Journal article
Developing a Pain Intensity Measure for Persons with Dementia: Initial Construction and Testing
Pain medicine (Malden, Mass.), Vol.20(6), pp.1078-1092
06/01/2019
DOI: 10.1093/pm/pny180
PMCID: PMC9513703
PMID: 30285252
Abstract
The goal of this study was to identify a limited set of pain indicators that were most predicive of physical pain. We began with 140 items culled from existing pain observation tools and used a modified Delphi approach followed by statistical analyses to reduce the item pool.
Through the Delphi Method, we created a candidate item set of behavioral indicators. Next, trained staff observed nursing home residents and rated the items on scales of behavior intensity and frequency. We evaluated associations among the items and expert clinicians' assessment of pain intensity.
Four government-owned nursing homes and 12 community nursing homes in Alabama and Southeastern Pennsylvania.
Ninety-five residents (mean age = 84.9 years) with moderate to severe cognitive impairment.
Using the least absolute shrinkage and selection operator model, we identified seven items that best predicted clinicians' evaluations of pain intensity. These items were rigid/stiff body or body parts, bracing, complaining, expressive eyes, grimacing, frowning, and sighing. We also found that a model based on ratings of frequency of behaviors did not have better predictive ability than a model based on ratings of intensity of behaviors.
We used two complementary approaches-expert opinion and statistical analysis-to reduce a large pool of behavioral indicators to a parsimonious set of items to predict pain intensity in persons with dementia. Future studies are needed to examine the psychometric properties of this scale, which is called the Pain Intensity Measure for Persons with Dementia.
Details
- Title: Subtitle
- Developing a Pain Intensity Measure for Persons with Dementia: Initial Construction and Testing
- Creators
- Mary Ersek - University of PennsylvaniaKeela Herr - University of IowaMichelle M Hilgeman - University of AlabamaMoni Blazej Neradilek - The Mountain-Whisper-Light Statistics, Seattle, Washington.Nayak Polissar - The Mountain-Whisper-Light Statistics, Seattle, Washington.Karon F Cook - Northwestern UniversityPrincess Nash - Tuscaloosa VA Medical CenterA Lynn Snow - University of AlabamaMeghan McDarby - Washington University in St. LouisFrancis X Nelson - Philadelphia VA Medical Center
- Resource Type
- Journal article
- Publication Details
- Pain medicine (Malden, Mass.), Vol.20(6), pp.1078-1092
- DOI
- 10.1093/pm/pny180
- PMID
- 30285252
- PMCID
- PMC9513703
- NLM abbreviation
- Pain Med
- ISSN
- 1526-2375
- eISSN
- 1526-4637
- Grant note
- I01 HX000507 / HSRD VA IK2 RX001824 / RRD VA
- Comment
- Test Development: Pain Intensity Measure for Persons with Dementia (PIMD)
- Language
- English
- Date published
- 06/01/2019
- Academic Unit
- Nursing
- Record Identifier
- 9984370649902771
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