Lydia Sequeira, Iman Kassam, Jessica D'Arcey, Wenjia Zhou, Sana Junaid, Sherry Luo, Navi Boparai, Leah Tackaberry-Giddens, Sean Kidd
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Descriptive statistics were used to present user engagement data across each site implementation. Additionally, the lessons learned from each implementation were described narratively. Overall, 53 patients were onboarded to A4i in Context 1, 8 in Context 2, and 65 within Context 3, with retention rates over 90 days of 100%, 100%, and 96%, respectively. The adoption, engagement, and sustained use of the A4i platform varied across each implementation site and were affected by implementation strategies within the sociotechnical domains of people, culture, process, and technology. Despite differences in implementation processes, engagement with A4i remained consistently high. Customized educational materials, digital navigators, and technical support served as facilitators in the adoption of A4i.</p>","PeriodicalId":48679,"journal":{"name":"Translational Behavioral Medicine","volume":" ","pages":"896-902"},"PeriodicalIF":3.6000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10724108/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring contextual factors impacting the implementation of and engagement with a digital platform supporting psychosis recovery: A brief report.\",\"authors\":\"Lydia Sequeira, Iman Kassam, Jessica D'Arcey, Wenjia Zhou, Sana Junaid, Sherry Luo, Navi Boparai, Leah Tackaberry-Giddens, Sean Kidd\",\"doi\":\"10.1093/tbm/ibad070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Individuals with schizophrenia often demonstrate poor engagement in treatment and challenges with illness self-management. App4independence (A4i) is a digital health platform that was developed with the purpose of addressing the aforementioned challenges. While digital interventions can support patient care, there is a paucity of research on implementing such interventions in clinical settings. To describe the contextual factors that impacted the implementation of and engagement with A4i across three different clinical implementation sites, a descriptive approach, guided by implementation science frameworks, was employed to understand how people, culture, process, and technology impacted the implementation of A4i. Descriptive statistics were used to present user engagement data across each site implementation. Additionally, the lessons learned from each implementation were described narratively. Overall, 53 patients were onboarded to A4i in Context 1, 8 in Context 2, and 65 within Context 3, with retention rates over 90 days of 100%, 100%, and 96%, respectively. The adoption, engagement, and sustained use of the A4i platform varied across each implementation site and were affected by implementation strategies within the sociotechnical domains of people, culture, process, and technology. Despite differences in implementation processes, engagement with A4i remained consistently high. Customized educational materials, digital navigators, and technical support served as facilitators in the adoption of A4i.</p>\",\"PeriodicalId\":48679,\"journal\":{\"name\":\"Translational Behavioral Medicine\",\"volume\":\" \",\"pages\":\"896-902\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2023-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10724108/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational Behavioral Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/tbm/ibad070\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Behavioral Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/tbm/ibad070","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Exploring contextual factors impacting the implementation of and engagement with a digital platform supporting psychosis recovery: A brief report.
Individuals with schizophrenia often demonstrate poor engagement in treatment and challenges with illness self-management. App4independence (A4i) is a digital health platform that was developed with the purpose of addressing the aforementioned challenges. While digital interventions can support patient care, there is a paucity of research on implementing such interventions in clinical settings. To describe the contextual factors that impacted the implementation of and engagement with A4i across three different clinical implementation sites, a descriptive approach, guided by implementation science frameworks, was employed to understand how people, culture, process, and technology impacted the implementation of A4i. Descriptive statistics were used to present user engagement data across each site implementation. Additionally, the lessons learned from each implementation were described narratively. Overall, 53 patients were onboarded to A4i in Context 1, 8 in Context 2, and 65 within Context 3, with retention rates over 90 days of 100%, 100%, and 96%, respectively. The adoption, engagement, and sustained use of the A4i platform varied across each implementation site and were affected by implementation strategies within the sociotechnical domains of people, culture, process, and technology. Despite differences in implementation processes, engagement with A4i remained consistently high. Customized educational materials, digital navigators, and technical support served as facilitators in the adoption of A4i.
期刊介绍:
Translational Behavioral Medicine publishes content that engages, informs, and catalyzes dialogue about behavioral medicine among the research, practice, and policy communities. TBM began receiving an Impact Factor in 2015 and currently holds an Impact Factor of 2.989.
TBM is one of two journals published by the Society of Behavioral Medicine. The Society of Behavioral Medicine is a multidisciplinary organization of clinicians, educators, and scientists dedicated to promoting the study of the interactions of behavior with biology and the environment, and then applying that knowledge to improve the health and well-being of individuals, families, communities, and populations.