Factors associated with non‐participation and dropout among cancer patients in a cluster‐randomised controlled trial
We investigated the impact of demographic and disease related factors on non‐participation and dropout in a cluster‐randomised behavioural trial in cancer patients with measurements taken between hospitalisation and 6 months thereafter. The percentages of non‐participation and dropout were documente...
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| Veröffentlicht in: | European journal of cancer care 2018-01, Vol.27 (1), p.e12645-n/a |
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| creator | Roick, J. Danker, H. Kersting, A. Briest, S. Dietrich, A. Dietz, A. Einenkel, J. Papsdorf, K. Lordick, F. Meixensberger, J. Mössner, J. Niederwieser, D. Prietzel, T. Schiefke, F. Stolzenburg, J.‐U. Wirtz, H. Singer, S. |
| description | We investigated the impact of demographic and disease related factors on non‐participation and dropout in a cluster‐randomised behavioural trial in cancer patients with measurements taken between hospitalisation and 6 months thereafter. The percentages of non‐participation and dropout were documented at each time point. Factors considered to be potentially related with non‐participation and dropout were as follows: age, sex, marital status, education, income, employment status, tumour site and stage of disease. Of 1,338 eligible patients, 24% declined participation at baseline. Non‐participation was higher in older patients (Odds Ratio [OR] 2.1, CI: 0.6–0.9) and those with advanced disease (OR 2.0, CI: 0.1–1.3). Dropout by 6 months was 25%. Dropout was more frequent with increased age (OR 2.8, CI: 0.8–1.2), advanced disease (OR 3.0, CI: 1.0–1.2), being married (OR 2.4, CI 0.7–1.1) and less frequent with university education (OR 0.4, CI −1.3 to −0.8) and middle income (OR 0.4, CI −0.9 to −0.7). When planning clinical trials, it is important to be aware of patient groups at high risk of non‐participation or dropout, for example older patients or those with advanced disease. Trial designs should consider their special needs to increase their rate of participation. |
| doi_str_mv | 10.1111/ecc.12645 |
| format | Article |
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The percentages of non‐participation and dropout were documented at each time point. Factors considered to be potentially related with non‐participation and dropout were as follows: age, sex, marital status, education, income, employment status, tumour site and stage of disease. Of 1,338 eligible patients, 24% declined participation at baseline. Non‐participation was higher in older patients (Odds Ratio [OR] 2.1, CI: 0.6–0.9) and those with advanced disease (OR 2.0, CI: 0.1–1.3). Dropout by 6 months was 25%. Dropout was more frequent with increased age (OR 2.8, CI: 0.8–1.2), advanced disease (OR 3.0, CI: 1.0–1.2), being married (OR 2.4, CI 0.7–1.1) and less frequent with university education (OR 0.4, CI −1.3 to −0.8) and middle income (OR 0.4, CI −0.9 to −0.7). When planning clinical trials, it is important to be aware of patient groups at high risk of non‐participation or dropout, for example older patients or those with advanced disease. Trial designs should consider their special needs to increase their rate of participation.</description><identifier>ISSN: 0961-5423</identifier><identifier>EISSN: 1365-2354</identifier><identifier>DOI: 10.1111/ecc.12645</identifier><identifier>PMID: 28134477</identifier><language>eng</language><publisher>England: Hindawi Limited</publisher><subject>Adult ; Age Factors ; Aged ; Aged, 80 and over ; Behavior modification ; Cancer ; Clinical trials ; Cluster Analysis ; Clusters ; Colleges & universities ; Demographics ; Disease control ; dropout ; Education ; Educational Status ; Employment ; enrolment ; Evidence-based medicine ; Female ; Human subjects ; Humans ; Income ; lost to follow‐up ; Male ; Marital Status ; Medical research ; Middle Aged ; Multivariate Analysis ; Neoplasms - therapy ; non‐participation ; Nursing ; Odds Ratio ; Participation ; Patient Dropouts - statistics & numerical data ; Patient Participation - statistics & numerical data ; Patients ; Quantitative analysis ; randomised controlled trial ; Randomization ; Randomized Controlled Trials as Topic ; Retention ; Risk Factors ; Socioeconomic factors ; Surveys and Questionnaires ; Tumors ; Young Adult</subject><ispartof>European journal of cancer care, 2018-01, Vol.27 (1), p.e12645-n/a</ispartof><rights>2017 John Wiley & Sons Ltd</rights><rights>2017 John Wiley & Sons Ltd.