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1.
BMJ Open Qual ; 10(1)2021 01.
Article in English | MEDLINE | ID: mdl-33414253

ABSTRACT

BACKGROUND: Despite increased efforts to promote HIV screening, a large proportion of the US population have never been tested for HIV. OBJECTIVE: To determine whether provider education and personalised HIV screening report cards can increase HIV screening rates within a large integrated healthcare system. DESIGN: This quality improvement study provided a cohort of primary care physicians (PCPs) a brief educational intervention and personalised HIV screening report cards with quarterly performance data. PARTICIPANTS: Participants included a volunteer cohort of 20 PCPs in the department of adult and family medicine. MAIN MEASURES: Per cent of empaneled patients screened for HIV by cohort PCPs compared with PCPs at the Kaiser Permanente Oakland Medical Center (KPOAK) and the non-Oakland Medical Centers in Northern California region (Kaiser Permanente Northern California (KPNC)). KEY RESULTS: Of the 20 participating PCPs, 13 were female and 7 were male. Thirteen were internal medicine and seven family medicine physicians. The average age was 40 years and average practice experience was 9 years after residency. During the 12-month intervention, the estimated increase in HIV screening in the cohort PCP group was 2.6% as compared with 1.9% for KPOAK and 1.8% for KPNC. CONCLUSIONS: These findings suggest that performance-related report cards are associated with modestly increased rates of HIV screening by PCPs.


Subject(s)
Delivery of Health Care, Integrated , Group Practice , HIV Infections , Adult , Female , HIV Infections/diagnosis , HIV Infections/epidemiology , Humans , Male , Primary Health Care , Quality Improvement
2.
Alcohol Clin Exp Res ; 44(12): 2545-2554, 2020 12.
Article in English | MEDLINE | ID: mdl-33067802

ABSTRACT

BACKGROUND: Unhealthy alcohol use among persons living with HIV (PLWH) is linked to significant morbidity, and use of alcohol services may differ by HIV status. Our objective was to compare unhealthy alcohol use screening and treatment by HIV status in primary care. METHODS: Cohort study of adult (≥18 years) PLWH and HIV-uninfected participants frequency matched 20:1 to PLWH by age, sex, and race/ethnicity who were enrolled in a large integrated healthcare system in the United States, with information ascertained from an electronic health record. Outcomes included unhealthy alcohol screening, prevalence, provider-delivered brief interventions, and addiction specialty care visits. Other predictors included age, sex, race/ethnicity, neighborhood deprivation index, depression, smoking, substance use disorders, Charlson comorbidity index, prior outpatient visits, insurance type, and medical facility. Cox proportional hazards models were used to compute hazard ratios (HR) for the outcomes of time to unhealthy alcohol use screening and time to first addiction specialty visit. Poisson regression with robust standard errors was used to compute prevalence ratios (PR) for other outcomes. RESULTS: 11,235 PLWH and 227,320 HIV-uninfected participants were included. By 4.5 years after baseline, most participants were screened for unhealthy alcohol use (85% of PLWH and 93% of HIV-uninfected), but with a lower rate among PLWH (adjusted HR 0.84, 95% CI 0.82 to 0.85). PLWH were less likely, compared with HIV-uninfected participants, to report unhealthy drinking among those screened (adjusted PR 0.74, 95% CI 0.69 to 0.79), and among those who screened positive, less likely to receive brief interventions (adjusted PR 0.82, 95% CI 0.75 to 0.90), but more likely (adjusted HR 1.7, 95% CI 1.2 to 2.4) to have an addiction specialty visit within 1 year. CONCLUSIONS: Unhealthy alcohol use was lower in PLWH, but the treatment approach by HIV status differed. PLWH reporting unhealthy alcohol use received less brief interventions and more addiction specialty care than HIV-uninfected participants.


Subject(s)
Alcoholism/complications , HIV Infections/complications , Alcoholism/diagnosis , Alcoholism/therapy , Case-Control Studies , Delivery of Health Care, Integrated/statistics & numerical data , Female , HIV Infections/psychology , Humans , Male , Mass Screening/statistics & numerical data , Middle Aged , Poisson Distribution , Primary Health Care/statistics & numerical data , Proportional Hazards Models
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