Literature DB >> 27209149

The magnitude of and health system responses to the mental health treatment gap in adults in India and China.

Vikram Patel1, Shuiyuan Xiao2, Hanhui Chen3, Fahmy Hanna4, A T Jotheeswaran5, Dan Luo6, Rachana Parikh7, Eesha Sharma8, Shamaila Usmani9, Yu Yu6, Benjamin G Druss10, Shekhar Saxena4.   

Abstract

This Series paper describes the first systematic effort to review the unmet mental health needs of adults in China and India. The evidence shows that contact coverage for the most common mental and substance use disorders is very low. Effective coverage is even lower, even for severe disorders such as psychotic disorders and epilepsy. There are vast variations across the regions of both countries, with the highest treatment gaps in rural regions because of inequities in the distribution of mental health resources, and variable implementation of mental health policies across states and provinces. Human and financial resources for mental health are grossly inadequate with less than 1% of the national health-care budget allocated to mental health in either country. Although China and India have both shown renewed commitment through national programmes for community-oriented mental health care, progress in achieving coverage is far more substantial in China. Improvement of coverage will need to address both supply-side barriers and demand-side barriers related to stigma and varying explanatory models of mental disorders. Sharing tasks with community-based workers in a collaborative stepped-care framework is an approach that is ripe to be scaled up, in particular through integration within national priority health programmes. India and China need to invest in increasing demand for services through active engagement with the community, to strengthen service user leadership and ensure that the content and delivery of mental health programmes are culturally and contextually appropriate.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27209149     DOI: 10.1016/S0140-6736(16)00160-4

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  70 in total

1.  Acceptability and feasibility of digital technology for training community health workers to deliver brief psychological treatment for depression in rural India.

Authors:  Shital S Muke; Ritu D Shrivastava; Lauren Mitchell; Azaz Khan; Vaibhav Murhar; Deepak Tugnawat; Rahul Shidhaye; Vikram Patel; John A Naslund
Journal:  Asian J Psychiatr       Date:  2019-09-07

2.  The epidemiology of current depression in Macau, China: towards a plan for mental health action.

Authors:  Brian J Hall; Agnes Iok Fong Lam; Tat Leong Wu; Wai-Kai Hou; Carl Latkin; Sandro Galea
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2017-06-29       Impact factor: 4.328

Review 3.  Integrated mental health services in China: challenges and planning for the future.

Authors:  Di Liang; Vickie M Mays; Wei-Chin Hwang
Journal:  Health Policy Plan       Date:  2018-01-01       Impact factor: 3.344

Review 4.  Psychological Treatments for the World: Lessons from Low- and Middle-Income Countries.

Authors:  Daisy R Singla; Brandon A Kohrt; Laura K Murray; Arpita Anand; Bruce F Chorpita; Vikram Patel
Journal:  Annu Rev Clin Psychol       Date:  2017-05-08       Impact factor: 18.561

5.  Knowledge of and Attitudes Towards Mental Illness Among ASHA and Anganwadi Workers in Vadodara District, Gujarat State, India.

Authors:  Qainat N Shah; Pooja A Dave; Daniella A Loh; Raghu K Appasani; Craig L Katz
Journal:  Psychiatr Q       Date:  2019-06

6.  The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) study: Design and methods to address mental healthcare gaps in India.

Authors:  A J Kowalski; S Poongothai; L Chwastiak; M Hutcheson; N Tandon; R Khadgawat; G R Sridhar; S R Aravind; B Sosale; R M Anjana; D Rao; R Sagar; N Mehta; K M V Narayan; J Unutzer; W Katon; V Mohan; M K Ali
Journal:  Contemp Clin Trials       Date:  2017-06-19       Impact factor: 2.226

7.  Effect of a Collaborative Care Model on Depressive Symptoms and Glycated Hemoglobin, Blood Pressure, and Serum Cholesterol Among Patients With Depression and Diabetes in India: The INDEPENDENT Randomized Clinical Trial.

Authors:  Mohammed K Ali; Lydia Chwastiak; Subramani Poongothai; Karl M F Emmert-Fees; Shivani A Patel; Ranjit Mohan Anjana; Rajesh Sagar; Radha Shankar; Gumpeny R Sridhar; Madhu Kosuri; Aravind R Sosale; Bhavana Sosale; Deepa Rao; Nikhil Tandon; K M Venkat Narayan; Viswanathan Mohan
Journal:  JAMA       Date:  2020-08-18       Impact factor: 56.272

8.  Probable psychiatric disorder in a rural community of West Bengal, India.

Authors:  Anamitra Barik; Sujit Sarkhel; Saugata Basu; Abhijit Chowdhury; Rajesh Kumar Rai
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2017-10-11       Impact factor: 4.328

9.  Mental health-related stigma and attitudes toward patient care among providers of mental health services in a rural Chinese county.

Authors:  Yuer Deng; An-Li Wang; Rosemary Frasso; Mao-Sheng Ran; Tian-Ming Zhang; Dexia Kong; Yin-Ling Irene Wong
Journal:  Int J Soc Psychiatry       Date:  2021-02-07

10.  Factors that facilitate patient activation in the self-management of diabetes and depression among participants enrolled in an integrated chronic care model in India.

Authors:  Leslie C M Johnson; Nancy J Thompson; Mohammed K Ali; Nikhil Tandon; Lydia Chwastiak; Viswanathan Mohan
Journal:  Soc Sci Med       Date:  2020-12-24       Impact factor: 4.634

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