Is polypharmacy always hazardous? A retrospective cohort analysis using linked electronic health records from primary and secondary care

Aims Prescribing multiple medications is associated with various adverse outcomes, and polypharmacy is commonly considered suggestive of poor prescribing. Polypharmacy might thus be associated with unplanned hospitalization. We sought to test this assumption. Methods Scottish primary care data for 1...

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Veröffentlicht in:British journal of clinical pharmacology 2014-06, Vol.77 (6), p.1073-1082
Hauptverfasser: Payne, Rupert A., Abel, Gary A., Avery, Anthony J., Mercer, Stewart W., Roland, Martin O.
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container_end_page 1082
container_issue 6
container_start_page 1073
container_title British journal of clinical pharmacology
container_volume 77
creator Payne, Rupert A.
Abel, Gary A.
Avery, Anthony J.
Mercer, Stewart W.
Roland, Martin O.
description Aims Prescribing multiple medications is associated with various adverse outcomes, and polypharmacy is commonly considered suggestive of poor prescribing. Polypharmacy might thus be associated with unplanned hospitalization. We sought to test this assumption. Methods Scottish primary care data for 180 815 adults with long‐term clinical conditions and numbers of regular medications were linked to national hospital admissions data for the following year. Using logistic regression (age, gender and deprivation adjusted), we modelled the association of prescribing with unplanned admission for patients with different numbers of long‐term conditions. Results Admissions were more common in patients on multiple medications, but admission risk varied with the number of conditions. For patients with one condition, the odds ratio for unplanned admission for four to six medications was 1.25 (95% confidence interval 1.11–1.42) vs. one to three medications, and 3.42 (95% confidence interval 2.72–4.28) for ≥10 medications vs. one to three medications. However, this effect was greatly reduced for patients with multiple conditions; amongst patients with six or more conditions, those on four to six medications were no more likely to have unplanned admissions than those taking one to three medications (odds ratio 1.00; 95% confidence interval 0.88–1.14), and those taking ≥10 medications had a modestly increased risk of admission (odds ratio 1.50; 95% confidence interval 1.31–1.71). Conclusions Unplanned hospitalization is strongly associated with the number of regular medications. However, the effect is reduced in patients with multiple conditions, in whom only the most extreme levels of polypharmacy are associated with increased admissions. Assumptions that polypharmacy is always hazardous and represents poor care should be tempered by clinical assessment of the conditions for which those drugs are being prescribed.
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A retrospective cohort analysis using linked electronic health records from primary and secondary care</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Wiley Online Library Free Content</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Payne, Rupert A. ; Abel, Gary A. ; Avery, Anthony J. ; Mercer, Stewart W. ; Roland, Martin O.</creator><creatorcontrib>Payne, Rupert A. ; Abel, Gary A. ; Avery, Anthony J. ; Mercer, Stewart W. ; Roland, Martin O.</creatorcontrib><description>Aims Prescribing multiple medications is associated with various adverse outcomes, and polypharmacy is commonly considered suggestive of poor prescribing. Polypharmacy might thus be associated with unplanned hospitalization. We sought to test this assumption. Methods Scottish primary care data for 180 815 adults with long‐term clinical conditions and numbers of regular medications were linked to national hospital admissions data for the following year. Using logistic regression (age, gender and deprivation adjusted), we modelled the association of prescribing with unplanned admission for patients with different numbers of long‐term conditions. Results Admissions were more common in patients on multiple medications, but admission risk varied with the number of conditions. For patients with one condition, the odds ratio for unplanned admission for four to six medications was 1.25 (95% confidence interval 1.11–1.42) vs. one to three medications, and 3.42 (95% confidence interval 2.72–4.28) for ≥10 medications vs. one to three medications. However, this effect was greatly reduced for patients with multiple conditions; amongst patients with six or more conditions, those on four to six medications were no more likely to have unplanned admissions than those taking one to three medications (odds ratio 1.00; 95% confidence interval 0.88–1.14), and those taking ≥10 medications had a modestly increased risk of admission (odds ratio 1.50; 95% confidence interval 1.31–1.71). Conclusions Unplanned hospitalization is strongly associated with the number of regular medications. However, the effect is reduced in patients with multiple conditions, in whom only the most extreme levels of polypharmacy are associated with increased admissions. Assumptions that polypharmacy is always hazardous and represents poor care should be tempered by clinical assessment of the conditions for which those drugs are being prescribed.