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Abstract Background Infection prevention and control (IPC) in hospitals is key to safe patient care. There is currently no data regarding the implementation of IPC in hospitals in Indonesia. The aim of this study was to assess the existing IPC level in a nationwide survey, using the World Health Organization (WHO) IPC assessment framework tool (IPCAF), and to identify strengths, gaps, and challenges. Methods A cross-sectional study was conducted from July to November 2021. Of all general hospitals in Indonesia, 20% (N = 475) were selected using stratified random sampling based on class (A, B, C and D; class D with a maximum of 50 beds and class A with ≥ 250 beds) and region. The IPCAF was translated into Indonesian and tested in four hospitals. Questions were added regarding challenges in the implementation of IPC. Quantitative IPCAF scores are reported as median (minimum–maximum). IPC levels were calculated according to WHO tools. Results In total, 355 hospitals (74.7%) participated in this study. The overall median IPCAF score was 620.0 (535.0–687.5). The level of IPC was mostly assessed as advanced (56.9% of hospitals), followed by intermediate (35.8%), basic (7.0%) and inadequate (0.3%). In the eastern region of the country, the majority of hospitals scored intermediate level. Of the eight core components, the one with the highest score was IPC guidelines. Almost all hospitals had guidelines on the most important topics, including hand hygiene. Core components with the lowest score were surveillance of healthcare-associated infections (HAIs), education and training, and multimodal strategies. Although > 90% of hospitals indicated that surveillance of HAIs was performed, 57.2% reported no availability of adequate microbiology laboratory capacity to support HAIs surveillance. The most frequently reported challenges in the implementation of IPC were communication with the management of the hospitals, followed by the unavailability of antimicrobial susceptibility testing results and insufficient staffing of full-time IPC nurses. Conclusion The IPC level in the majority of Indonesian hospitals was assessed as advanced, but there was no even distribution over the country. The IPCAF in combination with interviews identified several priority areas for interventions to improve IPC in Indonesian hospitals.

Objectives: Infection prevention and control (IPC) in hospitals is key to safe patient care. Currently, no data are available regarding the implementation of IPC in hospitals in Indonesia. We assessed the existing IPC practices in a nationwide survey using the World Health Organization (WHO) IPC assessment framework tool (IPCAF) to identify strengths, weaknesses, and challenges. Methods: A cross-sectional study was conducted from July to November 2021. Of all general hospitals in Indonesia, 475 (20%) were selected using stratified random sampling based on class (ie, A, B, C, and D; A being the larger hospitals with ≥250 beds) and region. IPCAF was translated into Indonesian and was tested in 4 hospitals. Questions were added regarding challenges in the implementation of IPC. Introduction meetings were held online with all selected hospitals, after which the IPCAF was sent as an online questionnaire. Results: In total, 355 hospitals (74.7%) participated in this study. The overall median score of IPCAF was 632.5. The level of implementation of IPC was mostly advanced (56.9%), followed by intermediate (35.8%), basic (7.0%), and inadequate (0.3%). The core component with the highest scores was IPC guidelines; almost all hospitals had guidelines on the most important topics, including hand hygiene. Core components with the lowest scores were surveillance of healthcare-associated infections (HAIs), education and training, and multimodal strategies. Although >90% of hospitals indicated that surveillance of HAIs was performed, 57.2% reported no availability of adequate microbiology laboratory capacity to support HAI surveillance. The most reported challenges in the implementation of IPC were behavior change and lack of availability of antibiograms. Conclusions: The implementation of the IPC core components in most Indonesian hospitals was “advanced.” For surveillance of HAIs, the need for the availability and capability of the microbiology laboratory was revealed.

