| Literature DB >> 36232001 |
Abstract
Providing access to a range of basic health services, community-based primary health care (CB-PHC) plays a vital role in achieving the goal of health for all. Driven by a strong political commitment, China's CB-PHC progress in the past decade has been swift and impressive. However, a well-functioning delivery system for care has yet to be established. This systematic mapping review synthesizes selected evidence on barriers to CB-PHC delivery in urban China and draws lessons for policy development. We performed searches on five electronic databases: CINAHL, MEDLINE, Scopus, Web of Science, and China National Knowledge Infrastructure, and included studies published between 2012 and 2021. The Downs and Black and Critical Appraisal Skills Program checklists were used to assess the quality of eligible papers. We conducted our searches and syntheses following the framework set out in the Primary Health Care Performance Initiative (PHCPI). We synthesized the results of the included studies using a thematic narrative approach and reported according to PRISMA guidelines. Six salient barriers arose from our syntheses of 67 papers: lack of comprehensive health insurance schemes, lack of public awareness, superficial care relationships, gaps in communication, staff shortages and poor training, and second-rate equipment. These barriers are grouped into three subdomains following the PHCPI framework: access, people-centered care, and organization and management. A host of negative impacts of these barriers on community-based health care were also identified. It was not possible to determine clear causes of these barriers from the contributing evidence because of the lack of conceptual frameworks and research methods constraints. Non-eastern regions of China and access-related barriers require further exploration. It follows that, at the national level, the problems are likely more severe than the research suggests.Entities:
Keywords: care delivery; community health; primary health care; systematic mapping review; urban China
Mesh:
Year: 2022 PMID: 36232001 PMCID: PMC9566097 DOI: 10.3390/ijerph191912701
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Primary health care providers in China. * China runs a three-tier healthcare system, and hospitals are at the top (i.e., tier 3).
Services provided by CB-PHC and non-CB-PHC sectors in urban China.
| Key PHC Service Domains | CB-PHC Organizations | Non-CB-PHC Organizations | ||
|---|---|---|---|---|
| Community Health Service Centers and Stations | Sub-District Health Service Centers | Clinics | Outpatient Departments | |
| Prevention |
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| Treatment |
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| Rehabilitation |
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| Palliative care |
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| Health education |
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Abbreviation: CB-PHC—community-based primary health care. √—available; X—not available.
Figure 2Framework of searches and syntheses, compiled by the authors from the literature [24]. * “Structural accessibility presence” is a dimension used to examine accessibility issues, with a primary focus on the availability of structural elements such as facilities and human resources (e.g., Is there a facility with a provider available for care when it is needed by the community?) [24]. Abbreviation: PHC—primary health care.
Figure 3PRISMA flow chart of the study selection process.
Grouping and characteristics of the included studies.
| Study | Methods | Sample | Sample Size | Research Sites |
|---|---|---|---|---|
| Theme one: Access | ||||
| Yin et al. (2019) | Cross-sectional | Patients (diabetes) | 1691 | Multi-provinces |
| Sun et al. (2019) | Cross-sectional | Residents (aged ≥18) | 915 | Sichuan |
| Li … & Mao. (2019) | Cross-sectional | Migrants (hypertension, aged >18) | 1046 | Shenzhen |
| Li … & Hu. (2019) | Cross-sectional | Patients (hypertension, aged ≥18) | 867 | Shenzhen |
| Zhong et al. (2018) | Cross-sectional | Patients (aged ≥18) | 1461 | Guangdong |
| Liu, D. et al. (2017) | Cross-sectional | Residents (aged ≥18) | 2247 | Chengdu |
| Li, W. et al. (2017) | Cross-sectional | Patients (aged ≥18) | 6887 | Shenzhen |
| Gan et al. (2016) | Cross-sectional | Patients (aged 18-90) | 7761 | Shenzhen |
| Chung et al. (2016) | Cross-sectional | Patients (aged ≥18) | 3360 | Guangdong * |
| Zeng et al. (2015) | Cross-sectional | Migrants (aged ≥18) | 736 | Guangzhou |
| Shi et al. (2015) | Cross-sectional | Patients (hypertension, diabetes, aged ≥50) | 560 | Guangdong |
| Chung et al. (2013) | Cross-sectional | Patients (aged ≥18) | 3356 | Guangdong * |
| Theme two: People-centered care | ||||
| Zhang, W. et al. (2020) | Cross-sectional | Residents (aged ≥60) | 2754 | Nationwide |
| Zhang, T. et al. (2020) | Cross-sectional | Patients (aged ≥18) | 624 | Hangzhou |
| Zhang, L. et al. (2020) | Cross-sectional | Patients (aged ≥18) | 515 | Changchun |
