Research Progress of Doctor-patient Risk Perception

Jiang, Xueli; Zhang, Liping; Ping, Wang; Du, Yu; Sun, Jiangjie

doi:10.12691/ajap-8-1-1

Cited by 3 publications

(4 citation statements)

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“…It has been found that the level of perceived risk is effective in assessing the occurrence of doctor-patient risk and is key to the developmental dynamics of doctor-patient risk events. [58] Therefore, it is necessary to strengthen the exploration of related studies and how to reduce the perceived risk and improve the DPR. In the 4th group, keywords related to the characteristics of the population at risk for the DPR were included, including "diabetes mellitus" and "very elderly."…”

Section: Discussionmentioning

confidence: 99%

“…It has been found that the level of perceived risk is effective in assessing the occurrence of doctor–patient risk and is key to the developmental dynamics of doctor–patient risk events. [58] Therefore, it is necessary to strengthen the exploration of related studies and how to reduce the perceived risk and improve the DPR. In the 4th group, keywords related to the characteristics of the population at risk for the DPR were included, including “diabetes mellitus” and “very elderly.” However, in addition to chronic disease patients and age factors, people with special status, mental disorders, maternity with social problems, depression, and unemployment/drug use seem to be underrepresented in the analysis.…”

Section: Discussionmentioning

confidence: 99%

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Bibliometric and visualization analysis of risk management in the doctor–patient relationship: A systematic quantitative literature review

Li,

Zhang,

et al. 2024

Medicine

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Objectives: This paper analyzed the research on risk management in the doctor–patient relationship (DPR) based on a systematic quantitative literature review approach using bibliometric software. It aims to uncover potential information about current research and predict future research hotspots and trends. Methods: We conducted a comprehensive search for relevant publications in the Scopus database and the Web of Science Core Collection database from January 1, 2000 to December 31, 2023. We analyzed the data using CiteSpace 6.2.R2 and VOSviewer 1.6.19 software to examine the annual number of publications, countries/regions, journals, citations, authors, and keywords in the field. Results: A total of 553 articles and reviews that met the criteria were included in this study. There is an overall upward trend in the number of publications issued; in terms of countries/regions, the United States and the United Kingdom are the largest contributors; Patient Education and Counseling is the most productive journal (17); Physician communication and patient adherence to treatment: a meta-analysis is the most cited article (1637); the field has not yet to form a stable and obvious core team; the analysis of high-frequency keywords revealed four main research directions: the causes of DPR risks, coping strategies, measurement tools, and research related to people prone to doctor–patient risk characteristics; the causes of DPR risks, coping strategies, measurement tools, and research related to people prone to doctor–patient risk characteristics; the keyword burst analysis revealed several shifts in the research hotspots for risk management in the DPR, suggesting that chronic disease management, is a future research direction for the continued development of risk management in the DPR. Conclusions: The visualization analysis of risk management literature in the DPR using CiteSpace and VOSviewer software provides insights into the current research status and highlights future research directions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Bibliometric and visualization analysis of risk management in the doctor–patient relationship: A systematic quantitative literature review

Li,

Zhang,

et al. 2024

Medicine

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“…The characteristics of other demographic variables and control variables are shown in Table 1. The relationship between physical sub-health and risk perception Risk perception re ects people's cognition and intuitive judgment of risk [7], which belongs to the eld of psychology [8]. The term "risk perception" was rst introduced by Professor Bauer at Harvard University in 1960 and applied to consumer behavior research [9].…”

Section: Sample and Data Collectionmentioning

confidence: 99%

An Empirical Study on Physical Sub-Health Risk Perception: Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China

Jiang¹,

Zhang²,

Gao³

et al. 2021

Preprint

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Background: Physical sub-health is directly related to people's work effectiveness and quality of life. Sub-health prevention has become an urgent medical problem. Current research on sub-health mainly focuses on the diagnosis, influencing factors and treatment. Based on the proposed physical sub-health risk perception scale, we explore the differences in the demographic factors and the mechanism of risk perception level on physical sub-health to provide data support for the management of public physical sub-health.Methods: Clinical and risk perception data were collected from 770 physical examinees, which were analyzed using SPSS 23.0, R, and Python software. Pearson correlation coefficient was used to investigate the correlation and multiple stepwise regression analysis was used to explore the influence of demographic variables on physical sub-health and risk perception. Also, this study used a two-way interaction moderated multiple regression approach to examine the moderating effects of demographic variables on physical sub-health and risk perception.Results: Attribute of living place, sub-health duration, marital status, average annual household income, risk perception level were negatively associated with physical sub-health (r= -0.07 ~ -0.17, P < 0.05). The risk perception level was positively correlated with education, attribute of living place,average annual household income, sub-health duration, number of employees in the unit and sub-health proportion in the unit (r= 0.09 ~0.26, P＜0.05), but negatively correlated with age (r= -0.11, P＜0.05). The number of children had a moderating effect on physical sub-health and risk perception (Interaction coefficient α= -0.3, P＜0.05).Conclusions: The factors directly affecting the physical sub-health included age, education, attribute of living place,sub-health duration and sub-health proportion in the unit, while the risk perception level, marital status and average annual household income were found to be indirect influencing factors. The number of children had a moderating effect on physical sub-health and risk perception. Therefore, we suggest attaching importance to public physical exercise and health checkups, correctly guiding public risk perception, and spreading the national policy of bearing and rearing better children etc. to promote the development of public physical health in China.

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“…Risk perception, which reflects people's cognition and intuitive judgment of risk [ 4 ], is studied in the field of psychology [ 5 ]. Risk perception is one of the core elements of health behavior theories; those theories point out that people exposed to risk are motivated to stop unhealthy behaviors and adopt healthy behaviors to avoid negative consequences [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China

Jiang

Zhang

Gao

et al. 2023

Journal of Environmental and Public Health

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Background. Physical subhealth directly correlates to people’s work effectiveness and quality of life, so subhealth prevention has become an urgent medical problem. Methods. A random sampling method was used to conduct a questionnaire survey of physical examinees from June to September, 2019. In total, 770 people participated in our study. The Pearson correlation and multiple stepwise regression analysis were used to explore the relationship among demographic variables, physical subhealth, and risk perception. Also, this study used a two-way interaction moderated multiple regression approach to examine the moderating effects of demographic variables on physical subhealth and risk perception. Results. The risk perception level was negatively associated with physical health. Age, education level, and subhealth proportion in the work unit all significantly and positively influence physical health, whereas living place, subhealth duration, and marital status negatively influence physical health. Living place, average annual household income, number of employees in the work unit, and subhealth proportion in the work unit significantly and positively influence the risk perception, and only age negatively influences the risk perception. The number of children had a moderating effect on physical subhealth and risk perception (Interaction coefficient α = −0.3, P < 0.05 ). Conclusions. To achieve the overall improvement of public health, relevant management departments can provide targeted interventions for the public with different levels of risk perception. Also, the physical subhealth of the public can be addressed by encouraging the public to attach importance to education, improving the public living environment to build a livable city, strengthening psychological guidance and intervention for couples heading toward divorce to reduce the divorce rate, focusing on the health of work unit employees and regularly organizing employees to attend medical checkups, and actively responding to the national policy of family planning.

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Research Progress of Doctor-patient Risk Perception

Cited by 3 publications

References 0 publications

Bibliometric and visualization analysis of risk management in the doctor–patient relationship: A systematic quantitative literature review

Bibliometric and visualization analysis of risk management in the doctor–patient relationship: A systematic quantitative literature review

An Empirical Study on Physical Sub-Health Risk Perception: Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China

An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China

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