Helping Men Find Their Way: Improving Prostate Cancer Clinic Attendance via Patient Navigation.

Navigation programs aim to help patients overcome barriers to cancer diagnosis and treatment. Missed clinic appointments have undesirable effects on the patient, health system, and society, and treatment delays have been shown to result in inferior surgical cure rates for men with prostate cancer (CaP). We sought to measure the impact of patient navigation on CaP clinic adherence. Patient navigators contacted patients prior to their first encounter for known or suspected CaP between 7/1/2016 and 6/30/2017. Encounters from 7/1/2014 to 6/30/2015 were used as a historical control. Patient-variables were analyzed including age, health insurance status, home address, zip code, race, ethnicity, and referring primary care clinic. Encounter-level variables included diagnosis (categorized as known or suspected CaP), date of appointment, type of appointment [new vs. return], and provider. The associations between several factors including navigation contact and these variables with missed appointment were analyzed using generalized linear mixed effects multivariate logistic regression. A total of 2854 scheduled clinic encounters from 986 unique patients were analyzed. Patient navigation resulted in a lower missed appointment rate (8.8% vs. 13.9%, OR = 0.64, IQR 0.44-0.93, p = 0.02 on multivariable analysis). Lack of health insurance (OR = 13.18 [5.13-33.83]), suspected but not confirmed CaP diagnosis (OR = 7.44 [4.85-11.42]), and Black (1.97 [1.06-3.65]) or Hispanic (OR = 3.61 [1.42-9.16]) race, were associated with missed appointment. Implementation of patient navigation reduced missed appointment rates for CaP related ambulatory encounters. Identifying risk factors for missed appointment may aid in targeting navigation services to those most likely to benefit from this intervention.

Determinants of Clinic Absenteeism: A Novel Method of Examining Distance from Clinic and Transportation.

Delayed treatment and non-adherence are associated with inferior prostate cancer (CaP) outcomes. Missed clinic appointments (MA) are one form of non-adherence that may be preventable. We conducted a retrospective cohort study of 1341 scheduled clinic encounters for men referred to an academic urology clinic for evaluation of known or suspected CaP. Driving distance and public transit times were calculated using a Google Distance Matrix API algorithm. Zip code level data regarding socioeconomic status was obtained from the 2013 American Community Survey. Logistic regression multivariate analysis was used to identify MA predictors. Of scheduled clinic encounters, 14% were missed. Public health insurance was associated with MA (Private insurance 10%, Public insurance 19%), (p < 0.01) Calendar month was associated with MA with December showing the highest rate (21.2%) and June the lowest (5.3%) rates. (p = 0.02) Appointments for suspected CaP were more likely to be missed (19.3%) than those for known CaP (10.5%), p < 0.01. Driving distance was inversely associated with rate of MA (CA median 11.8 miles, MA median 10.4 miles, p = 0.04) while public transit times were not (66.7 min for CA, 65.3 min for MA, p = 0.36). Men that missed appointments were from areas with lower household incomes and educational attainment. Patient encounter type, insurance status, and reason for referral remained significantly associated with MA after multivariable adjusted analysis. By computing public transit time to the clinic using a mapping engine, we present a novel way to measure this parameter for studies of urban health care.