Study of epidemiological features, antimicrobial resistance profile and clinical outcomes of healthcare-associated infections in intensive care units by Iranian Nosocomial Infection Surveillance System
Shahnaz Rimaz1,*, Parastoo Tajzadeh2,*, Milad Bahrami3,4.*, Mehdi Nooghabi5, Babak Eshrati6, Sohrab Effati7, Maryam Yaghoobi8,9
1 Radiation Biology Research Center, Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran. 2Department of Medical Laboratory Sciences, School of Nursing, Kashmar, Mashhad University of Medical Sciences, Mashhad, Islamic Republic of Iran. 3Department of Laboratory Sciences, Faculty of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Islamic Republic of Iran. 4Student Research Committee, Faculty of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Islamic Republic of Iran. 5Department of Statistics, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran. 6Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran. 7Department of Mathematics, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran. 8Department of Epidemiology, Faculty of Public Health, Iran University of Medical Sciences, Tehran, Iran (Correspondence: M. Yaghoobi:
*These authors contributed equally to this work.
Abstract
Background: Healthcare-associated infections are a major cause of mortality worldwide, especially in intensive care units (ICUs) where severely ill patients are in a limited physical space.
Aims: To investigate the incidence rate, microbial etiology, antimicrobial resistance profile, and mortality rate of healthcare-associated infections in ICUs.
Methods: This observational study retrospectively reviewed the medical records of 1722 ICU patients with confirmed healthcare-associated infections at hospitals affiliated with Mashhad University of Medical Sciences in 2017–2019. The patient data collected included age, sex, comorbidities, device use, causative agents, infection type, antimicrobial resistance profile, length of stay, and mortality.
Results: In total, 4077 pathogens were isolated, yielding a healthcare-associated infection incidence rate of 22.1%. The most common microorganisms were Acinetobacter spp. (25.0%), Klebsiella spp. (15.1%), Staphylococcus spp. (14.0%), and Candida spp.(12.3%). Ventilator-associated events (39.5%), urinary tract infections (22.7%), and bloodstream infections (14.8%) were the main types of infection. Comorbidities, skin and soft tissue infections, and infections with Acinetobacter spp., Klebsiella spp., Pseudomonas spp., and Candida spp. were significantly associated with higher mortality among ICU patients. Gram-positive bacteria were most resistant to ciprofloxacin (49.2%), clindamycin (38.0%), and erythromycin (37.1%). Gram-negative bacteria were most resistant to ceftazidime (71.0%), ciprofloxacin (65.2%), and cefotaxime (60.5%). The overall mortality rate was 45.2%.
Conclusion: Healthcare-associated infections in nearly half of ICU patients were fatal, especially when caused by Acinetobacter spp., Klebsiella spp., Pseudomonas spp., or Candida spp. Therefore, effective strategies must be implemented to combat antibiotic-resistant bacteria, along with stricter adherence to infection control programmes.
Keywords: healthcare-associated infection, intensive care unit, incidence, risk factor, drug resistance
Citation: Rimaz S, Tajzadeh P, Bahrami M, Nooghabi MJ, Eshrati B, Effati S et al. Study of epidemiological features, antimicrobial resistance profile and clinical outcomes of healthcare-associated infections in intensive care units by Iranian Nosocomial Infection Surveillance System. East Mediterr Health J. 2023;29(5):xxx-xxx http://doi.org/10.26719/emhj.23.043
Received: 05/08/22; accepted: 22/12/22
Copyright: © Authors; licensee World Health Organization. EMHJ is an open access journal. All papers published in EMHJ are available under the Creative Commons Attribution Non-Commercial ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo).
Introduction
Healthcare-associated infections arise 48 hours after hospital admission, and are a major cause of morbidity and mortality worldwide, accounting for ~2 million infections and 100 000 deaths annually (1, 2). In addition to prolonging hospital stay, healthcare-associated infections carry a huge financial burden, estimated at US$4.5 billion annually(3, 4). According to a World Health Organization (WHO) report, out of every 100 patients, 7 in high-income countries and 15 in low- and middle-income countries develop healthcare-associated infections during their stay at acute-care hospitals (5). The intensive care units (ICUs), in particular, are hotbeds for developing infections (5). Even though they account for < 10% of all hospital beds, 20–50% of all healthcare-associated infections are contracted in ICUs (6). Immunocompromise, use of invasive devices, severe underlying illnesses, and indiscriminate use of antibiotics are all factors that place ICU patients at increased risk of healthcare-associated infections (7). Therefore, managing infection risk in ICUs should be a priority for all health care professionals.
The prevention of healthcare-associated infections in ICUs requires rigorous control measures. To achieve infection control, WHO recommends a multimodal hand hygiene improvement strategy consisting of 5 critical elements: (1) providing clinical staff with the materials and equipment they need to perform hand hygiene at the point of care, such as alcohol-based hand rub, clean water, soap, and single-use towels; (2) training and education of health workers, patients, and visitors about the importance of hand hygiene; (3) regular evaluation of hand hygiene infrastructure, and monitoring compliance with hand hygiene programmes; (4) continually reminding health workers about the importance of maintaining hand hygiene, verbally or by visual prompts such as posters, stickers, or banners; and (5) prioritizing compliance with hand hygiene at institutional and individual levels to achieve patient and health worker safety (8). The WHO multimodal hand hygiene improvement strategy promises to prevent up to 50% of healthcare-associated infections and save 16 times the cost of implementation (8).
Even though many healthcare-associated infections can be avoided with proper infection control, it is impossible to eradicate them entirely, and antibiotics are still frequently prescribed for ICU patients (9). With abundant use of antibiotics in a limited space, ICUs are the ideal setting for the emergence and transmission of antibiotic-resistant bacteria (10). In this situation, clinicians may face a lack of effective treatment options as bacteria withstand the effects of antibiotics, leading to the emergence of multidrug-resistant, extensively drug-resistant, and pandrug-resistant strains (11). In 2019, antimicrobial resistance was estimated to be responsible for 1.27 million deaths worldwide (12). If we do not take prompt action now, antimicrobial resistance is estimated to cause 10 million deaths annually by 2050 (13).
The distribution of nosocomial infections and antibiotic resistance patterns vary geographically; therefore, each medical centre should devise its own specific antimicrobial treatment policy (14). This is the only way to reduce the incidence, mortality rate, and treatment cost of healthcare-associated infections. In this study, we attempted to investigate the incidence, microbial etiology, antimicrobial resistance profile, and clinical outcomes of healthcare-associated infections in ICUs in north-eastern Islamic Republic of Iran.
Methods
Study design
This observational study retrospectively reviewed the medical records of patients who acquired healthcare-associated infections in ICUs at 4 hospitals affiliated with Mashhad University of Medical Sciences, Islamic Republic of Iran between April 2017 and September 2019. Inclusion was restricted to patients who had been in an ICU for ≥ 48 hours and had developed healthcare-associated infections. Those with incomplete medical records were excluded from the data analysis. The infections were diagnosed according to criteria established by the US Centers for Disease Control and Prevention and the Iranian National Nosocomial Infections Surveillance Guideline (15, 16). Apart from clinical manifestations and physical examination, microbiological tests were undertaken to confirm the diagnosis of healthcare-associated infections. Antibiotic therapy was initiated in all patients after the antimicrobial sensitivity of bacterial isolates was determined.
Definitions
Healthcare-associated infection was defined as an adverse reaction to an infectious agent or its toxins 48 hours after hospital admission. Bloodstream infection was diagnosed if a pathogen was identified in 1 or more blood culture samples from a patient who had accompanying symptoms such as fever, chills, or hypotension. Pneumonia was diagnosed when a patient showed newly developed or progressive infiltrates, cavitation, consolidation, or pleural effusion; had new onset of purulent sputum or a change in the character of the sputum; or a pathogen was cultured from blood, tracheal aspirate, bronchoalveolar lavage, bronchial brushing, or biopsy. If pneumonia was caused by mechanical ventilation, the patient was diagnosed with ventilator-associated infection. Skin and soft tissue infection was defined as purulent pustules, vesicles, or boils, or having at least 2 of the following symptoms with no other recognized cause: pain or tenderness, localized swelling, redness, or heat. Surgical site infection was defined as an infection arising 30 days after surgery, from which a microorganism was isolated, or the site had a purulent discharge. Urinary tract infection was diagnosed when a patient had a urinary catheter placed for ≥ 2 consecutive days and showed ≥ 1 of the following symptoms: fever, urgency, frequency, dysuria, suprapubic tenderness, or costovertebral angle pain/tenderness.
Data collection
We obtained details of hospitalization of patients with healthcare-associated infection from their medical records in the Iranian Nosocomial Infection Surveillance System. The data collected included age, sex, comorbidities, invasive device use, type of infection, causative agents, antimicrobial resistance profile, length of stay, and mortality. Patients who experienced multiple healthcare-associated infections during their stay in hospital were counted separately for analysis of the type of microorganisms and site of infection.
