1
|
Xu X, Huang J, Zhao X, Luo Y, Wang L, Ge Y, Yu X, Zhu P. Trends in the mobility of primary healthcare human resources in underdeveloped regions of western China from 2000 to 2021: Evidence from Nanning. BMC PRIMARY CARE 2024; 25:154. [PMID: 38711072 PMCID: PMC11071274 DOI: 10.1186/s12875-024-02403-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/23/2024] [Indexed: 05/08/2024]
Abstract
OBJECTIVE This research aimed to identify the fundamental and geographic characteristics of the primary healthcare personnel mobility in Nanning from 2000 to 2021 and clarify the determinants that affect their transition to non-primary healthcare institutions. METHODS Through utilizing the Primary Healthcare Personnel Database (PHPD) for 2000-2021, the study conducts descriptive statistical analysis on demographic, economic, and professional aspects of healthcare personnel mobility across healthcare reform phases. Geographic Information Systems (QGIS) were used to map mobility patterns, and R software was employed to calculate spatial autocorrelation (Moran's I). Logistic regression identified factors that influenced the transition to non-primary institutions. RESULTS Primary healthcare personnel mobility is divided into four phases: initial (2000-2008), turning point (2009-2011), rapid development (2012-2020), and decline (2021). The rapid development stage saw increased mobility with no spatial clustering in inflow and outflow. From 2016 to 2020, primary healthcare worker mobility reached its peak, in which the most significant movement occurred between township health centers and other institutions. Aside from their transition to primary medical institutions, the primary movement of grassroots health personnel predominantly directs towards secondary general hospitals, tertiary general hospitals, and secondary specialized hospitals. Since 2012, the number and mobility distance of primary healthcare workers have become noticeably larger and remained at a higher level from 2016 to 2020. The main migration of primary healthcare personnel occurred in their districts (counties). Key transition factors include gender, education, ethnicity, professional category, general practice registration, and administrative division. CONCLUSIONS This study provides evidence of the features of primary healthcare personnel mobility in the less developed western regions of China, in which Nanning was taken as a case study. It uncovers the factors that impact the flow of primary healthcare personnel to non-primary healthcare institutions. These findings are helpful to policy refinement and support the retention of primary healthcare workers.
Collapse
Affiliation(s)
- Xinyi Xu
- School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China
| | - Jingyi Huang
- School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China
| | - Xiaoqian Zhao
- School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China
| | - Yumin Luo
- School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China
| | - Linxuan Wang
- School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China
| | - Yishan Ge
- School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China
| | - Xingyin Yu
- School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China
| | - Pinghua Zhu
- School of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
| |
Collapse
|
2
|
Cai C, Xiong S, Millett C, Xu J, Tian M, Hone T. Health and health system impacts of China's comprehensive primary healthcare reforms: a systematic review. Health Policy Plan 2023; 38:1064-1078. [PMID: 37506039 PMCID: PMC10566320 DOI: 10.1093/heapol/czad058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/17/2023] [Accepted: 07/26/2023] [Indexed: 07/30/2023] Open
Abstract
China's comprehensive primary healthcare (PHC) reforms since 2009 aimed to deliver accessible, efficient, equitable and high-quality healthcare services. However, knowledge on the system-wide effectiveness of these reforms is limited. This systematic review synthesizes evidence on the reforms' health and health system impacts. In 13 August 2022, international databases and three Chinese databases were searched for randomized controlled trials, quasi-experimental studies and controlled before-after studies. Included studies assessed large-scale PHC policies since 2009; had a temporal comparator and a control group and assessed impacts on expenditures, utilization, care quality and health outcomes. Study quality was assessed using Risk of Bias In Non-randomized Studies of Interventions, and results were synthesized narratively. From 49 174 identified records, 42 studies were included-all with quasi-experimental designs, except for one randomized control trial. Nine studies were assessed as at low risk of bias. Only five low- to moderate-quality studies assessed the comprehensive reforms as a whole and found associated increases in health service utilization, whilst the other 37 studies examined single-component policies. The National Essential Medicine Policy (N = 15) and financing reforms (N = 11) were the most studied policies, whilst policies on primary care provision (i.e. family physician policy and the National Essential Public Health Services) were poorly evaluated. The PHC reforms were associated with increased primary care utilization (N = 17) and improved health outcomes in people with non-communicable diseases (N = 8). Evidence on healthcare costs was unclear, and impacts on patients' financial burden and care quality were understudied. Some studies showed disadvantaged regions and groups that accrued greater benefits (N = 8). China's comprehensive PHC reforms have made some progress in achieving their policy objectives including increasing primary care utilization, improving some health outcomes and reducing health inequalities. However, China's health system remains largely hospital-centric and further PHC strengthening is needed to advance universal health coverage.
