Faculty Bibliography

BACKGROUND: Hospital care on weekends has been associated with delays in care, reduced quality, and poor clinical outcomes. OBJECTIVE: The purpose of this study was to evaluate the impact of a weekend hospital intervention on processes of care and clinical outcomes. The multifaceted intervention included expanded weekend diagnostic services, improved weekend discharge processes, and increased physician and care management services on weekends. DESIGN AND PATIENTS: This was an interrupted time series observational study of adult non-obstetric patients hospitalized at a single academic medical center between January 2011 and January 2014. The study included 18 months prior to and 19 months following the implementation of the intervention. Data were analyzed using segmented regression analysis with adjustment for confounders. MAIN MEASURES: The primary outcome was average length of stay. Secondary outcomes included percent of patients discharged on weekends, 30-day readmission rate, and in-hospital mortality rate. KEY RESULTS: The study included 57,163 hospitalizations. Following implementation of the intervention, average length of stay decreased by 13 % (95 % CI 10-15 %) and continued to decrease by 1 % (95 % CI 1-2 %) per month as compared to the underlying time trend. The proportion of weekend discharges increased by 12 % (95 % CI 2-22 %) at the time of the intervention and continued to increase by 2 % (95 % CI 1-3 %) per month thereafter. The intervention had no impact on readmissions or mortality. During the post-implementation period, the hospital was evacuated and closed for 2 months due to damage from Hurricane Sandy, and a new hospital-wide electronic health record was introduced. The contributions of these events to our findings are not known. We observed a lower inpatient census and found differences in patient characteristics, including higher rates of Medicaid insurance and comorbidities, in the post-Hurricane Sandy period as compared to the pre-Sandy period. CONCLUSIONS: The intervention was associated with a reduction in length of stay and an increase in weekend discharges. Our longitudinal study also illuminated the challenges of evaluating the effectiveness of a large-scale intervention in a real-world hospital setting.

OBJECTIVES: Community viral load (CVL) estimates vary based on analytic methods. We extended the CVL concept and used data from the Veterans Health Administration (VA) to determine trends in the health care system viral load (HSVL) and its sensitivity to varying definitions of the clinical population and assumptions regarding missing data. METHODS: We included HIV-infected patients in the Veterans Aging Cohort Study, 2000-2010, with at least one documented CD4 count, HIV-1 RNA or antiretroviral prescription (n = 37 318). We created 6-month intervals including patients with at least one visit in the past 2 years. We assessed temporal trends in clinical population size, patient clinical status and mean HSVL and explored the impact of varying definitions of the clinical population and assumptions about missing viral load. RESULTS: The clinical population size varied by definition, increasing from 16 000-19 000 patients in 2000 to 23 000-26 000 in 2010. The proportion of patients with suppressed HIV-1 RNA increased over time. Over 20% of patients had no viral load measured in a given interval or the past 2 years. Among patients with a current HIV-1 RNA, mean HSVL decreased from 97 800 HIV-1 RNA copies/mL in 2000 to 2000 copies/mL in 2010. When current HIV-1 RNA data were unavailable and the HSVL was recalculated using the last available HIV-1 RNA, HSVL decreased from 322 300 to 9900 copies/mL. HSVL was underestimated when using only current data in each interval. CONCLUSIONS: The CVL concept can be applied to a health care system, providing a measure of health care quality. Like CVL, HSVL estimates depend on definitions of the clinical population and assumptions about missing data.