Corynebacterium diphtheriae (C. diphtheriae) is the causative agent of diphtheria. The main virulence factor of C. diphtheriae is diphtheria toxin, which is encoded by the tox gene and regulated by the dtxR gene. The tox and dtxR genes are used as genetic markers to identify bacteria causing diphtheria by PCR. Here, we present the whole-genome sequencing (WGS) data of 18 C. diphtheriae isolates from diphtheria outbreaks in different regions in Indonesia. We used these data to identify single nucleotide polymorphisms (SNPs) associated with the tox and dtxR genes to verify the accuracy of the PCR assay and performed molecular typing with a multilocus sequence typing (MLST) approach. The data can be used for further analyses, such as antimicrobial resistance and bacterial virulence factors.

Pertussis cases have been reported most frequently in developed countries, but they are predicted to be the most prevalent in developing countries. Indonesia, a developing country, routinely conducts case-based surveillance for pertussis. We reviewed the data on pertussis cases and close contacts based on clinical sample documents examined in the National Reference Laboratory for pertussis, Indonesia (2016–2020). Our objective was to analyze the laboratory and epidemiological aspects of pertussis cases and close contacts, particularly to evaluate the implementation of a 5-year case-based surveillance of pertussis in Indonesia. Data were collected from sample documents and annual laboratory reports between January 2016 and December 2020. We analyzed the proportion of pertussis cases and close contacts by geographic region, year, age, and sex. We used the χ2 test to correlate the laboratory and epidemiological data. In total, 274 clinical cases of pertussis and 491 close contacts were recorded in 15 provinces. The peak number of cases occurred in 2019, with a positivity rate (percentage of laboratory-confirmed cases) of 41.23% (47/114). Clinical cases were dominated by infants aged

Pertussis cases have been reported most frequently in developed countries, but they are predicted to be the most prevalent in developing countries. Indonesia, a developing country, routinely conducts case-based surveillance for pertussis. We reviewed the data on pertussis cases and close contacts based on clinical sample documents examined in the National Reference Laboratory for pertussis, Indonesia (2016-2020). Our objective was to analyze the laboratory and epidemiological aspects of pertussis cases and close contacts, particularly to evaluate the implementation of a 5-year case-based surveillance of pertussis in Indonesia. Data were collected from sample documents and annual laboratory reports between January 2016 and December 2020. We analyzed the proportion of pertussis cases and close contacts by geographic region, year, age, and sex. We used the χ2 test to correlate the laboratory and epidemiological data. In total, 274 clinical cases of pertussis and 491 close contacts were recorded in 15 provinces. The peak number of cases occurred in 2019, with a positivity rate (percentage of laboratory-confirmed cases) of 41.23% (47/114). Clinical cases were dominated by infants aged

The World Health Organization (WHO) has been implementing antimicrobial surveillance with a “One Health” approach, known as the Global Surveillance ESBL E. coli Tricycle Project. We describe the implementation of the Tricycle Project (pilot) in Indonesia, focusing on its results, challenges and recommendations. The samples were 116 patients with bloodstream infections caused by ESBL E. coli, 100 rectal swabs collected from pregnant women, 240 cecums of broiler, and 119 environmental samples, using the standardized method according to the guidelines. ESBL-producing E. coli was found in 40 (40%) of the 100 pregnant women, while the proportion of ESBL-producing E. coli was 57.7% among the total E. coli-induced bloodstream infections. ESBL-producing E. coli was isolated from 161 (67.1%) out of 240 broilers. On the other hand, the average concentration of E. coli in the water samples was 2.0 × 108 CFU/100 mL, and the ratio of ESBL-producing E. coli was 12.8% of total E. coli. Unfortunately, 56.7% of questionnaires for patients were incomplete. The Tricycle Project (pilot) identified that the proportion of ESBL-producing E. coli was very high in all types of samples, and several challenges and obstacles were encountered during the implementation of the study in Indonesia. The finding of this study have implication to health/the antimicrobial resistance (AMR) surveillance. We recommend continuing this project and extending this study to other provinces to determine the AMR burden as the baseline in planning AMR control strategies in Indonesia. We also recommend improving the protocol of this study to minimize obstacles in the field.