Clinic-wide intervention lowers financial risk and improves revenue to HIV clinics through fewer missed primary care visits.

: We calculated the financial impact in 6 HIV clinics of a low-effort retention in care intervention involving brief motivational messages from providers, patient brochures, and posters. We used a linear regression model to calculate absolute changes in kept primary care visits from the preintervention year (2008-2009) to the intervention year (2009-2010). Revenue from patients' insurance was also assessed by clinic. Kept visits improved significantly in the intervention year versus the preintervention year (P < 0.0001). We found a net-positive effect on clinic revenue of +$24,000/year for an average-size clinic (7400 scheduled visits/year). We encourage HIV clinic administrators to consider implementing this low-effort intervention.VoRSUNY DownstateCommunity Health SciencesN/

The spectrum of engagement in HIV care: do more than 19% of HIV-infected persons in the US have undetectable viral load?

VoRSUNY DownstateCommunity Health SciencesN/

The Contribution of Missed Clinic Visits to Disparities in HIV Viral Load Outcomes.

Objectives: We explored the contribution of missed primary HIV care visits ("no-show") to observed disparities in virological failure (VF) among Black persons and persons with injection drug use (IDU) history.Methods: We used patient-level data from 6 academic clinics, before the Centers for Disease Control and Prevention and Health Resources and Services Administration Retention in Care intervention. We employed staged multivariable logistic regression and multivariable models stratified by no-show visit frequency to evaluate the association of sociodemographic factors with VF. We used multiple imputations to assign missing viral load values.Results: Among 10 053 patients (mean age = 46 years; 35% female; 64% Black; 15% with IDU history), 31% experienced VF. Although Black patients and patients with IDU history were significantly more likely to experience VF in initial analyses, race and IDU parameter estimates were attenuated after sequential addition of no-show frequency. In stratified models, race and IDU were not statistically significantly associated with VF at any no-show level.Conclusions: Because missed clinic visits contributed to observed differences in viral load outcomes among Black and IDU patients, achieving an improved understanding of differential visit attendance is imperative to reducing disparities in HIV.VoRSUNY DownstateCommunity Health SciencesN/

Measuring retention in HIV care: the elusive gold standard.

Background: Measuring retention in HIV primary care is complex, as care includes multiple visits scheduled at varying intervals over time. We evaluated 6 commonly used retention measures in predicting viral load (VL) suppression and the correlation among measures.Methods: Clinic-wide patient-level data from 6 academic HIV clinics were used for 12 months preceding implementation of the Centers for Disease Control and Prevention/Health Resources and Services Administration (CDC/HRSA) retention in care intervention. Six retention measures were calculated for each patient based on scheduled primary HIV provider visits: count and dichotomous missed visits, visit adherence, 6-month gap, 4-month visit constancy, and the HRSA HIV/AIDS Bureau (HRSA HAB) retention measure. Spearman correlation coefficients and separate unadjusted logistic regression models compared retention measures with one another and with 12-month VL suppression, respectively. The discriminatory capacity of each measure was assessed with the c-statistic.Results: Among 10,053 patients, 8235 (82%) had 12-month VL measures, with 6304 (77%) achieving suppression (VL <400 copies/mL). All 6 retention measures were significantly associated (P < 0.0001) with VL suppression (odds ratio; 95% CI, c-statistic): missed visit count (0.73; 0.71 to 0.75, 0.67), missed visit dichotomous (3.2; 2.8 to 3.6, 0.62), visit adherence (3.9; 3.5 to 4.3,0.69), gap (3.0; 2.6 to 3.3, 0.61), visit constancy (2.8; 2.5 to 3.0, 0.63), and HRSA HAB (3.8; 3.3 to 4.4, 0.59). Measures incorporating "no-show" visits were highly correlated (Spearman coefficient = 0.83-0.85), as were measures based solely on kept visits (Spearman coefficient = 0.72-0.77). Correlation coefficients were lower across these 2 groups of measures (range = 0.16-0.57).Conclusions: Six retention measures displayed a wide range of correlation with one another, yet each measure had significant association and modest discrimination for VL suppression. These data suggest there is no clear gold standard and that selection of a retention measure may be tailored to context.VoRSUNY DownstateCommunity Health SciencesN/

A Low-Effort, Clinic-Wide Intervention Improves Attendance for HIV Primary Care

Background: Retention in care for human immunodeficiency virus (HIV)-infected patients is a National HIV/AIDS Strategy priority. We hypothesized that retention could be improved with coordinated messages to encourage patients' clinic attendance. We report here the results of the first phase of the Centers for Disease Control and Prevention/Health Resources and Services Administration Retention in Care project. Methods: Six HIV-specialty clinics participated in a cross-sectionally sampled pretest-posttest evaluation of brochures, posters, and messages that conveyed the importance of regular clinic attendance. 10,018 patients in 2008-2009 (preintervention period) and 11,039 patients in 2009-2010 (intervention period) were followed up for clinic attendance. Outcome variables were the percentage of patients who kept 2 consecutive primary care visits and the mean proportion of all primary care visits kept. Stratification variables were: new, reengaging, and active patients, HIV RNA viral load, CD4 cell count, age, sex, race or ethnicity, risk group, number of scheduled visits, and clinic site. Data were analyzed by multivariable log-binomial and linear models using generalized estimation equation methods. Results: Clinic attendance for primary care was significantly higher in the intervention versus preintervention year. Overall relative improvement was 7.0% for keeping 2 consecutive visits and 3.0% for the mean proportion of all visits kept (P < .0001). Larger relative improvement for both outcomes was observed for new or reengaging patients, young patients and patients with elevated viral loads. Improved attendance among the new or reengaging patients was consistent across the 6 clinics, and less consistent across clinics for active patients. Conclusion: Targeted messages on staying in care, which were delivered at minimal effort and cost, improved clinic attendance, especially for new or reengaging patients, young patients, and those with elevated viral loads.VoRSUNY DownstateCommunity Health SciencesN/

Enhanced personal contact with HIV patients improves retention in primary care: a randomized trial in 6 US HIV clinics.

Background: The aim of the study was to determine whether enhanced personal contact with human immunodeficiency virus (HIV)-infected patients across time improves retention in care compared with existing standard of care (SOC) practices, and whether brief skills training improves retention beyond enhanced contact.Methods: The study, conducted at 6 HIV clinics in the United States, included 1838 patients with a recent history of inconsistent clinic attendance, and new patients. Each clinic randomized participants to 1 of 3 arms and continued to provide SOC practices to all enrollees: enhanced contact with interventionist (EC) (brief face-to-face meeting upon returning for care visit, interim visit call, appointment reminder calls, missed visit call); EC + skills (organization, problem solving, and communication skills); or SOC only. The intervention was delivered by project staff for 12 months following randomization. The outcomes during that 12-month period were (1) percentage of participants attending at least 1 primary care visit in 3 consecutive 4-month intervals (visit constancy), and (2) proportion of kept/scheduled primary care visits (visit adherence).Results: Log-binomial risk ratios comparing intervention arms against the SOC arm demonstrated better outcomes in both the EC and EC + skills arms (visit constancy: risk ratio [RR], 1.22 [95% confidence interval {CI}, 1.09-1.36] and 1.22 [95% CI, 1.09-1.36], respectively; visit adherence: RR, 1.08 [95% CI, 1.05-1.11] and 1.06 [95% CI, 1.02-1.09], respectively; all Ps < .01). Intervention effects were observed in numerous patient subgroups, although they were lower in patients reporting unmet needs or illicit drug use.Conclusions: Enhanced contact with patients improved retention in HIV primary care compared with existing SOC practices. A brief patient skill-building component did not improve retention further. Additional intervention elements may be needed for patients reporting illicit drug use or who have unmet needs.Clinical Trials Registration: CDCHRSA9272007.VoRSUNY DownstateCommunity Health SciencesN/

Relations between Financing and Output in the Not-for-Profit Hospital

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68639/2/10.1177_107755878804500204.pd

Psychometric Evaluation of the Altered States of Consciousness Rating Scale (OAV)

BACKGROUND: The OAV questionnaire has been developed to integrate research on altered states of consciousness (ASC). It measures three primary and one secondary dimensions of ASC that are hypothesized to be invariant across ASC induction methods. The OAV rating scale has been in use for more than 20 years and applied internationally in a broad range of research fields, yet its factorial structure has never been tested by structural equation modeling techniques and its psychometric properties have never been examined in large samples of experimentally induced ASC. METHODOLOGY/PRINCIPAL FINDINGS: The present study conducted a psychometric evaluation of the OAV in a sample of psilocybin (n = 327), ketamine (n = 162), and MDMA (n = 102) induced ASC that was obtained by pooling data from 43 experimental studies. The factorial structure was examined by confirmatory factor analysis, exploratory structural equation modeling, hierarchical item clustering (ICLUST), and multiple indicators multiple causes (MIMIC) modeling. The originally proposed model did not fit the data well even if zero-constraints on non-target factor loadings and residual correlations were relaxed. Furthermore, ICLUST suggested that the "oceanic boundlessness" and "visionary restructuralization" factors could be combined on a high level of the construct hierarchy. However, because these factors were multidimensional, we extracted and examined 11 new lower order factors. MIMIC modeling indicated that these factors were highly measurement invariant across drugs, settings, questionnaire versions, and sexes. The new factors were also demonstrated to have improved homogeneities, satisfactory reliabilities, discriminant and convergent validities, and to differentiate well among the three drug groups. CONCLUSIONS/SIGNIFICANCE: The original scales of the OAV were shown to be multidimensional constructs. Eleven new lower order scales were constructed and demonstrated to have desirable psychometric properties. The new lower order scales are most likely better suited to assess drug induced ASC