Literature DB >> 31068242

Changes in treatment status of patients with severe mental illness in rural China, 1994-2015.

Mao-Sheng Ran1, Xue Weng2, Yu-Jun Liu2, Tian-Ming Zhang2, Yue-Hui Yu2, Man-Man Peng2, Wei Luo3, Shi-Hui Hu4, Xin Yang5, Bo Liu6, Tin Zhang7, Graham Thornicroft8, Cecilia Lai-Wan Chan9, Meng-Ze Xiang10.   

Abstract

BACKGROUND: Although it is crucial to improve the treatment status of people with severe mental illness (SMI), it is still unknown whether and how socioeconomic development influences their treatment status.AimsTo explore the change in treatment status in people with SMI from 1994 to 2015 in rural China and to examine the factors influencing treatment status in those with SMI.
METHOD: Two mental health surveys using identical methods and ICD-10 were conducted in 1994 and 2015 (population ≥15 years old, n = 152 776) in the same six townships of Xinjin County, Chengdu, China.
RESULTS: Compared with 1994, individuals with SMI in 2015 had significantly higher rates of poor family economic status, fewer family caregivers, longer duration of illness, later age at first onset and poor mental status. Participants in 2015 had significantly higher rates of never being treated, taking antipsychotic drugs and ever being admitted to hospital, and lower rates of using traditional Chinese medicine or being treated by traditional/spiritual healers. The factors strongly associated with never being treated included worse mental status (symptoms/social functioning), older age, having no family caregivers and poor family economic status.
CONCLUSIONS: Socioeconomic development influences the treatment status of people with SMI in contemporary rural China. Relative poverty, having no family caregivers and older age are important factors associated with a worse treatment status. Culture-specific, community-based interventions and targeted poverty-alleviation programmes should be developed to improve the early identification, treatment and recovery of individuals with SMI in rural China.Declaration of interestNone.

Entities:  

Keywords:  China; Socioeconomic status; family caregivers; severe mental illness; treatment status

Year:  2019        PMID: 31068242      PMCID: PMC6469230          DOI: 10.1192/bjo.2019.13

Source DB:  PubMed          Journal:  BJPsych Open        ISSN: 2056-4724


China has experienced profound socioeconomic transformations in recent decades.[1] The rapid socioeconomic development associated with increased urbanisation and migration may have a negative impact on family systems, which can have significant adverse consequences for individuals with severe mental illness (SMI).[2,3] SMI, a leading cause of disability, is characterised in this study as mental, behavioural or emotional disorders (including schizophrenia, bipolar disorder and major depressive disorder) that can result in serious functional impairment.[4] In the Chinese population, the burden of SMI is profoundly high during a period of rapid social development.[5]

Importance of treatment for people with SMI

How to reduce the large gap between the need for treatment for mental disorders and the provision of that treatment, especially in China, the most populous country in the world, is an important public health issue.[3,6,7] Receiving appropriate and timely treatment is critical for reducing the burden of mental disorders. Evidence shows that structured treatment and antipsychotic medications can significantly reduce illness symptoms, chronic disability, suicidal rates and healthcare costs.[8] Absence and delay in treatment for individuals with SMI can lead to severe consequences, including excess mortality, poor prognosis, as well as ongoing functional impairment and work loss.[7,8] Thus, understanding treatment status and its predictors is crucial for enhancing mental health system and services, and improving outcomes for those with SMI.[6,9] However little is known about the impact of social development on treatment status for those with SMI in the world.[10] Following rapid socioeconomic development in China, shifts in the traditional family structure, the acceleration of rural-to-urban migration, and the scarcity of mental health services have resulted in higher prevalence of untreated mental illness in China.[3,7] Given that less than 1% of the national healthcare budget is allocated to mental health and the majority of mental health services and resources are concentrated in urban cities, developing ways to increase support networks and strengthen healthcare provision for people with SMI, especially in rural China, has become an urgent public health issue.[6,11,12] Identifying and overcoming barriers to treatment are essential for improving unmet treatment needs and reducing the substantial burden of mental disorders.[13]

Framework of social development and treatment status of mental illness

Although Andersen's behavioural model has been the theoretical framework most widely used for studying the utilisation of health services,[14] little is known about whether and how long-term social development factors (for example socioeconomic, urbanisation, migration) influence treatment status through predisposing characteristics (such as gender, age, marital status, family size), enabling factors (such as family income, type of care) and need indicators (such as symptoms, diagnoses) in people with SMI.[15]

Changes in treatment status of people with SMI in rural China

The majority of previous studies on treatment status in people with SMI have been from high-income or Western contexts.[9] Few studies had been conducted to explore the treatment status of people with SMI in China, especially rural China, where limited healthcare resources are available.[2,3,7] The relationship between poverty and mental health is a central concern of global poverty and is of great interest to both health and economic policymakers.[16-18] In China, poverty may be an important factor influencing treatment status.[19,20] Most individuals with mental disorders (over 90%) live with their family members who are their primary caregivers.[6,21] However, it is still unknown whether changes in poverty status and in family caregivers during a period of rapid socioeconomic development in China has had an impact on the treatment status of people with SMI. Since the 1980s China has experienced dramatic socioeconomic change, which is reflected in the steady rise in gross domestic product (GDP). The fastest growth period for GDP in China was from 1994 to 2015, during this time the growth rate in GDP was remarkable, reaching 1316.7%.[1] Similar to many other counties in China, Xinjin County, in the south of Chengdu, has also undergone rapid socioeconomic development and urbanisation since the 1980s. The average net income of each person in Xinjin had increased from 1330 RMB in 1994 to 16 856 RMB in 2015 (percentage increase: 1167.4%).[22] Although China's rapid economic growth (such as GDP) in the past three decades has produced many economic benefits, raising the average family income and pulling hundreds of millions of people out of poverty, it is still unknown whether or how the treatment status of individuals with SMI has been influenced by this socioeconomic development. Chengdu Mental Health Project (CMHP), an ongoing longitudinal mental health project, provides a unique opportunity to explore the impact of social development on the treatment status of individuals with SMI in rural China.[2]

Study objectives

This is the first study to explore the relationship between social development (socioeconomic, urbanisation and migration) and treatment status using the data from two mental health surveys (1994 and 2015) in people with SMI in rural China. The hypotheses tested in this study are: (a) social development will influence the treatment status of people with SMI; and (b) changes in family circumstances (such as family size, income and family caregivers) will have an impact upon the treatment status of individuals with SMI in the community. The objectives of this study were to: (a) explore the changes in treatment status of individuals with SMI from 1994 to 2015 in rural China; and (b) examine factors influencing treatment status.

Method

Study population and procedures

The study data are derived from the CMHP, a longitudinal study on mental illness and mental health services in Xinjin County, Chengdu, which is a representative middle-income rural county in Southwest China.[2,7,21] People with SMI (with schizophrenia, or mood disorders (bipolar disorder or major depressive disorder)) were identified from two mental health surveys on mental disorders and mental health services in the population who were over 15 years old in the same six townships of Xinjin County, Chengdu, China in 1994 (population: 123 572) and 2015 (population: 152 776) respectively (Fig. 1). The six townships were randomly selected from all 12 townships of Xinjin County in 1994 (total population frame: 279 700).[7]
Fig. 1

Study design and method.

PSE, Present State Examination.

Study design and method. PSE, Present State Examination. The methods of the two mental health surveys in 1994 and 2015 were similar and have been described in detail elsewhere.[2,7,20,21] Briefly, all individuals with mental disorders were identified through two steps: (a) screening procedures for psychosis (face-to-face interviews with the head of each household together with the key informant method) one household by household (as such, the sample screened equalled the response rate of 98.0% × all households in the six random townships), and (b) general psychiatric interview. First, face-to-face interviews were conducted by trained investigators (for example nurses, psychologists or social workers) with each head of household (together with the key-informant method) to identify potential individuals with cases of mental disorder. Another household resident (priority list: parent, spouse, offspring or others) was selected for the interview if the head of household could not be interviewed. The Psychoses Screening Schedule (PSS)[23] was completed by means of interviewing the heads of all the households and discussion with village doctors and neighbourhoods comprising the survey sample. Second, once an individual was identified as a potential patient with psychosis, trained psychiatrists conducted a comprehensive general psychiatric interview with that person for further diagnosis. The inclusive and exclusive criteria of the survey population were the same in the two surveys in 1994 and 2015. The two mental health surveys[2,7] used the same diagnostic criteria, the ICD-10.[24] The field procedures and quality controls were strictly maintained by the surveys team under supervision from the CMHP. Diagnostic reliability had been established in the trained research interviewers including attending psychiatrists with over 5 years clinical experience. The two surveys were approved by the University Human Research Ethics Committee (HREC; 1994: West China University of Medical Sciences, 2015: The University of Hong Kong) and all participants gave informed consent at each stage of the study.

