Behavioural and demographic predictors of adherence to three consecutive faecal occult blood test screening opportunities: a population study
Social cognitive variables are often examined for their association with initial participation in colorectal cancer screening. Few studies have examined the association of these variables with adherence to multiple screening offers i.e., rescreening. This study aimed to describe patterns of particip...
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description | Social cognitive variables are often examined for their association with initial participation in colorectal cancer screening. Few studies have examined the association of these variables with adherence to multiple screening offers i.e., rescreening. This study aimed to describe patterns of participatory behaviour after three rounds of screening using faecal immunochemical tests (FIT) and to determine social cognitive, demographic and background variables predictive of variations in adherence.
Participants were 1,540 men and women aged 50 to 75 living in South Australia who completed a behavioural survey measuring demographic (for example, age, gender) and social cognitive variables relevant to FIT screening (for example, perceived barriers, benefits, self-efficacy). The survey was followed by three, free FIT screening offers mailed on an annual basis from 2008 to 2010. Patterns of participation after three screening rounds were described as one of five screening behaviours; 1) consistent re-participation (adherent with all screening rounds), 2) consistent refusal (adherent with no screening rounds), 3) drop out (adherent with earlier but not later rounds), 4) intermittent re-participation (adherent with alternate rounds) and 5) delayed entry (adherent with later but not initial round(s)). Univariate (Chi Square and Analysis of Variance) and multivariate (Generalised Estimating Equations) analyses were conducted to determine variables predictive of each category of non-adherence (those that did not participate in every screening offer, groups 2, 3, 4 and 5) relative to consistent re-participation.
Significant social cognitive predictors of non-adherence were; less self-efficacy (drop out and consistent refusal), greater perceived barriers (drop out) and lower levels of response efficacy (consistent refusal). Demographic predictors of non-adherence included; male gender (delayed entry), younger age (intermittent, delayed and consistent refusal), less frequent GP visits (intermittent re-participation) and 'ancillary only' private health insurance (drop out). Less satisfaction with screening at baseline predicted drop out, consistent refusal and delayed entry.
Different combinations of demographic and behavioural variables predicted different patterns of rescreening adherence. Rescreening interventions may benefit from a targeted approach that considers the different needs of the population subgroups. Satisfaction with past FOBT screening measured prior to th |
doi_str_mv | 10.1186/1471-2458-14-238 |
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Participants were 1,540 men and women aged 50 to 75 living in South Australia who completed a behavioural survey measuring demographic (for example, age, gender) and social cognitive variables relevant to FIT screening (for example, perceived barriers, benefits, self-efficacy). The survey was followed by three, free FIT screening offers mailed on an annual basis from 2008 to 2010. Patterns of participation after three screening rounds were described as one of five screening behaviours; 1) consistent re-participation (adherent with all screening rounds), 2) consistent refusal (adherent with no screening rounds), 3) drop out (adherent with earlier but not later rounds), 4) intermittent re-participation (adherent with alternate rounds) and 5) delayed entry (adherent with later but not initial round(s)). Univariate (Chi Square and Analysis of Variance) and multivariate (Generalised Estimating Equations) analyses were conducted to determine variables predictive of each category of non-adherence (those that did not participate in every screening offer, groups 2, 3, 4 and 5) relative to consistent re-participation.
Significant social cognitive predictors of non-adherence were; less self-efficacy (drop out and consistent refusal), greater perceived barriers (drop out) and lower levels of response efficacy (consistent refusal). Demographic predictors of non-adherence included; male gender (delayed entry), younger age (intermittent, delayed and consistent refusal), less frequent GP visits (intermittent re-participation) and 'ancillary only' private health insurance (drop out). Less satisfaction with screening at baseline predicted drop out, consistent refusal and delayed entry.