</rights><rights>Copyright © 2018 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3885-985c36fbe20f5b5bc9e566026fb7df113c8f9ca9e1411570ef16187c77792143</citedby><cites>FETCH-LOGICAL-c3885-985c36fbe20f5b5bc9e566026fb7df113c8f9ca9e1411570ef16187c77792143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fecc.12645$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fecc.12645$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28134477$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roick, J.</creatorcontrib><creatorcontrib>Danker, H.</creatorcontrib><creatorcontrib>Kersting, A.</creatorcontrib><creatorcontrib>Briest, S.</creatorcontrib><creatorcontrib>Dietrich, A.</creatorcontrib><creatorcontrib>Dietz, A.</creatorcontrib><creatorcontrib>Einenkel, J.</creatorcontrib><creatorcontrib>Papsdorf, K.</creatorcontrib><creatorcontrib>Lordick, F.</creatorcontrib><creatorcontrib>Meixensberger, J.</creatorcontrib><creatorcontrib>Mössner, J.</creatorcontrib><creatorcontrib>Niederwieser, D.</creatorcontrib><creatorcontrib>Prietzel, T.</creatorcontrib><creatorcontrib>Schiefke, F.</creatorcontrib><creatorcontrib>Stolzenburg, J.‐U.</creatorcontrib><creatorcontrib>Wirtz, H.</creatorcontrib><creatorcontrib>Singer, S.</creatorcontrib><title>Factors associated with non‐participation and dropout among cancer patients in a cluster‐randomised controlled trial</title><title>European journal of cancer care</title><addtitle>Eur J Cancer Care (Engl)</addtitle><description>We investigated the impact of demographic and disease related factors on non‐participation and dropout in a cluster‐randomised behavioural trial in cancer patients with measurements taken between hospitalisation and 6 months thereafter. The percentages of non‐participation and dropout were documented at each time point. Factors considered to be potentially related with non‐participation and dropout were as follows: age, sex, marital status, education, income, employment status, tumour site and stage of disease. Of 1,338 eligible patients, 24% declined participation at baseline. Non‐participation was higher in older patients (Odds Ratio [OR] 2.1, CI: 0.6–0.9) and those with advanced disease (OR 2.0, CI: 0.1–1.3). Dropout by 6 months was 25%. Dropout was more frequent with increased age (OR 2.8, CI: 0.8–1.2), advanced disease (OR 3.0, CI: 1.0–1.2), being married (OR 2.4, CI 0.7–1.1) and less frequent with university education (OR 0.4, CI −1.3 to −0.8) and middle income (OR 0.4, CI −0.9 to −0.7). When planning clinical trials, it is important to be aware of patient groups at high risk of non‐participation or dropout, for example older patients or those with advanced disease. Trial designs should consider their special needs to increase their rate of participation.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Behavior modification</subject><subject>Cancer</subject><subject>Clinical trials</subject><subject>Cluster Analysis</subject><subject>Clusters</subject><subject>Colleges & universities</subject><subject>Demographics</subject><subject>Disease control</subject><subject>dropout</subject><subject>Education</subject><subject>Educational Status</subject><subject>Employment</subject><subject>enrolment</subject><subject>Evidence-based medicine</subject><subject>Female</subject><subject>Human subjects</subject><subject>Humans</subject><subject>Income</subject><subject>lost to follow‐up</subject><subject>Male</subject><subject>Marital