Measurement

The standardised assessment tools included the PSS, Present State Examination (PSE-9),[25] Social Disability Screening Schedule (SDSS)[26] and the General Psychiatric Interview Schedule[27] (including treatment status) in the mental health survey in 1994.[7,20] The standardised assessment tools mainly included the PSS, ICD-10-AM Symptom Checklist for Mental Disorders (ICD-10-Checklist-AM),[28] Positive and Negative Syndrome Scale,[29] SDSS, Global Assessment of Functioning[30] and the General Psychiatric Interview Schedule (including treatment status) in the mental health survey in 2015.[2,31] After the training session, all the assessment tools reached an acceptable level of reliability between research interviewers (kappa (κ)>0.74 in 1994 and κ>0.75 in 2015). All interviews were conducted by trained psychiatrists using the standardised assessment tools. In the event of a disagreement, a team of research psychiatrists with over 10 years' clinical experience reviewed the participant's case to establish the final diagnosis.

Statistical analysis

Cross-tabulation was performed to compare the economic status and urbanisation rate in China and Xinjin County in 1994 and 2015. Participants' demographic, socioeconomic, psychological outcomes in 1994 and 2015 were assessed using chi-square (χ2) tests for categorical variables and paired samples t-tests for continuous variables normally distributed. Participants' treatment status in 1994 and 2015 were assessed using χ2 tests. A logistic regression model (stepwise) was used to analyse the factors associated with never-treated status in 1994 and 2015. The never-treated status (never being treated or only once treated with medication) was considered as the dependent variable, whereas the other variables (such as gender, age, family caregivers, family history of mental illness, family economic status, duration of illness, present mental status, etc.) were the independent variables. Both backward and forward inclusions of variables in the logistic regression equation were tested to identify the most stable model. All statistical tests were two-tailed with a significance level of 0.05. All statistical analyses were conducted using SPSS statistical software (IBM SPSS Statistics for Windows, Version 24.0).

Results

Socioeconomic status

Table 1 shows the socioeconomic status and urbanisation rate from 1994 to 2015. GDP in China and Xinjin, Chengdu from 1994 to 2015 has increased 1416.7% and 2289.0%, respectively. The urbanisation rate in Xinjin increased from 20.1% in 1994 to 53.8% in 2015, which is similar to the China average. Compared with the annual net income per person in the population in Xinjin, Chengdu, the annual net income per person in participants with SMI was significantly lower in both 1994 and 2015 (P<0.001), and the rate of different annual net income per person between the population and participants with SMI was 19.8% in 1994 and 100.2% in 2015, respectively (Fig. 2). The rate of poor family economic status (less than mean level) was significantly higher in 2015 (65.2%) than that in 1994 (48.2%) (P<0.001) (Table 2).
Table 1

Differences in economic status in 1994 and 2015

19942015Differences, %
GDP in China (RMB in billions)4863.868 905.2↑1316.7
GDP in Xinjin, Chengdu (RMB in millions)1005.623 018.0↑2189.0
Annual net income per person in population in Xinjin, Chengdu (RMB)1330.0***16 856.0***↑1167.4
Annual net income per person in participants with SMI in Xinjin, Chengdu (RMB)1110.0***8420.1***↑658.6
Urbanisation rate in China, %28.556.1↑96.8
Urbanisation rate in Xinjin, Chengdu, %20.153.8↑167.7

SMI, severe mental illness.

a. Annual net income per person in population in Xinjin versus annual net income per person in participants with a SMI in Xinjin, Chengdu.

P<0.001.

Fig. 2

Difference in annual income per person in 1994 and 2015 in the population in Xinjin compared with people with severe mental illness.

Table 2

Characteristics of people with severe mental illness in 1994 and 2015

1994(n = 711)2015(n = 1042)
Gender, men: n (%)338 (47.5)471 (45.2)
Married, n (%)471 (66.2)651 (62.5)
Family economic status (less than mean level), n (%)343 (48.2)679 (65.2)***
With family history of mental illness, n (%)202 (28.4)152 (14.6)***
With family member(s) who worked in other areas over half a year,b n (%) 198 (19.0)
Family caregivers, n (%)
Parents137 (19.3)145 (13.9)***
Spouse378 (53.2)573 (55.0)
Others127 (17.9)156 (15.0)
Without caregivers69 (9.7)168 (16.1)
Present mental status,a n (%)
Full remission178 (25.0)161 (15.5)***
Partial remission170 (23.9)225 (21.6)
Marked symptoms/deteriorated363 (51.1)656 (63.0)
Age, years: mean (s.d.)44.5 (15.6)56.0 (14.2)***
Educational level, years: mean (s.d.)5.2 (1.2)5.3 (3.6)
Number of family members, mean (s.d.)3.4 (1.5)3.0 (1.5)***
Annual net income per person (RMB), mean (s.d.)1110 (923.3)8420.1 (7927.1)***
Age at first onset, years: mean (s.d.)30.6 (12.9)38.0 (16.1)***
Duration of illness, years: mean (s.d.)12.3 (11.7)17.3 (13.8)***

a. Full remission: there are not any significant signs or symptoms of illness, the period of remission has been more than 2 months. Partial remission: there are no significant symptoms, but the period of remission has been less than 2 months. Marked symptoms/deteriorated: there are marked symptoms and deterioration of functioning.

b. Data was not collected for this in 1994.

