The goal of this study was to identify variables associated with length of stay (LOS) and to incorporate into the authors' routine preadmission assessment the measurement of these variables. A retrospective study of 80 discharged patients explored the association of 25 variables reflecting a mixture of patient/demographic variables, illness variables, and treatment variables with LOS. Multivariate analysis revealed that 10 variables independently accounted for 62% of the variance in LOS. The information used was obtained primarily in the preadmission screening. The predictive power of the variables shrank in the prospective study. However, fewer individual variables were significantly associated with LOS; the summed score of the variables predicted 17% of the LOS variance. Results indicated that factors important for estimating LOS are available at the time of admission, and these variables can be systematically assessed and incorporated into clinical decision making.
Increasingly, hospitals are expected to monitor and document service delivery variables, such as treatment outcome and patient satisfaction with care, which are thought to be associated with the quality of care received by patients. Documenting the patient's collaboration in the treatment-planning process also has become more important. However, for many clinically oriented units, translating these expectations into a useable instrument and an efficient measurement procedure is a complex and difficult task. This paper outlines the development of a brief multi-faceted program evaluation instrument and assessment process for completing these tasks. The authors describe the rationale behind their approach to these measurement issues, and they introduce an instrument capable of effectively measuring both outcome and satisfaction. They also provide an overview of how they apply the instrument in their inpatient psychiatry service. The strengths and weakness of this assessment strategy are reviewed.
Look beyond the stereotype. Any hospitalized patient could be dependent on alcohol-and at risk for alcohol withdrawal syndrome.
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