4.4 Article

How a point-of-care dashboard facilitates co-production of health care and health for and with individuals with psychotic disorders: a mixed-methods case study

Journal

BMC HEALTH SERVICES RESEARCH
Volume 22, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12913-022-08992-2

Keywords

Coproduction; Learning health systems; Schizophrenia; Psychosis

Funding

  1. Joenkoeping University

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The study found that the use of a dashboard was associated with better patient health outcomes, with patients at clinics using the dashboard experiencing significant improvement in functional impairment and disability. Case managers also had a positive experience using the dashboard, noting its support for data feedback and proactive approach to addressing patients' health changes.
Background: Individuals with psychotic disorders experience widespread treatment failures and risk early death. Sweden's largest department specializing in psychotic disorders sought to improve patients' health by developing a point-of-care dashboard to support joint planning and co-production of care. The dashboard was tested for 18 months and included more than 400 patients at two outpatient clinics. Methods: This study evaluates the dashboard by addressing two questions: 1) Can differences in health-related outcome measures be attributed to the use of the dashboard? 2) How did the case managers experience the accessibility, use, and usefulness of the dashboard for co-producing care with individuals with psychotic disorders? This mixed-method case study used both Patient-Reported Outcome Measures (PROM) and data from a focus group interview with case managers. Data collection and analysis were framed by the Clinical Adoption Meta Model (CAMM) phases: i) accessibility, ii) system use, iii) behavior, and iv) clinical outcomes. The PROM used was the 12-item World Health Organization Disability Assessment Schedule (WHODAS 2.0), which assesses functional impairment and disability. Patients at clinics using the dashboard were matched with patients at clinics not using the dashboard. PROM data were compared using non-parametric statistics due to skewness in distribution. The focus group included five case managers who had experience using the dashboard with patients. Results: Compared to patients from clinics that did not use the dashboard, patients from clinics that did use the dashboard improved significantly overall (p = 0.045) and in the domain self-care (p = 0.041). Focus group participants reported that the dashboard supported data feedback-informed care and a proactive stance related to changes in patients' health. The dashboard helped users identify critical changes and enabled joint planning and evaluation. Conclusion: Dashboard use was related to better patient health (WHODAS scores) when compared with matched patients from clinics that did not use the dashboard. In addition, case managers had a positive experience using the dashboard. Dashboard use might have lowered the risk for missing critical changes in patients' health while increasing the ability to proactively address needs. Future studies should investigate how to enhance patient co-production through use of supportive technologies.

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