BACKGROUND: Colonization with antimicrobial-resistant bacteria increases the risk of drug-resistant infections. We identified risk factors potentially associated with human colonization with extended-spectrum cephalosporin-resistant Enterobacterales (ESCrE) in low-income urban and rural communities in Kenya. METHODS: Fecal specimens, demographic and socioeconomic data were collected cross-sectionally from clustered random samples of respondents in urban (Kibera, Nairobi County) and rural (Asembo, Siaya County) communities between January 2019 and March 2020. Presumptive ESCrE isolates were confirmed and tested for antibiotic susceptibility using the VITEK2 instrument. We used a path analytic model to identify potential risk factors for colonization with ESCrE. Only 1 participant was included per household to minimize household cluster effects. RESULTS: Stool samples from 1148 adults (aged ≥18 years) and 268 children (aged <5 years) were analyzed. The likelihood of colonization increased by 12% with increasing visits to hospitals and clinics. Furthermore, individuals who kept poultry were 57% more likely to be colonized with ESCrE than those who did not. Respondents' sex, age, use of improved toilet facilities, and residence in a rural or urban community were associated with healthcare contact patterns and/or poultry keeping and may indirectly affect ESCrE colonization. Prior antibiotic use was not significantly associated with ESCrE colonization in our analysis. CONCLUSIONS: The risk factors associated with ESCrE colonization in communities include healthcare- and community-related factors, indicating that efforts to control antimicrobial resistance in community settings must include community- and hospital-level interventions.

BACKGROUND: Low- and middle-income countries bear a disproportionate burden of antimicrobial resistance (AMR) but often lack adequate surveillance to inform mitigation efforts. Colonization can be a useful metric to understand AMR burden. We assessed the colonization prevalence of Enterobacterales with resistance to extended-spectrum cephalosporins, carbapenems, colistin, and methicillin-resistant Staphylococcus aureus among hospital and community dwellers. METHODS: Between April and October 2019, we conducted a period prevalence study in Dhaka, Bangladesh. We collected stool and nasal specimens from adults in 3 hospitals and from community dwellers within the hospitals' catchment area. Specimens were plated on selective agar plates. Isolates underwent identification and antibiotic susceptibility testing using Vitek 2. We performed descriptive analysis and determined population prevalence estimates accounting for clustering at the community level. RESULTS: The majority of both community and hospital participants were colonized with Enterobacterales with resistance to extended-spectrum cephalosporins (78%; 95% confidence interval [95% CI], 73-83; and 82%; 95% CI, 79-85, respectively). Thirty-seven percent (95% CI, 34-41) of hospitalized patients were colonized with carbapenems compared with 9% (95% CI, 6-13) of community individuals. Colistin colonization prevalence was 11% (95% CI, 8-14) in the community versus 7% (95% CI, 6-10) in the hospital. Methicillin-resistant Staphylococcus aureus colonization was similar in both community and hospital participants (22%; 95% CI, 19-26 vs 21% (95% CI, 18-24). CONCLUSIONS: The high burden of AMR colonization observed among hospital and community participants may increase the risk for developing AMR infections and facilitating spread of AMR in both the community and hospital.

Understanding the burden of antibiotic resistance globally is hindered by incomplete surveillance, particularly across low-resource settings. The Antibiotic Resistance in Communities and Hospitals (ARCH) consortium encompasses sites across 6 resource-limited settings and is intended to address these gaps. Supported by the Centers for Disease Control and Prevention, the ARCH studies seek to characterize the burden of antibiotic resistance by examining colonization prevalence at the community and hospital level and to evaluate for risk factors that are associated with colonization. In this supplement, 7 articles present results from these initial studies. Though future studies identifying and evaluating prevention strategies will be critical to mitigate spreading resistance and its impact on populations, the findings from these studies address important questions surrounding the epidemiology of antibiotic resistance.

The World Health Organization advocates a multimodal approach to improving infection prevention and control (IPC) measures, which Kenya adopted in response to the COVID-19 pandemic. The Kenya Ministry of Health formed a national IPC committee for policy and technical leadership, coordination, communication, and training. During March-November 2020, a total of 69,892 of 121,500 (57.5%) healthcare workers were trained on IPC. Facility readiness assessments were conducted in 777 health facilities using a standard tool assessing 16 domains. A mean score was calculated for each domain across all facilities. Only 3 domains met the minimum threshold of 80%. The Ministry of Health maintained a national list of all laboratory-confirmed SARS-CoV-2 infections. By December 2020, a total of 3,039 healthcare workers were confirmed to be SARS-CoV-2-positive, an infection rate (56/100,000 workers) 12 times higher than in the general population. Facility assessments and healthcare workers' infection data provided information to guide IPC improvements.

