Background: Effective disaster preparedness requires coordination across multiple organizations. This article describes a detailed framework developed through the BioNet program to facilitate coordination of bioterrorism preparedness planning among military and civilian decision makers.

Methods: The authors and colleagues conducted a series of semistructured interviews with civilian and military decision makers from public health, emergency management, hazardous material response, law enforcement, and military health in the San Diego area. Decision makers used a software tool that simulated a hypothetical anthrax attack, which allowed them to assess the effects of a variety of response actions (eg, issuing warnings to the public, establishing prophylaxis distribution centers) on performance metrics. From these interviews, the authors characterized the information sources, technologies, plans, and communication channels that would be used for bioterrorism planning and responses. The authors used influence diagram notation to describe the key bioterrorism response decisions, the probabilistic factors affecting these decisions, and the response outcomes.

Results: The authors present an overview of the response framework and provide a detailed assessment of two key phases of the decision-making process:

1. pre-event planning and investment and
   
2. incident characterization and initial responsive measures.
   

The framework enables planners to articulate current conditions; identify gaps in existing policies, technologies, information resources, and relationships with other response organizations; and explore the implications of potential system enhancements.

Conclusions: Use of this framework could help decision makers execute a locally coordinated response by identifying the critical cues of a potential bioterrorism event, the information needed to make effective response decisions, and the potential effects of various decision alternatives. Key words: bioterrorism, decision making, organization and administration, regional health planning

OBJECTIVE: To assess and compare alternative approaches of measuring preference-based health-related quality of life (HRQoL) in treatment-experienced HIV patients and evaluate their association with health status and clinical variables. DESIGN: Cross-sectional study.

SETTING: Twenty-eight Veterans Affairs hospitals in the United States, 13 hospitals in Canada, and 8 hospitals in the United Kingdom.

PATIENTS: Three hundred sixty-eight treatment-experienced HIV-infected patients enrolled in the Options in Management with Antiretrovirals randomized trial.

MEASUREMENTS: Baseline sociodemographic and clinical indicators and baseline HRQoL using the Medical Outcome Study HIV Health Survey (MOS-HIV), the EQ-5D, the EQ-5D visual analog scale (EQ-5D VAS), the Health Utilities Index Mark 3 (HUI3), and standard gamble (SG) and time trade-off (TTO) techniques. RESULTS: The mean (SD) baseline HRQoL scores were as follows: MOS-HIV physical health summary score 41.70 (11.16), MOS-HIV mental health summary score 44.76 (11.38), EQ-5D 0.77 (0.19), HUI3 0.59 (0.32), EQ-5D VAS 65.94 (21.71), SG 0.75 (0.29), and TTO 0.80 (0.31). Correlations between MOS-HIV summary scores and EQ-5D, EQ-5D VAS, and HUI3 ranged from 0.60 to 0.70; the correlation between EQ-5D and HUI3 was 0.73; and the correlation between SG and TTO was 0.43. Preference-based HRQoL scores were related to physical, mental, social, and overall health as measured by MOS-HIV. Concomitant medication use, CD4 cell count, and HIV viral load were related to some instruments' scores.

CONCLUSIONS: On average, preference-based HRQoL for treatment-experienced HIV patients was decreased relative to national norms but also highly variable. Health status and clinical variables were related to HRQoL.

The American College of Physicians (ACP) developed this guidance statement to present the available evidence on screening for HIV in health care settings. METHODS: This guidance statement is derived from an appraisal of available guidelines on screening for HIV. Authors searched the National Guideline Clearinghouse to identify guidelines on screening for HIV in the United States and used the AGREE (Appraisal of Guidelines Research and Evaluation) instrument to evaluate guidelines from the U.S. Preventive Services Task Force and the Centers for Disease Control and Prevention. GUIDANCE STATEMENT 1: ACP recommends that clinicians adopt routine screening for HIV and encourage patients to be tested. GUIDANCE STATEMENT 2: ACP recommends that clinicians determine the need for repeat screening on an individual basis.

Russia has one of the world's fastest growing HIV epidemics, and HIV screening has been widespread. Whether such screening is an effective use of resources is unclear. We used epidemiologic and economic data from Russia to develop a Markov model to estimate costs, quality of life and survival associated with a voluntary HIV screening programme compared with no screening in Russia. We measured discounted lifetime health-care costs and quality-adjusted life years (QALYs) gained. We varied our inputs in sensitivity analysis. Early identification of HIV through screening provided a substantial benefit to persons with HIV, increasing life expectancy by 2.1 years and 1.7 QALYs. At a base-case prevalence of 1.2%, once-per-lifetime screening cost $13,396 per QALY gained, exclusive of benefit from reduced transmission. Cost-effectiveness of screening remained favourable until prevalence dropped below 0.04%. When HIV-transmission-related costs and benefits were included, once-per-lifetime screening cost $6910 per QALY gained and screening every two years cost $27,696 per QALY gained. An important determinant of the cost-effectiveness of screening was effectiveness of counselling about risk reduction. Early identification of HIV infection through screening in Russia is effective and cost-effective in all but the lowest prevalence groups.