Different combinations of demographic and behavioural variables predicted different patterns of rescreening adherence. Rescreening interventions may benefit from a targeted approach that considers the different needs of the population subgroups. Satisfaction with past FOBT screening measured prior to the study screening offers was an important predictor of adherence.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/1471-2458-14-238</identifier><identifier>PMID: 24606951</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Aged ; Analysis ; Behavior ; Blood ; Cancer ; Colorectal cancer ; Colorectal Neoplasms - diagnosis ; Colorectal Neoplasms - psychology ; Early Detection of Cancer - psychology ; Early Detection of Cancer - statistics & numerical data ; Female ; Health Knowledge, Attitudes, Practice ; Health services ; Humans ; Male ; Middle Aged ; Multivariate Analysis ; Occult Blood ; Occult sciences ; Oncology, Experimental ; Participation ; Patient Compliance - psychology ; Patient Compliance - statistics & numerical data ; Patient Satisfaction ; Population ; Self Efficacy ; Social aspects ; South Australia ; Studies ; Variance analysis</subject><ispartof>BMC public health, 2014-03, Vol.14 (1), p.238-238, Article 238</ispartof><rights>COPYRIGHT 2014 BioMed Central Ltd.</rights><rights>2014 Duncan et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</rights><rights>Copyright © 2014 Duncan et al.; licensee BioMed Central Ltd. 2014 Duncan et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b617t-7d4df18a5fbffbc9c195d650091b1cb09485df8c8b08752ab5e11c93054fae1b3</citedby><cites>FETCH-LOGICAL-b617t-7d4df18a5fbffbc9c195d650091b1cb09485df8c8b08752ab5e11c93054fae1b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4234274/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4234274/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24606951$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Duncan, Amy</creatorcontrib><creatorcontrib>Turnbull, Deborah</creatorcontrib><creatorcontrib>Wilson, Carlene</creatorcontrib><creatorcontrib>Osborne, Joanne M</creatorcontrib><creatorcontrib>Cole, Stephen R</creatorcontrib><creatorcontrib>Flight, Ingrid</creatorcontrib><creatorcontrib>Young, Graeme P</creatorcontrib><title>Behavioural and demographic predictors of adherence to three consecutive faecal occult blood test screening opportunities: a population study</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Social cognitive variables are often examined for their association with initial participation in colorectal cancer screening. Few studies have examined the association of these variables with adherence to multiple screening offers i.e., rescreening. This study aimed to describe patterns of participatory behaviour after three rounds of screening using faecal immunochemical tests (FIT) and to determine social cognitive, demographic and background variables predictive of variations in adherence.
Participants were 1,540 men and women aged 50 to 75 living in South Australia who completed a behavioural survey measuring demographic (for example, age, gender) and social cognitive variables relevant to FIT screening (for example, perceived barriers, benefits, self-efficacy). The survey was followed by three, free FIT screening offers mailed on an annual basis from 2008 to 2010. Patterns of participation after three screening rounds were described as one of five screening behaviours; 1) consistent re-participation (adherent with all screening rounds), 2) consistent refusal (adherent with no screening rounds), 3) drop out (adherent with earlier but not later rounds), 4) intermittent re-participation (adherent with alternate rounds) and 5) delayed entry (adherent with later but not initial round(s)). Univariate (Chi Square and Analysis of Variance) and multivariate (Generalised Estimating Equations) analyses were conducted to determine variables predictive of each category of non-adherence (those that did not participate in every screening offer, groups 2, 3, 4 and 5) relative to consistent re-participation.
Significant social cognitive predictors of non-adherence were; less self-efficacy (drop out and consistent refusal), greater perceived barriers (drop out) and lower levels of response efficacy (consistent refusal). Demographic predictors of non-adherence included; male gender (delayed entry), younger age (intermittent, delayed and consistent refusal), less frequent GP visits (intermittent re-participation) and 'ancillary only' private health insurance (drop out). Less satisfaction with screening at baseline predicted drop out, consistent refusal and delayed entry.
