379
Views
9
CrossRef citations to date
0
Altmetric
ARTICLES

Improving Family History Collection

, , , &
Pages 445-452 | Published online: 12 Mar 2015
 

Abstract

Family history is important for assessing risk of cancer. This study aimed to improve cancer family history communication and collection by training and motivating lay individuals to construct pedigrees. The authors' ultimate goal is to improve identification of familial cancer. Participants (n = 200) completed preintervention, postintervention, and 1-week follow-up surveys to assess pedigree construction. The intervention reviewed basic construction and interpretation of a pedigree for familial cancer. As a result of intervention, individuals reported more positive attitudes about collecting family history, were more likely to intend to speak to family and physicians about cancer risk, better understood a sample pedigree, and constructed more detailed pedigrees of their family history. At follow-up, 25% of the sample had spoken with their families about cancer risk. For those individuals who had not spoken with family, higher postintervention pedigree knowledge was associated with greater intentions to speak with family in the future. The intervention improved the communication and collection of pedigrees and communication about cancer risk, which could be used to improve the identification of individuals with familial cancers and awareness of family cancer risk.

Acknowledgments

The authors acknowledge Raquel Tobian, MSW and Michaela Ward, CNM, MS.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 215.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.