Evidence map›Paper›PMID 32509910›Full record

ArticleJournal of education and health promotion2020

Assessing the implementation of a mobile App-based electronic health record: A mixed-method study from South India.

D M Shilpa, Poonam Ramesh Naik, Hemant Deepak Shewade, H Sudarshan

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2020. 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
3.0field-weighted citation impact, top 8% 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, 24 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

4 authors at 2 institutions in 2 countries.

D M ShilpaKaruna Trust, Bengaluru, India.
Poonam Ramesh NaikDepartment of Community Medicine, Yenepoya Medical College, Yenepoya (Deemed to be University), Mangalore, Karnataka, India.
Hemant Deepak ShewadeKaruna Trust, Bengaluru, India.
H SudarshanKaruna Trust, Bengaluru, India.
Yenepoya University · INWorld Health Organization Regional Office for South-East Asia · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGovernment of India recognizes the use of "information, communication, and technology" in the provision of comprehensive primary healthcare. In 2014-2015, Karuna Trust, a nongovernmental organization, Bengaluru, India, introduced an electronic health record (EHR) innovation, namely "Comprehensive Public Health Management" application (CPHM App). Data could be entered in an offline mode followed by syncing with cloud. The CPHM App was piloted in primary health center (PHC) Gumballi, in Karnataka, with focus on household survey and maternal and child health (MCH) services.

objectivesTo compare the consistency of selected MCH process indicators for Health Management Information System [HMIS] available from paper-based records and those generated through the CPHM App (2016-2017). We also explored the implementation enablers, barriers, and suggested solutions from the user perspective.

methodsA sequential mixed-method study design was followed. Quantitative phase involved aggregate data analysis looking into the consistency of selected MCH process indicators available from paper-based records and those generated through the CPHM App (2016-2017) followed by thematic analysis of in-depth interviews of healthcare providers. Consistency was defined as a percentage where the numerator was the HMIS-related process indicator data from CPHM App and denominator was the data from paper-based records.

resultsThree out of 12 selected MCH indicators had consistency of >80%. The quarterly consistency reduced over the 2 years. Dual burden of entry and regular monitoring of paper-based records by district health and family welfare department were the reasons why more importance was given to entry in paper-based records. Ability to generate aggregate indicators with CPHM App, easy to use and retrieve data in the field, and reminder facility for planned health activities were some of the factors facilitating CPHM implementation. The key barriers were limited technical expertise and support from the technical team and no internet connectivity in the field and traveling to PHC to sync the data. Provision of real-time technical support and availability of data connectivity in the field were some of the solutions suggested.

conclusionThere should be a minimum of 1-2 years of simultaneous use of EHR and paper-based records after which one must shift to EHR.

Indexed as

Comprehensive Public Health Management Appelectronic health recordshealth system researchmaternal and child health servicesStructured Operational Research and Training Initiative

Identifiers

PMID32509910
PMCPMC7271930
OpenAlexW3031190789

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.