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Record W7161786172 · doi:10.82308/26649

Association between severe maternal morbidity and high health service use in the first postpartum year: population-based study in British Columbia, Canada

2025· dissertation· en· W7161786172 on OpenAlexaboutno aff
Lauren Tanner

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsCohortRetrospective cohort studyMedical recordPopulationHealth careHealth planPregnancyCohort study

Abstract

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Background: Severe maternal morbidity (SMM) includes life-threatening complications occurring during pregnancy, at delivery, or within 42 days thereafter, affecting 1.5% - 2.0% of births in Canada. Health service utilization patterns in the year following SMM are unknown. In this study, we compared high health service use from 43 days until 365 days postpartum in SMM-affected and unaffected pregnancies in British Columbia (BC), Canada. Objectives: 1) Assess associations between SMM and composite high health service use between days 43 and 365 post-delivery.2) Assess associations between SMM and use of each individual healthcare visit subtype. 3) Assess whether there is a difference in the association between SMM and high health service use based on presence or absence of (i) a 6-week postpartum visit; (ii) pre-existing chronic comorbidities; (iii) preterm birth; (iv) substance use; (v) multiple gestation; (vi) previous high health service use in the 2 years prior to delivery.Methods: This retrospective cohort study used de-identified, linked administrative datasets within Population Data BC including the BC Perinatal Database Registry, the Discharge Abstract Database (DAD), the Medical Services Plan (MSP), the National Ambulatory Care Reporting System (NACRS), the BC Consolidation file, the Chronic Disease Registry, and the BC Vital Statistics Deaths dataset. Our cohort included all hospital deliveries in BC residents from 2013 to 2020 captured from within the BC perinatal database. We included records with complete identifiers for individuals 18 or older, excluding maternal deaths during pregnancy, at delivery or within 42 days postpartum. SMM was a composite of diagnostic and procedure codes, defined using the Canadian perinatal surveillance system as occurring from obstetric hospitalizations at 20 weeks’ gestation until delivery and up to 42 days postpartum. High health service use was defined as being the top 5% in the cohort for any non-obstetric health service utilization (i.e., a composite of emergency department (ED) visits, hospitalizations, visits to a primary care provider (PCP) and specialist visits identified using the DAD, NACRS, and MSP). We then measured the association between SMM and high health service use using log-binomial regression with generalized estimating equations to account for clustering by individual with >1 pregnancy during the study period. We adjusted for maternal age, parity, income, urban vs rural/remote residence, attendance at 1st trimester antenatal visit, pre-existing chronic conditions within 2 years prior to delivery, tobacco use, and substance use during pregnancy. Analyses were repeated for specific types of health service use (ED, hospital, PCP, and specialist) and with each SMM subtype as the exposure of interest (sepsis, hemorrhagic, hypertensive, non-hypertensive cardiovascular conditions, surgical-related morbidity, intensive care unit admission, assisted ventilation, and other SMM). Stratified analyses were conducted according to the absence or presence of the following pregnancy-related factors: a 6-week postpartum visit, preterm birth (<37 weeks’ gestation), multiple gestation. We also stratified analysis according to indicators of general health captured within two years prior to delivery; namely, previous high health service use, chronic morbidity, tobacco use, and substance use. We conducted a sensitivity analysis by repeating analyses after excluding those who died or moved out of BC in the first postpartum year (n=2930). To assess the potential impact of Covid-19 on our results, we restricted births to those occurring in the pre-pandemic era (April 1st, 2013, to February 28th, 2019). Additionally, we assessed the 90th and 99th percentiles as alternative thresholds to define high health service use.Results: The cohort included 261,287 deliveries (5575 (2.1%) with SMM). SMM-affected individuals were twice as likely to have high health service use (> 15 visits) between 43 and 365 days postpartum; 511/5575 (9.2%) vs. 10890/255712 (4.3%); adjusted relative risk [aRR] = 1.96, 95% CI 1.78-2.17). This pattern was true for all health service types but most prominent for specialist visits (> 3 visits); 489/5575 (8.8%) with high specialist use with SMM vs. 9162/255712 (3.6%) with high specialist use without SMM; aRR = 2.21, 95% CI 1.99-2.45. Of the SMM subtypes, non-hypertensive cardiovascular SMM was most strongly linked with high overall health service use (33/154, 21.4% vs. 10890/255712, 4.3%; aRR= 5.18, 95% CI 3.28-8.16). There was marked heterogeneity in the association of SMM and high health service use for those with term versus without preterm birth (aRR= 2.02, 95% CI 1.80-2.28 vs. aRR = 1.46, 95% CI 1.22-1.74), for those without versus with prior chronic conditions (aRR= 2.34, 95% CI 2.03-2.70 versus aRR = 1.76, 95% CI 1.54-2.01), for those without versus with a visit to a specialist in the 2 years prior to delivery (aRR= 2.37, 95% CI 2.01-2.79 vs. aRR = 1.73, 95% CI 1.53-1.96), and for those without versus with high health service use in the 2 years prior to delivery (aRR = 2.07, 95% CI 1.83-2.33 vs. aRR = 1.34, 95% CI 1.11-1.62). There were no appreciable differences in our results after removing postpartum deaths and migrations out of BC from the cohort, or when restricting analyses to the pre-pandemic era. Using the 90th percentile to define high health service use yielded slightly weaker associations than the main analysis (95th percentile), while the 99th percentile produced wider CI due to fewer individuals meeting the threshold.Conclusion: Our study revealed high use of health services between 43 and 365 days after delivery in SMM compared with unaffected pregnancies. In this study we have quantified gaps and healthcare needs for women following SMM which can be leveraged to adapt postpartum health service provision

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.006
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.019
GPT teacher head0.279
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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