Evidence map›Paper›PMID 35562801›Full record

ArticleBMC medical informatics and decision making2022

The development of a patient decision aid to reduce decisional conflict about antidepressant use in pregnancy.

Neesha Hussain-Shamsy, Sarah Somerton, Donna E Stewart, Sophie Grigoriadis, Kelly Metcalfe, Tim F Oberlander, Carrie Schram, Valerie H Taylor, Cindy-Lee Dennis, Simone N Vigod

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Neesha Hussain-ShamsyInstitute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, 4th Floor, Toronto, ON, Canada.
Sarah SomertonGarry Hurvitz Centre for Brain and Mental Health, Hospital for Sick Children, 555 University Avenue, Toronto, ON, Canada.
Donna E StewartCentre for Mental Health, University Health Network, Toronto General Hospital Research Institute, 200 Elizabeth Street, Toronto, ON, Canada.
Sophie GrigoriadisTemerty Faculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON, Canada.
Kelly MetcalfeWomen's College Hospital and Research Institute, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada.
Tim F OberlanderBC Children's Hospital, 4500 Oak Street, Vancouver, BC, Canada.
Carrie SchramWomen's College Hospital and Research Institute, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada.
Valerie H TaylorDepartment of Psychiatry, University of Calgary, 2500 University Dr NW, Calgary, AB, Canada.
Cindy-Lee DennisLawrence S. Bloomberg Faculty of Nursing, University of Toronto, 155 College Street, Toronto, ON, Canada.
Simone N VigodInstitute of Health Policy, Management and Evaluation, University of Toronto, 155 College Street, 4th Floor, Toronto, ON, Canada. simone.vigod@wchospital.ca.
Women's College Hospital · CACanada Research Chairs · CAUniversity of Toronto · CAHospital for Sick Children · CAUniversity of British Columbia · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with moderate to severe depression in pregnancy must weigh potential risks of untreated or incompletely treated depression against the small, but uncertain risks of fetal antidepressant drug exposure. Clinical support alone appears insufficient for helping individuals with this complex decision. A patient decision aid (PDA) has the potential to be a useful tool for this population. The objective of our work was to use internationally recognized guidelines from the International Patient Decision Aids Standards Collaboration to develop an evidence-based PDA for antidepressant use in pregnancy.

methodsA three-phased development process was used whereby, informed by patient and physician perspectives and evidence synthesis, a steering committee commissioned a web-based PDA for those deciding whether or not to start or continue antidepressant treatment for depression in pregnancy (Phase 1). A prototype was developed (Phase 2) and iteratively revised based on feedback during field testing based on a user-centred process (Phase 3).

resultsWe developed a web-based PDA for people deciding whether to start or continue antidepressant use for depression in pregnancy. It has five interactive sections: (1) information on depression and treatment; (2) reasons to start/continue an antidepressant and to start/stop antidepressant medication; (3) user assessment of values regarding each issue; (4) opportunity to reflect on factors that contribute to decision making; and (5) a printable PDF that summarizes the user's journey through the PDA.

conclusionsThis tool, which exclusively focuses on depression treatment with Selective Serotonin Reuptake Inhibitors and Serotonin-Norepinephrine Reuptake Inhibitors, can be used by individuals making decisions about antidepressant use to treat depression during pregnancy. Limitations of the PDA are that it is not for other conditions, nor other medications that can be used for depression, and in its pilot form cannot be used by women who do not speak English or who have a visual impairment. Pending further study, it has the potential to enhance quality of care and patient experience.

Indexed as

Decision Support TechniquesPatient ParticipationAntidepressive AgentsDecision MakingFemaleHumansPregnancyAntidepressive AgentsAntidepressantDepressionOnlinePatient decision aidPregnancy

Identifiers

PMID35562801
PMCPMC9099318
OpenAlexW4280549969

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.