Status</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neoplasms - therapy</subject><subject>non‐participation</subject><subject>Nursing</subject><subject>Odds Ratio</subject><subject>Participation</subject><subject>Patient Dropouts - statistics & numerical data</subject><subject>Patient Participation - statistics & numerical data</subject><subject>Patients</subject><subject>Quantitative analysis</subject><subject>randomised controlled trial</subject><subject>Randomization</subject><subject>Randomized Controlled Trials as Topic</subject><subject>Retention</subject><subject>Risk Factors</subject><subject>Socioeconomic factors</subject><subject>Surveys and Questionnaires</subject><subject>Tumors</subject><subject>Young Adult</subject><issn>0961-5423</issn><issn>1365-2354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kb9uHCEQh1HkKD47KfICEZKbuFibWRZYyujkP5EspXGPuFk2wdqDDbBy3PkR_Ix-knA5x0Wk0Axivvk04kfIR2BnUM-5QzyDVnbiDVkBl6JpuegOyIppCY3oWn5IjnK-Yww46O4dOWx74F2n1Ir8urRYYsrU5hzR2-IGeu_LDxpieH58mm0qHv1si4-B2jDQIcU5LoXabQzfKdqALtFd34WSqa8QxWnJxaU6nupE3PpcpRhDSXGa6rUkb6f35O1op-w-vNRjcnt5cbu-bm6-XX1df7lpkPe9aHQvkMtx41o2io3YoHZCStbWJzWMABz7UaPVDjoAoZgbQUKvUCmlW-j4Mfm8184p_lxcLqaug26abHBxyQZ62Woue8UrevIPeheXFOpyBrQGppjkO-p0T2GKOSc3mjn5rU0PBpjZpWFqGuZPGpX99GJcNls3vJJ_v78C53vg3k_u4f8mc7Fe75W_Ae7dlpQ</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Roick, J.</creator><creator>Danker, H.</creator><creator>Kersting, A.</creator><creator>Briest, S.</creator><creator>Dietrich, A.</creator><creator>Dietz, A.</creator><creator>Einenkel, J.</creator><creator>Papsdorf, K.</creator><creator>Lordick, F.</creator><creator>Meixensberger, J.</creator><creator>Mössner, J.</creator><creator>Niederwieser, D.</creator><creator>Prietzel, T.</creator><creator>Schiefke, F.</creator><creator>Stolzenburg, J.‐U.</creator><creator>Wirtz, H.</creator><creator>Singer, S.</creator><general>Hindawi Limited</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>8FD</scope><scope>ASE</scope><scope>FPQ</scope><scope>FR3</scope><scope>K6X</scope><scope>K9.</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201801</creationdate><title>Factors associated with non‐participation and dropout among cancer patients in a cluster‐randomised controlled trial</title><author>Roick, J. ; Danker, H. ; Kersting, A. ; Briest, S. ; Dietrich, A. ; Dietz, A. ; Einenkel, J. ; Papsdorf, K. ; Lordick, F. ; Meixensberger, J. ; Mössner, J. ; Niederwieser, D. ; Prietzel, T. ; Schiefke, F. ; Stolzenburg, J.‐U. ; Wirtz, H. ; Singer, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3885-985c36fbe20f5b5bc9e566026fb7df113c8f9ca9e1411570ef16187c77792143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Behavior modification</topic><topic>Cancer</topic><topic>Clinical trials</topic><topic>Cluster Analysis</topic><topic>Clusters</topic><topic>Colleges & universities</topic><topic>Demographics</topic><topic>Disease control</topic><topic>dropout</topic><topic>Education</topic><topic>Educational Status</topic><topic>Employment</topic><topic>enrolment</topic><topic>Evidence-based medicine</topic><topic>Female</topic><topic>Human subjects</topic><topic>Humans</topic><topic>Income</topic><topic>lost to follow‐up</topic><topic>Male</topic><topic>Marital Status</topic><topic>Medical research</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Neoplasms - therapy</topic><topic>non‐participation</topic><topic>Nursing</topic><topic>Odds Ratio</topic><topic>Participation</topic><topic>Patient Dropouts - statistics & numerical data</topic><topic>Patient Participation - statistics & numerical data</topic><topic>Patients</topic><topic>Quantitative analysis</topic><topic>randomised controlled trial</topic><topic>Randomization</topic><topic>Randomized Controlled Trials as Topic</topic><topic>Retention</topic><topic>Risk Factors</topic><topic>Socioeconomic factors</topic><topic>Surveys and Questionnaires</topic><topic>Tumors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roick, J.</creatorcontrib><creatorcontrib>Danker, H.