- Research article
- Open Access
- Open Peer Review
Training community mental health staff in Guangzhou, China: evaluation of the effect of a new training model
© Li et al. 2015
- Received: 25 May 2015
- Accepted: 21 October 2015
- Published: 26 October 2015
Increasing numbers of people with mental disorders receive services at primary care in China. The aims of this study are to evaluate impact of a new training course and supervision for community mental health staff to enhance their levels of mental health knowledge and to reduce their stigmatization toward people with mental illness.
A total of 77 community mental health staff from eight regions in Guangzhou in China were recruited for the study.4 regions were randomly allocated to the new training model group, and 4 to the old training model group. Levels of mental health knowledge were measured by purpose-made assessment schedule and by the Mental Health Knowledge Schedule (MAKS). Stigma was evaluated by the Mental Illness: Clinicians’ Attitudes Scale (MICA) and the Reported and Intended Behavior Scale (RIBS). Evaluation questionnaires were given at the beginning of course, at the end, and at 6 month and at 12 month follow-up.
After the training period, the 6-month, and the 12-month, knowledge scores of the intervention group were higher than the control group. At 6-month and 12-month follow-up, means scores of MAKS of the intervention group increased more than the control group (both p < 0.05) when age, sex, marriage status, title and time were controlled for. At 6-month follow-up, means scores of MICA of the intervention group decreased more than that of the control group (p < 0.01). At after-training, at 6-months, and at 12-months, mean scores of RIBS of the intervention group increased more than the control (p < 0.01, p < 0.001, p < 0.001) when age, sex, marriage status, title and time were controlled for.
Compared with the traditional training course and supervision, the new course improved community mental health staff knowledge of mental disorders, improving their attitudes toward people with mental disorder, and increasing their willingness to have contact with people with mental disorder.
- Training program
- Mental health staff
Mental and substance use disorders accounted for 7.4 % of all disability-adjusted life years (DALYs) worldwide in 2010 [1, 2]. Moreover, the mental health field is facing a serious human resource shortage and a huge treatment gap. Hence, it is a challenge faced by many countries to provide adequate human resources to deliver mental health service to those people who need treatment. This situation more urgently needs to be changed in low-and middle-income countries (LMICs), where 76 to 85 % of people with serious mental disorders have received no treatment in the prior 12 months, whereas this figure is reduced to between 35 to 50 % in high-income countries [3, 4].
To bridge the treatment gap, some researchers have proposed “Task shifting” (also named task sharing) which relies on shifting tasks from specialists to non-specialists to overcome shortages of human resources for mental health [5, 6]. It may be acceptable and feasible to train non-specialists health workers to deliver mental health services in the LMICs . Previous studies have demonstrated that mental disorders can be successfully treated in primary care. Currently experiences suggest that providing assistance and supervision in training primary health care staff to identify and treat people with mental disorders by available specialist mental health staff can promote mental heath service to the public [8, 9].
Besides the limited resources, stigma may be another main factor that hinders people with mental disorder from being treated. Stigma and discrimination are widely experienced by people with mental disorders, even in health-care faculties [10–14]. For this reason, it is not enough to promote the mental heath staff’s knowledge of mental illness. It is more important to train them to combat their own tendencies to stigmatize.
As the provincial capital of Guangdong Province, Guangzhou’s community mental health services have a history of more than half a century. To improve the mental health service status in Guangzhou, Guangzhou Brain Hospital has been in charge of training community mental health staff for a decade and held more than 10 training courses . However, for the community mental health staff, the traditional training curriculum was based on an individual approach, while the public heath approach was lacking. Thus we could not develop effective community mental health services in real situations. Among them, from public health’s point of view, the clinical approach could not offer appropriate training courses for community mental health staff . In order to better deliver mental health services, we are now developing the “Guangzhou model” in the field of community mental health (which also named “PTSA”: Policy, Training, Services and Assessment).
Therefore, we introduced a trial in Guangzhou, China, to improve the mental health knowledge of community mental health staff and decrease their stigma related to mental health. Our primary hypothesis is that the new training courses and supervision will significantly improve the mental health staff knowledge. Our secondary hypothesis is that the new training curriculum will decrease the mental health staff stigma and discrimination.
Considering of the attrition (10 %), finally, we got the sample size for the new and traditional model group will be 44, since both groups include four districts. Therefore, the total sample size for the current study was 88.
Then we invited the community mental health staff who worked in the selected districts to participate in the voluntary training. They were told that because of the limited resources, they were trained in two separate periods. All of them were informed that they could leave the training at any time. At last, there were only 40 participants enrolled in the new training model group and 37 participants in the traditional model group.
New curriculum (hours)
Traditional curriculum (hours)
Community mental health
Advisory and coordination mechanism, work system, and work flow;
To check the quality and quantity of the completion rates of serious mental disorders;
To coordinate the funds and allocation;
Task management data and information report of serious mental disorders;
To summarize work performance and advanced examples;
To coordinate, guide and help to solve management and technical problems in the work.
To emphasize the problems in daily work;
To strengthen communication with administrators;
To coordinate and solve the target problems.
The supervisors mainly consisted of the community psychiatric professionals of Guangzhou Brain Hospital. The matching supervision was provided every three month to each group after the training.
Inclusion criteria: (1) Mental health staff of community mental health institutions in the target districts of Guangzhou; (2) Graduated above technical secondary school level; (3) Gave informed consent and agreed to accept training and supervising. Exclusion criteria: (1) Failure to complete 80 % of the total courses; (2) Failing to accept follow-up supervision two times or more.
We assessed knowledge of mental health using a purpose-made assessment schedule, which contains one part of single choice question, two parts of multiple choice questions and an essay question selected from the textbook named: psychiatric learning guidance and problem sets . Besides, there was another essay question related to public health. The paper consists of 100 score, higher score indicates more knowledge of mental health.
Stigma and discrimination towards mental illness were assessed with three tools: 1) the Mental Health Knowledge Schedule (MAKS). Its total score (part A) was calculated so that higher MAKS score indicates greater stigma-related mental health knowledge. 2) the Mental illness: Clinicians’ Attitudes (MICA) to assess stigmatising attitudes, higher MICA score indicates more negative stigma-related mental health attitudes. 3) the Reported and Intended Behaviour Scale (RIBS): to assess mental health-related reported and intended behavioural discrimination, higher RIBS score indicates greater willingness to contact people with mental illness. These tools of assessment had good psychometric properties [21–26], and our previous research also found that MICA and RIBS had good reliability and validity in China. The internal consistency of the MICA and RIBS were Cronbach’α = 0.72, 0.82, respectively [27–29].
Analyses of outcomes were based on the intention to treat principle. The Linear Mixed Model was used to show effectiveness of new training intervention and adjust for doctor- level (level-1) potential confounding variables and intra-class correlation (ICC) resulting from clusters (districts) and repeated measures. Unadjusted and adjusted regression coefficients of scores of the theory test with 95 % confidence intervals (CI) were calculated. For the Linear Mixed Model, variance components were chosen as covariance structure for the repeated measures, based on Akaike’s information criteria (AIC). Significance was set at P < 0.05. Linear Mixed Model was performed using IBM SPSS Statistics 20.0 (IBM Corporation, USA).
The study was conducted from August 2013 to October 2014. Ethics approval was obtained from Research Ethics Committee of Guangzhou Brain Hospital (Number 66, 2013).
New model group (N=40)
Traditional model group (N=37)
Age (years) (χ±SD)
Education years (χ±SD)
Sex n (%)
Marital status n (%)
Occupation n (%)*
Knowledge of mental health scores
Knowledge of metal health scores
Means scores of MAKS
Means scores of MICA
Means scores of RIBS
This is the first study, to our knowledge, to follow-up the training effect among community mental health staff in China. Little is known about effective means to reduce stigma of mental health staff in China. At the baseline, there were no significant difference between the two groups in relation to mental health knowledge, attitude and intended behavior to mental disorder. However,after the respective training, the new model group had better knowledge of mental health than the traditional model group,less stigmatizing attitudes, and were more willing to contact people with mental disorder. The results are congruous with other related reports [7, 30, 31]. Moreover,owing to the new model of supervision, these advantages exist over time.
The traditional curriculum settings emphasize clinical psychiatry. However, in the current situation, the community mental health staff were encouraged to manage people with mental disorder, provide health education, rehabilitation training, follow-up, rather than just providing diagnosis and treatment. Notably, merely a broad categories disease, mental disorder is a public health problem. It means that mental health staff should also being equipped with knowledge of community psychiatry, so that they can see problem from a public perspective, and understand the whole range of needs of each patient. In considering these, we modify the structure of the new curriculum to deliver better mental heath service to fully address unmet needs.
Our results indicated that the new curriculum settings also were effective in bringing about a change of attitude toward people with mental disorder. Mental health staff who received the new training model had a more positive attitude toward people with mental disorder and more willing to contact with them. This may make their work more interesting and decrease the human resource flowing in the field of mental health, but we found that there was no significant difference between the new model group and traditional model group, which may reveal a complicated reason that contains the policy and plan of health systems. In the context of seriously shortage of human resource in the field of mental health, stigma related to mental health may be one reason contributing to such a shortage. So, in order to have a stable team, reducing stigma among mental health staff is necessary and is helpful to the delivery of mental health [6, 7, 32–34]. On the other hand, their attitudes toward people with mental disorder may have substantial importance for the patients,such as treatment adherence, recovery, social function [35–37]. In addition, as mental health staff can also be active agent to reduce stigma in others, so it is important that they also have support to reduce their own stigma. [14, 38–41].
It is need to be discussed that there was another study proceeded in this study . There were 40 persons overlapped (all from the new model group) in two studies. Overall, participants in these two studies were overlapped in part, but the study was just a training supervision for the new model group of this study. Therefore, it will not lead to obvious impact on current study. The two studies should be as independent studies.
Our study had some limitations. First, owing to the very limited human resource, only part of the community mental health staff in Guangzhou could participate in the training. So the sample size was relatively small. Second, these trainings’ overall effectiveness is reduced by workload overburden among mental health staff in real-life conditions. Thirdly, we have not assessed whether the training results have an impact on the patients of each group and we will undertake further research to assess effect of training community mental health staff in Guangzhou.
Our results showed that the training program from a public health perspective and using a needs-based approach in supervision for task shifting is acceptable and feasible and could more decrease community mental health staff’s stigma and discrimination towards patients with mental illness. The change of attitude and behavior is as important as the achievement of knowledge for the delivery of better mental health.
We are grateful for the valuable suggestions on the study’s design by Prof. Michele Tansella (The University of Verona), and A.P. Maosheng Ran (The University of Hong Kong), who completed the back translation of MAKS, MICA and RIBS. We would also like to thank Zhiying Ma (The University of Chicago) who commented on the manuscript.
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- WHO. Global burden of disease: 2004 update. Geneva: WHO; 2008.Google Scholar
- Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013;382(9904):1575–86.View ArticlePubMedGoogle Scholar
- Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine JP. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA. 2004;291:2581–90.View ArticlePubMedGoogle Scholar
- WHO and Wonca. Integrating mental health into primary care: a global perspective. Geneva: WHO and Wonca; 2008.Google Scholar
- Patel V, Araya R, Chatterjee S, Chisholm D, Cohen A, De Silva M, et al. Global mental health 3: treatment and prevention of mental disorders in low-income and middle-income countries. Lancet. 2011;370:991–1005.View ArticleGoogle Scholar
- Kakuma R, Minas H, van Ginneken N, Poz MRD, Desiraju K, Morris J, et al. Global mental health 5: human resources for mental health care :current situation and strategies for action. Lancet. 2011;378:1654–63.View ArticlePubMedGoogle Scholar
- Mendenhall E, De Silva MJ, Hanlon C, Petersen I, Shidhaye R, Jordans M, et al. Acceptability and feasibility of using non-specialist health works to deliver mental health care: Stakeholder perceptions from the PRIME district sites in Ethiopia, India, South Africa, and Uganda. Soc Sci Med. 2014;118:33–42.View ArticlePubMedPubMed CentralGoogle Scholar
- WHO. World health report 2001. Mental health: new understanding, new hope. Geneva, Switzerland: WHO; 2001.Google Scholar
- Desjarlais R, Eisenberg L, Good B, Kleinman A. World mental health. problems and priorities in low income countries. Oxford, UK: Oxford University Press; 1995.Google Scholar
- Lauber C, Nordt C, Braunschweig C, Rossler W. Do mental health professionals stigmatize their patients? Acta Psychiatr Scand Suppl. 2006;429:51–9.View ArticlePubMedGoogle Scholar
- Beales D. Continuing stigmatisation by psychiatrists. Br J Psychiatry. 2001;178:475.View ArticlePubMedGoogle Scholar
- Corker E. Stigma caused by psychiatrists. Br J Psychiatry. 2001;178:379.View ArticlePubMedGoogle Scholar
- Harangozo J, Reneses B, Brohan E, Sebes J, Csukly G, Lopez-Ibor J, et al. Stigma and discrimination against people with schizophrenia related to medical services. Int J Soc Psychiatry. 2013;60(4):359–66.View ArticlePubMedGoogle Scholar
- Schulze B. Stigma and mental health professionals: a review of the evidence on an intricate relationship. Int Rev Psychiatry. 2007;19(2):137–55.View ArticlePubMedGoogle Scholar
- Li J, Huang XM, Guo YB, Yang CJ, Zhou WC. A study of the psychiatric training program for community psychiatric practitioners in Guangzhou. Shandong Arch of Psychiatry. 2005;18(1):12–3.Google Scholar
- Thornicroft G, Tansella M. Better mental health care. Cambridge: Cambridge University Press; 2009.Google Scholar
- WHO. mhGAP intervention guide for mental, neurological and substance use disorders in non-specialized health settings. Geneva: WHO; 2008.Google Scholar
- Shu L, Si TM. Guideline for schizophrenia. Beijing: Peking University Medical Press; 2007.Google Scholar
- Shen QJ, Liu TB, Zhang HY. Guideline for bipolar disorder. Beijing: Peking University Medical Press; 2007.Google Scholar
- Liu TQ, Hao W, Yu X. Psychiatric learning guidance and problem sets. Beijing: People’s Medical Publishing House; 2011.Google Scholar
- Clement S, van Nieuwenhuizen A, Kassam A, Flach C, Lazarus A, de Castro M, et al. Filmed v. live social contact interventions to reduce stigma: randomized controlled trial. Br J Psychiatry. 2012;201(1):57–64.View ArticlePubMedGoogle Scholar
- Kassam A, Glozier N, Leese M, Henderson C, Thornicroft G. Development and responsiveness of a scale to measure clinicians’ attitudes to people with mental illness. Acta Psychiatr Scand. 2010;122(2):153–61.View ArticlePubMedGoogle Scholar
- Gabbidon J, Clement S, van Nieuwenhuizen A, Kassam A, Brohan E, Norman I, et al. Mental illness: Clinicians’ Attitudes (MICA) Scale –psychometric properties of a version for healthcare students and professionals. Psychiatry Res. 2013;206:81–7.View ArticlePubMedGoogle Scholar
- Evans-Lacko S, Rose D, Little K, Flach C, Rhydderch D, Henderson C, et al. Development and psychometric properties of the Reported and Intended Behaviour Scale (RIBS): a stigma-related behaviour measure. Epidemiol Psychiatr Sci. 2011;20(3):263–71.View ArticlePubMedGoogle Scholar
- Evans-Lacko S, Little K, Meltzer H, Rose D, Rhydderch D, Henderson C, et al. Development and psychometric properties of the mental health knowledge schedule. Can J of Psychiatry. 2010;55(7):440–8.Google Scholar
- Evans-Lacko S, Henderson C, Thornicroft G. Public knowledge, attitudes and behaviour regarding people with mental illness in England 2009–2012. Br J Psychiatry. 2013;202:s51–7.View ArticleGoogle Scholar
- Li J, Li J, Thornicroft G, Huang YG. Levels of stigma among community mental health staff in Guangzhou. China BMC Psychiatry. 2014;14:231.View ArticlePubMedGoogle Scholar
- Li J, Li J, Huang YG, Thornicroft G. Mental health training program for community mental health staff in Guangzhou, China: effects on knowledge of mental illness and stigma. Int J Ment Health Syst. 2014;8:49.View ArticlePubMedPubMed CentralGoogle Scholar
- Li J, Li J, Gabbidon J, Clement S, Ma ZY, Guo YB, et al. Reliability and validity of the Chinese vision of mental illness: the clinicians’ attitudes scale among community mental health staff. J Clin Psychiatry. 2014;24:227–9.Google Scholar
- Jenkins R, Kiima D, Njenga F, Okonji M, Kingora J, Kathuku D, et al. Integration of mental health into primary care in Kenya. World Psychiatry. 2010;9(2):118–20.View ArticlePubMedPubMed CentralGoogle Scholar
- Sadik S, Abdulrahman S, Bradley M, Jenkins R. Integrating mental health into primary health care in Iraq. Ment Health Fam Med. 2011;8(1):39–49.PubMedPubMed CentralGoogle Scholar
- Saxena S, Thornicrof G, Knapp M, Whiteford H. Global Mental Health 2: Resources for mental health: scarcity, inequity, and inefficiency. Lancet. 2007;370:878–89.View ArticlePubMedGoogle Scholar
- Prince M, Patel V, Saxena S, Maj M, Maselko J, Phillips MR, et al. Global Mental Health 1: No health without mental health. Lancet. 2007;370:859–77.View ArticlePubMedGoogle Scholar
- WHO. mhGAP. Mental Health Gap Action Programme: Scaling up care for mental, neurological, and substance use disorders. Geneva: WHO; 2008.Google Scholar
- Beldie A, Boer J, Brain C, Constant E, Figueira M, Filipcic I, et al. Fighting stigma of mental illness in midsize European countries. Soc Psychiatry Psychiatr Epidemiol. 2012;47 Suppl 1:1–38.View ArticlePubMedGoogle Scholar
- Sartorius N. Fighting stigma: theory and practice. World Psychiatry. 2002;1:26–7.PubMedPubMed CentralGoogle Scholar
- Sartorius N. Stigma and mental health. Lancet. 2007;370:810–1.View ArticlePubMedGoogle Scholar
- Cheon BK, Chiao JY. Cultural variation in implicit mental illness stigma. J Cross Cult Psychol. 2012;14:1058–62.View ArticleGoogle Scholar
- Yang LH. Application of mental illness stigma theory to Chinese societies: synthesis and new directions. Singapore Med J. 2007;48(11):977–85.PubMedGoogle Scholar
- Thornicroft G, Brohan E, Rose D, Sartorius N, Leese M. Global pattern of experienced and anticipated discrimination against people with schizophrenia: a cross-sectional survey. Lancet. 2009;373(9661):408–15.View ArticlePubMedGoogle Scholar
- Lasalvia A, Zoppei S, van BT, Bonetto C, Cristofalo D, Wahlbeck K, et al. Global pattern of experienced and anticipated discrimination reported by people with major depressive disorder: a cross-sectional survey. Lancet. 2013;381(9860):55–62.View ArticlePubMedGoogle Scholar