Risk factors for clinically relevant deviations in patients’ medication lists reported by patients in personal health records: a prospective cohort study in a hospital setting
Background Personal health records have the potential to identify medication discrepancies. Although they facilitate patient empowerment and broad implementation of medication reconciliation, more medication discrepancies are identified through medication reconciliation performed by healthcare profe...
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| Veröffentlicht in: | International journal of clinical pharmacy 2022-04, Vol.44 (2), p.539-547 |
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| creator | van der Nat, Denise J. Taks, Margot Huiskes, Victor J. B. van den Bemt, Bart J. F. van Onzenoort, Hein A. W. |
| description | Background
Personal health records have the potential to identify medication discrepancies. Although they facilitate patient empowerment and broad implementation of medication reconciliation, more medication discrepancies are identified through medication reconciliation performed by healthcare professionals.
Aim
We aimed to identify the factors associated with the occurrence of a clinically relevant deviation in a patient’s medication list based on a personal health record (used by patients) compared to medication reconciliation performed by a healthcare professional.
Method
Three- to 14 days prior to a planned admission to the Cardiology-, Internal Medicine- or Neurology Departments, at Amphia Hospital, Breda, the Netherlands, patients were invited to update their medication file in their personal health records. At admission, medication reconciliation was performed by a pharmacy technician. Deviations were determined as differences between these medication lists. Associations between patient-, setting-, and medication-related factors, and the occurrence of a clinically relevant deviation (National Coordinating Council for Medication Error Reporting and Prevention class
≥
E) were analysed.
Results
Of the 488 patients approached, 155 patients were included. Twenty-four clinically relevant deviations were observed. Younger patients (adjusted odds ratio (aOR) 0.94; 95%CI:0.91–0.98), patients who used individual multi-dose packaging (aOR 14.87; 95%CI:2.02–110), and patients who used
≥
8 different medications, were at highest risk for the occurrence of a clinically relevant deviation (sensitivity 0.71; specificity 0.62; area under the curve 0.64 95%CI:0.52–0.76).
Conclusion
Medication reconciliation is the preferred method to identify medication discrepancies for patients with individual multi-dose packaging, and patients who used eight or more different medications. |
| doi_str_mv | 10.1007/s11096-022-01376-w |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9007785</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A721733191</galeid><sourcerecordid>A721733191</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-fd636d72ab7ae154eddeac191bcfffe76de3588135692c8754f5dcdab2b2d1d03</originalsourceid><addsrcrecordid>eNp9kktuFDEQhlsIRKKQC7BAltiw6eBHv4YFUhTxkiIhIVhbbrs84-CxG9sz0ey4BsfgSpyE6kyYAEK4F7a6vr-6f9dfVY8ZPWOU9s8zY3TR1ZTzmjLRd_X1veqYc0brvmfs_uFMxVF1mvMVxdV0nLXNw-pItFRw3rLj6vsHlz8Tq3SJKRMbE9HeBaeV9zuSwMNWhUIMbJ0qLoZMXCATHiGU_OPrN7IGg_BcIt7lklEzxVTAkHF3AG9EkHIMypMVKF9WyOmYTH5BFJlSzBPo4rZAdFyhnOSyMbtZpsgKi66gMEMpLiwfVQ-s8hlOb_eT6tPrVx8v3taX79-8uzi_rHXbsFJb04nO9FyNvQJ0DcaA0mzBRm2thb4zINphYKLtFlwPfdvY1mijRj5ywwwVJ9XLfd9pM6JLjUaS8nJKbq3STkbl5J-V4FZyGbdygePphxYbPLttkOKXDeQi1y5r8F4FiJsseccpHfAXZvTpX-hV3CS8rZlqFkPT4MzvqKXyIF2wEb-r56byvOesFwLtIXX2DwofA2unYwDr8P0fAr4XaJxDTmAPHhmVc9bkPmsSsyZvsiavUfTk99s5SH4lCwGxBzKWwhLSnaX_tP0JKrDllw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2649844100</pqid></control><display><type>article</type><title>Risk factors for clinically relevant deviations in patients’ medication lists reported by patients in personal health records: a prospective cohort study in a hospital setting</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>van der Nat, Denise J. ; Taks, Margot ; Huiskes, Victor J. B. ; van den Bemt, Bart J. F. ; van Onzenoort, Hein A. W.</creator><creatorcontrib>van der Nat, Denise J. ; Taks, Margot ; Huiskes, Victor J. B. ; van den Bemt, Bart J. F. ; van Onzenoort, Hein A. W.</creatorcontrib><description>Background
Personal health records have the potential to identify medication discrepancies. Although they facilitate patient empowerment and broad implementation of medication reconciliation, more medication discrepancies are identified through medication reconciliation performed by healthcare professionals.
Aim
We aimed to identify the factors associated with the occurrence of a clinically relevant deviation in a patient’s medication list based on a personal health record (used by patients) compared to medication reconciliation performed by a healthcare professional.
Method
Three- to 14 days prior to a planned admission to the Cardiology-, Internal Medicine- or Neurology Departments, at Amphia Hospital, Breda, the Netherlands, patients were invited to update their medication file in their personal health records. At admission, medication reconciliation was performed by a pharmacy technician. Deviations were determined as differences between these medication lists. Associations between patient-, setting-, and medication-related factors, and the occurrence of a clinically relevant deviation (National Coordinating Council for Medication Error Reporting and Prevention class
≥
E) were analysed.
Results
Of the 488 patients approached, 155 patients were included. Twenty-four clinically relevant deviations were observed. Younger patients (adjusted odds ratio (aOR) 0.94; 95%CI:0.91–0.98), patients who used individual multi-dose packaging (aOR 14.87; 95%CI:2.02–110), and patients who used
≥
8 different medications, were at highest risk for the occurrence of a clinically relevant deviation (sensitivity 0.71; specificity 0.62; area under the curve 0.64 95%CI:0.52–0.76).
Conclusion
Medication reconciliation is the preferred method to identify medication discrepancies for patients with individual multi-dose packaging, and patients who used eight or more different medications.</description><identifier>ISSN: 2210-7703</identifier><identifier>EISSN: 2210-7711</identifier><identifier>DOI: 10.1007/s11096-022-01376-w</identifier><identifier>PMID: 35032251</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Cardiology ; Cohort analysis ; Comparative analysis ; Drug dosages ; Drugs ; Health care ; Health Records, Personal ; Hospitals, Teaching ; Humans ; Internal Medicine ; Medical personnel ; Medical records ; Medication errors ; Medication Reconciliation - methods ; Medicine ; Medicine & Public Health ; Patient Admission ; Patients ; Personal health ; Pharmacy ; Prospective Studies ; Reconciliation ; Research Article ; Risk Factors</subject><ispartof>International journal of clinical pharmacy, 2022-04, Vol.44 (2), p.539-547</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>COPYRIGHT 2022 Springer</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-fd636d72ab7ae154eddeac191bcfffe76de3588135692c8754f5dcdab2b2d1d03</citedby><cites>FETCH-LOGICAL-c541t-fd636d72ab7ae154eddeac191bcfffe76de3588135692c8754f5dcdab2b2d1d03</cites><orcidid>0000-0001-7790-9712</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11096-022-01376-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11096-022-01376-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27922,27923,41486,42555,51317</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35032251$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>van der Nat, Denise J.</creatorcontrib><creatorcontrib>Taks, Margot</creatorcontrib><creatorcontrib>Huiskes, Victor J. B.</creatorcontrib><creatorcontrib>van den Bemt, Bart J. F.</creatorcontrib><creatorcontrib>van Onzenoort, Hein A. W.</creatorcontrib><title>Risk factors for clinically relevant deviations in patients’ medication lists reported by patients in personal health records: a prospective cohort study in a hospital setting</title><title>International journal of clinical pharmacy</title><addtitle>Int J Clin Pharm</addtitle><addtitle>Int J Clin Pharm</addtitle><description>Background
Personal health records have the potential to identify medication discrepancies. Although they facilitate patient empowerment and broad implementation of medication reconciliation, more medication discrepancies are identified through medication reconciliation performed by healthcare professionals.