P<0.001.

Difference in annual income per person in 1994 and 2015 in the population in Xinjin compared with people with severe mental illness. Differences in economic status in 1994 and 2015 SMI, severe mental illness. a. Annual net income per person in population in Xinjin versus annual net income per person in participants with a SMI in Xinjin, Chengdu. P<0.001. Characteristics of people with severe mental illness in 1994 and 2015 a. Full remission: there are not any significant signs or symptoms of illness, the period of remission has been more than 2 months. Partial remission: there are no significant symptoms, but the period of remission has been less than 2 months. Marked symptoms/deteriorated: there are marked symptoms and deterioration of functioning. b. Data was not collected for this in 1994. P<0.001.

Characteristics of participants with SMI in 1994 and 2015

Table 2 shows the characteristics of participants with SMI in 1994 and 2015. In 1994, there were 711 people with SMI (schizophrenia: 515 (72.4%), and mood disorders: 196 (27.6%)). In 2015, there were 1042 participants with SMI (schizophrenia: 671 (64.4%), and mood disorders: 371 (35.6%)) (χ2 = 12.5, d.f. = 1, P<0.001). Compared with participants with SMI in 1994, participants with SMI in 2015 were significantly older, and had significantly fewer family members, an older age at first onset, a longer duration of illness, a lower rate of family history of mental illness, a higher rate of being without family caregivers, a higher rate of poor family economic status (compared with the average family in the village) and lower rates of full and partial remission (P<0.001).

Treatment status in participants with SMI in 1994 and 2015

Table 3 shows the treatment status for participants with SMI in 1994 and 2015. Compared with participants with SMI in 1994, participants in 2015 had significantly higher rates of never being treated, taking antipsychotic drugs and ever being admitted to hospital and lower rates of taking antipsychotic drugs for ≤2 months, ever being treated with traditional Chinese medicine, and ever being treated by traditional/spiritual healers (P<0.001). Compared with participants aged 18–64 years, elderly participants (age ≥65 years) had significantly higher rates of never being treated, and lower rates of ever being admitted to hospital in 1994 and 2015 (P<0.001). Elderly participants (age ≥65 years) had significantly lower rates of taking antipsychotic drugs for more than 1 year and taking antipsychotic drugs than those aged 18–64 years in 2015 (P<0.001).
Table 3

Treatment status in people with severe mental illness in 1994 and 2015

1994, n (%)2015, n (%)
Age 18–64 (n = 633)Age ≥65(n = 78)Total(n = 711)Age 18–64 (n = 724))Age ≥65 (n = 318)Total(n = 1042)
Never being treated167 (26.4)34 (43.6)***201 (28.3)241 (33.3)147 (46.2)***388 (37.2)†††
Antipsychotic drugs ≤2 months128 (20.2)14 (17.9)142 (20.0)50 (6.9)31 (9.7)81 (7.8)†††
Antipsychotic drugs >1 yeara225 (31.1)66 (20.8)***291 (27.9)
Taking antipsychotic drugs38 (6.0)1 (1.3)39 (5.5)159 (22.0)39 (12.3)***198 (19.0)†††
Being in mental hospital9 (1.4)0 (0.0)9 (1.3)18 (2.5)6 (1.9)24 (2.3)
Ever admitted to hospital155 (24.5)8 (10.3)***163 (22.9)273 (37.7)83 (26.1)***356 (34.2)†††
Ever treatment with traditional Chinese medicine430 (67.9)42 (53.9)*472 (66.4)32 (4.4)22 (6.9)54 (5.2)†††
Ever treated by traditional/spiritual healers331 (52.3)37 (47.4)368 (51.8)98 (13.5)27 (8.5)*125 (12.0)†††

a. Data was not collected for this in 1994.

*P<0.05, ***P<0.001 for age 18–64 versus age ≥65; †††P<0.001 for 1994 total versus 2015 total.

Treatment status in people with severe mental illness in 1994 and 2015 a. Data was not collected for this in 1994. *P<0.05, ***P<0.001 for age 18–64 versus age ≥65; †††P<0.001 for 1994 total versus 2015 total.

Factors associated with the never-treated status in participants with SMI

Table 4 shows the factors associated with the never-treated status for participants with SMI in 1994 and 2015. The factors associated with never-treated status in the final logistic regression model included poor mental status (marked symptoms/deteriorated), older age, no family caregivers and shorter duration of illness (years) in 1994 and 2015 (P<0.05 or <0.001). Moreover, the factors associated with never-treated status in the final logistic regression model also included no family history of mental illness and poor family economic status (less than mean level) in 2015 (P<0.05).
Table 4

Factors independently associated with the never-treated status for participants with severe mental illness

19942015
WaldOR (95% CI)WaldOR (95% CI)
Poor mental status (symptoms/deteriorated)49.983.25 (2.34–4.51)***37.712.47 (1.85–3.30)***
Older age14.641.03 (1.02–1.05)***24.051.05 (1.03–1.06)***
Without family caregivers5.502.63 (1.17–5.92)*12.631.60 (1.24–2.07)***
Shorter duration of illness, years4.311.02 (1.01–1.05)*38.281.05 (1.04–1.07)***
Without family history of mental illness6.302.19 (1.19–4.02)*
Poor family economic status (less than mean level)4.041.20 (1.01–1.44)*

Logistic regression analysis.

*P<0.05; ***P<0.001.

Factors independently associated with the never-treated status for participants with severe mental illness Logistic regression analysis. *P<0.05; ***P<0.001.

Discussion

To the best of our knowledge, this is the first study to compare the 21-year (1994–2015) change in treatment status for people with SMI in a Chinese rural community.[2] This study contributes rigorous empirical evidence on the change in, and factors associated with, treatment status in individuals with SMI in rural China. The strengths of this study include the use of two mental health surveys with large representative community samples, identical methods and diagnostic criteria in the same rural area in China, and its 21-year (1994–2015) comparative data.

Change in treatment status from 1994 to 2015

The results of this study indicated that participants in 2015 had significantly higher rates of never being treated, taking antipsychotic drugs and ever being admitted to hospital, and had significantly lower rates of taking antipsychotic drugs for ≤2 months than those in 1994. The results indicate that treatment with antipsychotic drugs has improved significantly, but it is still a crucial issue to reduce further the number of people with SMI who have never received treatment (28.3% in 1994 and 37.2% in 2015) in rural China.[7] The rate of never being treated with antipsychotic drugs of 28.3% in 1994 is consistent with a study in four provinces in China during 2001–2005 (27.6%).[3] The results in our study show that the rate of ever being admitted to hospital in individuals with SMI increased from 24.2% in 1994 to 36.5% in 2015. Compared with Western countries, the rates of ever being admitted to hospital and taking antipsychotic drugs in people with SMI are still very low in rural China.[32,33] Possible reasons may be related to the patients' poor family economic level, lack of knowledge of mental illness and health disparity between rural and urban areas in China (for example most available health resources and services are concentrated in urban-based psychiatric hospitals) .[3,7,21] The results of this study indicated that participants in 2015 had significantly lower rates of ever having been treated with traditional Chinese medicine and by traditional/spiritual healers than that in 1994. Traditionally, the use of traditional/spiritual healers has been common as they are affordable and accessible, especially in Chinese rural areas.[34] Although little evidence exists to suggest that traditional healers change the course of SMI, individuals with SMI may commonly seek help from traditional/spiritual healers as a means to cope with their illness, which may delay taking medication.[35,36] The decrease of the rates of ever having been treated with traditional Chinese medicine or by traditional/spiritual healers from 1994 to 2015 may be related to the increase in knowledge about mental illness, the availability of mental health facilities and the change in help-seeking behaviour with socioeconomic development.[7,21]

Economic status and treatment status

The results of this study showed that the annual net income per person in people with SMI was significantly increased from 1994 to 2015 (658.6%), but the increase rate was significantly lower than that in all the population of Xinjin, Chengdu (1167.4%). The annual net income per person with SMI did increase from 1994 to 2015, but the population of Xinjin had a significantly higher increase rate of annual net income, and the rate of poor family economic status (less than the mean level) in those with SMI was significantly higher in 2015 than that in 1994. The findings of this study are consistent with previous studies that indicate the association between SMI and poverty, especially in low- and middle-income countries.[37] The results of this study also indicate that the family economic status of individuals with SMI has deteriorated and the relative poverty (the level of income in relation to the mean or median income of a population) has become more severe from 1994 to 2015. We suggest that the relative poverty in people with SMI will become more severe with ongoing socioeconomic development (see Ran et al).[38] Moreover, poor family economic status associated with stigma and changes in life circumstances (for example education, employment) may have a greater impact on mental healthcare, such as resulting in never-being treated status, in those with SMI in communities.[18,19,38] Thus, it is crucial to protect the socioeconomic and environmental status of patients with SMI from declining further and further.[37,38]

Family structure, family caregivers and treatment status

Traditionally family caregivers are crucial in the care and treatment of individuals with mental disorders in China.[21,34] The results of this study showed that the rate of those without family caregivers was significantly higher in participants in 2015 (16.1%) compared with 1994 (9.7%), and the mean number of family members was significantly decreased from 3.4 (s.d. = 1.5) in 1994 to 3.0 (s.d. = 1.5) in 2015. The results indicate the impact of social development on family structure (for example family size) and family caregivers, which may have an impact on healthcare systems in China. Smaller family size and lack of family caregivers were both found to be important factors associated with individuals never being treated, which is consistent with previous studies.[21] Poor knowledge of mental disorders and stigma associated with mental illness may also prohibit family caregivers and individuals with SMI from seeking treatment.[6,18,31]

Clinical factors and treatment status

The results of this study showed that participants in 2015 were significantly older at age of first onset, had significantly lower rates of full and partial remission, and longer duration of illness than those in 1994. Moreover, factors associated with never-being treated status in the regression model included poor mental status (symptoms/deteriorated), shorter duration of illness and no family history of mental illness. This indicates that the more severe the symptoms the less likely people with SMI will go to see doctors, but the longer the duration of illness the more chance those with SMI will go to see doctors. This is consistent with a few other studies in China,[7,20] but inconsistent with studies in Western countries in which the association between greater severity and receipt of treatment among adults was positive and did not differ over time.[39,40] This may be a specific situation in rural China, and the reasons may include (a) lower awareness and knowledge of and stigma attached to mental illness may prevent individuals from seeking treatment; (b) growing numbers of older people with SMI who may not seek treatment; and (c) poor family economic status, without family caregivers and lack of national health insurance to guarantee treatment for those with SMI in China.[7,21,38]

Other factors and treatment status

Evidence indicates that levels of treatment for older adults with SMI are very low in general, and younger and older adults with SMI may have different patterns of treatment status.[41,42] The results of this study also showed that elderly people (≥65 years) with SMI had significantly higher rates of never being treated and lower rates of ever being admitted to hospital than younger participants (age 18–64 years) in 1994 and 2015. Older age was maintained in the final logistic regression model for never-treated status, which is consistent with previous studies indicating family members of older people with mental disorders have low mental literacy and are more likely to believe that it is unnecessary to receive treatment.[21,42,43] Evidence also shows that older people with mental illness face more negative attitudes and are the least likely to report any perceived need for mental healthcare.[44,45]

Social development theory for people with mental illness

Based on this empirical evidence, we propose a social development theory for people with mental illness. First, with social development, mental health issues including treatment and recovery will gradually become more important. Second, factors related to social development (such as socioeconomic status, urbanisation, migration) may influence the onset of mental illness, family structure (for example family size, knowledge) and family economic status (for example, income, especially level of relative poverty), health status (symptoms and diagnosis), treatment status of individuals with mental illness and the outcome of the mental illness. Social development will influence treatment status (type, length and adherence with treatment) through predisposing, need and enabling factors.[14] Further studies need to be conducted to test the model.

Limitations of the study

The limitations of this study include the differences in symptom tools (for example PSE and ICD-10-Checklist-AM) in 1994 and 2015, but the same diagnostic criteria (ICD-10) may minimise the issue. Different attitudes relating to the stigma relating to mental disorders and response bias may affect the responses in the two surveys. Treatment status may be different in people with schizophrenia, bipolar disorder and major depressive disorder and this needs further study. Given the diversity of social and cultural variances in socioeconomic and healthcare characteristics, the results of this study may not be generalisable or replicable in urban areas, other areas with different characteristics in China and other high-income countries.

