Ensuring high quality primary care for people living with HIV (PLWH) is important. We studied factors associated with meeting Health Resources and Services Administration-identified HIV performance measures, among a population-based sample of 376 PLWH in care at 24 Philadelphia clinics. Quality of care was assessed by a patient-level composite of 15 performance measures, focusing on HIV-specific care, vaccinations, and comorbid condition screening. Adjusted incidence rate ratios (IRR) demonstrated relationships between patient and clinic factors and the performance measures score. The mean number of measures met was 8.52. Older age groups met more measures than 18-to 29-year-olds (age 40-49: adjusted IRR: 1.19, 95% CI: 1.05-1.35; age ‡ 50: adjusted IRR: 1.19, 95% CI: 1.03-1.35). Higher CD4 counts were associated with meeting more measures compared to CD4 < 200 cells/lL (CD4 350-499 cells/lL: adjusted IRR: 1.14, 95% CI: 1.02-1.28; ‡ 500 cells/ lL: adjusted IRR: 1.12, 95% CI: 1.01-1.26). PLWH attending clinics that provide adherence counseling or case management met more measures (adjusted IRR: 1.12, 95% CI: 1.04-1.21; adjusted IRR: 1.08, 95% CI: 1.02-1.14; respectively) than those attending clinics without these services. Limitations include potentially poor performance measure documentation and equal treatment of measures. Future work should focus on improving compliance with performance measures.
Travel distance to medical care has been assessed using a variety of geographic methods. Network analyses are less common, but may generate more accurate estimates of travel costs. We compared straight-line distances and driving distance, as well as average drive time and travel time on a public transit network for 1789 persons diagnosed with HIV between 2010 and 2012 to identify differences overall, and by distinct geographic areas of Philadelphia. Paired t-tests were used to assess differences across methods, and analysis of variance was used to assess between-group differences. Driving distances were significantly longer than straight-line distances (p<0.001) and transit times were significantly longer than driving times (p<0.001). Persons living in the northeast section of the city traveled greater distances, and at greater cost of time and effort, than persons in all other areas of the city (p<0.001). Persons living in the northwest section of the city traveled farther and longer than all other areas except the northeast (p<0.0001). Network analyses that include public transit will likely produce a more realistic estimate of the travel costs, and may improve models to predict medical care outcomes.
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