02494nas a2200253 4500000000100000008004100001260002700042653001200069653001500081100001100096700001500107700001500122700001700137700001200154700000900166700001500175700001600190700001300206245010300219856004700322490000600369520185100375022001402226 2020 d bJMIR Publications Inc. 10 aMhealth 10 aEvaluation 1 aDick S 1 aO'Connor Y 1 aThompson M 1 aO'Donoghue J 1 aHardy V 1 aWu J 1 aSullivan T 1 aChirambo GB 1 aHeavin C 00 aConsiderations for Improved mHealth Evaluation: Retrospective Qualitative Investigation (Preprint) uhttps://mhealth.jmir.org/2020/1/e12424/pdf 0 v8 3 aBackground: 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. a2291-5222