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.

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.

OBJECTIVES: The purposes of this study were to develop a pediatric-focused tool for adverse drug event detection and describe the incidence and characteristics of adverse drug events in children's hospitals identified by this tool.

METHODS: A pediatric-specific trigger tool for adverse drug event detection was developed and tested. Eighty patients from each site were randomly selected for retrospective chart review. All adverse drug events identified using the trigger tool were evaluated for severity, preventability, ability to mitigate, ability to identify the event earlier, and presence of associated occurrence report. Each trigger and the entire tool were evaluated for positive predictive value.

RESULTS: Review of 960 randomly selected charts from 12 children's hospitals revealed 2388 triggers (2.49 per patient) and 107 unique adverse drug events. Mean adverse drug event rates were 11.1 per 100 patients, 15.7 per 1000 patient-days, and 1.23 per 1000 medication doses. The positive predictive value of the trigger tool was 3.7%. Twenty-two percent of all adverse drug events were deemed preventable, 17.8% could have been identified earlier, and 16.8% could have been mitigated more effectively. Ninety-seven percent of the identified adverse drug events resulted in mild, temporary harm. Only 3.7% of adverse drug events were identified in existing hospital-based occurrence reports. The most common adverse drug events identified were pruritis and nausea, the most common medication classes causing adverse drug events were opioid analgesics and antibiotics, and the most common stages of the medication management process associated with preventable adverse drug events were monitoring and prescribing/ordering.

CONCLUSIONS: Adverse drug event rates in hospitalized children are substantially higher than previously described. Most adverse drug events resulted in temporary harm, and 22% were classified as preventable. Only 3.7% were identified by using traditional voluntary reporting methods. Our pediatric-focused trigger tool is effective at identifying adverse drug events in inpatient pediatric populations.

Our study assesses how work-related monetary and nonmonetary factors affect physicians' job satisfaction at three academic medical centers in Germany and the United States, two countries whose differing health care systems experience similar problems in maintaining their physician workforce. We used descriptive statistics and factor and correlation analyses to evaluate physicians' responses to a self-administered questionnaire. Our study revealed that German physician respondents were less satisfied overall than their U.S. counterparts. In both countries, participation in decision making that may affect physicians' work was an important correlate of satisfaction. In Germany other important factors were opportunities for continuing education, job security, extent of administrative work, collegial relationships, and access to specialized technology. In the U.S. sample, job security, financial incentives, interaction with colleagues, and cooperative working relationships with colleagues and management were important predictors of overall job satisfaction. The implications of these findings for the development of policies and management tactics to increase physician job satisfaction in German and U.S. academic medical centers are discussed.

OBJECTIVE: To use unweighted counts of dependencies in activities of daily living (ADLs) to assess the impact of functional impairment requires an assumption of equal preferences for each ADL dependency. To test this assumption, we analyzed standard gamble (SG) utilities of single and combination ADL dependencies among older adults. STUDY DESIGN AND SETTING: Four hundred older adults used multimedia software (FLAIR1) to report SG utilities for their current health and hypothetical health states of dependency in each of 7 ADLs and 8 of 30 combinations of ADL dependencies. RESULTS: Utilities for health states of multiple ADL dependencies were often greater than for states of single ADL dependencies. Dependence in eating, which is the ADL dependency with the lowest utility rating of the single ADL dependencies, ranked lower than 7 combination states. Similarly, some combination states with fewer ADL dependencies had lower utilities than those with more ADL dependencies. These findings were consistent across groups by gender, age, and education. CONCLUSION: Our results suggest that the count of ADL dependencies does not adequately represent the utility for a health state. Cost-effectiveness analyses and other evaluations of programs that prevent or treat functional dependency should apply utility weights rather than relying on simple ADL counts.

We identify geographic, system, and socioeconomic differences between injured children cared for within and outside of state-designated trauma centers.

METHODS: This was a nonconcurrent observational study of a population-based sample from the California Office of Statewide Health Planning and Development Public Patient Discharge Database 1999 to 2005. Patients were 1 to 14 years of age, with International Classification of Diseases, Ninth Revision (ICD-9) diagnostic codes indicative of trauma. Injury Severity Scores were calculated from ICD-9 codes and categorized into severity categories. Outcomes were hospitalization in a trauma or nontrauma center.

RESULTS: Children with severe injury who resided 0 to 10, 11 to 25, 26 to 50, and more than 50 miles from a trauma center were hospitalized in these centers at rates of 80.0%, 71.2%, 51.4%, and 28.5%, respectively. Children with severe injury who were living in a county with a trauma center were hospitalized in these centers at rates of 78.8%, whereas children living in a county without a trauma center were hospitalized in trauma centers at rates of 39.0%. Children with severe injury and public, private non-health maintenance organization (HMO), and HMO insurance were hospitalized in trauma centers at rates of 77.7%, 68.0%, and 55.4%, respectively. Age, injury severity, insurance type, residence in a county with a trauma center, and proximity to a trauma center were identified as predictors of trauma center utilization by logistic regression.

CONCLUSION: We demonstrate considerable variation in the utilization pattern of trauma specialty care for children with moderate and severe injuries. Children with HMO and private insurance are cared for less often in trauma centers than those with public insurance, even after adjustment for other variables. Increased distance to a trauma center, as well as lack of trauma center within a county, also decreases trauma center utilization. These results suggest that assessing trauma center utilization patterns in total populations of children may identify opportunities for improved referral policies and practices as part of a larger effort to ensure high-quality trauma care for all children in need.