Evidence map›Paper›PMID 35023841›Full record

ArticleJMIR perioperative medicine2022

Evaluation of Telemedicine Use for Anesthesiology Pain Division: Retrospective, Observational Case Series Study.

Laleh Jalilian, Irene Wu, Jakun Ing, Xuezhi Dong, Joshua Sadik, George Pan, Heather Hitson, Erin Thomas, Tristan Grogan, Michael Simkovic and 1 more

Open access · diamondAbstract read
In one paragraph

Article in JMIR perioperative medicine, 2022. 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
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

11 authors at 3 institutions in 1 country.

Laleh JalilianDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0001-5083-516X
Irene WuDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-4780-8600
Jakun IngDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0001-6431-797X
Xuezhi DongDepartment of Anesthesiology, Critical Care, and Pain Management, Hospital for Special Surgery, New York, NY, United States.ORCID https://orcid.org/0000-0002-1468-5261
Joshua SadikDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-9371-893X
George PanDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0001-6809-2288
Heather HitsonUniversity of California Los Angeles Telehealth, University of California Los Angeles Health, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0001-9978-2572
Erin ThomasUniversity of California Los Angeles Telehealth, University of California Los Angeles Health, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-7938-4128
Tristan GroganDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0001-9471-2938
Michael SimkovicGould School of Law, University of Southern California, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0001-9044-1413
Nirav KamdarDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0003-4484-0397
University of California, Los Angeles · USHospital for Special Surgery · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increasing number of patients require outpatient and interventional pain management. To help meet the rising demand for anesthesia pain subspecialty care in rural and metropolitan areas, health care providers have used telemedicine for pain management of both interventional patients and those with chronic pain.

objectiveIn this study, we aimed to describe the implementation of a telemedicine program for pain management in an academic pain division in a large metropolitan area. We also aimed to estimate patient cost savings from telemedicine, before and after the California COVID-19 "Safer at Home" directive, and to estimate patient satisfaction with telemedicine for pain management care.

methodsThis was a retrospective, observational case series study of telemedicine use in a pain division at an urban academic medical center. From August 2019 to June 2020, we evaluated 1398 patients and conducted 2948 video visits for remote pain management care. We used the publicly available Internal Revenue Service's Statistics of Income data to estimate hourly earnings by zip code in order to estimate patient cost savings. We estimated median travel time and travel distance with Google Maps' Distance Matrix application programming interface, direct cost of travel with median value for regular fuel cost in California, and time-based opportunity savings from estimated hourly earnings and round-trip time. We reported patient satisfaction scores derived from a postvisit satisfaction survey containing questions with responses on a 5-point Likert scale.

resultsPatients who attended telemedicine visits avoided an estimated median round-trip driving distance of 26 miles and a median travel time of 69 minutes during afternoon traffic conditions. Within the sample, their median hourly earnings were US $28 (IQR US $21-$39) per hour. Patients saved a median of US $22 on gas and parking and a median total of US $52 (IQR US $36-$75) per telemedicine visit based on estimated hourly earnings and travel time. Patients who were evaluated serially with telemedicine for medication management saved a median of US $156 over a median of 3 visits. A total of 91.4% (286/313) of patients surveyed were satisfied with their telemedicine experience.

conclusionsTelemedicine use for pain management reduced travel distance, travel time, and travel and time-based opportunity costs for patients with pain. We achieved the successful implementation of telemedicine across a pain division in an urban academic medical center with high patient satisfaction and patient cost savings.

Indexed as

cost savingsCOVID-19pain managementpatient satisfactiontelemedicine

Identifiers

PMID35023841
PMCPMC9049645
OpenAlexW4200090882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.