Findings About Patient Preferences for Medical Care Based on a Decision Tree Method Study Design for Influencing Factors.
Aim: This study aimed to investigate the influencing factors of the medical-seeking behavior of patients in a hospital in Nanning and descriptively analyze the main factors to further improve the medical system and optimize the allocation of health resources. Subject and methods: The willingness to...
| Publicado en: | Inquiry (00469580) pp. 1 - 10 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
5/2/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=156679947&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 156679947 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00469580 INQ jtl: Inquiry (00469580) issn: 00469580 maglogo: Y pubinfo: dt: 5/2/2022 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 156679947 156679947 156679947 10.1177/00469580221092831 156679947 ppf: 1 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Findings About Patient Preferences for Medical Care Based on a Decision Tree Method Study Design for Influencing Factors. aug: au: Li, Yu Li, Wen Wu, Zhihui Yuang, Jianhui Wei, Yanling Huang, Chao Huang, Daizheng affil: School of Information and Management, 74626 Guangxi Medical University, Nanning, China sug: subj: Patient Preference Medical Care Decision Trees Socioeconomic Factors Age Factors Geographic Factors Health Services Accessibility Hospitals China Quality Improvement Health Resource Allocation Human Random Sample China Descriptive Research Questionnaires Outpatients Descriptive Statistics Data Analysis Software Univariate Statistics Educational Status Employment Status Income Insurance, Health Health Care Costs Patient Satisfaction Tertiary Health Care Adult Middle Age Funding Source Adult: 19-44 years Middle Aged: 45-64 years ab: Aim: This study aimed to investigate the influencing factors of the medical-seeking behavior of patients in a hospital in Nanning and descriptively analyze the main factors to further improve the medical system and optimize the allocation of health resources. Subject and methods: The willingness to seek medical treatment questionnaire survey was conducted on patients who were in the outpatient clinic of a hospital in Nanning from Jun 2018 to Aug 2019. The patients' basic information was analyzed descriptively using the SPSS 23.0 software package, and the influencing factors of the willingness to seek medical treatment were analyzed by univariate analysis method. In addition, the importance of influencing factors in patient preference to seek medical treatment was explored by constructing a decision tree model. Results: A total of 3428 questionnaires were valid and the effective rate was 93.78%. Region, age, occupation, educational level, monthly income, insurance type, and disease type demonstrated diverse influences on the medical expenses of patients. In addition, differences were found between occupation and patient insurance situation, personal willingness to seek medical treatment, reasons for visiting the hospital, medical selection standard, preferred medical treatment location for common diseases, waiting time, treatment time, and manner of understanding the disease. Conclusion: Increasing attention has been paid on the patients' preference for medical treatment and their satisfaction with medical services. Medical institutions should reasonably allocate the proportion of medical insurance reimbursement and diversify the registration and appointment methods. Patients should be treated in different periods and properly allocated to improve the service mechanism of primary medical institutions. In addition, it is necessary to improve the medical publicity model and the efficiency of medical services according to the needs of patients, so as to relieve the pressure of medical treatment in large general hospitals. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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