Ethical considerations
The protocol complied with the ethical principles specified in the 1964 Helsinki Declaration and was approved by the Ethics Committee of Mashhad University of Medical Sciences (registration number IR.MUMS.REC.1399.331)and Iran University of Medical Sciences (registration number IR.IUMS.REC.1398.1219)
Statistical analysis
SPSS for Windows version 11 (SPSS Inc., Chicago, IL, USA) was used for data analysis. The categorical variables were described using frequency and percentage, whereas continuous variables were defined by mean (standard deviation) with 95% confidence interval (CI) for precision. Logistic regression analysis using the stepwise forward method was applied to estimate crude odds ratio (OR) and adjusted OR (AOR) with 95% CI, and to identify univariate and multivariate predictors of healthcare-associated infection mortality. All statistics were subjected to an effect size analysis. Statistical significance was defined as P < 0.05.
Results
Clinical and demographic characteristics
Over the course of the study,18 382 patients were admitted to ICUs and 1722 contracted healthcare-associated infections: 901 male (52.3%) and 821 female (47.7%), with a mean age of 57.30 (24.24) years (Table 1). Most (55.2%) patients with healthcare-associated infections were aged > 60 years. Children aged < 2 years (4.8%) and adults aged 40–59 years (22.1%) had the highest rate of healthcare-associated infections. While most patients had no underlying medical condition (30.8%), cardiac (17.5%) and respiratory (12.5%) diseases accounted for most comorbidity at the time of ICU admission. The incidence of healthcare-associated infections in ICU patients steadily increased over a 2-year period, starting from 49 cases in April 2017 to a peak of 269 in September 2019 (Figure 1). The median length of hospital stay was 20 days (interquartile range, 11–33 days). During their stay, patients developed healthcare-associated infections at a median of 5 days from admission to the first episode of infection (interquartile range, 2–12 days). Unfortunately, 45.2% of patients eventually died from infections acquired in the ICU (Table 1).
Device use, infection sites and nosocomial pathogens
During the study period, 4077 pathogens were isolated from 1722 patients: 981 (24.0%) Gram-positive bacteria, 2591 (63.6%) Gram-negative bacteria, and 505 (12.4%) fungi, yielding a healthcare-associated infection incidence rate of 22.1% (Table 2). The most common microorganisms were Acinetobacter spp. (25.0%), Klebsiella spp. (15.1%), Staphylococcus spp. (14.0%), and Candida spp. (12.3%). Among Gram-negative strains, Acinetobacter spp. (39.3%) were the most frequently isolated, followed by Klebsiella spp. (23.9%), Pseudomonas spp. (15.5%), and Escherichia coli (14.1%). Among Gram-positive strains, Staphylococcus spp. (58.4%), especially Staphylococcus aureus (25.0%), and Enterococcus spp. (32.8%) were responsible for most healthcare-associated infections in ICU patients. Endotracheal tubes (39.5%), urinary catheters (19.9%), central venous catheters (12.9%), and arterial catheters (0.3%) were the invasive devices mostly associated with healthcare-associated infections, and other devices were responsible for 31.0%. Ventilator-associated infection (39.5%), urinary tract infection (22.7%), and bloodstream infection (14.8%)were the 3 main types of infection in ICU patients (Table 2).
Independent predictors for mortality
Multivariate logistic regression analysis identified 6 independent predictors of mortality among ICU patients (Table 3). Patients with comorbidity had a significantly increased risk of death (P < 0.001, AOR: 1.46, 95% CI: 1.28–1.65). Acinetobacter spp. (P = 0.039, AOR: 1.40, 95% CI: 1.01–1.93), Klebsiella spp. (P = 0.013, AOR: 1.53, 95% CI: 1.09–2.15), Pseudomonas spp. (P < 0.0001, AOR: 1.93, 95% CI: 1.34–2.78), and Candida spp. (P < 0.0001, AOR: 1.99, 95% CI: 1.37–2.89) were independently associated with higher in-hospital mortality among ICU patients. Mortality associated with the isolated pathogens was: Pseudomonas spp. 59.9%, Candida spp. 59.5%, Klebsiella spp. 58.3%, Acinetobacter spp. 55.0%, E. coli 47.9%, Staphylococcus spp. (34.7%), Enterococcus spp. 47.8%, and Streptococcus spp. 38.4%. Among infection types, only skin and soft tissue infection had a significant mortality risk of 53.4% (P = 0.0391, AOR: 1.40, 95% CI: 1.01–1.93). Even though death from ventilator-associated, urinary tract, and bloodstream infections occurred in 57.2% (AOR: 0.75, 95% CI: 0.38–1.48), 51.6% (AOR: 0.48, 95% CI: 0.29–0.82), and 49.8% (AOR: 0.86, 95% CI: 0.56–1.31) of patients, respectively, logistic regression analysis did not establish a significant association with mortality. Death eventually occurred in 36.1% of patients with surgical site infection and 43.9% of those with pneumonia.
Antimicrobial resistance profile
Gram-positive and Gram-negative bacteria demonstrated varying levels of antimicrobial resistance. Gram-positive bacteria were most resistant to ciprofloxacin (49.2%), clindamycin (38.0%), erythromycin (37.1%), and cefoxitin (27.1%) (Table 4). S. aureus, Staphylococcus epidermidis, and other coagulase-negative staphylococci exhibited considerable resistance to ciprofloxacin (44.4%, 37.0%, and 50.2%), clindamycin (52.8%, 62.0%, and 56.8%), erythromycin (51.2%, 62.0%, and 53.3%), and cefoxitin (41.4%, 52.0%, and 42.2%). Enterococcus spp. were also highly resistant to ciprofloxacin (63.0%), vancomycin (63.0%), and ampicillin (47.2%). However, Streptococcus spp. were susceptible to most antibiotics, except for erythromycin and clindamycin, which recorded resistance of 36.9% and 30.7%, respectively.
<body>Gram-negative bacteria exhibited strong resistance to ceftazidime (71.0%), ciprofloxacin (65.2%), cefotaxime (60.5%), gentamicin (55.2%), trimethoprim–sulfamethoxazole (51.2%), amikacin (46.6%), and imipenem (35.2%). Infections with Acinetobacter spp., Klebsiella spp., and Pseudomonas spp. were best treated with amoxicillin/clavulanic acid (99.4%, 99.4%, and 99.6% susceptibility), ampicillin (98.0%, 96.4%, and 97.1% susceptibility), levofloxacin (96.8%, 98.3%, and 98.6% susceptibility), and cefepime (81.7%, 81.7%, and 80.7% susceptibility). However, treatment with ceftazidime and ciprofloxacin was relatively ineffective because Acinetobacter spp., Klebsiella spp., and Pseudomonas spp. were resistant to ceftazidime (74.9%, 79.8%, and 62.0%) and ciprofloxacin (70.1%, 61.4%, and 69.6%). E. coli also demonstrated resistance to ceftazidime (50.1%), ciprofloxacin (47.9%), cefotaxime (43.8%), and trimethoprim–sulfamethoxazole (36.7%), although to a lesser extent than the other Gram-negative bacteria.
Discussion
In this study, we found a high incidence (22.1%) of healthcare-associated infections in ICUs in north-eastern Islamic Republic of Iran. The most commonly isolated microorganisms were Acinetobacter spp., Klebsiella spp., Staphylococcus spp., and Candida spp. The main types of infection were ventilator-associated, urinary tract, and bloodstream infections. Comorbidities, skin and soft tissue infections, and infections with Acinetobacter spp., Klebsiella spp., Pseudomonas spp., and Candida spp. were associated with higher mortality among ICU patients. Gram-positive bacteria exhibited the strongest resistance to ciprofloxacin, clindamycin, and erythromycin, and Gram-negative bacteria were most resistant to ceftazidime, ciprofloxacin, and cefotaxime.
ICUs are breeding grounds for healthcare-associated infections (5). In ICUs, physicians and nurses can act as vehicles for transferring resident pathogens between wards (17). ICU patients undergo invasive medical procedures and are in a debilitated condition; therefore, they have a 5–10 times higher risk of developing healthcare-associated infections than patients in general medical wards (18). This is why despite representing < 10% of hospital beds, ICUs account for 20–50% of all healthcare-associated infections (6). In 2017, the global incidence of healthcare-associated infections in ICUs was as high as 54% (19), whereas in Europe, the incidence was only 8.3% (20). In our study, healthcare-associated infections occurred in 22.1% of the study population, which was higher than the 9.6–12% documented in previous studies (21, 22).This rate is of concern because it has been steadily increasing from 2017 to 2019. A study in northern Islamic Republic of Iran revealed that compliance with WHO hand hygiene guidelines was as low as 43.4% (23). More disturbingly, another study found that only 56.6% of health care workers had good knowledge of hand hygiene (24). It is now evident that serious action is required to lower the incidence of healthcare-associated infections in Iranian hospitals. We hope to take a critical step toward helping hospitals optimize their infection control programmes and minimize cross-infection risk by identifying the root causes of healthcare-associated infections as well as their microbial etiology and patterns of antimicrobial resistance.
