| Literature DB >> 35429393 |
Gemme Campbell-Salome1,2, Nicole L Walters1, Ilene G Ladd1, Amanda Sheldon3, Catherine Davis Ahmed3, Andrew Brangan1, Megan N McMinn1, Alanna K Rahm1, Marci L B Schwartz1, Eric Tricou1, Carla L Fisher2, Amy C Sturm1,4.
Abstract
Motivating at-risk relatives to undergo cascade testing for familial hypercholesterolemia (FH) is critical for diagnosis and lifesaving treatment. As credible sources of information, clinicians can assist in family communication about FH and motivate cascade testing uptake. However, there are no guidelines regarding how clinicians should effectively communicate with probands (the first person diagnosed in the family) and at-risk relatives. Individuals and families with FH can inform our understanding of the most effective communications to promote cascade testing. Guided by the extended parallel process model (EPPM), we analyzed the perspectives of individuals and families with FH for effective messaging clinicians can use to promote cascade testing uptake. We analyzed narrative data from interviews and surveys collected as part of a larger mixed-methods study. The EPPM was used to identify message features recommended by individuals and families with FH that focus on four key constructs (severity, susceptibility, response efficacy, self-efficacy) to promote cascade testing. Participants included 22 individuals from 11 dyadic interviews and 98 survey respondents. Participants described prioritizing multiple messages that address each EPPM construct to alert relatives about their risk. They illustrated strategies clinicians could use within each EPPM construct to communicate to at-risk relatives about the importance of pursuing diagnosis via cascade testing and subsequent treatment for high cholesterol due to FH. Findings provide guidance on effective messaging to motivate cascade testing uptake for FH and demonstrates how the EPPM may guide communication with at-risk relatives about genetic risk and motivate cascade testing broadly.Entities:
Keywords: Cascade testing; Familial hypercholesterolemia; Genetic testing; Health communication; Risk communication; extended parallel process model
Mesh:
Year: 2022 PMID: 35429393 PMCID: PMC9291357 DOI: 10.1093/tbm/ibac018
Source DB: PubMed Journal: Transl Behav Med ISSN: 1613-9860 Impact factor: 3.626
Participant characteristics
| Dyadic interviews |
| |
|---|---|---|
| Sex | Male (22.7%) | Female (77.3%) |
| Age ranges | 25–34 (18.2%) | 35–44 (13.6%) |
| Dyadic relationships | Sisters ( | Spouse ( |
| Education | High school/GED (22.7%) | Some College (22.7%) |
| Household income | $15−30,000 (4.5%) | $50−75,000 (13.6%) |
| Working for pay | Yes (50%) | No (50%) |
| FH diagnosis/risk status | Diagnosed (68.2%) | At risk (22.7%) |
| Insurance status | Private (86.4%) | Medicaid (4.5%) |
| Survey responses |
| |
| Participant type | Individual with FH from Geisinger ( | |
| Sex | Male (25.5%) | Female (74.5%) |
| Age | 14–80 ( | |
| Education | Some high school (2%) | High school/GED (10.2%) |
| Household income | <$25,000 (6.1%) | $25−50,000 (7.1%) |
| FH diagnosis/risk status | Diagnosed (95.9%) | At risk (1%) |
| Diagnostic journey | MyCode result (12.2%) | Genetic test (19.4%) |
FH familial hypercholesterolemia.
aDiagnostic journey refers to the way in which a participant learned that they have/likely have FH. In responding to this survey item, participants could choose more than one of the options listed in the table as contributing to their diagnosis for FH.
Fig. 1Key themes for applying the EPPM to clinicians’ risk communication.