Table 1.
Overall characteristics and factors associated with poor adherence to primary HIV care appointments among 1,221 patients with at least 4 scheduled appointments over a ≥6 month time period at the UAB 1917 HIV/AIDS Clinic, August 2004 – January 2007.†
| Characteristic | Mean ± SD or N (%) | Crude OR (95% CI) for No Show‡ | Adjusted OR (95% CI) for No Show‡ |
|---|---|---|---|
| Age (years) | 42.0 ± 9.2 | 0.82 (0.76–0.88)§** | 0.86 (0.80–0.93)§** |
| Gender | |||
| Male | 927 (75.9) | 1.0 | 1.0 |
| Female | 294 (24.1) | 1.34 (1.15–1.55)** | 1.10 (0.94–1.29) |
| Race | |||
| White | 649 (53.1) | 1.0 | 1.0 |
| African American | 572 (46.9) | 2.00 (1.75–2.29)** | 1.85 (1.61–2.14)** |
| Insurance | |||
| Private | 519 (42.5) | 1.0 | 1.0 |
| Public | 416 (34.1) | 1.58 (1.36–1.85)** | 1.35 (1.16–1.58)** |
| Uninsured | 286 (23.4) | 1.54 (1.29–1.83)** | 1.18 (0.99–1.41) |
| Affective mental health disorder | |||
| No | 615 (50.4) | 1.0 | 1.0 |
| Yes | 606 (49.6) | 0.89 (0.78–1.02) | 0.93 (0.81–1.06) |
| Alcohol abuse | |||
| No | 1068 (87.5) | 1.0 | 1.0 |
| Yes | 153 (12.5) | 1.26 (1.03–1.55)* | 1.22 (1.01–1.48)* |
| Substance abuse | |||
| No | 987 (80.8) | 1.0 | 1.0 |
| Yes | 234 (19.2) | 1.47 (1.25–1.73)** | 1.38 (1.17–1.63)** |
| Baseline CD4 count (cells/mm3) | |||
| ≤ 200 | 318 (26.0) | 1.35 (1.15–1.57)** | 1.12 (0.96–1.32) |
| 200 – 350 | 245 (21.1) | 1.29 (1.08–1.54)** | 1.22 (1.03–1.44)* |
| > 350 | 658 (53.9) | 1.0 | 1.0 |
| Number of total appointments scheduled† | 9.5 ± 3.7 | --- | --- |
| Missed visit proportion (MVP) ∥ | --- | --- | |
| 0% | 373 (30.6) | ||
| 0 < MVP < 25% | 355 (29.1) | ||
| 25 ≤ MVP < 50% | 332 (27.2) | ||
| 50 ≤ MVP < 75% | 143 (11.7) | ||
| 75 ≤ MVP < 100% | 18 (1.5) | ||
“No show” appointment status was modeled as the measure of poor adherence to HIV primary care appointments. All “arrived” and “no show” visits from all study participants during the study period were included in these analyses. “Cancelled” visits, appointments not attended for which a patient notified the clinic they would miss the visit or was hospitalized, were excluded.
Binomial generalized estimating equation (GEE) models with an auto-regressive correlation structure, which accounts for the correlation of multiple observations nested within each patient. Adjusted model controls for other variables with numeric values displayed in the table.
Odds ratio for 10-years increments
The missed visit proportion (MVP) is a binomial ratio of the number of “no show” visits divided by the overall number of scheduled appointments (“arrived” and “no show”) during the study period.
p<0.05
p<0.01