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Personal factors influence use of cervical cancer screening services: epidemiological survey and linked administrative data address the limitations of previous research

dc.contributor.authorOlesen, Sarah C
dc.contributor.authorButterworth, Peter
dc.contributor.authorJacomb, Patricia
dc.contributor.authorTait, Robert J
dc.date.accessioned2015-12-16T04:49:12Z
dc.date.available2015-12-16T04:49:12Z
dc.date.issued2012-02-14
dc.date.updated2016-02-24T09:27:22Z
dc.description.abstractBACKGROUND National screening programs have reduced cervical cancer mortality; however participation in these programs varies according to women's personal and social characteristics. Research into these inequalities has been limited by reliance on self-reported service use data that is potentially biased, or administrative data that lacks personal detail. We address these limitations and extend existing research by examining rates and correlates of cervical screening in a large epidemiological survey with linked administrative data. METHODS The cross-sectional sample included 1685 women aged 44-48 and 64-68 years from the Australian Capital Territory and Queanbeyan, Australia. Relative risk was assessed by logistic regression models and summary Population Attributable Risk (PAR) was used to quantify the effect of inequalities on rates of cervical cancer screening. RESULTS Overall, 60.5% of women participated in screening over the two-year period recommended by Australian guidelines. Screening participation was associated with having children, moderate or high use of health services, employment, reported lifetime history of drug use, and better physical functioning. Conversely, rates of cervical screening were lower amongst women who were older, reliant on welfare, obese, current smokers, reported childhood sexual abuse, and those with anxiety symptoms. A summary PAR showed that effective targeting of women with readily observable risk-factors (no children, no partner, receiving income support payments, not working, obese, current smoker, anxiety, poor physical health, and low overall health service use) could potentially reduce overall non-participation in screening by 74%. CONCLUSIONS This study illustrates a valuable method for investigating the personal determinants of health service use by combining representative survey data with linked administrative records. Reliable knowledge about the characteristics that predict uptake of cervical cancer screening services will inform targeted health promotion efforts.
dc.description.sponsorshipThis work was supported by Australian National Health and Medical Research Council grants (Program Grant 179805 and Project Grant 157125). In addition, PB was funded by a fellowship from the Australian National Health and Medical Research Council and SCO, PJ and RJT by the Australian National University.en_AU
dc.identifier.issn1472-6963en_AU
dc.identifier.urihttp://hdl.handle.net/1885/95064
dc.publisherBioMed Central
dc.relationhttp://purl.org/au-research/grants/nhmrc/179805
dc.relationhttp://purl.org/au-research/grants/nhmrc/157125
dc.rights© 2012 Olesen 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 cited.
dc.sourceBMC Health Services Research
dc.source.urihttp://www.biomedcentral.com/1472-6963/12/34en_AU
dc.subjectadult
dc.subjectadult survivors of child abuse
dc.subjectage factors
dc.subjectaged
dc.subjectaustralian capital territory
dc.subjectearly detection of cancer
dc.subjectfamily characteristics
dc.subjectfemale
dc.subjecthumans
dc.subjectlife style
dc.subjectmiddle aged
dc.subjectnational health programs
dc.subjectnew south wales
dc.subjectpatient acceptance of health care
dc.subjectsocioeconomic factors
dc.subjectuterine cervical neoplasms
dc.subjectvaginal smears
dc.titlePersonal factors influence use of cervical cancer screening services: epidemiological survey and linked administrative data address the limitations of previous research
dc.typeJournal article
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.startpage34en_AU
local.contributor.affiliationOlesen, Sarah, College of Medicine, Biology and Environment, CMBE Research School of Population Health, Centre for Research on Ageing, Health and Wellbeing, The Australian National Universityen_AU
local.contributor.affiliationButterworth, Peter, College of Medicine, Biology and Environment, CMBE Research School of Population Health, Centre for Research on Ageing, Health and Wellbeing, The Australian National Universityen_AU
local.contributor.affiliationJacomb, Trish, College of Medicine, Biology and Environment, CMBE Research School of Population Health, Centre for Research on Ageing, Health and Wellbeing, The Australian National Universityen_AU
local.contributor.affiliationTait, Robert, College of Medicine, Biology and Environment, CMBE Research School of Population Health, National Institute for Mental Health Research, The Australian National Universityen_AU
local.contributor.authoruidOlesen, Sarah, u4135657en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor111712en_AU
local.identifier.ariespublicationf5625xPUB587en_AU
local.identifier.citationvolume12en_AU
local.identifier.doi10.1186/1472-6963-12-34en_AU
local.identifier.essn1472-6963en_AU
local.identifier.scopusID2-s2.0-84856980912
local.identifier.thomsonID000301930100002
local.publisher.urlhttp://www.biomedcentral.com/en_AU
local.type.statusPublished Versionen_AU

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