</creatorcontrib><creatorcontrib>Kersting, A.</creatorcontrib><creatorcontrib>Briest, S.</creatorcontrib><creatorcontrib>Dietrich, A.</creatorcontrib><creatorcontrib>Dietz, A.</creatorcontrib><creatorcontrib>Einenkel, J.</creatorcontrib><creatorcontrib>Papsdorf, K.</creatorcontrib><creatorcontrib>Lordick, F.</creatorcontrib><creatorcontrib>Meixensberger, J.</creatorcontrib><creatorcontrib>Mössner, J.</creatorcontrib><creatorcontrib>Niederwieser, D.</creatorcontrib><creatorcontrib>Prietzel, T.</creatorcontrib><creatorcontrib>Schiefke, F.</creatorcontrib><creatorcontrib>Stolzenburg, J.‐U.</creatorcontrib><creatorcontrib>Wirtz, H.</creatorcontrib><creatorcontrib>Singer, S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Engineering Research Database</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of cancer care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roick, J.</au><au>Danker, H.</au><au>Kersting, A.</au><au>Briest, S.</au><au>Dietrich, A.</au><au>Dietz, A.</au><au>Einenkel, J.</au><au>Papsdorf, K.</au><au>Lordick, F.</au><au>Meixensberger, J.</au><au>Mössner, J.</au><au>Niederwieser, D.</au><au>Prietzel, T.</au><au>Schiefke, F.</au><au>Stolzenburg, J.‐U.</au><au>Wirtz, H.</au><au>Singer, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with non‐participation and dropout among cancer patients in a cluster‐randomised controlled trial</atitle><jtitle>European journal of cancer care</jtitle><addtitle>Eur J Cancer Care (Engl)</addtitle><date>2018-01</date><risdate>2018</risdate><volume>27</volume><issue>1</issue><spage>e12645</spage><epage>n/a</epage><pages>e12645-n/a</pages><issn>0961-5423</issn><eissn>1365-2354</eissn><abstract>We investigated the impact of demographic and disease related factors on non‐participation and dropout in a cluster‐randomised behavioural trial in cancer patients with measurements taken between hospitalisation and 6 months thereafter. The percentages of non‐participation and dropout were documented at each time point. Factors considered to be potentially related with non‐participation and dropout were as follows: age, sex, marital status, education, income, employment status, tumour site and stage of disease. Of 1,338 eligible patients, 24% declined participation at baseline. Non‐participation was higher in older patients (Odds Ratio [OR] 2.1, CI: 0.6–0.9) and those with advanced disease (OR 2.0, CI: 0.1–1.3). Dropout by 6 months was 25%. Dropout was more frequent with increased age (OR 2.8, CI: 0.8–1.2), advanced disease (OR 3.0, CI: 1.0–1.2), being married (OR 2.4, CI 0.7–1.1) and less frequent with university education (OR 0.4, CI −1.3 to −0.8) and middle income (OR 0.4, CI −0.9 to −0.7). When planning clinical trials, it is important to be aware of patient groups at high risk of non‐participation or dropout, for example older patients or those with advanced disease. Trial designs should consider their special needs to increase their rate of participation.</abstract><cop>England</cop><pub>Hindawi Limited</pub><pmid>28134477</pmid><doi>10.1111/ecc.12645</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Age Factors Aged Aged, 80 and over Behavior modification Cancer Clinical trials Cluster Analysis Clusters Colleges & universities Demographics Disease control dropout Education Educational Status Employment enrolment Evidence-based medicine Female Human subjects Humans Income lost to follow‐up Male Marital Status Medical research Middle Aged Multivariate Analysis Neoplasms - therapy non‐participation Nursing Odds Ratio Participation Patient Dropouts - statistics & numerical data Patient Participation - statistics & numerical data Patients Quantitative analysis randomised controlled trial Randomization Randomized Controlled Trials as Topic Retention Risk Factors Socioeconomic factors Surveys and Questionnaires Tumors Young Adult |
| title | Factors associated with non‐participation and dropout among cancer patients in a cluster‐randomised controlled trial |
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