| Yue et al. (2020) | Interview | Patients (chronic disease) & nurses | 26 | Beijing |
| Gu et al. (2020) | Cross-sectional | Residents (aged ≥60) | 480 | Nanjing |
| Pu et al. (2019) | Cross-sectional | Patients (PTB, aged ≥15) | 638 | Guizhou |
| Huang et al. (2019) | Cross-sectional | Residents (aged ≥15) | 2919 | Shanghai |
| Su et al. (2017) | Cross-sectional | Residents (hypertension) | 1,092,031 | Nationwide |
| Qian et al. (2017) | Interview | Medical staff & patients | 50 | Hangzhou |
| Liu, C. et al. (2017) | Cross-sectional | Patients (aged ≥18) | 700 | Beijing |
| Li, H. et al. (2017) | Longitudinal | Patients (hypertension, aged ≥60) | 880 | Shanghai |
| Li, H. et al. (2016) | Cross-sectional | Patients (hypertension, aged 18-80) | 782 | Wuhan, Nanjing |
| Gu et al. (2016) | Cohort | Patients (heart disease, aged ≥55) | 329 | Beijing |
| Zhong et al. (2015) | Cross-sectional | Community inhabitants | 9067 | Anhui |
| Li … Yang et al. (2015) | Cross-sectional | Patients (hypertension, aged ≥18) | 696 | Shanghai, Shenzhen |
| Li … Lao et al. (2015) | Cohort | Patients (hypertension, aged ≥18) | 3196 | Shanghai, Shenzhen |
| Kuang et al. (2015) | Cross-sectional | Patients (aged ≥18) | 1645 | Guangdong |
| Du et al. (2015) | Cross-sectional | Patients | 864 | Guangdong |
| Yang et al. (2014) | Cross-sectional | Residents (NCD, aged ≥18) | 51,501 | Guangdong |
| Wang et al. (2014) | Cross-sectional | Residents | 162,464 | Guangdong |
| McCollum et al. (2014) | Cross-sectional & interview | Patients (aged ≥18) & health directors | 231 + 8 | Fuzhou |
| Chen et al. (2014) | Cross-sectional | Patients (hypertension, aged ≥35) | 3191 | Chengdu |
| Wang et al. (2013) | Cross-sectional | Patients (aged ≥18) | 1440 | Guangdong * |
| Shao et al. (2013) | Cross-sectional | Residents (aged ≥15) | 6592 | Beijing |
| Theme three: Organization and management | ||||
| Liu et al. (2021) | Longitudinal | Doctors | 8968 | Shanghai |
| Huang et al. (2021) | Longitudinal | Residents (aged ≥18) | 4749 | Shanghai |
| Zhang et al. (2020) | Cross-sectional & interview | Residents & health workers | 989 + 32 | Guizhou, Chongqing |
| Yao et al. (2020) | Cross-sectional | Patients (diabetes) & care providers | 2610 | Shandong |
| Xia et al. (2020) | Cross-sectional | Physicians & nurses | 2719 | Nationwide |
| Duan et al. (2020) | Cross-sectional | Patients (diabetes, aged ≥18) | 1972 | Yueqing |
| Zhu et al. (2019) | Cross-sectional | Patients (diabetes, common illness, aged ≥18) | 816 | Hangzhou |
| Zhao et al. (2019) | Interview | General practitioners | 32 | Beijing |
| Zhan et al. (2019) | Cross-sectional | Outpatient prescribers | 150 | Sichuan |
| Wang et al. (2019) | Cross-sectional | Patients (diabetes, aged ≥18) | 1598 | Shandong, Jiangsu |
| Searle et al. (2019) | Interview | Medical leaders | 17 | Shenzhen |
| Liang et al. (2019) | Cross-sectional & interview | Health workers & leaders | 198 + 70 | Guizhou, Chongqing |
| Huang et al. (2019) | Longitudinal | Patients (NCD, aged ≥18) | 4749 | Shanghai |
| Chen et al. (2019) | Cross-sectional | General practitioners & nurses | 172 | Shanghai |
| Zhu et al. (2018) | Interview | Managers & physicians | 15 | Wuhan |
| Mao et al. (2018) | Interview | Childcare providers | 22 | Hunan |
| Li, W. et al. (2018) | Cross-sectional | Patients (aged ≥18) | 1159 | Wuhan |
| Li, L. et al. (2018) | Cross-sectional | Patients (aged 18-89) | 698 | Guangzhou |
| Zhang et al. (2017) | Cross-sectional | Primary care workers | 791 | Multi-provinces |
| Wu et al. (2017) | Cross-sectional & interview | Residents | 1248 + 19 | Hangzhou |
| Wong et al. (2017) | Cross-sectional | Clinicians & primary care practitioners | 3738 | Nationwide |
| Wei et al. (2017) | Cross-sectional | Primary care users | 2924 | Multi-cities |
| Ong et al. (2017) | Cross-sectional | Primary care practitioners | 3580 | Nationwide |
| Wu et al. (2016) | Cross-sectional | Patients (aged ≥18) | 3848 | Shenzhen |
| Li, J. et al. (2016) | Cross-sectional | Patients (aged ≥15) | 1918 | Jilin |
| Chapman et al. (2016) | Interview | Doctors | 23 | Shenzhen |
| Wei et al. (2015) | Interview | Managerial & professional staff | 60 | Guangdong * |
| Jing et al. (2015) | Longitudinal | Residents (aged ≥18) | 1200 | Shanghai |
| Wang et al. (2014) | Interview | Primary family caregivers | 23 | Not specific |
| Li et al. (2014) | Cross-sectional | Patients (aged ≥18) | 787 | Shenzhen |
| Wong et al. (2012) | Cross-sectional | Patients (hypertension) | 1830 | Guangdong * |
* Research sites in the literature were the Pearl River Delta Region, geographically comprising the nine cities within Guangdong Province. Abbreviations: PTB—pulmonary tuberculosis; NCD—noncommunicable disease.
Figure 4The number of studies focusing on each theme and respective sub-themes.
Barriers to CB-PHC delivery and their impacts on community-based health care in urban China identified by this review.
| Barriers to CB-PHC Delivery | Impacts of the Barrier on Community-Based Health Care |
|---|---|
| PHCPI subdomain: Access | |