Abstract

Objective: Inadequate adherence to highly active antiretroviral therapy (HAART) may lead to poor health outcomes and the development of HIV strains that are resistant to HAART. The authors developed a model to evaluate the cost-effectiveness of counseling interventions to improve adherence to HAART among men who have sex with men (MSM). Methods. The authors developed a dynamic compartmental model that incorporates HIV treatment, adherence to treatment, and infection transmission and progression. All data estimates were obtained from secondary sources. The authors evaluated a counseling intervention given prior to initiation of HAART and before all changes in drug regimens, combined with phone-in support while on HAART. They considered a moderate-prevalence and a high-prevalence population of MSM. Results. If the impact of HIV transmission is ignored, the counseling intervention has a cost-effectiveness ratio of $25,500 per quality-adjusted life year (QALY) gained. When HIV transmission is included, the cost-effectiveness ratio is much lower: $7400 and $8700 per QALY gained in the moderate- and high-prevalence populations, respectively. When the intervention is twice as costly per counseling session and half as effective as estimated in the base case (in terms of the number of individuals who become highly adherent, and who remain highly adherent), then the intervention costs $17,100 and $19,600 per QALY gained in the 2 populations, respectively. Conclusions. Counseling to improve adherence to HAART increased length of life, modestly reduced HIV transmission, and cost substantially less than $50,000 per QALY gained over a wide range of assumptions but did not reduce the proportion of drug-resistant strains. Such counseling provides only modest benefit as a tool for HIV prevention but can provide significant benefit for individual patients at an affordable cost.

ABSTRACT

Control of infectious diseases is a key global health priority. This paper describes the role that simulation can play in evaluating policies for infectious disease control. We describe ongoing simulation studies in three different areas: HIV prevention and treatment, contact tracing, and hepatitis B prevention and control.

We evaluated the frequency of HIV testing across the Department of Veterans Affairs (VA), the largest provider of HIV care in the United States. An electronic survey was used to determine the volume and location of HIV screening, confirmatory testing, rapid testing and laboratory consent policies in VA medical centers between October 1, 2005, and September 30, 2006. One hundred thirty-five VA laboratories reported that 112,033 HIV screening tests were performed (81% outpatients vs. 19% inpatients, p<.0001). Overall HIV prevalence was 1.49% (1.62% in inpatients vs. 1.46% in outpatients, p=N.S., range=0.2-3.8%). Rapid testing was available in 67% of facilities, 60% of which took place in the clinical laboratory. Sixty-four percent of labs required a copy of the informed consent in order to perform testing. We estimate that fewer than 10% of VA inpatients and fewer than 5% of VA outpatients were tested for HIV during the survey period. Substantial opportunities for increasing routine HIV testing exist in this population.

Although HIV infection is more prevalent in people younger than age 45 years, a substantial number of infections occur in older persons. Recent guidelines recommend HIV screening in patients age 13 to 64 years. The cost-effectiveness of HIV screening in patients age 55 to 75 years is uncertain. OBJECTIVE: To examine the costs and benefits of HIV screening in patients age 55 to 75 years. DESIGN: Markov model. DATA SOURCES: Derived from the literature. TARGET POPULATION: Patients age 55 to 75 years with unknown HIV status. TIME HORIZON: Lifetime. PERSPECTIVE: Societal. INTERVENTION: HIV screening program for patients age 55 to 75 years compared with current practice. OUTCOME MEASURES: Life-years, quality-adjusted life-years (QALYs), costs, and incremental cost-effectiveness. RESULTS OF BASE-CASE ANALYSIS: For a 65-year-old patient, HIV screening using traditional counseling costs $55,440 per QALY compared with current practice when the prevalence of HIV was 0.5% and the patient did not have a sexual partner at risk. In sexually active patients, the incremental cost-effectiveness ratio was $30,020 per QALY. At a prevalence of 0.1%, HIV screening cost less than $60,000 per QALY for patients younger than age 75 years with a partner at risk if less costly streamlined counseling is used. RESULTS OF SENSITIVITY ANALYSIS: Cost-effectiveness of HIV screening depended on HIV prevalence, age of the patient, counseling costs, and whether the patient was sexually active. Sensitivity analyses with other variables did not change the results substantially. LIMITATIONS: The effects of age on the toxicity and efficacy of highly active antiretroviral therapy and death from AIDS were uncertain. Sensitivity analyses exploring these variables did not qualitatively affect the results. CONCLUSION: If the tested population has an HIV prevalence of 0.1% or greater, HIV screening in persons from age 55 to 75 years reaches conventional levels of cost-effectiveness when counseling is streamlined and if the screened patient has a partner at risk. Screening patients with advanced age for HIV is economically attractive in many circumstances.