The present study indicated that Acinetobacter spp. (25.0%), Klebsiella spp. (15.1%), Staphylococcus spp.(14.0%), and Candida spp. (12.3%) were the most common microorganisms responsible for healthcare-associated infections in ICUs in northeast Islamic Republic of Iran. Infections with Acinetobacter spp., Klebsiella spp., Pseudomonas spp., and Candida spp. were independently associated with higher in-hospital mortality among ICU patients. In a national study with a similar design, Etemad et al. discovered that Acinetobacter spp. (16.52%), E. coli (12.01%), and Klebsiella spp. (9.93%) were the major microorganisms isolated from ICU patients in the Islamic Republic of Iran. They also found that Acinetobacter spp., Enterococcus spp., Enterobacter spp., and Candida spp. were associated with an increased risk of in-hospital mortality (25). Similarly, in a multicentre study by Jahani-Sherafat et al., Acinetobacter baumannii (33.3%), S. aureus (14.4%), and Pseudomonas aeruginosa (14.4%) were the most prevalent pathogens causing healthcare-associated infections in ICUs, followed by Klebsiella pneumoniae (10.9%) and Enterococcus spp. (8.7%) (26). The prevalence and distribution of microorganisms that cause healthcare-associated infections vary by hospital, geographic area, and patient status (27). It is, therefore, reasonable to expect differences from previous studies regarding microbial etiology.
In our study, endotracheal tubes, urinary catheters, and central venous catheters were the invasive devices most frequently associated with healthcare-associated infections. As demonstrated by the US National Nosocomial Infection Surveillance System, mechanical ventilators, urinary catheters, and central venous catheters contributed to 83% of nosocomial pneumonia, 97% of urinary tract infections, and 87% of bloodstream infections in ICUs (28). The most common types of infection among our ICU patients were ventilator-associated, urinary tract, and bloodstream infections, in accordance with previous regional studies (29, 30). However, none of these infections were associated with an increased risk of death, as also found by Boncagni et al. (31). The only type of infection that was independently associated with increased mortality risk was skin and soft tissue infection. In contrast, Rosenthal et al. conducted a multicentre cohort study of 786 ICUs worldwide and found that ventilator-associated, urinary tract, and bloodstream infections were independent risk factors for mortality (32). This was supported by Bonnet et al. who reported that lung, urinary tract, and bloodstream infections were the most prevalent among ICU patients and were all closely associated with higher mortality (33). The currently available data are inconclusive; therefore, this issue warrants further research.
In our study, treatment of ICU patients was largely interrupted because the bacteria were resistant to the antibiotics. Ceftazidime, cefotaxime, and ciprofloxacin achieved little clinical success against Acinetobacter spp., Klebsiella spp., and Pseudomonas spp. Isolates of Staphylococcus spp. showed resistance to ciprofloxacin, clindamycin, and erythromycin, and Enterococcus spp. were resistant to ciprofloxacin, vancomycin, and ampicillin. Similar patterns of resistance were observed in ICUs in Tehran, where Amimi et al. reported high resistance to ciprofloxacin, cefotaxime, ceftazidime, and ampicillin among A. baumannii, E. coli, P. aeruginosa, and K. pneumoniae isolates (34). Likewise, in Qazvin, Bagherian et al. demonstrated that most strains of Acinetobacter spp., Klebsiella spp., and Pseudomonas spp. Were markedly resistant to most prescribed antibiotics, especially ciprofloxacin, ceftazidime, cefotaxime, cefepime, and piperacillin (35). With such high resistance to a variety of antibiotics, infections that were once curable with a short course of antibiotics could become incurable. In that case, it is reasonable to propose that the high mortality rate of 45.2% observed in our study could have been caused by antibiotic resistance. Hence, it becomes even more important for hospitals to prioritize the rational prescription of antibiotics in their infection control plans.
Our study had a few limitations. The Iranian Nosocomial Infections Surveillance System does not cover different scoring systems that can predict mortality in patients with critical conditions based on clinical and laboratory findings, such as acute physiology and chronic health evaluation (APACHE), sequential organ failure assessment (SOFA), and mortality in emergency department sepsis (MEDS) scores. Thus, we were unable to evaluate the impact of such variables on mortality at ICU admission. The system does not record the hospitalization data of patients who did not contract healthcare-associated infections in ICUs. Therefore, we could not perform further analysis to identify the risk factors for healthcare-associated infections. Taking these factors into account, we strongly recommend conducting a prospective study, possibly with a larger sample size, to capture as much information as possible at ICU admission. Regardless of its limitations, our study offers valuable insight into the epidemiology and etiology of healthcare-associated infections in ICUs in northeast Islamic Republic of Iran.
Conclusion
We documented a high incidence of healthcare-associated infection in ICUs in north-east Islamic Republic of Iran. Because of the emergence of resistant microorganisms in ICUs, healthcare-associated infections in nearly half of ICU patients eventually lead to death, especially when caused by Acinetobacter spp., Klebsiella spp., or Pseudomonas spp. The use of endotracheal tubes and urinary catheters may further expose patients to the risk of healthcare-associated infection. Therefore, to reduce these infections, effective strategies to combat antibiotic-resistant bacteria must be implemented, along with stricter adherence to infection control programmes and enhancement of infection control using feasible and affordable tools and resources. Our findings could be used by policy-makers to develop more practical protocols for hand hygiene, reducing contact with patients, and using invasive devices. Staff training programmes, along with continuous supervision and monitoring, are also essential to prevent the spread of infection.
Acknowledgements
We would like to thank the Vice Chancellors for Research Affairs of Mashhad University of Medical Sciences and Iran University of Medical Sciences (IUMS) for financial support.
Conflict of interest: None declared.
Funding: This work was supported by Mashhad University of Medical Sciences and Iran University of Medical Sciences (Grant numbers 981547 and 16229).
References
- Wang L, Zhou K-H, Chen W, Yu Y, Feng S-F. Epidemiology and risk factors for nosocomial infection in the respiratory intensive care unit of a teaching hospital in China: a prospective surveillance during 2013 and 2015. BMC Infect Dis. 2019 Feb 12;19(1):1–9. https://doi.org/10.1186/s12879-019-3772-2 PMID:30755175
- Gulsen A, Ahmet S, Fethi G, Eda Kepenekli K, Mustafa Kemal A, Nurhayat Y, et al. Reduction of nosocomial infections in the intensive care unit using an electronic hand hygiene compliance monitoring system. J Infect Dev Ctries. 2021 Dec 31;15(12):1923–8. https://doi.org/10.3855/jidc.14156 PMID:35044952
- Prakash AC, Prakash A, Sahay CB. A study of nosocomial infections in an intensive care unit in Department of Neurosurgery RIMS Ranchi. IOSR J Dent Med Sci. 2019 Jan;18(1):7–9. https://www.iosrjournals.org/iosr-jdms/papers/Vol18-issue1/Series-15/B1801150709.pdf
- Mythri H, Kashinath K. Nosocomial infections in patients admitted in intensive care unit of a tertiary health center, India. Ann Med Health Sci Res. 2014 Sep;4(5):738–41. https://doi.org/10.4103/2141-9248.141540 PMID:25328785
- Global report on infection prevention and control. Geneva: World Health Organization; 2022 (https://www.who.int/publications/i/item/9789240051164, accessed 1 February 2023).
- Kołpa M, Wałaszek M, Gniadek A, Wolak Z, Dobroś W. Incidence, Microbiological profile and risk factors of healthcare-associated infections in intensive care units: a 10 year observation in a provincial hospital in Southern Poland. Int J Environ Res Public Health. 2018 Jan 11;15(1):112. https://doi.org/10.3390/ijerph15010112 PMID:29324651
- Kumar A, Tanwar S, Chetiwal R, Kumar R. Nosocomial infections-related antimicrobial resistance in a multidisciplinary intensive care unit. MGM J Med Sci. 2022;9(1):12. https://doi.org/10.4103/mgmj.mgmj_110_21
- WHO guidelines on hand hygiene in health care. Geneva: World Health Organization; 2009 (WHO/IER/PSP/2009/01; https://www.who.int/publications/i/item/9789241597906, accessed 1 February 2023).