</description><identifier>ISSN: 0306-5251</identifier><identifier>EISSN: 1365-2125</identifier><identifier>DOI: 10.1111/bcp.12292</identifier><identifier>PMID: 24428591</identifier><language>eng</language><publisher>England: Blackwell Science Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Cohort Studies ; Electronic Health Records ; Female ; hospital admission ; Humans ; Logistic Models ; Male ; Middle Aged ; multimorbidity ; Pharmacoepidemiology ; Polypharmacy ; primary care ; Primary Health Care ; Retrospective Studies ; Secondary Care</subject><ispartof>British journal of clinical pharmacology, 2014-06, Vol.77 (6), p.1073-1082</ispartof><rights>2014 The British Pharmacological Society</rights><rights>2014 The British Pharmacological Society.</rights><rights>2014 The British Pharmacological Society 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4472-ddf04bb914a1052093561104947858b6c926e3b5b9b43f480b8a8dc7cf864cd83</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fbcp.12292$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fbcp.12292$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24428591$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Payne, Rupert A.</creatorcontrib><creatorcontrib>Abel, Gary A.</creatorcontrib><creatorcontrib>Avery, Anthony J.</creatorcontrib><creatorcontrib>Mercer, Stewart W.</creatorcontrib><creatorcontrib>Roland, Martin O.</creatorcontrib><title>Is polypharmacy always hazardous? A retrospective cohort analysis using linked electronic health records from primary and secondary care</title><title>British journal of clinical pharmacology</title><addtitle>Br J Clin Pharmacol</addtitle><description>Aims Prescribing multiple medications is associated with various adverse outcomes, and polypharmacy is commonly considered suggestive of poor prescribing. Polypharmacy might thus be associated with unplanned hospitalization. We sought to test this assumption. Methods Scottish primary care data for 180 815 adults with long‐term clinical conditions and numbers of regular medications were linked to national hospital admissions data for the following year. Using logistic regression (age, gender and deprivation adjusted), we modelled the association of prescribing with unplanned admission for patients with different numbers of long‐term conditions. Results Admissions were more common in patients on multiple medications, but admission risk varied with the number of conditions. For patients with one condition, the odds ratio for unplanned admission for four to six medications was 1.25 (95% confidence interval 1.11–1.42) vs. one to three medications, and 3.42 (95% confidence interval 2.72–4.28) for ≥10 medications vs. one to three medications. However, this effect was greatly reduced for patients with multiple conditions; amongst patients with six or more conditions, those on four to six medications were no more likely to have unplanned admissions than those taking one to three medications (odds ratio 1.00; 95% confidence interval 0.88–1.14), and those taking ≥10 medications had a modestly increased risk of admission (odds ratio 1.50; 95% confidence interval 1.31–1.71). Conclusions Unplanned hospitalization is strongly associated with the number of regular medications. However, the effect is reduced in patients with multiple conditions, in whom only the most extreme levels of polypharmacy are associated with increased admissions. Assumptions that polypharmacy is always hazardous and represents poor care should be tempered by clinical assessment of the conditions for which those drugs are being prescribed.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cohort Studies</subject><subject>Electronic Health Records</subject><subject>Female</subject><subject>hospital admission</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>multimorbidity</subject><subject>Pharmacoepidemiology</subject><subject>Polypharmacy</subject><subject>primary care</subject><subject>Primary Health Care</subject><subject>Retrospective Studies</subject><subject>Secondary Care</subject><issn>0306-5251</issn><issn>1365-2125</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUctuFDEQtBCIbAIHfgD5yGUSP2ftCyisIESKBAc4W35NxuCxB3s20fAFfDZOskTgS7tV1VWtLgBeYXSK2zszdj7FhEjyBGww7XlHMOFPwQZR1HeccHwEjmv9jhCmuOfPwRFhjAgu8Qb8vqxwznGdR10mbVeo461eKxz1L11c3td38BwWv5RcZ2-XcOOhzWMuC9RJx7WGCvc1pGsYQ_rhHfSxsUpOwcLR67iMbdjm4iocSp7gXMKkS3NJDtYGJHfXWV38C_Bs0LH6l4d6Ar59_PB196m7-nxxuTu_6ixjW9I5NyBmjMRMY8QJkpT3GCMm2VZwYXorSe-p4UYaRgcmkBFaOLu1g-iZdYKegLcPuvPeTN5Zn5aiozosprIO6n8khVFd5xvFmpekpAm8OQiU_HPv66KmUK2PUSff7qUwJ4LSHsm-UV__6_Vo8vf8jXD2QLgN0a-POEbqLlfVclX3uar3uy_3H_oHSdyY2A</recordid><startdate>201406</startdate><enddate>201406</enddate><creator>Payne, Rupert A.