Electronically monitored adherence to medications by newly diagnosed patients with juvenile rheumatoid arthritis

Objective To describe patterns of adherence to nonsteroidal antiinflammatory drugs (NSAIDs) in newly diagnosed patients with juvenile rheumatoid arthritis (JRA), and to examine demographic and disease‐related variables as potential predictors of adherence. Methods Adherence to NSAIDs was monitored i...

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Veröffentlicht in:Arthritis and rheumatism 2005-12, Vol.53 (6), p.905-910
Hauptverfasser: Rapoff, Michael A., Belmont, John M., Lindsley, Carol B., Olson, Nancy Y.
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container_end_page 910
container_issue 6
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container_title Arthritis and rheumatism
container_volume 53
creator Rapoff, Michael A.
Belmont, John M.
Lindsley, Carol B.
Olson, Nancy Y.
description Objective To describe patterns of adherence to nonsteroidal antiinflammatory drugs (NSAIDs) in newly diagnosed patients with juvenile rheumatoid arthritis (JRA), and to examine demographic and disease‐related variables as potential predictors of adherence. Methods Adherence to NSAIDs was monitored in 48 children with JRA (mean age 8.6 years) over 28 consecutive days using an electronic monitoring device. Measures of disease activity (active joint counts, morning stiffness) and demographics (age, sex, ethnicity, socioeconomic status) were also obtained. Results Using an 80% adherence cut point, 25 (52%) patients were classified as adherent and 23 (48%) as nonadherent. There was considerable variability across patients, with full adherence (taking all doses on time) ranging from 0 to 100% of the monitored days. Logistic regression showed that active joint count and socioeconomic status were the only significant predictors. Both were positively related to adherence. The model correctly classified 70.5% of patients as either adherent or nonadherent (Cox and Snell R2 = 0.295, P = 0.0005). Conclusion Children newly diagnosed with JRA are more likely to adhere to an NSAID regimen if they have a greater number of active joints or their families have higher socioeconomic status. The former finding suggests that children's adherence is symptom‐driven, while the latter suggests that families of lower socioeconomic status deserve special attention to address adherence issues.
doi_str_mv 10.1002/art.21603
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Methods Adherence to NSAIDs was monitored in 48 children with JRA (mean age 8.6 years) over 28 consecutive days using an electronic monitoring device. Measures of disease activity (active joint counts, morning stiffness) and demographics (age, sex, ethnicity, socioeconomic status) were also obtained. Results Using an 80% adherence cut point, 25 (52%) patients were classified as adherent and 23 (48%) as nonadherent. There was considerable variability across patients, with full adherence (taking all doses on time) ranging from 0 to 100% of the monitored days. Logistic regression showed that active joint count and socioeconomic status were the only significant predictors. Both were positively related to adherence. The model correctly classified 70.5% of patients as either adherent or nonadherent (Cox and Snell R2 = 0.295, P = 0.0005). Conclusion Children newly diagnosed with JRA are more likely to adhere to an NSAID regimen if they have a greater number of active joints or their families have higher socioeconomic status. The former finding suggests that children's adherence is symptom‐driven, while the latter suggests that families of lower socioeconomic status deserve special attention to address adherence issues.</description><identifier>ISSN: 0004-3591</identifier><identifier>ISSN: 0893-7524</identifier><identifier>EISSN: 1529-0131</identifier><identifier>EISSN: 1529-0123</identifier><identifier>DOI: 10.1002/art.21603</identifier><identifier>PMID: 16342104</identifier><identifier>CODEN: ARCREG</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Adherence ; Adolescent ; Anti-Inflammatory Agents, Non-Steroidal - therapeutic use ; Antirheumatic Agents - therapeutic use ; Arthritis, Juvenile - diagnosis ; Arthritis, Juvenile - drug therapy ; Arthritis, Juvenile - physiopathology ; Biological and medical sciences ; Bones, joints and connective tissue. Antiinflammatory agents ; Child ; Child, Preschool ; Diseases of the osteoarticular system ; Drug Monitoring - methods ; Electronic monitoring ; Electronics ; Female ; Health Status ; Humans ; Inflammatory joint diseases ; Juvenile rheumatoid arthritis ; Male ; Medical sciences ; Nonsteroidal antiinflammatory drugs ; Patient Compliance ; Pharmacology. 