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Prev Med.
2005 Sep-Oct;41(3-4):707-19.
Related Articles
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Applying a stage model of behavior change to colon cancer screening.
Costanza ME
,
Luckmann R
,
Stoddard AM
,
Avrunin JS
,
White MJ
,
Stark JR
,
Clemow L
,
Rosal MC
.
Division of Hematology/Oncology, Department of Medicine, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA. Mary.Constanza@umassmed.edu
BACKGROUND: There has been limited use of stages of change models in characterizing colorectal cancer (CRC) screening. We assess the applicability of the Precaution Adoption Model (PAPM) by determining the distribution of stages of adoption and by elucidating differences among stages. METHODS: The study is based on 1394 responses (69%) to a survey mailed in 2002 to patients in a primary care population. Survey measures included: self-reported CRC screening, sociodemographic characteristics, health system characteristics, attitudes and beliefs about CRC screening, perceived vulnerability to CRC, and worry about CRC. The main outcome was PAPM stage of adoption of CRC screening based on the ACS preferred guidelines: colonoscopy every 10 years alone or the combination annual FOBT plus sigmoidoscopy every 5 years. RESULTS: 57% were up-to-date with at least one test; 36% were up-to-date with the ACS preferred guidelines; provider recommendation, positive family history of CRC, and positive decisional balance score were significantly associated with higher compared to lower PAPM stages. CONCLUSIONS: The combination of PAPM stage assignment and other factors provides useful information for designing tailored interventions. There are special challenges in developing and interpreting PAPM stage assignments when a guideline offers multiple pathways to adherence and recommends a combination of two tests as a preferred option.
Publication Types:
Research Support, U.S. Gov't, P.H.S.
MeSH Terms:
Aged
Colorectal Neoplasms/prevention & control*
Data Collection
Female
Health Behavior
Health Knowledge, Attitudes, Practice
Humans
Male
Mass Screening/utilization*
Middle Aged
Models, Theoretical*
Patient Compliance*
Regression Analysis
United States
PMID: 16171854 [PubMed - indexed for MEDLINE]
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