Different combinations of demographic and behavioural variables predicted different patterns of rescreening adherence. Rescreening interventions may benefit from a targeted approach that considers the different needs of the population subgroups. Satisfaction with past FOBT screening measured prior to the study screening offers was an important predictor of adherence.</description><subject>Aged</subject><subject>Analysis</subject><subject>Behavior</subject><subject>Blood</subject><subject>Cancer</subject><subject>Colorectal cancer</subject><subject>Colorectal Neoplasms - diagnosis</subject><subject>Colorectal Neoplasms - psychology</subject><subject>Early Detection of Cancer - psychology</subject><subject>Early Detection of Cancer - statistics & numerical data</subject><subject>Female</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>Health services</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Occult Blood</subject><subject>Occult sciences</subject><subject>Oncology, Experimental</subject><subject>Participation</subject><subject>Patient Compliance - psychology</subject><subject>Patient Compliance - statistics & numerical data</subject><subject>Patient Satisfaction</subject><subject>Population</subject><subject>Self Efficacy</subject><subject>Social aspects</subject><subject>South Australia</subject><subject>Studies</subject><subject>Variance analysis</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkk2LFDEQhhtR3HX17kkCXrz0mqST7sSDsA5-wYIXPYd8TmfpSdokPbA_wv9sxlmHGVlhySFF6qmXStXbNC8RvESI9W8RGVCLCWUtIi3u2KPm_PD0-Cg-a57lfAMhGhjFT5szTHrYc4rOm18f7Ci3Pi5JTkAGA4zdxHWS8-g1mJM1XpeYMogOSDPaZIO2oERQxmQt0DFkq5fitxY4aXXViFovUwFqitGAYnMBWVc0-LAGcZ5jKkvwxdv8Dkgwx3mZZPExgFwWc_u8eeLklO2Lu_ui-fHp4_fVl_b62-evq6vrVvVoKO1giHGISeqUc0pzjTg1PYWQI4W0gpwwahzTTEE2UCwVtQhp3kFKapdIdRfN-73uvKiNNdqGUv8v5uQ3Mt2KKL04zQQ_inXcCoI7ggdSBVZ7AeXjfwROMzpuxG4dYreOGom6rary5q6NFH8udVZi47O20ySDjUsWiGLYDQNl-AEooj3BGJOHoIQgzlBX0df_oDfVCaGO_g9F0YDxEbWWkxU-uFi_pHei4op2nPKOc1ipy3uoeqqjfDWKdb6-nxTAfYFOMedk3WF8CIqdve8b2KvjvR0K_vq5-w28cvec</recordid><startdate>20140307</startdate><enddate>20140307</enddate><creator>Duncan, Amy</creator><creator>Turnbull, Deborah</creator><creator>Wilson, Carlene</creator><creator>Osborne, Joanne M</creator><creator>Cole, Stephen R</creator><creator>Flight, Ingrid</creator><creator>Young, Graeme P</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>7X8</scope><scope>7U2</scope><scope>5PM</scope></search><sort><creationdate>20140307</creationdate><title>Behavioural and demographic predictors of adherence to three consecutive faecal occult blood test screening opportunities: a population study</title><author>Duncan, Amy ; Turnbull, Deborah ; Wilson, Carlene ; Osborne, Joanne M ; Cole, Stephen R ; Flight, Ingrid ; Young, Graeme P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b617t-7d4df18a5fbffbc9c195d650091b1cb09485df8c8b08752ab5e11c93054fae1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Analysis</topic><topic>Behavior</topic><topic>Blood</topic><topic>Cancer</topic><topic>Colorectal cancer</topic><topic>Colorectal Neoplasms - diagnosis</topic><topic>Colorectal Neoplasms - psychology</topic><topic>Early Detection of Cancer - psychology</topic><topic>Early Detection of Cancer - statistics & numerical data</topic><topic>Female</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>Health services</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Occult Blood</topic><topic>Occult sciences</topic><topic>Oncology, Experimental</topic><topic>Participation</topic><topic>Patient Compliance - psychology</topic><topic>Patient Compliance - statistics & numerical data</topic><topic>Patient Satisfaction</topic><topic>Population</topic><topic>Self Efficacy</topic><topic>Social aspects</topic><topic>South Australia</topic><topic>Studies</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duncan, Amy</creatorcontrib><creatorcontrib>Turnbull, Deborah</creatorcontrib><creatorcontrib>Wilson, Carlene</creatorcontrib><creatorcontrib>Osborne, Joanne M</creatorcontrib><creatorcontrib>Cole, Stephen R</creatorcontrib><creatorcontrib>Flight, Ingrid</creatorcontrib><creatorcontrib>Young, Graeme P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</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>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>MEDLINE - Academic</collection><collection>Safety Science and Risk</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duncan, Amy</au><au>Turnbull, Deborah</au><au>Wilson, Carlene</au><au>Osborne, Joanne M</au><au>Cole, Stephen R</au><au>Flight, Ingrid</au><au>Young, Graeme P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Behavioural and demographic predictors of adherence to three consecutive faecal occult blood test screening opportunities: a population study</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2014-03-07</date><risdate>2014</risdate><volume>14</volume><issue>1</issue><spage>238</spage><epage>238</epage><pages>238-238</pages><artnum>238</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Social cognitive variables are often examined for their association with initial participation in colorectal cancer screening. Few studies have examined the association of these variables with adherence to multiple screening offers i.e., rescreening. This study aimed to describe patterns of participatory behaviour after three rounds of screening using faecal immunochemical tests (FIT) and to determine social cognitive, demographic and background variables predictive of variations in adherence.
Participants were 1,540 men and women aged 50 to 75 living in South Australia who completed a behavioural survey measuring demographic (for example, age, gender) and social cognitive variables relevant to FIT screening (for example, perceived barriers, benefits, self-efficacy). The survey was followed by three, free FIT screening offers mailed on an annual basis from 2008 to 2010. Patterns of participation after three screening rounds were described as one of five screening behaviours; 1) consistent re-participation (adherent with all screening rounds), 2) consistent refusal (adherent with no screening rounds), 3) drop out (adherent with earlier but not later rounds), 4) intermittent re-participation (adherent with alternate rounds) and 5) delayed entry (adherent with later but not initial round(s)). Univariate (Chi Square and Analysis of Variance) and multivariate (Generalised Estimating Equations) analyses were conducted to determine variables predictive of each category of non-adherence (those that did not participate in every screening offer, groups 2, 3, 4 and 5) relative to consistent re-participation.
Significant social cognitive predictors of non-adherence were; less self-efficacy (drop out and consistent refusal), greater perceived barriers (drop out) and lower levels of response efficacy (consistent refusal). Demographic predictors of non-adherence included; male gender (delayed entry), younger age (intermittent, delayed and consistent refusal), less frequent GP visits (intermittent re-participation) and 'ancillary only' private health insurance (drop out). Less satisfaction with screening at baseline predicted drop out, consistent refusal and delayed entry.
Different combinations of demographic and behavioural variables predicted different patterns of rescreening adherence. Rescreening interventions may benefit from a targeted approach that considers the different needs of the population subgroups. Satisfaction with past FOBT screening measured prior to the study screening offers was an important predictor of adherence.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>24606951</pmid><doi>10.1186/1471-2458-14-238</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Analysis Behavior Blood Cancer Colorectal cancer Colorectal Neoplasms - diagnosis Colorectal Neoplasms - psychology Early Detection of Cancer - psychology Early Detection of Cancer - statistics & numerical data Female Health Knowledge, Attitudes, Practice Health services Humans Male Middle Aged Multivariate Analysis Occult Blood Occult sciences Oncology, Experimental Participation Patient Compliance - psychology Patient Compliance - statistics & numerical data Patient Satisfaction Population Self Efficacy Social aspects South Australia Studies Variance analysis |
title | Behavioural and demographic predictors of adherence to three consecutive faecal occult blood test screening opportunities: a population study |
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