IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i18p3419-d267214.html
   My bibliography  Save this article

Hospitalization Services Utilization Between Permanent and Migrant Females in Underdeveloped Rural Regions and Contributing Factors—A Five-Time Data Collection and Analysis

Author

Listed:
  • Xiaotong Wen

    (Jiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang 330006, China
    These authors contributed equally to this study.)

  • Huilie Zheng

    (Jiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang 330006, China
    These authors contributed equally to this study.)

  • Zhenyi Feng

    (Office of Public Health Studies, University of Hawaii at Mānoa, Honolulu, HI 96822, USA)

  • Winter Tucker

    (School of Community Science, University of Nevada, Reno, NV 89557, USA)

  • Yuanan Lu

    (Jiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang 330006, China
    Office of Public Health Studies, University of Hawaii at Mānoa, Honolulu, HI 96822, USA)

  • Zhaokang Yuan

    (Jiangxi Province Key Laboratory of Preventive Medicine, School of Public Health, Nanchang University, Nanchang 330006, China)

Abstract

The proportion of migrating females has increased, and more often, old females are left in rural regions. Resources are needed to provide suitable hospitalization service to females in underdeveloped rural regions. Using multi-stage hierarchical cluster random sampling method, nine towns from three counties were enrolled in five-time points between 2006 and 2014 in this study. The research subjects of this study were females age 15 and up. Data regarding the utilization of inpatient services were collected and analyzed. Complex sampling logistic regression was conducted to analyze influencing factors. This study reveals that for both permanent females and migrant females, the older their age, the higher their hospitalization rate. The utilization of hospitalization service for permanent females was associated with the occurrence of chronic diseases (adjusted Odds Ratio (aOR) = 5.402). In addition, permanent females suffering from chronic diseases were more likely to avoid hospitalization despite their doctor’s advice (aOR = 34.657) or leave the hospital early against medical advice (AMA) (aOR = 10.009). Interventions to combat chronic diseases and adjust compensation schemes for permanent females need to be provided.

Suggested Citation

  • Xiaotong Wen & Huilie Zheng & Zhenyi Feng & Winter Tucker & Yuanan Lu & Zhaokang Yuan, 2019. "Hospitalization Services Utilization Between Permanent and Migrant Females in Underdeveloped Rural Regions and Contributing Factors—A Five-Time Data Collection and Analysis," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3419-:d:267214
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/18/3419/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/18/3419/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chaofan Li & Lei Dou & Haipeng Wang & Shanshan Jing & Aitian Yin, 2017. "Horizontal Inequity in Health Care Utilization among the Middle-Aged and Elderly in China," IJERPH, MDPI, vol. 14(8), pages 1-13, July.
    2. Jorge Rodríguez-Vignoli & Francisco Rowe, 2018. "How is internal migration reshaping metropolitan populations in Latin America? A new method and new evidence," Population Studies, Taylor & Francis Journals, vol. 72(2), pages 253-273, May.
    3. Liming Lu & Guanyang Zou & Zhi Zeng & Lu Han & Yan Guo & Li Ling, 2014. "Health-Related Quality of Life and Its Correlates among Chinese Migrants in Small- and Medium-Sized Enterprises in Two Cities of Guangdong," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-10, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claudio Costantino & Alessandra Casuccio & Vincenzo Restivo, 2020. "Potential Risks and Factors of Women’s Health Promotion," IJERPH, MDPI, vol. 17(24), pages 1-7, December.
    2. Bei Liu & Hong Chen & Xin Gan, 2019. "How Much Is Too Much? The Influence of Work Hours on Social Development: An Empirical Analysis for OECD Countries," IJERPH, MDPI, vol. 16(24), pages 1-15, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicola Mucci & Veronica Traversini & Gabriele Giorgi & Giacomo Garzaro & Javier Fiz-Perez & Marcello Campagna & Venerando Rapisarda & Eleonora Tommasi & Manfredi Montalti & Giulio Arcangeli, 2019. "Migrant Workers and Physical Health: An Umbrella Review," Sustainability, MDPI, vol. 11(1), pages 1-22, January.
    2. Ramona Pîrvu & Roxana Maria Bădîrcea & Nicoleta Mihaela Doran & Elena Jianu & Lili Țenea & Flavia Murtaza, 2022. "Linking Internal Mobility, Regional Development and Economic Structural Changes in Romania," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    3. Siman Yang & Mengping Zhou & Jingyi Liao & Xinxin Ding & Nan Hu & Li Kuang, 2022. "Association between Primary Care Utilization and Emergency Room or Hospital Inpatient Services Utilization among the Middle-Aged and Elderly in a Self-Referral System: Evidence from the China Health a," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
    4. Busso, Matias & Chauvin, Juan Pablo & Herrera L., Nicolás, 2021. "Rural-urban migration at high urbanization levels," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    5. Andrés Vallone & Coro Chasco, 2020. "Spatiotemporal methods for analysis of urban system dynamics: an application to Chile," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 421-454, April.
    6. Özer İsmet Selçuk & Türk Umut, 2023. "How Does Quality of Life (QOL) Affect Attractiveness of Cities and Internal Migration in Turkey?," Economic Themes, Sciendo, vol. 61(1), pages 85-103, March.
    7. Huiru Zhang & Fanli Meng & Mingsheng Chen, 2023. "Socioeconomic Inequality and Associated Factors Affecting Health Care Utilization among the Elderly: Evidence from the China Health and Retirement Longitudinal Study," Sustainability, MDPI, vol. 15(9), pages 1-13, May.
    8. Giuranno Michele G. & Biswas Rongili, 2019. "Internal Migration and Public Policy," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(4), pages 1-16, October.
    9. Liangwen Zhang & Yanbing Zeng & Lixia Wang & Ya Fang, 2020. "Urban–Rural Differences in Long-Term Care Service Status and Needs Among Home-Based Elderly People in China," IJERPH, MDPI, vol. 17(5), pages 1-18, March.
    10. Bach Nguyen, 2022. "Internal migration and earnings: Do migrant entrepreneurs and migrant employees differ?," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 901-944, August.
    11. Jiaoling Huang & Li Yuan & Hong Liang, 2020. "Which Matters for Medical Utilization Equity under Universal Coverage: Insurance System, Region or SES," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    12. Salvati, Luca, 2020. "Residential mobility and the local context: Comparing long-term and short-term spatial trends of population movements in Greece," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    13. Liangwen Zhang & Yanbing Zeng & Ya Fang, 2017. "The effect of health status and living arrangements on long term care models among older Chinese: A cross-sectional study," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-15, September.
    14. Hongyun Zhou & Jiqing Hong & Su Yang & Yuxuan Huang, 2022. "The Impact of Social Capital on Rural Residents’ Medical Service Utilization in China—An Empirical Study Based on CFPS Data," IJERPH, MDPI, vol. 19(23), pages 1-19, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3419-:d:267214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.