Evidence map›Paper›PMID 30481201›Full record

ArticlePloS one2018

Comparing individual-level clinical data from antenatal records with routine health information systems indicators for antenatal care in the West Bank: A cross-sectional study.

Mahima Venkateswaran, Kjersti Mørkrid, Khadija Abu Khader, Tamara Awwad, Ingrid K Friberg, Buthaina Ghanem, Taghreed Hijaz, J Frederik Frøen

Abstract readComparative Study
In one paragraph

Article in PloS one, 2018. 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
–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

10 citing papers in PubMed.

  1. Trial
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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.

Mahima VenkateswaranGlobal Health Cluster, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-1226-5685
Kjersti MørkridGlobal Health Cluster, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.
Khadija Abu KhaderPalestinian National Institute of Public Health, World Health Organization, Ramallah, Palestine.
Tamara AwwadPalestinian National Institute of Public Health, World Health Organization, Ramallah, Palestine.
Ingrid K FribergGlobal Health Cluster, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.
Buthaina GhanemPalestinian National Institute of Public Health, World Health Organization, Ramallah, Palestine.
Taghreed HijazMinistry of Health, Ramallah, Palestine.
J Frederik FrøenGlobal Health Cluster, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0001-9390-8509

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundIn most low- and middle-income settings, national aggregate health data is the most consistently available source for policy-making and international comparisons. In the West Bank, the paper-based health information system with manual aggregations is transitioning to an individual-level data eRegistry for maternal and child health at the point-of-care. The aim of this study was to explore beforehand how routine health information systems indicators for antenatal care can change with the introduction of the eRegistry.

methodsData were collected from clinical antenatal paper records of pregnancy enrollments for 2015 from 17 primary healthcare clinics, selected by probability sampling from five districts in the West Bank. We used the individual-level data from clinical records to generate routinely reported health systems indicators. We weighted the data to produce population-level estimates, and compared these indicators with aggregate routine health information systems reports.

resultsAntenatal anemia screening at 36 weeks was 20% according to the clinical records data, compared to 52% in the routine reports. The clinical records data showed considerably higher incidences of key maternal conditions compared to the routine reports, including fundal height discrepancy (20% vs. 0.01%); Rh-negative blood group (6.8% vs. 1.4%); anemia with hemoglobin<9.5 g/dl (6% vs. 0.6%); and malpresentation at term (1.3% vs. 0.03%). Only about a sixth of cases with these conditions were referred according to guidelines to designated referral clinics.

conclusionsDifferences between indicators from the clinical records data and routine health information systems reports can be attributed to human error, inconsistent denominators, and complexities of data processes. Key health systems indicators were prone to underestimations since their registration was dependent on referral of pregnant women. With a transition to individual-level data, as in the eRegistry under implementation, the public health authorities will be able to generate reliable health systems indicators reflective of the population's health status.

Indexed as

Health Information SystemsAdultAnemiaCross-Sectional StudiesFemaleHumansMiddle EastMothersPregnancyPregnancy ComplicationsPrenatal CareRegistriesYoung Adult

Identifiers

PMID30481201
PMCPMC6258527

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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.