Evidence map›Paper›PMID 40261857›Full record

ArticlePLOS global public health2025

Care-seeking for diarrheal illness: A systematic review and meta-analysis.

Kirsten E Wiens, Marissa H Miller, Daniel J Costello, Ashlynn P Solomon, Skye M Hilbert, Andrea G Shipper, Elizabeth C Lee, Andrew S Azman

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Care seeking for diarrheal illness: a systematic review and meta-analysis.medRxiv : the preprint server for health sciences · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kirsten E WiensDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, United States of America.ORCID https://orcid.org/0000-0003-4093-4054
Marissa H MillerDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, United States of America.ORCID https://orcid.org/0009-0008-4300-3830
Daniel J CostelloDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, United States of America.ORCID https://orcid.org/0009-0008-6393-0973
Ashlynn P SolomonDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, United States of America.
Skye M HilbertDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, United States of America.
Andrea G ShipperCharles Library, Temple University, Philadelphia, United States of America.ORCID https://orcid.org/0000-0003-2819-4276
Elizabeth C LeeDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States of America.
Andrew S AzmanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States of America.ORCID https://orcid.org/0000-0001-8662-9077

Funding

The role of unobserved cholera: implications for prevention and controlK22AI168389 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI WIENS, KIRSTEN E · 2023 to 2024
$270k
NIAID NIH HHS K22 AI168389
6 · The paper itself

Abstract

Monitoring and treating diarrheal illness often relies on individuals seeking care at hospitals or clinics. Cases that seek care through pharmacies and community health workers (CHW) are frequently excluded from disease burden estimates, which are used to allocate mitigation resources. Studies on care-seeking behavior can help identify these gaps but typically focus on children under five, even though diarrheal diseases like cholera and Enterotoxigenic E. coli affect all age groups. This study aimed to estimate the proportion of individuals seeking care for themselves or their children with diarrhea, considering different age groups, case definitions, and study settings. We conducted a systematic review of population-based primary research studies published during 2000-2024 that examined care-seeking behavior for diarrhea. We included 166 studies from 62 countries. Hospitals and clinics were the most common source of care sought outside the home, with CHW and health posts rarely reported. Using a random-effects meta-analysis, we found substantial heterogeneity in care-seeking between studies from low- and middle-income countries (I2 = 99.3) and estimated that the proportion of diarrhea cases seeking care at a hospital or clinic was 32.8% on average (95% Confidence Interval (CI) 28.1% to 37.9%; prediction interval 3.3% to 87.5%). Although there were trends toward higher care-seeking for children compared to adults, substantial variation existed between studies, and the differences were not significant. We estimated that the adjusted odds of seeking care at a hospital or clinic were significantly higher for severe diarrhea and cholera compared to general diarrhea (Odds Ratio 3.43; 95% CI 1.71 to 6.88). Our findings confirm that passive surveillance through hospitals and clinics may substantially undercount the number of people with diarrhea, particularly those with milder symptoms, although this proportion varied widely. Additionally, our findings underscore the importance of including care-seeking questions across all age groups in future studies, as we cannot assume lower care-seeking for adults across all settings. Our study was limited by fewer data on care-seeking from health posts, traditional healers, and CHW compared to hospitals and clinics, highlighting a need for further research on these sources of care.

Identifiers

PMID40261857
PMCPMC12013865

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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.