- Karn M, Bhargava D, Dhungel B, Banjara MR, Rijal KR, Ghimire P. The burden and characteristics of nosocomial infections in an intensive care unit: A cross-sectional study of clinical and nonclinical samples at a tertiary hospital of Nepal. Int J Crit Illn Inj Sci. 2021 Oct–Dec;11(4):236–45. https://doi.org/10.4103/ijciis.ijciis_7_21 PMID:35070914
- Peters L, Olson L, Khu DTK, Linnros S, Le NK, Hanberger H, et al. Multiple antibiotic resistance as a risk factor for mortality and prolonged hospital stay: a cohort study among neonatal intensive care patients with hospital-acquired infections caused by gram-negative bacteria in Vietnam. PLoS One. 2019 May 8;14(5):e0215666. https://doi.org/10.1371/journal.pone.0215666 PMID:31067232
- Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. 2012 Mar;18(3):268–81. https://doi.org/10.1111/j.1469-0691.2011.03570.x PMID:21793988
- Murray CJL, Ikuta KS, Sharara F, Swetschinski L, Robles Aguilar G, Gray A, et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet. 2022 Feb 12;399(10325):629–55. https://doi.org/10.1016/S0140-6736(21)02724-0 PMID:35065702
- O’Neill J (chair). Antimicrobial resistance. Tackling a crisis for the health and wealth of nations. HM Government; Wellcome Trust; 2014 (https://amr-review.org/sites/default/files/AMR%20Review%20Paper%20-%20Tackling%20a%20crisis%20for%20the%20health%20and%20wealth%20of%20nations_1.pdf, accessed 1 February 2023).
- Temel MT, Mete AO. Nosocomial infections and antibiotic resistance in a tertiary university hospital pediatric intensive care unit. Ann Med Res. 2019;26(9):1974–8. https://annalsmedres.org/index.php/aomr/article/view/1704
- Asl HM. National Nosocomial Infections Surveillance Guideline. Ministry of Health, Treatment and Medical Education; 2006 (in Persian) (https://treatment.sbmu.ac.ir/uploads/0061-ofoonat.pdf, accessed 1 February 2023).
- Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008 Jun;36(5):309–32. https://doi.org/10.1016/j.ajic.2008.03.002 PMID:18538699
- Tajeddin E, Rashidan M, Razaghi M, Javadi SS, Sherafat SJ, Alebouyeh M, et al. The role of the intensive care unit environment and health-care workers in the transmission of bacteria associated with hospital acquired infections. J Infect Public Health. 2016 Jan–Feb;9(1):13–23. https://doi.org/10.1016/j.jiph.2015.05.010 PMID:26117707
- Braga IA, Campos PA, Gontijo-Filho PP, Ribas RM. Multi-hospital point prevalence study of healthcare-associated infections in 28 adult intensive care units in Brazil. J Hosp Infect. 2018 Jul;99(3):318–24. https://doi.org/10.1016/j.jhin.2018.03.003 PMID:29522784
- Vincent J-L, Sakr Y, Singer M, Martin-Loeches I, Machado FR, Marshall JC, et al. Prevalence and outcomes of infection among patients in intensive care units in 2017. JAMA. 2020 Apr 21;323(15):1478–87. https://doi.org/10.1001/jama.2020.2717 PMID:32207816
- Healthcare-associated infections acquired in intensive care units – annual epidemiological report for 2017. Stockholm: European Centre for Disease Prevention and Control; 2019 (https://www.ecdc.europa.eu/en/publications-data/healthcare-associated-infections-intensive-care-units-annual-epidemiological-1, accessed 1 February 2023).
- Izadi N, Eshrati B, Mehrabi Y, Etemad K, Hashemi-Nazari SS. The national rate of intensive care units-acquired infections, one-year retrospective study in Iran. BMC Public Health. 2021 Mar 29;21(1):609. https://doi.org/10.1186/s12889-021-10639-6 PMID:33781227
- Assar S, Akhoundzadeh R, Aleali AM, Salemzadeh M, editors. Survey of nosocomial infections and causative bacteria: a hospital-based study Pak J Med Sci. 2012 Apr–Jun;28(3):455–8.
- Nezhad RV, Yaghoubi A, Ghazvini K. Compliance of healthcare workers with hand hygiene practices in the northeast of Iran: an overt observation. Interdiscip Perspect Infect Dis. 2014;2014:306478. https://doi.org/10.1155/2014/306478 PMID:25525428
- Goodarzi Z, Haghani S, Rezazade E, Abdolalizade M, Khachian A. Investigating the knowledge, attitude and perception of hand hygiene of nursing employees working in intensive care units of Iran University of Medical Sciences, 2018–2019. Maedica (Bucur). 2020 Jun;15(2):230–7. https://doi.org/10.26574/maedica.2020.15.2.230 PMID:32952688
- Etemad M, Khani Y, Hashemi-Nazari SS, Izadi N, Eshrati B, Mehrabi Y. Survival rate in patients with ICU-acquired infections and its related factors in Iran’s hospitals. BMC Public Health. 2021 Apr 24;21(1):787. https://doi.org/10.1186/s12889-021-10857-y PMID:33894766
- Jahani-Sherafat S, Razaghi M, Rosenthal VD, Tajeddin E, Seyedjavadi S, Rashidan M, et al. Device-associated infection rates and bacterial resistance in six academic teaching hospitals of Iran: findings from the International Nocosomial Infection Control Consortium (INICC). J Infect Public Health. 2015 Nov–Dec;8(6):553–61. https://doi.org/10.1016/j.jiph.2015.04.028 PMID:26027477
- Mazloomirad F, Hasanzadeh S, Sharifi A, Nikbakht G, Roustaei N, Khoramrooz SS. Identification and detection of pathogenic bacteria from patients with hospital-acquired pneumonia in southwestern Iran; evaluation of biofilm production and molecular typing of bacterial isolates. BMC Pulm Med. 2021 Dec 9;21(1):408. https://doi.org/10.1186/s12890-021-01773-3 PMID:34886838
- Richards MJ, Edwards JR, Culver DH, Gaynes RP. Nosocomial infections in combined medical-surgical intensive care units in the United States. Infect Control Hosp Epidemiol. 2000 Aug;21(8):510–5. https://doi.org/10.1086/501795 PMID:10968716
- Jahani-Sherafat S, Razaghi M, Rosenthal VD, Tajeddin E, Seyedjavadi S, Rashidan M, et al. Device-associated infection rates and bacterial resistance in six academic teaching hospitals of Iran: Findings from the International Nocosomial Infection Control Consortium (INICC). J Infect Public Health. 2015;8(6):553-61.
- Afhami S, Seifi A, Hajiabdolbaghi M, Bazaz NE, Hadadi A, Hasibi M, et al. Assessment of device-associated infection rates in teaching hospitals in Islamic Republic of Iran. East Mediterr Health J. 2019 Mar 19;25(2):90–7. https:/doi.org/10.26719/emhj.18.015 PMID:30942472
- Boncagni F, Francolini R, Nataloni S, Skrami E, Gesuita R, Donati A, et al. Epidemiology and clinical outcome of Healthcare-Associated Infections: a 4-year experience of an Italian ICU. Minerva Anestesiol. 2015 Jul;81(7):765–75. PMID:25582669
- Rosenthal VD, Yin R, Lu Y, Rodrigues C, Myatra SN, Kharbanda M, et al. The impact of healthcare-associated infections on mortality in ICU: A prospective study in Asia, Africa, Eastern Europe, Latin America, and the Middle East. Am J Infect Control. 2022 Sep 6;S0196-6553(22)00658-7. https://doi.org/10.1016/j.ajic.2022.08.024 PMID:36075294
- Bonnet V, Dupont H, Glorion S, Aupée M, Kipnis E, Gérard JL, et al. Influence of bacterial resistance on mortality in intensive care units: a registry study from 2000 to 2013 (IICU Study). J Hosp Infect. 2019 Jul;102(3):317–24. https://doi.org/10.1016/j.jhin.2019.01.011 PMID:30659869
- Amini M, Ansari I, Vaseie M, Vahidian M. Pattern of antibiotic resistance in nosocomial infections with Gram-negative bacilli in ICU patients (Tehran, Iran) during the years 2012-2014. J Basic Clin Pathophysiol. 2018 Feb;6(1):23–30. https://doi.org/10.22070/JBCP.2018.3109.1092
- Bagherian F, Nikoonejad A, Allami A, Dodangeh S, Yassen LT, Hosienbeigi B. Investigation of antibiotic resistance pattern in isolated from urine and blood samples of patients admitted to the intensive care unit of Velayat Hospital in Qazvin, Iran. mljgoums. 2021 Nov–Dec;15(6):31–7. http://mlj.goums.ac.ir/article-1-1368-en.html
Responding to COVID-19: lessons learnt from Hadhramaut
Abdulla Bin Ghouth1, Nuha Mahmoud2
1Department of Community Medicine, Hadhramaut University, Al Mukalla, Yemen (Correspondence to: A.S. Bin Ghouth:
Abstract
Background: The health system in Hadhramaut Valley and Desert responded to the COVID-19 pandemic differently from other areas in Yemen. The local authority in Syoun (Hadhramaut Valley) called all key players from the health and related sectors to a meeting in February 2020. They decided to establish a committee to evaluate the health situation and assess the needs. Based on the results of these assessments, a plan was designed to responded to COVID-19.
