Search PubMed⌕ Search

Biomedical subjects

M W Pozen

Publications and source records attributed to M W Pozen.

25 records · Page 2Linked to original sources

Effectiveness of educational and administrative interventions in medical outpatient clinics.

This study examines the popular belief that increased educational supervision and increased administrative support in university outpatient clinics will improve physician performance, which in turn will improve the process and outcome of patient care. Positive effects on house officers' attitudes and better functioning of clinics with respect to follow-up, information retrieval, and prescribing practices were demonstrated. However, no differences in the process and outcome of care were identified by faculty judges using implicit criteria.

Aftercare↗

The logistic function as an aid in the detection of acute coronary disease in emergency patients (a case study).

We empirically developed a logistic function to predict acute coronary heart disease (ACHD) and then tested it to determine its usefulness to emergency room physicians in diagnosis and admission of patients with suspected ACHD to the coronary care unit. The function was based on nine clinical, historical and electrocardiographic variables from a set of 105 variables collected on 643 patients with suspected ACHD. In the second phase of the study, we provide the probabilities generated by the function to emergency room physicians during alternate months as a supplement to existing diagnostic modalities. Use of the probability of ACHD (401 patients with probabilities versus 455 patients without probabilities) resulted in statistically significant improvement in diagnostic rates and reduction in the number of inappropriate admissions to the coronary care unit.

Acute Disease↗

An aid for diagnosing acute ischemic heart disease in the emergency room.

A five-year study was undertaken to develop a valid mathematical model that could aid in diagnosing acute ischemic heart disease in the emergency room, thus reducing inappropriate admissions to the coronary care unit. The study was divided into two substudies. In the first, variables significantly predictive of ischemic heart disease were identified and a logistic function was developed and tested. In the second, a six-hospital study, the variables of the first substudy were validated and a final logistic regression was developed and tested prospectively. This model's availability proved to be successful in improving diagnostic accuracy and specificity and in reducing false positive predictive rates and admissions to coronary care units.

Boston↗