Faculty Bibliography

In integrated health care systems, techniques that identify successes and opportunities for targeted improvement are needed. The authors propose a new method for estimating population health that provides a more accurate and dynamic assessment of performance and priority setting. Member data from a large integrated health system (n = 96,246, 73.8% female, mean age = 44 ± 0.01 years) were used to develop a mechanistic mathematical simulation, representing the top causes of US mortality in 2014 and their associated risk factors. An age- and sex-matched US cohort served as comparator group. The simulation was recalibrated and retested for validity employing the outcome measure of 5-year mortality. The authors sought to estimate potential population health that could be gained by improving health risk factors in the study population. Potential gains were assessed using both average life years (LY) gained and average quality-adjusted life years (QALYs) gained. The simulation validated well compared to integrated health system data, producing an AUC (area under the curve) of 0.88 for 5-year mortality. Current population health was estimated as a life expectancy of 84.7 years or 69.2 QALYs. Comparing potential health gain in the US cohort to the Kaiser Permanente cohort, eliminating physical inactivity, unhealthy diet, smoking, and uncontrolled diabetes resulted in an increase of 1.5 vs. 1.3 LY, 1.1 vs. 0.8 LY, 0.5 vs. 0.2 LY, and 0.5 vs. 0.5 LY on average per person, respectively. Using mathematical simulations may inform efforts by integrated health systems to target resources most effectively, and may facilitate goal setting.

Three quarters of new HIV infections in the US are among men who have sex with men (MSM). In other populations, incarceration is a social determinant of elevations in viral load and HIV-related substance use and sex risk behavior. There has been limited research on incarceration and these HIV transmission risk determinants in HIV-positive MSM. We used the Veterans Aging Cohort Study (VACS) 2011-2012 follow-up survey to measure associations between past year and prior (more than one year ago) incarceration and HIV viral load and substance use and sex risk behavior among HIV-positive MSM (N = 532). Approximately 40% had ever been incarcerated, including 9% in the past year. In analyses adjusting for sociodemographic factors, past year and prior incarceration were strongly associated with detectable viral load (HIV-1 RNA >500 copies/mL) (past year adjusted odds ratio (AOR): 3.50 95% confidence interval (CI): 1.59, 7.71; prior AOR: 2.48 95% CI: 1.44, 4.29) and past 12 month injection drug use (AORs > 6), multiple sex partnerships (AORs > 1.8), and condomless sex in the context of substance use (AORs > 3). Past year incarceration also was strongly associated with alcohol and non-injection drug use (AOR > 2.5). Less than one in five HIV-positive MSM recently released from incarceration took advantage of a jail/prison re-entry health care program available to veterans. We need to reach HIV-positive MSM leaving jails and prisons to improve linkage to care and clinical outcomes and reduce transmission risk upon release.

Background. Despite the high efficacy of PrEP, it continues to be underutilized. We examined the extent to which patients with a documented positive test for STIs were provided PrEP at an urban municipal medical center. Methods. We reviewed data of all patients seen between January 1, 2014 and July 30, 2017 who were > 18 years old and had an initial HIV negative test and >=1 positive test for Chlamydia, Gonorrhea, or Syphilis. We examined PrEP prescription data by gender, race/ethnicity, and clinic location. Differences between groups were compared using Chi-squared analysis and logistic regression. Results. Of 1,142 initially HIV- patients who were identified as having a positive STI result, 52% were female, 89% either Black or Hispanic, with a median age of 40 years (quartiles 30, 47). 58% had Medicare/Medicaid and 34% were self-pay or uninsured (Table 1). Only 25 (2.1%) of 1,142 patients who had >=1 STI test positive were prescribed PrEP. No women received PrEP. Whites (aOR: 21.7 [95% CI:4.4, 107, P < 0.001] and Hispanics (aOR:6.64 [95% CI:1.35, 32.8, P = 0.02] were both more likely to receive PrEP than Blacks, after adjusting for age, sex, marital status, and insurance. All PrEP prescriptions originated from the Medicine, Emergency, or HIV specialty clinics although most STI testing was obtained in Emergency and Obstetrical/Gynecological clinics (Table 2). Conclusion. There were significant missed opportunities for HIV prevention among patients with STIs within the medical center, particularly among Hispanic and Black patients. Enrichment programs to educate providers and increase PrEP prescriptions may have a major impact on expanding HIV prevention, especially for women. (Figure Presented)