We estimated the prevalence of extended-spectrum cephalosporin-resistant Enterobacterales (ESCrE), carbapenem-resistant Enterobacterales (CRE), and methicillin-resistant Staphylococcus aureus (MRSA) in communities and hospitals in Kenya to identify human colonization with multidrug-resistant bacteria. Nasal and fecal specimen were collected from inpatients and community residents in Nairobi (urban) and Siaya (rural) counties. Swabs were plated on chromogenic agar to presumptively identify ESCrE, CRE and MRSA isolates. Confirmatory identification and antibiotic susceptibility testing were done using the VITEK®2 instrument. A total of 1999 community residents and 1023 inpatients were enrolled between January 2019 and March 2020. ESCrE colonization was higher in urban than rural communities (52 vs. 45%; P = 0.013) and in urban than rural hospitals (70 vs. 63%; P = 0.032). Overall, ESCrE colonization was ~ 18% higher in hospitals than in corresponding communities. CRE colonization was higher in hospital than community settings (rural: 7 vs. 1%; urban: 17 vs. 1%; with non-overlapping 95% confidence intervals), while MRSA was rarely detected (≤ 3% overall). Human colonization with ESCrE and CRE was common, particularly in hospitals and urban settings. MRSA colonization was uncommon. Evaluation of risk factors and genetic mechanisms of resistance can guide prevention and control efforts tailored to different environments.

Antimicrobial stewardship encourages appropriate antibiotic use, the specific activities of which will vary by institutional context. We investigated regional variation in antibiotic use by surveying three regional public hospitals in Kenya. Hospital-level data for antimicrobial stewardship activities, infection prevention and control, and laboratory diagnostic capacities were collected from hospital administrators, heads of infection prevention and control units, and laboratory directors, respectively. Patient-level antibiotic use data were abstracted from medical records using a modified World Health Organization point-prevalence survey form. Altogether, 1,071 consenting patients were surveyed at Kenyatta National Hospital (KNH, n = 579), Coast Provincial General Hospital (CPGH, n = 229) and Moi Teaching and Referral Hospital (MTRH, n = 263). The majority (67%, 722/1071) were ≥18 years and 53% (563/1071) were female. Forty-six percent (46%, 489/1071) were receiving at least one antibiotic. Antibiotic use was higher among children <5 years (70%, 150/224) than among other age groups (40%, 339/847; P < 0.001). Critical care (82%, 14/17 patients) and pediatric wards (59%, 155/265) had the highest proportion of antibiotic users. Amoxicillin/clavulanate was the most frequently used antibiotic at KNH (17%, 64/383 antibiotic doses), and ceftriaxone was most used at CPGH (29%, 55/189) and MTRH (31%, 57/184). Forty-three percent (326/756) of all antibiotic prescriptions had at least one missed dose recorded. Forty-six percent (204/489) of patients on antibiotics had a specific infectious disease diagnosis, of which 18% (37/204) had soft-tissue infections, 17% (35/204) had clinical sepsis, 15% (31/204) had pneumonia, 13% (27/204) had central nervous system infections and 10% (20/204) had obstetric or gynecological infections. Of these, 27% (56/204) had bacterial culture tests ordered, with culture results available for 68% (38/56) of tests. Missed antibiotic doses, low use of specimen cultures to guide therapy, high rates of antibiotic use, particularly in the pediatric and surgical population, and preference for broad-spectrum antibiotics suggest antibiotic use in these tertiary care hospitals is not optimal. Antimicrobial stewardship programs, policies, and guidelines should be tailored to address these areas.

BACKGROUND: Hand hygiene (HH) is central in prevention of health care-associated infections. In low resource settings, models to improve HH compliance are needed. We implemented a continuous quality improvement (CQI) program targeting HH in two hospitals in Kenya. OBJECTIVE: To determine the impact of the HH CQI program and identify factors associated with HH compliance between 2018 and 2019. METHODS: A CQI project targeting the improvement of hand hygiene was implemented, including training and mentorship. Data were collected monthly between April 2018 and December 2019 in Thika and Kitale Hospitals. Healthcare workers trained on Infection Prevention and Control (IPC) observed and recorded HH opportunities and subsequent compliance among staff, including nurses, clinicians, and auxiliary staff, using the World Health Organization's "My Five Moments for Hand Hygiene" tool. Covariates were explored using mixed-effects logistic regression with random department-level intercepts. RESULTS: Hand hygiene compliance improved from 27% at baseline to 44% after 21 months. Indication/moment for HH was significantly associated with compliance. Adjusting for site, professional category and department, compliance was higher after a moment of body fluid exposure (aOR 1.43, 95% CI 1.17-1.74, p value < 0.001) and lower before an aseptic procedure (aOR 0.12, 95% CI 0.08-0.17, p value < 0.001) compared to after patient contact. Wearing of gloves often replaced proper HH in surgical departments, which although not significant, had lower compliance compared to departments for internal medicine (aOR 0.93, 95% CI 0.85-1.02). Adjusted HH compliance from all quarters improved from baseline, but comparing each quarter to the previous quarter, the improvement fluctuated over time. CONCLUSION: Training and mentorship on the importance of HH for all moments is needed to improve overall HH compliance. CQI with regular monitoring and feedback of HH performance can be an effective approach in improving HH compliance in public hospitals in Kenya.

BACKGROUND: Antimicrobial resistance is a global health emergency. Persons colonized with multidrug-resistant organisms (MDROs) are at risk for developing subsequent multidrug-resistant infections, as colonization represents an important precursor to invasive infection. Despite reports documenting the worldwide dissemination of MDROs, fundamental questions remain regarding the burden of resistance, metrics to measure prevalence, and determinants of spread. We describe a multi-site colonization survey protocol that aims to quantify the population-based prevalence and associated risk factors for colonization with high-threat MDROs among community dwelling participants and patients admitted to hospitals within a defined population-catchment area. METHODS: Researchers in five countries (Bangladesh, Chile, Guatemala, Kenya, and India) will conduct a cross-sectional, population-based prevalence survey consisting of a risk factor questionnaire and collection of specimens to evaluate colonization with three high-threat MDROs: extended-spectrum cephalosporin-resistant Enterobacteriaceae (ESCrE), carbapenem-resistant Enterobacteriaceae (CRE), and methicillin-resistant Staphylococcus aureus (MRSA). Healthy adults residing in a household within the sampling area will be enrolled in addition to eligible hospitalized adults. Colonizing isolates of these MDROs will be compared by multilocus sequence typing (MLST) to routinely collected invasive clinical isolates, where available, to determine potential pathogenicity. A colonizing MDRO isolate will be categorized as potentially pathogenic if the MLST pattern of the colonizing isolate matches the MLST pattern of an invasive clinical isolate. The outcomes of this study will be estimates of the population-based prevalence of colonization with ESCrE, CRE, and MRSA; determination of the proportion of colonizing ESCrE, CRE, and MRSA with pathogenic characteristics based on MLST; identification of factors independently associated with ESCrE, CRE, and MRSA colonization; and creation an archive of ESCrE, CRE, and MRSA isolates for future study. DISCUSSION: This is the first study to use a common protocol to evaluate population-based prevalence and risk factors associated with MDRO colonization among community-dwelling and hospitalized adults in multiple countries with diverse epidemiological conditions, including low- and middle-income settings. The results will be used to better describe the global epidemiology of MDROs and guide the development of mitigation strategies in both community and healthcare settings. These standardized baseline surveys can also inform future studies seeking to further characterize MDRO epidemiology globally.

Multidrug-resistant non-typhoidal Salmonella (NTS) infection has emerged as a prominent cause of invasive infections in Africa. We investigated the prevalence of ceftriaxone-resistant invasive NTS infections, conducted exploratory analysis of risk factors for resistance, and described antimicrobial use in western Kenya. We conducted a secondary analysis of existing laboratory, epidemiology, and clinical data from three independent projects, a malaria vaccine trial, a central nervous system (CNS) study, and the International Emerging Infections Program morbidity surveillance (surveillance program) during 2009-2014. We calculated odds ratios (OR) with 95% confidence intervals (CI) for ceftriaxone-resistant NTS infections compared with ceftriaxone-susceptible infections. We surveyed hospitals, pharmacies, and animal drug retailers about the availability and use of antimicrobials. In total, 286 invasive NTS infections were identified in the three projects; 43 NTS isolates were ceftriaxone-resistant. The absolute prevalence of ceftriaxone resistance varied among these methodologically diverse projects, with 18% (16/90) of isolates resistant to ceftriaxone in the vaccine trial, 89% (16/18) in the CNS study, and 6% (11/178) in the surveillance program. Invasive ceftriaxone-resistant infections increased over time. Most ceftriaxone-resistant isolates were co-resistant to multiple other antimicrobials. Having an HIV-positive mother (OR = 3.7; CI = 1.2-11.4) and taking trimethoprim-sulfamethoxazole for the current illness (OR = 9.6, CI = 1.2-78.9) were significantly associated with acquiring ceftriaxone-resistant invasive NTS infection. Ceftriaxone and other antibiotics were widely prescribed; multiple issues related to prescription practices and misuse were identified. In summary, ceftriaxone-resistant invasive NTS infection is increasing and limiting treatment options for serious infections. Efforts are ongoing to address the urgent need for improved microbiologic diagnostic capacity and an antimicrobial surveillance system in Kenya.

