Evidence map›Paper›PMID 32904221›Full record

ArticleData in brief2020

Survey-based data describing readiness to adopt an electronic pregnancy registration-monitoring system amongst health workers.

Sandra Hakiem Afrizal, Achmad Nizar Hidayanto, Putu Wuri Handayani, Kemal Nazaruddin Siregar, Besral, Meiwita Budiharsana, Tris Eryando, Nashrul Hakiem

Abstract read
In one paragraph

Article in Data in brief, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sandra Hakiem AfrizalFaculty of Health Science, Universitas Esa Unggul, Jakarta, Indonesia.
Achmad Nizar HidayantoFaculty of Computer Science, Universitas Indonesia, Depok, Indonesia.
Putu Wuri HandayaniFaculty of Computer Science, Universitas Indonesia, Depok, Indonesia.
Kemal Nazaruddin SiregarFaculty of Public Health, Universitas Indonesia, Depok, Indonesia.
BesralFaculty of Public Health, Universitas Indonesia, Depok, Indonesia.
Meiwita BudiharsanaFaculty of Public Health, Universitas Indonesia, Depok, Indonesia.
Tris EryandoFaculty of Public Health, Universitas Indonesia, Depok, Indonesia.
Nashrul HakiemFaculty of Science and Technology, Universitas Islam Negeri Syarif Hidayatullah, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic Health (eHealth) systems show a growing trend in developing countries to enhance their respective healthcare services. However, there is a lack of empirical study regarding readiness during preparation for eHealth implementation in Primary Health Care (PHC) units, specifically for antenatal care health workers who serve not only for personal care but also community services. The survey-based data applied in this research describes the assessment of the pre-implementation of the Electronic Pregnancy Registration and Monitoring System amongst health workers who involved in ANC services in primary health care (PHC) units of South Tangerang district, an urban area of Banten Province, Indonesia. Primary data was collected from 210 ANC health workers who work in 6 PHCs of the district. The data consists of socio-demographic factors of respondents such as age, education, years of experience etc., and captures individual responses to measure their readiness for eHealth adoption. The availability of this data will provide valuable information for researchers, healthcare organisations and government as the policy makers to prepare strategies with regard to readiness for eHealth adoption amongst health workers in PHCs.

Indexed as

Community health workerElectronic healthMidwifeMonitoring SystemPrimary health careReadiness

Identifiers

PMID32904221
PMCPMC7452415

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.