IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i11p6392-d823094.html
   My bibliography  Save this article

Rural–Urban Differences in Non-Local Primary Care Utilization among People with Osteoarthritis: The Role of Area-Level Factors

Author

Listed:
  • Xiaoxiao Liu

    (Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
    McCaig Bone and Joint Health Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
    O’Brien Institute for Public Health, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Judy E. Seidel

    (Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
    O’Brien Institute for Public Health, University of Calgary, Calgary, AB T2N 1N4, Canada
    Applied Research and Evaluation Services, Alberta Health Services, Edmonton, AB T5G 0B7, Canada)

  • Terrence McDonald

    (O’Brien Institute for Public Health, University of Calgary, Calgary, AB T2N 1N4, Canada
    Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Nigel Waters

    (O’Brien Institute for Public Health, University of Calgary, Calgary, AB T2N 1N4, Canada
    Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada
    Department of Civil Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
    Department of Environmental Science and Policy, College of Science, George Mason University, Fairfax, VA 22030, USA)

  • Alka B. Patel

    (Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
    O’Brien Institute for Public Health, University of Calgary, Calgary, AB T2N 1N4, Canada
    Applied Research and Evaluation Services, Alberta Health Services, Edmonton, AB T5G 0B7, Canada)

  • Rizwan Shahid

    (O’Brien Institute for Public Health, University of Calgary, Calgary, AB T2N 1N4, Canada
    Applied Research and Evaluation Services, Alberta Health Services, Edmonton, AB T5G 0B7, Canada
    Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Stefania Bertazzon

    (O’Brien Institute for Public Health, University of Calgary, Calgary, AB T2N 1N4, Canada
    Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Deborah A. Marshall

    (Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
    McCaig Bone and Joint Health Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
    O’Brien Institute for Public Health, University of Calgary, Calgary, AB T2N 1N4, Canada)

Abstract

The utilization of non-local primary care physicians (PCP) is a key primary care indicator identified by Alberta Health to support evidence-based healthcare planning. This study aims to identify area-level factors that are significantly associated with non-local PCP utilization and to examine if these associations vary between rural and urban areas. We examined rural–urban differences in the associations between non-local PCP utilization and area-level factors using multivariate linear regression and geographically weighted regression (GWR) models. Global Moran’s I and Gi* hot spot analyses were applied to identify spatial autocorrelation and hot spots/cold spots of non-local PCP utilization. We observed significant rural–urban differences in the non-local PCP utilization. Both GWR and multivariate linear regression model identified two significant factors (median travel time and percentage of low-income families) with non-local PCP utilization in both rural and urban areas. Discontinuity of care was significantly associated with non-local PCP in the southwest, while the percentage of people having university degree was significant in the north of Alberta. This research will help identify gaps in the utilization of local primary care and provide evidence for health care planning by targeting policies at associated factors to reduce gaps in OA primary care provision.

Suggested Citation

  • Xiaoxiao Liu & Judy E. Seidel & Terrence McDonald & Nigel Waters & Alka B. Patel & Rizwan Shahid & Stefania Bertazzon & Deborah A. Marshall, 2022. "Rural–Urban Differences in Non-Local Primary Care Utilization among People with Osteoarthritis: The Role of Area-Level Factors," IJERPH, MDPI, vol. 19(11), pages 1-24, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6392-:d:823094
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/11/6392/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/11/6392/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khan, Abdullah A., 1992. "An integrated approach to measuring potential spatial access to health care services," Socio-Economic Planning Sciences, Elsevier, vol. 26(4), pages 275-287, October.
    Full references (including those not matched with items on IDEAS)

