SAT0064 Therapy Adherence, Prescribed Medications, Disease Activity and Psychosocial Consequences in Patients with Rheumatoid Arthritis
BackgroundAdherence to rheumatoid arthritis (RA) treatment is essential for therapeutic success.Factors contributing to therapy adherence and their consequences are under debate.ObjectivesTo investigate the relationship between therapy adherence and disease activity as well as patients' quality...
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description | BackgroundAdherence to rheumatoid arthritis (RA) treatment is essential for therapeutic success.Factors contributing to therapy adherence and their consequences are under debate.ObjectivesTo investigate the relationship between therapy adherence and disease activity as well as patients' quality of life.MethodsThe survey included a representative, nationwide sample of German physicians specialized in RA and patients with RA. The physician questionnaire assessed disease activity (DAS28), patients' adherence to therapy and medical prescriptions. The patient questionnaire assessed quality of life (SF-12), health education literacy (i.e., the understanding and use of medical information, HELP), activities of daily living (MDHAQ), fatigue (EORTC QLQ-FA13) and patients' listings of their medications. Adherence was assessed with a combined measure of physician rating (1= very adherent, 0 = less adherent) and the match between physicians' prescriptions and patients' accounts of their medications (1 = perfect match, 0 = no perfect match). Three groups of patients could be distinguished: high (very adherent according to physician and perfect medication match, n=180), medium (either high physician rated adherence or perfect medication match, n=279), and low (0 in both adherence criteria) (n=205). An ANOVA was used to analyze differences in continuous variables among the three groups.Results671 pairs of patient and physician questionnaires were analyzed. Mean patients' age (73% female) was 60 years (SD=12). At the time of assessment, 67.2% the patients showed low disease activity (DAS28 5,1). There was no relation between adherence and demographic variables. However, it was related to disease activity, numerous psychosocial variables and the number of prescribed medications (Table 1).Table 1AdherencepHighMediumLowDAS28*2.45 (1.11)2.80 (1.20)3.06 (1.26) |
doi_str_mv | 10.1136/annrheumdis-2016-eular.4908 |
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fullrecord | <record><control><sourceid>proquest_bmj_p</sourceid><recordid>TN_cdi_proquest_journals_1901859823</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4322514617</sourcerecordid><originalsourceid>FETCH-LOGICAL-b753-26dba9c4382d84b8b0369c699d03e9505e85cb0936cab7a2fea2d58c50410dfb3</originalsourceid><addsrcrecordid>eNpNkMtOwzAQRS0EEqXwD5a6bWAcJ669jMpTKqKC7i2_qrhqk2K7oO7YsOA3-RISyoLVPHTnztVBaETgkhDKrlTThNrtNtbHLAfCMrdbq3BZCOBHaEAKxrs1g2M0AACaFYJNTtFZjKtuBE74AH29VAsAVnx_fC5qF9R2jyvbNa4xboznwUUTvHYWPzrrjUq-beIYX_voVHS4Msm_-bTHqrF4HvembmNrvFrjaadzr7veJmLf4Hl36poU8btPNX7uQ6vUeourkOrgk4_n6GSp1tFd_NUhWtzeLKb32ezp7mFazTI9KWmWM6uVMAXlueWF5hooE4YJYYE6UULpeGk0CMqM0hOVL53KbclNCQUBu9R0iEYH221ou3wxyVW7C033URIBhJeC57RTsYNKb1ZyG_xGhb0kIHvq8h912VOXv9RlT53-AB3Ffi8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1901859823</pqid></control><display><type>article</type><title>SAT0064 Therapy Adherence, Prescribed Medications, Disease Activity and Psychosocial Consequences in Patients with Rheumatoid Arthritis</title><source>BMJ Journals - NESLi2</source><creator>Kuipers, J.G. ; Koller, M. ; Zeman, F. ; Müller, K. ; Rüffer, J.U.</creator><creatorcontrib>Kuipers, J.G. ; Koller, M. ; Zeman, F. ; Müller, K. ; Rüffer, J.U.</creatorcontrib><description>BackgroundAdherence to rheumatoid arthritis (RA) treatment is essential for therapeutic success.Factors contributing to therapy adherence and their consequences are under debate.ObjectivesTo investigate the relationship between therapy adherence and disease activity as well as patients' quality of life.MethodsThe survey included a representative, nationwide sample of German physicians specialized in RA and patients with RA. The physician questionnaire assessed disease activity (DAS28), patients' adherence to therapy and medical prescriptions. The patient questionnaire assessed quality of life (SF-12), health education literacy (i.e., the