Aims: To document the response of the local authority and Ministry of Health in Hadhramaut to COVID-19.
Methods: We reviewed the available documents, interviewed the main stakeholders, and conducted site visits.
Results: There was evidence of the crucial role played by the local authority in response to COVID-19. The main achievements were establishing 3 well-equipped isolation centres with a total of 142 beds, a stock of 2250 oxygen cylinders, 2 new polymerase chain reaction units, a straightforward referral system, and an effective follow-up and oxygen home therapy strategy.
Conclusion: Political commitment at the local level is a priority approach to bridging the gap between policy and implementation, especially in infectious disease outbreak crises. It is important to train public health leaders for assessment of local health needs. The lessons learned from this study provide evidence of how local authorities can respond to emerging needs through guiding the coordination and updating the national strategies.
Keywords: local authority, COVID-19, evidence-informed policy-making, pandemic response, Yemen
Citation: Bin Ghouth A, Mahmoud N. Responding to COVID-19: lessons learnt from Hadhramaut . East Mediterr Health J. 2023;29(5):xxx-xxx https://doi.org/10.26719/emhj.23.036
Received: 10/03/22; accepted: 05/10/22
Copyright: © Authors; licensee World Health Organization. EMHJ is an open access journal. All papers published in EMHJ are available under the Creative Commons Attribution Non-Commercial ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo).
Introduction
Hadhramaut Governorate is the largest area in eastern Yemen with a population of about 1 651 000 according to the 2021 projection (1). It is divided administratively into 2 parts: the coastal area with Mukalla City at its centre, and the valley and desert area where Syoun City is the centre. In Hadhramaut Valley and Desert, there are 16 districts with a population of 734 529 inhabitants in 2021 (2). The health services in Hadhramaut are supervised by the Ministry of Public Health and Population based in Syoun City. There is 1 public referral hospital (Syoun Hospital), 2 general hospitals, 5 district hospitals, 37 primary healthcare centres, and 136 health units besides the private hospitals and clinics.
The first confirmed case of COVID-19 was reported in Yemen on 10 April 2020 in Hadhramaut. Up to September 2021, Yemen has faced 3 waves of the pandemic. At the beginning of the pandemic there was no polymerase chain reaction (PCR) unit to diagnose the disease in Hadhramaut; therefore, the Ministry sent the laboratory samples to Mukalla Central Public Health Laboratory (300 km to the south). There were only 10 available intensive care unit (ICU) beds; 6 in Syoun Hospital and 2 each in Al-Qaten and Tareem Hospitals. In February 2020, there was no isolation centre or ICU beds for COVID-19 in Yemen, compounded by a shortage of supplies.
To respond to the emerging pandemic, the local authority in Syoun (Hadhramaut Valley) called all the key stakeholders in the health and other related sectors to a meeting in February 2020. At this meeting, a decision was made to establish a committee to evaluate the health situation and assess local needs, and a plan was devised to respond to COVID-19. The local authority used its experience in responding to previous health crises, such as various dengue outbreaks, and the Chapala cyclone that hit Hadhramaut in 2008. This response was based on the ability of the local authority to mobilize resources from nongovernmental organizations (NGOs), trades people, and oil companies.
The aim of this study was to describe the design, implementation, and evaluation of the response of the local authority and Ministry to the COVID-19 pandemic in Hadhramaut, Yemen, and to show how the evidence from local data and knowledge was used in decision-making.
Methods
Study setting and design
The study was conducted in Syoun, the main city in Hadhramaut Valley, Yemen (Figure 1). The investigators used a combination of quantitative and qualitative methods.
Data collection
Quantitative data were collected from the COVID-19 Surveillance System in Syoun. This included the number of cases reported and admitted to the COVID-19 isolation centres, and the incidence per 100 000 population was calculated. Qualitative data were collected through face-to-face interview of main stakeholders and direct observation. Data from needs assessment was analysed. An Excel sheet was developed for data entry and analysis.
Data collection for the needs assessment checklist was undertaken in 2 phases. Phase 1: August–September 2020; the principal investigator assessed through direct observation the isolation centres in Hadhramaut as part of the World Health Organization (WHO) assessment of COVID centres. Phase 2: September 2021; the investigators visited Syoun and interviewed the main stakeholders, including the Assistant Governor, Ministry of Public Health and Population General Director, and the surveillance team and staff in the 3 isolation centres. The semistructured interview included the following questions. (1) How was the decision to build a long-term response plan made when there was no clarity on the timelines for COVID-19? (2) How were decisions regarding responses made? (3) What were the main interventions of the local authority in response to the COVID-19 pandemic? (4) What was the role of other stakeholders and how was coordination with them organized? (5) What were the main challenges faced? (6) How did you deal with the problem of oxygen shortage? (7) What were the priorities in your further planning based on the experience of the COVID-19 pandemic?
In Phase 1, data were collected using the WHO checklist (3). In Phase 2, data were collected through semistructured interviews and these were complemented with a review of available reports, including Ministry documents from the Surveillance and Medical Supply Departments, and hospital data. During Phase 2, data on infrastructure and equipment, oxygen supply, and human resources, and surveillance and hospital data were also collected. Data collected from the needs assessment were communicated to decision-makers through face-to-face meetings, and telephone, and WhatsApp.
The intended use of these data for policy-making was envisioned at different levels: (1) at a local level to encourage commitment towards the health system; (2) to other governorates to present them with a role model of local authority response; and (3) to the Ministry and international organizations to document this approach as an innovative health policy.
Results
Local authority interventions in early response to COVID-19 pandemic
The following interventions were undertaken, based on the needs assessment. Risk stratification created 3 sectors: Syoun in the centre of Hadhramaut Valley covered 3 districts, Al-Qaten in the west, covered 8 districts, and Tareem in the east covered 5 districts. At the local authority meeting, all stakeholders agreed with this stratification based on geographical, environmental, and accessibility considerations. This stratification was used to establish 3 COVID-19 isolation centres in Syoun, Al-Qaten, and Tareem, to facilitate patients’ access to health services, organize referral procedures, and reduce overload on the bed capacity of the main referral hospital in Syoun.
A committee from the Ministry of Public Health and Population office in Syoun and staff from different hospitals visited all hospitals. The committee assessed the healthcare needs based on the available resources. The committee recommended that the local authority establish 3 COVID-19 isolation centres in Syoun, Al-Qaten, and Traeem, with appropriate equipment, oxygen supply, electricity, staff requirements, and other medical and nonmedical logistics. This approach proved to be important in avoiding pressure on hospitals, and allowed policy-makers and health officials to monitor potential healthcare demand, to tackle the enormous logistical challenges and to re-allocate resources at a local level.
NGOs, oil companies, and tradespeople all participated in the COVID-19 response, by paying for oxygen cylinders, food and drugs for patients, and cleaning materials for the new isolation centres. To do this, the local authority called all NGOs in Hadhramaut to a meeting at which the importance of their role in the COVID-19 response was explained and they were briefed about the results of the needs assessment. Oil companies and tradespeople were contacted directly.
The local authority and Ministry of Public Health and Population coordinated with other regional and international agencies such as the King Salman for Aid and Humanitarian Work, WHO, and Kuwait Red Crescent. Their input facilitated the preparedness of the isolation centre in Syoun (2020), PCR units in Syoun and Al-Wadeeah, and Tareem Field Hospital (2021). WHO also participated in increasing the capacity of physicians, health workers, and surveillance teams.
Outcomes of the intervention
Establishing the COVID-19 isolation centres
The needs assessment conducted by the Syoun Office of the Ministry of Public Health and Population recommended establishment of 3 COVID-19 isolation centres according to the recommended geographical stratification in Syoun, Al-Qaten and Tareem. This was supported by the local authority. Two COVID-19 isolation centres were established in March–April 2020 in Syoun (25 beds) (4) and in Al-Hayat Hospital in Al-Qaten (53 beds) in early 2021 (5), and Tareem Field Hospital (60 beds) was also established in early 2021. Three new COVID-19 isolation centres were established in 16 districts of Hadhramaut Valley and Desert, with a total of 142 beds, including 16 ICU beds and 14 ventilators for treatment of 734 529 patients. Two PCR units were also established in Syoun and Al-Wadeeah, at the entry point to Saudi Arabia.
Establishing a strategic store for oxygen supply
The oxygen storage strategy resulted from continuous monitoring and follow-up by the local authority, and the Ministry of Public Health and Population supported the decision to pursue this strategy. A total of 2050 oxygen cylinders of 40 l were provided by the local authority, 200 by the Ministry, and 300 by other hospitals During the site visit to the oxygen store, there were 1300 full cylinders, while the remaining 1250 cylinders were in use or away for filling. The Ministry Office in Syoun oversaw and coordinated home oxygen therapy.