Aims: There has been a rise in hepatitis C virus (HCV) infection in HIV- positive (HIV+) men who have sex with men (MSM). HIV/HCV co-infection complicates management of HIV and HCV, and increases the risk of serious liver disease. The aim of this study was to carry out a systematic review and meta-analysis to characterize the epidemiology of sexually transmitted HCV infection in this population. Methods: The search encompassed EMBASE, PubMed and BIOSIS, plus proceedings of scientific conferences and footnote chasing. To be eligible, reports must be published or presented 1990-2013, and include data on HCV incidence or risk factors for infection in HIV +MSM who were not injecting drugs. Studies were assigned quality ratings based on the Newcastle-Ottawa Scale. Results: The search retrieved 687 abstracts after duplicates were removed. After screening, there were 12 eligible studies from Europe, Australia, North America and Asia including 10 cohort and 2 case-control studies. HCV seroconversion rates ranged between 0 and 1.18/100 person-years (PYs), median 0.39/100PYs (n = 67,426 PYs). Two studies reported that sex while high on methamphetamine (AOR 28.6) and rectal trauma or bleeding (AOR = 6.2) were significantly associated with HCV seroconversion. Few studies examined the role of non-injection drug use in HCV infection. Conclusions: Evidence points to blood as the medium of sexual HCV transmission in HIV +MSM, and the role of drug use appears to be via the facilitation of mucosally traumatic sexual practices. The shared use of implements to administer drugs intranasally has received little attention as a possible risk factor for HCV infection in this population

BACKGROUND:WHO's 2013 revisions to its Consolidated Guidelines on antiretroviral drugs recommend routine viral load monitoring, rather than clinical or immunological monitoring, as the preferred monitoring approach on the basis of clinical evidence. However, HIV programmes in resource-limited settings require guidance on the most cost-effective use of resources in view of other competing priorities such as expansion of antiretroviral therapy coverage. We assessed the cost-effectiveness of alternative patient monitoring strategies. METHODS:We evaluated a range of monitoring strategies, including clinical, CD4 cell count, and viral load monitoring, alone and together, at different frequencies and with different criteria for switching to second-line therapies. We used three independently constructed and validated models simultaneously. We estimated costs on the basis of resource use projected in the models and associated unit costs; we quantified impact as disability-adjusted life years (DALYs) averted. We compared alternatives using incremental cost-effectiveness analysis. FINDINGS/RESULTS:All models show that clinical monitoring delivers significant benefit compared with a hypothetical baseline scenario with no monitoring or switching. Regular CD4 cell count monitoring confers a benefit over clinical monitoring alone, at an incremental cost that makes it affordable in more settings than viral load monitoring, which is currently more expensive. Viral load monitoring without CD4 cell count every 6-12 months provides the greatest reductions in morbidity and mortality, but incurs a high cost per DALY averted, resulting in lost opportunities to generate health gains if implemented instead of increasing antiretroviral therapy coverage or expanding antiretroviral therapy eligibility. INTERPRETATION/CONCLUSIONS:The priority for HIV programmes should be to expand antiretroviral therapy coverage, firstly at CD4 cell count lower than 350 cells per μL, and then at a CD4 cell count lower than 500 cells per μL, using lower-cost clinical or CD4 monitoring. At current costs, viral load monitoring should be considered only after high antiretroviral therapy coverage has been achieved. Point-of-care technologies and other factors reducing costs might make viral load monitoring more affordable in future. FUNDING/BACKGROUND:Bill & Melinda Gates Foundation, WHO.

BACKGROUND:Quality reporting is increasingly used as a tool to encourage health systems, hospitals, and their practitioners to deliver the greatest health benefit. However, quality reporting systems may have unintended negative consequences, such as inadvertently encouraging "cherry-picking" by inadequately adjusting for patients who are challenging to take care of, or underpowering to reliably detect meaningful differences in care. There have been no reports seeking to identify a minimum level of accuracy that ought to be viewed as a prerequisite for quality reporting. METHOD/METHODS:Using a decision analytic model, we seek to delineate minimal standards for quality measures to meet, using the simplest assumptions to illustrate what those standards may be. RESULTS:We find that even under assumptions regarding optimal performance of the quality reporting system (sensitivity and specificity of 1), we can identify a minimal level of accuracy required for the quality reporting system to "do no harm": the increase in health-related quality of life from a higher rather than lower quality practitioner must be greater than the number of practitioners per patient divided by the proportion of patients willing to switch from a lower to a higher quality provider. CONCLUSION/CONCLUSIONS:Quality measurement systems that have not been demonstrated to improve health outcomes should be held to a specific standard of measurement accuracy.

