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L G Worthman

Publications and source records attributed to L G Worthman.

4 recordsLinked to original sources

The use of an ROC curve to express quality of care results.

When a quality of care method which results in a continuous score is viewed as a screening device, it is possible to evaluate the efficiency and effectiveness of the score using assessment techniques usually applied to screening tests for disease. Using an independent standard (such as patient outcome) for determining which records truly represent inadequate medical care, for any quality score cutoff we can calculate the sensitivity and the specificity of the screening device for identifying inadequate care. An ROC curve allows the user of a screening test to select a threshold that takes into account both the estimated prevalence of inadequate care at the site and the relative importance placed on false positive and false negative errors. We used an ROC curve to examine the performance of criteria mapping, a chart review system. The criteria map method was employed to evaluate the disposition decision for 421 patients who came to 2 emergency departments with complaints of chest pain. The shape of the ROC curve generated from these data allows the user to evaluate the effect of choosing various cutpoints, acknowledging explicitly the tradeoffs between failure to review cases of inappropriate disposition and needless review of appropriate disposition.

Emergency Service, Hospital↗

Comparison of a criteria map to a criteria list in quality-of-care assessment for patients with chest pain: the relation of each to outcome.

In a prospective study we compared the ability of two quality assessment methods--the standard criteria list and the criteria map--to predict the appropriateness of the disposition decision for 421 patients with chest pain who presented to two emergency departments. To evaluate the quality of this decision, each patient was followed at home or in the hospital to determine whether an acute condition requiring hospital admission was present. Among the 169 discharged patients, the map scores of the eight with admissible disease were significantly higher than the score for those without admissible disease (p = 0.02). For the 252 admitted patients, a similar relationship between map score and the admissible disease outcome was observed (p = 0.0001). There was no significant relationship between list score and outcome among either the admitted or the discharged patients. Multivariate logistic analyses confirmed the importance of the map score as a predictor of admissible disease. The map score was superior to the list score and to demographic variables in its ability to correctly classify patients with and without admissible disease. The demonstrated relationship between map score and patient outcome enables the map to be used in a quality assurance system. An institution can ensure that physicians review an enriched sample of the inappropriate discharges and the unjustified admissions by selecting admitted patients with low map scores and discharged patients with high map scores.

Adult↗