Aim
We aimed to identify the factors associated with the occurrence of a clinically relevant deviation in a patient’s medication list based on a personal health record (used by patients) compared to medication reconciliation performed by a healthcare professional.
Method
Three- to 14 days prior to a planned admission to the Cardiology-, Internal Medicine- or Neurology Departments, at Amphia Hospital, Breda, the Netherlands, patients were invited to update their medication file in their personal health records. At admission, medication reconciliation was performed by a pharmacy technician. Deviations were determined as differences between these medication lists. Associations between patient-, setting-, and medication-related factors, and the occurrence of a clinically relevant deviation (National Coordinating Council for Medication Error Reporting and Prevention class
≥
E) were analysed.
Results
Of the 488 patients approached, 155 patients were included. Twenty-four clinically relevant deviations were observed. Younger patients (adjusted odds ratio (aOR) 0.94; 95%CI:0.91–0.98), patients who used individual multi-dose packaging (aOR 14.87; 95%CI:2.02–110), and patients who used
≥
8 different medications, were at highest risk for the occurrence of a clinically relevant deviation (sensitivity 0.71; specificity 0.62; area under the curve 0.64 95%CI:0.52–0.76).
Conclusion
Medication reconciliation is the preferred method to identify medication discrepancies for patients with individual multi-dose packaging, and patients who used eight or more different medications.</description><subject>Cardiology</subject><subject>Cohort analysis</subject><subject>Comparative analysis</subject><subject>Drug dosages</subject><subject>Drugs</subject><subject>Health care</subject><subject>Health Records, Personal</subject><subject>Hospitals, Teaching</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Medical personnel</subject><subject>Medical records</subject><subject>Medication errors</subject><subject>Medication Reconciliation - methods</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Patient Admission</subject><subject>Patients</subject><subject>Personal health</subject><subject>Pharmacy</subject><subject>Prospective Studies</subject><subject>Reconciliation</subject><subject>Research Article</subject><subject>Risk Factors</subject><issn>2210-7703</issn><issn>2210-7711</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kktuFDEQhlsIRKKQC7BAltiw6eBHv4YFUhTxkiIhIVhbbrs84-CxG9sz0ey4BsfgSpyE6kyYAEK4F7a6vr-6f9dfVY8ZPWOU9s8zY3TR1ZTzmjLRd_X1veqYc0brvmfs_uFMxVF1mvMVxdV0nLXNw-pItFRw3rLj6vsHlz8Tq3SJKRMbE9HeBaeV9zuSwMNWhUIMbJ0qLoZMXCATHiGU_OPrN7IGg_BcIt7lklEzxVTAkHF3AG9EkHIMypMVKF9WyOmYTH5BFJlSzBPo4rZAdFyhnOSyMbtZpsgKi66gMEMpLiwfVQ-s8hlOb_eT6tPrVx8v3taX79-8uzi_rHXbsFJb04nO9FyNvQJ0DcaA0mzBRm2thb4zINphYKLtFlwPfdvY1mijRj5ywwwVJ9XLfd9pM6JLjUaS8nJKbq3STkbl5J-V4FZyGbdygePphxYbPLttkOKXDeQi1y5r8F4FiJsseccpHfAXZvTpX-hV3CS8rZlqFkPT4MzvqKXyIF2wEb-r56byvOesFwLtIXX2DwofA2unYwDr8P0fAr4XaJxDTmAPHhmVc9bkPmsSsyZvsiavUfTk99s5SH4lCwGxBzKWwhLSnaX_tP0JKrDllw</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>van der Nat, Denise J.</creator><creator>Taks, Margot</creator><creator>Huiskes, Victor J. B.</creator><creator>van den Bemt, Bart J. F.</creator><creator>van Onzenoort, Hein A. 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B. ; van den Bemt, Bart J. F. ; van Onzenoort, Hein A. W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-fd636d72ab7ae154eddeac191bcfffe76de3588135692c8754f5dcdab2b2d1d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cardiology</topic><topic>Cohort analysis</topic><topic>Comparative analysis</topic><topic>Drug dosages</topic><topic>Drugs</topic><topic>Health care</topic><topic>Health Records, Personal</topic><topic>Hospitals, Teaching</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Medical personnel</topic><topic>Medical records</topic><topic>Medication errors</topic><topic>Medication Reconciliation - methods</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Patient Admission</topic><topic>Patients</topic><topic>Personal health</topic><topic>Pharmacy</topic><topic>Prospective Studies</topic><topic>Reconciliation</topic><topic>Research Article</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van der Nat, Denise J.