Evidence map›Paper›PMID 40206304›Full record

ArticleMayo Clinic proceedings. Digital health2023

Conceptualization of Remote Patient Monitoring Program for Patients with Complex Medical Illness on Hospital Dismissal.

Mariam Charkviani, Douglas A Simonetto, Desiree J Ahrens, Rachel H Amundson, Sarah J Bell, Joel J Busch, Natalie A Caine, Eric J Cleveland, Nayantara Coelho-Prabhu, Erin F Barreto and 9 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

19 authors.

Mariam CharkvianiDepartment of Medicine, Mayo Clinic, Rochester, MN.
Douglas A SimonettoDepartment of Medicine, Mayo Clinic, Rochester, MN.
Desiree J AhrensDepartment of Medicine, Mayo Clinic, Rochester, MN.
Rachel H AmundsonAdministrative Services, Mayo Clinic, Rochester, MN.
Sarah J BellDepartment of Nursing, Mayo Clinic, Rochester, MN.
Joel J BuschDepartment of Surgery, Mayo Clinic, Rochester, MN.
Natalie A CaineAdministrative Services, Mayo Clinic, Rochester, MN.
Eric J ClevelandAdministrative Services, Mayo Clinic, Rochester, MN.
Nayantara Coelho-PrabhuDepartment of Medicine, Mayo Clinic, Rochester, MN.
Erin F BarretoDepartment of Pharmacy, Mayo Clinic, Rochester, MN.
Craig E DanielsDepartment of Medicine, Mayo Clinic, Rochester, MN.
Meredith A DeZutterDepartment of Medicine, Mayo Clinic, Rochester, MN.
Jon O EbbertDepartment of Medicine, Mayo Clinic, Rochester, MN.
Andrea G KattahDepartment of Medicine, Mayo Clinic, Rochester, MN.
Christopher M KohlerDepartment of Nursing, Mayo Clinic, Rochester, MN.
Angela M LeuenbergerCenter for Digital Health, Mayo Clinic, Rochester, MN.
Dominick F PahlDepartment of Nursing, Mayo Clinic, Rochester, MN.
Karen J ReinschmidtDepartment of Strategy, Mayo Clinic, Rochester, MN.
Lindsey M PhilpotDepartment of Medicine, Mayo Clinic, Rochester, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the creation of a scalable framework for a Remote Patient Monitoring (RPM) program tied to a large medical practice. Patients and Methods: In July 2020, at Mayo Clinic Rochester, we initiated the process to combine human-centered design, health systems engineering, and clinical expertise to develop and refine RPM programs and explore new medical conditions where RPM could be beneficial. We report on the creation of the overarching RPM program, the development of a hybrid nursing model, the technology used for each population, and the lessons learned throughout the process. Results: Four pilot programs for hospitalized patients with cirrhosis, acute kidney injury (AKI), post-pancreatectomy, and post-gastroenterology (GI) procedures were launched. The 4 programs enrolled a range from 0 patients (post-GI procedures) to 91 patients over 5 months (AKI) for RPM programs ranging from 30 days to 96.5 days in average duration. Three of the programs continue enrollment (cirrhosis, AKI, and post-pancreatectomy), and one program was discontinued. Conclusion: RPM can uniquely facilitate the transition from hospital to home, decrease hospital length of stay, and optimize hospital capacity and staffing resources in select scenarios. To achieve positive results at the health care system level, RPM interventions require a change in the model of care. However, not all care models or medical conditions lend themselves to RPM, which should be explored in pilot testing.

Identifiers

PMID40206304
PMCPMC11975702

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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.