Do Subsidization and Monitoring Enhance Adherence to Prescribed Exercise?
Purpose. We studied whether partial versus full subsidization and self versus other monitoring promote adherence to physician-prescribed exercise. Method. We randomly assigned 132 participants to experimental conditions defined by two levels of subsidization and two types of monitoring. Physicians w...
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| Veröffentlicht in: | American journal of health promotion 2007-09, Vol.22 (1), p.2-5 |
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| creator | Shepich, Jeffrey Slowiak, Julie M. Keniston, Allen |
| description | Purpose.
We studied whether partial versus full subsidization and self versus other monitoring promote adherence to physician-prescribed exercise.
Method.
We randomly assigned 132 participants to experimental conditions defined by two levels of subsidization and two types of monitoring. Physicians wrote prescriptions as referrals to an exercise facility. A computer recorded participants' exercise for 12 weeks. A sponsoring medical organization paid half or all of the facility's fees. Half of the participants kept records of workouts, and half reported workouts to researchers who telephoned them.
Results.
Fully subsidized patients averaged 21.41 workouts versus 16.67 workouts by partially subsidized patients (p < .05). Researcher-monitored participants averaged 22.14 workouts versus 15.96 workouts by self-monitored participants (p < .01).
Conclusions.
Full subsidization and third-party monitoring increased exercise rates. These findings encourage use of both to enhance prescribed exercise rates and continued study of factors that contribute to the efficacy of prescribed exercise. |
| doi_str_mv | 10.4278/0890-1171-22.1.2 |
| format | Article |
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We studied whether partial versus full subsidization and self versus other monitoring promote adherence to physician-prescribed exercise.
Method.
We randomly assigned 132 participants to experimental conditions defined by two levels of subsidization and two types of monitoring. Physicians wrote prescriptions as referrals to an exercise facility. A computer recorded participants' exercise for 12 weeks. A sponsoring medical organization paid half or all of the facility's fees. Half of the participants kept records of workouts, and half reported workouts to researchers who telephoned them.
Results.
Fully subsidized patients averaged 21.41 workouts versus 16.67 workouts by partially subsidized patients (p < .05). Researcher-monitored participants averaged 22.14 workouts versus 15.96 workouts by self-monitored participants (p < .01).
Conclusions.
Full subsidization and third-party monitoring increased exercise rates. These findings encourage use of both to enhance prescribed exercise rates and continued study of factors that contribute to the efficacy of prescribed exercise.</description><identifier>ISSN: 0890-1171</identifier><identifier>EISSN: 2168-6602</identifier><identifier>DOI: 10.4278/0890-1171-22.1.2</identifier><identifier>PMID: 17894256</identifier><identifier>CODEN: AJHPED</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Adherence ; Adult ; Aged ; Analysis of Variance ; Efficacy ; Exercise ; Exercise Therapy - economics ; Exercise Therapy - statistics & numerical data ; Female ; Fitness Centers - utilization ; Health Promotion - economics ; Health Promotion - methods ; Health Services Research ; Health technology assessment ; Humans ; Male ; Managed Care Programs - economics ; Middle Aged ; Monitoring ; Monitoring, Physiologic - methods ; Motivation ; Patient Compliance - psychology ; Patient Compliance - statistics & numerical data ; Physical Fitness - psychology ; Prescribed ; Prescriptions ; Primary Health Care - methods ; Referral and Consultation ; Self Care - economics ; Self Efficacy ; Subsidies</subject><ispartof>American journal of health promotion, 2007-09, Vol.22 (1), p.2-5</ispartof><rights>2007 SAGE Publications</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-472f8425a2e321cca359fac4682d2c22ce9ac57d4fa3a341333c75d7407c30ff3</citedby><cites>FETCH-LOGICAL-c397t-472f8425a2e321cca359fac4682d2c22ce9ac57d4fa3a341333c75d7407c30ff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.4278/0890-1171-22.1.2$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.4278/0890-1171-22.1.2$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,31000,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17894256$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shepich, Jeffrey</creatorcontrib><creatorcontrib>Slowiak, Julie M.</creatorcontrib><creatorcontrib>Keniston, Allen</creatorcontrib><title>Do Subsidization and Monitoring Enhance Adherence to Prescribed Exercise?</title><title>American journal of health promotion</title><addtitle>Am J Health Promot</addtitle><description>Purpose.