Implications for policy and services

The results of this study indicate that social development (for example socioeconomic, urbanisation, migration) may influence the treatment status of individuals with SMI positively or negatively. Understanding and monitoring the change in treatment status and its predictors in people with SMI should be crucial for formulating health policies, enhancing awareness of the importance of treatment, scaling up effective and cost-effective treatments and interventions, and improving mental health recovery.[10,16] Except hospital-based services, community-based mental health services should be strengthened for people with mental illness in communities.[6,10,21] Health resources should be equitably distributed in rural and urban areas so that health disparities may be reduced. General physicians and primary health workers (such as village doctors) should be trained to provide community-based services in rural China.[3,6,7] Developing health policies, national health insurance and interventions to promote access to mental health services (medication and other effective psychosocial interventions), especially in rural China, is crucial for realising the aims of Healthy China 2030.[3,31,34] Moreover, the long-term goal should be to improve the mental healthcare, treatment and recovery of people with mental illness. Understanding the impact of social development on mental illness and relevant treatment will enhance effective promotion of mental health. The findings of this study suggest that social development (socioeconomic, urbanisation, migration) may result in the outcome of SMI being more severe (for example lower rates of full and partial remission). Poor mental status (symptoms/deteriorated) may in fact be a barrier to treatment, which may be because of stigmatisation associated with mental illness, especially in the Chinese context.[31,46] It is an important long-term process to improve access, comprehensiveness and quality of services for those with SMI during a period of social development. Given limited resources, it is crucial to develop early diagnosis, treatment, community-based mental health services and recovery programmes for people with SMI in rural China.[6] Evidence indicates that mental illness and poverty interact in a negative cycle within low- and middle-income countries.[37,38] The results of this study indicate that even though socioeconomic development in China may raise the mean family income, it may also result in making relative poverty more severe in people with SMI in the community. Family poverty, especially relative poverty, is significantly associated with never-being treated status. The results of this study provide solid theoretical support for developing targeted poverty-alleviation policies for reducing poverty in people with mental disorders and their families in the community.[38] A national health insurance system and other relevant support programmes (such as occupational training and employment) should be developed to guarantee mental health treatment and recovery for those with SMI.[47] Evidence indicates that the absence of a family caregiver is a predictive factor for poor long-term outcome for individuals with schizophrenia in a rural community.[21] The results of this study show that family caregivers play an important role in the care and treatment of those with SMI in rural China. Given the limited social networks for people with SMI, it is crucial to emphasise the role of family caregivers and empower family members in mental health policies, community-based mental health services and family interventions.[21,34,48]
  39 in total

1.  Comparison of characteristics between geriatric and younger subjects with schizophrenia in community.

Authors:  Mao-Sheng Ran; Meng-Ze Xiang; Yeates Conwell; J Steven Lamberti; Ming-Sheng Huang; You-He Shan; Xian-Zhang Hu
Journal:  J Psychiatr Res       Date:  2004 Jul-Aug       Impact factor: 4.791

2.  Socioeconomic status and mental illness: tests of the social causation and selection hypotheses.

Authors:  Christopher G Hudson
Journal:  Am J Orthopsychiatry       Date:  2005-01

3.  The public mental health significance of research on socio-economic factors in schizophrenia and major depression.

Authors:  Benedetto Saraceno; Itzhak Levav; Robert Kohn
Journal:  World Psychiatry       Date:  2005-10       Impact factor: 49.548

Review 4.  Financing mental health services in low- and middle-income countries.

Authors:  Anna Dixon; David McDaid; Martin Knapp; Claire Curran
Journal:  Health Policy Plan       Date:  2006-03-13       Impact factor: 3.344

5.  Mental health and poverty in developing countries: revisiting the relationship.

Authors:  Jishnu Das; Quy-Toan Do; Jed Friedman; David McKenzie; Kinnon Scott
Journal:  Soc Sci Med       Date:  2007-04-25       Impact factor: 4.634

6.  Natural course of schizophrenia: 2-year follow-up study in a rural Chinese community.

Authors:  M Ran; M Xiang; M Huang; Y Shan
Journal:  Br J Psychiatry       Date:  2001-02       Impact factor: 9.319

7.  Prevalence and treatment of mental disorders, 1990 to 2003.

Authors:  Ronald C Kessler; Olga Demler; Richard G Frank; Mark Olfson; Harold Alan Pincus; Ellen E Walters; Philip Wang; Kenneth B Wells; Alan M Zaslavsky
Journal:  N Engl J Med       Date:  2005-06-16       Impact factor: 91.245

8.  Failure and delay in initial treatment contact after first onset of mental disorders in the National Comorbidity Survey Replication.

Authors:  Philip S Wang; Patricia Berglund; Mark Olfson; Harold A Pincus; Kenneth B Wells; Ronald C Kessler
Journal:  Arch Gen Psychiatry       Date:  2005-06

9.  Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys.

Authors:  Koen Demyttenaere; Ronny Bruffaerts; Jose Posada-Villa; Isabelle Gasquet; Viviane Kovess; Jean Pierre Lepine; Matthias C Angermeyer; Sebastian Bernert; Giovanni de Girolamo; Pierluigi Morosini; Gabriella Polidori; Takehiko Kikkawa; Norito Kawakami; Yutaka Ono; Tadashi Takeshima; Hidenori Uda; Elie G Karam; John A Fayyad; Aimee N Karam; Zeina N Mneimneh; Maria Elena Medina-Mora; Guilherme Borges; Carmen Lara; Ron de Graaf; Johan Ormel; Oye Gureje; Yucun Shen; Yueqin Huang; Mingyuan Zhang; Jordi Alonso; Josep Maria Haro; Gemma Vilagut; Evelyn J Bromet; Semyon Gluzman; Charles Webb; Ronald C Kessler; Kathleen R Merikangas; James C Anthony; Michael R Von Korff; Philip S Wang; Traolach S Brugha; Sergio Aguilar-Gaxiola; Sing Lee; Steven Heeringa; Beth-Ellen Pennell; Alan M Zaslavsky; T Bedirhan Ustun; Somnath Chatterji
Journal:  JAMA       Date:  2004-06-02       Impact factor: 56.272

10.  Effectiveness of psychoeducational intervention for rural Chinese families experiencing schizophrenia--a randomised controlled trial.

