Literature DB >> 32203201

How the "control-fate continuum" helps explain the genetic testing decision-making process: a grounded theory study.

Bettina M Zimmermann1, David Shaw2,3, Karl Heinimann4,5, Laura Knabben6, Bernice Elger2,7, Insa Koné2.   

Abstract

Genetic testing decision-making for cancer predisposition is inherently complex. Understanding the mechanisms and influencing factors of the decision-making process is essential for genetic counselling and has not yet been investigated in Switzerland. This study's aim is thus to provide a theory about the individual's decision-making process regarding genetic testing for cancer predispositions in order to provide medical geneticists and genetic counsellors with insights into the needs and expectations of counsellees. We interviewed at-risk individuals who underwent genetic counselling in a clinical setting in Switzerland, using a grounded theory approach. Based on the interview data, we propose that a control-fate continuum, which is part of the individuals' life philosophy, importantly influences the decision-making process. Those in need for control decide differently compared with those leaving their future to fate. Several psychosocial factors influence the position on the control-fate continuum: "looking for certainty"; "anticipating consequences"; "being socially influenced"; "simplifying risks"; and "deciding intuitively vs reflectively". The control-fate continuum theory gives insights into the possible reasons behind decision-making regarding genetic testing for cancer predispositions. It includes both acceptors and decliners of genetic testing. Our theory helps healthcare professionals offering genetic counselling to anticipate problems within at-risk families and adapting their services to people's needs.

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Year:  2020        PMID: 32203201      PMCID: PMC7381626          DOI: 10.1038/s41431-020-0602-3

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  1 in total

1.  Genetic Testing for Hereditary Breast Cancer: The Decision to Decline.

Authors:  V Brook White; Kendall K Walsh; Kimberly Showers Foss; Lisa Amacker-North; Stacy Lenarcic; Lindsay McNeely; Richard L White
Journal:  Am Surg       Date:  2018-01-01       Impact factor: 0.688

  1 in total
  2 in total

1.  Incomplete Penetrance of Population-Based Genetic Screening Results in Electronic Health Record.

Authors:  Gai Elhanan; Daniel Kiser; Iva Neveux; Shaun Dabe; Alexandre Bolze; William J Metcalf; James T Lu; Joseph J Grzymski
Journal:  Front Genet       Date:  2022-04-27       Impact factor: 4.772

2.  The use of heuristics in genetic testing decision-making: A qualitative interview study.

Authors:  Bettina Maria Zimmermann; David Martin Shaw; Bernice Elger; Insa Koné
Journal:  PLoS One       Date:  2021-11-30       Impact factor: 3.240

  2 in total

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