Generating EQ-5D-3L health utility scores from the Edinburgh Postnatal Depression Scale: a perinatal mapping study

Camacho, Elizabeth M.; Shields, Gemma E.; Chew-Graham, Carolyn A.; Eisner, Emily; Gilbody, Simon; Littlewood, Elizabeth; McMillan, Dean; Watson, Kylie; Fearon, Pasco; Sharp, Deborah J.

Abstract

Background
Perinatal depression (PND) describes depression experienced by parents during pregnancy or in the first year after a baby is born. The EQ-5D instrument (a generic measure of health status) is not often collected in perinatal research, however disease-specific measures, such as the Edinburgh Postnatal Depression Scale (EPDS) are widely used. Mapping can be used to estimate generic health utility index values from disease-specific measures like the EPDS.

Objective
To develop a mapping algorithm to estimate EQ-5D utility index values from the EPDS.

Methods
Patient-level data from the BaBY PaNDA study (English observational cohort study) provided 1068 observations with paired EPDS and EQ-5D (3-level version; EQ-5D-3L) responses. We compared the performance of six alternative regression model types, each with four specifications of covariates (EPDS score and age: base, squared, and cubed). Model performance (ability to predict utility values) was assessed by ranking mean error, mean absolute error, and root mean square error. Algorithm performance in 3 external datasets was also evaluated.

• Journal Article Type: Article
• Acceptance Date: Apr 11, 2023
• Online Publication Date: Apr 24, 2023
• Deposit Date: May 25, 2023
• Journal: The European Journal of Health Economics
• Print ISSN: 1618-7598
• Electronic ISSN: 1618-7601
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1007/s10198-023-01589-4
• Keywords: Health Policy; Economics, Econometrics and Finance (miscellaneous)
• Additional Information: Received: 30 January 2023; Accepted: 11 April 2023; First Online: 24 April 2023; : ; : All authors report no competing interests.