understanding and use of medical information, HELP), activities of daily living (MDHAQ), fatigue (EORTC QLQ-FA13) and patients' listings of their medications. Adherence was assessed with a combined measure of physician rating (1= very adherent, 0 = less adherent) and the match between physicians' prescriptions and patients' accounts of their medications (1 = perfect match, 0 = no perfect match). Three groups of patients could be distinguished: high (very adherent according to physician and perfect medication match, n=180), medium (either high physician rated adherence or perfect medication match, n=279), and low (0 in both adherence criteria) (n=205). An ANOVA was used to analyze differences in continuous variables among the three groups.Results671 pairs of patient and physician questionnaires were analyzed. Mean patients' age (73% female) was 60 years (SD=12). At the time of assessment, 67.2% the patients showed low disease activity (DAS28 <3,2), 28.8% moderate disease activity (DAS28 3,2 to 5,1), and 4.0% high disease activity (DAS28 >5,1). There was no relation between adherence and demographic variables. However, it was related to disease activity, numerous psychosocial variables and the number of prescribed medications (Table 1).Table 1AdherencepHighMediumLowDAS28*2.45 (1.11)2.80 (1.20)3.06 (1.26)<0.001HAQ (Disability)*0.58 (0.62)0.76 (0.67)0.85 (0.74)0.001SF-12** Physical43.20 (9.91)40.85 (10.95)39.61 (10.98)0.004 Psychological50.42 (10.58)47.49 (11.37)46.47 (11.55)0.002Fatigue* Physical2.18 (0.80)2.39 (0.85)2.45 (0.88)0.006 Psychological1.71 (0.72)1.95 (0.85)2.02 (0.90)0.001 Cognitive1.36 (0.46)1.50 (0.61)1.54 (0.68)0.011HELP* Understanding medical information1.46 (0.54)1.54 (0.65)1.67 (0.78)0.008 Use of medical information1.79 (0.70)1.94 (0.84)2.16 (0.91)<0.001 Communicative competence1.50 (0.53)1.58 (0.64)1.70 (0.75)0.012 Number of prescribed medications3.71 (2.16)5.04 (2.74)5.69 (2.74)<0.001Data are presented using means and (standard deviations). *Lower values denote better performance, **higher values denote better performance.ConclusionsThis study showed that patient adherence to therapy was associated with less disease activity and higher levels of quality of life. Adherence was also dependent on the total number of prescribed medications. The effects were consistent across different psychosocial domains. The findings may help to detect patients who are at risk not to comply with treatment and eventually to optimize patient education and counseling.ReferencesRauscher V et al.: J Rheumatol. 2015 Jan 15. pii: jrheum.140982.Zwikker HE et al.: 2014 Nov 25;8:1635–45. doi: 10.2147/PPA.S66849. eCollection 2014.Gadallah MA et al.: Am J Med Sci. 2014 Dec 3Disclosure of InterestNone declared</description><identifier>ISSN: 0003-4967</identifier><identifier>EISSN: 1468-2060</identifier><identifier>DOI: 10.1136/annrheumdis-2016-eular.4908</identifier><identifier>CODEN: ARDIAO</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><ispartof>Annals of the rheumatic diseases, 2016-06, Vol.75 (Suppl 2), p.687</ispartof><rights>2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2016 (c) 2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ard.bmj.com/content/75/Suppl_2/687.2.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://ard.bmj.com/content/75/Suppl_2/687.2.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,315,781,785,23576,27929,27930,77605,77636</link.rule.ids></links><search><creatorcontrib>Kuipers, J.G.</creatorcontrib><creatorcontrib>Koller, M.</creatorcontrib><creatorcontrib>Zeman, F.</creatorcontrib><creatorcontrib>Müller, K.</creatorcontrib><creatorcontrib>Rüffer, J.U.</creatorcontrib><title>SAT0064 Therapy Adherence, Prescribed Medications, Disease Activity and Psychosocial Consequences in Patients with Rheumatoid Arthritis</title><title>Annals of the rheumatic diseases</title><description>BackgroundAdherence to rheumatoid arthritis (RA) treatment is essential for therapeutic success.Factors contributing to therapy adherence and their consequences are under debate.ObjectivesTo investigate the relationship between therapy adherence and disease activity as well as patients' quality of life.MethodsThe survey included a representative, nationwide sample of German physicians specialized in RA and patients with RA. The physician questionnaire assessed disease activity (DAS28), patients' adherence