Transportation characteristics associated with non-arrivals to paediatric clinic appointments: a retrospective analysis of 51 580 scheduled visits
David J. Wallace, Kristin N. Ray, Abbye Degan, Kristen Kurland, Derek C. Angus, Ana Malinow
Abstract
David J. Wallace, Kristin N. Ray, Abbye Degan, Kristen Kurland, Derek C. Angus, Ana Malinow
Abstract
BACKGROUND: Prior work has not studied the effects of transportation accessibility and patient factors on clinic non-arrival. OBJECTIVES: Our objectives were: (1) to evaluate transportation characteristics and patient factors associated with clinic non-arrival, (2) to evaluate the comparability of bus and car drive time estimates, and (3) to evaluate the combined effects of transportation accessibility and income on scheduled appointment non-arrival. METHODS: We queried electronic administrative records at an urban general pediatrics clinic. We compared patient and transportation characteristics between arrivals and non-arrivals for scheduled appointments using multivariable modeling. RESULTS: There were 15 346 (29.8%) clinic non-arrivals. In separate car and bus multivariable models that controlled for patient and transit characteristics, we identified significant interactions between income and drive time, and clinic non-arrival. Patients in the lowest quartile of income who were also in the longest quartile of travel time by bus had an increased OR of clinic non-arrival compared with patients in the lowest quartile of income and shortest quartile of travel time by bus (1.55; P<0.01). Similarly, patients in the lowest quartile of income who were also in the longest quartile of travel time by car had an increased OR of clinic non-arrival compared with patients in the lowest quartile of income and shortest quartile of travel time by car (1.21, respectively; P<0.01). CONCLUSIONS: Clinic non-arrival is associated with the interaction of longer travel time and lower income.
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BACKGROUND: Prior work has not studied the effects of transportation accessibility and patient factors on clinic non-arrival. OBJECTIVES: Our objectives were: (1) to evaluate transportation characteristics and patient factors associated with clinic non-arrival, (2) to evaluate the comparability of bus and car drive time estimates, and (3) to evaluate the combined effects of transportation accessibility and income on scheduled appointment non-arrival. METHODS: We queried electronic administrative records at an urban general pediatrics clinic. We compared patient and transportation characteristics between arrivals and non-arrivals for scheduled appointments using multivariable modeling. RESULTS: There were 15 346 (29.8%) clinic non-arrivals. In separate car and bus multivariable models that controlled for patient and transit characteristics, we identified significant interactions between income and drive time, and clinic non-arrival. Patients in the lowest quartile of income who were also in the longest quartile of travel time by bus had an increased OR of clinic non-arrival compared with patients in the lowest quartile of income and shortest quartile of travel time by bus (1.55; P<0.01). Similarly, patients in the lowest quartile of income who were also in the longest quartile of travel time by car had an increased OR of clinic non-arrival compared with patients in the lowest quartile of income and shortest quartile of travel time by car (1.21, respectively; P<0.01). CONCLUSIONS: Clinic non-arrival is associated with the interaction of longer travel time and lower income.
Key concepts: Quartile, Medicine, Arrival time, Travel time, Pediatrics, Transport engineering, Internal medicine, Confidence interval