Alessandro Rodolico, Antonio Di Francesco, Pierfelice Cutrufelli, Irene Bighelli, Pasquale Caponnetto, Carmen Concerto, Davide Conti, Rosaria Furnari, Gabriele Leotta, Ludovico Mineo, Antonino Messina, Katharina Müller, Antonino Petralia, Maria Catena Quattropani, Spyridon Siafis, Stefan Leucht, Maria Salvina Signorelli
{"title":"开发 STEP-SE:在精神分裂症谱系障碍护理共同决策中管理副作用的新型患者报告结果工具的定性可用性研究。","authors":"Alessandro Rodolico, Antonio Di Francesco, Pierfelice Cutrufelli, Irene Bighelli, Pasquale Caponnetto, Carmen Concerto, Davide Conti, Rosaria Furnari, Gabriele Leotta, Ludovico Mineo, Antonino Messina, Katharina Müller, Antonino Petralia, Maria Catena Quattropani, Spyridon Siafis, Stefan Leucht, Maria Salvina Signorelli","doi":"10.1111/hex.70019","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Schizophrenia treatment with antipsychotics often results in side effects that impact adherence and quality of life. Managing these effects remains challenging, as it requires balancing efficacy and tolerability. The Schizophrenia Technological Evaluation of Patient Side Effects (STEP-SE) app aims to aid side effects monitoring and management through shared decision-making (SDM).</p>\n </section>\n \n <section>\n \n <h3> Aim</h3>\n \n <p>This study aimed to evaluate the usability of the STEP-SE app for patients and clinicians in managing antipsychotic side effects.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Sixteen stable outpatients and 14 psychiatrists participated in semi-structured interviews after using the STEP-SE app. Questions explored ease of use, information clarity, user needs fulfilment, patient–clinician collaboration, treatment adherence improvement, patient empowerment and clinical utility. Data were analysed thematically.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Overall satisfaction with STEP-SE was high. Both groups found that the tool improved patient involvement, provided reliable information to enhance therapeutic alliance, posed low risks of misunderstanding and had an intuitive interface. Patients felt more motivated and empowered. Clinicians appreciated guideline consistency. Preferences differed regarding data visualization formats.</p>\n </section>\n \n <section>\n \n <h3> Discussion</h3>\n \n <p>STEP-SE shows potential for aiding SDM on antipsychotic side effects. Patients gained motivation, and clinicians felt reassured. Refinements around mobile access, graphics and features could augment utility. Generalizability is limited given the stable patient sample.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Preliminary findings suggest that STEP-SE effectively engages patients, empowers them and supports clinicians in collaborative side effect management. Further testing with diverse user groups is warranted.</p>\n </section>\n \n <section>\n \n <h3> Patient or Public Contribution</h3>\n \n <p>The current study was designed to gather patient and public feedback for the development of our decision aid tool, STEP-SE. Participants interacted with the tool's prototype in interactive sessions, providing insights and identifying technical issues. Their feedback was crucial for enhancing the tool, with each suggestion and bug report carefully considered for future iterations. The participants’ contributions were key in optimizing STEP-SE's features and ensuring its relevance and reliability. We thank all who shared their time and perspectives, significantly shaping the tool's user-centred design.</p>\n </section>\n </div>","PeriodicalId":55070,"journal":{"name":"Health Expectations","volume":"27 6","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hex.70019","citationCount":"0","resultStr":"{\"title\":\"Developing STEP-SE: A Qualitative Usability Study of a Novel Patient-Reported Outcomes Tool for Managing Side Effects in Shared Decision-Making for Schizophrenia Spectrum Disorder Care\",\"authors\":\"Alessandro Rodolico, Antonio Di Francesco, Pierfelice Cutrufelli, Irene Bighelli, Pasquale Caponnetto, Carmen Concerto, Davide Conti, Rosaria Furnari, Gabriele Leotta, Ludovico Mineo, Antonino Messina, Katharina Müller, Antonino Petralia, Maria Catena Quattropani, Spyridon Siafis, Stefan Leucht, Maria Salvina Signorelli\",\"doi\":\"10.1111/hex.70019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Schizophrenia treatment with antipsychotics often results in side effects that impact adherence and quality of life. Managing these effects remains challenging, as it requires balancing efficacy and tolerability. The Schizophrenia Technological Evaluation of Patient Side Effects (STEP-SE) app aims to aid side effects monitoring and management through shared decision-making (SDM).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Aim</h3>\\n \\n <p>This study aimed to evaluate the usability of the STEP-SE app for patients and clinicians in managing antipsychotic side effects.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Sixteen stable outpatients and 14 psychiatrists participated in semi-structured interviews after using the STEP-SE app. Questions explored ease of use, information clarity, user needs fulfilment, patient–clinician collaboration, treatment adherence improvement, patient empowerment and clinical utility. Data were analysed thematically.