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Administrative Claims (administrative + claim)

Distribution by Scientific Domains

Medical Sciences	100%

Terms modified by Administrative Claims

administrative claim data

Selected Abstracts

Application of Regression-Discontinuity Analysis in Pharmaceutical Health Services Research

HEALTH SERVICES RESEARCH, Issue 2 2006
Ilene H. Zuckerman
Objective. To demonstrate how a relatively underused design, regression-discontinuity (RD), can provide robust estimates of intervention effects when stronger designs are impossible to implement. Data Sources/Study Setting. Administrative claims from a Mid-Atlantic state Medicaid program were used to evaluate the effectiveness of an educational drug utilization review intervention. Study Design. Quasi-experimental design. Data Collection/Extraction Methods. A drug utilization review study was conducted to evaluate a letter intervention to physicians treating Medicaid children with potentially excessive use of short-acting ,2 -agonist inhalers (SAB). The outcome measure is change in seasonally-adjusted SAB use 5 months pre- and postintervention. To determine if the intervention reduced monthly SAB utilization, results from an RD analysis are compared to findings from a pretest,posttest design using repeated-measure ANOVA. Principal Findings. Both analyses indicated that the intervention significantly reduced SAB use among the high users. Average monthly SAB use declined by 0.9 canisters per month (p<.001) according to the repeated-measure ANOVA and by 0.2 canisters per month (p<.001) from RD analysis. Conclusions. Regression-discontinuity design is a useful quasi-experimental methodology that has significant advantages in internal validity compared to other pre,post designs when assessing interventions in which subjects' assignment is based on cutoff scores for a critical variable. [source]

Accuracy of medicare claims data in identifying Parkinsonism cases: Comparison with the medicare current beneficiary survey

MOVEMENT DISORDERS, Issue 4 2007
Katia Noyes PhD
Abstract Study Purpose Administrative databases are commonly used to examine use of healthcare service, with researchers relying on diagnostic codes to identify medical conditions. This study evaluates the accuracy of administrative claims in identifying Parkinsonism cases compared to the self-reported Parkinson's disease (PD). Methods The reference cases were identified based on the self-reported PD status and the use of PD drugs collected by the 1992,2000 Medicare Current Beneficiary Survey that contained 72,922 observations from 30,469 individuals. Using ICD-9 CM, cases with PD were extracted from the corresponding Medicare claims. We compared prevalence of PD obtained using different types of claims. Results The sensitivities were the highest when all claims were used (66%). All the specificities were greater than 99%. When drug use information was included in the gold standard, the sensitivities became lower, while the specificities and positive predictive values (PPVs) increased. Using more diagnostic codes improved the sensitivity of the identification process but reduced PPVs. Conclusions Administrative claims can provide fairly accurate and practical approach to "rule in" patients with PD. Depending on the purpose of evaluation, researchers may consider using more categories of claims to improve the sensitivity of the identification algorithm or use fewer diagnoses to minimize number of false positive cases. © 2006 Movement Disorder Society [source]

The Costs of Decedents in the Medicare Program: Implications for Payments to Medicare+Choice Plans

HEALTH SERVICES RESEARCH, Issue 1 2004
Melinda Beeuwkes Buntin
Objective. To discuss and quantify the incentives that Medicare managed care plans have to avoid (through selective enrollment or disenrollment) people who are at risk for very high costs, focusing on Medicare beneficiaries in the last year of life,a group that accounts for more than one-quarter of Medicare's annual expenditures. Data Source. Medicare administrative claims for 1994 and 1995. Study Design. We calculated the payment a plan would have received under three risk-adjustment systems for each beneficiary in our 1995 sample based on his or her age, gender, county of residence, original reason for Medicare entitlement, and principal inpatient diagnoses received during any hospital stays in 1994. We compared these amounts to the actual costs incurred by those beneficiaries. We then looked for clinical categories that were predictive of costs, including costs in a beneficiary's last year of life, not accounted for by the risk adjusters. Data Extraction Methods. The analyses were conducted using claims for a 5 percent random sample of Medicare beneficiaries who died in 1995 and a matched group of survivors. Principal Findings. Medicare is currently implementing the Principal Inpatient Diagnostic Cost Groups (PIP-DCG) risk adjustment payment system to address the problem of risk selection in the Medicare+Choice program. We quantify the strong financial disincentives to enroll terminally ill beneficiaries that plans still have under this risk adjustment system. We also show that up to one-third of the selection observed between Medicare HMOs and the traditional fee-for-service system could be due to differential enrollment of decedents. A risk adjustment system that incorporated more of the available diagnostic information would attenuate this disincentive; however, plans could still use clinical information (not included in the risk adjustment scheme) to identify beneficiaries whose expected costs exceed expected payments. Conclusions. More disaggregated prospective risk adjustment methods and alternative payment systems that compensate plans for delivering care to certain classes of patients should be considered to ensure access to high-quality managed care for all beneficiaries. [source]