Collapse
Affiliation(s)
- Chang Cai
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, Reynolds Building, St Dunstan's Road, London W6 8RP, UK
| | - Shangzhi Xiong
- The George Institute for Global Health, Faulty of Medicine and Health, University of New South Wales, Level 5, 1 King Street Newtown, Sydney 2042, Australia
- Global Health Research Centre, Duke Kunshan University, Academic Building 3038, No. 8 Duke Avenue, Kunshan, Jiangsu 215316, China
| | - Christopher Millett
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, Reynolds Building, St Dunstan's Road, London W6 8RP, UK
- Public Health Research Centre and Comprehensive Health Research Centre, NOVA National School of Public Health, NOVA University Lisbon, Avenida Padre Cruz, Lisbon 1600-560, Portugal
| | - Jin Xu
- China Center for Health Development Studies, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Maoyi Tian
- The George Institute for Global Health, Faulty of Medicine and Health, University of New South Wales, Level 5, 1 King Street Newtown, Sydney 2042, Australia
- School of Public Health, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin 150081, China
| | - Thomas Hone
- Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, Reynolds Building, St Dunstan's Road, London W6 8RP, UK
| |
Collapse
|
3
|
Wang Q, Tu X, Fu Y, Zhang J, Wei X, Zhu Z, Wang T, Yang L. Variation in quality of care by medical institute level in China: a systematic review protocol. BMJ Open 2023; 13:e067683. [PMID: 36717137 PMCID: PMC9887710 DOI: 10.1136/bmjopen-2022-067683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
INTRODUCTION Quality variation has been widely witnessed and discussed in China. However, limited evidence reveals quality gaps by the medical institute level, especially between hospitals and primary care institutes. This systematic review will synthesise the available evidence on quality variation between medical institutes at different levels in China. By adopting a quality framework, we will also explore the detailed domains (structure, process and outcomes) and dimensions (safety, effectiveness, timeliness, patient-centredness, efficiency, integration and equity) of quality gaps. METHODS AND ANALYSIS An extensive literature search will be conducted on eight key electronic databases: MEDLINE, Web of Science, Cochrane Library, Scopus, EMBASE, ProQuest, China National Knowledge Infrastructure and WANFANG database. The Grey Matter Checklist will be used to screen relevant grey literature. The publication time limit should be before 31 December 2022 when we plan to conduct a literature search. All kinds of studies that revealed the quality difference between medical institutes at different levels will be included, no matter if quality improvement intervention is involved. All quality measures and indicators will be recorded and sorted into appropriate domains and dimensions. For those studies that took the completion rate of standard operations to assess the quality, we will also record the name of the clinical pathways, guidelines or checklists used. Two reviewers will independently perform the study selection, data extraction and quality assessment process. A narrative or quantitative synthesis will be performed based on the available data. ETHICS AND DISSEMINATION Ethics approval is not applicable. The results of this study will be submitted to a widely accepted peer-review journal. The findings will also be used to inform administration about quality gaps by different medical institute levels and, therefore, help them to design policies that will minimise the quality variation. PROSPERO REGISTRATION NUMBER CRD42022345933.
