Women’s priorities towards ovarian cancer testing: a best–worst scaling study

ABSTRACT:

Objective

To investigate the importance of key characteristics relating to diagnostic testing for ovarian cancer and to understand how previous test experience influences priorities.

Design

Case 1 best–worst scaling embedded in an online survey.

Setting

Primary care diagnostic testing in England and Wales.

Participants

150 women with ovaries over 40 years old living in England and Wales.

Methods

We used best–worst scaling, a preference-based survey method, to elicit the relative importance of 25 characteristics relating to ovarian cancer testing following a systematic review. Responses were modelled using conditional logit regression. Subgroup analysis investigated variations based on testing history.

Main outcome measures

Relative impo

SUBMITTER: Hall R 

PROVIDER: S-EPMC9438192 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature