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Background: Patients who have had an acute coronary syndrome (ACS) event have an increased risk for depression.Purpose: To evaluate the diagnostic accuracy of depression screening instruments and to compare safety and effectiveness of depression treatments in adults within 3 months of an ACS event.Data Sources: MEDLINE, EMBASE, PsycINFO, CINAHL, and Cochrane Database of Systematic Reviews from January 2003 to August 2017, and a manual search of citations from key primary and review articles.Study Selection: English-language studies of post-ACS patients that evaluated the diagnostic accuracy of depression screening tools or compared the safety and effectiveness of a broad range of pharmacologic and nonpharmacologic depression treatments.Data Extraction: 2 investigators independently screened each article for inclusion; abstracted the data; and rated the quality, applicability, and strength of evidence.Data Synthesis: Evidence from 6 of the 10 included studies showed that a range of depression screening instruments produces acceptable levels of diagnostic sensitivity, specificity, and negative predictive values (70% to 100%) but low positive predictive values (below 50%). The Beck Depression Inventory-II was the most studied tool. A large study found that a combination of cognitive behavioral therapy (CBT) and antidepressant medication improved depression symptoms, mental health-related function, and overall life satisfaction more than usual care.Limitation: Few studies, no evaluation of the influence of screening on clinical outcomes, and no studies addressing several clinical interventions of interest.Conclusion: Depression screening instruments produce diagnostic accuracy metrics that are similar in post-ACS patients and other clinical populations. Depression interventions have an uncertain effect on cardiovascular outcomes, but CBT combined with antidepressant medication produces modest improvement in psychosocial outcomes.Primary Funding Source: Agency for Healthcare Research and Quality (PROSPERO: CRD42016047032). [ABSTRACT FROM AUTHOR]

BACKGROUND: Pathologic and genetic data suggest that epithelial ovarian cancer may consist of indolent and aggressive phenotypes. The objective of the current study was to estimate the impact of a 2-phenotype paradigm of epithelial ovarian cancer on the mortality reduction achievable using available screening technologies. METHODS: The authors modified a Markov model of ovarian cancer natural history (the 1-phenotype model) to incorporate aggressive and indolent phenotypes (the 2-phenotype model) based on histopathologic criteria. Stage distribution, incidence, and mortality were calibrated to data from the Surveillance, Epidemiology, and End Results Program of the US National Cancer Institute. For validation, a Monte Carlo microsimulation (1000,000 events) of the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) multimodality prevalence screen was performed. Mortality reduction and positive predictive value (PPV) were estimated for annual screening. RESULTS: In validation against UKCTOCS data, the model-predicted percentage of screen-detected cancers diagnosed at stage I and II was 41% compared with 47% (UKCTOCS data), and the model-predicted PPV of screening was 27% compared with 35% (UKCTOCS data). The model-estimated PPV of a strategy of annual population-based screening in the United States at ages 50 to 85 years was 14%. The mortality reduction using annual postmenopausal screening was 14.7% (1-phenotype model) and 10.9% (2-phenotype model). Mortality reduction was lower with the 2-phenotype model than with the 1-phenotype model regardless of screening frequency or test sensitivity; 68% of cancer deaths are accounted for by the aggressive phenotype. CONCLUSIONS: The current analysis suggested that reductions in ovarian cancer mortality using available screening technologies on an annual basis are likely to be modest. A model that incorporated 2 clinical phenotypes of ovarian carcinoma into its natural history predicted an even smaller potential reduction in mortality because of the more frequent diagnosis of indolent cancers at early stages. [ABSTRACT FROM AUTHOR]

