Evidence map›Paper›PMID 26399915›Full record

ArticleBMC public health2015

Childhood Illness Prevalence and Health Seeking Behavior Patterns in Rural Tanzania.

Almamy M Kanté, Hialy R Gutierrez, Anna M Larsen, Elizabeth F Jackson, Stéphane Helleringer, Amon Exavery, Kassimu Tani, James F Phillips

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 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

8 authors at 3 institutions in 2 countries.

Almamy M KantéMailman School of Public Health, Columbia University, 60 Haven Avenue, New York, 10032, USA. mkante@ihi.or.tz.
Hialy R GutierrezMailman School of Public Health, Columbia University, 60 Haven Avenue, New York, 10032, USA. hrg2118@columbia.edu.
Anna M LarsenMailman School of Public Health, Columbia University, 60 Haven Avenue, New York, 10032, USA. aml2265@columbia.edu.
Elizabeth F JacksonMailman School of Public Health, Columbia University, 60 Haven Avenue, New York, 10032, USA. ej2217@columbia.edu.
Stéphane HelleringerBloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. sheller7@jhu.edu.
Amon ExaveryIfakara Health Institute, PO Box 78373, Dar es Salaam, Mikocheni, Tanzania. aexavery@ihi.or.tz.
Kassimu TaniIfakara Health Institute, PO Box 78373, Dar es Salaam, Mikocheni, Tanzania. ktani@ihi.or.tz.
James F PhillipsMailman School of Public Health, Columbia University, 60 Haven Avenue, New York, 10032, USA. jfp2113@columbia.edu.
Columbia University · USIfakara Health Institute · TZJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis paper identifies factors influencing differences in the prevalence of diarrhea, fever and acute respiratory infection (ARI), and health seeking behavior among caregivers of children under age five in rural Tanzania.

methodsUsing cross-sectional survey data collected in Kilombero, Ulanga, and Rufiji districts, the analysis included 1,643 caregivers who lived with 2,077 children under five years old. Logistic multivariate and multinomial regressions were used to analyze factors related to disease prevalence and to health seeking behavior.

resultsOne quarter of the children had experienced fever in the past two weeks, 12.0 % had diarrhea and 6.7 % experienced ARI. Children two years of age and older were less likely to experience morbidity than children under one year [ORfever = 0.77, 95 % CI 0.61-0.96; ORdiarrhea = 0.26, 95 % CI 0.18-0.37; ORARI = 0.60 95 % CI 0.41-0.89]. Children aged two and older were more likely than children under one to receive no care or to receive care at home, rather than to receive care at a facility [RRRdiarrhea = 3.47, 95 % CI 1.19-10.17 for "No care"]. Children living with an educated caregiver were less likely to receive no care or home care rather than care at a facility as compared to those who lived with an uneducated caregiver [RRRdiarrhea = 0.28, 95 % CI 1.10-0.79 for "No care"]. Children living in the wealthiest households were less likely to receive no care or home care for fever as compared to those who lived poorest households. Children living more than 1 km from health facility were more likely to receive no care or to receive home care for diarrhea rather than care at a facility as compared to those living less than 1 km from a facility [RRRdiarrhea = 3.50, 95 % CI 1.13-10.82 for "No care"]. Finally, caregivers who lived with more than one child under age five were more likely to provide no care or home care rather than to seek treatment at a facility as compared to those living with only one child under five.

conclusionsOur results suggest that child age, caregiver education attainment, and household wealth and location may be associated with childhood illness and care seeking behavior patterns. Interventions should be explored that target children and caregivers according to these factors, thereby better addressing barriers and optimizing health outcomes especially for children at risk of dying before the age of five.

Indexed as

Patient Acceptance of Health CareAdolescentAdultCaregiversChild Health ServicesChild, PreschoolCross-Sectional StudiesDiarrhea, InfantileFamily CharacteristicsFemaleFeverHealthcare DisparitiesHumansInfantMaleMiddle Aged

Identifiers

PMID26399915
PMCPMC4581421
OpenAlexW2138008886

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.