Evidence map›Paper›PMID 29795320›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2018

The relative effects of patient and hospital factors on postpartum readmissions.

Mark A Clapp, Sarah E Little, Jie Zheng, Julian N Robinson, Anjali J Kaimal

Abstract readComparative StudyMulticenter Study
PubMed Publisher
In one paragraph

Article 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Risk factors for postpartum readmission among women after having a stillbirth.American journal of obstetrics & gynecology MFM · 2021
    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

5 authors.

Mark A ClappDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA. mark.clapp@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-5568-4444
Sarah E LittleDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA.
Jie ZhengDepartment of Health Policy and Management, Harvard School of Public Health, Boston, MA, USA.
Julian N RobinsonDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA.
Anjali J KaimalDepartment of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the relative effects of patient and hospital factors on a hospital's postpartum readmission rate. STUDY

designThis retrospective cohort study was conducted using State Inpatient Databases from California, Florida, and New York between 2004 and 2013. We compared patient and hospital characteristics among hospitals with low and high readmission rates using χ

resultsPatients in hospitals with low readmission rates were more likely to be white, to have private insurance and higher incomes, and to have fewer comorbidities. The patient comorbidities with the highest risk-adjusted readmission rates included hypertension (range, 2.14-3.04%), obesity (1.78-2.94%), preterm labor/delivery (2.50-2.60%), and seizure disorder (1.78-3.35%). Delivery complications were associated with increased risk-adjusted readmission rates. Compared to patient characteristics, hospital characteristics did not have a profound impact on readmission risk.

conclusionObstetric readmissions were more attributable to patient and demographic characteristics than to hospital characteristics. Readmission metric-based incentives may ultimately penalize hospitals providing high-quality care due to patient characteristics specific to their catchment area.

Indexed as

ComorbidityQuality of Health CareCaliforniaCohort StudiesDatabases, FactualFemaleFloridaHospital CostsHospitalsHumansIncidenceLogistic ModelsNew YorkPatient ReadmissionPostnatal CarePregnancy

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.