</creatorcontrib><creatorcontrib>Taks, Margot</creatorcontrib><creatorcontrib>Huiskes, Victor J. 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B.</au><au>van den Bemt, Bart J. F.</au><au>van Onzenoort, Hein A. W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk factors for clinically relevant deviations in patients’ medication lists reported by patients in personal health records: a prospective cohort study in a hospital setting</atitle><jtitle>International journal of clinical pharmacy</jtitle><stitle>Int J Clin Pharm</stitle><addtitle>Int J Clin Pharm</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>44</volume><issue>2</issue><spage>539</spage><epage>547</epage><pages>539-547</pages><issn>2210-7703</issn><eissn>2210-7711</eissn><abstract>Background
Personal health records have the potential to identify medication discrepancies. Although they facilitate patient empowerment and broad implementation of medication reconciliation, more medication discrepancies are identified through medication reconciliation performed by healthcare professionals.
Aim
We aimed to identify the factors associated with the occurrence of a clinically relevant deviation in a patient’s medication list based on a personal health record (used by patients) compared to medication reconciliation performed by a healthcare professional.
Method
Three- to 14 days prior to a planned admission to the Cardiology-, Internal Medicine- or Neurology Departments, at Amphia Hospital, Breda, the Netherlands, patients were invited to update their medication file in their personal health records. At admission, medication reconciliation was performed by a pharmacy technician. Deviations were determined as differences between these medication lists. Associations between patient-, setting-, and medication-related factors, and the occurrence of a clinically relevant deviation (National Coordinating Council for Medication Error Reporting and Prevention class
≥
E) were analysed.
Results
Of the 488 patients approached, 155 patients were included. Twenty-four clinically relevant deviations were observed. Younger patients (adjusted odds ratio (aOR) 0.94; 95%CI:0.91–0.98), patients who used individual multi-dose packaging (aOR 14.87; 95%CI:2.02–110), and patients who used
≥
8 different medications, were at highest risk for the occurrence of a clinically relevant deviation (sensitivity 0.71; specificity 0.62; area under the curve 0.64 95%CI:0.52–0.76).
Conclusion
Medication reconciliation is the preferred method to identify medication discrepancies for patients with individual multi-dose packaging, and patients who used eight or more different medications.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35032251</pmid><doi>10.1007/s11096-022-01376-w</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-7790-9712</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | International journal of clinical pharmacy, 2022-04, Vol.44 (2), p.539-547 |
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| language | eng |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Cardiology Cohort analysis Comparative analysis Drug dosages Drugs Health care Health Records, Personal Hospitals, Teaching Humans Internal Medicine Medical personnel Medical records Medication errors Medication Reconciliation - methods Medicine Medicine & Public Health Patient Admission Patients Personal health Pharmacy Prospective Studies Reconciliation Research Article Risk Factors |
| title | Risk factors for clinically relevant deviations in patients’ medication lists reported by patients in personal health records: a prospective cohort study in a hospital setting |
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