A Mobile Health Intervention to Support Collaborative Decision-Making in Mental Health Care: Development and Usability

被引:0
|
作者
Romm, Kristin Lie [1 ,2 ]
Skoge, Mari [1 ]
Barrett, Elizabeth Ann [1 ]
Berentzen, Lars-Christian [3 ]
Bergsager, Dagfinn [4 ]
Fugelli, Pal [4 ]
Bjella, Thomas [2 ,5 ]
Gardsjord, Erlend Strand [3 ]
Kling, Kristine [1 ]
Kruse, Sindre Hembre [1 ]
Kvaerner, Kari Jorunn [6 ,7 ]
Melle, Ingrid [2 ,8 ]
Mork, Erlend [1 ]
Ihler, Henrik Myhre [9 ]
Rognli, Eline Borger [10 ]
Simonsen, Carmen [1 ]
Vaernes, Tor Gunnar [1 ]
Aminoff, Sofie Ragnhild [1 ]
机构
[1] Oslo Univ Hosp, Div Mental Hlth & Addict, Early Intervent Psychosis Advisory Unit South East, Sognsvannsveien 21, N-0372 Oslo, Norway
[2] Univ Oslo, Inst Clin Med, Oslo, Norway
[3] Oslo Univ Hosp, Div Mental Hlth & Addict, Sect Treatment Early Psychosis, Oslo, Norway
[4] Univ Oslo, Univ Ctr Informat Technol, Oslo, Norway
[5] Oslo Univ Hosp, Dept Res & Innovat, Div Mental Hlth & Addict, Oslo, Norway
[6] Oslo Univ Hosp, Ctr Connected Care C3, Oslo, Norway
[7] BI Norwegian Business Sch, Oslo, Norway
[8] Oslo Univ Hosp, Div Mental Hlth & Addict, Sect Clin Psychosis Res, Oslo, Norway
[9] Oslo Univ Hosp, Div Mental Hlth & Addict, Nydalen DPS, Oslo, Norway
[10] Oslo Univ Hosp, Div Mental Hlth & Addict, Sect Clin Addict Res, Oslo, Norway
关键词
eHealth; shared decision-making; user involvement; user-centered design; mental disorder; mobiletechnology; illness course; recovery; mobile apps; mHealth; REPORTED OUTCOME MEASURES; BIPOLAR DISORDER; SCHIZOPHRENIA; COMMUNICATION; RECOVERY; ANTIPSYCHOTICS; FRAMEWORK; TOOL;
D O I
10.2196/57614
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Shared decision-making between clinicians and service users is crucial in mental health care. One significant barrier to achieving this goal is the lack of user-centered services. Integrating digital tools into mental health services holds promise for addressing some of these challenges. However, the implementation of digital tools, such as mobile apps, remains limited, and attrition rates for mental health apps aretypically high. Design thinking can support the development of tools tailored to the needs of service users and clinicians. Objective: This study aims to develop and beta test a digital tool designed for individuals with severe mental disorders or substance use disorders to facilitate shared decision-making on treatment goals and strategies within mental health services. Methods: We used a user-centered design approach to develop iTandem, an app facilitating collaborative treatment between service users and clinicians. Through qualitative interviews and workshops, we engaged 6 service users with severe mental disorders or substance use disorders, 6 clinicians, and 1 relative to identify and design relevant app modules. A beta test of iTandem was conducted to refine the app and plan for a pilot trial in a clinical setting. After 6 weeks of app use, 5 clinicians and 4 service users were interviewed to provide feedback on the concept, implementation, and technical issues. Safety and ethical considerations were thoroughly discussed and addressed. Results: To avoid overload for the service users, we applied a pragmatic take on module content and size. Thus, iTandem includes the following 8 modules, primarily based on the needs of service users and clinicians: Sleep (sleep diary), Medication (intake and side effects), Recovery (measures, including well-being and personal recovery, and exercises, including good things and personal strengths), Mood (mood diary and report of daily feelings), Psychosis (level of positive symptoms and their consequences and level of negativesymptoms),Activity (goal settingand progress), Substance use (weekly use, potential triggers or strategiesused to abstain), and Feedback on therapy (of individual sessions and overall rating of the past week). For the beta testing, service users and clinicians collaborated in choosing 2-3 modules in iTandem to work with during treatment sessions. The testing showed that the app was well received by service users, and that facilitation for implementation is crucial. Conclusions: iTandem and similar apps have the potentialto enhance treatment outcomes by facilitating shared decision-making and tailoring treatment to the needs of service users. However, successful implementation requires thorough testing, iterative development, and evaluations of both utility and treatment effects. There is a critical need to focus on how technology integrates into clinical settings-from development to implementation-and to conduct further research on early health technology assessments to guide these processes.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Health care decision-making by adults with mental retardation
    Cea, CD
    Fisher, CB
    MENTAL RETARDATION, 2003, 41 (02): : 78 - 87
  • [2] Collaborative Deterministic and Stochastic Decision-Making Models in Health Care
    Shmelova, Tetiana
    Salem, Abdel-Badeeh M.
    Smolanka, Volodymyr
    Sechko, Oleksandr
    IDDM 2020: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INFORMATICS & DATA-DRIVEN MEDICINE, 2020, 2753
  • [3] An end to coercion: rights and decision-making in mental health care
    Sugiura, Kanna
    Mahomed, Faraaz
    Saxena, Shekhar
    Patel, Vikram
    BULLETIN OF THE WORLD HEALTH ORGANIZATION, 2020, 98 (01) : 52 - 58
  • [4] Clinical decision-making for 'as needed' medications in mental health care
    Usher, Kim
    Baker, John A.
    Holmes, Colin
    Stocks, Belinda
    JOURNAL OF ADVANCED NURSING, 2009, 65 (05) : 981 - 991
  • [5] THE LIBRARY AS A RESOURCE FOR DECISION-MAKING IN MENTAL-HEALTH-CARE
    JOHNSON, M
    PSYCHIATRIC SERVICES, 1995, 46 (05) : 493 - 495
  • [6] Patient Involvement and Shared Decision-Making in Mental Health Care
    Perestelo-Perez, Lilisbeth
    Gonzalez-Lorenzo, Marien
    Perez-Ramos, Jeanette
    Rivero-Santana, Amado
    Serrano-Aguilar, Pedro
    CURRENT CLINICAL PHARMACOLOGY, 2011, 6 (02): : 83 - 90
  • [7] Influence of lay conceptions of health and illness on health care decision-making: Implications for the development of technological support
    Cytryn, KN
    Patel, VL
    Cimino, JJ
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1999, : 1043 - 1043
  • [8] SHARED DECISION-MAKING IN MENTAL HEALTH
    Taylor, M.
    AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, 2019, 53 : 78 - 78
  • [9] Engaging consumers and health professionals in collaborative decision-making to optimize care
    Wu, Chiung-Jung
    Giles, Megan
    Terblanche, Morne
    Drabble, Anne
    NURSING & HEALTH SCIENCES, 2022, 24 (01) : 73 - 77
  • [10] Decision-making styles and their associations with decision-making competencies and mental health
    Bavol'ar, Jozef
    Orosova, Ol'ga
    JUDGMENT AND DECISION MAKING, 2015, 10 (01): : 115 - 122