Authors:  Mao-Sheng Ran; Meng-Ze Xiang; Cecilia Lai-Wan Chan; Julian Leff; Peggy Simpson; Ming-Sheng Huang; You-He Shan; Si-Gan Li
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2003-02       Impact factor: 4.328

View more
  10 in total

1.  Factor Structures of General Health Questionnaire-12 Within the Number of Kins Among the Rural Residents in China.

Authors:  Ming Guan; Bingxue Han
Journal:  Front Psychol       Date:  2019-08-02

2.  Exploration of recovery of people living with severe mental illness (SMI) in low/middle-income countries (LMICs): a scoping review.

Authors:  Fadia Gamieldien; Roshan Galvaan; Bronwyn Myers; Zarina Syed; Katherine Sorsdahl
Journal:  BMJ Open       Date:  2021-03-24       Impact factor: 2.692

Review 3.  Disease-Related Risk Factors for Caregiver Burden among Family Caregivers of Persons with Schizophrenia: A Systematic Review and Meta-Analysis.

Authors:  Man-Man Peng; Jianli Xing; Xinfeng Tang; Qinglu Wu; Dannuo Wei; Mao-Sheng Ran
Journal:  Int J Environ Res Public Health       Date:  2022-02-07       Impact factor: 3.390

4.  Development and Poverty Dynamics in Severe Mental Illness: A Modified Capability Approach in the Chinese Context.

Authors:  Yue-Hui Yu; Man-Man Peng
Journal:  Int J Environ Res Public Health       Date:  2022-02-18       Impact factor: 3.390

5.  Determinants of never-treated status in rural versus urban contexts for individuals with schizophrenia in a population-based study in China.

Authors:  Lawrence H Yang; Michael R Phillips; Xianyun Li; Gary Yu; Margaux M Grivel; Jingxuan Zhang; Qichang Shi; Zhijie Ding; Shutao Pang; Ezra Susser
Journal:  BMC Psychiatry       Date:  2022-02-17       Impact factor: 4.144

6.  Predictors of family caregiving burden of persons with schizophrenia with and without transition of primary caregivers from 1994 to 2015 in rural China.

Authors:  Man-Man Peng; Zhiying Ma; She-Ying Chen; Wei Luo; Shi-Hui Hu; Xin Yang; Bo Liu; Cecilia Lai-Wan Chan; Mao-Sheng Ran
Journal:  BJPsych Open       Date:  2022-04-01

7.  Experiences and challenges faced by community mental health workers when providing care to people with mental illness: a qualitative study.

Authors:  Chaoyang Li; Fen Yang; Bing Xiang Yang; Wencai Chen; Qinyu Wang; Haishan Huang; Qian Liu; Dan Luo; Xiao Qin Wang; Juan Ruan
Journal:  BMC Psychiatry       Date:  2022-09-21       Impact factor: 4.144

8.  Mental health resources and its equity in Central South of China: A case study of Hunan Province.

Authors:  Bang-An Luo; Sheng Li; Si Chen; Lu-Lu Qin; Yi-Wei Chen; Man-Ling Shu; Xin-Yi Liao
Journal:  PLoS One       Date:  2022-10-12       Impact factor: 3.752

9.  Mortality and suicide in schizophrenia: 21-year follow-up in rural China.

Authors:  Mao-Sheng Ran; Yunyu Xiao; Seena Fazel; Yeonjin Lee; Wei Luo; Shi-Hui Hu; Xin Yang; Bo Liu; Maria Brink; Sherry Kit Wa Chan; Eric Yu-Hai Chen; Cecilia Lai-Wan Chan
Journal:  BJPsych Open       Date:  2020-10-15

10.  Household poverty in people with severe mental illness in rural China: 1994-2015.

Authors:  Yue-Hui Yu; Wei Luo; Man-Xi He; Xin Yang; Bo Liu; Yu Guo; Graham Thornicroft; Cecilia Lai Wan Chan; Mao-Sheng Ran
Journal:  BJPsych Open       Date:  2020-09-17
  10 in total

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