Background: The CDC recommends routine voluntary HIV testing of all patients 13-64 years of age. Despite this recommendation, HIV testing rates are low even among those at identifiable risk, and many patients do not return to receive their results.Objective: To examine the costs and benefits of strategies to improve HIV testing and receipt of results.Design: Cost-effectiveness analysis based on a Markov model. Acceptance of testing, return rates, and related costs were derived from a randomized trial of 251 patients; long-term costs and health outcomes were derived from the literature. SETTING/TARGET POPULATION: Primary-care patients with unknown HIV status.Interventions: Comparison of three intervention models for HIV counseling and testing: Model A = traditional HIV counseling and testing; Model B = nurse-initiated routine screening with traditional HIV testing and counseling; Model C = nurse-initiated routine screening with rapid HIV testing and streamlined counseling.Main Measures: Life-years, quality-adjusted life-years (QALYs), costs and incremental cost-effectiveness.Key Results: Without consideration of the benefit from reduced HIV transmission, Model A resulted in per-patient lifetime discounted costs of $48,650 and benefits of 16.271 QALYs. Model B increased lifetime costs by $53 and benefits by 0.0013 QALYs (corresponding to 0.48 quality-adjusted life days). Model C cost $66 more than Model A with an increase of 0.0018 QALYs (0.66 quality-adjusted life days) and an incremental cost-effectiveness of $36,390/QALY. When we included the benefit from reduced HIV transmission, Model C cost $10,660/QALY relative to Model A. The cost-effectiveness of Model C was robust in sensitivity analyses.Conclusions: In a primary-care population, nurse-initiated routine screening with rapid HIV testing and streamlined counseling increased rates of testing and receipt of test results and was cost-effective compared with traditional HIV testing strategies. [ABSTRACT FROM AUTHOR]

Abstract: Objective: Ovarian cancer is a leading cause of cancer-related deaths among women. Given the low prevalence of this disease, the effectiveness of screening strategies has not been established. We wished to estimate the clinical impact and cost-effectiveness of potential screening strategies for ovarian cancer using population-specific data. Methods: A Markov state transition model to simulate the natural history of ovarian cancer in a cohort of women age 20 to 100. Age-specific incidence and mortality rates were obtained from SEER. Base-case characteristics of a potential screening test were sensitivity 85%, specificity 95%, and cost $50. Outcome measures were mortality reduction, lifetime number of false positive screening tests, positive predictive value, years of life saved (YLS), lifetime costs in US dollars, and incremental cost-effectiveness ratios (ICER, in cost/YLS). Results: Model-predicted lifetime risk of ovarian cancer (1.38%), lifetime risk of death from ovarian cancer (0.95%), and stage distribution (stage I-19%; stage II-7%; stage III, IV, or unstaged — 74%) closely approximated SEER data. Annual screening resulted in 43% reduction in ovarian cancer mortality, with ICER of $73,469/YLS (base case) and $36,025/YLS (high-risk population) compared to no screening. In the base case, the average lifetime number of false positive tests is 1.06. Cost-effectiveness of screening is most sensitive to test frequency, specificity and cost. Conclusions: Annual screening for ovarian cancer has the potential to be cost effective, particularly in high-risk populations. Clinically acceptable positive predictive values are achieved if specificity exceeds 99%. Mortality reduction above 50% may not be achievable without screening intervals less than 12 months. [Copyright &y& Elsevier]

Background: HIV testing is cost-effective in unselected general medical populations, yet testing rates among those at risk remain low, even among those with regular primary care. HIV rapid testing is effective in many healthcare settings, but scant research has been done within primary care settings or within the US Department of Veteran's Affairs Healthcare System.Objectives: We evaluated three methods proven effective in other diseases/settings: nurse standing orders for testing, streamlined counseling, and HIV rapid testing.Design: Randomized, controlled trial with three intervention models: model A (traditional counseling/testing); model B (nurse-initiated screening, traditional counseling/testing); model C (nurse-initiated screening, streamlined counseling/rapid testing).Participants: Two hundred fifty-one patients with primary/urgent care appointments in two VA clinics in the same city (one large urban hospital, one freestanding outpatient clinic in a high HIV prevalence area).Measurements: Rates of HIV testing and receipt of results; sexual risk reduction; HIV knowledge improvement.Results: Testing rates were 40.2% (model A), 84.5% (model B), and 89.3% (model C; p = <.01). Test result receipt rates were 14.6% (model A), 31.0% (model B), 79.8% (model C; all p = <.01). Sexual risk reduction and knowledge improvement did not differ significantly between counseling methods.Conclusions: Streamlined counseling with rapid testing significantly increased testing and receipt rates over current practice without changes in risk behavior or posttest knowledge. Increased testing and receipt of results could lead to earlier disease identification, increased treatment, and reduced morbidity/mortality. Policymakers should consider streamlined counseling/rapid testing when implementing routine HIV testing into primary/urgent care. [ABSTRACT FROM AUTHOR]