We studied whether partial versus full subsidization and self versus other monitoring promote adherence to physician-prescribed exercise.
Method.
We randomly assigned 132 participants to experimental conditions defined by two levels of subsidization and two types of monitoring. Physicians wrote prescriptions as referrals to an exercise facility. A computer recorded participants' exercise for 12 weeks. A sponsoring medical organization paid half or all of the facility's fees. Half of the participants kept records of workouts, and half reported workouts to researchers who telephoned them.
Results.
Fully subsidized patients averaged 21.41 workouts versus 16.67 workouts by partially subsidized patients (p < .05). Researcher-monitored participants averaged 22.14 workouts versus 15.96 workouts by self-monitored participants (p < .01).
Conclusions.
Full subsidization and third-party monitoring increased exercise rates. These findings encourage use of both to enhance prescribed exercise rates and continued study of factors that contribute to the efficacy of prescribed exercise.</description><subject>Adherence</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis of Variance</subject><subject>Efficacy</subject><subject>Exercise</subject><subject>Exercise Therapy - economics</subject><subject>Exercise Therapy - statistics & numerical data</subject><subject>Female</subject><subject>Fitness Centers - utilization</subject><subject>Health Promotion - economics</subject><subject>Health Promotion - methods</subject><subject>Health Services Research</subject><subject>Health technology assessment</subject><subject>Humans</subject><subject>Male</subject><subject>Managed Care Programs - economics</subject><subject>Middle Aged</subject><subject>Monitoring</subject><subject>Monitoring, Physiologic - methods</subject><subject>Motivation</subject><subject>Patient Compliance - psychology</subject><subject>Patient Compliance - statistics & numerical data</subject><subject>Physical Fitness - psychology</subject><subject>Prescribed</subject><subject>Prescriptions</subject><subject>Primary Health Care - methods</subject><subject>Referral and Consultation</subject><subject>Self Care - economics</subject><subject>Self Efficacy</subject><subject>Subsidies</subject><issn>0890-1171</issn><issn>2168-6602</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkUFLAzEQhYMotlbvnmRP3rYmk-wme5JSqxYqCuo5pEm2TWk3NdkF9de7S4uepJeZgfnmDbyH0CXBQwZc3GBR4JQQTlKAIRnCEeoDyUWa5xiOUf933UNnMa4whoxgfIp6hIuCQZb30fTOJ6_NPDrjvlXtfJWoyiRPvnK1D65aJJNqqSptk5FZ2mC7qfbJS7BRBze3Jpl82qBdtLfn6KRU62gv9n2A3u8nb-PHdPb8MB2PZqmmBa9TxqEU7W8FlgLRWtGsKJVmuQADGkDbQumMG1YqqigjlFLNM8MZ5prisqQDdL3T3Qb_0dhYy42L2q7XqrK-iTIXlGBByEEw4wTT1qmDIGBWcEZFC-IdqIOPMdhSboPbqPAlCZZdILJzXHaOSwDZlvbkaq_dzDfW_B3sE2iBdAdEtbBy5ZtQte79L_gDmi-SRQ</recordid><startdate>20070901</startdate><enddate>20070901</enddate><creator>Shepich, Jeffrey</creator><creator>Slowiak, Julie M.</creator><creator>Keniston, Allen</creator><general>SAGE Publications</general><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>7TS</scope><scope>7QJ</scope><scope>7X8</scope></search><sort><creationdate>20070901</creationdate><title>Do Subsidization and Monitoring Enhance Adherence to Prescribed Exercise?