Evidence map›Paper›PMID 36042447›Full record

ReviewBMC health services research2022

Maternal and child health data quality in health care facilities at the Cape Coast Metropolis, Ghana.

Obed Uwumbornyi Lasim, Edward Wilson Ansah, Daniel Apaak

Abstract readReview
In one paragraph

Review in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

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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

3 authors.

Obed Uwumbornyi LasimDepartment of Health, Physical Education & Recreation, Faculty of Science and Technology Education, College of Education Studies, University of Cape Coast, Cape Coast, Ghana. olasim@ucc.edu.gh.
Edward Wilson AnsahDepartment of Health, Physical Education & Recreation, Faculty of Science and Technology Education, College of Education Studies, University of Cape Coast, Cape Coast, Ghana.
Daniel ApaakDepartment of Health, Physical Education & Recreation, Faculty of Science and Technology Education, College of Education Studies, University of Cape Coast, Cape Coast, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe demand for quality maternal and child health (MCH) data is critical for tracking progress towards attainment of the Sustainable Development Goal 3. However, MCH cannot be adequately monitored where health data are inaccurate, incomplete, untimely, or inconsistent. Thus, this study assessed the level of MCH data quality.

methodA facility-based cross-sectional study design was adopted, including a review of MCH service records. It was a stand-alone study involving 13 healthcare facilities of different levels that provided MCH services in the Cape Coast Metropolis. Data quality was assessed using the dimensions of accuracy, timeliness, completeness, and consistency. Health facilities registers were counted, collated, and compared with data on aggregate monthly forms, and a web-based data collation and reporting system, District Health Information System (DHIS2). The aggregate monthly forms were also compared with data in the DHIS2. Eight MCH variables were selected to assess data accuracy and consistency and two monthly reports were used to assess completeness and timeliness. Percentages and verification factor were estimated in the SPSS version 22 package.

resultsData accuracy were recorded between the data sources: Registers and Forms, 102.1% (95% CI = 97.5%-106.7%); Registers and DHIS2, 102.4% (95% CI = 94.4%-110.4%); and Forms and DHIS2, 100.1% (95% CI = 96.4%-103.9%). Across the eight MCH variables, data were 93.2% (95% CI = 82.9%-103.5%) complete in Registers, 91.0% (95% CI = 79.5%-102.5%) in the Forms, and 94.9% (95% CI = 89.9%-99.9%) in DHIS2 database. On the average, 87.2% (95% CI = 80.5%-93.9%) of the facilities submitted their Monthly Midwife's Returns reports on time, and Monthly Vaccination Report was 94% (95% CI = 89.3%-97.3%). The overall average data consistency was 93% (95% CI = 84%-102%).

conclusionGiven the WHO standard for data quality, the level of MCH data quality in the health care facilities at the Cape Coast Metropolis, available through the DHIS2 is complete, reported on timely manner, consistent, and reflect accurately what exist in facility's source document. Although there is evidence that data quality is good, there is still room for improvement in the quality of the data.

Indexed as

Child HealthData AccuracyChildCross-Sectional StudiesDelivery of Health CareGhanaHealth FacilitiesHumansAccuracyCompletenessConsistencyData qualityFacilitiesMaternal and child healthTimelinessVariablesVerification factor

Identifiers

PMID36042447
PMCPMC9425804

What OpenQuestion holds

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LicenceCC BY
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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.