EPA guidance on the quality of mental health services: A systematic meta-review and update of recommendations focusing on care coordination

Effectiveness of care models for chronic disease management: A scoping review of systematic reviews

OBJECTIVE

To conduct a scoping review of models of care for chronic disease management to identify potentially effective components for management of chronic traumatic brain injury (TBI).

METHODS

Information sources: Systematic searches of three databases (Ovid MEDLINE, Embase, and Cochrane Database of Systematic Reviews) from January 2010 to May 2021.

ELIGIBILITY CRITERIA

Systematic reviews and meta-analyses reporting on the effectiveness of the Chronic Care Model (CCM), collaborative/integrated care, and other chronic disease management models.

DATA

Target diseases, model components used (n = 11), and six outcomes (disease-specific, generic health-related quality of life and functioning, adherence, health knowledge, patient satisfaction, and cost/health care use).

SYNTHESIS

Narrative synthesis, including proportion of reviews documenting outcome benefits.

RESULTS

More than half (55%) of the 186 eligible reviews focused on collaborative/integrated care models, with 25% focusing on CCM and 20% focusing on other chronic disease management models. The most common health conditions were diabetes (n = 22), depression (n = 16), heart disease (n = 12), aging (n = 11), and kidney disease (n = 8). Other single medical conditions were the focus of 22 reviews, multiple medical conditions of 59 reviews, and other or mixed mental health/behavioral conditions of 20 reviews. Some type of quality rating for individual studies was conducted in 126 (68%) of the reviews. Of reviews that assessed particular outcomes, 80% reported disease-specific benefits, and 57% to 72% reported benefits for the other five types of outcomes. Outcomes did not differ by the model category, number or type of components, or target disease.

CONCLUSIONS

Although there is a paucity of evidence for TBI per se, care model components proven effective for other chronic diseases may be adaptable for chronic TBI care.

Exploring key determinants of health among individuals with serious mental Illness: qualitative insights from a first episode psychosis cohort, 20 years postdiagnosis

BACKGROUND

Individuals with serious mental illness (SMI) are more likely to experience functional decline, low well-being, comorbidities, shorter lifespan, and diminished quality of life than the general population. This qualitative study explores determinants of health that individuals with SMI perceive as important to their health, well-being, and ability to live a meaningful life.

METHOD

We conducted interviews with 13 individuals with early detected first episode psychosis as part of a 20-year follow-up study of a larger cohort. Interview data were analyzed using qualitative content analysis.

RESULTS

Analysis identified two themes comprising eight categories representing determinants of health. The first theme reflected management of mental and physical health. Categories in this theme were: access to mental healthcare adapted to individual needs, strategies during deterioration, use of psychotropic medication, maintenance of physical health and lifestyle. The second theme reflected social health determinants in coping with mental illness and comprised three categories: family and friends, engaging in meaningful hobbies and activities, and the influence of employment on mental health.

CONCLUSIONS

Individuals with SMI outlined mental, physical, and social determinants of health that were important for their health, well-being, and ability to live a meaningful life. In future clinical practice, coordinated care addressing the complexity of health determinants will be important.

Realigning theory with evidence to understand the role of care coordination in mental health services research

Current theoretical models intended to guide health services research and evaluation lack care coordination-its features and impacts. These aspects are critical for understanding the role of care coordination in healthcare use, quality, and outcomes. In this Focus article, we briefly review the well-known Andersen individual behavioral model (IBM) of healthcare use and the Donabedian health system and quality model (HSQM) together with recent practice-based evidence. We propose a new integrated theoretical model of healthcare and care coordination. The model can serve as a guide for future research to better understand the variation in care coordination services and delivery and its added value to improving mental health in different real-world settings.

Care coordination across healthcare systems: development of a research agenda, implications for practice, and recommendations for policy based on a modified Delphi panel

OBJECTIVE

For large, integrated healthcare delivery systems, coordinating patient care across delivery systems with providers external to the system presents challenges. We explored the domains and requirements for care coordination by professionals across healthcare systems and developed an agenda for research, practice and policy.

DESIGN

The modified Delphi approach convened a 2-day stakeholder panel with moderated virtual discussions, preceded and followed by online surveys.

SETTING

The work addresses care coordination across healthcare systems. We introduced common care scenarios and differentiated recommendations for a large (main) healthcare organisation and external healthcare professionals that contribute additional care.

PARTICIPANTS

The panel composition included health service providers, decision makers, patients and care community, and researchers. Discussions were informed by a rapid review of tested approaches to fostering collaboration, facilitating care coordination and improving communication across healthcare systems.

