Evidence map›Paper›PMID 32838271›Full record

ArticleAmerican journal of obstetrics & gynecology MFM2020

A multidisciplinary telemedicine model for management of coronavirus disease 2019 (COVID-19) in obstetrical patients.

Liberty G Reforma, Cassandra Duffy, Ai-Ris Y Collier, Blair J Wylie, Scott A Shainker, Toni H Golen, Mary Herlihy, Aisling Lydeard, Chloe A Zera

Open access · bronzeAbstract read
In one paragraph

Article in American journal of obstetrics & gynecology MFM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
2.3field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Liberty G ReformaDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA.
Cassandra DuffyDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA.
Ai-Ris Y CollierDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA.
Blair J WylieDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA.
Scott A ShainkerDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA.
Toni H GolenDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA.
Mary HerlihyDepartment of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA.
Aisling LydeardDepartment of Obstetrics, Gynecology, and Reproductive Biology, Harvard Medical School, Boston, MA.
Chloe A ZeraDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA.
Beth Israel Deaconess Medical Center · USHarvard University · US

Funding

REPRODUCTIVE SCIENTIST TRAINING PROGRAMK12HD000849 · NICHD · WASHINGTON UNIVERSITY · PI Danny J Schust · 1988 to 2026
$33.2M
NICHD NIH HHS K12 HD000849Wellcome Trust
6 · The paper itself

Abstract

Background: The COVID-19 pandemic caused by the SARS-CoV-2 has increased the demand for inpatient healthcare resources; however, approximately 80% of patients with COVID-19 have a mild clinical presentation and can be managed at home. Objective: This study aimed to describe the feasibility and clinical and process outcomes associated with a multidisciplinary telemedicine surveillance model to triage and manage obstetrical patients with known exposures and symptoms of COVID-19. Study Design: We implemented a multidisciplinary telemedicine surveillance model with obstetrical physicians and nurses to standardize ambulatory care for obstetrical patients with confirmed or suspected COVID-19 based on the symptoms or exposures at an urban academic tertiary care center with multiple hospital-affiliated and community-based practices. All pregnant or postpartum patients with COVID-19 symptoms, exposures, or hospitalization were eligible for inclusion in the program. Patients were assessed by means of regular nursing phone calls and were managed according to illness severity. Patient characteristics and clinical and process outcomes were abstracted from the electronic medical record. Results: A total of 135 patients were enrolled in the multidisciplinary telemedicine model from March 17 to April 19, 2020, of whom 130 were pregnant and 5 were recently postpartum. In this study, 116 of 135 patients (86%) were managed solely in the outpatient setting and did not require an in-person evaluation; 9 patients were ultimately admitted after ambulatory or urgent evaluations, and 10 patients were observed after hospital discharge. Although only 50% of the patients were tested secondary to limitations in ambulatory testing, 1 in 3 of those patients received positive results for SARS-CoV-2 (N=22, 16% of entire cohort). Patients were enrolled in the telemedicine model for a median of 7 days (interquartile range, 4-8) and averaged 1 phone call daily, resulting in 891 nursing calls and 20 physician calls over 1 month. Conclusion: A multidisciplinary telemedicine surveillance model for outpatient management of obstetrical patients with COVID-19 symptoms and exposures is feasible and resulted in rates of ambulatory management similar to those seen in nonpregnant patients. A centralized model for telemedicine surveillance of obstetrical patients with COVID-19 symptoms may preserve inpatient resources and prevent avoidable staff and patient exposures, particularly in centers with multiple ambulatory practice settings.

Indexed as

Ambulatory CareCOVID-19Infection ControlObstetricsPregnancy Complications, InfectiousAdultFemaleHumansModels, OrganizationalPatient Care TeamPregnancyQuality ImprovementSARS-CoV-2TelemedicineTertiary Care CentersUnited Statescoronavirus disease 2019implementation researchmultidisciplinaryoutpatient managementpandemicquality improvementsevere acute respiratory syndrome coronavirus 2telemedicine

Identifiers

PMID32838271
PMCPMC7381396
OpenAlexW3044040798

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.