Evidence map›Paper›PMID 39822608›Full record

ArticleJournal of public health in Africa2024

Leveraging digital health systems maturity assessments to guide strategic priorities.

Phiona Vumbugwa, Nancy Puttkammer, Moira Majaha, Andrew Likaka, Sonora Stampfly, Paul Biondich, Jennifer E Shivers, Kendi Mburu, Olusegun O Soge, Chris Longenecker and 2 more

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
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

12 authors.

Phiona VumbugwaDepartment of Global Health, University of Washington, Seattle, United States of America.ORCID https://orcid.org/0000-0002-0214-1267
Nancy PuttkammerDepartment of Global Health, University of Washington, Seattle, United States of America.ORCID https://orcid.org/0000-0002-6693-9278
Moira MajahaThe Biomedical Research and Training Institute, Harare, Zimbabwe.ORCID https://orcid.org/0009-0007-2377-6695
Andrew LikakaDirectorate of Quality Management and Digital Health, Ministry of Health, Lilongwe, Zambia.ORCID https://orcid.org/0000-0002-8826-8401
Sonora StampflyDepartment of Global Health, International Training and Education Centre for Health/University of Washington, Seattle, United States of America.ORCID https://orcid.org/0000-0002-9376-3554
Paul BiondichGlobal Health Informatics, Regenstrief Institute, Indiana, United States of America.ORCID https://orcid.org/0000-0001-7637-1420
Jennifer E ShiversGlobal Health Informatics, Regenstrief Institute, Indiana, United States of America.ORCID https://orcid.org/0000-0003-0739-0171
Kendi MburuProgram for Appropriate Technology in Health, Washington DC, United States of America.ORCID https://orcid.org/0009-0004-1390-0400
Olusegun O SogeDepartment of Global Health, University of Washington, Seattle, United States of America.ORCID https://orcid.org/0000-0002-8504-2319
Chris LongeneckerDepartment of Global Health, University of Washington, Seattle, United States of America.ORCID https://orcid.org/0000-0002-9468-0179
Jan FlowersDepartment of Global Health, International Training and Education Centre for Health/University of Washington, Seattle, United States of America.ORCID https://orcid.org/0000-0001-5076-8569
Caryl FeldackerDepartment of Global Health, University of Washington, Seattle, United States of America.ORCID https://orcid.org/0000-0002-8152-6754

Funding

CGH CDC HHS U2G GH001449
6 · The paper itself

Abstract

Background: Many low- and middle-income countries (LMICs) face the daunting task of digitising, maturing and deciding where to invest in digital health systems. Aim: Describing the facilitators and barriers to conducting digital health maturity assessments and how health leaders can prioritise the assessments. Setting: eHealth leaders from 10 African countries, working or supporting Ministries of Health's digital health and participating in the eHealth Leaders' Forum from July 2023 to September 2023. Methods: This qualitative, descriptive study utilised key informant interviews conducted via Zoom with 14 conveniently selected leaders. We used Dedoose Version 9.0 to develop themes based on the health system's building blocks. Results: Participants identified maturity assessments as a critical first step to digital health strengthening, showing the system's performance and building a baseline response to systematic data quality challenges. Barriers to conducting digital health maturity assessment include lacking collaborators' buy-in, fragmented vision, overdependence on donor priorities, non-supportive policies and an inadequately skilled workforce. Facilitators include multi-stakeholder engagement, understanding the country's digital health ecosystem and appropriately integrating maturity assessment objectives. Recommendations include capacity building in data use and conducting maturity assessments at all health system levels to grow the demand and value of digital health strengthening. Conclusion: Promoting digital health maturity assessments can help leaders to make appropriate decisions to prioritise areas of improvement and steward maturity advancement as a pathway to strengthening the health system. Contribution: We spotlight the perspectives of African eHealth leaders, centering voices on the barriers, facilitators to planning and recommendations for implementing digital health systems maturity assessments.

Indexed as

digital healthdigital health governancedigital health systems maturity assessments (DHSMA)eHealthhealth information systems (HIS)health systems strengthening (HSS)

Identifiers

PMID39822608
PMCPMC11736568

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.