Evidence map›Paper›PMID 35295017›Full record

ArticleInternational journal of mycobacteriology

Digital health interventions in the clinical care and treatment of tuberculosis and hiv in central Ethiopia: An initial provider perceptions and acceptability study using the unified theory of acceptance and use of technology model.

Emnet Getachew, Yimtubezinash Woldeamanuel, Tsegahun Manyazewal

Abstract read
In one paragraph

Article in International journal of mycobacteriology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Clinical standards for drug-susceptible pulmonary TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
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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

3 authors.

Emnet GetachewCentre for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis, Ababa; Department of Public Health, Arsi University, College of Health Science, Asella, Ethiopia.
Yimtubezinash WoldeamanuelCentre for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis, Ababa, Ethiopia.
Tsegahun ManyazewalCentre for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis, Ababa, Ethiopia.

Funding

Ethiopia-Emory TB Research Training ProgramD43TW009127 · FIC · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Kidist Bobosha · 2013 to 2026
$3.4M
FIC NIH HHS D43 TW009127
6 · The paper itself

Abstract

Background: Digital health technologies are emerging as promising technologies to advance clinical care. This study aimed to assess providers' perceptions and acceptability of digital health interventions (DHIs) in the clinical care and treatment of tuberculosis (TB) and HIV in Addis Ababa, Ethiopia. Methods: This was a multi-center, facility-based, mixed-method, cross-sectional study that included 14 government health-care facilities. The participants were health-care providers (HCPs) who provide TB and HIV clinical care. Using a tool framed by the unified theory of acceptance and use of technology model, data were collected. A linear regression model was used to assess the relationship between dependent and independent variables. Results: There were 76 HCPs actively engaged in HIV/TB clinical care services in the selected 14 study sites, of whom 60 met the inclusion criteria and participated in this study. The major factors that influence HCPs' willingness to use different technologies were educational level (β = 0.097, t = 3.784, P = 0.006), age (β = -0.227, t = -1.757, P = 0.027), work experience (β = -0.366, t = -2.855, P = 0.016). The strongest facilitator of their acceptance and the use of the digital adherence technology were perceptions of positive performance expectancy. Conclusion: Many public healthcare facilities in Addis Ababa have already begun the process of implementing various DHIs and the level of acceptability of these technologies by HCPs was found to be high.

Indexed as

HIV InfectionsTuberculosisCross-Sectional StudiesEthiopiaHumansTechnologyDigital healthelectronic healthEthiopia technologyhealthcare providershuman immunodeficiency virustuberculosis

Identifiers

PMID35295017
PMCPMC9400110

What OpenQuestion holds

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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.