to therapy and medical prescriptions. The patient questionnaire assessed quality of life (SF-12), health education literacy (i.e., the understanding and use of medical information, HELP), activities of daily living (MDHAQ), fatigue (EORTC QLQ-FA13) and patients' listings of their medications. Adherence was assessed with a combined measure of physician rating (1= very adherent, 0 = less adherent) and the match between physicians' prescriptions and patients' accounts of their medications (1 = perfect match, 0 = no perfect match). Three groups of patients could be distinguished: high (very adherent according to physician and perfect medication match, n=180), medium (either high physician rated adherence or perfect medication match, n=279), and low (0 in both adherence criteria) (n=205). An ANOVA was used to analyze differences in continuous variables among the three groups.Results671 pairs of patient and physician questionnaires were analyzed. Mean patients' age (73% female) was 60 years (SD=12). At the time of assessment, 67.2% the patients showed low disease activity (DAS28 <3,2), 28.8% moderate disease activity (DAS28 3,2 to 5,1), and 4.0% high disease activity (DAS28 >5,1). There was no relation between adherence and demographic variables. However, it was related to disease activity, numerous psychosocial variables and the number of prescribed medications (Table 1).Table 1AdherencepHighMediumLowDAS28*2.45 (1.11)2.80 (1.20)3.06 (1.26)<0.001HAQ (Disability)*0.58 (0.62)0.76 (0.67)0.85 (0.74)0.001SF-12** Physical43.20 (9.91)40.85 (10.95)39.61 (10.98)0.004 Psychological50.42 (10.58)47.49 (11.37)46.47 (11.55)0.002Fatigue* Physical2.18 (0.80)2.39 (0.85)2.45 (0.88)0.006 Psychological1.71 (0.72)1.95 (0.85)2.02 (0.90)0.001 Cognitive1.36 (0.46)1.50 (0.61)1.54 (0.68)0.011HELP* Understanding medical information1.46 (0.54)1.54 (0.65)1.67 (0.78)0.008 Use of medical information1.79 (0.70)1.94 (0.84)2.16 (0.91)<0.001 Communicative competence1.50 (0.53)1.58 (0.64)1.70 (0.75)0.012 Number of prescribed medications3.71 (2.16)5.04 (2.74)5.69 (2.74)<0.001Data are presented using means and (standard deviations). *Lower values denote better performance, **higher values denote better performance.ConclusionsThis study showed that patient adherence to therapy was associated with less disease activity and higher levels of quality of life. Adherence was also dependent on the total number of prescribed medications. The effects were consistent across different psychosocial domains. The findings may help to detect patients who are at risk not to comply with treatment and eventually to optimize patient education and counseling.ReferencesRauscher V et al.: J Rheumatol. 2015 Jan 15. pii: jrheum.140982.Zwikker HE et al.: 2014 Nov 25;8:1635–45. doi: 10.2147/PPA.S66849. eCollection 2014.Gadallah MA et al.: Am J Med Sci. 2014 Dec 3Disclosure of InterestNone declared</description><issn>0003-4967</issn><issn>1468-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNkMtOwzAQRS0EEqXwD5a6bWAcJ669jMpTKqKC7i2_qrhqk2K7oO7YsOA3-RISyoLVPHTnztVBaETgkhDKrlTThNrtNtbHLAfCMrdbq3BZCOBHaEAKxrs1g2M0AACaFYJNTtFZjKtuBE74AH29VAsAVnx_fC5qF9R2jyvbNa4xboznwUUTvHYWPzrrjUq-beIYX_voVHS4Msm_-bTHqrF4HvembmNrvFrjaadzr7veJmLf4Hl36poU8btPNX7uQ6vUeourkOrgk4_n6GSp1tFd_NUhWtzeLKb32ezp7mFazTI9KWmWM6uVMAXlueWF5hooE4YJYYE6UULpeGk0CMqM0hOVL53KbclNCQUBu9R0iEYH221ou3wxyVW7C033URIBhJeC57RTsYNKb1ZyG_xGhb0kIHvq8h912VOXv9RlT53-AB3Ffi8</recordid><startdate>201606</startdate><enddate>201606</enddate><creator>Kuipers, J.G.</creator><creator>Koller, M.</creator><creator>Zeman, F.</creator><creator>Müller, K.</creator><creator>Rüffer, J.U.</creator><general>BMJ Publishing Group LTD</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>201606</creationdate><title>SAT0064 Therapy Adherence, Prescribed Medications, Disease Activity and Psychosocial Consequences in Patients with Rheumatoid Arthritis</title><author>Kuipers, J.G. ; Koller, M. ; Zeman, F. ; Müller, K. ; Rüffer, J.U.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b753-26dba9c4382d84b8b0369c699d03e9505e85cb0936cab7a2fea2d58c50410dfb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuipers, J.G.</creatorcontrib><creatorcontrib>Koller, M.</creatorcontrib><creatorcontrib>Zeman, F.</creatorcontrib><creatorcontrib>Müller, K.</creatorcontrib><creatorcontrib>Rüffer, J.U.