DOI: 10.1177/23743735261502057 ISSN: 2374-3735

Improving Access to Specialty Care: Analysis of Factors Affecting Follow-up Patterns in an Outpatient Academic Pulmonary Clinic

Angelika Drozd, Kiera L. Brennan, Alexander W. Sudyn, Patrick J. Henry, Keith Guevarra, Yonatan Y. Greenstein

Prolonged wait times for appointments in pulmonary specialty clinics contribute to worse patient outcomes. We determined the follow-up patterns and factors associated with appointment no-show to identify opportunities to increase appointment availability while improving follow-up. We conducted a retrospective observational cohort study of patients scheduled from 2017-2019 in the outpatient pulmonary fellows’ clinic of an academic tertiary care hospital. A successful visit was an appointment documented as completed. Appointment-level associations with no-show were evaluated using multivariable logistic generalized estimating equations. Among 1,612 patients, 4,689 appointments were scheduled. After excluding 1,247 cancellations and 6 appointments with indeterminate disposition, 3,436 appointments among 1,479 patients were included in the no-show analysis; 1,461 (42.5%) were no-shows. Average intended and actual follow-up intervals were 11.2 weeks and 24.8 weeks, respectively. In the complete-case adjusted analysis (3,427 appointments among 1,470 patients), substance use disorders (adjusted odds ratios [aORs], 1.86-3.43; P≤.011), inpatient referral (aOR, 2.41; P<.001), and pneumonia (aOR, 2.63; P=.046) were associated with greater odds of no-show. Spanish language (aOR, 0.59; P<.001), charity care (aOR, 0.63; P=.002), and external outpatient referral (aOR, 0.49; P<.001) were associated with lower odds. Emergency department referral and driving distance were not independently associated with no-show. Our clinic had short intended follow-up intervals and a high no-show rate. These appointment-level associations may inform continuity-focused scheduling and targeted attendance support. Standardizing follow-up intervals and using prediction-based overbooking should be prospectively evaluated for effects on access, workflow, and patient experience.

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