Literature DB >> 19624978

Methods to identify postnatal depression in primary care: an integrated evidence synthesis and value of information analysis.

C Hewitt1, S Gilbody, S Brealey, M Paulden, S Palmer, R Mann, J Green, J Morrell, M Barkham, K Light, D Richards.   

Abstract

OBJECTIVES: To provide an overview of methods to identify postnatal depression (PND) in primary care and to assess their validity, acceptability, clinical effectiveness and cost-effectiveness, to model estimates of cost, to assess whether any method meets UK National Screening Committee (NSC) criteria and to identify areas for future research. DATA SOURCES: Searches of 20 electronic databases (including MEDLINE, CINAHL, PsycINFO, EMBASE, CENTRAL, DARE and CDSR), forward citation searching, personal communication with authors and searching of reference lists. REVIEW
METHODS: A generalised linear mixed model approach to the bivariate meta-analysis was undertaken for the validation review with quality assessment using QUADAS. Within the acceptability review, a textual narrative approach was employed to synthesise qualitative and quantitative research evidence. For the clinical and cost-effectiveness reviews methods outlined by the Centre for Reviews and Dissemination and the Cochrane Collaboration were followed. Probabilistic models were developed to estimate the costs associated with different identification strategies.
RESULTS: The Edinburgh Postnatal Depression Scale (EPDS) was the most frequently explored instrument across all of the reviews. In terms of test performance, postnatally the EPDS performed reasonably well: sensitivity ranged from 0.60 (specificity 0.97) to 0.96 (specificity 0.45) for major depression only; from 0.31 (specificity 0.99) to 0.91 (specificity 0.67) for major or minor depression; and from 0.38 (specificity 0.99) to 0.86 (specificity 0.87) for any psychiatric disorder. Evidence from the acceptability review indicated that, in the majority of studies, the EPDS was acceptable to women and health-care professionals when women were forewarned of the process, when the EPDS was administered in the home, with due attention to training, with empathetic skills of the health visitor and due consideration to positive responses to question 10 about self-harm. Suggestive evidence from the clinical effectiveness review indicated that use of the EPDS, compared with usual care, may lead to reductions in the number of women with depression scores above a threshold. In the absence of existing cost-effectiveness studies of PND identification strategies, a decision-analytic model was developed. The results of the base-case analysis suggested that use of formal identification strategies did not appear to represent value for money, based on conventional thresholds of cost-effectiveness used in the NHS. However, the scenarios considered demonstrated that this conclusion was primarily driven by the costs of false positives assumed in the base-case model.
CONCLUSIONS: In light of the results of our evidence synthesis and decision modelling we revisited the examination of PND screening against five of the NSC criteria. We found that the accepted criteria for a PND screening programme were not currently met. The evidence suggested that there is a simple, safe, precise and validated screening test, in principle a suitable cut-off level could be defined and that the test is acceptable to the population. Evidence surrounding clinical and cost-effectiveness of methods to identify PND is lacking. Further research should aim to identify the optimal identification strategy, in terms of key psychometric properties for postnatal populations. In particular, research comparing the performance of the Whooley and help questions, the EPDS and a generic depression measure would be informative. It would also be informative to identify the natural history of PND over time and to identify the clinical effectiveness of the most valid and acceptable method to identify postnatal depression. Further research within a randomised controlled trial would provide robust estimates of the clinical effectiveness.

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Year:  2009        PMID: 19624978     DOI: 10.3310/hta13360

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  70 in total

1.  Antepartum depression severity is increased during seasonally longer nights: relationship to melatonin and cortisol timing and quantity.

Authors:  Charles J Meliska; Luis F Martínez; Ana M López; Diane L Sorenson; Sara Nowakowski; Daniel F Kripke; Jeffrey Elliott; Barbara L Parry
Journal:  Chronobiol Int       Date:  2013-09-03       Impact factor: 2.877

Review 2.  Instrument selection for randomized controlled trials: why this and not that?

Authors:  Kathie Records; Colleen Keller; Barbara Ainsworth; Paska Permana
Journal:  Contemp Clin Trials       Date:  2011-10-01       Impact factor: 2.226

3.  Comparative performance of Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale for screening antepartum depression.

Authors:  Qiuyue Zhong; Bizu Gelaye; Marta Rondon; Sixto E Sánchez; Pedro J García; Elena Sánchez; Yasmin V Barrios; Gregory E Simon; David C Henderson; Swee May Cripe; Michelle A Williams
Journal:  J Affect Disord       Date:  2014-03-26       Impact factor: 4.839

4.  Early versus late wake therapy improves mood more in antepartum versus postpartum depression by differentially altering melatonin-sleep timing disturbances.

Authors:  Barbara L Parry; Charles J Meliska; Ana M Lopez; Diane L Sorenson; L Fernando Martinez; Henry J Orff; Richard L Hauger; Daniel F Kripke
Journal:  J Affect Disord       Date:  2018-11-05       Impact factor: 4.839

5.  Postpartum depressive symptoms: the B-vitamin link.

Authors:  Christelle H Blunden; Hazel M Inskip; Sian M Robinson; Cyrus Cooper; Keith M Godfrey; Tony R Kendrick
Journal:  Ment Health Fam Med       Date:  2012-01

6.  Sustainable practice change: professionals' experiences with a multisectoral child health promotion programme in Sweden.

Authors:  Kristina Edvardsson; Rickard Garvare; Anneli Ivarsson; Eva Eurenius; Ingrid Mogren; Monica E Nyström
Journal:  BMC Health Serv Res       Date:  2011-03-22       Impact factor: 2.655

7.  Postnatal women's experiences of management of depressive symptoms: a qualitative study.

Authors:  Pauline Slade; C Jane Morrell; Anna Rigby; Karen Ricci; Janet Spittlehouse; Traolach S Brugha
Journal:  Br J Gen Pract       Date:  2010-11       Impact factor: 5.386

Review 8.  Screening for postnatal depression in primary care: cost effectiveness analysis.

Authors:  Mike Paulden; Stephen Palmer; Catherine Hewitt; Simon Gilbody
Journal:  BMJ       Date:  2009-12-22

Review 9.  There are no randomized controlled trials that support the United States Preventive Services Task Force Guideline on screening for depression in primary care: a systematic review.

Authors:  Brett D Thombs; Roy C Ziegelstein; Michelle Roseman; Lorie A Kloda; John P A Ioannidis
Journal:  BMC Med       Date:  2014-01-28       Impact factor: 8.775

Review 10.  The role of diet and nutritional supplementation in perinatal depression: a systematic review.

Authors:  Thalia M Sparling; Nicholas Henschke; Robin C Nesbitt; Sabine Gabrysch
Journal:  Matern Child Nutr       Date:  2016-02-03       Impact factor: 3.092

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