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BACKGROUND: Mental, neurological and substance use disorders contribute to a significant proportion of the world's disease burden, including in low and middle income countries (LMICs). In this study, we focused on the health systems required to support integration of mental health into primary health care (PHC) in Ethiopia, India, Nepal, Nigeria, South Africa and Uganda. METHODS: A checklist guided by the World Health Organization Assessment Instrument for Mental Health Systems (WHO-AIMS) was developed and was used for data collection in each of the six countries participating in the Emerging mental health systems in low and middle-income countries (Emerald) research consortium. The documents reviewed were from the following domains: mental health legislation, health policies/plans and relevant country health programs. Data were analyzed using thematic content analysis. RESULTS: Three of the study countries (Ethiopia, Nepal, Nigeria, and Uganda) were working towards developing mental health legislation. South Africa and India were ahead of other countries, having enacted recent Mental Health Care Act in 2004 and 2016, respectively. Among all the 6 study countries, only Nepal, Nigeria and South Africa had a standalone mental health policy. However, other countries had related health policies where mental health was mentioned. The lack of fully fledged policies is likely to limit opportunities for resource mobilization for the mental health sector and efforts to integrate mental health into PHC. Most countries were found to be allocating inadequate budgets from the health budget for mental health, with South Africa (5%) and Nepal (0.17%) were the countries with the highest and lowest proportions of health budgets spent on mental health, respectively. Other vital resources that support integration such as human resources and health facilities for mental health services were found to be in adequate in all the study countries. Monitoring and evaluation systems to support the integration of mental health into PHC in all the study countries were also inadequate. CONCLUSION: Integration of mental health into PHC will require addressing the resource limitations that have been identified in this study. There is a need for up to date mental health legislation and policies to engender commitment in allocating resources to mental health services.

Abstract Background Mental, neurological and substance use disorders contribute to a significant proportion of the world's disease burden, including in low and middle income countries (LMICs). In this study, we focused on the health systems required to support integration of mental health into primary health care (PHC) in Ethiopia, India, Nepal, Nigeria, South Africa and Uganda. Methods A checklist guided by the World Health Organization Assessment Instrument for Mental Health Systems (WHO-AIMS) was developed and was used for data collection in each of the six countries participating in the Emerging mental health systems in low and middle-income countries (Emerald) research consortium. The documents reviewed were from the following domains: mental health legislation, health policies/plans and relevant country health programs. Data were analyzed using thematic content analysis. Results Three of the study countries (Ethiopia, Nepal, Nigeria, and Uganda) were working towards developing mental health legislation. South Africa and India were ahead of other countries, having enacted recent Mental Health Care Act in 2004 and 2016, respectively. Among all the 6 study countries, only Nepal, Nigeria and South Africa had a standalone mental health policy. However, other countries had related health policies where mental health was mentioned. The lack of fully fledged policies is likely to limit opportunities for resource mobilization for the mental health sector and efforts to integrate mental health into PHC. Most countries were found to be allocating inadequate budgets from the health budget for mental health, with South Africa (5%) and Nepal (0.17%) were the countries with the highest and lowest proportions of health budgets spent on mental health, respectively. Other vital resources that support integration such as human resources and health facilities for mental health services were found to be in adequate in all the study countries. Monitoring and evaluation systems to support the integration of mental health into PHC in all the study countries were also inadequate. Conclusion Integration of mental health into PHC will require addressing the resource limitations that have been identified in this study. There is a need for up to date mental health legislation and policies to engender commitment in allocating resources to mental health services.

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 subsystem 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.

Abstract 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: 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 ...

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 ...

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 subsystem 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 ...

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.

Poor governance has been identified as a barrier to effective integration of mental health care in low- and middle-income countries. Governance includes providing the necessary policy and legislative framework to promote and protect the mental health of a population, as well as health system design and quality assurance to ensure optimal policy implementation. The aim of this study was to identify key governance challenges, needs and potential strategies that could facilitate adequate integration of mental health into primary health care settings in low- and middle-income countries. Key informant qualitative interviews were held with 141 participants across six countries participating in the Emerging mental health systems in low- and middle-income countries (Emerald) research program: Ethiopia, India, Nepal, Nigeria, South Africa, and Uganda. Data were transcribed (and where necessary, translated into English) and analysed thematically using framework analysis, first at the country level, then synthesized at a cross-country level. While all the countries fared well with respect to strategic vision in the form of the development of national mental health policies, key governance strategies identified to address challenges included: strengthening capacity of managers at sub-national levels to develop and implement integrated plans; strengthening key aspects of the essential health system building blocks to promote responsiveness, efficiency and effectiveness; developing workable mechanisms for inter-sectoral collaboration, as well as community and service user engagement; and developing innovative approaches to improving mental health literacy and stigma reduction. Inadequate financing emerged as the biggest challenge for good governance. In addition to the need for overall good governance of a health care system, this study identifies a number of specific strategies to improve governance for integrated mental health care in low- and middle-income countries.

Poor governance has been identified as a barrier to effective integration of mental health care in low- and middle-income countries. Governance includes providing the necessary policy and legislative framework to promote and protect the mental health of a population, as well as health system design and quality assurance to ensure optimal policy implementation. The aim of this study was to identify key governance challenges, needs and potential strategies that could facilitate adequate integration of mental health into primary health care settings in low- and middle-income countries. Key informant qualitative interviews were held with 141 participants across six countries participating in the Emerging mental health systems in low- and middle-income countries (Emerald) research program: Ethiopia, India, Nepal, Nigeria, South Africa, and Uganda. Data were transcribed (and where necessary, translated into English) and analysed thematically using framework analysis, first at the country level, then synthesized at a cross-country level. While all the countries fared well with respect to strategic vision in the form of the development of national mental health policies, key governance strategies identified to address challenges included: strengthening capacity of managers at sub-national levels to develop and implement integrated plans; strengthening key aspects of the essential health system building blocks to promote responsiveness, efficiency and effectiveness; developing workable mechanisms for inter-sectoral collaboration, as well as community and service user engagement; and developing innovative approaches to improving mental health literacy and stigma reduction. Inadequate financing emerged as the biggest challenge for good governance. In addition to the need for overall good governance of a health care system, this study identifies a number of specific strategies to improve governance for integrated mental health care in low- and middle-income countries.