Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan
Background: Drug reference apps promote self-management and improve the efficiency and quality of work for physicians, nurses, pharmacists, and patients. This study aimed to describe a systematic and stepwise process to identify drug reference apps in Taiwan, assess the quality of these apps, and an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/11/8/790 |
| _version_ | 1797523295076089856 |
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| author | Yu-Chun Chen Wei-Wei Liao Mei-Chin Su Yen-Hsi Lin |
| author_facet | Yu-Chun Chen Wei-Wei Liao Mei-Chin Su Yen-Hsi Lin |
| author_sort | Yu-Chun Chen |
| collection | DOAJ |
| description | Background: Drug reference apps promote self-management and improve the efficiency and quality of work for physicians, nurses, pharmacists, and patients. This study aimed to describe a systematic and stepwise process to identify drug reference apps in Taiwan, assess the quality of these apps, and analyze the influential factors for user ratings. Methods: A two-step algorithm (KESS) consisting of keyword growing and systematic search was proposed. Seven independent reviewers were trained to evaluate these apps using Mobile App Rating Scale (MARS). A logistic regression model was fitted and average marginal effects (AME) were calculated to identify the effects of factors for higher user ratings. Results: A total of 23 drug reference apps in Taiwan were identified and analyzed. Generally, these drug reference apps were evaluated as acceptable quality with an average MARS score of 3.23. Higher user engagement, more functionality, better aesthetics, and more information associated with higher user ratings. Navigation is the most influential factor on higher user ratings (AME: 13.15%) followed by performance (AME: 11.03%), visual appeal (AME: 10.87%), credibility (AME: 10.67%), and quantity of information (AME: 10.42%). Conclusions: User experience and information clearly affect user ratings of drug reference apps. Five key factors should be considered when designing drug reference apps. |
| first_indexed | 2024-03-10T08:41:21Z |
| format | Article |
| id | doaj.art-cc5024327c17479f9b05c8ef25813429 |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-10T08:41:21Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-cc5024327c17479f9b05c8ef258134292023-11-22T08:19:26ZengMDPI AGJournal of Personalized Medicine2075-44262021-08-0111879010.3390/jpm11080790Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in TaiwanYu-Chun Chen0Wei-Wei Liao1Mei-Chin Su2Yen-Hsi Lin3Department of Family Medicine, Taipei Veterans General Hospital, Taipei 112, TaiwanInstitute of Hospital and Health Care Administration, National Yang-Ming Chiao Tung University, Taipei 112, TaiwanDepartment of Nursing, Taipei Veterans General Hospital, Taipei 112, TaiwanSchool of Medicine, National Yang Ming Chiao Tung University, Taipei 112, TaiwanBackground: Drug reference apps promote self-management and improve the efficiency and quality of work for physicians, nurses, pharmacists, and patients. This study aimed to describe a systematic and stepwise process to identify drug reference apps in Taiwan, assess the quality of these apps, and analyze the influential factors for user ratings. Methods: A two-step algorithm (KESS) consisting of keyword growing and systematic search was proposed. Seven independent reviewers were trained to evaluate these apps using Mobile App Rating Scale (MARS). A logistic regression model was fitted and average marginal effects (AME) were calculated to identify the effects of factors for higher user ratings. Results: A total of 23 drug reference apps in Taiwan were identified and analyzed. Generally, these drug reference apps were evaluated as acceptable quality with an average MARS score of 3.23. Higher user engagement, more functionality, better aesthetics, and more information associated with higher user ratings. Navigation is the most influential factor on higher user ratings (AME: 13.15%) followed by performance (AME: 11.03%), visual appeal (AME: 10.87%), credibility (AME: 10.67%), and quantity of information (AME: 10.42%). Conclusions: User experience and information clearly affect user ratings of drug reference apps. Five key factors should be considered when designing drug reference apps.https://www.mdpi.com/2075-4426/11/8/790drug reference appkeyword growing and systematic searchMobile App Rating Scale |
| spellingShingle | Yu-Chun Chen Wei-Wei Liao Mei-Chin Su Yen-Hsi Lin Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan Journal of Personalized Medicine drug reference app keyword growing and systematic search Mobile App Rating Scale |
| title | Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan |
| title_full | Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan |
| title_fullStr | Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan |
| title_full_unstemmed | Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan |
| title_short | Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan |
| title_sort | personalized and self management systematic search and evaluation quality factors and user preference of drug reference apps in taiwan |
| topic | drug reference app keyword growing and systematic search Mobile App Rating Scale |
| url | https://www.mdpi.com/2075-4426/11/8/790 |
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