IRUS Total

End-user perspectives of two mHealth decision support tools: Electronic Community Case Management in Northern Malawi

File Description SizeFormat 
Comparative study Revised_October.docxAccepted version137.92 kBMicrosoft WordView/Open
Title: End-user perspectives of two mHealth decision support tools: Electronic Community Case Management in Northern Malawi
Authors: Chirambo, GB
Muula, AS
Thompson, M
Hardy, VE
Heavin, C
O'Connor, Y
Mastellos, N
Anderson, B
O'Donoghue, J
Item Type: Journal Article
Abstract: Background The introduction of a paper-based Community Case Management (CCM) in Malawi has contributed to a reduction of child morbidity and mortality rates. In addition, the introduction of electronic Community Case Management (eCCM) (smartphones with built in CCM apps) may help to reduce the under-five mortality rates even further. Purpose It is not uncommon for Apps with a similar area of interest to develop different features to assist the end users. Such differences between Apps may have a significant role to play in its overall adoption and integration. The purpose of this research was to explore end users perspectives of two eCCM decision support tools developed and implemented by the Supporting LIFE project (SL eCCM App) and D-Tree International’s (Mangologic eCCM App)in Northern Malawi. Methods A mixed methods approach was applied, involving a survey of 109 users (106 Health Surveillance Assistants (HSAs), and 3 Integrated Management of Childhood Il6lnesses (IMCI) coordinators). This was followed up with semi-structured interviews with 34 respondents (31 HSAs, and 3 IMCI coordinators). Quantitative data was analyzed using SPSS version 20 where descriptive statistics and Chi-Squared tests were generated. Qualitative data were analyzed based on thematic analysis. Results Participants reported that both Apps could assist the HSAs in the management of childhood illnesses. However, usability differed between the two apps where the Supporting LIFE eCCM App was found to be easier to use (61%) compared to the Mangologic eCCM App (4%). Both Apps were perceived to provide credible and accurate information. Conclusion It is essential that the quality of the data within Mobile Health (mHealth) Apps is high, however even Apps with excellent levels of data quality may not succeed if the overall usability of the App is low. Therefore it is essential that the Apps has high levels of data quality, usability and credibility. The results of this study will help inform mobile Health (mHealth) App designers in developing future eCCM Apps as well as researchers and policy makers when considering the adoption of mHealth solutions in the future in Malawi and other LMICs.
Issue Date: 1-Jan-2021
Date of Acceptance: 28-Oct-2020
URI: http://hdl.handle.net/10044/1/85312
DOI: 10.1016/j.ijmedinf.2020.104323
ISSN: 1386-5056
Publisher: Elsevier
Journal / Book Title: International Journal of Medical Informatics
Volume: 145
Copyright Statement: © 2020 Elsevier B.V. All rights reserved. . This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: (CCM)
Community Case Management
Electronic Community Case Management
Health Surveillance Assistants
Northern Malawi
mobile Health
Medical Informatics
08 Information and Computing Sciences
09 Engineering
11 Medical and Health Sciences
Publication Status: Published
Article Number: ARTN 104323
Online Publication Date: 2020-11-10
Appears in Collections:School of Public Health

This item is licensed under a Creative Commons License Creative Commons