Infection prevention and control (IPC) in health care facilities is essential to protecting patients, visitors, and health care personnel from the spread of infectious diseases, including Ebola virus disease (Ebola). Patients with suspected Ebola are typically referred to specialized Ebola treatment units (ETUs), which have strict isolation and IPC protocols, for testing and treatment (1,2). However, in settings where contact tracing is inadequate, Ebola patients might first seek care at general health care facilities, which often have insufficient IPC capacity (3-6). Before 2014-2016, most Ebola outbreaks occurred in rural or nonurban communities, and the role of health care facilities as amplification points, while recognized, was limited (7,8). In contrast to these earlier outbreaks, the 2014-2016 West Africa Ebola outbreak occurred in densely populated urban areas where access to health care facilities was better, but contact tracing was generally inadequate (8). Patients with unrecognized Ebola who sought care at health care facilities with inadequate IPC initiated multiple chains of transmission, which amplified the epidemic to an extent not seen in previous Ebola outbreaks (3-5,7). Implementation of robust IPC practices in general health care facilities was critical to ending health care-associated transmission (8). In August 2018, when an Ebola outbreak was recognized in the Democratic Republic of the Congo (DRC), neighboring countries began preparing for possible introduction of Ebola, with a focus on IPC. Baseline IPC assessments conducted in frontline health care facilities in high-risk districts in Uganda found IPC gaps in screening, isolation, and notification. Based on findings, additional funds were provided for IPC, a training curriculum was developed, and other corrective actions were taken. Ebola preparedness efforts should include activities to ensure that frontline health care facilities have the IPC capacity to rapidly identify suspected Ebola cases and refer such patients for treatment to protect patients, staff members, and visitors.

Most nontyphoidal Salmonella (NTS) illnesses in the United States are thought to be foodborne. However, transmission routes likely vary among the different serotypes. We developed a relative ranking of NTS serotypes according to the strength of their association with foodborne transmission. We used Laboratory-based Enteric Disease Surveillance data to estimate the proportion of infections for each Salmonella serotype reported from 1998 to 2015 and Foodborne Disease Outbreak Surveillance System data to calculate the proportion of foodborne outbreak-associated Salmonella illnesses caused by each serotype. We calculated the ratios of these proportions to create a foodborne relatedness (FBR) measure for each serotype. Of the top 20 serotypes, Saintpaul (2.14), Heidelberg (1.61), and Berta (1.48) had the highest FBR measures; Mississippi (0.01), Bareilly (0.13), and Paratyphi B variant L(+) tartrate(+) (0.20) had the lowest. The FBRs for the three most prevalent serotypes were 1.22 for Enteritidis, 0.77 for Typhimurium, and 1.16 for Newport. This method provides a quantitative approach to estimating the relative differences in the likelihood that an illness caused by a particular serotype was transmitted by food, which may aid in tailoring strategies to prevent Salmonella illnesses and guide future research into serotype-specific source attribution.

Measles virus is highly infectious and can spread rapidly through healthcare settings where vaccine coverage is low and isolation precautions are suboptimal. We describe healthcare-associated measles transmission during the large 2015-2016 measles outbreak in Mongolia, describe observed infection prevention gaps, and outline practical strategies to prevent healthcare-associated measles transmission.

Measles is a highly transmissible infectious disease that causes serious illness and death worldwide. Efforts to eliminate measles through achieving high immunization coverage, well-performing surveillance systems, and rapid and effective outbreak response mechanisms while strategically engaging and strengthening health systems have been termed a diagonal approach. In March 2015, a large nationwide measles epidemic occurred in Mongolia, 1 year after verification of measles elimination in this country. A multidisciplinary team conducted an outbreak investigation that included a broad health system assessment, organized around the Global Health Security Agenda framework of Prevent-Detect-Respond, to provide recommendations for evidence-based interventions to interrupt the epidemic and strengthen the overall health system to prevent future outbreaks of measles and other epidemic-prone infectious threats. This investigation demonstrated the value of evaluating elements of the broader health system in investigating measles outbreaks and the need for using a diagonal approach to achieving sustainable measles elimination.