Evidence map›Paper›PMID 41629796›Full record

ArticleBMC primary care2026

Construction of an index system for workplace services by family doctors in China: a two-round Delphi study.

Jing Guo, Jiaojiao Yu, Junqiao Guo, Jiewen Xiao, Xiangyang Yan, Hong Liang, Ying Qian, Jiaoling Huang

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Article in BMC primary care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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5 · Who and what money

Authors and funding

8 authors.

Jing Guo *School of Social Development and Public Policy, Fudan University, Shanghai, 200433, China.
Jiaojiao Yu *School of Customs and Public Administration, Shanghai Customs College, Shanghai, 201204, China.
Junqiao GuoBusiness School, University of Shanghai for Science and Technology, Shanghai, 200092, China.
Jiewen XiaoShanghai Baoshan District Wusong Central Hospital, Shanghai, 200431, China.
Xiangyang YanSchool of Marxism, University of Shanghai for Science and Technology, Shanghai, 200092, China.
Hong LiangSchool of Social Development and Public Policy, Fudan University, Shanghai, 200433, China.
Ying QianBusiness School, University of Shanghai for Science and Technology, Shanghai, 200092, China. qianying@usst.edu.cn.
Jiaoling HuangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China. jiaoling_huang@sina.com.

Funding

National Natural Science Foundation of China 72274122the think tank construction project of Shanghai Association for Science and Technology AX-2223Three-Year Action Plan of Shanghai Municipality Strengthens Public Health System Construction - Young Talent Program GWVI-11.2-YQ54
6 · The paper itself

Abstract

backgroundPrimary health care for young and middle-aged individuals is often overlooked, with insufficient placed on workplace services provided by family doctors. This study aims to establish expert consensus on a comprehensive set of scientific and systematic indicators for workplace services provided by family doctors.

methodsBased on prior literature and the established Structure-Process-Outcome (SPO) model, we designed two rounds of expert consultation using the Delphi method. A panel of 35 experts from diverse fields-including academia, medical institutions, and relevant health authorities-was composed, collectively possessing substantial expertise in healthcare delivery. The experts indicated their levels of agreement regarding the importance of different indicators for assessing workplace services provided by family doctors. Consensus was defined as achieving a threshold of 70% agreement.

resultsAfter two Delphi rounds, 42 out of 46 indicators reached high consensus, with authority coefficients > 0.7 and coefficients of variation < 0.25. Consensus on high importance (scores 7-9) ranged between 71.43% and 97.14% across four dimensions: organizational structure and management (5 indicators, 88.57%-94.29% consensus); content and form of services (17 indicators, 77.14%-94.29% consensus); synergy, incentive, and feedback mechanisms (10 indicators, 85.71%-97.14% consensus); and effectiveness of services (10 indicators, 71.43%-85.71% consensus).

conclusionsThis study establishes four dimensions and 42 potential indicators that serve as a foundational framework for assessing and improving workplace services offered by family doctors, and provide essential guidance for health management among individuals in the workplace. The high consensus achieved among experts concerning specific indicators associated with such workplace services prompts their practical implementation to provide an objective basis for evidence-based health management within workplace populations.

Indexed as

Physicians, FamilyPrimary Health CareQuality Indicators, Health CareWorkplaceChinaConsensusDelphi TechniqueHumansDelphiFamily doctorIndex systemWorkplace services

Identifiers

PMID41629796
PMCPMC12958710

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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.