Evidence map›Paper›PMID 36609348›Full record

ArticleBMJ global health2023

Understanding maternity care providers' use of data in Southern Tanzania.

Regine Unkels, Fadhlun Alwy Al-Beity, Zamoyoni Julius, Elibariki Mkumbo, Andrea B Pembe, Claudia Hanson, Helle Molsted-Alvesson

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
11.0field-weighted citation impact, top 2% 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

10 citing papers in PubMed, 19 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

7 authors at 4 institutions in 3 countries.

Regine UnkelsDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden regine.unkels@ki.se.ORCID 0000-0001-6348-1620
Fadhlun Alwy Al-BeityDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-2416-6876
Zamoyoni JuliusDepartment of Obstetrics and Gynaecology, Aga Khan University, Dar es Salaam, United Republic of Tanzania.
Elibariki MkumboHealth Systems, Policy and Economic Evaluations, Ifakara Health Institute, Dar es Salaam, United Republic of Tanzania.
Andrea B PembeObstetrics/Gynaecology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Claudia HansonDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8066-7873
Helle Molsted-AlvessonDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEMuhimbili University of Health and Allied Sciences · TZAga Khan University · TZIfakara Health Institute · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth information management system data is collected for national planning and evaluation but is rarely used for healthcare improvements at subnational or facility-level in low-and-middle-income countries. Research suggests that perceived data quality and lack of feedback are contributing factors. We aimed to understand maternity care providers' perceptions of data and how they use it, with a view to co-design interventions to improve data quality and use.

methodsWe based our research on constructivist grounded theory. We conducted 14 in-depth interviews, two focus group discussions with maternity care providers and 48 hours of observations in maternity wards to understand maternity providers' interaction with data in two rural hospitals in Southern Tanzania. Constant comparative data analysis was applied to develop initial and focused codes, subcategories and categories were continuously validated through peer and member checks.

resultsMaternity care providers found routine health information data of little use to reconcile demands from managers, the community and their challenging working environment within their daily work. They thus added informal narrative documentation sources. They created alternative narratives through data of a maternity care where mothers and babies were safeguarded. The resulting documentation system, however, led to duplication and increased systemic complexity.

conclusionsCurrent health information systems may not meet all data demands of maternity care providers, or other healthcare workers. Policy makers and health information system specialists need to acknowledge different ways of data use beyond health service planning, with an emphasis on healthcare providers' data needs for clinical documentation.

Indexed as

Maternal Health ServicesFemaleFocus GroupsHumansMothersPregnancyQualitative ResearchTanzaniahealth services researchmaternal healthpublic health

Identifiers

PMID36609348
PMCPMC9827191
OpenAlexW4313641018

What OpenQuestion holds

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LicenceCC BY-NC
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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.