Evidence map›Paper›PMID 31392962›Full record

ArticleJMIR research protocols2019

eRegTime, Efficiency of Health Information Management Using an Electronic Registry for Maternal and Child Health: Protocol for a Time-Motion Study in a Cluster Randomized Trial.

Marie Hella Lindberg, Mahima Venkateswaran, Khadija Abu Khader, Tamara Awwad, Buthaina Ghanem, Taghreed Hijaz, Kjersti Mørkrid, J Frederik Frøen

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
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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 at 3 institutions in 2 countries.

Marie Hella Lindberg *Faculty of Health Sciences, UiT - the Arctic University of Norway, Tromsø, Norway.ORCID http://orcid.org/0000-0002-4777-9627
Mahima Venkateswaran *Global Health Cluster, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID http://orcid.org/0000-0002-1226-5685
Khadija Abu KhaderPalestinian National Institute of Public Health, World Health Organization, Al-Bireh, Occupied Palestinian Territory.ORCID http://orcid.org/0000-0001-5000-7276
Tamara AwwadPalestinian National Institute of Public Health, World Health Organization, Al-Bireh, Occupied Palestinian Territory.ORCID http://orcid.org/0000-0002-4750-173X
Buthaina GhanemPalestinian National Institute of Public Health, World Health Organization, Al-Bireh, Occupied Palestinian Territory.ORCID http://orcid.org/0000-0003-1125-6274
Taghreed HijazMinistry of Health, Ramallah, Occupied Palestinian Territory.ORCID http://orcid.org/0000-0002-9672-4489
Kjersti MørkridGlobal Health Cluster, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID http://orcid.org/0000-0003-4613-1324
J Frederik FrøenGlobal Health Cluster, Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway.ORCID http://orcid.org/0000-0001-9390-8509
Norwegian Institute of Public Health · NOAccreditation and Quality Assurance Commission · PSUiT The Arctic University of Norway · NO

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundPaper-based routine health information systems often require repetitive data entry. In the West Bank, the primary health care system for maternal and child health was entirely paper-based, with care providers spending considerable amounts of time maintaining multiple files and client registers. As part of the phased national implementation of an electronic health information system, some of the primary health care clinics are now using an electronic registry (eRegistry) for maternal and child health. The eRegistry consists of client-level data entered by care providers at the point-of-care and supports several digital health interventions that are triggered by the documented clinical data, including guideline-based clinical decision support and automated public health reports.

objectiveThe aim of the eRegTime study is to investigate whether the use of the eRegistry leads to changes in time-efficiency in health information management by the care providers, compared with the paper-based systems.

methodsThis is a substudy in a cluster randomized controlled trial (the eRegQual study) and uses the time-motion observational study design. The primary outcome is the time spent on health information management for antenatal care, informed and defined by workflow mapping in the clinics. We performed sample size estimations to enable the detection of a 25% change in time-efficiency with a 90% power using an intracluster correlation coefficient of 0.1 and an alpha of .05. We observed care providers for full workdays in 24 randomly selected primary health care clinics-12 using the eRegistry and 12 still using paper. Linear mixed effects models will be used to compare the time spent on health information management per client per care provider.

resultsAlthough the objective of the eRegQual study is to assess the effectiveness of the eRegistry in improving quality of antenatal care, the results of the eRegTime study will contribute to process evaluation, supplementing the findings of the larger trial.

conclusionsElectronic health tools are expected to reduce workload for the care providers and thus improve efficiency of clinical work. To achieve these benefits, the implementation of such systems requires both integration with existing workflows and the creation of new workflows. Studies assessing the time-efficiency of electronic health information systems can inform policy decisions for implementations in resource-limited low- and middle-income settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/13653.

Indexed as

antenatal caredeveloping countrieshealth information systems, eHealthTime and Motion Studiesworkflow

Identifiers

PMID31392962
PMCPMC6702800
OpenAlexW2965749773

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.