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Overall satisfaction with STEP-SE was high. Both groups found that the tool improved patient involvement, provided reliable information to enhance therapeutic alliance, posed low risks of misunderstanding and had an intuitive interface. Patients felt more motivated and empowered. Clinicians appreciated guideline consistency. Preferences differed regarding data visualization formats.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Discussion</h3>\\n \\n <p>STEP-SE shows potential for aiding SDM on antipsychotic side effects. Patients gained motivation, and clinicians felt reassured. Refinements around mobile access, graphics and features could augment utility. Generalizability is limited given the stable patient sample.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Preliminary findings suggest that STEP-SE effectively engages patients, empowers them and supports clinicians in collaborative side effect management. Further testing with diverse user groups is warranted.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Patient or Public Contribution</h3>\\n \\n <p>The current study was designed to gather patient and public feedback for the development of our decision aid tool, STEP-SE. Participants interacted with the tool's prototype in interactive sessions, providing insights and identifying technical issues. Their feedback was crucial for enhancing the tool, with each suggestion and bug report carefully considered for future iterations. The participants’ contributions were key in optimizing STEP-SE's features and ensuring its relevance and reliability. 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Developing STEP-SE: A Qualitative Usability Study of a Novel Patient-Reported Outcomes Tool for Managing Side Effects in Shared Decision-Making for Schizophrenia Spectrum Disorder Care
Background
Schizophrenia treatment with antipsychotics often results in side effects that impact adherence and quality of life. Managing these effects remains challenging, as it requires balancing efficacy and tolerability. The Schizophrenia Technological Evaluation of Patient Side Effects (STEP-SE) app aims to aid side effects monitoring and management through shared decision-making (SDM).
Aim
This study aimed to evaluate the usability of the STEP-SE app for patients and clinicians in managing antipsychotic side effects.
Methods
Sixteen stable outpatients and 14 psychiatrists participated in semi-structured interviews after using the STEP-SE app. Questions explored ease of use, information clarity, user needs fulfilment, patient–clinician collaboration, treatment adherence improvement, patient empowerment and clinical utility. Data were analysed thematically.
Results
Overall satisfaction with STEP-SE was high. Both groups found that the tool improved patient involvement, provided reliable information to enhance therapeutic alliance, posed low risks of misunderstanding and had an intuitive interface. Patients felt more motivated and empowered. Clinicians appreciated guideline consistency. Preferences differed regarding data visualization formats.
Discussion
STEP-SE shows potential for aiding SDM on antipsychotic side effects. Patients gained motivation, and clinicians felt reassured. Refinements around mobile access, graphics and features could augment utility. Generalizability is limited given the stable patient sample.
Conclusion
Preliminary findings suggest that STEP-SE effectively engages patients, empowers them and supports clinicians in collaborative side effect management. Further testing with diverse user groups is warranted.
Patient or Public Contribution
The current study was designed to gather patient and public feedback for the development of our decision aid tool, STEP-SE. Participants interacted with the tool's prototype in interactive sessions, providing insights and identifying technical issues. Their feedback was crucial for enhancing the tool, with each suggestion and bug report carefully considered for future iterations. The participants’ contributions were key in optimizing STEP-SE's features and ensuring its relevance and reliability. We thank all who shared their time and perspectives, significantly shaping the tool's user-centred design.
期刊介绍:
Health Expectations promotes critical thinking and informed debate about all aspects of patient and public involvement and engagement (PPIE) in health and social care, health policy and health services research including:
• Person-centred care and quality improvement
• Patients'' participation in decisions about disease prevention and management
• Public perceptions of health services
• Citizen involvement in health care policy making and priority-setting
• Methods for monitoring and evaluating participation
• Empowerment and consumerism
• Patients'' role in safety and quality
• Patient and public role in health services research
• Co-production (researchers working with patients and the public) of research, health care and policy
Health Expectations is a quarterly, peer-reviewed journal publishing original research, review articles and critical commentaries. It includes papers which clarify concepts, develop theories, and critically analyse and evaluate specific policies and practices. The Journal provides an inter-disciplinary and international forum in which researchers (including PPIE researchers) from a range of backgrounds and expertise can present their work to other researchers, policy-makers, health care professionals, managers, patients and consumer advocates.