Evidence map›Paper›PMID 24187490›Full record

ArticlePatient preference and adherence2013

Factors affecting health seeking behavior for common childhood illnesses in Yemen.

Hana Hasan Webair, Abdulla Salim Bin-Gouth

Open access · goldAbstract read
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Article in Patient preference and adherence, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

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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

43 citing papers in PubMed, 83 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Hana Hasan WebairDepartment of Family Medicine, Hadhramout University of Science and Technology, Almukalla, Hadhramout, Yemen.
Abdulla Salim Bin-Gouth
Hadhramout University · YE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAppropriate medical care seeking could prevent a significant number of child deaths and complications due to ill health. This study aims to determine factors affecting health seeking behavior (HSB) for childhood illnesses, thereby improving child survival.

methodsA cross sectional study was carried out from January 11 to April 2, 2012. A total of 212 caretakers of children under the age of 5 years participated. Caretakers who visited the vaccination unit in the Shehair Health Center during the study period and had a child with a history of diarrhea, fever, cough, and/or difficulty of breathing during the last 14 days were included. The data were collected by interviewing caretakers and the answers were reported in pretested structured questionnaires.

resultsMedical care was sought for about half of the sick children (n=109, 51.42%). Seeking medical care was frequently initiated for illnesses that did not improve or worsened. The major reasons for not seeking medical care were "illness was mild" (n=40, 38.83%) and "illness is not for medical treatment" (n=32, 31.07%). The caretakers sought medical care significantly more when they had a higher level of school education (POR [prevalence odds ratio] 5.85, 95% CI [confidence interval]: 2.34-14.61), when the illness was perceived as severe (POR 5.39, 95% CI: 2.81-10.33), and when the child had difficulty of breathing (POR 2.93, 95% CI: 1.10-7.80).

conclusionFor the preventable childhood illnesses with existing interventions, appropriate HSB prevalence is low. Symptom type, caretakers' education, and perception of illness severity are the predictors of HSB. Educational improvement of the mothers, introduction of community based integrated management of childhood illness, and in-depth research are imperative to improve mothers' HSB.

Indexed as

childhood survivalcross sectionalmedical careShehair Health Center

Identifiers

PMID24187490
PMCPMC3810343
OpenAlexW2063029906

What OpenQuestion holds

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LicenceCC BY-NC
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.