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Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference?

BACKGROUND: As one of the most populous metropolitan areas in the Pearl River Delta of South China, Shenzhen attracts millions of migrant workers annually. The objectives of this study were to compare health needs, self-reported health and healthcare utilisation of insured and uninsured migrant work...

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Autores principales: Mou, Jin, Cheng, Jinquan, Zhang, Dan, Jiang, Hanping, Lin, Liangqiang, Griffiths, Sian M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2788549/
https://www.ncbi.nlm.nih.gov/pubmed/19930580
http://dx.doi.org/10.1186/1472-6963-9-214
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author Mou, Jin
Cheng, Jinquan
Zhang, Dan
Jiang, Hanping
Lin, Liangqiang
Griffiths, Sian M
author_facet Mou, Jin
Cheng, Jinquan
Zhang, Dan
Jiang, Hanping
Lin, Liangqiang
Griffiths, Sian M
author_sort Mou, Jin
collection PubMed
description BACKGROUND: As one of the most populous metropolitan areas in the Pearl River Delta of South China, Shenzhen attracts millions of migrant workers annually. The objectives of this study were to compare health needs, self-reported health and healthcare utilisation of insured and uninsured migrant workers in Shenzhen, China, where a new health insurance scheme targeting at migrant workers was initiated. METHODS: A cross-sectional survey using multi-staged sampling was conducted to collect data from migrant factory workers. Statistical tests included logistic regression analysis were used. RESULTS: Among 4634 subjects (96.54%) who responded to the survey, 55.11% were uninsured. Disease patterns were similar irrespective of insurance status. The uninsured were more likely to be female, single, younger and less educated unskilled labourers with a lower monthly income compared with the insured. Out of 1136 who reported illness in the previous two weeks, 62.15% did not visit a doctor. Of the 296 who were referred for inpatient care, 48.65% did not attend because of inability to pay. Amongst those who reported sickness, 548 were insured and 588 were uninsured. Those that were insured, and had easier access to care were more likely to make doctor visits than those who were uninsured. CONCLUSION: Health care utilisation patterns differ between insured and uninsured workers and insurance status appears to be a significant factor. The health insurance system is inequitably distributed amongst migrant workers. Younger less educated women who are paid less are more likely to be uninsured and therefore to pay out of pocket for their care. For greater equity this group need to be included in the insurance schemes as they develop.
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spelling pubmed-27885492009-12-04 Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference? Mou, Jin Cheng, Jinquan Zhang, Dan Jiang, Hanping Lin, Liangqiang Griffiths, Sian M BMC Health Serv Res Research article BACKGROUND: As one of the most populous metropolitan areas in the Pearl River Delta of South China, Shenzhen attracts millions of migrant workers annually. The objectives of this study were to compare health needs, self-reported health and healthcare utilisation of insured and uninsured migrant workers in Shenzhen, China, where a new health insurance scheme targeting at migrant workers was initiated. METHODS: A cross-sectional survey using multi-staged sampling was conducted to collect data from migrant factory workers. Statistical tests included logistic regression analysis were used. RESULTS: Among 4634 subjects (96.54%) who responded to the survey, 55.11% were uninsured. Disease patterns were similar irrespective of insurance status. The uninsured were more likely to be female, single, younger and less educated unskilled labourers with a lower monthly income compared with the insured. Out of 1136 who reported illness in the previous two weeks, 62.15% did not visit a doctor. Of the 296 who were referred for inpatient care, 48.65% did not attend because of inability to pay. Amongst those who reported sickness, 548 were insured and 588 were uninsured. Those that were insured, and had easier access to care were more likely to make doctor visits than those who were uninsured. CONCLUSION: Health care utilisation patterns differ between insured and uninsured workers and insurance status appears to be a significant factor. The health insurance system is inequitably distributed amongst migrant workers. Younger less educated women who are paid less are more likely to be uninsured and therefore to pay out of pocket for their care. For greater equity this group need to be included in the insurance schemes as they develop. BioMed Central 2009-11-21 /pmc/articles/PMC2788549/ /pubmed/19930580 http://dx.doi.org/10.1186/1472-6963-9-214 Text en Copyright ©2009 Mou et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Mou, Jin
Cheng, Jinquan
Zhang, Dan
Jiang, Hanping
Lin, Liangqiang
Griffiths, Sian M
Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference?
title Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference?
title_full Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference?
title_fullStr Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference?
title_full_unstemmed Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference?
title_short Health care utilisation amongst Shenzhen migrant workers: does being insured make a difference?
title_sort health care utilisation amongst shenzhen migrant workers: does being insured make a difference?
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2788549/
https://www.ncbi.nlm.nih.gov/pubmed/19930580
http://dx.doi.org/10.1186/1472-6963-9-214
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