</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Annals of the rheumatic diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuipers, J.G.</au><au>Koller, M.</au><au>Zeman, F.</au><au>Müller, K.</au><au>Rüffer, J.U.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SAT0064 Therapy Adherence, Prescribed Medications, Disease Activity and Psychosocial Consequences in Patients with Rheumatoid Arthritis</atitle><jtitle>Annals of the rheumatic diseases</jtitle><date>2016-06</date><risdate>2016</risdate><volume>75</volume><issue>Suppl 2</issue><spage>687</spage><pages>687-</pages><issn>0003-4967</issn><eissn>1468-2060</eissn><coden>ARDIAO</coden><abstract>BackgroundAdherence to rheumatoid arthritis (RA) treatment is essential for therapeutic success.Factors contributing to therapy adherence and their consequences are under debate.ObjectivesTo investigate the relationship between therapy adherence and disease activity as well as patients' quality of life.MethodsThe survey included a representative, nationwide sample of German physicians specialized in RA and patients with RA. The physician questionnaire assessed disease activity (DAS28), patients' adherence to therapy and medical prescriptions. The patient questionnaire assessed quality of life (SF-12), health education literacy (i.e., the understanding and use of medical information, HELP), activities of daily living (MDHAQ), fatigue (EORTC QLQ-FA13) and patients' listings of their medications. Adherence was assessed with a combined measure of physician rating (1= very adherent, 0 = less adherent) and the match between physicians' prescriptions and patients' accounts of their medications (1 = perfect match, 0 = no perfect match). Three groups of patients could be distinguished: high (very adherent according to physician and perfect medication match, n=180), medium (either high physician rated adherence or perfect medication match, n=279), and low (0 in both adherence criteria) (n=205). An ANOVA was used to analyze differences in continuous variables among the three groups.Results671 pairs of patient and physician questionnaires were analyzed. Mean patients' age (73% female) was 60 years (SD=12). At the time of assessment, 67.2% the patients showed low disease activity (DAS28 <3,2), 28.8% moderate disease activity (DAS28 3,2 to 5,1), and 4.0% high disease activity (DAS28 >5,1). There was no relation between adherence and demographic variables. However, it was related to disease activity, numerous psychosocial variables and the number of prescribed medications (Table 1).Table 1AdherencepHighMediumLowDAS28*2.45 (1.11)2.80 (1.20)3.06 (1.26)<0.001HAQ (Disability)*0.58 (0.62)0.76 (0.67)0.85 (0.74)0.001SF-12** Physical43.20 (9.91)40.85 (10.95)39.61 (10.98)0.004 Psychological50.42 (10.58)47.49 (11.37)46.47 (11.55)0.002Fatigue* Physical2.18 (0.80)2.39 (0.85)2.45 (0.88)0.006 Psychological1.71 (0.72)1.95 (0.85)2.02 (0.90)0.001 Cognitive1.36 (0.46)1.50 (0.61)1.54 (0.68)0.011HELP* Understanding medical information1.46 (0.54)1.54 (0.65)1.67 (0.78)0.008 Use of medical information1.79 (0.70)1.94 (0.84)2.16 (0.91)<0.001 Communicative competence1.50 (0.53)1.58 (0.64)1.70 (0.75)0.012 Number of prescribed medications3.71 (2.16)5.04 (2.74)5.69 (2.74)<0.001Data are presented using means and (standard deviations). *Lower values denote better performance, **higher values denote better performance.ConclusionsThis study showed that patient adherence to therapy was associated with less disease activity and higher levels of quality of life. Adherence was also dependent on the total number of prescribed medications. The effects were consistent across different psychosocial domains. The findings may help to detect patients who are at risk not to comply with treatment and eventually to optimize patient education and counseling.ReferencesRauscher V et al.: J Rheumatol. 2015 Jan 15. pii: jrheum.140982.Zwikker HE et al.: 2014 Nov 25;8:1635–45. doi: 10.2147/PPA.S66849. eCollection 2014.Gadallah MA et al.: Am J Med Sci. 2014 Dec 3Disclosure of InterestNone declared</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><doi>10.1136/annrheumdis-2016-eular.4908</doi></addata></record> |
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title | SAT0064 Therapy Adherence, Prescribed Medications, Disease Activity and Psychosocial Consequences in Patients with Rheumatoid Arthritis |
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