    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. Chen, Wendong & Cheng, Long & Chen, Xuewu & Chen, Jingxu & Cao, Mengqiu, 2021. "Measuring accessibility to health care services for older bus passengers: A finer spatial resolution," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Fahui Wang & Quan Tang, 2013. "Planning toward Equal Accessibility to Services: A Quadratic Programming Approach," Environment and Planning B, , vol. 40(2), pages 195-212, April.
    3. Lei Mu & Lijun Xing & Ying Jing & Qinjiang Hu, 2023. "Spatial Optimization of Park Green Spaces by an Improved Two-Step Optimization Model from the Perspective of Maximizing Accessibility Equity," Land, MDPI, vol. 12(5), pages 1-20, April.
    4. Jiahui Qin & Shijia Luo & Disheng Yi & Heping Jiang & Jing Zhang, 2022. "Measuring Cluster-Based Spatial Access to Shopping Stores under Real-Time Travel Time," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    5. Xiaoxiao Liu & Judy E. Seidel & Terrence McDonald & Alka B. Patel & Nigel Waters & Stefania Bertazzon & Rizwan Shahid & Deborah A. Marshall, 2022. "Rural–Urban Disparities in Realized Spatial Access to General Practitioners, Orthopedic Surgeons, and Physiotherapists among People with Osteoarthritis in Alberta, Canada," IJERPH, MDPI, vol. 19(13), pages 1-20, June.
    6. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    7. Matthew Tuson & Berwin Turlach & Kevin Murray & Mei Ruu Kok & Alistair Vickery & David Whyatt, 2021. "Predicting Future Geographic Hotspots of Potentially Preventable Hospitalisations Using All Subset Model Selection and Repeated K-Fold Cross-Validation," IJERPH, MDPI, vol. 18(19), pages 1-21, September.
    8. Danny van Steijn & Juan José Pons Izquierdo & Eduardo Garralda Domezain & Miguel Antonio Sánchez-Cárdenas & Carlos Centeno Cortés, 2021. "Population’s Potential Accessibility to Specialized Palliative Care Services: A Comparative Study in Three European Countries," IJERPH, MDPI, vol. 18(19), pages 1-14, September.
    9. Wei Luo & Fahui Wang, 2003. "Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region," Environment and Planning B, , vol. 30(6), pages 865-884, December.
    10. Zhuolin Tao & Qi Wang, 2022. "Facility or Transport Inequality? Decomposing Healthcare Accessibility Inequality in Shenzhen, China," IJERPH, MDPI, vol. 19(11), pages 1-14, June.
    11. Meijie Chen & Yumin Chen & Xiaoguang Wang & Huangyuan Tan & Fenglan Luo, 2019. "Spatial Difference of Transit-Based Accessibility to Hospitals by Regions Using Spatially Adjusted ANOVA," IJERPH, MDPI, vol. 16(11), pages 1-20, May.
    12. Yuliang Xi & Fu Ren & Shi Liang & Jinghua Zhang & De-Nan Lin, 2014. "Spatial Analysis of the Distribution, Risk Factors and Access to Medical Resources of Patients with Hepatitis B in Shenzhen, China," IJERPH, MDPI, vol. 11(11), pages 1-23, November.
    13. Abatemarco, Antonio & Aria, Massimo & Beraldo, Sergio & Collaro, Michela, 2024. "Measuring health care access and its inequality: A decomposition approach," Economic Modelling, Elsevier, vol. 132(C).
    14. Kilinc, Mehmet Serdar & Milburn, Ashlea Bennett & Heier Stamm, Jessica L., 2017. "Measuring potential spatial accessibility of home healthcare services," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 13-25.
    15. Huanhuan Zhu & Lin Pan & Yiji Li & Huiming Jin & Qian Wang & Xin Liu & Cong Wang & Peng Liao & Xinyang Jiang & Luo Li, 2021. "Spatial Accessibility Assessment of Prehospital EMS with a Focus on the Elderly Population: A Case Study in Ningbo, China," IJERPH, MDPI, vol. 18(19), pages 1-17, September.
    16. Jingya Luan & Yuhong Tian & Chi Yung Jim & Xu Liu & Mengxuan Yan & Lizhu Wu, 2023. "Assessing Spatial Accessibility of Community Hospitals for the Elderly in Beijing, China," IJERPH, MDPI, vol. 20(1), pages 1-19, January.
    17. Kobayashi, Daisuke & Otsubo, Tetsuya & Imanaka, Yuichi, 2015. "The effect of centralization of health care services on travel time and its equality," Health Policy, Elsevier, vol. 119(3), pages 298-306.
    18. Xiao, Weiye & Wei, Yehua Dennis & Wan, Neng, 2021. "Modeling job accessibility using online map data: An extended two-step floating catchment area method with multiple travel modes," Journal of Transport Geography, Elsevier, vol. 93(C).
    19. Amritpal Kaur Khakh & Victoria Fast & Rizwan Shahid, 2019. "Spatial Accessibility to Primary Healthcare Services by Multimodal Means of Travel: Synthesis and Case Study in the City of Calgary," IJERPH, MDPI, vol. 16(2), pages 1-19, January.
    20. Guoqiang Shen & Zhangye Wang & Long Zhou & Yu Liu & Xiaoyi Yan, 2020. "Home-Based Locational Accessibility to Essential Urban Services: The Case of Wake County, North Carolina, USA," Sustainability, MDPI, vol. 12(21), pages 1-21, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:19:y:2022:i:11:p:6392-:d:823094. 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.