</title><author>Shepich, Jeffrey ; Slowiak, Julie M. ; Keniston, Allen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-472f8425a2e321cca359fac4682d2c22ce9ac57d4fa3a341333c75d7407c30ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adherence</topic><topic>Adult</topic><topic>Aged</topic><topic>Analysis of Variance</topic><topic>Efficacy</topic><topic>Exercise</topic><topic>Exercise Therapy - economics</topic><topic>Exercise Therapy - statistics & numerical data</topic><topic>Female</topic><topic>Fitness Centers - utilization</topic><topic>Health Promotion - economics</topic><topic>Health Promotion - methods</topic><topic>Health Services Research</topic><topic>Health technology assessment</topic><topic>Humans</topic><topic>Male</topic><topic>Managed Care Programs - economics</topic><topic>Middle Aged</topic><topic>Monitoring</topic><topic>Monitoring, Physiologic - methods</topic><topic>Motivation</topic><topic>Patient Compliance - psychology</topic><topic>Patient Compliance - statistics & numerical data</topic><topic>Physical Fitness - psychology</topic><topic>Prescribed</topic><topic>Prescriptions</topic><topic>Primary Health Care - methods</topic><topic>Referral and Consultation</topic><topic>Self Care - economics</topic><topic>Self Efficacy</topic><topic>Subsidies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shepich, Jeffrey</creatorcontrib><creatorcontrib>Slowiak, Julie M.</creatorcontrib><creatorcontrib>Keniston, Allen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of health promotion</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shepich, Jeffrey</au><au>Slowiak, Julie M.</au><au>Keniston, Allen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do Subsidization and Monitoring Enhance Adherence to Prescribed Exercise?</atitle><jtitle>American journal of health promotion</jtitle><addtitle>Am J Health Promot</addtitle><date>2007-09-01</date><risdate>2007</risdate><volume>22</volume><issue>1</issue><spage>2</spage><epage>5</epage><pages>2-5</pages><issn>0890-1171</issn><eissn>2168-6602</eissn><coden>AJHPED</coden><abstract>Purpose.
We studied whether partial versus full subsidization and self versus other monitoring promote adherence to physician-prescribed exercise.
Method.
We randomly assigned 132 participants to experimental conditions defined by two levels of subsidization and two types of monitoring. Physicians wrote prescriptions as referrals to an exercise facility. A computer recorded participants' exercise for 12 weeks. A sponsoring medical organization paid half or all of the facility's fees. Half of the participants kept records of workouts, and half reported workouts to researchers who telephoned them.
Results.
Fully subsidized patients averaged 21.41 workouts versus 16.67 workouts by partially subsidized patients (p < .05). Researcher-monitored participants averaged 22.14 workouts versus 15.96 workouts by self-monitored participants (p < .01).
Conclusions.
Full subsidization and third-party monitoring increased exercise rates. These findings encourage use of both to enhance prescribed exercise rates and continued study of factors that contribute to the efficacy of prescribed exercise.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>17894256</pmid><doi>10.4278/0890-1171-22.1.2</doi><tpages>4</tpages></addata></record> |
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| source | MEDLINE; Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete A-Z List |
| subjects | Adherence Adult Aged Analysis of Variance Efficacy Exercise Exercise Therapy - economics Exercise Therapy - statistics & numerical data Female Fitness Centers - utilization Health Promotion - economics Health Promotion - methods Health Services Research Health technology assessment Humans Male Managed Care Programs - economics Middle Aged Monitoring Monitoring, Physiologic - methods Motivation Patient Compliance - psychology Patient Compliance - statistics & numerical data Physical Fitness - psychology Prescribed Prescriptions Primary Health Care - methods Referral and Consultation Self Care - economics Self Efficacy Subsidies |
| title | Do Subsidization and Monitoring Enhance Adherence to Prescribed Exercise? |
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