Importance/UNASSIGNED:Prostate cancer imaging rates appear to vary by health care setting. With the recent extension of the Veterans Access, Choice, and Accountability Act, the government has provided funds for veterans to seek care outside the Veterans Health Administration (VA). It is important to understand the difference in imaging rates and subsequent differences in patterns of care in the VA vs a traditional fee-for-service setting such as Medicare. Objective/UNASSIGNED:To assess the association between prostate cancer imaging rates and a VA vs fee-for-service health care setting. Design, Setting, and Participants/UNASSIGNED:This cohort study included data for men who received a diagnosis of prostate cancer from January 1, 2004, through March 31, 2008, that were collected from the VA Central Cancer Registry, linked to administrate claims and Medicare utilization records, and the Surveillance, Epidemiology, and End Results Program database. Three distinct nationally representative cohorts were constructed (use of VA only, use of Medicare only, and dual use of VA and Medicare). Men older than 85 years at diagnosis and men without high-risk features but missing any tumor risk characteristic (prostate-specific antigen, Gleason grade, or clinical stage) were excluded. Analysis of the data was completed from March 2016 to February 2018. Exposures/UNASSIGNED:Patient utilization of different health care delivery systems. Main Outcomes and Measures/UNASSIGNED:Rates of prostate cancer imaging were analyzed by health care setting (Medicare only, VA and Medicare, and VA only) among patients with low-risk prostate cancer and patients with high-risk prostate cancer. Results/UNASSIGNED:Of 98 867 men with prostate cancer (77.4% white; mean [SD] age, 70.26 [7.48] years) in the study cohort, 57.3% were in the Medicare-only group, 14.5% in the VA and Medicare group, and 28.1% in the VA-only group. Among men with low-risk prostate cancer, the Medicare-only group had the highest rate of guideline-discordant imaging (52.5%), followed by the VA and Medicare group (50.9%) and the VA-only group (45.9%) (P < .001). Imaging rates for men with high-risk prostate cancer were not significantly different among the 3 groups. Multivariable analysis showed that individuals in the VA and Medicare group (risk ratio [RR], 0.87; 95% CI, 0.76-0.98) and VA-only group (RR, 0.79; 95% CI, 0.67-0.92) were less likely to receive guideline-discordant imaging than those in the Medicare-only group. Conclusions and Relevance/UNASSIGNED:The results of this study suggest that patients with prostate cancer who use Medicare rather than the VA for health care could experience more utilization of health care services without an improvement in the quality of care.

Purpose: To compare the effectiveness of standard treatment using partial nephrectomy and personalized management strategies for small renal tumors using a simulation model.
Material(s) and Method(s): A decision-analytic model was constructed to compare life expectancy of management strategies for small renal tumors using: (1) uniform treatment with partial nephrectomy; or personalized options incorporating (2) percutaneous ablation; (3) biopsy, with triage of renal cell carcinoma (RCC) to nephron-sparing therapy; (4) watchful waiting for growth; and (5) MRI-based selection of papillary RCC for watchful waiting. The model included patient age, gender, chronic kidney disease (CKD) stage, renal functional decline specific to treatment type, comorbidities, benign and malignant tumors, RCC subtypes, and differential risks of cancer progression. Decisionmaking based on histologic subtype from biopsy was tested in sensitivity analysis.
Result(s): Partial nephrectomy was favored in patients of all ages with normal renal function. Otherwise, personalized strategies improved life expectancy compared with partial nephrectomy. The favorability of personalized therapy depended upon CKD stage, tumor anatomy and comorbidities. For example, patients with CKD stages 2 or 3a and moderate or high tumor anatomic complexity were most effectively treated with MRI-based management when they had no comorbidities (+ 2.57 years for MRI vs. partial nephrectomy in CKD 3a, Nephrometry Score 10), but with Charlson Comorbidity Index >=1, biopsy or watchful waiting for growth were most effective. Biopsy-based management became most effective in multiple patient subcategories when histologic subtype guided treatment selection.
Conclusion(s): Personalized treatment selection for small renal tumors likely improves life expectancy for patients with abnormal renal function

Background. Multilevel interventions combine individual component interventions, and their design can be informed by decision analysis. Our objective was to identify the optimal combination of interventions for alcohol-using HIV+ individuals on antiretroviral drug therapy in Maharashtra, India, explicitly considering stakeholder constraints. Methods. Using an HIV simulation, we evaluated the expected net monetary benefit (ENMB), the probability of lying on the efficiency frontier (PEF), and annual program costs of 5,836 unique combinations of 15 single-focused HIV risk-reduction interventions. We evaluated scenarios of 1) no constraints (i.e., maximize expected value), 2) short-term budget constraints (limits on annual programmatic costs of US$200,000 and $400,000), and 3) a constraint stemming from risk aversion (requiring that the strategy has >50% PEF). Results. With no constraints, the combination including long individual alcohol counseling, text-message adherence support, long group counseling for sex-risk, and long individual counseling for sex-risk (annual cost = $428,886; PEF ∼27%) maximized ENMB and would be the optimal design. With a cost constraint of $400,000, the combination including long individual alcohol counseling, text-message adherence support, brief group counseling for sex-risk, and long individual counseling for sex-risk (annual cost = $374,745; PEF ∼4%) maximized ENMB. With a cost constraint of $200,000, the combination including long individual alcohol counseling, text-message adherence support, and brief group counseling for sex-risk (annual cost = $187,335; PEF ∼54%) maximized ENMB. With the risk aversion constraint, the same configuration (long individual alcohol counseling, text-message support, and brief group counseling for sex-risk) maximized health benefit. Conclusion. Evaluating the costs, risks, and projected benefits of alternatives supports informed decision making prior to initiating study; however, stakeholder constraints should be explicitly included and discussed when using decision analyses to guide study design.

