Evidence map›Paper›PMID 35289760›Full record

ArticleJMIR formative research2022

Acceptance of the District Health Information System Version 2 Platform for Malaria Case-Based Surveillance By Health Care Workers in Botswana: Web-Based Survey.

Kagiso Ndlovu, Kabelo Leonard Mauco, Mpho Keetile, Khutsafalo Kadimo, Refilwe Yvonne Senyatso, Davies Ntebela, Buthugwashe Valela, Clement Murambi

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. A Descriptive Assessment of Healthcare Workers' Preparedness for Digital Health Systems in Malawi.Malawi medical journal : the journal of Medical Association of Malawi · 2026
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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.

Kagiso Ndlovu *Department of Computer Science, Faculty of Science, University of Botswana, Gaborone, Botswana.ORCID https://orcid.org/0000-0002-4175-8366
Kabelo Leonard Mauco *Department of Health Information Management, Faculty of Health and Education, Botho University, Gaborone, Botswana.ORCID https://orcid.org/0000-0002-9726-5966
Mpho Keetile *Department of Population Studies, Faculty of Social Sciences, University of Botswana, Gaborone, Botswana.ORCID https://orcid.org/0000-0003-1776-4835
Khutsafalo Kadimo *Department of Library Services, University of Botswana, Gaborone, Botswana.ORCID https://orcid.org/0000-0001-9613-4393
Refilwe Yvonne Senyatso *National Malaria Programme, Ministry of Health and Wellness, Gaborone, Botswana.ORCID https://orcid.org/0000-0002-4613-507X
Davies Ntebela *National Malaria Programme, Ministry of Health and Wellness, Gaborone, Botswana.ORCID https://orcid.org/0000-0002-3804-0644
Buthugwashe Valela *National Malaria Programme, Ministry of Health and Wellness, Gaborone, Botswana.ORCID https://orcid.org/0000-0002-5256-4970
Clement MurambiNational Malaria Programme, Ministry of Health and Wellness, Gaborone, Botswana.ORCID https://orcid.org/0000-0001-6406-3359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimilar to many low- and middle-income countries, Botswana has identified eHealth as a means of improving health care service provision and delivery. The National Malaria Programme (NMP) in Botswana has implemented the District Health Information System version 2 (DHIS2) to support timely malaria case reporting across its 27 health districts; however, the implementation of an eHealth system is never without challenges. Barriers to the implementation of eHealth innovations within health care settings may arise at the individual or organizational levels. As such, the evaluation of user perceptions of the technology is an important step that can inform its sustainable implementation. The DHIS2 was implemented without evaluating user perceptions beforehand; therefore, the Botswana Ministry of Health and Wellness was uncertain about the likelihood of acceptance and use of the platform.

objectiveWe aimed to determine the acceptance of the DHIS2 platform by the NMP in Botswana to gauge whether adoption would be successful.

methodsThe study's design was informed by constructs of the technology acceptance model. A survey, with items assessed using a 7-point Likert scale, and focus group discussions were undertaken with DHIS2 core users from 27 health districts and NMP personnel at the Ministry of Health and Wellness. The web-based survey was administered from August 3, 2020 to September 30, 2020.

resultsSurvey participants were core users (n=27). Focus group participants were NMP personnel (n=5). Overall, participants' survey responses (frequently occurring scores of 7) showed their confidence in the DHIS2 platform for case-based surveillance of malaria; however, participants also noted some organizational issues that could compromise user acceptance of the DHIS2 platform.

conclusionsParticipants' responses indicated their acceptance of the DHIS2 platform; however, the consideration of factors related to organizational readiness could further enhance successful acceptance, and consequently, successful adoption of the platform by the malaria program in Botswana.

Indexed as

BotswanaDHIS2district health information systemeHealthmalariamalaria case-based surveillancepublic healthsurveillancetechnology acceptance modeltechnology adoptionuser acceptance

Identifiers

PMID35289760
PMCPMC8965668

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.