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Biomedical subjects

M Hornbrook

Publications and source records attributed to M Hornbrook.

7 recordsLinked to original sources

A randomized trial of a group cognitive intervention for preventing depression in adolescent offspring of depressed parents.

BACKGROUND: Adolescent offspring of depressed parents are at high risk for development of depression. Cognitive restructuring therapy holds promise for preventing progression to depressive episodes. METHODS: A randomized, controlled trial was conducted to prevent depressive episodes in at-risk offspring (aged 13-18 years) of adults treated for depression in a health maintenance organization (HMO). Potential adult cases were found by reviewing the HMO pharmacy records for dispensation of antidepressant medication and the mental health appointment system. Medical charts were reviewed for a depression diagnosis. Recruitment letters signed by treating physicians were mailed to adults. Eligible offspring had subdiagnostic depressive symptoms insufficient to meet full DSM-III-R criteria for affective disorder and/or a past mood disorder. These youth were randomized to usual HMO care (n = 49) or usual care plus a 15-session group cognitive therapy prevention program (n = 45). RESULTS: We detected significant treatment-by-time (program) effects for the Center for Epidemiological Studies Depression Scale (P=.005) and the Global Assessment of Functioning scores (P =.04). Survival analysis of incident major depressive episodes during a median 15-month follow-up found a significant advantage (P =.003) for the experimental condition (9.3% cumulative major depression incidence) compared with the usual-care control condition (28.8%). CONCLUSION: A brief, group cognitive therapy prevention program can reduce the risk for depression in the adolescent offspring of parents with a history of depression.

Adolescent↗

Methods for analyzing health care utilization and costs.

Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.

Data Interpretation, Statistical↗

Behavior of the multiproduct firm. A model of the nonprofit hospital system.

This article presents a hospital model that recognizes the multiproduct nature of hospital output and incorporates trade-offs among various competing goals. A utility function for the hospital is defined over quantity, quality and the net revenues associated with the treatments produced. Utility is constrained by epidemiological factors and by availability of beds. The model is used to draw comparative statics implications, from which econometric hypotheses are developed and tested. This is accomplished by a set of equations that predict variations in patient-specific lengths of stay, admissions, expenses per admission, and occupancy rates. Empirical results are generally consistent with predictions. The model has a variety of policy applications, and these are illustrated.

Bed Occupancy↗