Exploring the Role of Complexity in Health Care Technology Bottom-Up Innovations: Multiple-Case Study Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability Complexity Assessment Tool.

BACKGROUND: New digital technology presents new challenges to health care on multiple levels. There are calls for further research that considers the complex factors related to digital innovations in complex health care settings to bridge the gap when moving from linear, logistic research to embracing and testing the concept of complexity. The nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework was developed to help study complexity in digital innovations. OBJECTIVE: This study aims to investigate the role of complexity in the development and deployment of innovations by retrospectively assessing challenges to 4 digital health care innovations initiated from the bottom up. METHODS: A multicase retrospective, deductive, and explorative analysis using the NASSS complexity assessment tool LONG was conducted. In total, 4 bottom-up innovations developed in Region Västra Götaland in Sweden were explored and compared to identify unique and shared complexity-related challenges. RESULTS: The analysis resulted in joint insights and individual learning. Overall, the complexity was mostly found outside the actual innovation; more specifically, it related to the organization's readiness to integrate new innovations, how to manage and maintain innovations, and how to finance them. The NASSS framework sheds light on various perspectives that can either facilitate or hinder the adoption, scale-up, and spread of technological innovations. In the domain of condition or diagnosis, a well-informed understanding of the complexity related to the condition or illness (diabetes, cancer, bipolar disorders, and schizophrenia disorders) is of great importance for the innovation. The value proposition needs to be clearly described early to enable an understanding of costs and outcomes. The questions in the NASSS complexity assessment tool LONG were sometimes difficult to comprehend, not only from a language perspective but also due to a lack of understanding of the surrounding organization's system and its setting. CONCLUSIONS: Even when bottom-up innovations arise within the same support organization, the complexity can vary based on the developmental phase and the unique characteristics of each project. Identifying, defining, and understanding complexity may not solve the issues but substantially improves the prospects for successful deployment. Successful innovation within complex organizations necessitates an adaptive leadership and structures to surmount cultural resistance and organizational impediments. A rigid, linear, and stepwise approach risks disregarding interconnected variables and dependencies, leading to suboptimal outcomes. Success lies in embracing the complexity with its uncertainty, nurturing creativity, and adopting a nonlinear methodology that accommodates the iterative nature of innovation processes within complex organizations.

Increasing person-centeredness in psychosis inpatient care: care consumption before and after a person-centered care intervention.

BACKGROUND: Patients with psychotic disorders often need hospitalization with long stays. Person-centered care (PCC) has been shown to improve care quality and decrease the length of hospital stay in non-psychiatric settings. We carried out an educational intervention for inpatient staff, aiming to increase person-centeredness at a major Swedish psychosis clinic. The aim of this study was to test if the intervention could be associated with decreased length of hospital stay (LoS), involuntary stay (LoIS), and reduction in rapid readmissions. METHODS: Data from the clinic's administrative registry were compared for patients with a discharge diagnosis within the schizophrenia-spectrum treated during the one-year periods before and after the PCC intervention. RESULTS: Contrary to our hypotheses, a quantile regression estimated longer LoS post-intervention, median difference 10.4 d (CI 4.73-16.10). Neither age, sex nor diagnostic category were associated with LoS. Of all inpatient days, ∼80% were involuntary. While LoIS was numerically longer post-intervention, the difference did not reach significance in the final regression model (median difference 7.95 d, CI -1.40 to 17.31). Proportions with readmission within 2 weeks of discharge did not differ (7.7% vs 5.2%, n.s.). CONCLUSIONS: Increased length of inpatient care was observed after the PCPC intervention. This could reflect an increased focus on the unmet needs of persons with serious psychotic conditions, but it needs to be explored in future research using a more rigorous study design. TRIAL REGISTRATION: This study is part of a larger evaluation of Person-Centered Psychosis Care (PCPC), registered during data collection (after the study start, before analysis) at clinicaltrials.gov, identifier NCT03182283.

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.

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.