INTRODUCTION/BACKGROUND:Link4Health, a cluster-RCT, demonstrated the effectiveness of a combination strategy targeting barriers at various HIV continuum steps on linkage to and retention in care; showing effectiveness in achieving linkage to HIV care within 1 month plus retention in care at 12 months after HIV testing for people living with HIV (RR 1.48, 95% CI 1.19-1.96, p = 0.002). In addition to standard of care, Link4Health included: 1) Point-of-care CD4+ count testing; 2) Accelerated ART initiation; 3) Mobile phone appointment reminders; 4) Care and prevention package including commodities and informational materials; and 5) Non-cash financial incentive. Our objective was to evaluate the cost-effectiveness of a scale-up of the Link4Health strategy in Swaziland. METHODS AND FINDINGS/RESULTS:We incorporated the effects and costs of the Link4Health strategy into a computer simulation of the HIV epidemic in Swaziland, comparing a scenario where the strategy was scaled up to a scenario with no implementation. The simulation combined a deterministic compartmental model of HIV transmission with a stochastic microsimulation of HIV progression calibrated to Swaziland epidemiological data. It incorporated downstream health costs potentially saved and infections potentially prevented by improved linkage and treatment adherence. We assessed the incremental cost-effectiveness ratio of Link4Health compared to standard care from a health sector perspective reported in US$2015, a time horizon of 20 years, and a discount rate of 3% in accordance with WHO guidelines.[1] Our results suggest that scale-up of the Link4Health strategy would reduce new HIV infections over 20 years by 11,059 infections, a 7% reduction from the projected 169,019 cases and prevent 5,313 deaths, an 11% reduction from the projected 49,582 deaths. Link4Health resulted in an incremental cost per infection prevented of $13,310 and an incremental cost per QALY gained of $3,560/QALY from the health sector perspective. CONCLUSIONS:Using a threshold of <3 x per capita GDP, the Link4Health strategy is likely to be a cost-effective strategy for responding to the HIV epidemic in Swaziland.

BACKGROUND:Unhealthy alcohol consumption exacerbates the HIV epidemic in East Africa. Potential benefits of new trials that test the effectiveness of alcohol interventions could not be evaluated by traditional sampling methods. Given the competition for health care resources in East Africa, this study aims to determine the optimal sample size given the opportunity cost of potentially re-allocating trial funds towards cost-effective alcohol treatments. METHODS:We used value of information methods to determine the optimal sample size by maximizing the expected net benefit of sampling for a hypothetical 2-arm intervention vs. control randomized trial, across ranges of policymaker's willingness-to-pay for the health benefit of an intervention. Probability distributions describing the relative likelihood of alternative trial results were imputed based on prior studies. In the base case, policymaker's willingness-to-pay was based on a simultaneously resource-constrained priority (routine HIV virological testing). Sensitivity analysis was performed for various willingness-to-pay thresholds and intervention durations. RESULTS:A new effectiveness trial accounting for the benefit of more precise decision-making on alcohol intervention implementation would benefit East Africa $67,000 with the optimal sample size of 100 persons per arm under the base case willingness-to-pay threshold and intervention duration of 20 years. At both a conservative willingness-to-pay of 1 x GDP/capita and a high willingness-to-pay of 3 x GDP/capita for an additional health gain added by an alcohol intervention, a new trial was not recommended due to limited decision uncertainty. When intervention duration was 10 or 5 years, there was no return on investment across suggested willingness-to-pay thresholds. CONCLUSIONS:Value of information methods could be used as an alternative approach to assist the efficient design of alcohol trials. If reducing unhealthy alcohol use is a long-term goal for HIV programs in East Africa, additional new trials with optimal sample sizes ranging from 100 to 250 persons per arm could save the opportunity cost of implementing less cost-effective alcohol strategies in HIV prevention. Otherwise, conducting a new trial is not recommended.