OUTCOME MEASURES

The study planned to formulate a research agenda, implications for practice and recommendations for policy.

RESULTS

For research recommendations, we found consensus for developing measures of shared care, exploring healthcare professionals' needs in different care scenarios and evaluating patient experiences. Agreed practice recommendations included educating external professionals about issues specific to the patients in the main healthcare system, educating professionals within the main healthcare system about the roles and responsibilities of all involved parties, and helping patients better understand the pros and cons of within-system and out-of-system care. Policy recommendations included supporting time for professionals with high overlap in patients to engage regularly and sustaining support for care coordination for high-need patients.

CONCLUSIONS

Recommendations from the stakeholder panel created an agenda to foster further research, practice and policy innovations in cross-system care coordination.

Preferences of older adults for healthcare models designed to improve care coordination: evidence from Western Switzerland

Implementing innovations in care delivery in Switzerland is challenging due to the fragmented nature of the system and the specificities of the political process (i.e., direct democracy, decentralized decision-making). In this context, it is particularly important to account for population preferences when designing policies. We designed a discrete choice experiment to study population preferences for coordination-improving care models. Specifically, we assessed the relative importance of model characteristics (i.e., insurance premium, presence of care coordinator, access to specialists, use of EMR, cost-sharing for chronic patients, incentives for informal care), and predicted uptake under different policy scenarios. We accounted for heterogeneity in preferences for the status quo option using an error component logit model. Respondents attached the highest importance to the price attribute (i.e. insurance premium) (0.31, CI: 0.27- 0.36) and to the presence of a care coordinator (0.27, CI: 0.23 - 0.31). Policy scenarios showed for instance that gatekeeping would be preferred to free access to specialists if the model includes a GP or an interprofessional team as a care coordinator. Although attachment to the status quo is high in the studied population, there are potential ways to improve acceptance of alternative care models by implementation of positively valued innovations.

Bi-stability and critical transitions in mental health care systems: a model-based analysis

BACKGROUND

Delayed initiation and early discontinuation of treatment due to limited availability and accessibility of services may often result in people with mild or moderate mental disorders developing more severe disorders, leading to an increase in demand for specialised care that would be expected to further restrict service availability and accessibility (due to increased waiting times, higher out-of-pocket costs, etc.).

METHODS

We developed a simple system dynamics model of the interaction of specialised services capacity and disease progression to examine the impact of service availability and accessibility on the effectiveness and efficiency of mental health care systems.

RESULTS

Model analysis indicates that, under certain conditions, increasing services capacity can precipitate an abrupt, step-like transition from a state of persistently high unmet need for specialised services to an alternative, stable state in which people presenting for care receive immediate and effective treatment. This qualitative shift in services system functioning results from a 'virtuous cycle' in which increasing treatment-dependent recovery among patients with mild to moderate disorders reduces the number of severely ill patients requiring intensive and/or prolonged treatment, effectively 'releasing' services capacity that can be used to further reduce the disease progression rate. We present an empirical case study of tertiary-level child and adolescent mental health services in the Australian state of South Australia demonstrating that the conditions under which such critical transitions can occur apply in real-world services systems.

CONCLUSIONS

Policy and planning decisions aimed at increasing specialised services capacity have the potential to dramatically increase the effectiveness and efficiency of mental health care systems, promoting long-term sustainability and resilience in the face of future threats to population mental health (e.g., economic crises, natural disasters, global pandemics).

Current insights of community mental healthcare for people with severe mental illness: A scoping review

Background

For the last four decades, there has been a shift in mental healthcare toward more rehabilitation and following a more humanistic and comprehensive vision on recovery for persons with severe mental illness (SMI). Consequently, many community-based mental healthcare programs and services have been developed internationally. Currently, community mental healthcare is still under development, with a focus on further inclusion of persons with enduring mental health problems. In this review, we aim to provide a comprehensive overview of existing and upcoming community mental healthcare approaches to discover the current vision on the ingredients of community mental healthcare.

Methods

We conducted a scoping review by systematically searching four databases, supplemented with the results of Research Rabbit, a hand-search in reference lists and 10 volumes of two leading journals. We included studies on adults with SMI focusing on stimulating independent living, integrated care, recovery, and social inclusion published in English between January 2011 and December 2022 in peer-reviewed journals.

