Evidence map›Paper›PMID 28155323›Full record

ArticleAfrican journal of primary health care & family medicine2016

Disaggregated data to improve child health outcomes.

Ann M E T Tshabalala, Myra Taylor

Abstract read
In one paragraph

Article in African journal of primary health care & family medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Field-testing of primary health-care indicators, India.Bulletin of the World Health Organization · 2020
    Article
  2. Article
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.

Ann M E T TshabalalaKwaZulu-Natal Department of Health, Amajuba Health District. tshabalalamamosa1@gmail.com.
Myra Taylor

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe District Health Information System was developed in South Africa to collect aggregated routine data from public health facilities. In Amajuba District, KwaZulu-Natal, ward-based data collection has been initiated to facilitate improved responsiveness to community health needs and improve health outcomes and patient satisfaction.

aimTo assess the application of the municipal ward-based health data in the decision-making process to improve child health outcomes.

settingThe study was conducted in 25 primary health care service sites in Amajuba.

methodsA cross-sectional mixed methods' approach was used. The study population comprised operational managers, professional nurses, ward-based outreach team leaders and supervisors. Quantitative data were collected using a semi-structured questionnaire and analysed using descriptive statistics. Qualitative data were collected using focus group discussions and analysed using thematic analysis.

resultsOf the 131 respondents, 83 (67.5%) provided targeted child interventions to a certain or a large extent to improve child health outcomes, but only 74 (57.4%) respondents reported using municipal ward-based health data to a certain or large extent in order to inform their decisions. This discrepancy indicates poor utilisation of local health information for decision making.

conclusionThe study showed that municipal ward-based health data are not fully utilised for making informed decisions to improve child health outcomes. It is imperative to inculcate a culture of evidence-informed decisions that leads to provision of targeted interventions in order to mitigate the challenge of scarcity of resources and to improve child health outcomes.

Indexed as

Child HealthDecision MakingHealth Services ResearchQuality ImprovementQuality of Health CareChildCross-Sectional StudiesDatabases, FactualData CollectionDelivery of Health CareEvidence-Based PracticeFocus GroupsHealth PersonnelHealth Services Needs and DemandHumansSouth Africa

Identifiers

PMID28155323
PMCPMC5153407

What OpenQuestion holds

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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.