Using the Minimum Data Set to Select Nursing Home Residents for Interview About Pain

Objectives: To determine how many nursing home residents can provide stable responses to a simple pain interview and whether a Minimum Data Set (MDS) cognitive performance measure can be used to identify these residents. Design: Cross‐sectional descriptive study. Setting: Thirty‐three community‐base...

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Bibliographic Details
Published in:Journal of the American Geriatrics Society (JAGS) 2004-12, Vol.52 (12), p.2057-2061
Main Authors: Chu, Lily, Schnelle, John F., Cadogan, Mary P., Simmons, Sandra F.
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
Analysis of Variance
Assessment
Biological and medical sciences
California
Cognition & reasoning
Cognition Disorders - diagnosis
cognitive impairment
Cognitive performance
Cross-Sectional Studies
Elderly people
Female
General aspects
Homes for the Aged
Humans
Interview, Psychological
Interviews
Male
Medical sciences
Minimum Data Set
Minimum data sets
nursing home
Nursing Homes
Observer Variation
Pain
pain assessment
Pain Measurement
Patient Selection
Reliability
Reproducibility of Results
Selection criteria
USA
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Summary:Objectives: To determine how many nursing home residents can provide stable responses to a simple pain interview and whether a Minimum Data Set (MDS) cognitive performance measure can be used to identify these residents. Design: Cross‐sectional descriptive study. Setting: Thirty‐three community‐based nursing homes. Participants: Eight hundred ninety‐five nursing home residents. Measurements: Resident completion rate, stability, and interrater reliability of a four‐item interview derived from the Geriatric Pain Measure were calculated. Demographic data and MDS items concerning pain and memory were obtained from medical records. Results: Overall, 835 residents were able to answer all four interview questions. At the lowest MDS recall score of 0, 52.7% of residents were able to complete all questions. All residents able to respond to the interview achieved high stability (kappa=0.633, P
ISSN:0002-8614
1532-5415
DOI:10.1111/j.1532-5415.2004.52565.x