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Establishing a coherent and replicable measurement model of the Edinburgh Postnatal Depression Scale.

ABSTRACT: The 10-item Edinburgh Postnatal Depression Scale (EPDS) is an established screening tool for postnatal depression. Inconsistent findings in factor structure and replication difficulties have limited the scope of development of the measure as a multi-dimensional tool. The current investigation sought to robustly determine the underlying factor structure of the EPDS and the replicability and stability of the most plausible model identified. A between-subjects design was used. EPDS data were collected postpartum from two independent cohorts using identical data capture methods. Datasets were examined with confirmatory factor analysis, model invariance testing and systematic evaluation of relational and internal aspects of the measure. Participants were two samples of postpartum women in England assessed at three months (n?=?245) and six months (n?=?217). The findings showed a three-factor seven-item model of the EPDS offered an excellent fit to the data, and was observed to be replicable in both datasets and invariant as a function of time point of assessment. Some EPDS sub-scale scores were significantly higher at six months. The EPDS is multi-dimensional and a robust measurement model comprises three factors that are replicable. The potential utility of the sub-scale components identified requires further research to identify a role in contemporary screening practice.

SUBMITTER: Martin CR

PROVIDER: S-EPMC6008486 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Establishing a coherent and replicable measurement model of the Edinburgh Postnatal Depression Scale.

Martin Colin R CR Redshaw Maggie M

Psychiatry research 20180323

The 10-item Edinburgh Postnatal Depression Scale (EPDS) is an established screening tool for postnatal depression. Inconsistent findings in factor structure and replication difficulties have limited the scope of development of the measure as a multi-dimensional tool. The current investigation sought to robustly determine the underlying factor structure of the EPDS and the replicability and stability of the most plausible model identified. A between-subjects design was used. EPDS data were collec ...[more]

PMID: 29649675

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Project description:BackgroundAnxiety in the ante- and postnatal period is prevalent, often co-occurs with depression, and can have adverse consequences for the infant. Therefore, perinatal mental health screening programs should not only focus on depression but also on detecting anxiety. However, in many already implemented perinatal screening programs, adding extra screening instruments is not feasible. We examine the utility of a subscale of the Edinburgh Postnatal Depression Scale (EPDS) consisting of items 3, 4, and 5 (EPDS-3A) for detecting anxiety in new mothers.MethodsWe used confirmatory factor analysis (CFA) to confirm the presence of the EPDS-3A found in a previous study (n = 320) where exploratory factor analysis (EFA) was used. For the CFA we used a sample of new mothers (n = 442) with children aged 2-11 months recruited from the same population from which mothers for the previous study was recruited. Three models were tested and compared. Receiver operating characteristics of the EPDS-3A were investigated in relation to anxiety caseness status on the combined sample (N = 762). Sample weighing was used to match the dataset to the target population. Cross tabulation was used to investigate the proportion of anxiety cases identified by the EPDS-3A above those identified with the total EPDS.ResultsThe presence of the EPDS-3A was confirmed. An EFA-driven, two-dimensional 7-item model showed the best data fit with one factor representing the anxiety subscale consisting of items 3, 4, and 5. An EPDS-3A score of ≥ 5 was the most optimal for identifying cases of anxiety (sensitivity: 70.9; specificity: 92.2; AUC: 0.926). Further, we found that the EPDS-3A identifies an additional 2.5% of anxiety cases that would not have been identified with the total EPDS.ConclusionsThe EPDS-3A can be used as a time-efficient screening for possible anxiety in ante- and postnatal mothers. However, adding the EPDS-3A to routine screening with the total EPDS does not lead to a substantial increase in the number of women identified. In line with previous studies, this study confirms that the EPDS identifies anxiety in addition to depression. Therefore, assessment and treatment adjusted to the specific emotional difficulties is imperative.

Project description:BACKGROUND:The Edinburgh Postnatal Depression Scale (EPDS) is widely used in many countries to screen women for depression in the perinatal period. However, across studies the psychometric properties and cutoff scores of the EPDS have varied considerably; potentially due to different depression criteria and diagnostic systems being used. Therefore, we validated the Danish EPDS against a depression diagnosis according to both DSM-5 and ICD-10. Furthermore, we examined whether the Danish EPDS is multidimensional, as it has previously been suggested. METHODS:Women (N = 324) were recruited after routine screenings with the EPDS between 2 and 10 months postpartum (T1). At a subsequent home visit (T2), the EPDS and the Structured Clinical Interview for DSM-5 were administered. Diagnostic interviews were audio recorded to enable subsequent coding for ICD-10 diagnoses and inter-rater reliability analysis. A two-phase stratified sampling strategy with three sampling categories (EPDS-score at T1) was used. Using the distribution of 4931 T1 EPDS-scores from the same population from which we sampled the participants, we used sampling weighing to reweight the sample. The calculation of weights was based upon the mother's sampling category at T1 (i.e. the probability of being sampled) and the weights were applied when assessing the receiver operation characteristics (ROCs) of the EPDS. Sensitivity, specificity, positive predictive value, negative predictive value and area under the ROC curve were computed from the reweighted data for all relevant cutoff values. CIs were computed by embedding the calculations in a weighted logistic regression. Exploratory factor analysis was done using oblique rotation. Parallel analysis was used to assess the number of factors. RESULTS:A score of 11 or more was found to be the optimal cutoff for depression according to both DSM-5 and ICD-10 criteria. Factor analysis suggested that the Danish EPDS consists of three factors, including an 'anxiety factor'. CONCLUSIONS:The Danish EPDS has reasonable sensitivity and specificity at a cutoff score of 11 or more. There are no notable differences with respect to using ICD-10 or DSM-5 criteria for depression in terms of optimal cutoff. The variation in cutoff scores is likely to be due to cultural variations in the expression of depressive symptoms.

Dataset Information

Establishing a coherent and replicable measurement model of the Edinburgh Postnatal Depression Scale.

Publications

Establishing a coherent and replicable measurement model of the Edinburgh Postnatal Depression Scale.

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