Geographic Variation in the Initiation of Commonly Used Opioids and Dosage Strength in United States Nursing Homes
OBJECTIVES:To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents. METHODS:We merged 2011 Minimum Data Set 3.0 to Medicare claims and facility characteristics data to conduct a cross-sectional study...
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Published in: | Medical care Vol. 56; no. 10; pp. 847 - 854 |
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01-10-2018
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Abstract | OBJECTIVES:To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents.
METHODS:We merged 2011 Minimum Data Set 3.0 to Medicare claims and facility characteristics data to conduct a cross-sectional study among long-stay nursing home residents who initiated short-acting opioids commonly used in nursing homes (oxycodone, hydrocodone, or tramadol). We examined geographic variation in specific opioids initiated and potentially inappropriate doses (≥50 mg oral morphine equivalent/d) across hospital referral regions (HRRs). Multilevel logistic models quantified the proportional change in between-HRR variation and associations between commonly initiated opioids and inappropriate doses after adjusting for resident characteristics, facility characteristics, and state.
RESULTS:Oxycodone (9.4%) was initiated less frequently than hydrocodone (56.2%) or tramadol (34.5%) but varied dramatically between HRRs (range, 0%–74.5%). In total, resident/facility characteristics and state of residence, respectively explained 84.1%, 58.2%, 59.1%, and 46.6% of the between-HRR variation for initiating oxycodone, hydrocodone, tramadol, and inappropriate doses. In all cases, state explained the largest proportion of between-HRR variation. Relative to hydrocodone, residents initiating oxycodone were more likely (adjusted odds ratio, 5.00; 95% confidence interval, 4.57–5.47) and those initiating tramadol were less likely (adjusted odds ratio, 0.28; 95% confidence interval, 0.25–0.31) to be prescribed potentially inappropriately high doses.
CONCLUSIONS:We documented extensive geographic variation in the opioid and dose initiated for nursing home residents, with state explaining the largest proportion of the observed variation. Further work is needed to understand potential drivers of opioid prescribing patterns at the state level. |
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AbstractList | OBJECTIVES:To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents.
METHODS:We merged 2011 Minimum Data Set 3.0 to Medicare claims and facility characteristics data to conduct a cross-sectional study among long-stay nursing home residents who initiated short-acting opioids commonly used in nursing homes (oxycodone, hydrocodone, or tramadol). We examined geographic variation in specific opioids initiated and potentially inappropriate doses (≥50 mg oral morphine equivalent/d) across hospital referral regions (HRRs). Multilevel logistic models quantified the proportional change in between-HRR variation and associations between commonly initiated opioids and inappropriate doses after adjusting for resident characteristics, facility characteristics, and state.
RESULTS:Oxycodone (9.4%) was initiated less frequently than hydrocodone (56.2%) or tramadol (34.5%) but varied dramatically between HRRs (range, 0%–74.5%). In total, resident/facility characteristics and state of residence, respectively explained 84.1%, 58.2%, 59.1%, and 46.6% of the between-HRR variation for initiating oxycodone, hydrocodone, tramadol, and inappropriate doses. In all cases, state explained the largest proportion of between-HRR variation. Relative to hydrocodone, residents initiating oxycodone were more likely (adjusted odds ratio, 5.00; 95% confidence interval, 4.57–5.47) and those initiating tramadol were less likely (adjusted odds ratio, 0.28; 95% confidence interval, 0.25–0.31) to be prescribed potentially inappropriately high doses.
CONCLUSIONS:We documented extensive geographic variation in the opioid and dose initiated for nursing home residents, with state explaining the largest proportion of the observed variation. Further work is needed to understand potential drivers of opioid prescribing patterns at the state level. To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents. We merged 2011 Minimum Data Set 3.0 to Medicare claims and facility characteristics data to conduct a cross-sectional study among long-stay nursing home residents who initiated short-acting opioids commonly used in nursing homes (oxycodone, hydrocodone, or tramadol). We examined geographic variation in specific opioids initiated and potentially inappropriate doses (≥50 mg oral morphine equivalent/d) across hospital referral regions (HRRs). Multilevel logistic models quantified the proportional change in between-HRR variation and associations between commonly initiated opioids and inappropriate doses after adjusting for resident characteristics, facility characteristics, and state. Oxycodone (9.4%) was initiated less frequently than hydrocodone (56.2%) or tramadol (34.5%) but varied dramatically between HRRs (range, 0%-74.5%). In total, resident/facility characteristics and state of residence, respectively explained 84.1%, 58.2%, 59.1%, and 46.6% of the between-HRR variation for initiating oxycodone, hydrocodone, tramadol, and inappropriate doses. In all cases, state explained the largest proportion of between-HRR variation. Relative to hydrocodone, residents initiating oxycodone were more likely (adjusted odds ratio, 5.00; 95% confidence interval, 4.57-5.47) and those initiating tramadol were less likely (adjusted odds ratio, 0.28; 95% confidence interval, 0.25-0.31) to be prescribed potentially inappropriately high doses. We documented extensive geographic variation in the opioid and dose initiated for nursing home residents, with state explaining the largest proportion of the observed variation. Further work is needed to understand potential drivers of opioid prescribing patterns at the state level. OBJECTIVESTo examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents.METHODSWe merged 2011 Minimum Data Set 3.0 to Medicare claims and facility characteristics data to conduct a cross-sectional study among long-stay nursing home residents who initiated short-acting opioids commonly used in nursing homes (oxycodone, hydrocodone, or tramadol). We examined geographic