Evidence map›Paper›PMID 31596861›Full record

ArticlePloS one2019

Evaluating the foundations that help avert antimicrobial resistance: Performance of essential water sanitation and hygiene functions in hospitals and requirements for action in Kenya.

Michuki Maina, Olga Tosas-Auguet, Jacob McKnight, Mathias Zosi, Grace Kimemia, Paul Mwaniki, Constance Schultsz, Mike English

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Antibiotic use in Kenyan public hospitals: Prevalence, appropriateness and link to guideline availability.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Michuki MainaHealth Services Research Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID 0000-0001-6874-8929
Olga Tosas-AuguetNuffield Department of Medicine, University of Oxford-Oxford, United Kingdom.
Jacob McKnightNuffield Department of Medicine, University of Oxford-Oxford, United Kingdom.
Mathias ZosiHealth Services Research Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Grace KimemiaHealth Services Research Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Paul MwanikiHealth Services Research Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID 0000-0003-0359-8426
Constance SchultszAmsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.
Mike EnglishHealth Services Research Group, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID 0000-0002-7427-0826

Funding

EPA EP-C-15-003Wellcome Trust 107769Wellcome Trust 207522Wellcome Trust 207522/Z/17/Z
6 · The paper itself

Abstract

backgroundWater Sanitation and Hygiene (WASH) in healthcare facilities is critical in the provision of safe and quality care. Poor WASH increases hospital-associated infections and contributes to the rise of antimicrobial resistance (AMR). It is therefore essential for governments and hospital managers to know the state of WASH in these facilities to set priorities and allocate resources.

methodsUsing a recently developed survey tool and scoring approach, we assessed WASH across four domains in 14 public hospitals in Kenya (65 indicators) with specific assessments of individual wards (34 indicators). Aggregate scores were generated for whole facilities and individual wards and used to illustrate performance variation and link findings to specific levels of health system accountability. To help interpret and contextualise these scores, we used data from key informant interviews with hospital managers and health workers.

resultsAggregate hospital performance ranged between 47 and 71% with five of the 14 hospitals scoring below 60%. A total of 116 wards were assessed within these facilities. Linked to specific domains, ward scores varied within and across hospitals and ranged between 20% and 80%. At ward level, some critical indicators, which affect AMR like proper waste segregation and hand hygiene compliance activities had pooled aggregate scores of 45 and 35% respectively. From 31 interviews conducted, the main themes that explained this heterogenous performance across facilities and wards included differences in the built environment, resource availability, leadership and the degree to which local managers used innovative approaches to cope with shortages.

conclusionSignificant differences and challenges exist in the state of WASH within and across hospitals. Whereas the senior hospital management can make some improvements, input and support from the national and regional governments are essential to improve WASH as a basic foundation for averting nosocomial infections and the spread of AMR as part of safe, quality hospital care in Kenya.

Indexed as

Drug Resistance, BacterialHospitalsHygieneSanitationWaterAttitude of Health PersonnelHealth FacilitiesHealth Facility SizeHumansKenyaLeadershipPatients' RoomsWater

Identifiers

PMID31596861
PMCPMC6785173

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.