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Personal, health system, and geosocial disparities in appointment nonadherence at family medicine clinics in southcentral Pennsylvania, United States.
Tuan, Wen-Jan; Weems, Ashley; Leong, Shou Ling.
Afiliação
  • Tuan WJ; Department of Family and Community Medicine, and Public Health Sciences, College of Medicine Pennsylvania State University Hershey Pennsylvania USA.
  • Weems A; Department of Family and Community Medicine, College of Medicine Pennsylvania State University Hershey Pennsylvania USA.
  • Leong SL; Department of Family and Community Medicine, College of Medicine Pennsylvania State University Hershey Pennsylvania USA.
J Gen Fam Med ; 25(4): 214-223, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38966650
ABSTRACT

Background:

To assess the relationship between patients' demographic, health system-related, and geosocial characteristics and the risk of missed appointments among patients in family medicine practice.

Methods:

The study was based on a retrospective cross-sectional design using electronic health records and neighborhood-level social determents of health metrics linked by geocoded patients' home address. The study population consisted of patients who had a primary care provider and at least one appointment at 14 family medicine clinics in rural and suburban areas in January-December 2022. Negative binomial regression was utilized to examine the impact of personal, health system, and geosocial effects on the risk of no-shows and same-day cancellations.

Results:

A total of 258,614 appointments were made from 75,182 patients during the study period, including 7.8% no-show appointments from 20,256 patients. The analysis revealed that individuals in the ethnic minority groups were 1.24-1.65 times more likely to miss their appointments than their White counterpart. Females and English speakers had 14% lower risk for no-show. A significant increase (32%-64%) in the odds of no-shows was found among individuals on Medicaid and uninsured. Persons with prior history of no-shows or same day cancellations were 6%-27% more likely to miss their appointments. The no-show risk was also higher among people living in areas experiencing socioeconomic disadvantage.

Conclusion:

The risk of missed appointments is affected by personal, health system, and geosocial contexts. Future efforts aiming to reduce no-shows could develop personalized interventions targeting the at-risk populations identified in the analysis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Gen Fam Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Gen Fam Med Ano de publicação: 2024 Tipo de documento: Article