Evidence map›Paper›PMID 36107464›Full record

ArticleHospital practice (1995)2022

Post-discharge early assessment with remote video link (PEARL) initiative for patients discharged from hospital medicine services.

Sagar B Dugani, Shangwe A Kiliaki, Megan L Nielsen, Trevor J Coons, Karen M Fischer, Riddhi S Parikh, Sandeep R Pagali, Anne Liwonjo, Darrell R Schroeder, Ivana T Croghan and 1 more

Abstract read
In one paragraph

Article in Hospital practice (1995), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Sagar B DuganiDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-7858-1317
Shangwe A KiliakiDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-0985-3248
Megan L NielsenDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-6031-2717
Trevor J CoonsDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-3674-0698
Karen M FischerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-5037-6100
Riddhi S ParikhDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-7205-8058
Sandeep R PagaliDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-0838-1026
Anne LiwonjoDivision of Hospital Internal Medicine, Mayo Clinic Health System, Lake City, MN, USA.ORCID 0000-0002-7802-4075
Darrell R SchroederDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-8591-5936
Ivana T CroghanDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-3464-3525
M Caroline BurtonDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-8565-1600

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Rural Patient Risks and Exposures for Diabetes ConTrol (Rural PREDICT)K23MD016230 · NIMHD · MAYO CLINIC ROCHESTER · PI DUGANI, CHANDRASAGAR · 2021 to 2025
$763k
NCATS NIH HHS UL1 TR002377NIMHD NIH HHS K23 MD016230
6 · The paper itself

Abstract

objectivesThe COVID-19 pandemic impacted the availability and accessibility of outpatient care following hospital discharge. Hospitalists (physicians) and hospital medicine advanced practice providers (HM-APPs) coordinate discharge care of hospitalized patients; however, it is unknown if they can deliver post-discharge virtual care and overcome barriers to outpatient care. The objective was to develop and provide post-discharge virtual care for patients discharged from hospital medicine services.

methodsWe developed the Post-discharge Early Assessment with Remote video Link (PEARL) initiative for HM-APPs to conduct a post-discharge video visit (to review recommendations) and telephone follow-up (to evaluate adherence) with patients 2-6 days following hospital discharge. Participants included patients discharged from hospital medicine services at an institution's hospitals in Rochester (May 2020-August 2020) and Austin (November 2020-February 2021) in Minnesota, US. HM-APPs also interviewed patients about their experience with the video visit and completed a survey on their experience with PEARL.

resultsOf 386 eligible patients, 61.4% were enrolled (n = 237/386) including 48.1% women (n = 114/237). In patients with complete video visit and telephone follow-up (n = 141/237), most were prescribed new medications (83.7%) and took them as prescribed (93.2%). Among five classes of chronic medications, patient-reported adherence ranged from 59.2% (narcotics) to 91.5% (anti-hypertensives). Patient-reported self-management of 12 discharge recommendations ranged from 40% (smoking cessation) to 100% (checking rashes). Patients reported benefit from the video visit (agree: 77.3%) with an equivocal preference for video visits over clinic visits. Among HM-APPs who responded to the survey (88.2%; n = 15/17), 73.3% reported benefit from visual contact with patients but were uncertain if video visits would reduce emergency department visits.

conclusionIn this novel initiative, HM-APPs used video visits to provide care beyond their hospital role, reinforce discharge recommendations for patients, and reduce barriers to outpatient care. The effect of this initiative is under evaluation in a randomized controlled trial.

Indexed as

COVID-19Hospital MedicineAftercareFemaleHumansMalePandemicsPatient Dischargeadvanced practice providersHospital medicinepost-discharge caretelemedicine

Identifiers

PMID36107464
PMCPMC9691619

What OpenQuestion holds

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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.