Evidence map›Paper›PMID 33195876›Full record

ArticleExposure and health2020

An Assessment of Inter-Observer Agreement in Water Source Classification and Sanitary Risk Observations.

Joseph Okotto-Okotto, Peggy Wanza, Emmah Kwoba, Weiyu Yu, Mawuli Dzodzomenyo, S M Thumbi, Diogo Gomes da Silva, Jim A Wright

Open access · hybridAbstract read
In one paragraph

Article in Exposure and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Contextual Determinants of General Household Hygiene Conditions in Rural Indonesia.International journal of environmental research and public health · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 4 countries.

Joseph Okotto-OkottoVictoria Institute for Research on Environment and Development (VIRED) International, off Nairobi Road, Rabour, P.O. Box 6423-40103, Kisumu, Kenya.ORCID 0000-0002-4656-8369
Peggy WanzaCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578-40100, Kisumu, Kenya.
Emmah KwobaCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578-40100, Kisumu, Kenya.
Weiyu YuSchool of Geography and Environmental Science, University of Southampton, Building 44, Highfield, Southampton, SO17 1BJ UK.
Mawuli DzodzomenyoGhana School of Public Health, University of Ghana, P.O. Box LG 13, Legon, Accra, Ghana.
S M ThumbiCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578-40100, Kisumu, Kenya.
Diogo Gomes da SilvaSchool of Environment and Technology, University of Brighton, Cockcroft Building, Lewes Road, Brighton, BN2 4GJ UK.
Jim A WrightSchool of Geography and Environmental Science, University of Southampton, Building 44, Highfield, Southampton, SO17 1BJ UK.ORCID 0000-0002-8842-2181
Kenya Medical Research Institute · KEUniversity of Southampton · GBUniversity of Brighton · GBUniversity of Ghana · GH

Funding

Medical Research Council MR/P024920/1
6 · The paper itself

Abstract

Sanitary risk inspection, an observation protocol for identifying contamination hazards around water sources, is promoted for managing rural water supply safety. However, it is unclear how far different observers consistently identify contamination hazards and consistently classify water source types using standard typologies. This study aimed to quantify inter-observer agreement in hazard identification and classification of rural water sources. Six observers separately visited 146 domestic water sources in Siaya County, Kenya, in wet and dry seasons. Each observer independently classified the source type and conducted a sanitary risk inspection using a standard protocol. Water source types assigned by an experienced observer were cross-tabulated against those of his colleagues, as were contamination hazards identified, and inter-observer agreement measures calculated. Agreement between hazards observed by the most experienced observer versus his colleagues was significant but low (intra-class correlation = 0.49), with inexperienced observers detecting fewer hazards. Inter-observer agreement in classifying water sources was strong (Cohen's kappa = 0.84). However, some source types were frequently misclassified, such as sources adapted to cope with water insecurity (e.g. tanks drawing on both piped and rainwater). Observers with limited training and experience thus struggle to consistently identify hazards using existing protocols, suggesting observation protocols require revision and their implementation should be supported by comprehensive training. Findings also indicate that field survey teams struggle to differentiate some water source types based on a standard water source classification, particularly sources adapted to cope with water insecurity. These findings demonstrate uncertainties underpinning international monitoring and analyses of safe water access via household surveys.

Indexed as

Inter-observer agreementRainwaterSanitary inspectionSustainable development goalsWater safety

Identifiers

PMID33195876
PMCPMC7661424
OpenAlexW2997207626

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.