Integrated care for people with long-term mental and physical health conditions in low-income and middle-income countries.

Integrated care is defined as health services that are managed and delivered such that people receive a continuum of health promotion, disease prevention, diagnosis, treatment, disease management, rehabilitation, and palliative care services, coordinated across the different levels and sites of care within and beyond the health sector and, according to their needs, throughout the life course. In this Review, we describe the most relevant concepts and models of integrated care for people with chronic (or recurring) mental illness and comorbid physical health conditions, provide a conceptual overview and a narrative review of the strength of the evidence base for these models in high-income countries and in low-income and middle-income countries, and identify opportunities to test the feasibility and effects of such integrated care models. We discuss the rationale for integrating care for people with mental disorders into chronic care; the models of integrated care; the evidence of the effects of integrating care in high-income countries and in low-income and middle-income countries; the key organisational challenges to implementing integrated chronic care in low-income and middle-income countries; and the practical steps to realising a vision of integrated care in the future.

Indicators for routine monitoring of effective mental healthcare coverage in low- and middle-income settings: a Delphi study.

High-quality information to measure the need for, and the uptake, cost, quality and impact of care is essential in the pursuit of scaling up mental health care in low- and middle-income countries (LMIC). The aim of this study was to identify indicators for the measurement of effective coverage of mental health treatment. We conducted a two-round Delphi study (n = 93 experts from primarily LMIC countries Ethiopia, India, Nepal, Nigeria, South Africa and Uganda), in order to generate and prioritize a set of indicators. First, 52 unique indicators were generated (based on a total of 876 responses from participants). Second, the selected indicators were then scored for significance, relevance and feasibility. Mean priority scores were calculated per indicator (score range, 1-5). All 52 indicators had a weighted mean score that ranged from 3.20 for the lowest ranked to 4.27 for the highest ranked. The 15 highest ranked indicators cover the different domains of measuring effective mental health treatment coverage. This set of indicators is highly stable between the different groups of experts, as well as between the different participating countries. This study provides data on how mental health service and financial coverage can be assessed in LMIC. This is an important element in the move to scale-up mental health care.

Development and piloting of a plan for integrating mental health in primary care in Sehore district, Madhya Pradesh, India.

BACKGROUND: The large treatment gap for mental disorders in India underlines the need for integration of mental health in primary care. AIMS: To operationalise the delivery of the World Health Organization Mental Health Gap Action Plan interventions for priority mental disorders and to design an integrated mental healthcare plan (MHCP) comprising packages of care for primary healthcare in one district. METHOD: Mixed methods were used including theory of change workshops, qualitative research to develop the MHCP and piloting of specific packages of care in a single facility. RESULTS: The MHCP comprises three enabling packages: programme management, capacity building and community mobilisation; and four service delivery packages: awareness for mental disorders, identification, treatment and recovery. Challenges were encountered in training primary care workers to improve identification and treatment. CONCLUSIONS: There are a number of challenges to integrating mental health into primary care, which can be addressed through the injection of new resources and collaborative care models.