Perceptions of Genetic Testing: A Mixed-Methods Study of Patients with Pulmonary Fibrosis and Their First-Degree Relatives
Bibliographic record
Abstract
Abstract Rationale Genetic testing is an emerging tool in interstitial lung disease (ILD) as several ILD subtypes have potential genetic causes or predispositions with resultant clinical implications. There is a need to understand the perceptions of patients and their first-degree relatives of genetic testing for ILD. Objectives The objective of this study was to investigate patients with ILD and their first-degree family members’ understanding of the genetic risks associated with ILD and their interest and/or concerns about genetic testing. Methods This mixed-methods study included patients with ILD and their first-degree relatives. Data were obtained from an online survey and three focus groups. Categorical data were reported with descriptive frequencies. Chi-square analyses were used to measure associations. Focus group discussions were transcribed, coded, and analyzed according to the grounded theory principle. Results A total of 188 respondents completed the survey; 119 patients, 52 first-degree relatives, and 17 who were both patients and who also reported being a first-degree relative to someone with ILD. Most (79%) patients had idiopathic pulmonary fibrosis. The majority of patients and first-degree relatives were unsure if there was a genetic cause, whereas 71% of those who were both patient and first-degree relative thought there could be a genetic cause to their ILD. Fifty-nine percent of respondents worried their family members could be affected, and 72% of respondents were interested in genetic testing. Interest in genetic testing was associated with sex (P = 0.03), post-secondary education (P = 0.047), and having a family member with ILD (P = 0.02). The primary motivators were understanding risk to family members and contributing to research. First-degree relatives were concerned about insurance issues (60%) and personal stress (60%) more often than patients (40% and 28%, respectively); 29% of first-degree relatives anticipated changing their health behavior based on results. Focus group themes included disease knowledge, understanding the role of genetics in ILD, testing concerns, and how to use genetic testing information. Conclusions This study provides insight into the perceptions of patients and first-degree relatives of ILD-related genetic testing. These findings inform the need for additional patient resources, yet a better understanding of the clinical applications of ILD genetic testing and how testing may impact diagnostics, therapeutics, and prognostication.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".