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A mobile health application for patients eligible for statin therapy: app development and qualitative feedback on design and usability.
Cao, Weidan; Li, Lang; Mathur, Puneet; Thompson, John; Milks, M Wesley.
Afiliação
  • Cao W; Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA. mail.weidan@gmail.com.
  • Li L; Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA.
  • Mathur P; Department of Research Information Technology, College of Medicine, The Ohio State University, Columbus, OH, USA.
  • Thompson J; Department of Research Information Technology, College of Medicine, The Ohio State University, Columbus, OH, USA.
  • Milks MW; Division of Cardiovascular Medicine, The Ohio State University College of Medicine, Columbus, OH, USA.
BMC Med Inform Decis Mak ; 23(1): 128, 2023 07 19.
Article em En | MEDLINE | ID: mdl-37468892
BACKGROUND: Cardiovascular disease is the leading cause of death in the United States (US). Despite the well-recognized efficacy of statins, statin discontinuation rates remain high. Statin intolerance is a major cause of statin discontinuation. To accurately diagnose statin intolerance, healthcare professionals must distinguish between statin-associated and non-statin-associated muscle symptoms, because many muscle symptoms can be unrelated to statin therapy. Patients' feedback on muscle-related symptoms would help providers make decisions about statin treatment. Given the potential benefits and feasibility of existing apps for cardiovascular disease (CVD) management and the unmet need for an app specifically addressing statin intolerance management, the objectives of the study were 1) to describe the developmental process of a novel app designed for patients who are eligible for statin therapy to lower the risk of CVD; 2) to explore healthcare providers' feedback of the app; and 3) to explore patients' app usage experience. METHODS: The app was developed by an interdisciplinary team. Healthcare provider participants and patient participants were recruited in the study. Providers were interviewed to provide their feedback about the app based on screenshots of the app. Patients were interviewed after a 30 days of app usage. RESULTS: The basic features of the app included symptom logging, vitals tracking, patient education, and push notifications. Overall, both parties provided positive feedback about the app. Areas to be improved mentioned by both parties included: the pain question asked in symptom tracking and the patient education section. Both parties agreed that it was essential to add the trend report of the logged symptoms. CONCLUSIONS: The results indicated that providers were willing to use patient-reported data for disease management and perceived that the app had the potential to facilitate doctor-patient communication. Results also indicated that user engagement is the key to the success of app efficacy. To promote app engagement, app features should be tailored to individual patient's needs and goals. In the future, after it is upgraded, we plan to test the app usability and feasibility among a more diverse sample.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Telemedicina / Inibidores de Hidroximetilglutaril-CoA Redutases / Aplicativos Móveis Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Telemedicina / Inibidores de Hidroximetilglutaril-CoA Redutases / Aplicativos Móveis Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido