Literature DB >> 12549813

The cost effectiveness of 5 interventions to increase mammography adherence in a managed care population.

Robert M Saywell1, Victoria L Champion, Terrell W Zollinger, Maltie Maraj, Celette Sugg Skinner, Kathleen A Zoppi, Carolyn M Muegge.   

Abstract

OBJECTIVE: To determine the cost effectiveness of 5 combinations of strategies for increasing adherence to mammography recommendations in a population of women between the ages of 50 and 85 years enrolled in a large midwestern health maintenance organization. STUDY
DESIGN: A randomized control trial comparing interventions believed to increase mammography adherence. PATIENTS AND METHODS: Intervention strategies included 5 combinations of physician recommendation, telephone, and in-person counseling. A total of 652 participants were randomly assigned to 1 of 6 intervention groups and 628 (95.9%) were available at 6-month follow-up. A logistic regression model with adherence as the dependent variable and group as the independent variable was used to test for significant differences between groups. A ratio of cost to improvement in mammogram adherence evaluated the cost effectiveness at 6 months.
RESULTS: All 5 interventions resulted in significantly higher rates of adherence compared to no intervention. However, when considering costs, only 1 emerged as the superior strategy for the overall study population. In-person counseling was the most cost-effective strategy overall, followed closely by in-person counseling and physician's letter intervention. For women contemplating mammography, the telephone contact and physician's letter combination was the most cost-effective intervention. For women not contemplating mammography, the physician's letter was superior. The physician's letter worked best with women who had previous mammograms. For women with no mammogram history, the in-person counseling and physician's letter combination was clearly superior.
CONCLUSIONS: The cost effectiveness of mammography screening interventions varies based on women's prior history of mammograms and their future intent. Further, managed care organization member characteristics can be used to determine the most cost-effective mammography screening intervention based on individual readiness.

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Year:  2003        PMID: 12549813

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  16 in total

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Authors:  Victoria Champion; Celette Sugg Skinner; Siu Hui; Patrick Monahan; Beth Juliar; Joanne Daggy; Usha Menon
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4.  Mammography screening trends: the perspective of African American women born pre/post World War II.

Authors:  Karen Patricia Williams; Athur Mabiso; Yun-Jia Lo; Louis A Penner
Journal:  J Natl Med Assoc       Date:  2010-06       Impact factor: 1.798

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Authors:  Jennifer M Gierisch; Jessica T DeFrank; J Michael Bowling; Barbara K Rimer; Jeanine M Matuszewski; David Farrell; Celette Sugg Skinner
Journal:  Am J Prev Med       Date:  2010-10       Impact factor: 5.043

6.  Staffing time required to increase cancer-screening rates through telephone support.

Authors:  Christina M Robinson; Michael L Beach; Mary Ann Greene; Andrea Cassells; Jonathan N Tobin; Allen J Dietrich
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7.  Evaluating a tailored intervention to increase screening mammography in an urban area.

Authors:  Bruce Allen; Shahrzad Bazargan-Hejazi
Journal:  J Natl Med Assoc       Date:  2005-10       Impact factor: 1.798

8.  A randomized controlled trial to increase cancer screening among attendees of community health centers.

Authors:  Richard G Roetzheim; Lisa K Christman; Paul B Jacobsen; Alan B Cantor; Jennifer Schroeder; Rania Abdulla; Seft Hunter; Thomas N Chirikos; Jeffrey P Krischer
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9.  Improving mammography screening among the medically underserved.

Authors:  Terry C Davis; Alfred Rademaker; Charles L Bennett; Michael S Wolf; Edson Carias; Cristalyn Reynolds; Dachao Liu; Connie L Arnold
Journal:  J Gen Intern Med       Date:  2013-12-24       Impact factor: 5.128

10.  Tailored interventions to promote mammography screening: a meta-analytic review.

Authors:  Stephanie J Sohl; Anne Moyer
Journal:  Prev Med       Date:  2007-06-23       Impact factor: 4.018

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