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Bao X, Dai Y, Wu Q, Nie W, Tao H. Primary health care team faultlines and team performance: the mediating role of knowledge sharing. Front Psychol 2024; 15:1362520. [PMID: 38966728 PMCID: PMC11223627 DOI: 10.3389/fpsyg.2024.1362520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 06/07/2024] [Indexed: 07/06/2024] Open
Abstract
Family doctor teams, serving as health gatekeepers, are extensively advocated in China. Their composition, comprising a heterogeneous mix of professionals, contributes to a more comprehensive service, but also poses challenges. Consequently, scholarly interest has arisen in comprehending how these compositions, known as faultlines, influence team dynamics and outcomes. However, there is a lack of comprehensive exploration into how faultlines influence team members' communication processes and knowledge sharing. This study aims to provide insights into the associations between faultlines in primary care teams and team performance, specifically exploring how knowledge sharing may mediate these effects, with the goal of revealing key insights to optimize contracted family doctor services. Survey data from 291 family doctor teams in China was utilized to test hypotheses, revealing a negative association between (social-category and information-based) faultlines and knowledge sharing. Team knowledge sharing acts as a mediator in the relationship between these faultlines and team performance. Our findings advance faultlines theory and emphasize the mediating role of knowledge sharing in elucidating the interplay between faultlines and team performance. These insights are crucial for fostering collaboration, managing faultlines, and enhancing healthcare team performance.
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Affiliation(s)
- Xinyu Bao
- School of Medicine and Health Management of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yao Dai
- Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Qian Wu
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
| | - Wenjin Nie
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hongbing Tao
- School of Medicine and Health Management of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Major Disciplinary Platform under Double First-Class Initiative for Liberal Arts, Research Center for High-Quality Development of Hospitals, Huazhong University of Science and Technology, Wuhan, China
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Li D, Hu Y, Liu S, Lu C, Li J, Zhou J, Zhang Y, Lu S. A Latent Profile Analysis of Chinese Physicians' Workload Tethered to Paperwork During Outpatient Encounters. Front Public Health 2022; 10:854772. [PMID: 35548081 PMCID: PMC9082025 DOI: 10.3389/fpubh.2022.854772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/18/2022] [Indexed: 11/13/2022] Open
Abstract
Background Physician dissatisfaction with more time spent on related paperwork but less time available for direct interaction with patients is increasing internationally. Increased physician workload resulting from paperwork might negatively affect their interaction with patients and increase the risk for burnout. This study aimed to investigate the level of physician workload tethered to paperwork during outpatient encounters and explore its latent workload subgroups among Chinese physicians. Methods A cross-sectional survey was conducted via online questionnaire primarily in 24 hospitals in 6 provinces in Eastern, Central, and Western China from November 2020 to February 2021. The Chinese physician mental workload scale developed by our research team was used for assessment of physician workload tethered to paperwork. Physicians were categorized into different subgroups of workload via latent profile analysis. Multinomial logistic regression was subsequently performed to examine how demographic variables differ among physicians belonging to different subgroups. Results A total of 1,934 valid questionnaires were received. Chinese physicians reported medium levels of workload while performing non-physician-patient communication work tasks characterized by paperwork during outpatient encounters. Four latent workload subgroups were identified: "low workload group" (8.8%), "medium workload group" (34.0%), "high workload group" (42.1%) and "very high workload group" (15.1%). Compared with the other latent workload subgroups, physicians belonging to the "very high workload group" were more likely to be younger, married, those who had worse health status, lower educational levels and lower average monthly incomes, those who worked more years in the current institution, more hours per week and longer outpatient hours per week, and those who worked in public general hospitals, tertiary B hospitals and Obstetrics and Gynecology, and saw more than 50 outpatients per day, with more time spent on per patient. Conclusions There exit four latent workload subgroups among Chinese physicians tethered to paperwork during outpatient encounters along with great individual variations among these subgroups. The characteristics of the latent "very high workload group" can help permit more targeted guidance for developing interventions with optimized human resource allocation to, in turn, increase the time available for direct interaction with patients, thereby resulting in improved quality of physician-patient interactions and decreased risk for physician burnout.
