Evidence map›Paper›PMID 34074286›Full record

ArticleBMC health services research2021

Identifying individual hospital levels of maternal care using administrative data.

Sara C Handley, Molly Passarella, Sindhu K Srinivas, Scott A Lorch

Abstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Perinatal outcomes for rural obstetric patients and neonates in rural-located and metropolitan-located hospitals.Journal of perinatology : official journal of the California Perinatal Association · 2022
    Observational
  8. Article
  9. 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

4 authors.

Sara C HandleyDivision of Neonatology, Department of Pediatrics, The Children's Hospital of Philadelphia and the Perelman School of Medicine-University of Pennsylvania, Philadelphia, PA, USA. handleys@email.chop.edu.
Molly PassarellaDivision of Neonatology, Department of Pediatrics, The Children's Hospital of Philadelphia and the Perelman School of Medicine-University of Pennsylvania, Philadelphia, PA, USA.
Sindhu K SrinivasLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
Scott A LorchDivision of Neonatology, Department of Pediatrics, The Children's Hospital of Philadelphia and the Perelman School of Medicine-University of Pennsylvania, Philadelphia, PA, USA.

Funding

REPRODUCTIVE EPIDEMIOLOGY TRAINING GRANTT32HD007440 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BARNHART, KURT T · 1996 to 2020
$7.5M
Effect of Changing NICU Patient Volumes and Levels of Care on Neonatal OutcomesR01HD084819 · NICHD · STANFORD UNIVERSITY · PI LORCH, SCOTT A, PHIBBS, CIARAN S. · 2016 to 2018
$1.1M
NICHD NIH HHS T32 HD007440
6 · The paper itself

Abstract

backgroundThe goal of regionalized perinatal care, specifically levels of maternal care, is to improve maternal outcomes through risk-appropriate obstetric care. Studies of levels of maternal care are limited by current approaches to identify a hospital's level of care, often relying on hospital self-reported data, which is expensive and challenging to collect and validate. The study objective was to develop an empiric approach to determine a hospital's level of maternal care using administrative data reflective of the patient care provided and apply this approach to describe the levels of maternal care available over time.

methodsRetrospective cohort study of mother-infant dyads who delivered in California, Missouri, and Pennsylvania hospitals from 2000 to 2009. Linked mother-infant administrative records with an infant born at 24-44 weeks' gestation and a birth weight of 400-8000 g were included. Using the American College of Obstetricians and Gynecologists and the Society for Maternal Fetal Medicine descriptions of levels of maternal care, four levels were classified based on the appropriate location of care for patients with specific medical or pregnancy conditions. Individual hospitals were assigned a level of maternal care annually based on the volume of patients who delivered reflective of the four classified levels as determined by International Classification of Diseases and Current Procedural Terminology.

resultsBased on the included 6,895,000 mother-infant dyads, the obstetric hospital levels of maternal care I, II, III and IV were identified. High-risk patients more frequently delivered in hospitals with higher level maternal care, accounting for 8.9, 10.9, 13.8, and 16.9% of deliveries in level I, II, III and IV hospitals, respectively. The total number of obstetric hospitals decreased over the study period, while the proportion of hospitals with high-level (level III or IV) maternal care increased. High-level hospitals were located in more densely populated areas.

conclusionIdentification of the level of maternal care, independent of hospital self-reported variables, is feasible using administrative data. This empiric approach, which accounts for changes in hospitals over time, is a valuable framework for perinatal researchers and other stakeholders to inexpensively identify measurable benefits of levels of maternal care and characterize where specific patient populations receive care.

Indexed as

Maternal Health ServicesChildFemaleHospitalsHumansInfant, NewbornMissouriPennsylvaniaPregnancyRetrospective StudiesPerinatal careRegionalizationRisk-appropriate

Identifiers

PMID34074286
PMCPMC8171026

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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.