Effectiveness of hierarchical medical system policy: an interrupted time series analysis of a pilot scheme in China

Abstract The Chinese healthcare system faces a dilemma between its hospital-centric approach to healthcare delivery and a rapidly ageing population that requires strong primary care. To improve system efficiency and continuity of care, the Hierarchical Medical System (HMS) policy package was issued in November 2014 and fully implemented in 2015 in Ningbo, Zhejiang province, China. This study aimed to investigate the impact of the HMS on the local healthcare system. We conducted a repeated cross-sectional study with quarterly data collected between 2010 and 2018 from Yinzhou district, Ningbo. The data were analysed with an interrupted time series design to assess the impact of HMS on the changes in levels and trends of three outcome variables: primary care physicians’ (PCPs’) patient encounter ratio (i.e. the mean quarterly number of patient encounters of PCPs divided by that of all other physicians), PCP degree ratio (i.e. the mean degree of PCPs divided by the mean degree of all other physicians, with the mean degree revealing the mean activity and popularity of physicians, which reflected the extent to which he/she coordinated with others in delivering health services), and PCP betweenness centrality ratio (i.e. the mean betweenness centrality of PCPs divided by the mean betweenness centrality of all other physicians; the mean betweenness centrality was interpreted as the mean relative importance of physicians within the network, indicating the centrality of the network). Observed results were compared with counterfactual scenarios computed based on pre-HMS trends. Between January 2010 and December 2018, 272 267 patients visited doctors for hypertension, a representative non-communicable disease with a high prevalence of 44.7% among adults aged 35–75 years, amounting to a total of 9 270 974 patient encounters. We analysed quarterly data of 45 464 observations over 36 time points. Compared to the counterfactual, by the fourth quarter of 2018, the PCP patient encounter ratio rose by 42.7% [95% confidence interval (CI): 27.1–58.2, P < 0.001], the PCP degree ratio increased by 23.6% (95%CI: 8.6–38.5, P < 0.01) and the PCP betweenness centrality ratio grew by 129.4% (95%CI: 87.1–171.7, P < 0.001). The HMS policy can incentivize patients to visit primary care facilities and enhance the centrality of PCPs within their professional network.

[1]  Xiang Chen,et al.  Towards healthy China 2030: Modeling health care accessibility with patient referral. , 2021, Social science & medicine.

[2]  Ran Liao,et al.  Factors affecting health care users’ first contact with primary health care facilities in north eastern China, 2008–2018 , 2021, BMJ Global Health.

[3]  Jinhuan Wang,et al.  An integrative method for analyzing spatial accessibility in the hierarchical diagnosis and treatment system in China. , 2020, Social science & medicine.

[4]  R. Shao,et al.  Factors associated with the choice of primary treatment at the community level among the middle-aged and elderly in China. , 2020, The International journal of health planning and management.

[5]  Jianmin Gao,et al.  Evaluating the effect of hierarchical medical system on health seeking behavior: A difference-in-differences analysis in China. , 2020, Social science & medicine.

[6]  Zuxun Lu,et al.  General practitioners' perspectives of the integrated health care system: a cross-sectional study in Wuhan, China. , 2020, Family practice.

[7]  A. Mills,et al.  Effectiveness of primary care gatekeeping: difference-in-differences evaluation of a pilot scheme in China , 2020, BMJ Global Health.

[8]  Linyan Li,et al.  Incentives to use primary care and their impact on healthcare utilization: Evidence using a public health insurance dataset in China. , 2020, Social science & medicine.

[9]  Yingyao Chen,et al.  Building a People-Centred Integrated Care Model in Urban China: A Qualitative Study of the Health Reform in Luohu , 2020, International journal of integrated care.

[10]  Xiaofeng Zhou,et al.  Incidence rates of health outcomes of interest among Chinese children exposed to selected vaccines in Yinzhou Electronic Health Records: A population-based retrospective cohort study. , 2020, Vaccine.

[11]  Yanbing Zeng,et al.  The Influencing Factors of Health-Seeking Preference and Community Health Service Utilization Among Patients in Primary Care Reform in Xiamen, China , 2020, Patient preference and adherence.

[12]  Jeremy M Grimshaw,et al.  Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: A review. , 2020, Journal of clinical epidemiology.

[13]  Jiao Zhang,et al.  The Willingness for Downward Referral and Its Influencing Factors: A Cross-Sectional Study among Older Adults in Shandong, China , 2020, International journal of environmental research and public health.

[14]  Jay Pan,et al.  10 years of health-care reform in China: progress and gaps in Universal Health Coverage , 2019, The Lancet.

[15]  Chen-Luan Lu,et al.  Impact of China's referral reform on the equity and spatial accessibility of healthcare resources: A case study of Beijing. , 2019, Social science & medicine.

[16]  C. Anderson,et al.  Epidemiology of Cardiovascular Disease in China and Opportunities for Improvement: JACC International. , 2019, Journal of the American College of Cardiology.