Collapse
Affiliation(s)
- Quan Wang
- School of Public Health, Peking University Health Science Center, Beijing, China
- Brown School, Washington University in St Louis, St Louis, Missouri, USA
| | - Xi Tu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yaqun Fu
- School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jiawei Zhang
- School of Public Health, Peking University Health Science Center, Beijing, China
| | - Xia Wei
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Zheng Zhu
- School of Public Health, Peking University Health Science Center, Beijing, China
| | - Ting Wang
- School of Public Health, Shandong University, Jinan, Shandong, China
| | - Li Yang
- School of Public Health, Peking University Health Science Center, Beijing, China
| |
Collapse
|
4
|
Zhang J, Lu Q, Shi L. The influence of telemedicine on capacity development in public primary hospitals in China: A scoping review. CLINICAL EHEALTH 2022. [DOI: 10.1016/j.ceh.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
|
5
|
Kane S, Jiang H, Tian Y, Mukhopadhyay M, Qian X. Making effective referrals happen: a theory-informed policy analysis. Health Policy Plan 2021; 35:1309-1317. [PMID: 33141176 DOI: 10.1093/heapol/czaa091] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2020] [Indexed: 11/12/2022] Open
Abstract
Effective referral is a critical element of a well-functioning health system. While having a good referral policy in place is important, equally important is its effective implementation. Using the implementation of a policy on referral of obstetric emergencies in Shanghai as a case, we illustrate the application of the 'Inhabited Institutions' analytical approach for studying policy implementation. In doing so, our study highlights how 'referral' is a quintessential systems process embedded in institutional, social and historical contexts. We show that multiple institutional logics, in the form of explicit and tacit organizing principles and assumptions, intersect to influence and shape actors' actions, sometimes with good outcomes and sometimes with poor outcomes. We reveal the embedded agency of frontline healthcare managers and providers across different levels of care. We show how frontline managers and providers, operating under conditions of uncertainties and ambiguities in organizational processes, actively draw upon their experience and network capital to creatively adapt to get referrals done in a timely manner to save lives of critically ill pregnant women. From our findings, two sets of linked implications emerge for strengthening referral systems. Given that referral often involves ill and complicated cases, getting referrals right depends on the exercise of discretion and judgement by those at the frontline to arrive at timely and workable solutions-health systems need to recognize this. We also conclude that to get referrals right, while one needs clearly defined policies and implementation processes that are locally appropriate, well understood by all concerned and easy to follow, this is not enough. In addition, explicit measures that enable the exercise of discretion and judgement at the frontline need to be locally identified and adopted.
Collapse
Affiliation(s)
- Sumit Kane
- Nossal Institute For Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Level 5, 333 Exhibition Street, Parkville, VIC 3010, Australia.,KIT Royal Tropical Institute, Mauritskade 64, 1092 AD Amsterdam, The Netherlands
| | - Hong Jiang
- School of Public Health, Global Health Institute, Fudan University, Mailbox 175, 138 Yixueyuan Road, Shanghai 200032, China
| | - Yuan Tian
- Department of Child Health Management, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | | | - Xu Qian
- School of Public Health, Global Health Institute, Fudan University, Mailbox 175, 138 Yixueyuan Road, Shanghai 200032, China
| |
Collapse
|
6
|
Effect of healthcare system reforms on public hospitals' revenue structures: Evidence from Beijing, China. Soc Sci Med 2021; 283:114210. [PMID: 34274783 DOI: 10.1016/j.socscimed.2021.114210] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 06/07/2021] [Accepted: 07/02/2021] [Indexed: 11/21/2022]
Abstract
To reduce the heavy reliance of public hospitals on drug sales and use of advanced technologies and to contain the escalating medical expenditures, Beijing implemented two rounds of comprehensive public hospital reform in 2017 and 2019, respectively. The first round focused on separating drug sales from hospital revenue (reform1), and the second round extended to include zero markup on medical consumables and price adjustments for medical services (reform2). To estimate how these two rounds of reform have affected public hospitals' revenue structures, we used observational data of medical revenues from 2016 to 2019 covering 354 healthcare facilities. A Panel-interrupted time-series (PITS) model was used to analyze the effects. The results suggest that the reforms have changed the structure of public hospitals' revenues. The proportion of drug sales in hospital revenues fell from 43.96% in 2016 (pre-reform) to 34.08% in 2019 (post-reform); the proportions of medical consumables decreased by 0.73% after reform 2; and the proportion of medical consultation service fees increased from 15.16% in 2016 to 24.51% in 2019. PITS analysis showed that the proportion of drug sales dropped by 5.46% in the month of reform 1, and it dropped by 0.20% per month on average after reform 2(p < 0.001). The proportion of medical consumables decreased by 0.04% per month on average after reform 2 (p < 0.001). The proportion of medical consultation service increased by 7.13% in the month of reform 1, and it increased by 0.14% per month on average after reform 2(p < 0.001). Similar trends were seen in hospital revenue structures from both inpatient services and from outpatient and accident and emergency services. Thus, Beijing's reforms successfully contained rising medical expenditures and optimized hospitals' revenue structures. These reforms can provide a reference for further public hospital reforms in China and other countries with similar systems.
