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Front Public Health ; 12: 1348426, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38784568

RESUMO

Background: Patient satisfaction survey serves as a pivotal tool in evaluating the quality of healthcare services. China's nationwide standard patient satisfaction measurement tool was introduced in 2019. This study aimed to assess the model fit of the national standard outpatient satisfaction questionnaire in a tertiary hospital and evaluate the outpatient satisfaction levels using this tool. Method: A cross-sectional survey using the national outpatient satisfaction questionnaire was conducted via message links to all hospital outpatients who registered between April and July 2022. The data collected underwent descriptive analysis, comparative analysis, and confirmatory factor analysis (CFA). Results: A total of 6,012 valid responses were received and analyzed during this period, with 52.9% of the participants being women. The confirmatory factor analysis (CFA) model showed a good fit and identified doctor communication as having a positive effect and environmental factors as having a negative effect on outpatients' satisfaction, with standardized regression weights of 0.46 and 0.42, respectively. Despite the remarkably high satisfaction levels, patients' recommendation for using the services of this hospital surpassed the overall evaluation and total satisfaction scores. Conclusion: A disparity was identified between the expectations and real experiences of outpatients, leading to some extent of dissatisfaction. To enhance satisfaction levels, the hospital should improve the communication skills of all clinical staff, simplify the environment layout for first-time visitors, and manage patient overloads.


Assuntos
Pacientes Ambulatoriais , Satisfação do Paciente , Centros de Atenção Terciária , Humanos , China , Feminino , Satisfação do Paciente/estatística & dados numéricos , Masculino , Adulto , Estudos Transversais , Inquéritos e Questionários , Pessoa de Meia-Idade , Pacientes Ambulatoriais/estatística & dados numéricos , Adolescente , Idoso , Adulto Jovem , Análise Fatorial
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