Perceived Usefulness, Competency, and Associated Factors in Using District Health Information System Data Among District Health Managers in Tanzania: Cross-sectional Study.

DHIS2 Tanzania competency health information system health management information system perception usefulness

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
23 May 2022
Historique:
received: 12 04 2021
accepted: 27 12 2021
revised: 14 07 2021
entrez: 23 5 2022
pubmed: 24 5 2022
medline: 24 5 2022
Statut: epublish

Résumé

Tanzania introduced District Health Information Software (version 2; DHIS2) in 2013 to support existing health management information systems and to improve data quality and use. However, to achieve these objectives, it is imperative to build human resource capabilities to address the challenges of new technologies, especially in resource-constrained countries. This study aimed to determine the perceived usefulness, competency, and associated factors in using DHIS2 data among district health managers (DHMs) in Tanzania. This descriptive cross-sectional study used a quantitative approach, which involved using a self-administered web-based questionnaire. This study was conducted between April and September 2019. We included all core and co-opted members of the council or district health management teams (DHMTs) from all 186 districts in the country. Frequency and bivariate analyses were conducted, and the differences among categories were measured by using a chi-square test. P values of <.05 were considered significant. A total of 2667 (77.96%) of the expected 3421 DHMs responded, of which 2598 (97.41%) consented and completed the questionnaires. Overall, the DHMs were satisfied with DHIS2 (2074/2596, 79.83%) because of workload reduction (2123/2598, 81.72%), the ease of learning (1953/2598, 75.17%), and enhanced data use (2239/2598, 86.18%). Although only half of the managers had user accounts (1380/2598, 53.12%) and were trained on DHIS2 data analysis (1237/2598, 47.61%), most claimed to have average to advanced skills in data validation (1774/2598, 68.28%), data visualization (1563/2598, 60.16%), and DHIS2 data use (1321/2598, 50.85%). The biggest challenges facing DHMs included the use of a paper-based system as the primary data source (1890/2598, 72.75%) and slow internet speed (1552/2598, 59.74%). Core members were more confident in using DHIS2 compared with other members (P=.004), whereas program coordinators were found to receive more training on data analysis and use (P=.001) and were more confident in using DHIS2 data compared with other DHMT members (P=.001). This study showed that DHMs have appreciable competencies in using the DHIS2 and its data. However, their skill levels have not been commensurate with the duration of DHIS2 use. This study recommends improvements in the access to and use of DHIS2 data. More training on data use is required and should involve using cost-effective approaches to include both the core and noncore members of the DHMTs. Moreover, enhancing the culture and capacity of data use will ensure the better management and accountability of health system performance.

Sections du résumé

BACKGROUND BACKGROUND
Tanzania introduced District Health Information Software (version 2; DHIS2) in 2013 to support existing health management information systems and to improve data quality and use. However, to achieve these objectives, it is imperative to build human resource capabilities to address the challenges of new technologies, especially in resource-constrained countries.
OBJECTIVE OBJECTIVE
This study aimed to determine the perceived usefulness, competency, and associated factors in using DHIS2 data among district health managers (DHMs) in Tanzania.
METHODS METHODS
This descriptive cross-sectional study used a quantitative approach, which involved using a self-administered web-based questionnaire. This study was conducted between April and September 2019. We included all core and co-opted members of the council or district health management teams (DHMTs) from all 186 districts in the country. Frequency and bivariate analyses were conducted, and the differences among categories were measured by using a chi-square test. P values of <.05 were considered significant.
RESULTS RESULTS
A total of 2667 (77.96%) of the expected 3421 DHMs responded, of which 2598 (97.41%) consented and completed the questionnaires. Overall, the DHMs were satisfied with DHIS2 (2074/2596, 79.83%) because of workload reduction (2123/2598, 81.72%), the ease of learning (1953/2598, 75.17%), and enhanced data use (2239/2598, 86.18%). Although only half of the managers had user accounts (1380/2598, 53.12%) and were trained on DHIS2 data analysis (1237/2598, 47.61%), most claimed to have average to advanced skills in data validation (1774/2598, 68.28%), data visualization (1563/2598, 60.16%), and DHIS2 data use (1321/2598, 50.85%). The biggest challenges facing DHMs included the use of a paper-based system as the primary data source (1890/2598, 72.75%) and slow internet speed (1552/2598, 59.74%). Core members were more confident in using DHIS2 compared with other members (P=.004), whereas program coordinators were found to receive more training on data analysis and use (P=.001) and were more confident in using DHIS2 data compared with other DHMT members (P=.001).
CONCLUSIONS CONCLUSIONS
This study showed that DHMs have appreciable competencies in using the DHIS2 and its data. However, their skill levels have not been commensurate with the duration of DHIS2 use. This study recommends improvements in the access to and use of DHIS2 data. More training on data use is required and should involve using cost-effective approaches to include both the core and noncore members of the DHMTs. Moreover, enhancing the culture and capacity of data use will ensure the better management and accountability of health system performance.

Identifiants

pubmed: 35604763
pii: v6i5e29469
doi: 10.2196/29469
pmc: PMC9171597
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e29469

Informations de copyright

©Daudi Simba, Felix Sukums, Claud Kumalija, Sarah Eden Asiimwe, Sai Kumar Pothepragada, Patrick Warui Githendu. Originally published in JMIR Formative Research (https://formative.jmir.org), 23.05.2022.

Références

Int J Health Plann Manage. 2018 Apr;33(2):e621-e635
pubmed: 29542196
Health Inf Manag. 2019 May;48(2):62-75
pubmed: 29898604
Health Res Policy Syst. 2019 Jan 30;17(1):11
pubmed: 30700308
Health Policy Plan. 2009 May;24(3):217-28
pubmed: 19304786
JMIR Med Inform. 2021 Mar 4;9(3):e23951
pubmed: 33661133
Glob Health Action. 2013 Feb 13;6:20001
pubmed: 23406921
Tanzan Health Res Bull. 2007 Jan;9(1):1-11
pubmed: 17547094
BMJ Health Care Inform. 2020 Jan;27(1):
pubmed: 31924667
Nurse Res. 2012;20(1):11-20
pubmed: 23061269
Am J Public Health. 2017 Sep;107(9):1470-1476
pubmed: 28727538
S Afr Med J. 2008 Jul;98(7):549-52
pubmed: 18785397
AMIA Annu Symp Proc. 2010 Nov 13;2010:372-6
pubmed: 21347003
Int J Public Health. 2018 Jul;63(6):765-773
pubmed: 29691594
Tanzan J Health Res. 2008 Jan;10(1):39-45
pubmed: 18680964
Int J Health Plann Manage. 2018 Oct;33(4):e1050-e1066
pubmed: 30052278
BMC Health Serv Res. 2020 May 26;20(1):465
pubmed: 32456706

Auteurs

Daudi Simba (D)

Department of Community Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Felix Sukums (F)

Directorate of Information and Communication Technology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

Claud Kumalija (C)

Health Management Information System Unit, Ministry of Health, Community Development, Gender, Elderly and Children, Dodoma, United Republic of Tanzania.

Sarah Eden Asiimwe (SE)

The Global Fund to Fight HIV, Tuberculosis and Malaria, Geneva, Switzerland.

Sai Kumar Pothepragada (SK)

The Global Fund to Fight HIV, Tuberculosis and Malaria, Geneva, Switzerland.

Patrick Warui Githendu (PW)

The Global Fund to Fight HIV, Tuberculosis and Malaria, Geneva, Switzerland.

Classifications MeSH