</creator><creator>Abel, Gary A.</creator><creator>Avery, Anthony J.</creator><creator>Mercer, Stewart W.</creator><creator>Roland, Martin O.</creator><general>Blackwell Science Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201406</creationdate><title>Is polypharmacy always hazardous? A retrospective cohort analysis using linked electronic health records from primary and secondary care</title><author>Payne, Rupert A. ; Abel, Gary A. ; Avery, Anthony J. ; Mercer, Stewart W. ; Roland, Martin O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4472-ddf04bb914a1052093561104947858b6c926e3b5b9b43f480b8a8dc7cf864cd83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Cohort Studies</topic><topic>Electronic Health Records</topic><topic>Female</topic><topic>hospital admission</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>multimorbidity</topic><topic>Pharmacoepidemiology</topic><topic>Polypharmacy</topic><topic>primary care</topic><topic>Primary Health Care</topic><topic>Retrospective Studies</topic><topic>Secondary Care</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Payne, Rupert A.</creatorcontrib><creatorcontrib>Abel, Gary A.</creatorcontrib><creatorcontrib>Avery, Anthony J.</creatorcontrib><creatorcontrib>Mercer, Stewart W.</creatorcontrib><creatorcontrib>Roland, Martin O.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>British journal of clinical pharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Payne, Rupert A.</au><au>Abel, Gary A.</au><au>Avery, Anthony J.</au><au>Mercer, Stewart W.</au><au>Roland, Martin O.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Is polypharmacy always hazardous? A retrospective cohort analysis using linked electronic health records from primary and secondary care</atitle><jtitle>British journal of clinical pharmacology</jtitle><addtitle>Br J Clin Pharmacol</addtitle><date>2014-06</date><risdate>2014</risdate><volume>77</volume><issue>6</issue><spage>1073</spage><epage>1082</epage><pages>1073-1082</pages><issn>0306-5251</issn><eissn>1365-2125</eissn><abstract>Aims Prescribing multiple medications is associated with various adverse outcomes, and polypharmacy is commonly considered suggestive of poor prescribing. Polypharmacy might thus be associated with unplanned hospitalization. We sought to test this assumption. Methods Scottish primary care data for 180 815 adults with long‐term clinical conditions and numbers of regular medications were linked to national hospital admissions data for the following year. Using logistic regression (age, gender and deprivation adjusted), we modelled the association of prescribing with unplanned admission for patients with different numbers of long‐term conditions. Results Admissions were more common in patients on multiple medications, but admission risk varied with the number of conditions. For patients with one condition, the odds ratio for unplanned admission for four to six medications was 1.25 (95% confidence interval 1.11–1.42) vs. one to three medications, and 3.42 (95% confidence interval 2.72–4.28) for ≥10 medications vs. one to three medications. However, this effect was greatly reduced for patients with multiple conditions; amongst patients with six or more conditions, those on four to six medications were no more likely to have unplanned admissions than those taking one to three medications (odds ratio 1.00; 95% confidence interval 0.88–1.14), and those taking ≥10 medications had a modestly increased risk of admission (odds ratio 1.50; 95% confidence interval 1.31–1.71). Conclusions Unplanned hospitalization is strongly associated with the number of regular medications. However, the effect is reduced in patients with multiple conditions, in whom only the most extreme levels of polypharmacy are associated with increased admissions. Assumptions that polypharmacy is always hazardous and represents poor care should be tempered by clinical assessment of the conditions for which those drugs are being prescribed.</abstract><cop>England</cop><pub>Blackwell Science Inc</pub><pmid>24428591</pmid><doi>10.1111/bcp.12292</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Cohort Studies
Electronic Health Records
Female
hospital admission
Humans
Logistic Models
Male
Middle Aged
multimorbidity
Pharmacoepidemiology
Polypharmacy
primary care
Primary Health Care
Retrospective Studies
Secondary Care
title Is polypharmacy always hazardous? A retrospective cohort analysis using linked electronic health records from primary and secondary care
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