According to a doctor on duty at Tareem Field Hospital: “All patients initially attend the triage unit in the COVID-19 centre for investigation and diagnosis, and to determine whether their clinical status is suitable for home oxygen therapy. The doctor on duty gives permission to supply the patient with an oxygen cylinder at home and the patient is followed up by the centre every 2–3 days to check if their condition has deteriorated”. A Ministry official stated that “this approach is used in all the COVID-19 centres in Syoun, Al-Qaten, and Tareem, and every patient treated at home by oxygen is registered and followed up by the centre”.
Key achievements in response to COVID-19 pandemic
The key achievements in response to the COVID-19 pandemic were: (1) 3 well-equipped COVID-19 isolation centres were established, with 142 beds; (2) a stock of 2250 oxygen cylinders was provided to resolve the problem of oxygen shortage (Table 1); (3) 2 new PCR units were established; (4) a straightforward referral system was established; (5) an effective follow-up and oxygen home therapy strategy was developed; (6) a well-coordinated response led by the local authority; and (7) a sustainable capacity to respond to any new epidemics was put in place.
Analysis of the COVID-19 surveillance data
The number of confirmed cases of COVID-19 increased from 428 in 2020 to 962 in 2021 (+124%) (Table 2). The number of cases admitted to the isolation centres increased by 17% from 264 in 2020 to 310 in 2021. It was clear that the centres in Al-Qaten and Traeem relieved overstretching of the capacity of the Syoun centre. These findings vindicated the decision of the local health authority to establish these COVID-19 isolation centres.
Discussion
This study described the response of the local authority in Hadhramaut Valley in Yemen to the COVID-19 pandemic. The main interventions undertaken by the local authority and Ministry of Public Health and Population were coordination with all stakeholders, geographic stratification, and rapid health needs assessment. These interventions led to establishment of 3 new COVID-19 isolation centres, 2 PCR units, secure oxygen supply, and an improved referral system and home therapy.
Systematic reviews are the best method to search for evidence in public health practice for decision-making but they take longer than the limited time available to take decisions during crises like the COVID-19 pandemic (6). Some organizations used rapid review methods to answer urgent questions during the pandemic (7). Hamel et al. in 2020 defined rapid review as “a form of knowledge synthesis that accelerates the process of conducting a traditional systematic review through streamlining or omitting a variety of methods to produce evidence in a resource-efficient manner” (8). In the Islamic Republic of Iran, a rapid qualitative study among 30 stakeholders provided evidence to policy-makers about which messages were needed in the COVID-19 pandemic, through developing knowledge translation exchange tools (9). All countries face challenges in performing evidence-informed decision-making. In a study of 11 countries in 2022, Vickery et al. concluded that there was an urgent need for evidence-informed decision-making that countries could adapt for local decisions as well as coordinated global responses to future pandemics (10).
Yemen has faced an exceptional emergency situation since 2015, and the pandemic has overstretched the capacity of its already weak health system, which resulted in every local authority making its own response. In Hadhramaut Governorate during February–March 2020, there were many challenges and the local authority sought evidence for informed decision-making in responding to the COVID-19 pandemic, and this was achieved through rapid needs assessment.
During a pandemic, it is critical to prepare appropriate infrastructure and capacity to make an emergency response. Adequate hospital bed capacity is one of the most critical issues during the heath service response to epidemics (11). Even countries with strong health systems, such as Saudi Arabia (12), United States of America (13), and Italy (11), had limited hospital bed capacity and needed additional beds. In Hadhramaut Valley, the local authority took the lead instead of central government in the early response to COVID-19, and a local committee was established to assess the needs of the health sector. The committee recommended that the local authority should establish 3 COVID-19 isolation centres in 3 sectors (Syoun, Al-Qaten, and Traeem) with adequate equipment and oxygen supply, electricity, required staffing levels, and other medical and nonmedical logistics. This approach proved to be important in avoiding pressure on hospitals, and allowed policy-makers and health officials to monitor the potential healthcare demand, to tackle the enormous logistical challenges and re-allocate resources at a local level. This approach was also used in England (14).
The local health authority in Hadhramaut responded to the community demand for home treatment of COVID-19, but at that time, there was no clear national recommendation for home treatment of patients who needed oxygen therapy. In Hadhramaut Valley, the Ministry of Public Health and Population developed a policy for home oxygen therapy and a clear follow-up strategy. Home oxygen therapy is a form of community-based care that is recommended to address patient care and healthcare resource limitations (15). The eligibility criteria for referral to the home oxygen therapy team for short-term administration have been extrapolated from existing long-term oxygen therapy regimens (16).
The lessons learned from this study provide evidence of the critical role of the local authority in Hadhramaut in responding to the COVID-19 pandemic through guiding coordination with all stakeholders and updating the national strategies to bridge the gap between policy and implementation. Evidence from Syoun suggests that local authority investment in the health sector should be focused on proper coordination with all stakeholders and early needs assessment. This approach has built a high degree of trust and cooperation among local partners, and facilitated effective implementation of the COVID-19 response. These observations can serve as a foundation for future studies on how existing institutional arrangements can form part of a successful pandemic response. If similar policies based on local needs assessment were to become standardized, it would help with the preparedness of any governorate or country for future pandemics or other health emergencies. This approach is supported by evidence from other studies and countries (17), which emphasized that local governance was important in bridging the gap between policy and the local situation for better coordination of the response to COVID-19.
There were some limitations to this study. The research was focused on Hadhramaut Valley but did not extend to the coastal region or other governorates in Yemen to compare the response of the local authorities in different places. Another limitation was that the needs assessment tool was locally developed and focused on urgent care needs of patients with COVID-19 and did not cover all the essential health services.
Conclusions
Seeking political commitment at the local level is a priority approach to bridging the gap between policy and implementation in infectious disease outbreaks. The capacity to carry out health needs assessment is important. It is clear that evidence from needs assessment can inform local authorities to take decisions and mobilize local resources to respond to outbreaks. This approach may be appropriate in other countries that share the same situation as Yemen. We hope that central authorities, international organizations, and donor countries will work with local authorities because the latter have sufficient local experience and creativity in health and related fields.
Acknowledgement
We thank Dr. Hani Khaled Al-Amoudi, General Director of the office of the Ministry of Public Health and Population in Hadhramaut Valley and Desert, and Dr. Ghazi Bashamakah, Assistant Director of Primary Health Care in Hadramout Valley and Desert (Ministry of Public Health and Population) for administrative support and study participation. Our thanks extend to Assam Al-Katheri, previous Assistant Governor for Hadhramaut Valley and Desert (the local authority) for his participation and provision of valuable data during the interviews; Dr. Arash Rashidian, Director of Science, Information and Dissemination at the WHO Regional Office for the Eastern Mediterranean Region (EMRO); Dr. Mehrnaz Kheirandish, Regional Advisor for Evidence and Data to Policy at EMRO); and Ms. Sumithra Krishnamurthy Reddiar, Technical Officer, Evidence and Data to Policy at EMRO for technical advice and support through all stages of the study; and Ms. Hala Hamada, Programme Assistant, Evidence and Data to Policy at WHO EMRO for administrative support.
Conflict of interest: The authors certify that they have no affiliations with or involvement in any organization, or entity with any financial gains or interest, or nonfinancial interests in the subject matter or materials discussed in this study. The authors certify that the development of the study did not involve financial or professional benefit. The authors certify that the study was developed in coordination and collaboration with staff from WHO and the Ministry of Public Health and Population office in Hadhramaut, who were involved in the response to COVID-19.
Funding: This study was part of project No. SGS08/6 that received technical and financial support from WHO Eastern Mediterranean Region/Department of Science, Information and Dissemination/Evidence and Data to Policy Program. This project was an output of the WHO/EMRO initiative of the Regional Network of Institutions for Evidence and Data to Policy.
References
- Population projections (2005–2025). Sana’a: Central Statistical Organisation (http://www.cso-yemen.com/content.php?lng=arabic&id=553, accessed 14 December 2022).
- Population of Hadramout Valley by district 2021. Ministry of Public Health and Population, Hadhramaut Valley and Desert Office (unpublished report).
- Yemen COVID-19 treatment centers (isolation units) operational capacity assessment tool. World Health Organization Regional Office for the Eastern Mediterranean; 2020 (unpublished report).
- Bin-Ghouth A. Site visit to Syoun Isolation Center in Hadramout on Wednesday 12 August 2020. World Health Organization Regional Office for the Eastern Mediterranean; 2020 (unpublished report).
- Bin-Ghouth A. Site visit to Al-Qaten Isolation Center in Hadramout on Thursday 13 August 2020. World Health Organization Regional Office for the Eastern Mediterranean; 2020 (unpublished report).
