Background-In 2009, the Centers for Medicare & Medicaid Services is publicly reporting hospital-level risk-standardized 30-day mortality and readmission rates after acute myocardial infarction (AMI) and heart failure (HF

CSHCN represent a major challenge to organized systems of care and our society. Because they represent a group of children who are particularly at risk with potential for improved health outcomes, efforts to improve quality, coordinate care, and optimize efficiency should focus on this target population.

BACKGROUND: Prescriptions that are ordered by physicians but not picked up by patients represent a potential quality improvement opportunity in health systems. Previous research has demonstrated that anywhere from as little as 0.28% to as much as 30.0% of prescriptions are unclaimed, and that 0.45% to 22.0% of patients fail to claim prescriptions. In the Military Health System (MHS), prescriptions filled at military pharmacies are dispensed with no copayment, providing an opportunity to examine the factors that contribute to unclaimed prescriptions other than out-of-pocket cost.OBJECTIVES: To estimate the prevalence of unclaimed prescriptions in the MHS, investigate reasons for unclaimed prescriptions, and compare self-reported noncompliance, defined as the failure to pick up at least 1 prescription in a 12-month period, with evidence from an administrative database of prescription orders and dispensings.METHODS: Research methods included pharmacy staff interviews at 6 military pharmacies, a telephone survey of beneficiaries who filled prescriptions at these pharmacies, descriptive analysis of survey data, and comparison of administrative pharmacy data with self-reported survey data. Beneficiary interviews, conducted from May through July 2004, covered background characteristics, medical conditions, and unclaimed prescriptions, relying on 12 months of recall regarding noncompliance. Interviews with pharmacy staff covered day-to-day operations, factors that alleviate or exacerbate noncompliance, and the burden that noncompliance places on pharmacies. Administrative data from the Pharmacy Data Transaction Service (pharmacy claims) and Composite Health Care System (CHCS: prescription orders and dispensings) databases were used to select a random sample for the beneficiary survey. Survey respondents' CHCS data were matched to their responses to determine the degree of agreement between self-reports and administrative data.RESULTS: Pharmacy interviews were completed with 30 staff members at 6 military pharmacies, and telephone interviews were completed with 1,214 beneficiaries (60.6% response rate). Beneficiary respondents filled an average of 7 prescriptions in the 5 months approximately surrounding the survey administration time frame (from March to July 2004). More than half (56.8%) of respondents were female, and nearly 60.6% were retired military or their dependents. Among all respondents at all study pharmacies, 8.0% reported failing to claim at least 1 prescription during the prior 12 months. Among survey respondents deemed compliant by CHCS data, 93.8% correctly identified themselves as compliant. However, among patients identified as noncompliant using CHCS data, only 16.0% selfidentified as noncompliant. The administrative data were not concordant with self-report data: of 105 survey respondents identifying themselves as noncompliant in the prior year and matched to administrative data (CHCS), only 58.1% were noncompliant per administrative data, and of 1,065 selfidentifying as compliant, only 61.1%...

No abstract

We use data from the 2012-2015 TRICARE Standard Survey to examine factors that affect civilian health care providers’ acceptance of patients covered by the U.S. Department of Defense’s TRICARE insurance program and Medicare. We find that 74% of physicians report that they accept new TRICARE patients compared with 83% accepting new Medicare patients; in contrast, only 36% of mental health providers report that they accept new Medicare and/or TRICARE patients. Among the most common reasons provided by both physicians and mental health providers for not accepting either insurance type are insufficient reimbursement or their specialty not being covered; lack of awareness of TRICARE is also frequently cited, particularly among mental health providers. These findings suggest that successful strategies to increase provider acceptance of TRICARE and Medicare may include improving reimbursement rates and specialty coverage and increasing provider awareness of TRICARE through outreach programs.

The National Quality Management Program of the Military Health Services System of the United States has undertaken a series of projects whose objective is the active, on-going monitoring and improvement of the effectiveness and efficiency of the care provided to a broad population that encompasses troops on active duty, retirees and dependents. The analytic activities consist of (1) identification by clinical panels of conditions and procedures of interest; (2) collection of data from electronic repositories and from charts to characterize the patients, how they are managed, the clinical outcomes they experience, the resource costs their care entails, and, from questionnaires, their functional status and level of satisfaction, and (3) generation of 'report cards' that inform organizational units down to the level of the hospital of the characteristics of their patients, their practices, and the risk-adjusted outcomes they achieve. The patterns of care employed by the hospitals that obtain the best risk-adjusted outcomes and resource utilization ('best clinical practice') are identified and made known. In addition, (4) a systematic process of developing outcomes-based practice guidelines has been devised. It intent is to serve as a decision-support tool for clinicians. Initial estimates have been obtained of the probable consequences of the application of this tool to operative interventions in childbirth. Use of the tool would result in a higher occurrence of elective Caesarean sections, a reduced rate of emergency Caesarean sections and much lower use of forceps, with an overall improvement in outcomes and lower resource costs. This program is currently in the early phases of implementation. The two principal requirements for the immediate future are (1) education of the clinical and administrative communities in the use of the data and the decision-support tools and (2) evaluation of the consequences of the use of the data by the clinical and administrative communities.

The Life Quality Index (LQI) is a rational way to establish a relationship among the resources utilized to improve human safety and the expected fatalities that can be avoided by safety improvement. This article uses the LQI approach to quantify the social benefits of a number of safety management plans for a railway facility such as level crossing (LC). We apply influence diagrams (IDs), which are the extensions of Bayesian Networks, to model and assess the life safety risks. In IDs, problems of probabilistic inference, economics-based utility values, and decision alternatives are combined and optimized. The optimal decision, which maximizes total benefits to society, is obtained for the LC. As low as reasonably practicable (ALARP) case, and is a widely accepted risk acceptance criteria in the railway industry. According to the ALARP, there exists a so-called tolerable region between the regions of intolerable and negligible risks. In the tolerable region, risk is undertaken only if a benefit is desired. To quantify socioeconomic benefits, one needs to have an additional risk acceptance criterion such as LQI. In this article we apply and discuss the advantages of the LQI and the IDs for a number of safety management plans for railway LCs.

No abstract