Literature DB >> 26669601

Using clinical decision support as a means of implementing a universal postpartum depression screening program.

Holly Loudon1, Farida Nentin1, Michael E Silverman2.   

Abstract

A major barrier to the diagnosis of postpartum depression (PPD) includes symptom detection. The lack of awareness and understanding of PPD among new mothers, the variability in clinical presentation, and the various diagnostic strategies can increase this further. The purpose of this study was to test the feasibility of adding clinical decision support (CDS) to the electronic health record (EHR) as a means of implementing a universal standardized PPD screening program within a large, at high risk, population. All women returning to the Mount Sinai Hospital OB/GYN Ambulatory Practice for postpartum care between 2010 and 2013 were presented with the Edinburgh Postnatal Depression Scale (EPDS) in response to a CDS "hard stop" built into the EHR. Of the 2102 women who presented for postpartum care, 2092 women (99.5 %) were screened for PPD in response to a CDS hard stop module. Screens were missing on ten records (0.5 %) secondary to refusal, language barrier, or lack of clarity in the EHR. Technology is becoming increasingly important in addressing the challenges faced by health care providers. While the identification of PPD has become the recent focus of public health concerns secondary to the significant social burden, numerous barriers to screening still exist within the clinical setting. The utility of adding CDS in the form of a hard stop, requiring clinicians to enter a standardized PPD mood assessment score to the patient EHR, offers a sufficient way to address a primary barrier to PPD symptom identification at the practitioner level.

Entities:  

Keywords:  Clinical decision support (CDS); Electronic medical records (EMRs); Postpartum depression (PPD); Universal screening

Mesh:

Year:  2015        PMID: 26669601     DOI: 10.1007/s00737-015-0596-y

Source DB:  PubMed          Journal:  Arch Womens Ment Health        ISSN: 1434-1816            Impact factor:   3.633


  8 in total

1.  Efficacy and unintended consequences of hard-stop alerts in electronic health record systems: a systematic review.

Authors:  Emily M Powers; Richard N Shiffman; Edward R Melnick; Andrew Hickner; Mona Sharifi
Journal:  J Am Med Inform Assoc       Date:  2018-11-01       Impact factor: 4.497

Review 2.  Evidence-Based Interventions for Depressed Mothers and Their Young Children.

Authors:  Sherryl H Goodman; Judy Garber
Journal:  Child Dev       Date:  2017-02-03

3.  Medication use and drug-related problems among women at maternity wards-a cross-sectional study from two Norwegian hospitals.

Authors:  J Smedberg; M Bråthen; M S Waka; A F Jacobsen; G Gjerdalen; H Nordeng
Journal:  Eur J Clin Pharmacol       Date:  2016-03-29       Impact factor: 2.953

4.  Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women.

Authors:  Yiye Zhang; Shuojia Wang; Alison Hermann; Rochelle Joly; Jyotishman Pathak
Journal:  J Affect Disord       Date:  2020-09-30       Impact factor: 4.839

5.  The Power and Pitfalls of Big Data Research in Obstetrics and Gynecology: A Consumer's Guide.

Authors:  Amie Goodin; Chris Delcher; Chelsea Valenzuela; Xi Wang; Yanmin Zhu; Dikea Roussos-Ross; Joshua D Brown
Journal:  Obstet Gynecol Surv       Date:  2017-11       Impact factor: 2.347

6.  Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings.

Authors:  Joseph J Deferio; Tomer T Levin; Judith Cukor; Samprit Banerjee; Rozan Abdulrahman; Amit Sheth; Neel Mehta; Jyotishman Pathak
Journal:  JAMIA Open       Date:  2018-09-24

7.  Postpartum mood among universally screened high and low socioeconomic status patients during COVID-19 social restrictions in New York City.

Authors:  Michael E Silverman; Laudy Burgos; Zoe I Rodriguez; Omara Afzal; Alyssa Kalishman; Francesco Callipari; Yvon Pena; Ruth Gabay; Holly Loudon
Journal:  Sci Rep       Date:  2020-12-24       Impact factor: 4.379

8.  Association of Insurance Status With Provision of Recommended Services During Comprehensive Postpartum Visits.

Authors:  Kimberley Geissler; Brittany L Ranchoff; Michael I Cooper; Laura B Attanasio
Journal:  JAMA Netw Open       Date:  2020-11-02
  8 in total

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