- Borah R, Brown AW, Capers PL, Kaiser KA. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. BMJ Open. 2017;7(2):e012545. https://doi.org/10.1136/bmjopen-2016- 012545
- Neil-Sztramko SE, Belita E, Traynor RL, Hagerman L, Dobbins M. Methods to support evidence-informed decision-making in the midst of COVID-19: creation and evolution of a rapid review service from the National Collaborating Centre for Methods and Tools. BMC Med Res Methodol. 2021 Oct 27;21(1):231. https://doi.org/10.1186/s12874-021-01436-1 PMID: 3470667
- Hamel C, Michaud A, Thuku M, Skidmore B, Stevens A, Nussbaumer-Streit B, et al. Defining rapid reviews: a systematic scoping review and thematic analysis of definitions and defining characteristics of rapid reviews. J Clin Epidemiol. 2020 Jan;129:74–85. https://doi.org/10.1016/j.jclinepi.2020.09.041 PMID:33038541
- Bastani P, Bahmaei J, Kharazinejad E, Samadbeik M, Liang Z, Schneide CH. How COVID-19 affects the use of evidence informed policymaking among iranian health policymakers and managers. Arch Public Health. 2022 Jan 5;80(1):16. https://doi.org/10.1186/s13690-021-00757-3 PMID: 34983653
- Vickery J, Atkinson P, Lin L, Rubin O, Upshur R, Yeoh E-K, et al. Challenges to evidence-informed decision-making in the context of pandemics: qualitative study of COVID-19 policy advisor perspectives. BMJ Global Health. 2022 Apr;7(4):e008268. https://doi.org/10.1136/bmjgh-2021-008268 PMID:35450862
- Cavallo JJ, Donoho DA, Forman HP. Hospital capacity and operations in the coronavirus disease 2019 (COVID-19) pandemic—planning for the nth patient. JAMA Health Forum. 2020 Mar 2;1(3):e200345. https://doi.org/10.1001/jamahealthforum.2020.0345 PMID:36218595
- Alqahtani F , Khan A, Alowais J, Alaama T, Jokhdar H. Bed surge capacity in Saudi hospitals during the COVID-19 pandemic. Disaster Med Public Health Prep. 2021 Apr 19;1–7. https://doi.org/10.1017/dmp.2021.117 PMID:33866983
- Douin DJ, Ward MJ, Lindsell CJ, Howell MP, Hough CL, Exline MC et al. ICU bed utilization during the coronavirus disease 2019 pandemic in a multistate analysis—March to June 2020. Crit Care Explor. 2021 Mar 12;3(3):e0361 https://doi.org/10.1097/CCE.0000000000000361 PMID: 3378643
- Verhagen MD, Brazel DM, Dowd JB, Kashnitsky I, Mills MC. Forecasting spatial, socioeconomic and demographic variation in COVID-19 health care demand in England and Wales. BMC Med. 2020;18:Article number 203 (2020). https://doi.org/10.1186/s12916-020-01646-2
- Sardesai I, Grover J, Garg M, et al. Short term home oxygen therapy for COVID-19 patients: the COVID-HOT algorithm. J Family Med Prim Care. 2020 Jul 30;9(7):3209–19. https://doi.org/10.4103/jfmpc.jfmpc_1044_20 PMID:33102272
- Hardinge M, Annandale J, Bourne S, Cooper B, Evans A, Freeman D, et al. British Thoracic Society guidelines for home oxygen use in adults. Thorax. 2015;70:i1–43. http://dx.doi.org/10.1136/thoraxjnl-2015-206865
- Talabis S, Babierra DA, Buhat CAH, Lutero DS, Quindala 3rd KM, Rabajante JF. Local government responses for COVID-19 management in the Philippines. BMC Public Health. 2021 Sep;21(1):1711. https://doi.org/10.1186/s12889-021-11746-0 PMID:34544423
Lessons learned from an academic institution for improving COVID-19 vaccine uptake in Saudi Arabia
Duaa Alammari1,2, Hanan Al-Kadri1,2,3, Mansour Al-Qurashi2,4,5, Majid Alshamrani2,6,7, Fayssal Farahat1,2,8, Aiman Altamimi9, Anmar Najjar4
1College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia (Correspondence: D. Alammari:
Abstract
Background: COVID-19 vaccine acceptance and uptake are major public health challenges in Saudi Arabia.
Aims: To vaccinate all affiliates of King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS) within a limited time period using evidence-based strategies to address COVID-19 vaccine hesitancy.
Methods: A survey was distributed electronically to develop an evidence-informed vaccination plan to address hesitancy factors. Initial survey results from March 2021 showed that only 60% of affiliates had taken at least 1 COVID-19 vaccine dose. KSAU-HS designed a 6-month vaccination campaign to raise awareness and increase compliance. Barriers and hesitancy to vaccination were managed through mass media, social media, and reminders to achieve high vaccination rates by overcoming fear and misconceptions.
Results: The evidence-based planning resulted in a significantly high vaccination rate, with 99.7% of affiliates vaccinated by October 2021; one of the highest vaccination rates among public universities in Saudi Arabia.
Conclusion: The implementation of evidence-based campaigns through social media can help address prevailing public health concerns, as well as COVID-19.
Keywords: vaccination, COVID-19, public education, evidence-based, evidence-informed policy-making
Citation: Alammari D; Al-Kadri H; Al-Qurashi M; Alshamrani M; Farahat F; Altamimi A; et al. Lessons learned from an academic institution for improving COVID-19 vaccine uptake in Saudi Arabia. East Mediterr Health J. 2023;29(5):xxx-xxx https://doi.org/10.26719/emhj.23.034
Received: 18/07/22; accepted: 08/12/22
Copyright: © Authors; licensee World Health Organization. EMHJ is an open access journal. All papers published in EMHJ are available under the Creative Commons Attribution Non-Commercial ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo).
Introduction
COVID-19 has had a profound impact on public health locally and globally. A report by the Saudi Ministry of Health on 9 February 2021 showed that there were 362 368 cases of COVID-19 and 6415 deaths in the country (1) (Figure 1).
King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS) is a governmental university that was founded on 6 March 2005 (2). In early 2020, KSAU-HS had 14 922 affiliates: 777 faculty members, 2979 administrative staff, and 11 166 students (2). Shortly after the first case of COVID-19 was diagnosed in Saudi Arabia, academic institutions were urged to take precautions to contain the spread of the disease. KSAU-HS reported 121 cases in April 2021, but no deaths were recorded at that time.
Vaccination during a pandemic is among the most effective strategies for containment of the situation (3, 4). Therefore, the Saudi Government and Ministry of Health developed a risk management plan to mitigate the impact of COVID-19 and reduce the rate of infection. Widespread vaccination was one of the recommended strategies, especially in high-risk facilities like universities. In mid-December 2020, Pfizer-BioNtech was the first vaccine against COVID-19 approved in Saudi Arabia, with 500 000 doses delivered (5). However, COVID-19 vaccine hesitancy contributed significantly to the slow vaccination coverage throughout Saudi Arabia.
KSAU-HS is under the umbrella of the Ministry of National Guard Health Affairs, which had extensive experience with infection control and prevention following the MERS-CoV outbreak at the facility in 2015. At that time, emergency preparedness and infection prevention practices were revised to contain the spread of the disease. As a result, plans for future crisis management were developed and made available at the facility to deal with similar situations (6). During the MERS-CoV outbreak, management was aided by involving all staff in sharing experiences and relevant knowledge, developing trust and teamwork, and promoting collective leadership. Recommendations were also made to improve crisis management strategies, coordinate media management, and take a proactive stance in advising and supporting staff (6).
In light of the precedent set by Ministry of National Guard Health Affairs, the KSAU-HS COVID-19 Crises Management Committee was formed in February 2020 with the goal of implementing health protection and disease prevention programmes and policies across all 3 campuses. The KSAU-HS COVID-19 Infection Prevention and Control Advisory Subcommittee was also formed. Shortly after that, all Saudi universities were instructed to establish committees to combat the spread of COVID-19. Vaccination planning was delegated to the Infection Prevention and Control Advisory Subcommittee, which met with stakeholders to discuss plan formulation and implementation. The preliminary vaccination plans included the establishment of vaccination centres on campuses to facilitate vaccination among university affiliates. The Subcommittee sought to collect accurate data on vaccination history and hesitancy among affiliates to propose an evidence-based vaccination plan that met the needs of the university and the urgency of the pandemic. To this end, the Subcommittee used evidence-based strategies to address vaccine hesitancy.
The aim was to vaccinate all KSAU-HS affiliates within a limited time period using evidence-based strategies to address COVID-19 vaccine hesitancy. All affiliates were required to be vaccinated with 2 doses by 1 August 2021, otherwise they would not be allowed on university premises as per the government regulations.
Methods
KSAU-HS developed a comprehensive plan to improve COVID-19 vaccine uptake that consisted of 3 phases: (1) situational analysis (baseline assessment); (2) stakeholders’ engagement (streamlining current and accurate data); and (3) community engagement through social and traditional media (awareness programme).
