The purpose of this study was (1) To develop strategies that can be used to identify pain in elderly nursing home residents; (2) to explore a pain assessment model that includes age, cognition, communication, depression, function, and pain; (3) to understand the distribution of pain among groups defined by age, gender, cognition, communication, depression, function and pain; (4) to predict pain based on measurements of variables in the model; (5) to evaluate the usefulness of functional status as a predictor for pain. The design was descriptive and correlational. The setting was a 200 bed nursing home in western Massachusetts. Subjects were 111 nursing home residents (mean age 78), who were Caucasian, and predominantly female (77.5%). They were impaired in cognition (54%), communication (61%), and function (82%). They experienced moderate to severe depression (28%) and moderate to severe pain (42%). The instrument was the Minimum Data for Nursing Home Resident Assessment and Care Screening (MDS 2.0).
| Identifer | oai:union.ndltd.org:UMASS/oai:scholarworks.umass.edu:dissertations-3260 |
| Date | 01 January 1999 |
| Creators | Kenefick, Amy Laufer |
| Publisher | ScholarWorks@UMass Amherst |
| Source Sets | University of Massachusetts, Amherst |
| Language | English |
| Detected Language | English |
| Type | text |
| Source | Doctoral Dissertations Available from Proquest |
Page generated in 0.0021 seconds