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Methods Adherence to NSAIDs was monitored in 48 children with JRA (mean age 8.6 years) over 28 consecutive days using an electronic monitoring device. Measures of disease activity (active joint counts, morning stiffness) and demographics (age, sex, ethnicity, socioeconomic status) were also obtained. Results Using an 80% adherence cut point, 25 (52%) patients were classified as adherent and 23 (48%) as nonadherent. There was considerable variability across patients, with full adherence (taking all doses on time) ranging from 0 to 100% of the monitored days. Logistic regression showed that active joint count and socioeconomic status were the only significant predictors. Both were positively related to adherence. The model correctly classified 70.5% of patients as either adherent or nonadherent (Cox and Snell R2 = 0.295, P = 0.0005). Conclusion Children newly diagnosed with JRA are more likely to adhere to an NSAID regimen if they have a greater number of active joints or their families have higher socioeconomic status. The former finding suggests that children's adherence is symptom‐driven, while the latter suggests that families of lower socioeconomic status deserve special attention to address adherence issues.</description><subject>Adherence</subject><subject>Adolescent</subject><subject>Anti-Inflammatory Agents, Non-Steroidal - therapeutic use</subject><subject>Antirheumatic Agents - therapeutic use</subject><subject>Arthritis, Juvenile - diagnosis</subject><subject>Arthritis, Juvenile - drug therapy</subject><subject>Arthritis, Juvenile - physiopathology</subject><subject>Biological and medical sciences</subject><subject>Bones, joints and connective tissue. Antiinflammatory agents</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Diseases of the osteoarticular system</subject><subject>Drug Monitoring - methods</subject><subject>Electronic monitoring</subject><subject>Electronics</subject><subject>Female</subject><subject>Health Status</subject><subject>Humans</subject><subject>Inflammatory joint diseases</subject><subject>Juvenile rheumatoid arthritis</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Nonsteroidal antiinflammatory drugs</subject><subject>Patient Compliance</subject><subject>Pharmacology. Drug treatments</subject><subject>Severity of Illness Index</subject><subject>Social Class</subject><issn>0004-3591</issn><issn>0893-7524</issn><issn>1529-0131</issn><issn>1529-0123</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10MFq3DAQBmARGpJtmkNfoOjSQA9OJMuW5WMImzawEAjJ2cjSuKvFlraS3GXfvtPswp5ykob5mBl-Qr5ydssZK-90zLcll0yckQWvy7ZgXPBPZMEYqwpRt_ySfE5pg2UpanFBLrkUVclZtSDb5Qgmx-Cd0eO4pxP-cohgqbZriOAN0BzoBBZBdsEn2u-phx1a6_RvHxLaLbbA50R3Lq_pZv4L3o1A4xrmSefgcFrM6-iyS1_I-aDHBNfH94q8PS5fH34Vq-efTw_3q8LgiaLoubRSwFAp2fa2EqppsKwElw0bFPQt1MoORtVGcsGGtrYgTNWw1khjzdCIK3JzmLuN4c8MKXeTSwbGUXsIc-qkUm2pVI3wxwGaGFKKMHTb6CYd9x1n3f94O7y9e48X7bfj0LnHSE7ymCeC70egEwY6RO2NSyfXSNY0SqK7O7gd5rT_eGN3__J6WP0PfouTzA</recordid><startdate>20051215</startdate><enddate>20051215</enddate><creator>Rapoff, Michael A.</creator><creator>Belmont, John M.</creator><creator>Lindsley, Carol B.</creator><creator>Olson, Nancy Y.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Lippincott Williams and Wilkins</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20051215</creationdate><title>Electronically monitored adherence to medications by newly diagnosed patients with juvenile rheumatoid arthritis</title><author>Rapoff, Michael A. ; Belmont, John M. ; Lindsley, Carol B. ; Olson, Nancy Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3533-b16d63ef4869bd4387763e431670f8eb9e58dfc85c6130f95de3c4709c6cdcf73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adherence</topic><topic>Adolescent</topic><topic>Anti-Inflammatory Agents, Non-Steroidal - therapeutic use</topic><topic>Antirheumatic Agents - therapeutic