Digitally excluded in a highly digitalized country: An investigation of Swedish outpatients with psychotic disorders and functional impairments

Access to digital devices and digital services increases accessibility to mental health services. We investigated access to smartphones and digital identification methods (digital-IDs) in an outpatient unit focusing on patients with psychotic disorders and functional impairments. Patients’ case managers completed an online anonymous survey. Most patients (85%) did not have digitalIDs, which is required in Sweden to access digital health care. High age and living in assisted living facilities influenced patients' access to smartphones and digitalID negatively. Even in a highly digitalized society, outpatients with psychotic disorders and functional impairments have much less access to digital technology than the population on average. (AU)

Digitally Mediated Schizophrenia Care - A Swedish Case of Translating, Designing and Expert Evaluation of Dialog.

This work presents initial results of translation, design, development and expert testing of a digitally mediated dialogue based tool for schizophrenia care in Sweden. Dialog+ is a conversational methodology that has been shown to empower patients, promote co-produced and more cost-effective care. Dialog+ was translated and the digital application was redesigned to fit with the local context using human-centered design principles. Initial results of expert user testing, using heuristic evaluations and cognitive walkthroughs, shows promise for the method to work well also in Swedish settings. Initial testing with patients shows promising results. This work exemplifies how care patterns can be improved by considering the information layer of the interaction and creating shared and collaborative working spaces during treatment sessions can help to both empower patients and facilitate a more co-produced treatment plan.

Elevated pulse pressure and its associations with demographic and clinical parameters in a clinically representative sample of outpatients with psychotic disorders.

Elevated pulse pressure is associated with metabolic and neurocognitive diseases. Preliminary small-scale studies among patients with psychotic disorders have indicated that these patients had an increased pulse pressure compared with controls. However, it is unclear whether and how these associations are manifested among larger heterogenous samples of patients with psychotic disorders. We examined elevated pulse pressure and its associations with demographic and clinical characteristics in a clinically representative sample of outpatients with psychotic disorders (n = 1289). In a subsample (n = 343), we also examined associations with six domains of functioning. Controlling for age and cardiovascular disease, body mass index (BMI) and employment status independently predicted the odds ratio of having elevated pulse pressure. Elevated pulse pressure was also primarily associated with the physical domains of functioning. Outpatients with psychotic disorders that have high BMI and are unemployed thus seem to be at increased risk for elevated pulse pressure and should therefore be particularly considered for blood pressure screenings.

The role of co-production in Learning Health Systems.

BACKGROUND: Co-production of health is defined as 'the interdependent work of users and professionals who are creating, designing, producing, delivering, assessing, and evaluating the relationships and actions that contribute to the health of individuals and populations'. It can assume many forms and include multiple stakeholders in pursuit of continuous improvement, as in Learning Health Systems (LHSs). There is increasing interest in how the LHS concept allows integration of different knowledge domains to support and achieve better health. Even if definitions of LHSs include engaging users and their family as active participants in aspects of enabling better health for individuals and populations, LHS descriptions emphasize technological solutions, such as the use of information systems. Fewer LHS texts address how interpersonal interactions contribute to the design and improvement of healthcare services. OBJECTIVE: We examined the literature on LHS to clarify the role and contributions of co-production in LHS conceptualizations and applications. METHOD: First, we undertook a scoping review of LHS conceptualizations. Second, we compared those conceptualizations to the characteristics of LHSs first described by the US Institute of Medicine. Third, we examined the LHS conceptualizations to assess how they bring four types of value co-creation in public services into play: co-production, co-design, co-construction and co-innovation. These were used to describe core ideas, as principles, to guide development. RESULT: Among 17 identified LHS conceptualizations, 3 qualified as most comprehensive regarding fidelity to LHS characteristics and their use in multiple settings: (i) the Cincinnati Collaborative LHS Model, (ii) the Dartmouth Coproduction LHS Model and (iii) the Michigan Learning Cycle Model. These conceptualizations exhibit all four types of value co-creation, provide examples of how LHSs can harness co-production and are used to identify principles that can enhance value co-creation: (i) use a shared aim, (ii) navigate towards improved outcomes, (iii) tailor feedback with and for users, (iv) distribute leadership, (v) facilitate interactions, (vi) co-design services and (vii) support self-organization. CONCLUSIONS: The LHS conceptualizations have common features and harness co-production to generate value for individual patients as well as for health systems. They facilitate learning and improvement by integrating supportive technologies into the sociotechnical systems that make up healthcare. Further research on LHS applications in real-world complex settings is needed to unpack how LHSs are grown through coproduction and other types of value co-creation.