Qualitative Analysis of Medicare Claims in the Last 3 Years of Life: A Pilot Study

JOURNAL OF AMERICAN GERIATRICS SOCIETY, Issue 1 2005
Amber E. Barnato MD
Objectives: To study end-of-life care of a representative sample of older people using qualitative interpretation of administrative claims by clinicians and to explore whether this method yields insights into patient care, including continuity, errors, and cause of death. Design: Random, stratified sampling of decedents and all their Medicare-covered healthcare claims in the 3 years before death from a 5% sample of elderly fee-for-service beneficiaries, condensation of all claims into a chronological clinical summary, and abstraction by two independent clinicians using a standardized form. Setting: United States. Participants: One hundred Medicare fee-for-service older people without disability or end-stage renal disease entitlement who died in 1996 to 1999 and had at least 36 months of continuous Part A and Part B enrollment before death. Measurements: Qualitative narrative of the patient's medical course; clinician assessment of care continuity and apparent medical errors; cause, trajectory, and place of death. Results: The qualitative narratives developed by the independent abstracters were highly concordant. Clinicians felt that 75% of cases lacked continuity of care that could have improved the quality of life and the way the person died, and 13% of cases had a medical error identified by both abstracters. Abstracters disagreed about assignment of a single cause of death in 28% of cases, and abstracters and the computer algorithm disagreed in 43% of cases. Conclusion: Qualitative claims analysis illuminated many problems in the care of chronically ill older people at the end of life and suggested that traditional vital statistics assignation of a single cause of death may distort policy priorities. This novel approach to claims review is feasible and deserves further study. [source]

Accuracy of medicare claims data in identifying Parkinsonism cases: Comparison with the medicare current beneficiary survey

Predictive Ability of Pretransplant Comorbidities to Predict Long-Term Graft Loss and Death

AMERICAN JOURNAL OF TRANSPLANTATION, Issue 3 2009
G. Machnicki
Whether to include additional comorbidities beyond diabetes in future kidney allocation schemes is controversial. We investigated the predictive ability of multiple pretransplant comorbidities for graft and patient survival. We included first-kidney transplant deceased donor recipients if Medicare was the primary payer for at least one year pretransplant. We extracted pretransplant comorbidities from Medicare claims with the Clinical Classifications Software (CCS), Charlson and Elixhauser comorbidities and used Cox regressions for graft loss, death with function (DWF) and death. Four models were compared: (1) Organ Procurement Transplant Network (OPTN) recipient and donor factors, (2) OPTN + CCS, (3) OPTN + Charlson and (4) OPTN + Elixhauser. Patients were censored at 9 years or loss to follow-up. Predictive performance was evaluated with the c-statistic. We examined 25 270 transplants between 1995 and 2002. For graft loss, the predictive value of all models was statistically and practically similar (Model 1: 0.61 [0.60 0.62], Model 2: 0.63 [0.62 0.64], Models 3 and 4: 0.62 [0.61 0.63]). For DWF and death, performance improved to 0.70 and was slightly better with the CCS. Pretransplant comorbidities derived from administrative claims did not identify factors not collected on OPTN that had a significant impact on graft outcome predictions. This has important implications for the revisions to the kidney allocation scheme. [source]