<scp>LGBTQ2S</scp>+ childbearing individuals and perinatal mental health: A systematic review
Bibliographic record
Abstract
BACKGROUND: The perinatal period may uniquely impact the mental health and wellbeing of lesbian, gay, bisexual, transgender, queer, and Two-Spirit (LGBTQ2S+) childbearing individuals. OBJECTIVES: To characterise and synthesise the experiences of LGBTQ2S+ childbearing individuals regarding perinatal mental health, including symptomatology, access to care and care-seeking. SEARCH STRATEGY: We conducted and reported a systematic review following PRISMA guidelines of eight databases (EMBASE, MEDLINE-OVID, CINAHL, Scopus, Web of Science: Core Collection, Sociological Abstracts, Social Work Abstract, and PsycINFO) from inception to 1 March 2021. SELECTION CRITERIA: Original, peer-reviewed research related to LGBTQ2S+ mental health was eligible for inclusion if the study was specific to the perinatal period (defined as pregnancy planning, conception, pregnancy, childbirth, and first year postpartum; includes miscarriages, fertility treatments and surrogacy). DATA COLLECTION AND ANALYSIS: Findings were synthesised qualitatively via meta-aggregation using the Joanna Briggs Institute System for the Unified Management, Assessment and Review of Information (JBI SUMARI), and the ConQual approach. MAIN RESULTS: Our systematic search included 26 eligible studies encompassing 1199 LGBTQ2S+ childbearing participants. Using the JBI SUMARI approach, we reported 65 results, which we synthesised as six key findings. The studies described unique considerations for LGBTQ2S+ individuals' perinatal mental health, including heteronormativity, cisnormativity, isolation, exclusion from traditional pregnancy care, stigma, and distressing situations from the gendered nature of pregnancy. Many participants described a lack of knowledge from healthcare providers related to care for LGBTQ2S+ individuals. In addition, LGBTQ2S+ individuals described barriers to accessing mental healthcare and gaps in health systems. Strategies to improve care include provider education, avoidance of gendered language, documentation of correct pronouns, trauma-informed practices, cultural humility training and tailored care for LGBTQ2S+ people. CONCLUSIONS: Pregnancy, postpartum, and the perinatal period uniquely impacts the mental health and wellbeing of LGBTQ2S+individuals, largely due to systems-level inequities and exclusion from perinatal care. Healthcare providers should implement the identified strategies to improve perinatal care and address inequities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".