Clinical validity of the 12-item WHODAS-2.0 in a naturalistic sample of outpatients with psychotic disorders.

BACKGROUND: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS-2.0) is a self-administered instrument to assess functional impairment. It is used in the general population as well as different patient groups. However, its application to patients with psychotic disorders may be hampered by disease-specific difficulties of self-estimation. This study aimed to examine the psychometric properties of the short (12-item) WHODAS-2.0 in a naturalistic sample of outpatients attending a psychosis clinic in Gothenburg, Sweden. METHODS: Annual data from two outpatient clinics registered 2016-2019 were analyzed retrospectively. The assessment of the short WHODAS-2.0 was based on the first questionnaire completed by 881 patients. Confirmatory factor analysis evaluated previously validated models. Item convergent and discriminant validity as well as internal reliability were computed. Construct validity was assessed by comparing mean differences in accord with previous research regarding patients' characteristics associated with functioning such as advanced age, diagnosed comorbidities, antipsychotic treatment status, and symptom severity measured with PANSS-8 remission items. RESULTS: A heterogeneous sample was obtained in terms of age (range: 20-92), various living situations, and different geographic areas of birth. Most patients (75%) had been diagnosed with psychotic disorders more than 10 years ago and the majority (89%) were on antipsychotic medication. We confirmed an adjusted two-level factor model with a single second-order disability factor and six first-order factors representing the six IFC dimensions. The WHODAS-2.0 sum score measuring general disability showed good reliability (Cronbach's alpha = 0.89). Construct validity was confirmed as older patients, patients with comorbidities, and patients in assisted living had higher WHODAS-2.0 scores. Patients with no or mild psychotic symptoms had significantly lower WHODAS-2.0 sum scores than patients with more severe symptoms. CONCLUSIONS: The findings further validate the 12-item WHODAS-2.0 in a naturalistic sample of outpatients with psychotic disorders. This study corroborates the clinical significance of the short, 12-item WHODAS-2.0 by demonstrating consistent associations between patients' age, medical comorbidities, living situation, antipsychotic treatment status, and psychotic symptom severity.

The NASSS-CAT Tools for Understanding, Guiding, Monitoring, and Researching Technology Implementation Projects in Health and Social Care: Protocol for an Evaluation Study in Real-World Settings.

BACKGROUND: Projects to implement health care and social care innovations involving technologies are typically ambitious and complex. Many projects fail. Greenhalgh et al's nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework was developed to analyze the varied outcomes of such projects. OBJECTIVE: We sought to extend the NASSS framework to produce practical tools for understanding, guiding, monitoring, and researching technology projects in health care or social care settings. METHODS: Building on NASSS and a complexity assessment tool (CAT), the NASSS-CAT tools were developed (in various formats) in seven co-design workshops involving 50 stakeholders (industry executives, technical designers, policymakers, managers, clinicians, and patients). Using action research, they were and are being tested prospectively on a sample of case studies selected for variety in conditions, technologies, settings, scope and scale, policy context, and project goals. RESULTS: The co-design process resulted in four tools, available as free downloads. NASSS-CAT SHORT is a taster to introduce the instrument and gauge interest. NASSS-CAT LONG is intended to support reflection, due diligence, and preliminary planning. It maps complexity through stakeholder discussion across six domains, using free-text open questions (designed to generate a rich narrative and surface uncertainties and interdependencies) and a closed-question checklist; this version includes an action planning section. NASSS-CAT PROJECT is a 35-item instrument for monitoring how subjective complexity in a technology implementation project changes over time. NASSS-CAT INTERVIEW is a set of prompts for conducting semistructured research or evaluation interviews. Preliminary data from empirical case studies suggest that the NASSS-CAT tools can potentially identify, but cannot always help reconcile, contradictions and conflicts that block projects' progress. CONCLUSIONS: The NASSS-CAT tools are a useful addition to existing implementation tools and frameworks. Further support of the implementation projects is ongoing. We are currently producing digital versions of the tools, and plan (subject to further funding) to establish an online community of practice for people interested in using and improving the tools, and hold workshops for building cross-project collaborations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/16861.

