Evidence map›Paper›PMID 39184854›Full record

ArticleHealth science reports2024

Compliance and determinants of infection prevention and control practices among sanitary workers in public hospitals, Eastern Ethiopia: A cross-sectional study.

Sina T Tolera, Nega Assefa, Abraham Geremew, Elka Toseva, Tesfaye Gobena

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Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sina T ToleraHaramaya University College of Health and Medical Sciences Harar City Ethiopia.ORCID 0000-0002-6489-3923
Nega AssefaHaramaya University College of Health and Medical Sciences Harar City Ethiopia.ORCID 0000-0003-0341-2329
Abraham GeremewHaramaya University College of Health and Medical Sciences Harar City Ethiopia.ORCID 0000-0001-5476-9673
Elka TosevaDepartment of Hygiene, Faculty of Public Health Medical University of Plovdiv Plovdiv City Bulgaria.ORCID 0000-0002-3825-9902
Tesfaye GobenaHaramaya University College of Health and Medical Sciences Harar City Ethiopia.ORCID 0000-0001-7555-5762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Best practice of infection prevention and control (IPC) is a hallmark for the patient care in health care settings, but it is a major problem in developing countries like Ethiopia where resources are limited. Ethiopia Federal Ministry of Health working to strengthen its IPC program, but still it there is no organized study conducted on assessment of performance gaps and implementation challenges of IPC practice faced by hospital staffs particularly among sanitary workers (SWs) at public hospitals inline to national and international guidelines. Aim: This study focuses on compliance and determinants of IPC among sanitary worker in public hospitals in eastern Ethiopia: A cross sectional study design. Method: A cross-sectional study was conducted among 809 SWs and eight IPC experts in public hospitals, eastern Ethiopia, from May to August 2023. A standard questionnaire was used to collect data. Face-to-face interview was conducted. Ten (10) question pursued to answer YES/NO were prepared. The cut point for categories of IPC practice was 1: Result: The compliance of IPC practice among SWs was 36.21% (32.72, 39.82%). The Multilevel ordinal logistic regression model shows that SWs who have good knowledge of IPC trend (AOR: 4.70, 95% CI: 2.11-10.46), SWs who are not addictive with alcohol (AOR: 2.35, 95% CI: 1.15,4.78) and chew Khat (AOR: 1.62, 95% CI: 1.06,2.46) and smoke cigarette (AOR: 3.15, 95% CI: 2.35-5.41), and SWs without job stress (AOR: 1.46, 95% CI: 0.86-2.48) were more compliant to IPC practice. Similarly, those who do not have workload (AOR: 2.74, 95% CI: 1.56-4.82), work <8 h/day (AOR: 1.46, 95% CI: 0.92-2.30), and those who have good social recognition in hospitals (AOR: 6.08, 95% CI: 4.24-8.71) were more likely to increase the compliance of IPC practice among SWs. The multilevel random-effect model revealed 93.71% of the variability of compliance of IPC practice explained by both individual and hospital level factors. Conclusion: The overall study found that inadequate IPC practice was reported among SWs as well as by IPC experts due to poor knowledge of IPC trend and individual behaviors and working environment. Thus, the study advised that hospitals have to develop and establish IPC implementation guidelines in order to solve the concerns among these groups; national IPC office should follow its implementation across health care settings particularly at public hospitals.

Indexed as

compliancecontroldeterminantshospitalinfection preventionsanitary workers

Identifiers

PMID39184854
PMCPMC11342045

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.