Evidence map›Paper›PMID 37963220›Full record

ArticleAnnals of medicine2023

Prenatal and postpartum depression diagnosis in a large health system: prevalence and disparities.

Abbey C Sidebottom, Marc Vacquier, Elizabeth LaRusso, Anna K Schulte, Amanda Nickel

Abstract read
In one paragraph

Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

5 authors.

Abbey C SidebottomAllina Health, Care Delivery Research, Minneapolis, MN, USA.ORCID 0000-0002-5852-3539
Marc VacquierAllina Health, Care Delivery Research, Minneapolis, MN, USA.ORCID 0000-0002-9248-1547
Elizabeth LaRussoAllina Health, Mental Health Clinic, Minneapolis, MN, USA.ORCID 0000-0003-2813-0934
Anna K SchulteAllina Health, Care Delivery Research, Minneapolis, MN, USA.ORCID 0000-0002-3382-9822
Amanda NickelChildren's of Minnesota Research Institute, Minneapolis, MN, USA.ORCID 0000-0002-9206-3943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/OBJECTIVES/

introductionDepression during pregnancy or postpartum carries the same risks as general depression as well as additional risks specific to pregnancy, infant health and maternal well-being. The purpose of this study is to document the prevalence of depression symptoms and diagnosis during pregnancy and in the first 3 months postpartum among a cohort of women receiving prenatal care in a large health system. Secondarily, we examine variability in screening results and diagnosis by race, ethnicity, language, economic status and other maternal characteristics during pregnancy and postpartum. PATIENTS/MATERIALS AND

methodsA retrospective study with two cohorts of patients screened for depression during pregnancy and postpartum. Out of 7807 patients with at least three prenatal care visits and a delivery in 2016, 6725 were screened for depression (87%) at least once during pregnancy or postpartum. Another 259 were excluded because of missing race data. The final sample consisted of 6523 prenatal care patients who were screened for depression; 4914 were screened for depression in pregnancy, 4619 were screened postpartum (0-3 months). There were 3010 screened during both periods who are present in both the pregnancy and postpartum cohorts. Depression screening results are from the Patient Health Questionnaire (PHQ-9) and diagnosis of depression was measured using ICD codes. For patients screened more than once during either time period, the highest score is used for analysis.

resultsApproximately, 11% of women had a positive depression screen as indicated by an elevated PHQ-9 score (>10) during pregnancy (11.3%) or postpartum (10.7%). Prevalence of depression diagnosis was similar in the two periods: 12.6% during pregnancy and 13.0% postpartum. A diagnosis of depression during pregnancy was most prevalent among women who were age 24 and younger (19.7%), single (20.5%), publicly insured (17.8%), multiracial (24.1%) or Native American (23.8%), and among women with a history of depression in the past year (58.9%). Among women with a positive depression screen, Black women were less than half as likely as White women to receive a diagnosis in adjusted models (AOR 0.40, CI: 0.23-0.71,

conclusionsDepression symptoms and diagnoses differ by maternal characteristics during pregnancy with some groups at substantially higher risk. Efforts to examine disparities in screening and diagnosis are needed to identify reasons for variability in prenatal depression diagnosis between Black and White women.Key messagesWomen who were young, single, have public insurance, and women who identify as multiracial or non-Hispanic (NH) Native American were most likely to have a positive depression screen or a diagnosis for depression.After adjustment for confounders, NH Black women with a positive depression screen were about half as likely to have a diagnosis of depression during pregnancy as NH White women.Awareness of the differing prevalence of depression risk screening results, diagnoses and potential for variation in diagnosis may identify opportunities to improve equity in the delivery of essential mental health care to all patients.

Indexed as

Depression, PostpartumAdultEthnicityFemaleHumansPostpartum PeriodPregnancyPrevalenceRacial GroupsRetrospective StudiesYoung Adultdepression disparitiesPerinatal depressionpostpartum depression

Identifiers

PMID37963220
PMCPMC10836261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.