Collapse
|
7
|
Zhou S, Xu J, Ma X, Yuan B, Liu X, Fang H, Meng Q. How Can One Strengthen a Tiered Healthcare System through Health System Reform? Lessons Learnt from Beijing, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E8040. [PMID: 33142790 PMCID: PMC7663312 DOI: 10.3390/ijerph17218040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 10/25/2020] [Accepted: 10/27/2020] [Indexed: 11/18/2022]
Abstract
How one can reshape the current healthcare sector into a tiered healthcare system with clarified division of functions between primary care facilities and hospitals, and improve the utilization of primary care, is a worldwide problem, especially for the low and middle-income countries (LMICs). This paper aimed to evaluate the impact of the Beijing Reform on healthcare-seeking behavior and tried to explain the mechanism of the change of patient flow. In this before and after study, we evaluated the changes of outpatient visits and inpatient visits among different levels of health facilities. Using the monitored and statistical data of 373 healthcare institutions 1-year before and 1-year after the Beijing Reform, interrupted time series analysis was applied to evaluate the impact of the reform on healthcare-seeking behavior. Semi-structured interviews were used to further explore the mechanisms of the changes. One year after the reform, the flow of outpatients changed from tertiary hospitals to community health centers with an 11.90% decrease of outpatients in tertiary hospitals compared to a 15.01% increase in primary healthcare facilities. The number of ambulatory care visits in primary healthcare (PHC) showed a significant upward trend (P < 0.10), and the reform had a significant impact on the average number of ambulatory care visits per institution in Beijing's tertiary hospitals (p < 0.10). We concluded that the Beijing Reform has attracted a substantial number of ambulatory care visits from hospitals to primary healthcare facilities in the short-term. Comprehensive reform policies were necessary to align incentives among relative stakeholders, which was a critical lesson for other provinces in China and other LMICs.
Collapse
Affiliation(s)
- Shuduo Zhou
- School of Public Health, Peking University, Beijing 100191, China;
| | - Jin Xu
- China Center for Health Development Studies, Peking University, Beijing 100191, China; (J.X.); (X.M.); (B.Y.); (X.L.); (H.F.)
| | - Xiaochen Ma
- China Center for Health Development Studies, Peking University, Beijing 100191, China; (J.X.); (X.M.); (B.Y.); (X.L.); (H.F.)
| | - Beibei Yuan
- China Center for Health Development Studies, Peking University, Beijing 100191, China; (J.X.); (X.M.); (B.Y.); (X.L.); (H.F.)
| | - Xiaoyun Liu
- China Center for Health Development Studies, Peking University, Beijing 100191, China; (J.X.); (X.M.); (B.Y.); (X.L.); (H.F.)
| | - Hai Fang
- China Center for Health Development Studies, Peking University, Beijing 100191, China; (J.X.); (X.M.); (B.Y.); (X.L.); (H.F.)
| | - Qingyue Meng
- School of Public Health, Peking University, Beijing 100191, China;
- China Center for Health Development Studies, Peking University, Beijing 100191, China; (J.X.); (X.M.); (B.Y.); (X.L.); (H.F.)
| |
Collapse
|