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Pain-Associated Clusters Among Nursing Home Residents

Chronic pain is common in older adults, particularly among nursing home residents (NHR). Internationally, the reported pain prevalence among NHR ranges from 3.7% to 79.5%. At least one in two German NHR are diagnosed with pain. Unrelieved chronic pain is associated with reduced physical functioning...

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Autores principales: Budnick, Andrea, Kreutz, Reinhold, Kuhlmey, Adelheid, Dräger, Dagmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740410/
http://dx.doi.org/10.1093/geroni/igaa057.660
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author Budnick, Andrea
Kreutz, Reinhold
Kuhlmey, Adelheid
Dräger, Dagmar
author_facet Budnick, Andrea
Kreutz, Reinhold
Kuhlmey, Adelheid
Dräger, Dagmar
author_sort Budnick, Andrea
collection PubMed
description Chronic pain is common in older adults, particularly among nursing home residents (NHR). Internationally, the reported pain prevalence among NHR ranges from 3.7% to 79.5%. At least one in two German NHR are diagnosed with pain. Unrelieved chronic pain is associated with reduced physical functioning and psychological parameters. Given the high prevalence of pain among NHR, we hypothesized that there were likely pain-associated clusters in our target group. Clustering is an opportunity to identify differences in pain management and may enable better targeted health-service delivery for professionals. There are no available data regarding pain-associated clusters (sub-groups of NHR) based on different items measuring pain. This study was performed using baseline data, and was part of a cluster-randomized controlled trial conducted in 12 nursing homes in Berlin. We assessed pain using the German Brief Pain Inventory (BPI-NHR) among 137 NHR (mean age, 83.33 years) capable of self-report. We performed hierarchical agglomerative cluster analysis to generate three clusters (naming is based on the mean value of each BPI-NHR item in each cluster): pain-relieved (46.72 %), pain-restricted (22.63 %), and severe pain (30.66 %). Body-Mass-Index (F(2,129) = 4.274, P = 0.016), Barthel-Index (F(2,133) = 3.246, P = 0.042), and appropriateness of pain medication (F(2,119) = 12.007, P = 0.000) differed between clusters. Parameters associated with an increased or decreased risk of being in a pain-diagnosed cluster will be discussed. The observed need for clinical interventions aiming at shifting from pain-diagnosed clusters to pain-relieved status will be reflected.
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spelling pubmed-77404102020-12-21 Pain-Associated Clusters Among Nursing Home Residents Budnick, Andrea Kreutz, Reinhold Kuhlmey, Adelheid Dräger, Dagmar Innov Aging Abstracts Chronic pain is common in older adults, particularly among nursing home residents (NHR). Internationally, the reported pain prevalence among NHR ranges from 3.7% to 79.5%. At least one in two German NHR are diagnosed with pain. Unrelieved chronic pain is associated with reduced physical functioning and psychological parameters. Given the high prevalence of pain among NHR, we hypothesized that there were likely pain-associated clusters in our target group. Clustering is an opportunity to identify differences in pain management and may enable better targeted health-service delivery for professionals. There are no available data regarding pain-associated clusters (sub-groups of NHR) based on different items measuring pain. This study was performed using baseline data, and was part of a cluster-randomized controlled trial conducted in 12 nursing homes in Berlin. We assessed pain using the German Brief Pain Inventory (BPI-NHR) among 137 NHR (mean age, 83.33 years) capable of self-report. We performed hierarchical agglomerative cluster analysis to generate three clusters (naming is based on the mean value of each BPI-NHR item in each cluster): pain-relieved (46.72 %), pain-restricted (22.63 %), and severe pain (30.66 %). Body-Mass-Index (F(2,129) = 4.274, P = 0.016), Barthel-Index (F(2,133) = 3.246, P = 0.042), and appropriateness of pain medication (F(2,119) = 12.007, P = 0.000) differed between clusters. Parameters associated with an increased or decreased risk of being in a pain-diagnosed cluster will be discussed. The observed need for clinical interventions aiming at shifting from pain-diagnosed clusters to pain-relieved status will be reflected. Oxford University Press 2020-12-16 /pmc/articles/PMC7740410/ http://dx.doi.org/10.1093/geroni/igaa057.660 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Budnick, Andrea
Kreutz, Reinhold
Kuhlmey, Adelheid
Dräger, Dagmar
Pain-Associated Clusters Among Nursing Home Residents
title Pain-Associated Clusters Among Nursing Home Residents
title_full Pain-Associated Clusters Among Nursing Home Residents
title_fullStr Pain-Associated Clusters Among Nursing Home Residents
title_full_unstemmed Pain-Associated Clusters Among Nursing Home Residents
title_short Pain-Associated Clusters Among Nursing Home Residents
title_sort pain-associated clusters among nursing home residents
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740410/
http://dx.doi.org/10.1093/geroni/igaa057.660
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