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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., (© The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Research on information systems for mental health in low and middle income countries (LMICs) is scarce. As a result, there is a lack of reliable information on mental health service needs, treatment coverage and the quality of services provided., Methods: With the aim of informing the development and implementation of a mental health information sub-system that includes reliable and measurable indicators on mental health within the Health Management Information Systems (HMIS), a cross-country situation analysis of HMIS was conducted in six LMICs (Ethiopia, India, Nepal, Nigeria, South Africa and Uganda), participating in the 'Emerging mental health systems in low and middle income countries' (Emerald) research programme. A situation analysis tool was developed to obtain and chart information from documents in the public domain. In circumstances when information was inadequate, key government officials were contacted to verify the data collected. In this paper we compare the baseline policy context, human resources situation as well as the processes and mechanisms of collecting, verifying, reporting and disseminating mental health related HMIS data., Results: The findings suggest that countries face substantial policy, human resource and health governance challenges for mental health HMIS, many of which are common across sites. In particular, the specific policies and plans for the governance and implementation of mental health data collection, reporting and dissemination are absent. Across sites there is inadequate infrastructure, few HMIS experts, and inadequate technical support and supervision to junior staff, particularly in the area of mental health. Nonetheless there are also strengths in existing HMIS where a few mental health morbidity, mortality, and system level indicators are collected and reported., Conclusions: Our study indicates the need for greater technical and resources input to strengthen routine HMIS and develop standardized HMIS indicators for mental health, focusing in particular on indicators of coverage and quality to facilitate the implementation of the WHO mental health action plan 2013-2020.

Background: The involvement of mental health service users and their caregivers in health system policy and planning, service monitoring and research can contribute to mental health system strengthening, but as yet there have been very few efforts to do so in low- and middle-income countries (LMICs)., Methods: This systematic review examined the evidence and experience of service user and caregiver involvement in mental health system strengthening, as well as models of best practice for evaluation of capacity-building activities that facilitate their greater participation. Both the peer-reviewed and the grey literature were included in the review, which were identified through database searches (MEDLINE, Embase, PsycINFO, Web of Knowledge, Web of Science, Scopus, CINAHL, LILACS, SciELO, Google Scholar and Cochrane), as well as hand-searching of reference lists and the internet, and a snowballing process of contacting experts active in the area. This review included any kind of study design that described or evaluated service user, family or caregiver (though not community) involvement in LMICs (including service users with intellectual disabilities, dementia, or child and adolescent mental health problems) and that were relevant to mental health system strengthening across five categories. Data were extracted and summarised as a narrative review., Results: Twenty papers matched the inclusion criteria. Overall, the review found that although there were examples of service user and caregiver involvement in mental health system strengthening in numerous countries, there was a lack of high-quality research and a weak evidence base for the work that was being conducted across countries. However, there was some emerging research on the development of policies and strategies, including advocacy work, and to a lesser extent the development of services, service monitoring and evaluation, with most service user involvement having taken place within advocacy and service delivery. Research was scarce within the other health system strengthening areas., Conclusions: Further research on service user and caregiver involvement in mental health system strengthening in LMICs is recommended, in particular research that includes more rigorous evaluation. A series of specific recommendations are provided based on the review.

Mental disorders constitute a huge global burden of disease, and there is a large treatment gap, particularly in low-income and middle-income countries. One response to this issue has been the call to scale up mental health services. We assess progress in scaling up such services worldwide using a systematic review of literature and a survey of key national stakeholders in mental health. The large number of programmes identified suggested that successful strategies can be adopted to overcome barriers to scaling up, such as the low priority accorded to mental health, scarcity of human and financial resources, and difficulties in changing poorly organised services. However, there was a lack of well documented examples of services that had been taken to scale that could guide how to replicate successful scaling up in other settings. Recommendations are made on the basis of available evidence for how to take forward the process of scaling up services globally., (Copyright © 2011 Elsevier Ltd. All rights reserved.)