Prevalence of Cognitively Intact Individuals Residing in Extended Care Nursing Facilities

2002 
There appears to be a relative absence of studies that have examined the prevalence of cognitively intact individuals who reside in extended care facilities. Prevalence data were collected on 296 persons who resided in 3 extended care nursing facilities in Central Virginia. Cognitive intactness was evaluated via the Minimum Data Set Cognitive Performance Scale (CPS) and an author-generated survey (i.e., Cognitively Intact Survey [CI Survey]) of select nursing staff members at each facility. The Mini-Mental State Examination (MMSE) was utilized to examine the accuracy of the two measures in identifying cognitive intactness. Findings indicated that prevalence rates of cognitively intact residents varied as a function of the measures utilized to assess intactness. Specifically, a significantly greater proportion of the total sample of residents was judged to be cognitively intact via the CI Survey (34.12%) as compared to the CPS (26.01%). The level of interjudge agreement between the two measures was found to be moderately high (K = 0.68). When the MMSE was employed to verify individuals' levels of intactness, the percentages of residents predicted to actually be cognitively intact were somewhat lower for each measure. Specifically, based on the data obtained via the CI Survey, 22.75% of the total sample were predicted to actually be cognitively intact, whereas 17.85% of the sample were predicted to be intact based on the CPS results. Findings are discussed in light of factors that may have contributed to the differential prevalence rates of cognitively intact individuals obtained across the measures utilized in this study. Concerns regarding the utilization of the MMSE as a criterion measure of cognitive intactness in persons residing in extended care nursing facilities are provided, along with data on the living environments/roommate statuses of those residents judged to be intact via the CI Survey. Implications for the design of future extended care nursing units, as well as future research, are also included.
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