Evidence map›Paper›PMID 39178177›Full record

ArticlePLOS digital health2024

Beyond diagnostic connectivity: Leveraging digital health technology for the real-time collection and provision of high-quality actionable data on infectious diseases in Uganda.

Dennis Mujuni, Julius Tumwine, Kenneth Musisi, Edward Otim, Maha Reda Farhat, Dorothy Nabulobi, Nyombi Abdunoor, Arnold Kennedy Tumuhairwe, Marvin Derrick Mugisa, Denis Oola and 4 more

Abstract read
In one paragraph

Article in PLOS digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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

14 authors.

Dennis MujuniMakerere University, College of Health Sciences, Kampala, Uganda.ORCID https://orcid.org/0000-0002-7831-2894
Julius TumwineUganda National TB Reference Laboratory, World Health Organisation Supranational Reference Laboratory, Kampala, Uganda.
Kenneth MusisiUganda National TB Reference Laboratory, World Health Organisation Supranational Reference Laboratory, Kampala, Uganda.
Edward OtimMakerere University Joint AIDS Program, Kampala, Uganda.
Maha Reda FarhatDepartment of Medical Informatics, Harvard Medical School, Harvard University, Boston, Massachusetts, United States of America.
Dorothy NabulobiUganda National TB Reference Laboratory, World Health Organisation Supranational Reference Laboratory, Kampala, Uganda.
Nyombi AbdunoorUganda National TB Reference Laboratory, World Health Organisation Supranational Reference Laboratory, Kampala, Uganda.
Arnold Kennedy TumuhairweMakerere University, School of Social Sciences, Kampala, Uganda.
Marvin Derrick MugisaUganda National TB Reference Laboratory, World Health Organisation Supranational Reference Laboratory, Kampala, Uganda.
Denis OolaUganda National TB Reference Laboratory, World Health Organisation Supranational Reference Laboratory, Kampala, Uganda.
Fred SemitalaMakerere University Joint AIDS Program, Kampala, Uganda.
Raymond ByaruhangaNational Tuberculosis and Leprosy Control Program, Ministry of Health, Kampala, Uganda.
Stavia TuryahabweNational Tuberculosis and Leprosy Control Program, Ministry of Health, Kampala, Uganda.
Moses JolobaMakerere University, College of Health Sciences, Kampala, Uganda.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Automated data transmission from diagnostic instrument networks to a central database at the Ministries of Health has the potential of providing real-time quality data not only on diagnostic instrument performance, but also continuous disease surveillance and patient care. We aimed at sharing how a locally developed novel diagnostic connectivity solution channels actionable data from diagnostic instruments to the national dashboards for disease control in Uganda between May 2022 and May 2023. The diagnostic connectivity solution was successfully configured on a selected network of multiplexing diagnostic instruments at 260 sites in Uganda, providing a layered access of data. Of these, 909,674 test results were automatically collected from 269 "GeneXpert" machines, 5597 test results from 28 "Truenat" and >12,000 were from 3 digital x-ray devices to different stakeholder levels to ensure optimal use of data for their intended purpose. The government and relevant stakeholders are empowered with usable and actionable data from the diagnostic instruments. The successful implementation of the diagnostic connectivity solution depended on some key operational strategies namely; sustained internet connectivity and short message services, stakeholder engagement, a strong in-country laboratory coordination network, human resource capacity building, establishing a network for the diagnostic instruments, and integration with existing health data collection tools. Poor bandwidth at some locations was a major hindrance for the successful implementation of the connectivity solution. Maintaining stakeholder engagement at the clinical level is key for sustaining diagnostic data connectivity. The locally developed diagnostic connectivity solution as a digital health technology offers the chance to collect high-quality data on a number of parameters for disease control, including error analysis, thereby strengthening the quality of data from the networked diagnostic sites to relevant stakeholders.

Identifiers

PMID39178177
PMCPMC11343378

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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.