OBJECTIVES: To determine the prevalence of analgesics used, their prescribing patterns, and associations with particular diagnoses and medications in patients with persistent pain. DESIGN: Cross-sectional study. SETTING: Nursing homes from 10 U.S. states. PARTICIPANTS: A total of 21,380 nursing home residents aged 65 and older with persistent pain. MEASUREMENTS: Minimum Data Set (MDS) assessments on pain, analgesics, cognitive, functional, and emotional status were summarized. Logistic regression models identified diagnoses associated with different analgesic classes. RESULTS: Persistent pain as determined using the MDS was identified in 49% of residents with an average age of 83; 83% were female. Persistent pain was prevalent in patients with a history of fractures (62.9%) or surgery (63.6%) in the past 6 months. One-quarter received no analgesics. The most common analgesics were acetaminophen (37.2%), propoxyphene (18.2%), hydrocodone (6.8%), and tramadol (5.4%). Only 46.9% of all analgesics were given as standing doses. Acetaminophen was usually prescribed as needed (65.6%), at doses less than 1,300 mg per day. Nonsteroidal antiinflammatory drugs (NSAIDs) were prescribed as a standing dose more than 70% of the time, and one-third of NSAIDs were prescribed at high doses. CONCLUSION: In nursing home residents, persistent pain is highly prevalent, there is suboptimal compliance with geriatric prescribing recommendations, and acute pain may be an important contributing source of persistent pain. More effective provider education and research is needed to determine whether treatment of acute pain could prevent persistent pain.
OBJECTIVES: To determine the prevalence of analgesics used, their prescribing patterns, and associations with particular diagnoses and medications in patients with persistent pain. DESIGN: Cross-sectional study. SETTING: Nursing homes from 10 U.S. states. PARTICIPANTS: A total of 21,380 nursing home residents aged 65 and older with persistent pain. MEASUREMENTS: Minimum Data Set (MDS) assessments on pain, analgesics, cognitive, functional, and emotional status were summarized. Logistic regression models identified diagnoses associated with different analgesic classes. RESULTS: Persistent pain as determined using the MDS was identified in 49% of residents with an average age of 83; 83% were female. Persistent pain was prevalent in patients with a history of fractures (62.9%) or surgery (63.6%) in the past 6 months. One-quarter received no analgesics. The most common analgesics were acetaminophen (37.2%), propoxyphene (18.2%), hydrocodone (6.8%), and tramadol (5.4%). Only 46.9% of all analgesics were given as standing doses. Acetaminophen was usually prescribed as needed (65.6%), at doses less than 1,300 mg per day. Nonsteroidal antiinflammatory drugs (NSAIDs) were prescribed as a standing dose more than 70% of the time, and one-third of NSAIDs were prescribed at high doses. CONCLUSION: In nursing home residents, persistent pain is highly prevalent, there is suboptimal compliance with geriatric prescribing recommendations, and acute pain may be an important contributing source of persistent pain. More effective provider education and research is needed to determine whether treatment of acute pain could prevent persistent pain.
Authors: Maria Papaleontiou; Charles R Henderson; Barbara J Turner; Alison A Moore; Yelena Olkhovskaya; Leslie Amanfo; M Carrington Reid Journal: J Am Geriatr Soc Date: 2010-06-01 Impact factor: 5.562
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Authors: M Cary Reid; David A Bennett; Wen G Chen; Basil A Eldadah; John T Farrar; Bruce Ferrell; Rollin M Gallagher; Joseph T Hanlon; Keela Herr; Susan D Horn; Charles E Inturrisi; Salma Lemtouni; Yu Woody Lin; Kaleb Michaud; R Sean Morrison; Tuhina Neogi; Linda L Porter; Daniel H Solomon; Michael Von Korff; Karen Weiss; James Witter; Kevin L Zacharoff Journal: Pain Med Date: 2011-08-11 Impact factor: 3.750
Authors: Andrew J McLachlan; Sally Bath; Vasi Naganathan; Sarah N Hilmer; David G Le Couteur; Stephen J Gibson; Fiona M Blyth Journal: Br J Clin Pharmacol Date: 2011-03 Impact factor: 4.335