Participation in a free medication program among non-registered permanent residents with severe mental disorders in Bao'an district, Shenzhen, China and its influencing factors.

BACKGROUND: In 2016, the government of Bao'an District, Shenzhen, China launched a free medication program for all non-registered permanent residents with severe mental disorders (SMD) within its jurisdiction, in efforts to reduce the relapse caused by intermittent medication or non-medication. Participation in the program has not been analyzed since its inauguration. This study aimed to evaluate the participation of non-registered permanent residents with SMD in the program from 2016 to 2020 and to explore its influencing factors. METHODS: This is a retrospective cross-sectional study of 3760 non-registered permanent residents with SMD in Bao'an District, Shenzhen, China (response rate: 78.64%). Data have been obtained from two sources: the Shenzhen Information System for Psychosis in 2020 and the free medication program's management files from 2016 to 2020. We employ descriptive statistics to analyze the participation rate of the free medication program among non-registered permanent patients. Logistic regression analysis is used to explore the factors affecting the patients' participation in the program. RESULTS: The participation rate of the free medication program among non-registered permanent patients has shown an upward trend, rising from 28.83% in 2016 to 58.32% in 2020. High participation rates have been registered among the following patient subgroups: those aged between 30 and 39 (63.11%), those with high school/technical secondary school (62.33%), those from rural areas (61.62%), those living in poverty (67.79%), those suffering schizoaffective disorder (72.26%), those having SMD for less than 5 years (59.89%), and those with family history of mental illness (71.23%).Logistics regression analysis shows that age, patient-guardian relationship, place of residence, financial condition, types of disease, duration of illness and family history are the main factors affecting the patients' decision to participate in the free medication program. CONCLUSION: The steadily increasing participation rate of the free medication program indicates that the program has been gradually accepted and recognized by non-registered permanent residents with SMD. However, nearly half of the patients have yet to join the program. To further raise the participation rate, special attention should be given to patients who are financially secure, aged below 20, without guardians, intellectually disabled or suffering SMD for over 5 years.

Health-related quality of life and health service utilization in Chinese rural-to-urban migrant workers.

OBJECTIVES: The number of rural-to-urban migrant workers has been increasing rapidly in China over recent decades, but there is a scarcity of data on health-related quality of life (HRQOL) and health service utilization among Chinese rural-to-urban migrant workers in comparison to local urban residents. We aimed to address this question. METHODS: This was a cross-sectional study of 2315 rural-to-urban migrant workers and 2347 local urban residents in the Shenzhen-Dongguan economic zone (China) in 2013. Outcomes included HRQOL (measured by Health Survey Short Form 36) and health service utilization (self-reported). RESULTS: Compared to local urban residents, rural-to-urban migrant workers had lower scores in all domains of HRQOL, and were more likely to report chronic illnesses (9.2% vs. 6.0%, adjusted OR = 1.62, 95% CI 1.28-2.04) and recent two-week morbidity (21.3% vs. 5.0%, adjusted OR = 5.41, 95% CI 4.26-6.88). Among individuals who reported sickness in the recent two weeks, migrant workers were much less likely to see a doctor (32.7% vs. 66.7%, adjusted OR = 0.21, 95% CI 0.13-0.36). CONCLUSIONS: Chinese rural-to-urban migrant workers have lower HRQOL, much more frequent morbidity, but are also much less likely to see a doctor in times of sickness as compared to local urban residents, indicating the existence of significant unmet medical care needs in this population.