Evidence map›Paper›PMID 29593355›Full record

Observational studyJournal of perinatology : official journal of the California Perinatal Association2018

Severe maternal morbidity and related hospital quality measures in Maryland.

Lawrence D Reid, Andreea A Creanga

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of perinatology : official journal of the California Perinatal Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Observational
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

2 authors.

Lawrence D ReidOffice of Maternal and Child Health Epidemiology, Maryland Department of Health, Baltimore, MD, USA. lawrence.reid@maryland.gov.ORCID 0000-0001-6878-3441
Andreea A CreangaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine hospital characteristics and quality metrics associated with severe maternal morbidity (SMM) in Maryland. STUDY

designA population-based observational study of 364,113 statewide delivery hospitalizations during 2010-2015 linked with socio-economic community measures and hospital characteristics and quality measures. Multivariable logistic regression models with generalized estimating equations estimated SMM adjusting for individual, community, and hospital-level factors and clustering within hospitals and residence zip codes.

resultsThe SMM prevalence was 197 per 10,000 deliveries. Adjusted SMM risk ratios were higher for younger (<20 years), older (35+ years), non-White non-Hispanic, unmarried, multiple substance users, women with multiple gestations, and chronic medical and mental health conditions than their counterparts. Communities with greater socio-economic disadvantage and hospitals with poorer patient experience and clinical care quality had higher rates of SMM.

conclusionAddressing socio-economic disparities and improving quality of care in delivery hospitals are key to reducing the SMM burden in Maryland.

Indexed as

MorbidityAdolescentAdultChildFemaleHospitalsHumansLogistic ModelsMarylandMaternal DeathMiddle AgedMultivariate AnalysisPatient DischargePregnancyPregnancy ComplicationsPrevalence

Identifiers

What OpenQuestion holds

Textmetadata
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.