Evidence map›Paper›PMID 33111249›Full record

ArticleObesity surgery2021

Convergent Mixed Methods Exploration of Telehealth in Bariatric Surgery: Maximizing Provider Resources and Access.

Grace F Chao, Anne P Ehlers, Chad Ellimoottil, Oliver A Varban, Justin B Dimick, Dana A Telem

Open access · bronzeAbstract read
In one paragraph

Article in Obesity surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-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

5 citing papers in PubMed, 19 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

6 authors at 1 institution in 1 country.

Grace F ChaoNational Clinician Scholars Program, University of Michigan, 2800 Plymouth Road Building 14, Room G100, Ann Arbor, MI, 48109, USA. grace.f.chao@yale.edu.ORCID http://orcid.org/0000-0003-3133-9827
Anne P EhlersVeterans Affairs Ann Arbor, Ann Arbor, MI, USA.
Chad EllimoottilInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.
Oliver A VarbanDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Justin B DimickDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
Dana A TelemDepartment of Surgery, University of Michigan, Ann Arbor, MI, USA.
University of Michigan · US

Funding

Improving Video Visit Adoption by SurgeonsK08HS027632 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELLIMOOTTIL, CHANDY SKARIA · 2020 to 2024
$775k
AHRQ HHS K08 HS027632
6 · The paper itself

Abstract

backgroundTelehealth may be an important care delivery modality in reducing dropout from bariatric surgery programs which is reported globally at approximately 50%.

methodsIn this convergent mixed methods case study of a large, US healthcare system, we examine the impact of telehealth implementation in 2020 on pre-operative bariatric surgery visits and provider perspectives of telehealth use.

resultsWe find that telehealth was significantly associated with a 38% reduction in no-show rate compared with the prior year. Additionally, providers had positive experiences with regard to the appropriateness and feasibility of using telehealth in the pre-operative bariatric surgery process.

conclusionsTelehealth use in the pre-operative bariatric surgery process may lead to greater efficiency in healthcare resource utilization. Insurance providers and bariatric accreditation bodies globally should consider accepting telehealth visits and self-reported weights when determining coverage decisions to ensure access for patients.

Indexed as

BariatricsBariatric SurgeryObesity, MorbidTelemedicineHumansPatient Acceptance of Health CareBariatric surgeryTelehealth

Identifiers

PMID33111249
PMCPMC7591243
OpenAlexW3097097897

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.