Personal, health system, and geosocial disparities in appointment nonadherence at family medicine clinics in southcentral Pennsylvania, United States

IF 1.8 Q2 MEDICINE, GENERAL & INTERNAL
Wen-Jan Tuan DHA, MS, MPH, Ashley Weems, Shou Ling Leong MD
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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.

Abstract Image

美国宾夕法尼亚州中南部家庭医疗诊所不遵守预约的个人、医疗系统和地理社会差异
该研究采用回顾性横断面设计,利用电子健康记录和邻里层面的社会健康指标,通过地理编码将患者家庭住址联系起来。研究对象包括 2022 年 1 月至 12 月期间在农村和郊区的 14 家家庭医疗诊所接受初级保健服务并至少预约过一次的患者。研究采用负二项回归法来检验个人、医疗系统和地理社会效应对爽约和当天取消预约风险的影响。在研究期间,75182 名患者共预约了 258614 次,其中 20256 名患者爽约率为 7.8%。分析结果显示,少数族裔群体的失约率是白人的 1.24-1.65 倍。女性和讲英语者的爽约风险要低 14%。在医疗补助和无保险的人群中,未赴约的几率明显增加(32%-64%)。曾有过爽约或当天取消预约经历的人,爽约几率要高出 6%-27% 。生活在社会经济条件较差地区的人爽约风险也较高。未来旨在减少爽约的工作可以针对分析中发现的高危人群制定个性化的干预措施。
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来源期刊
Journal of General and Family Medicine
Journal of General and Family Medicine MEDICINE, GENERAL & INTERNAL-
CiteScore
2.10
自引率
6.20%
发文量
79
审稿时长
48 weeks
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