Results

The search resulted in 56 papers that met the inclusion criteria. Thematic analysis revealed ingredients in 12 areas: multidisciplinary teams; collaboration within and outside the organization; attention to several aspects of health; supporting full citizenship; attention to the recovery of daily life; collaboration with the social network; tailored support; well-trained staff; using digital technologies; housing and living environment; sustainable policies and funding; and reciprocity in relationships.

Conclusion

We found 12 areas of ingredients, including some innovative topics about reciprocity and sustainable policies and funding. There is much attention to individual ingredients for good community-based mental healthcare, but very little is known about their integration and implementation in contemporary, fragmented mental healthcare services. For future studies, we recommend more empirical research on community mental healthcare, as well as further investigation(s) from the social service perspective, and solid research on general terminology about SMI and outpatient support.

Overview of Community-based Mental Health Care in Japan: A narrative review

Background Mental health treatment and care in Japan has been in the transformational period to community-based approach. Although social statistical information is available, the local care provision and individual care interaction have not been reviewed recently. Summarizing relevant, up-to-date information is an urgent priority. Methods A narrative review was conducted focusing on community-based mental health care in Japan. Through a literature database search, relevant original articles published from 2010 up to 2020 were identified. The included studies were sorted into categories and indexed in the place and time dimensions of the matrix model for the mental health care services. Results A total of 25 studies were included covering categories of performance-related, service user-reported, service provider-reported and education-related outcomes. The focuses of the included studies were assertive community treatment, home-visit service, compulsory treatment order, social participation, community program, legislative revision, social withdrawal, public assistance recipient, clinical supervision, disaster mental health service, service providers growing process, and learning in community setting. The research evidence was concentrated in input phase and in individual level. Conclusions The review implies not only the development of community-based concept and practice in mental health care but also the uncertainty of evidence and the limited availability of the care. Spaces are left for future evidence and more appropriate utilization of policy and resources.

Don't blame psychosis, blame the lack of services: a message for early intervention from the Greek standard care model

BACKGROUND

Early Intervention Services (EIS) aim to reduce relapse rates and achieve better treatment and functional outcomes for first episode psychosis (FEP) patients. Existing models of services in Greece are still treatment as usual (TAU), however a reform of mental health services is underway and initial steps have been taken to shift standard care towards EIS. The purpose of the study is to address therapeutic gaps by exploring service engagement and relapse rates in the current standard care model for psychosis.

METHODS

We examined follow-up and relapse rates one year after initial treatment contact in the first longitudinal FEP study conducted in Greece. 225 patients were enrolled between 2015-2020. Sociodemographic, clinical and functional characteristics were assessed in association with follow-up and relapse rates.

RESULTS

Within a TAU follow-up setting, one year attrition rates were high. Only 87 patients (38,7%) retained contact with services after one year and within this time frame, 19 of them (21,8%) experienced a severe relapse requiring rehospitalization. Demographic, clinical and functional contributors failed to predict service engagement and relapse rates, with the exception of treatment adherence.

CONCLUSION

Both follow-up and one-year rehospitalization rates in our FEP sample, highlight the need for the implementation of early intervention services, that will aim at engagement maximization and relapse prevention. These indexes also provide a benchmark against which future early intervention services for psychosis in Greece will have to demonstrate superior efficacy.

Patient and Public Preferences for Coordinated Care in Switzerland: Development of a Discrete Choice Experiment

Objective

Our objective was to develop and test a discrete choice experiment (DCE) eliciting public and patient preferences for better-coordinated care in Switzerland.

Methods

We applied a multistage mixed-methods procedure using qualitative and quantitative approaches. First, to identify attributes, we performed a review of the DCE literature in healthcare with a focus on chronic care. Next, attribute selection involved stakeholders (N = 7) from various healthcare sectors to select the most relevant and actionable attributes, followed by three organized focus groups involving the general public and patients (N = 21) to verify the selection and the clarity of the DCE tasks and explanations. Finally, we conducted an online pilot in the target population to test the survey and obtain priors for a final six tested attributes to refine the final design of the experiment.

Results

After identifying an initial 33 attributes, a final list of six attributes was selected following stakeholder involvement and the three focus groups involving the target population. At the online pilot-testing stage with 301 participants, the majority of respondents found the DCE choice tasks socially relevant for Switzerland but challenging. The quality of the answers was relatively high. Most attributes had signs matching those in the literature and focus group discussions.

Conclusion

This article will be useful to researchers designing DCEs from a broad health policy perspective. The multistage approach involving a range of stakeholders was essential for the development of a DCE that is relevant for policy makers and well-accepted by the general public and patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40271-021-00568-2.