Using Complexity Assessment to Inform the Development and Deployment of a Digital Dashboard for Schizophrenia Care: Case Study.

BACKGROUND: Health care is becoming more complex. For an increasing number of individuals, interacting with health care means addressing more than just one illness or disorder, engaging in more than one treatment, and interacting with more than one care provider. Individuals with severe mental illnesses such as schizophrenia are disproportionately affected by this complexity. Characteristic symptoms can make it harder to establish and maintain relationships. Treatment failure is common even where there is access to effective treatments, increasing suicide risk. Knowledge of complex adaptive systems has been increasingly recognized as useful in understanding and developing health care. A complex adaptive system is a collection of interconnected agents with the freedom to act based on their own internalized rules, affecting each other. In a complex health care system, relevant feedback is crucial in enabling continuous learning and improvement on all levels. New technology has potential, but the failure rate of technology projects in health care is high, arguably due to complexity. The Nonadoption, Abandonment, and challenges to Scale-up, Spread, and Sustainability (NASSS) framework and complexity assessment tool (NASSS-CAT) have been developed specifically to help identify and manage complexity in technology-related development projects in health care. OBJECTIVE: This study aimed to use a pilot version of the NASSS-CAT instrument to inform the development and deployment of a point-of-care dashboard supporting schizophrenia care in west Sweden. Specifically, we report on the complexity profile of the project, stakeholders' experiences with using NASSS-CAT, and practical implications. METHODS: We used complexity assessment to structure data collection and feedback sessions with stakeholders, thereby informing an emergent approach to the development and deployment of the point-of-care dashboard. We also performed a thematic analysis, drawing on observations and documents related to stakeholders' use of the NASSS-CAT to describe their views on its usefulness. RESULTS: Application of the NASSS framework revealed different types of complexity across multiple domains, including the condition, technology, value proposition, organizational tasks and pathways, and wider system. Stakeholders perceived the NASSS-CAT tool as useful in gaining perspective and new insights, covering areas that might otherwise have been neglected. Practical implications derived from feedback sessions with managers and developers are described. CONCLUSIONS: This case study shows how stakeholders can identify and plan to address complexities during the introduction of a technological solution. Our findings suggest that NASSS-CAT can bring participants a greater understanding of complexities in digitalization projects in general.

Study protocol design and evaluation of a hospital-based multi-professional educational intervention: Person-Centred Psychosis Care (PCPC).

BACKGROUND: While patient involvement in mental health care is repeatedly stressed in policy documents, there are actually few studies that evaluate person-centred care interventions within psychiatric services. We present here the design and planned evaluation of an educational intervention for inpatient staff involved in the care of persons with schizophrenia and similar psychoses. METHODS/DESIGN: The care intervention will be assessed using a non-randomised trial with a before and after approach. The intervention involves an educational and experimental learning phase for hospital staff, followed by an implementation phase. The intervention is multi-professional; psychiatrists, psychiatric nurses, psychiatric carers, social workers, occupational therapists, and a medical secretary will be engaged in a participatory approach where they practice how to create a partnership and explore recovery-related goals together with patients. Patient-related outcomes include empowerment and satisfaction with care. Ward-level outcomes include daily ward burden, length of inpatient stay, and number of days with involuntary care. In addition, qualitative methods will be applied to capture patient, next-of-kin, and staff perspectives. DISCUSSION: The care intervention is expected to contribute to the improvement of inpatient care for persons with severe and complex mental health issues. TRIAL REGISTRATION: The trial was retrospectively registered at ClinicalTrials.gov June 9, 2017, identifier: NCT03182283 .