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More adherence apps are available in the Web-based marketplace, and the quality of these apps varies considerably. The total user-tested score was positively correlated with consumer ratings (r=.1969, P=.04). The mean consumer rating was 3.93 (SD 0.84). The majority of the user tested the adherence apps that underwent user testing reported a consumer rating score in their respective online marketplace. The median overall user-tested score was 31.5 (max of 73 range 0-60). As a result, 100 of the highest-scoring unique apps underwent user testing. The median initial score based on descriptions was 14 (max of 68 range 0-60).

Pearson product correlations were estimated between the consumer ratings and our domain and total scores.Ī total of 824 adherence apps were identified of these, 645 unique apps were evaluated after applying exclusion criteria. The same reviewers downloaded and tested the 100 highest-ranking apps including an additional domain for assessment of HL. Two independent reviewers assessed the features and functionality using a 4-domain rating tool of all adherence apps identified based on developer claims. The aims of this study were to (1) provide an updated evaluation and comparison of medication adherence apps in the marketplace by assessing the features, functionality, and health literacy (HL) of the highest-ranking adherence apps and (2) indirectly measure the validity of our rating methodology by determining the relationship between our app evaluations and Web-based consumer ratings. The development of smartphone adherence apps has increased rapidly since 2012 however, literature evaluating the clinical app and effectiveness of smartphone adherence apps to improve medication adherence is generally lacking.

One approach to improve medication nonadherence that has gained interest in recent years is the use of smartphone adherence apps. Nonadherence produces considerable health consequences and economic burden to patients and payers.

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