Cancer communication research in the era of genomics and precision medicine: a scoping review.
Kimberly A KaphingstEmily PetersonJingsong ZhaoAnna GaysynskyAshley ElrickSoo Jung HongMelinda KrakowManusheela PokharelChelsea L RatcliffWilliam M P KleinMuin J KhouryWen-Ying Sylvia ChouPublished in: Genetics in medicine : official journal of the American College of Medical Genetics (2018)
Effective use of genetic and genomic data in cancer prevention and treatment depends on adequate communication with patients and the public. Although relevant empirical work has emerged, the scope and outcomes of this communication research have not been characterized. We conducted a comprehensive scoping review of recent published research (2010-2017) on communication of cancer-related genetic and genomic testing (CGT) information. Searches in six databases revealed 9243 unique records; 513 papers were included. Most papers utilized an observational quantitative design; fewer utilized an experimental design. More attention has been paid to outcomes of CGT results disclosure than to decision making regarding CGT uptake or the process of results disclosure. Psychosocial outcomes were most common across studies. This literature has a strong focus on BRCA1/2, with few papers focused on Lynch syndrome or next-generation technologies. Women, Caucasians, older adults, and those of higher socioeconomic status were overrepresented. Research gaps identified include the need for studies on the process of CGT communication; examining behavioral, decision making, and communication outcomes; and inclusion of diverse populations. Addressing these gaps can help improve the use of genomics in cancer control and reduce disparities in access to and use of CGT.
Keyphrases
- papillary thyroid
- decision making
- squamous cell
- copy number
- mental health
- end stage renal disease
- healthcare
- systematic review
- newly diagnosed
- emergency department
- ejection fraction
- squamous cell carcinoma
- big data
- physical activity
- peritoneal dialysis
- type diabetes
- childhood cancer
- electronic health record
- pregnant women
- gene expression
- machine learning
- prognostic factors
- lymph node metastasis
- chronic kidney disease
- health insurance
- glycemic control
- breast cancer risk
- smoking cessation
- meta analyses
- cervical cancer screening