Risk-based innovations in cancer screening and diagnosis: a discrete choice experiment to explore priorities of the UK public DOI Creative Commons
Rebecca A. Dennison, Stephen Morris, Reanna J. Clune

и другие.

BMJ Open, Год журнала: 2025, Номер 15(5), С. e093803 - e093803

Опубликована: Май 1, 2025

Objective To understand the importance and potential impact on uptake of different attributes risk-based innovations in context risk-stratified healthcare for cancer screening symptomatic diagnosis. Design The online survey comprised a discrete choice experiment (DCE) which participants chose between two risk assessment options or to opt out stratification. There were six attributes: test method, type (genetic non-genetic), location, frequency, sensitivity specificity. Participants randomly allocated consider an asymptomatic context. Setting Members public UK. 1202 completed DCE. Outcome measures Conditional logistic regression latent class analysis informed modelling predicted preferences range with features. Results Overall, preferred assessments over opting prioritised sensitivity, method specificity also important. Genetic non-invasive tests favoured. With 80% better, would be more likely take up than not. Comparing contexts, 65% 73% very participate regardless innovation used, 29% 13% might depending A minority showed strong dislike innovations, particularly within screening. Conclusions are high levels support healthcare, especially referral decision-making using genetic tests. Optimising is needed engage those whose participation contingent methods performance metrics.

Язык: Английский

Risk-based innovations in cancer screening and diagnosis: a discrete choice experiment to explore priorities of the UK public DOI Creative Commons
Rebecca A. Dennison, Stephen Morris, Reanna J. Clune

и другие.

BMJ Open, Год журнала: 2025, Номер 15(5), С. e093803 - e093803

Опубликована: Май 1, 2025

Objective To understand the importance and potential impact on uptake of different attributes risk-based innovations in context risk-stratified healthcare for cancer screening symptomatic diagnosis. Design The online survey comprised a discrete choice experiment (DCE) which participants chose between two risk assessment options or to opt out stratification. There were six attributes: test method, type (genetic non-genetic), location, frequency, sensitivity specificity. Participants randomly allocated consider an asymptomatic context. Setting Members public UK. 1202 completed DCE. Outcome measures Conditional logistic regression latent class analysis informed modelling predicted preferences range with features. Results Overall, preferred assessments over opting prioritised sensitivity, method specificity also important. Genetic non-invasive tests favoured. With 80% better, would be more likely take up than not. Comparing contexts, 65% 73% very participate regardless innovation used, 29% 13% might depending A minority showed strong dislike innovations, particularly within screening. Conclusions are high levels support healthcare, especially referral decision-making using genetic tests. Optimising is needed engage those whose participation contingent methods performance metrics.

Язык: Английский

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