Phase 1: situational analysis (baseline assessment)
On 17 March 2021, the COVID-19 Infection Prevention and Control Advisory Subcommittee needed accurate data to inform future decisions. The first step was to create a standard form and distribute it to colleges and deanships to collect data about vaccination rates among affiliates, with weekly follow-up. The second step included working with the Saudi Ministry of Education to update vaccination data based on national sources (such as Tawaklna). Throughout the process, college deans and directors were actively involved and provided timely reports to the Subcommittee at KSAU-HS. As a result of baseline and situational assessment, current and accurate vaccination rates were available at KSAU-HS. This phase helped decision-makers understand the situation to support the development of plans, policies, and strategies for vaccination management.
Phase 2: stakeholders’ engagement (streamlining current and accurate data)
After the initial phase of data collection, the COVID-19 Infection Prevention and Control Advisory Subcommittee planned to gather more information about vaccine uptake rates and reasons for hesitancy, and an in-house survey was developed. On 23 March 2021, the first survey was distributed between March and May 2021 via email through the University Message Center with a link to the web survey. The survey included demographic information, vaccination data, and reasons for vaccine hesitancy. A total of 7167 (48%) participants completed the survey. Results were reported periodically to relevant decision-makers and COVID-19 committees. A live dashboard was created to provide timely updates to senior leadership (Figure 2). The dashboard displayed various data in graphs, including the reasons given by KSAU-HS affiliates for not vaccinating, such as safety concerns, appointment availability, efficacy, past COVID-19 infection, preference for a particular vaccine that was not available, and pregnancy or breastfeeding (Figure 2 and Table 1). The survey results were used to develop an evidence-based vaccination plan to achieve the target vaccination rates.
Drawing on the university’s past experience with the MERS-CoV outbreak, it was critical to reach out to different stakeholders, such as affiliates and management, to increase their involvement in the decision-making process and successfully control the spread of COVID-19 at the institution. This strategy yielded positive results in the past and fostered shared leadership and accountability (6).
Phase 3: community engagement through social and traditional media (awareness programme)
The COVID-19 Infection Prevention and Control Advisory Subcommittee developed a COVID-19 vaccination awareness programme utilizing the results of the survey, which used social media as one of the main distribution channels. The Saudi population is one of the largest Internet users globally, with nearly 96% of people using the Internet and 80% using social media in 2021 (7). A review of scientific evidence suggested the positive impact of using social media to raise awareness and change health behaviour by disseminating brief messages to the target population (3, 4). Social media is also a fast and efficient way to communicate with the general public and health professionals to implement infection prevention strategies and community engagement, especially during outbreaks (3, 4). Therefore, the Internet and social media were used extensively in the awareness programme (intervention) implemented by KSAU-HS (Tables 1 and 2).
Intervention
The COVID-19 committees launched a COVID-19 vaccine hesitancy and awareness programme aimed at highlighting the importance of vaccination to prevent and control the COVID-19 pandemic. The plan was to accomplish this goal by increasing vaccination rates and addressing reasons for vaccine hesitancy. The programme was developed in collaboration with the Department of University Relations and Media Affairs at KSAU-HS and relied on multiple sources, including survey results and national (Ministry of Health) and global (World Health Organization; WHO) data. The survey results were used to identify the target audiences and create targeted messages that addressed reasons for vaccine hesitancy (Table 1). It was critical to address vaccine-specific issues, risks, and benefits, and to highlight issues related to newly approved vaccines, and the establishment of active and accessible vaccination centres on university campuses, as these were among the reasons for vaccine hesitancy. The programme was launched on 6 June 2021. The content of the programme was designed to encourage individuals and social groups (university affiliate groups) through contextual influence. This was accomplished by disseminating key facts and sharing affiliates’ personal experiences. The Department of University Relations and Media Affairs was responsible for disseminating regular awareness messages and social media posts. This also included university-owned communication channels, such as social media, SMS, and Message Center. Initiatives also included educational media, announcements, workshops, seminars, and consultations. A list of the interventions is outlined in Table 2.
Results
Uptake of the first dose of COVID-19 vaccine increased significantly from 63% to 87% between May and July 2021 (Figure 3). The progress made by KSAU-HS was achieved prior to the COVID-19 vaccination mandate, which took effect on 1 August 2021. The mandatory national vaccination was a Saudi Government decision, and universities were instructed to adhere to the deadlines set by the Ministry of Education and Ministry of Health. Following the mandate, vaccination rates for the first and second doses increased to 99.7% and 99.3%, respectively in October (Figure 3). By the end of October 2021, KSAU-HS had the highest rate of COVID-19 vaccination among the 27 public universities in Saudi Arabia.
Key Challenges for implementing the vaccine uptake programme
The presence of outdated or miscommunication of data regarding university affiliates presented a challenge to collecting accurate data and determining situational analysis. A designated team had to manually filter and update the data to eliminate discrepancies.
Vaccine availability was limited between June and August 2021 because of high demand locally and globally, which restricted adherence to vaccination requirements and guidelines.
Survey distribution via email did not produce a high response rate when used as a stand-alone data collection method.
Conclusion
Evidence-based strategies can yield the desired results within a short period of time, especially for time-sensitive issues. Fear and uncertainty hampered COVID-19 vaccine acceptance among health science affiliates as well as the general public. Social media is a powerful tool for reaching a large audience in a timely and cost-effective manner, particularly in critical situations like pandemics. It also contributes to public awareness and encourages acceptance of new regulations and policies. One key factor to note is that the commitment of the Saudi Government to increasing the uptake of COVID-19 vaccine nationwide may have also contributed to the overall increase in vaccine coverage at KSAU-HS.
References
- Saudi Arabia Coronavirus disease (COVID-19) situation [website]. KAPSARC Data Portal: 2021 (https://datasource.kapsarc.org/explore/dataset/saudi-arabia-coronavirus-disease-covid-19-situation/information/?disjunctive.daily_cumulative&disjunctive.indicator&disjunctive.event&disjunctive.city_en&disjunctive.region_en, accessed 14 January 2023).
- About us [website]. King Saud bin Abdulaziz University for Health Sciences; 2021 (https://www.ksau-hs.edu.sa/English/aboutus/pages/about.aspx, accessed 14 January 2023).
- Al-Dmour H, Salman A, Abuhashesh M, Al-Dmour R. Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioral changes: integrated model. J Med Internet Res. 2020 Aug 19;22(8):e19996. https://doi.org/10.2196/19996 PMID:32750004
- Mohammed W, Alanzi T, Alanezi F, Alhodaib H, AlShammari M. Usage of social media for health awareness purposes among health educators and students in Saudi Arabia. Inform Med Unlocked. 2021;23:100553. https://doi.org/10.1016/j.imu.2021.100553
- Assiri A, Al-Tawfiq JA, Alkhalifa M, Al Duhailan H, Al Qahtani S, Dawas RA, et al. Launching COVID-19 vaccination in Saudi Arabia: lessons learned, and the way forward. Travel Med Infect Dis. 2021 Sep–Oct;43:102119. https://doi.org/10.1016/j.tmaid.2021.102119 PMID:34133965
- Al Knawy BA, Al-Kadri HM, Elbarbary M, Arabi Y, Balkhy HH, Clark A. Perceptions of postoutbreak management by management and healthcare workers of a Middle East respiratory syndrome outbreak in a tertiary care hospital: a qualitative study. BMJ Open. 2019 May 5;9(5):e017476. https://doi.org/10.1136/bmjopen-2017-017476 PMID:31061009
- Kemp S. Digital 2021: Saudi Arabia [website]. DATAREPORTAL; 2021 (https://datareportal.com/reports/digital-2021-saudi-arabia, accessed 14 January 2023).
Acknowledgements
We would like to acknowledge the contribution of Dr. Arash Rashidian, Director of Science, Information and Dissemination at WHO Regional Office for the Eastern Mediterranean (EMRO); Dr. Mehrnaz Kheirandish, Regional Advisor for Evidence and Data to Policy at EMRO; and Ms. Sumithra Krishnamurthy Reddiar, Technical Officer, Evidence and Data to Policy at EMRO for their technical advice and support through all stages of the development of the case study. We thank Ms. Hala Hamada, Programme Assistant, Evidence and Data to Policy at EMRO for administrative support. We acknowledge the Division of Science, Information and Dissemination/Evidence and Data to Policy Unit at EMRO for funding development of the case study.
Conflict of interest: We certify that: (1) we have no affiliations with or involvement in any organization or entity with any financial gains or interest, or nonfinancial interests in the subject matter or materials discussed in the case study; (2) the case study was developed in coordination and collaboration with staff from WHO, who were involved in the response to COVID-19; (3) given the involvement in the COVID-19 response, the principle of objectivity has led the development of the case study; and (4) the development of the case study did not involve financial or professional benefit and served to share our experiences.