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Associations between Primary Healthcare Experiences and Glycemic Control Status in Patients with Diabetes: Results from the Greater Bay Area Study, China

Author

Listed:
  • Junfeng Lu

    (Department of Health Management, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
    These authors contributed equally to this work.)

  • Hui Yang

    (Department of Biostatistics, School of Public Health, and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai 200032, China
    These authors contributed equally to this work.)

  • Leiyu Shi

    (John Hopkins School of Public Health, Baltimore, MD 21205, USA)

  • Xia Sheng

    (Department of Health Management, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China)

  • Yongjun Huo

    (Department of Health Management, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China)

  • Ruqing Liu

    (Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China)

  • Ruwei Hu

    (Department of Health Management, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China)

Abstract

Primary healthcare (PHC) plays an important role in diabetes management; community health centers (CHCs) serve as the main providers of PHC. However, few studies have discussed the association between the service quality of PHC and the effects of diabetes management. In this study, we explored the associations between experiences of PHC in CHCs and glycemic control status in patients with diabetes mellitus. This study was conducted in six CHCs in the Greater Bay Area of China. In total, 418 patients with diabetes mellitus (44% males and 56% females) were recruited between August and October 2019. We evaluated their PHC experiences using the Primary Care Assessment Tool (PCAT) developed by Johns Hopkins and assessed their glycemic control status by measuring their fasting plasma glucose levels. Binary logistic regression analyses were conducted to assess the associations between the patients’ PHC experiences and glycemic control status, adjusting for covariates. The patients with good glycemic control had significantly higher total and dimensional PCAT scores compared with those with poor glycemic control ( p < 0.05). Higher PCAT scores were significantly associated with a greater adjusted odds ratios (aORs) of good glycemic control for total and dimensional PCAT scores. For example, compared to those with poor glycemic control, the aORs for those with good glycemic control was 8.82 (95% CI = 4.38–17.76) per total PCAT score increasing. Especially, the aORs for those with good glycemic control were 3.92 (95% CI = 2.38–6.44) and 4.73 (95% CI = 2.73–8.20) per dimensional PCAT score of family-centeredness and community orientation increasing, respectively. Better PHC experiences were associated with better diabetes management. In particular, family-centered and community-oriented CHCs may help improve diabetes management in China and other low- and middle-income countries.

Suggested Citation

  • Junfeng Lu & Hui Yang & Leiyu Shi & Xia Sheng & Yongjun Huo & Ruqing Liu & Ruwei Hu, 2023. "Associations between Primary Healthcare Experiences and Glycemic Control Status in Patients with Diabetes: Results from the Greater Bay Area Study, China," IJERPH, MDPI, vol. 20(2), pages 1-11, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:1120-:d:1028991
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    References listed on IDEAS

    as
    1. Zhaoxin Wang & Jianwei Shi & Zhigui Wu & Huiling Xie & Yifan Yu & Ping Li & Rui Liu & Limei Jing, 2017. "Changes in chronic disease management among community health centers (CHCs) in China: Has health reform improved CHC ability?," International Journal of Health Planning and Management, Wiley Blackwell, vol. 32(3), pages 317-328, July.
    2. Guangwen Gong & Yingchun Chen & Hongxia Gao & Dai Su & Jingjing Chang, 2019. "Has the Efficiency of China’s Healthcare System Improved after Healthcare Reform? A Network Data Envelopment Analysis and Tobit Regression Approach," IJERPH, MDPI, vol. 16(23), pages 1-12, December.
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    4. Aiyun Chen & Shanshan Feng & Liang Zhang & Leiyu Shi, 2020. "Comparison of Patients’ Perceived Quality of Primary Care Between Urban and Rural Community Health Centers in Guangdong, China," IJERPH, MDPI, vol. 17(13), pages 1-16, July.
    5. Martin C S Wong & Harry H X Wang & Samuel Y S Wong & Xiaolin Wei & Nan Yang & Zhenzhen Zhang & Haitao Li & Yang Gao & Donald K T Li & JinLing Tang & Jiaji Wang & Sian M Griffiths, 2012. "Performance Comparison among the Major Healthcare Financing Systems in Six Cities of the Pearl River Delta Region, Mainland China," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-9, September.
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