Understanding the evaluation of mHealth app features based on a cross-country Kano analysis
| Autor: | Till J. Winkler, Henner Gimpel, Fabian Schmied, Tobias Manner-Romberg |
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| Přispěvatelé: | Publica |
| Rok vydání: | 2021 |
| Předmět: |
Economics and Econometrics
020205 medical informatics media_common.quotation_subject Internet privacy O3 M3 02 engineering and technology mHealth self-efficacy Literacy 03 medical and health sciences 0302 clinical medicine Adult playfulness Management of Technology and Innovation Perception Privacy concerns Health care ddc:330 0202 electrical engineering electronic engineering information engineering Kano model 030212 general & internal medicine mHealth literacy I10 Business and International Management Set (psychology) mHealth media_common Marketing Cross country I18 business.industry I12 Computer Science Applications Survey data collection business Psychology Personal health record Research Paper |
| Zdroj: | Electronic Markets |
| ISSN: | 1422-8890 1019-6781 |
| DOI: | 10.1007/s12525-020-00455-y |
| Popis: | While mobile health (mHealth) apps play an increasingly important role in digitalized health care, little is known regarding the effects of specific mHealth app features on user satisfaction across different healthcare system contexts. Using personal health record (PHR) apps as an example, this study identifies how potential users in Germany and Denmark evaluate a set of 26 app features, and whether evaluation differences can be explained by the differences in four pertinent user characteristics, namely privacy concerns, mHealth literacy, mHealth self-efficacy, and adult playfulness. Based on survey data from both countries, we employed the Kano method to evaluate PHR features and applied a quartile-based sample-split approach to understand the underlying relationships between user characteristics and their perceptions of features. Our results not only reveal significant differences in 14 of the features between Germans and Danes, they also demonstrate which of the user characteristics best explain each of these differences. Our two key contributions are, first, to explain the evaluation of specific PHR app features on user satisfaction in two different healthcare contexts and, second, to demonstrate how to extend the Kano method in terms of explaining subgroup differences through user characteristic antecedents. The implications for app providers and policymakers are discussed. |
| Databáze: | OpenAIRE |
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