BACKGROUND: The surgical robot has been widely adopted in the United States in spite of its high cost and controversy surrounding its benefit. Some have suggested that a "medical arms race" influences technology adoption. We wanted to determine whether a hospital would acquire a surgical robot if its nearest neighboring hospital already owned one. METHODS: We identified 554 hospitals performing radical prostatectomy from the Healthcare Cost and Utilization Project Statewide Inpatient Databases for seven states. We used publicly available data from the website of the surgical robot's sole manufacturer (Intuitive Surgical, Sunnyvale, CA) combined with data collected from the hospitals to ascertain the timing of robot acquisition during year 2001 to 2008. One hundred thirty four hospitals (24%) had acquired a surgical robot by the end of 2008. We geocoded the address of each hospital and determined a hospital's likelihood to acquire a surgical robot based on whether its nearest neighbor owned a surgical robot. We developed a Markov chain method to model the acquisition process spatially and temporally and quantified the "neighborhood effect" on the acquisition of the surgical robot while adjusting simultaneously for known confounders. RESULTS: After adjusting for hospital teaching status, surgical volume, urban status and number of hospital beds, the Markov chain analysis demonstrated that a hospital whose nearest neighbor had acquired a surgical robot had a higher likelihood itself acquiring a surgical robot. (OR=1.71, 95% CI: 1.07-2.72, p=0.02). CONCLUSION: There is a significant spatial and temporal association for hospitals acquiring surgical robots during the study period. Hospitals were more likely to acquire a surgical robot during the robot's early adoption phase if their nearest neighbor had already done so.

OBJECTIVE:: To compare the value and effectiveness of different prioritization strategies of pre-exposure prophylaxis (PrEP) in New York City (NYC). DESIGN:: Mathematical modelling utilized as clinical trial is not feasible. METHODS:: Using a model accounting for both sexual and parenteral transmission of HIV, we compare different PrEP prioritization strategies (PPS) with two scenarios - no PrEP and PrEP for all susceptible at-risk individuals. The PPS included PrEP for all MSM, only high-risk MSM, high-risk heterosexuals, and IDUs, and all combinations of these four strategies. Outcomes included HIV infections averted, and incremental cost-effectiveness (per-infection averted) ratios. Initial assumptions regarding PrEP included a 44% reduction in HIV transmission, 50% uptake in the prioritized population and an annual cost per person of $9762. Sensitivity analyses on key parameters were conducted. RESULTS:: Prioritization to all MSM results in a 19% reduction in new HIV infections. Compared with PrEP for all persons at-risk, this PPS retains 79% of the preventive effect at 15% of the total cost. PrEP prioritized to only high-risk MSM results in a reduction in new HIV infections of 15%. This PPS retains 60% of the preventive effect at 6% of the total cost. There are diminishing returns when PrEP utilization is expanded beyond this group. CONCLUSION:: PrEP implementation is relatively cost-inefficient under our initial assumptions. Our results suggest that PrEP should first be promoted among MSM who are at particularly high risk of HIV acquisition. Further expansion beyond this group may be cost-effective, but is unlikely to be cost-saving.

INTRODUCTION: Rates of screening colonoscopies, an effective method of preventing colorectal cancer, have increased in New York City over the past decade, and racial disparities in screening have declined. However, vulnerable subsets of the population may not be reached by traditional surveillance and intervention efforts to improve colorectal cancer screening rates. METHODS: We compared rates of screening colonoscopies among black men aged 50 or older from a citywide random-digit-dial sample and a location-based sample focused on hard-to-reach populations to evaluate the representativeness of the random-digit-dial sample. The location-based sample (N = 5,568) was recruited from 2010 through 2013 from community-based organizations in New York City. Descriptive statistics were used to compare these data with data for all black men aged 50 or older from the 2011 cohort of the Community Health Survey (weighted, N = 334) and to compare rates by community-based setting. RESULTS: Significant differences in screening colonoscopy history were observed between the location-based and random-digit-dial samples (49.1% vs 62.8%, P < .001). We observed significant differences between participants with and without a working telephone among the location-based sample and between community-based settings. CONCLUSIONS: Vulnerable subsets of the population such as those with inconsistent telephone access are excluded from random-digit-dial samples. Practitioners and researchers should consider the target population of proposed interventions to address disparities, and whether the type of setting reaches those most in need of services.