Evidence map›Paper›PMID 30765399›Full record

ArticleBMJ open2019

Assessing the quality of primary healthcare in seven Chinese provinces with unannounced standardised patients: protocol of a cross-sectional survey.

Dong Roman Xu, Mengyao Hu, Wenjun He, Jing Liao, Yiyuan Cai, Sean Sylvia, Kara Hanson, Yaolong Chen, Jay Pan, Zhongliang Zhou and 10 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
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  5. Article
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  7. Quality of asynchronous webchatsThe Lancet regional health. Western Pacific · 2024
    Article
  8. Article
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  12. Article
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  14. Article
  15. Article
  16. Article
  17. The Quality of Tuberculosis Care in Urban Migrant Clinics in China.International journal of environmental research and public health · 2018
    Article
  18. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Dong Roman XuSun Yat-sen Global Health Institute (SGHI), School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-7438-632X
Mengyao HuSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
Wenjun HeDepartment of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Jing LiaoSun Yat-sen Global Health Institute (SGHI), School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, China.
Yiyuan CaiSun Yat-sen Global Health Institute (SGHI), School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, China.
Sean SylviaDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Kara HansonDepartment of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Yaolong ChenEvidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Jay PanWest China School of Public Health, Sichuan University, Chengdu, Sichuan, China.
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Nan ZhangDepartment of Health Management, School of Health Management, Inner Mongolia Medical University, Hohhot, China.
Chengxiang TangSchool of Public Administration, Guangzhou University, Guangzhou, China.
Xiaohui WangDepartment of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Scott RozelleFreeman Spogli Institute for International Studies, Stanford University, Stanford, California, USA.
Hua HeDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, USA.
Hong WangHealth Economics, Financing and Systems, Bill & Melinda Gates Foundation, Seattle, USA.
Gary ChanDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.
Edmundo Roberto MelipillánSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
Wei ZhouHospital Administration Institute, Xiangya Hospital, Central South University, Changsha, China.
Wenjie GongXiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7943-4041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrimary healthcare (PHC) serves as the cornerstone for the attainment of universal health coverage (UHC). Efforts to promote UHC should focus on the expansion of access and on healthcare quality. However, robust quality evidence has remained scarce in China. Common quality assessment methods such as chart abstraction, patient rating and clinical vignette use indirect information that may not represent real practice. This study will send standardised patients (SP or healthy person trained to consistently simulate the medical history, physical symptoms and emotional characteristics of a real patient) unannounced to PHC providers to collect quality information and represent real practice. METHODS AND ANALYSIS: 1981 SP-clinician visits will be made to a random sample of PHC providers across seven provinces in China. SP cases will be developed for 10 tracer conditions in PHC. Each case will include a standard script for the SP to use and a quality checklist that the SP will complete after the clinical visit to indicate diagnostic and treatment activities performed by the clinician. Patient-centredness will be assessed according to the Patient Perception of Patient-Centeredness Rating Scale by the SP. SP cases and the checklist will be developed through a standard protocol and assessed for content, face and criterion validity, and test-retest and inter-rater reliability before its full use. Various descriptive analyses will be performed for the survey results, such as a tabulation of quality scores across geographies and provider types. ETHICS AND DISSEMINATION: This study has been reviewed and approved by the Institutional Review Board of the School of Public Health of Sun Yat-sen University (#SYSU 2017-011). Results will be actively disseminated through print and social media, and SP tools will be made available for other researchers.

Indexed as

Universal Health CareChinaCross-Sectional StudiesHumansPrimary Health CareQuality of Health CareSurveys and Questionnairespatient-centered carequality of primary health carestandardized patientsunannounced standardized patients

Identifiers

PMID30765399
PMCPMC6398795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.