Healthcare utilization patterns of individuals with depression after national policy to increase the mental health workforce in primary care: a data linkage study

BACKGROUND

The deployment of the mental health nurse, an additional healthcare provider for individuals in need of mental healthcare in Dutch general practices, was expected to substitute treatments from general practitioners and providers in basic and specialized mental healthcare (psychologists, psychotherapists, psychiatrists, etc.). The goal of this study was to investigate the extent to which the degree of mental health nurse deployment in general practices is associated with healthcare utilization patterns of individuals with depression.

METHODS

We combined national health insurers' claims data with electronic health records from general practices. Healthcare utilization patterns of individuals with depression between 2014 and 2019 (N = 31,873) were analysed. The changes in the proportion of individuals treated after depression onset were assessed in association with the degree of mental health nurse deployment in general practices.

RESULTS

The proportion of individuals with depression treated by the GP, in basic and specialized mental healthcare was lower in individuals in practices with high mental health nurse deployment. While the association between mental health nurse deployment and consultation in basic mental healthcare was smaller for individuals who depleted their deductibles, the association was still significant. Treatment volume of general practitioners was also lower in practices with higher levels of mental health nurse deployment.

CONCLUSION

Individuals receiving care at a general practice with a higher degree of mental health nurse deployment have lower odds of being treated by mental healthcare providers in other healthcare settings. More research is needed to evaluate to what extent substitution of care from specialized mental healthcare towards general practices might be associated with waiting times for specialized mental healthcare.

The Capacity-to-Serve Model as a Data-Driven Process for Provider Capacity Management in Outpatient Community Mental Health

Despite increasing mental health provider supply shortages, research on capacity planning and management in the field of outpatient community mental healthcare is limited. There is an immediate need for strategies to plan and manage the capacity of existing mental healthcare providers to ensure a balance between demand and resources. To address this need, research on capacity planning and management in healthcare and mental healthcare settings is reviewed. Next, the Capacity-to-Serve Model is introduced and defined as a data-driven process for quantifying and reporting real-time standardized estimates of mental health provider availability based on qualifications, monitoring of outcome targets, and use of the Capacity-to-Serve Ratio and Realizing Capacity Measure. Finally, implications for using the model as an innovative solution for capacity management to meet demand in mental health are addressed. A case example is provided to demonstrate the application of the model. Ultimately, the Capacity-to-Serve Model can standardize capacity reporting of existing provider organizations and networks, both small and large, to support increased access to and supply of mental health services.

Mental Healthcare Act 2017, India: Child and adolescent perspectives

India has got a new mental health legislation, the Mental Healthcare Act in 2017 (MHCA). Compared to its predecessor the Mental Health Act of 1987, this act was purported to be more patient centric and rights based. Considering the significant burden of child and adolescent mental health problems in the community, it is essential to understand what this new act means for the mental healthcare of young people. This article presents sections of the act relevant to children and adolescents. We look at the provisions in the context of changes from the earlier act, concordance with other Indian legislations and with mental health legislations in other parts of the world.

Implementing evidence-based practice for patients with chronic fatigue syndrome

The aim of our study was to explore whether community-based mental health care centres (MHCs) are able to implement and sustain cognitive behaviour therapy (CBT) for chronic fatigue syndrome (CFS) with the help of an implementation manual. We monitored the implementation process and treatment outcome data of three Dutch MHCs that implemented or sustained CBT for CFS, one in the context of a stepped care programme. We compared these data with findings of other treatment studies conducted in the context of CBT for CFS. All three MHCs included at least 40 patients with dropout rates between 15% and 35% from intention-to-treat to second assessment. Effect sizes ranged between 0.88 and 1.76 for changes in fatigue severity and 0.43 and 1.23 for changes in physical functioning. With one exception, these outcomes were within the range of our benchmark. Contrary to original expectations, we provided additional implementation support to the two MHCs new with CBT for CFS. We concluded that our implementation manual does not seem to substitute external support for team leaders and associated professions during initial implementation of CBT for CFS but may have the potential to make this assistance more efficient. Particular attention should be paid to challenges of implementing stepped care for CFS.

KEY PRACTITIONERS MESSAGE

Implementation of CBT for CFS in community-based MHCs was monitored. External support was provided in addition to an implementation manual during initial implementation of CBT for CFS. Participating MHCs were generally capable of successfully implementing and delivering CBT for CFS. Implementation of low-intensity interventions for CFS might better be postponed until therapists have sufficient experience with conventional CBT for CFS.