Lynn E. McCamant

The validity of Medicaid pharmacy claims for estimating drug use among elderly nursing home residents : The Oregon experience

This study compared computerized Medicaid pharmacy claims data for nursing home residents with chart data to establish how well the claims data identified those receiving drugs within three different psychoactive drug classes (yes/no for each class) and how well the claims estimated total within-class average daily dose. Percent agreement, positive predictive value (PPV), and negative predictive value (NPV) for drug exposure were over 85% for each class. Kappas were excellent for antipsychotics and antidepressants, and good for anxiolytics. Correspondence was lower for average daily dose. Using an algorithm that credits some but not all doses associated with overlapping claims, correlations ranged from 0.97 to 0.66. Agreement on therapeutic dose was excellent for antipsychotics (kappa = 0.81) and fair to good for antidepressants and anxiolytics (kappa = 0.63, and kappa = 0.52, respectively). The findings suggest that Medicaid pharmacy claims data are reasonably accurate for quality assurance and accreditation purposes.

Methodologic issues in the analysis of lung function data

The forced expiratory volume in one second (FEV1) is routinely used in epidemiologic studies of lung function to assess the presence and severity of obstructive airways disease. Normative prediction equations developed using data from healthy, asymptomatic individuals may then be used both in a clinical setting and to adjust comparisons among risk subgroups for known demographic differences. Unfortunately no concensus has yet developed as to how best to model lung function data. This paper addresses this issue in a systematic manner using data derived from two cohorts followed over a period of 9-11 years. We compare a variety of cross-sectional and longitudinal models for FEV1, show how they may be expressed as members of a larger class of general linear models, and discuss goodness-of-fit procedures for comparing them. We found little objective evidence for discriminating among these models; only those fit to FEV1/ht3 performed poorly. We argue on subjective grounds for the use of models based on FEV1 as a function of age, height and their interactions.

Outcomes for medicaid clients with substance abuse problems before and after managed care

Medicaid conversion from fee for service to managed care raised numerous questions about outcomes for substance abuse treatment clients. For example, managed care criticisms include concerns that clients will be undertreated (with too short and/or insufficiently intense services). Also of interest are potential variations in outcome for clients served by organizations with assorted financial arrangements such as for-profit status versus not-for-profit status. In addition, little information is available about the impact of state Medicaid managed care policies (including client eligibility) on treatment outcomes. Subjects of this project were Medicaid clients aged 18–64 years enrolled in the Oregon Health Plan during 1994 (before substance abuse treatment managed care, N=1751) or 1996–1997 (after managed care, N=14,813), who were admitted to outpatient non-methadone chemical dependency treatment services. Outcome measures were retention in treatment for 90 days or more, completion of a treatment program, abstinence at discharge, and readmission to treatment. With the exception of readmission, there were no notable differences in outcomes between the fee for service era clients versus those in capitated chemical dependency treatment. There were at most minor differences among various managed care systems (such as for-profit vs not-for-profit). However, duration of Medicaid eligibility was a powerful predictor of positive outcomes. Medicaid managed care does not appear to have had an adverse impact on outcomes for clients with substance abuse problems. On the other hand, state policies influencing Medicaid enrollment may have substantial impact on chemical dependency treatment outcomes.

Varieties of Centralized Intake: The Portland Target Cities Project Experience

Abstract To assess the possible influence of centralized intake on client outcomes, initial, six- and twelve-month Addiction Severity Index composite scores (in the alcohol, drug, legal and psychiatric areas) for clients who experienced provider intake were compared with scores for those going through two different models of centralized intake. Centralized intake clients were more likely than provider intake clients to have legal problems, and those legal problems became fewer over time. Clients from in-jail intake, including pretreatment services and accompanied placement, showed a greater initial and lower subsequent prevalence of drug, psychiatric and legal problems than the clients of the freestanding centralized intake. For all clients, psychiatric composite scores were powerful predictors of problems in alcohol, drug medical and legal areas, and psychiatric symptoms decreased over time. Since baseline differences in demographics and service assignment existed among the three groups, it was difficult to identify whether the outcome differences were due to the nature of the participants, the nature of the intake intervention, or both. However, the Portland Target Cities Projectss emphasis on in-jail centralized intake was associated with enhanced client outcomes.

Changes in Antipsychotic Drug Use Following Shifts in Policy: A Multilevel Analysis

This case study of antipsychotic drug use in nursing homes illustrates the potential benefits and limits of multilevel hierarchical linear analysis in long-term care research. Multilevel (MLn) logistic regression models were used to assess changes in exposure and average daily dose and their associations with resident and facility characteristics following implementation of the 1987 Omnibus Budget Reconciliation Act regulations. Data were obtained for 8,158 elderly Oregon Medicaid residents residing in 128 facilities between July 1991 and December 1994. Findings support the general hypothesis that resident characteristics are the main determinants of drug use and that drug use decreased over time among some resident populations and some facility types. Although challenges were encountered in the use of the MLn software, hierarchical modeling has advantages that make it attractive for long-term care multilevel applications such as the drug use study reported here.

Pulmonary health risks among northwest loggers

Spirometry, respiratory symptom questionnaires, and chest radiographs were obtained from 688 loggers in Oregon and Washington. These were compared against previously published National Institute for Occupational Safety and Health studies of nonexposed blue-collar workers to determine if these predictions fit our population. The loggers forced expiratory volume in 1 second and forced vital capacity values were significantly greater than predicted, and their forced expiratory volume in 1 second/forced vital capacity values were less than predicted. The only consistent difference in symptoms between the sample and reference populations was for recent chest illnesses, which were more prevalent in the loggers than in the reference population. The chest radiographs showed a small excess of pleural thickening that we believe is most likely due to chest trauma. We conclude that the National Institute for Occupational Safety and Health studies spirometry prediction equations may not be generalized to other blue-collar populations.