variation in specific opioids initiated and potentially inappropriate doses (≥50 mg oral morphine equivalent/d) across hospital referral regions (HRRs). Multilevel logistic models quantified the proportional change in between-HRR variation and associations between commonly initiated opioids and inappropriate doses after adjusting for resident characteristics, facility characteristics, and state.RESULTSOxycodone (9.4%) was initiated less frequently than hydrocodone (56.2%) or tramadol (34.5%) but varied dramatically between HRRs (range, 0%-74.5%). In total, resident/facility characteristics and state of residence, respectively explained 84.1%, 58.2%, 59.1%, and 46.6% of the between-HRR variation for initiating oxycodone, hydrocodone, tramadol, and inappropriate doses. In all cases, state explained the largest proportion of between-HRR variation. Relative to hydrocodone, residents initiating oxycodone were more likely (adjusted odds ratio, 5.00; 95% confidence interval, 4.57-5.47) and those initiating tramadol were less likely (adjusted odds ratio, 0.28; 95% confidence interval, 0.25-0.31) to be prescribed potentially inappropriately high doses.CONCLUSIONSWe documented extensive geographic variation in the opioid and dose initiated for nursing home residents, with state explaining the largest proportion of the observed variation. Further work is needed to understand potential drivers of opioid prescribing patterns at the state level. Objectives: To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents. Methods: We merged 2011 Minimum Data Set 3.0 to Medicare claims and facility characteristics data to conduct a cross-sectional study among long-stay nursing home residents who initiated short-acting opioids commonly used in nursing homes (oxycodone, hydrocodone, or tramadol). We examined geographic variation in specific opioids initiated and potentially inappropriate doses (≥50 mg oral morphine equivalent/d) across hospital referral regions (HRRs). Multilevel logistic models quantified the proportional change in between-HRR variation and associations between commonly initiated opioids and inappropriate doses after adjusting for resident characteristics, facility characteristics, and state. Results: Oxycodone (9.4%) was initiated less frequently than hydrocodone (56.2%) or tramadol (34.5%) but varied dramatically between HRRs (range, 0%–74.5%). In total, resident/facility characteristics and state of residence, respectively explained 84.1%, 58.2%, 59.1%, and 46.6% of the between-HRR variation for initiating oxycodone, hydrocodone, tramadol, and inappropriate doses. In all cases, state explained the largest proportion of between-HRR variation. Relative to hydrocodone, residents initiating oxycodone were more likely (adjusted odds ratio, 5.00; 95% confidence interval, 4.57–5.47) and those initiating tramadol were less likely (adjusted odds ratio, 0.28; 95% confidence interval, 0.25–0.31) to be prescribed potentially inappropriately high doses. Conclusions: We documented extensive geographic variation in the opioid and dose initiated for nursing home residents, with state explaining the largest proportion of the observed variation. Further work is needed to understand potential drivers of opioid prescribing patterns at the state level. |
Author | Hume, Anne L Hunnicutt, Jacob N Lapane, Kate L Alcusky, Matthew Liu, Shao-Hsien Baek, Jonggyu Tjia, Jennifer Ulbricht, Christine M |
AuthorAffiliation | Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA |
AuthorAffiliation_xml | – name: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA – name: 3 Department of Family Medicine, Alpert Medical School, Brown University, Memorial Hospital of Rhode Island, Providence, RI – name: 2 Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, RI – name: 1 Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA |
Author_xml | – sequence: 1 givenname: Jacob surname: Hunnicutt middlename: N fullname: Hunnicutt, Jacob N organization: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA – sequence: 2 givenname: Jonggyu surname: Baek fullname: Baek, Jonggyu organization: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA – sequence: 3 givenname: Matthew surname: Alcusky fullname: Alcusky, Matthew organization: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA – sequence: 4 givenname: Anne surname: Hume middlename: L fullname: Hume, Anne L organization: Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston – sequence: 5 givenname: Shao-Hsien surname: Liu fullname: Liu, Shao-Hsien organization: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA – sequence: 6 givenname: Christine surname: Ulbricht middlename: M fullname: Ulbricht, Christine M organization: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA – sequence: 7 givenname: Jennifer surname: Tjia fullname: Tjia, Jennifer organization: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA – sequence: 8 givenname: Kate surname: Lapane middlename: L fullname: Lapane, Kate L organization: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA |
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CitedBy_id | crossref_primary_10_1093_jac_dkab007 crossref_primary_10_5055_jom_0848 crossref_primary_10_1016_j_jamda_2022_05_025 crossref_primary_10_1002_pds_5075 crossref_primary_10_1007_s40266_018_0583_x crossref_primary_10_1016_j_jamda_2020_10_001 crossref_primary_10_1016_j_jamda_2023_02_015 crossref_primary_10_2147_JPR_S345521 crossref_primary_10_1016_j_jamda_2021_04_016 crossref_primary_10_1111_jgs_17785 crossref_primary_10_5055_jom_0824 |
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Snippet | OBJECTIVES:To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home... To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home residents.... Objectives: To examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home... OBJECTIVESTo examine and quantify geographic variation in the initiation of commonly used opioids and prescribed dosage strength among older US nursing home... |
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SubjectTerms | Confidence intervals Dosage Drug dosages Geography Government programs Health care Morphine Narcotics Nurses Nursing homes Older people Opioids Oxycodone Tramadol Variation |
Title | Geographic Variation in the Initiation of Commonly Used Opioids and Dosage Strength in United States Nursing Homes |
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