[17]  H. Fang,et al.  Containing medical expenditure: lessons from reform of Beijing public hospitals , 2019, BMJ.

[18]  A. Kothari,et al.  How the study of networks informs knowledge translation and implementation: a scoping review , 2019, Implementation Science.

[19]  S. Birch,et al.  The Luohu Model: A Template for Integrated Urban Healthcare Systems in China , 2018, International journal of integrated care.

[20]  S. Birch,et al.  People-centred integrated care in urban China , 2018, Bulletin of the World Health Organization.

[21]  J. J. van de Klundert,et al.  Why patients prefer high-level healthcare facilities: a qualitative study using focus groups in rural and urban China , 2018, BMJ Global Health.

[22]  Sara Fernandes-Taylor,et al.  A scoping review of patient-sharing network studies using administrative data. , 2018, Translational behavioral medicine.

[23]  Q. Fu,et al.  Does A Medical Consortium Influence Health Outcomes of Hospitalized Cancer Patients? An Integrated Care Model in Shanxi, China , 2018, International journal of integrated care.

[24]  A. Briggs,et al.  Elements of integrated care approaches for older people: a review of reviews , 2018, BMJ Open.

[25]  Xun Tang,et al.  Using big data to improve cardiovascular care and outcomes in China: a protocol for the CHinese Electronic health Records Research in Yinzhou (CHERRY) Study , 2018, BMJ Open.

[26]  Wei Wang,et al.  Integrated care reform in urban China: a qualitative study on design, supporting environment and implementation , 2017, International Journal for Equity in Health.

[27]  Yaogang Wang,et al.  Hierarchical Medical System Based on Big Data and Mobile Internet: A New Strategic Choice in Health Care , 2017, JMIR medical informatics.

[28]  Dan Wu,et al.  Health reforms in china: the public’s choices for first-contact care in urban areas , 2017, Family practice.

[29]  Uma Srinivasan,et al.  A framework for administrative claim data to explore healthcare coordination and collaboration. , 2016, Australian health review : a publication of the Australian Hospital Association.

[30]  A. Gasparrini,et al.  Interrupted time series regression for the evaluation of public health interventions: a tutorial , 2016, International journal of epidemiology.

[31]  James Moody,et al.  Physician Networks and Ambulatory Care-sensitive Admissions , 2015, Medical care.

[32]  L Letrilliart,et al.  Interprofessional collaboration in primary health care: a review of facilitators and barriers perceived by involved actors. , 2014, Journal of public health.

[33]  W. Hsiao,et al.  Harnessing the privatisation of China's fragmented health-care delivery , 2014, The Lancet.

[34]  Alan D. Lopez,et al.  Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010 , 2013, The Lancet.

[35]  S. Uddin,et al.  Effect of physician collaboration network on hospitalization cost and readmission rate. , 2012, European journal of public health.

[36]  L. Ruilope Current challenges in the clinical management of hypertension , 2012, Nature Reviews Cardiology.

[37]  Jukka-Pekka Onnela,et al.  Physician Patient-sharing Networks and the Cost and Intensity of Care in US Hospitals , 2012, Medical care.

[38]  A James O'Malley,et al.  Mapping physician networks with self-reported and administrative data. , 2011, Health services research.

[39]  Mohammed Shahadat Uddin,et al.  Social Networks Enabled Coordination Model for Cost Management of Patient Hospital Admissions , 2011, Journal for healthcare quality : official publication of the National Association for Healthcare Quality.

[40]  Stephen Gibbons,et al.  Does Hospital Competition Save Lives? Evidence from the English NHS Patient Choice Reforms , 2011, Economic journal.

[41]  Caroline A Baan,et al.  Integrating care through bundled payments--lessons from The Netherlands. , 2011, The New England journal of medicine.

[42]  Stephen M Shortell,et al.  Primary care and accountable care--two essential elements of delivery-system reform. , 2009, The New England journal of medicine.

[43]  K. Leichsenring,et al.  Developing integrated health and social care services for older persons in Europe , 2004, International journal of integrated care.

[44]  Thomas Bodenheimer,et al.  Improving primary care for patients with chronic illness. , 2002, JAMA.

[45]  A K Wagner,et al.  Segmented regression analysis of interrupted time series studies in medication use research , 2002, Journal of clinical pharmacy and therapeutics.

[46]  W. Newey,et al.  A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelationconsistent Covariance Matrix , 1986 .

[47]  Alex Bavelas,et al.  Communication Patterns in Task‐Oriented Groups , 1950 .

[48]  Jukka-Pekka Onnela,et al.  Patient-Sharing Networks of Physicians and Health Care Utilization and Spending Among Medicare Beneficiaries , 2018, JAMA internal medicine.

[49]  E. van Ginneken,et al.  United States of America: health system review. , 2013, Health systems in transition.

[50]  S. Borgatti,et al.  The centrality of groups and classes , 1999 .

[51]  L. Freeman Centrality in social networks conceptual clarification , 1978 .