TOWARD A PREDICTIVE MODEL FOR NURSING CARE NEEDS OF DO-NOT-RESUSCITATE PATIENTS IN INTENSIVE CARE.
Contributors: University of Florida.
Published: 1988
Number of pages: 212
Subjects: Health Sciences, Nursing.
Description: The first phase of this study investigated the differences in selected variables between patients with do-not-resuscitate (DNR) orders and non-DNR patients in intensive care. The second phase developed models for predicting DNR status and nursing care needs of DNR patients in intensive care. Patients in intensive care with DNR orders were compared with non-DNR patients in intensive care in relation to (a) nursing care requirements, (b) severity of illness, (c) resource allocation, and (d) sociodemographic and physiologic characteristics.

The sample consisted of 62 DNR and 62 non-DNR subjects from intensive care units in three community hospitals in a large southeastern city. Data were collected until subjects recovered and were transferred from the unit or until death occurred. Data were analyzed by t-tests, chi-square tests for homogeneity, analysis of covariance, multiple regression, and logistic regression.

Nursing care requirements, severity of illness, resource allocation, and sociodemographic and physiologic characteristics were compared between the two groups. Subjects with DNR orders received more nursing care than non-DNR subjects in intensive care ($p$ $<$.001). Subjects with DNR orders had higher levels of severity of illness on admission and on the average ($p$ $<$.001). At lower levels of severity of illness, DNR subjects used more resources than non-DNR subjects. Subjects with DNR orders used more resources after the DNR classification than before ($p$ $<$.001). Subjects with DNR orders were white ($p$ =.015), older ($p$ =.03), more likely to reside in nursing homes ($p$ =.04), had longer intensive care stays ($p$ =.0005), were more likely to be admitted from another nursing unit ($p$ $<$.001), and had higher mortality rates ($p$ $<$.001).

One model identified the best predictors of a DNR classification in intensive care as origin of admission and severity of illness score on the day of admission. The second model identified the best predictors of nursing care requirements for DNR subjects in intensive care as number of days spent in intensive care prior to the DNR order, average daily resource allocation points after the DNR order, and severity of illness score on the day the DNR order was designated.
Notes: Source: Dissertation Abstracts International, Volume: 50-07, Section: B, page: 2851.

Thesis (PH.D.)--UNIVERSITY OF FLORIDA, 1988.

School code: 0070.