Development of mental health indicators at the district level in Madhya Pradesh, India: mixed methods study

BMC Health Serv Res. 2018 Nov 19;18(1):867. doi: 10.1186/s12913-018-3695-4.

Abstract

Background: Strengthening routine information systems for mental health can augment scale up of community mental health services in India and other low- and middle-income countries. Currently little routine data is available in Indian settings. This study aimed to develop a core set of indicators for monitoring mental health care in primary health care settings METHODS: By using a sequential exploratory mixed methods design, key mental health indicators measuring service delivery and system performance were developed for the context of Madhya Pradesh, India. The research design involved a situation analysis, and conducting a prioritisation exercise and consultation workshops with key stakeholders.

Results: This study resulted in nine key mental health indicators covering both mental health service delivery indicators and mental health system indicators for Sehore district of Madhya Pradesh. Mean indicator priority scores ranging from 4.48 to 3.78 were reported.

Conclusions: This study demonstrated a phased approach to strengthen routine information systems for mental health at a primary care level in India. We recommend that similar research methods can be applied across comparable settings and these indicators can be adopted as a part of national routine information systems.

Keywords: India; Information Systems; Mental Health; Mental Health Indicators.

MeSH terms

  • Community Mental Health Services / standards
  • Delivery of Health Care / standards*
  • Delivery of Health Care / statistics & numerical data
  • Facilities and Services Utilization
  • Health Status Indicators
  • Humans
  • India
  • Information Systems / standards
  • Mental Disorders / therapy
  • Mental Health
  • Mental Health Services / standards*
  • Mental Health Services / statistics & numerical data
  • Primary Health Care / standards
  • Primary Health Care / statistics & numerical data