use</topic><topic>Arthritis, Juvenile - diagnosis</topic><topic>Arthritis, Juvenile - drug therapy</topic><topic>Arthritis, Juvenile - physiopathology</topic><topic>Biological and medical sciences</topic><topic>Bones, joints and connective tissue. Antiinflammatory agents</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Diseases of the osteoarticular system</topic><topic>Drug Monitoring - methods</topic><topic>Electronic monitoring</topic><topic>Electronics</topic><topic>Female</topic><topic>Health Status</topic><topic>Humans</topic><topic>Inflammatory joint diseases</topic><topic>Juvenile rheumatoid arthritis</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Nonsteroidal antiinflammatory drugs</topic><topic>Patient Compliance</topic><topic>Pharmacology. Drug treatments</topic><topic>Severity of Illness Index</topic><topic>Social Class</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rapoff, Michael A.</creatorcontrib><creatorcontrib>Belmont, John M.</creatorcontrib><creatorcontrib>Lindsley, Carol B.</creatorcontrib><creatorcontrib>Olson, Nancy Y.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Arthritis and rheumatism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rapoff, Michael A.</au><au>Belmont, John M.</au><au>Lindsley, Carol B.</au><au>Olson, Nancy Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Electronically monitored adherence to medications by newly diagnosed patients with juvenile rheumatoid arthritis</atitle><jtitle>Arthritis and rheumatism</jtitle><addtitle>Arthritis Rheum</addtitle><date>2005-12-15</date><risdate>2005</risdate><volume>53</volume><issue>6</issue><spage>905</spage><epage>910</epage><pages>905-910</pages><issn>0004-3591</issn><issn>0893-7524</issn><eissn>1529-0131</eissn><eissn>1529-0123</eissn><coden>ARCREG</coden><abstract>Objective To describe patterns of adherence to nonsteroidal antiinflammatory drugs (NSAIDs) in newly diagnosed patients with juvenile rheumatoid arthritis (JRA), and to examine demographic and disease‐related variables as potential predictors of adherence. Methods Adherence to NSAIDs was monitored in 48 children with JRA (mean age 8.6 years) over 28 consecutive days using an electronic monitoring device. Measures of disease activity (active joint counts, morning stiffness) and demographics (age, sex, ethnicity, socioeconomic status) were also obtained. Results Using an 80% adherence cut point, 25 (52%) patients were classified as adherent and 23 (48%) as nonadherent. There was considerable variability across patients, with full adherence (taking all doses on time) ranging from 0 to 100% of the monitored days. Logistic regression showed that active joint count and socioeconomic status were the only significant predictors. Both were positively related to adherence. The model correctly classified 70.5% of patients as either adherent or nonadherent (Cox and Snell R2 = 0.295, P = 0.0005). Conclusion Children newly diagnosed with JRA are more likely to adhere to an NSAID regimen if they have a greater number of active joints or their families have higher socioeconomic status. The former finding suggests that children's adherence is symptom‐driven, while the latter suggests that families of lower socioeconomic status deserve special attention to address adherence issues.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>16342104</pmid><doi>10.1002/art.21603</doi><tpages>6</tpages></addata></record>
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subjects Adherence
Adolescent
Anti-Inflammatory Agents, Non-Steroidal - therapeutic use
Antirheumatic Agents - therapeutic use
Arthritis, Juvenile - diagnosis
Arthritis, Juvenile - drug therapy
Arthritis, Juvenile - physiopathology
Biological and medical sciences
Bones, joints and connective tissue. Antiinflammatory agents
Child
Child, Preschool
Diseases of the osteoarticular system
Drug Monitoring - methods
Electronic monitoring
Electronics
Female
Health Status
Humans
Inflammatory joint diseases
Juvenile rheumatoid arthritis
Male
Medical sciences
Nonsteroidal antiinflammatory drugs
Patient Compliance
Pharmacology. Drug treatments
Severity of Illness Index
Social Class
title Electronically monitored adherence to medications by newly diagnosed patients with juvenile rheumatoid arthritis
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