Evidence map›Paper›PMID 36275400›Full record

ArticleAJOG global reports2022

Postpartum care visits among commercially insured women in the United States.

Alexander J Butwick, Jason Bentley, Jamie Daw, Pervez Sultan, Anna Girsen, Ronald S Gibbs, Nan Guo

Abstract read
In one paragraph

Article in AJOG global reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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4 · The record

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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

7 authors.

Alexander J ButwickDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA (Drs Butwick, Sultan, and Guo).
Jason BentleyChildren's Hospital at Westmead Clinical School, The University of Sydney, Sydney, Australia (Dr Bentley).
Jamie DawDepartment of Health Policy and Management, Columbia University Mailman School of Public Health, New York City, NY (Dr Daw).
Pervez SultanDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA (Drs Butwick, Sultan, and Guo).
Anna GirsenDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Girsen and Gibbs).
Ronald S GibbsDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Girsen and Gibbs).
Nan GuoDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA (Drs Butwick, Sultan, and Guo).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo reduce postpartum morbidity and mortality, optimizing routine outpatient postpartum care has become a focus of national attention and a healthcare priority.

objectiveThis study aimed to examine the timing, content, and predictors of routine outpatient postpartum visit attendance within a large, commercially insured patient population. STUDY

designWe performed a retrospective cohort study using a national US database of commercial insurance beneficiaries with a delivery hospitalization between 2011 and 2015. We calculated the proportion of patients who had an outpatient postpartum visit within 8 weeks of hospital discharge. Using a multivariable logistic regression model, we identified independent predictors of an outpatient postpartum visit. To gain insight into the nature and extent of any postpartum medical or surgical morbidity, we also identified the most frequent International Classification of Diseases, Ninth Revision, Clinical Modification codes associated with postpartum visits.

resultsThe study cohort comprised 431,969 patients who underwent delivery hospitalization, of whom 257,727 (59.7%; 95% confidence interval, 59.5-59.8) had at least 1 outpatient postpartum visit within 8 weeks of hospital discharge. The distribution of postpartum visits was bimodal, occurring most frequently in the first week (23.2%) and sixth week (21.7%) after hospital discharge. The median period between hospital discharge and the postpartum visit was 28 days (interquartile range, 8-41 days). In our multivariable model, patient-level factors that were most strongly associated with a postpartum visit were preexisting medical morbidities, which included: thyroid disease (adjusted odds ratio, 1.62; 95% confidence interval, 1.40-1.52), seizure disorder (adjusted odds ratio, 1.50; 95% confidence interval, 1.33-1.70), chronic hypertension (adjusted odds ratio, 1.46; 95% confidence interval, 1.58-1.67), and psychiatric disease (adjusted odds ratio, 1.41; 95% confidence interval, 1.36-1.47). Between 29% and 42% of patients with preexisting medical morbidity and between 35% and 41% of patients who experienced peri- or postpartum complications did not attend a postpartum visit.

conclusionOur findings indicate that among a large, commercially-insured patient population, postpartum visit attendance was suboptimal. A high proportion with preexisting medical and peripartum morbidities was not evaluated within 8 weeks of hospital discharge. Multifaceted interventions and healthcare reform are suggested to address patients' concerns and healthcare needs after delivery.

Indexed as

epidemiologymaternal health servicesoutpatientspostnatal care

Identifiers

PMID36275400
PMCPMC9563203

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LicenceCC BY-NC-ND
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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.