TY - JOUR
T1 - Considerations for improved mobile health evaluation
T2 - Retrospective qualitative investigation
AU - Dick, Samantha
AU - O'Connor, Yvonne
AU - Thompson, Matthew J.
AU - O'Donoghue, John
AU - Hardy, Victoria
AU - Joseph Wu, Tsung Shu
AU - O'Sullivan, Timothy
AU - Chirambo, Griphin Baxter
AU - Heavin, Ciara
N1 - Publisher Copyright:
©Samantha Dick, Yvonne O'Connor, Matthew J Thompson, John O'Donoghue, Victoria Hardy, Tsung-Shu Joseph Wu, Timothy O'Sullivan, Griphin Baxter Chirambo, Ciara Heavin.
PY - 2020
Y1 - 2020
N2 - Background: Mobile phone use and, consequently, mobile health (mHealth) interventions have seen an exponential increase in the last decade. There is an excess of 318,000 health-related apps available free of cost for consumers to download. However, many of these interventions are not evaluated and are lacking appropriate regulations. Randomized controlled trials are often considered the gold standard study design in determining the effectiveness of interventions, but recent literature has identified limitations in the methodology when used to evaluate mHealth. Objective: The objective of this study was to investigate the system developers’ experiences of evaluating mHealth interventions in the context of a developing country. Methods: We employed a qualitative exploratory approach, conducting semistructured interviews with multidisciplinary members of an mHealth project consortium. A conventional content analysis approach was used to allow codes and themes to be identified directly from the data. Results: The findings from this study identified the system developers’ perceptions of mHealth evaluation, providing an insight into the requirements of an effective mHealth evaluation. This study identified social and technical factors which should be taken into account when evaluating an mHealth intervention. Conclusions: Contextual issues represented one of the most recurrent challenges of mHealth evaluation in the context of a developing country, highlighting the importance of a mixed method evaluation. There is a myriad of social, technical, and regulatory variables, which may impact the effectiveness of an mHealth intervention. Failure to account for these variables in an evaluation may limit the ability of the intervention to achieve long-term implementation and scale.
AB - Background: Mobile phone use and, consequently, mobile health (mHealth) interventions have seen an exponential increase in the last decade. There is an excess of 318,000 health-related apps available free of cost for consumers to download. However, many of these interventions are not evaluated and are lacking appropriate regulations. Randomized controlled trials are often considered the gold standard study design in determining the effectiveness of interventions, but recent literature has identified limitations in the methodology when used to evaluate mHealth. Objective: The objective of this study was to investigate the system developers’ experiences of evaluating mHealth interventions in the context of a developing country. Methods: We employed a qualitative exploratory approach, conducting semistructured interviews with multidisciplinary members of an mHealth project consortium. A conventional content analysis approach was used to allow codes and themes to be identified directly from the data. Results: The findings from this study identified the system developers’ perceptions of mHealth evaluation, providing an insight into the requirements of an effective mHealth evaluation. This study identified social and technical factors which should be taken into account when evaluating an mHealth intervention. Conclusions: Contextual issues represented one of the most recurrent challenges of mHealth evaluation in the context of a developing country, highlighting the importance of a mixed method evaluation. There is a myriad of social, technical, and regulatory variables, which may impact the effectiveness of an mHealth intervention. Failure to account for these variables in an evaluation may limit the ability of the intervention to achieve long-term implementation and scale.
KW - Developing countries
KW - MHealth
KW - Research design
KW - Telemedicine
UR - http://www.scopus.com/inward/record.url?scp=85078911504&partnerID=8YFLogxK
U2 - 10.2196/12424
DO - 10.2196/12424
M3 - Article
C2 - 32012085
AN - SCOPUS:85078911504
SN - 2291-5222
VL - 8
SP - e12424
JO - JMIR mHealth and uHealth
JF - JMIR mHealth and uHealth
IS - 1
M1 - e12424
ER -