Development and testing of the Hereditary Diseases and Genetic Testing (HD-GT) scale
Notice bibliographique
Résumé
Despite the expanding research base on the genetic testing process, limited insight exists on how personal understandings of hereditary cancer as well as situational and contextual factors influence an individual’s decision-making prior to and following predictive testing for hereditary non-polyposis colorectal cancer (HNPCC). The failure of existing scales to detect psychosocial and behavioral difficulties in this population has led researchers to question the adequate sensitivity of these instruments. The purpose of this study was to develop and validate measures for evaluating the preparedness for and experiences during and following predictive testing for HNPCC. A grounded theory study of individuals from families with a confirmed HNPCC presence provided the data for item generation and scale construction. The Hereditary Diseases and Genetic Testing ( HD-GT ) scale consists of 8 scales designed to measure acceptance of hereditary-based diseases and engagement in the genetic testing process. Scale readability and content validity were assessed prior to data collection. The HD-GT scale was administered to a sample of individuals (N = 242; 141 carriers and 101 non-carriers) from families with a MSH2, MLH1 or MSH6 mutation. The Multitrait Analysis Program-Revised (MAP-R) evaluated data quality, and scoring and scaling assumptions. Preliminary findings support the logic of the psychometric structure of the HD-GT. The rating scale steps (0 to 4) seem to have meaningful divisions as evidenced by the response spread. The MAP-R analysis supported item-to-scale appropriateness, scale reliability (≥ .75) and pattern of scale correlations (internal consistency scores significantly higher than intrascale correlations). Study findings suggest that the family history of cancer does have a significant impact on decision-making regarding genetic testing. There are also indications that individuals place high value on having all potentially at-risk family members participate in genetic testing, but are often challenged trying to convince them to accept the need for testing. The HD-GT scale represents an initial effort to evaluate personal, situational and contextual factors influencing genetic testing decision-making. Study findings suggest that the subscales appear to be sensitive enough to measure the wide-range of psychosocial and behavioral implications of genetic testing. Further, findings have important implications for health care providers. If providers are to work effectively with HNPCC families they must have the appropriate knowledge, education and skills to recognize the features of HNPCC, take thorough client and family histories, provide support and coordinate care for these individuals.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».