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.

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

Rodolico, Alessandro
;
Di Francesco, Antonio;Cutrufelli, Pierfelice;Caponnetto, Pasquale;Concerto, Carmen;Conti, Davide;Furnari, Rosaria;Mineo, Ludovico;Messina, Antonino;Petralia, Antonino;Quattropani, Maria Catena;Signorelli, Maria Salvina
2024-01-01

Abstract

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.
2024
antipsychotics
digital decision aids
qualitative
schizophrenia
shared decision‐making
side effects
usability
File in questo prodotto:
File Dimensione Formato  
Rodolico, 2024, 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.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.91 MB
Formato Adobe PDF
1.91 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/641876
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact