Evidence map›Paper›PMID 41291501›Full record

ArticleBMC pregnancy and childbirth2025

Mortality-weighted severe maternal morbidity: a novel approach to assessing maternal health outcomes.

Deborah Kilday, Drew Tatum, Michael Korvink, Kathy W Belk, Joseph Iv Beals, Ashley Finke, Raymond Perigard, Stephanie Martin, Richelle Marshall, Yue Jiang and 3 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Deborah KildayU.S. Department of Health & Human Services, Office of the Assistant Secretary for Health, Office on Women's Health, Rockville, MD, 20852, USA.
Drew TatumAdvisory Services, Premier Inc., 13520 Ballantyne Corporate Place, Charlotte, NC, 28277, USA.
Michael KorvinkAdvisory Services, Premier Inc., 13520 Ballantyne Corporate Place, Charlotte, NC, 28277, USA. michael_korvink@premierinc.com.
Kathy W BelkAdvisory Services, Premier Inc., 13520 Ballantyne Corporate Place, Charlotte, NC, 28277, USA.
Joseph Iv BealsAdvisory Services, Premier Inc., 13520 Ballantyne Corporate Place, Charlotte, NC, 28277, USA.
Ashley FinkeAdvisory Services, Premier Inc., 13520 Ballantyne Corporate Place, Charlotte, NC, 28277, USA.
Raymond PerigardAdvisory Services, Premier Inc., 13520 Ballantyne Corporate Place, Charlotte, NC, 28277, USA.
Stephanie MartinClinical Concepts in Obstetrics, Scottsdale, AZ, 85250, USA.
Richelle MarshallU.S. Department of Health & Human Services, Office of the Assistant Secretary for Health, Office on Women's Health, Rockville, MD, 20852, USA.
Yue JiangDepartment of Statistical Science, Duke University, Durham, NC, 27708, USA.
Joseph G IbrahimDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
John YehDepartment of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA, 02115, USA.
Dorothy A FinkU.S. Department of Health & Human Services, Office of the Assistant Secretary for Health, Office on Women's Health, Rockville, MD, 20852, USA.

Funding

The US Department of Health and Human Services Office on Women's Health Contract Number: 75P00120C00066.
6 · The paper itself

Abstract

objectiveThe aim of this study is to develop a robust mortality-weighted severe maternal morbidity (SMM) composite measure that provides increased clinical granularity by measuring the individual and combined risk of inpatient mortality across multiple SMM indicators. The enhanced metric better reflects the complexity gradient of individual patients through a weighted SMM (w-SMM) composite score expressed on a continuous scale.

methodsThis retrospective cohort study analyzed 7,174,412 inpatient deliveries from 2016 to 2023 extracted from the Premier Healthcare Database, an all-payer, nationally representative administrative database. Harm weights for each SMM indicator were calculated using the conditional probability of in-hospital maternal mortality given each SMM indicator. The resulting mortality-based harm weights were employed to combine individual SMM indicators into a composite index. The index was scaled to create the in-hospital w-SMM composite score, ranging from 0 to 1. Out-of-sample performance of the proposed w-SMM and established binary SMM (b-SMM) indices was evaluated using an 80:20 derivation-validation split framework.

resultsAn SMM indicator was identified in 96% of 433 inpatient maternal mortality cases in the study population. The incidence and crude mortality percentages varied by SMM indicator, with cardiac arrest/ventricular fibrillation and conversion of cardiac rhythm having the highest rates of mortality percentages (33% and 29%, respectively), and therefore, the highest severity weights. Approximately 21% of patients identified with an SMM indicator had multiple SMM indicators. The w-SMM composite score, scaled between 0 and 1, accounts for the specific additive risk of multiple indicators, with higher scores indicating higher mortality risk. The w-SMM demonstrated stronger association with in-hospital mortality than the b-SMM measure, with a precision-recall area under the curve (PR-AUC) of 0.269, compared to the current binary composite PR-AUC of 0.007.

conclusionThe mortality-weighted w-SMM index improves upon the binary SMM composite measure by accounting for the varying severity of individual and combined SMM indicators and can further serve as a more granular measure of in-hospital mortality risk. The w-SMM index can be used retrospectively to stratify high-risk patients, enhance risk adjustment models, and support comparative outcomes research that informs public health policy development, future research, policy decisions, and clinical practice.

Indexed as

Hospital MortalityMaternal HealthMaternal MortalityPregnancy ComplicationsAdultDatabases, FactualFemaleHumansPregnancyRetrospective StudiesRisk AssessmentSeverity of Illness IndexHarm-weightingIndexMaternal healthMaternal mortality riskSevere maternal morbidity

Identifiers

PMID41291501
PMCPMC12764106

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.