Objectives. We sought to determine the prevalence of HIV in both inpatient and outpatient settings in 6 Department of Veterans Affairs (VA) health care sites. Methods. We collected demographic data and data on comorbid conditions and then conducted blinded, anonymous HIV testing. We conducted a multi-variate analysis to determine predictors of HIV infection. Results. We tested 4500 outpatient blood specimens and 4205 inpatient blood specimens; 326 (3.7%) patients tested positive for HIV. Inpatient HIV prevalence ranged from 1.2% to 6.9%; outpatient HIV prevalence ranged from 0.9% to 8.9%. Having a history of hepatitis B or C infection, a sexually transmitted disease, or pneumonia also predicted HIV infection. The prevalence of previously undocumented HIV infection varied from 0.1% to 2.8% among outpatients and from 0.0% to 1.7% among inpatients. Conclusions. The prevalence of undocumented HIV infection was sufficiently high for routine voluntary screening to be cost effective in each of the 6 sites we evaluated. Many VA health care systems should consider expanded routine voluntary HIV screening. (Am J Public Health. 2007;97:2173-2178. doi:10.2105/AJPH. 2007.110700) [ABSTRACT FROM AUTHOR]

Objective: Early identification of HIV infection is critical for patients to receive life-prolonging treatment and risk-reduction counseling. Understanding HIV screening practices and barriers to HIV testing is an important prelude to designing successful HIV screening programs. Our objective was to evaluate current practice patterns for identification of HIV.Methods: We used a retrospective cohort analysis of 13,991 at-risk patients seen at 4 large Department of Veterans Affairs (VA) health-care systems. We also reviewed 1,100 medical records of tested patients. We assessed HIV testing rates among at-risk patients, the rationale for HIV testing, and predictors of HIV testing and of HIV infection.Results: Of the 13,991 patients at risk for HIV, only 36% had been HIV-tested. The prevalence of HIV ranged from 1% to 20% among tested patients at the 4 sites. Approximately 90% of patients who were tested had a documented reason for testing.Conclusion: One-half to two-thirds of patients at risk for HIV had not been tested within our selected VA sites. Among tested patients, the rationale for HIV testing was well documented. Further testing of at-risk patients could clearly benefit patients who have unidentified HIV infection by providing earlier access to life-prolonging therapy. [ABSTRACT FROM AUTHOR]

Background: The costs, benefits, and cost-effectiveness of screening for human immunodeficiency virus (HIV) in health care settings during the era of highly active antiretroviral therapy (HAART) have not been determined. Methods: We developed a Markov model of costs, quality of life, and survival associated with an HIV-screening program as compared with current practice. In both strategies, symptomatic patients were identified through symptom-based case finding. Identified patients started treatment when their CD4 count dropped to 350 cells per cubic millimeter. Disease progression was defined on the basis of CD4 levels and viral load. The likelihood of sexual transmission was based on viral load, knowledge of HIV status, and efficacy of counseling. Results: Given a 1 percent prevalence of unidentified HIV infection, screening increased life expectancy by 5.48 days, or 4.70 quality-adjusted days, at an estimated cost of $194 per screened patient, for a cost-effectiveness ratio of $15,078 per quality-adjusted life-year. Screening cost less than $50,000 per quality-adjusted life-year if the prevalence of unidentified HIV infection exceeded 0.05 percent. Excluding HIV transmission, the cost-effectiveness of screening was $41,736 per quality-adjusted life-year. Screening every five years, as compared with a one-time screening program, cost $57,138 per quality-adjusted life-year, but was more attractive in settings with a high incidence of infection. Our results were sensitive to the efficacy of behavior modification, the benefit of early identification and therapy, and the prevalence and incidence of HIV infection. Conclusions: The cost-effectiveness of routine HIV screening in health care settings, even in relatively low-prevalence populations, is similar to that of commonly accepted interventions, and such programs should be expanded. N Engl J Med 2005;352:570-85. [ABSTRACT FROM AUTHOR]