Evidence map›Paper›PMID 23629935›Full record

ArticleThe American journal of tropical medicine and hygiene2013

Seeking care for pediatric diarrheal illness from traditional healers in Bamako, Mali.

Tamer H Farag, Karen L Kotloff, Myron M Levine, Uma Onwuchekwa, Anna Maria Van Eijk, Sanogo Doh, Samba O Sow

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Pooled it
  3. The Enterics for Global Health (EFGH)Open forum infectious diseases · 2024
    Article
  4. Article
  5. Article
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  7. Health and Demographic Surveillance Systems Within the Child Health and Mortality Prevention Surveillance Network.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    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

7 authors.

Tamer H Farag
Karen L Kotloff
Myron M Levine
Uma Onwuchekwa
Anna Maria Van Eijk
Sanogo Doh
Samba O Sow

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diarrhea is a leading cause of child mortality worldwide. Early recognition of symptoms and referral to medical treatment are essential. In 2007, we conducted a Healthcare Utilization and Attitudes Survey (HUAS) of 1,000 children randomly selected from a population census to define care-seeking patterns for diarrheal disease in Bamako, Mali, in preparation for the Global Enteric Multicenter Study (GEMS). We found that 57% of caretakers sought care for their child's diarrheal illness from traditional healers, and 27% of caretakers sought care from the government health center (GHC). Weighted logistic regression showed that seeking care from a traditional healer was associated with more severe reported diarrheal disease, like decreased urination (odds ratio [OR] = 3.35, 95% confidence interval [95% CI] = 1.19-9.41) and mucus or pus in stool (OR = 4.42, 95% CI = 1.35-14.51), along with other indicators of perceived susceptibility. A locally designed traditional healer referral system was, therefore, created that emphasized more severe disease. This system may serve as a model for health systems in West Africa.

Indexed as

Health Knowledge, Attitudes, PracticeAdultCaregiversChild, PreschoolDiarrhea, InfantileFemaleHealth SurveysHospitals, StateHumansInfantInfant, NewbornMaleMaliMedicine, TraditionalPatient Acceptance of Health CarePrevalence

Identifiers

PMID23629935
PMCPMC3748497

What OpenQuestion holds

Textmetadata
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.