Division of Epidemiology, Department of Population and Quantitative Health Sciences; Graduate School of Biomedical Sciences
Epidemiology | Geriatrics | Health Services Administration | Nervous System Diseases | Pain Management | Psychiatry and Psychology
BACKGROUND: Despite experimental evidence suggesting that pain sensitivity is not impaired by cognitive impairment, observational studies in nursing home residents have observed an inverse association between cognitive impairment and resident-reported or staff-assessed pain. Under the hypothesis that the inverse association may be partially attributable to differential misclassification due to recall and communication limitations, this study implemented a missing data approach to quantify the absolute magnitude of misclassification of pain, pain frequency, and pain intensity by level of cognitive impairment.
METHODS: Using the 2016 Minimum Data Set 3.0, we conducted a cross-sectional study among newly admitted US nursing home residents. Pain presence, severity, and frequency is assessed via resident-reported measures. For residents unable to communicate their pain, nursing home staff document pain based on direct resident observation and record review. We estimate a counterfactual expected level of pain in the absence of cognitive impairment by multiply imputing modified pain indicators for which the values were retained for residents with no/mild cognitive impairment and set to missing for residents with moderate/severe cognitive impairment. Absolute differences () in the presence and magnitude of pain were calculated as the difference between documented pain and the expected level of pain.
RESULTS: The difference between observed and expected resident reported pain was greater in residents with severe cognitive impairment ( = -10.2%, 95% Confidence Interval (CI): -10.9% to -9.4%) than those with moderate cognitive impairment ( = -4.5%, 95% CI: -5.4% to -3.6%). For staff-assessed pain, the magnitude of apparent underreporting was similar between residents with moderate impairment ( = -7.2%, 95% CI: -8.3% to -6.0%) and residents with severe impairment ( = -7.2%, 95% CI: -8.0% to -6.3%). Pain characterized as "mild" had the highest magnitude of apparent underreporting.
CONCLUSIONS: In residents with moderate to severe cognitive impairment, documentation of any pain was lower than expected in the absence of cognitive impairment. This finding supports the hypothesis that an inverse association between pain and cognitive impairment may be explained by differential misclassification. This study highlights the need to develop analytic and/or procedural solutions to correct for recall/reporter bias resulting from cognitive impairment.
Misclassification, Multiple imputation, Nursing homes, Pain
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DOI of Published Version
Nunes AP, Zhao D, Jesdale WM, Lapane KL. Multiple imputation to quantify misclassification in observational studies of the cognitively impaired: an application for pain assessment in nursing home residents. BMC Med Res Methodol. 2021 Jun 26;21(1):132. doi: 10.1186/s12874-021-01327-5. PMID: 34174838; PMCID: PMC8235835. Link to article on publisher's site
BMC medical research methodology
Nunes AP, Zhao D, Jesdale WM, Lapane KL. (2021). Multiple imputation to quantify misclassification in observational studies of the cognitively impaired: an application for pain assessment in nursing home residents. Population and Quantitative Health Sciences Publications. https://doi.org/10.1186/s12874-021-01327-5. Retrieved from https://escholarship.umassmed.edu/qhs_pp/1416
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.