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Affiliation(s)
- Dehe Li
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yinhuan Hu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sha Liu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chuntao Lu
- Jingmen No. 2 People's Hospital, Jingmen, China
| | - Jiayi Li
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinghan Zhou
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yeyan Zhang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shaoyu Lu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Li G, Li M, Peng S, Wang Y, Ran L, Chen X, Zhang L, Zhu S, Chen Q, Wang W, Xu Y, Zhang Y, Tan X. Current status and influential factors for family health management during quarantine: A latent category analysis. PLoS One 2022; 17:e0265406. [PMID: 35446866 PMCID: PMC9022814 DOI: 10.1371/journal.pone.0265406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 03/01/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE We aimed to explore factors affecting family health management during home quarantine as well as the effects of variations in family health management (FHM) on individuals' health status. METHODS Using stratified random sampling, 618 families in Wuhan as well as cities within its surrounding provinces were recruited and surveyed online. Latent class variables were extracted from four modules: disinfection, space layout, physical exercise, and food reserves. The analysis was conducted using the poLCA package in R software (v.4.1.0). Chi-squared tests, Fisher's exact tests, and non-parametric Kruskal-Wallis tests were used to compare groups as appropriate. RESULTS We found an overall questionnaire reliability of 0.77 and a total omega of 0.92, indicating that the survey results were credible. The Bayesian information criterion and Akaike information criterion were used to identified four latent class variables, namely latent non-family health management (18.9%) and latent low, medium, and advanced FHM (30.93%, 29.49%, and 20.59%, respectively). Gender, household income level, body mass index, the presence of a nearby community hospital, and self-rated health status showed statistically significant differences with respect to latent FHM. Moreover, we found a statistically significant difference in emotional reactions when comparing latent advanced and low to mid-level latent FHM. Compared with latent non-family health managers, we detected statistically significant differences in individual energy levels between potential family health managers at latent low and medium levels. Additionally, we found statistically significant differences in individual energy levels between latent advanced and low level family health managers. CONCLUSIONS We found that multiple factors, including gender, household income, and body mass index, were correlated with latent FHM during home quarantine. We conclude that FHM can meaningfully improve individuals' health. Thus, increasing social support for individuals can improve FHM as well as individuals' health during home quarantine.
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Affiliation(s)
- Guangming Li
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Mengying Li
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Shuzhen Peng
- Department of Health Management, The People’s Hospital of Huangpi, Wuhan, Hubei, China
| | - Ying Wang
- Department of Hospital Infection Management, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Li Ran
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Xuyu Chen
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Ling Zhang
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Sirong Zhu
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Qi Chen
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Wenjing Wang
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Yang Xu
- Department of Geography, The College of Geography and Environment, Henan University, Kaifeng, Henan, China
- Department of Geography, National Earth System Science Data Center, National Science & Technology Infrastructure of China, Beijing, China
| | - Yubin Zhang
- Department of Health management, Wuchang Center for Disease Control and Prevention, Wuhan, Hubei, China
| | - Xiaodong Tan
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, Hubei, China
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Huang J, Wang L, Liu S, Zhang T, Liu C, Zhang Y. The Path Analysis of Family Doctor's Gatekeeper Role in Shanghai, China: A Structural Equation Modeling (SEM) Approach. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2021; 58:469580211009667. [PMID: 33870745 PMCID: PMC8058791 DOI: 10.1177/00469580211009667] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Studies globally have provided substantial evidence that PHC could conduct doctor-visiting behaviors, control medical expense, and improve population health. This study aimed to map how family doctor (FD) in Shanghai achieved gate-keeper goals including health management, medical expense control, and conducting ordered doctor-visiting behavior. A total of 2754 and 1995 valid questionnaires were collected in 2013 and 2016 respectively in Shanghai. The data were analyzed using structural equation modeling (SEM). Invariance analysis was also performed for 2 waves of data. We found that the coefficient of cognition on health management (β5 = 0.26, P < .05) was larger than that of signing with FD (β4 = 0.06, P < .05). SEM model also showed that first-contact at community health service center (CHSC) had a positive effect on health management (β6 = 0.30, P < .05), and the latter also affected health management results positively (β8 = 0.39, P < .05), suggesting that the path for FD was through first-contact and health management. Besides, the gate-keeper role of medical expense control was significant through the first-contact (β10 = −0.12, P < .05) mediation rather than health management (β9 = 0.03, P > .05). The model fit was acceptable (RMSEA = 0.033). A “cognition-behavior-outcomes (health and medical expense)” path of FD’s gate-keeper role was found. It is necessary to consolidate FD contracted services rather than reimbursement discount the latter of which is proved to be unsustainable.
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Affiliation(s)
- Jiaoling Huang
- Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Luan Wang
- Shanghai Sixth People's Hospital East Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Shanshan Liu
- Pudong Institute for Health Development, Shanghai, China
| | - Tao Zhang
- Jinyang Community Health Service Center of Pudong New Area, Shanghai, China
| | - Chengjun Liu
- Fudan University, Shanghai, China.,Eye and Dental Diseases Prevention & Treatment of Pudong New Area, Shanghai, China
| | - Yimin Zhang
- Pudong Institute for Health Development, Shanghai, China
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