| Lack of comprehensive health insurance schemes |
Lowering the likelihood of being routinely treated in CB-PHC facilities among the uninsured |
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Leading to unsupervised and unsafe medication use by the uninsured | |
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Making CB-PHC benefits inaccessible to migrants without local health insurance | |
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Resulting in delayed access to CB-PHC facilities among migrants covered by non-local health insurance | |
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Leading to substandard procedures, outcomes, and perceived quality of CB-PHC among migrants | |
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Decreasing the willingness of migrants to join local health insurance schemes | |
| Lack of public awareness |
Resulting in poor awareness of CB-PHC and little willingness by residents to use the services |
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Decreasing the trust and satisfaction in CB-PHC of residents with low SES | |
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Contributing to the overuse of high-tier hospitals and waste of health resources in CB-PHC settings | |
| PHCPI subdomain: People-centered care | |
| Superficial care relationships |
Lowering users’ trust in providers |
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Generating inefficient communication between users and providers | |
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Lowering the ability of users to perceive the benefit of modern medicines | |
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Impeding information exchange during the treatment process | |
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Lowering the transparency of treatment | |
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Decreasing users’ assessment of service quality | |
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Diminishing the sense of reciprocity and rapport between users and providers | |
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Diminishing the trust of providers in users’ cooperation and self-administration | |
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Making the responses to users’ concerns inadequate and ineffective | |
| Gaps in communication |
Resulting in delayed feedback on the effects of medication |
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Making recovery and continued treatment inefficient | |
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Making regular follow-up examinations unlikely and, if provided, inefficient | |
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Compromising the referral system | |
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Contributing to medical errors and complications | |
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Discouraging care coordination and integration | |
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Escalating episodic medical costs and rates of hospitalization | |
| PHCPI subdomain: Organization and management | |
| Staff shortages and poor training |
Lowering the utilization rate of CB-PHC |
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Increasing the workloads of active health workers | |
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Contributing to care provider burnout | |
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Leading to disparities in the service quality of health workers | |
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Reducing the likelihood that residents would choose to receive CB-PHC | |
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Resulting in brain drain in CB-PHC settings | |
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Compromising the professional development of health workers | |
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Lowering the ability of health workers to practice effective care | |
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Impeding the application and expansion of digitalization of medical services | |
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Undermining the modernization of the national healthcare system | |
| Second-rate equipment |
Making it difficult to keep up-to-date medical records |
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Lowering functionality in medical data acquisition, referral arrangements, and information exchange and interoperability | |
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Hampering innovative care practices | |
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Contributing to the inadequacy of the professional education of health workers | |
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Decreasing residents’ desire to join health-promoting activities | |
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Contributing to the growing over-reliance on specialist care in higher-tier hospitals and underuse of general services provided by community health organizations | |