Adepoju Omolola E, Liaw Winston, Phillips Charles D
University of Houston, 5055 Medical Circle, Houston, TX 77204. Email:
Am J Manag Care. 2025 Feb 1;31(2):e39-e46. doi: 10.37765/ajmc.2025.89682.
To determine whether longer prior appointment durations are associated with reduced missed appointment rates.
Retrospective cohort study at a large Texas federally qualified health center network.
The dependent variable was missed appointments, and the primary independent variable was prior appointment duration. Other independent variables included sociodemographic (age, sex, race/ethnicity, insurance status), geographic (distance to the clinic, residence in a medically underserved area [MUA]), and clinical (visit history, visit type, visit dates, days between visits) factors. We used mixed-effects logistic regression to examine the relationship between prior appointment duration and missed appointments.
The study sample included 28,090 unique patients who had 56,180 appointments. The regression model demonstrated that longer prior appointment duration was associated with a lower likelihood of a missed appointment (OR, 0.90; 95% CI, 0.88-0.92). Being Hispanic or non-Hispanic Black (Hispanic: OR, 1.08; 95% CI, 1.03-1.15; Black: OR, 1.49; 95% CI, 1.38-1.61), lacking insurance (OR, 1.47; 95% CI, 1.38-1.57), and living 40 or more miles from the clinic (OR, 1.21; 95% CI, 1.08-1.36) were associated with higher odds of missing appointments. In contrast, living in an MUA (OR, 0.92; 95% CI, 0.82-0.96), having 3 or more previous visits (3-4 visits: OR, 0.87; 95% CI, 0.82-0.93), having more days between visits (91-180 days between visits: OR, 0.54; 95% CI, 0.50-0.59), and scheduling visits with physicians (OR, 0.90; 95% CI, 0.86-0.95) were associated with lower odds of missing appointments.
Duration of past appointments is inversely correlated with future missed appointment rates. Efforts to lengthen appointment times may have important effects on quality and health outcomes.
确定之前预约时间较长是否与降低失约率相关。
在德克萨斯州一个大型联邦合格健康中心网络进行的回顾性队列研究。
因变量是失约情况,主要自变量是之前的预约时长。其他自变量包括社会人口统计学因素(年龄、性别、种族/族裔、保险状况)、地理因素(到诊所的距离、居住在医疗服务不足地区[MUA])以及临床因素(就诊史、就诊类型、就诊日期、就诊间隔天数)。我们使用混合效应逻辑回归来检验之前预约时长与失约之间的关系。
研究样本包括28,090名有56,180次预约的独特患者。回归模型表明,之前预约时长越长,失约的可能性越低(比值比[OR],0.90;95%置信区间[CI],0.88 - 0.92)。西班牙裔或非西班牙裔黑人(西班牙裔:OR,1.08;95% CI,1.03 - 1.15;黑人:OR,1.49;95% CI,1.38 - 1.61)、没有保险(OR,1.47;95% CI,1.38 - 1.57)以及居住在距离诊所40英里或更远的地方(OR,1.21;95% CI,1.08 - 1.36)与更高的失约几率相关。相比之下,居住在MUA(OR,0.92;95% CI,0.82 - 0.96)、有3次或更多次之前的就诊经历(3 - 4次就诊:OR,0.87;95% CI,0.82 - 0.93)、就诊间隔天数更多(就诊间隔91 - 180天:OR,0.54;95% CI,0.50 - 0.59)以及预约医生就诊(OR,0.90;95% CI,0.86 - 0.95)与更低的失约几率相关。
过去预约的时长与未来的失约率呈负相关。延长预约时间的努力可能对医疗质量和健康结果产生重要影响。