Evidence map›Paper›PMID 39037370›Full record

ArticleHepatology communications2024

Design, implementation, and impact of a cirrhosis-specific remote patient monitoring program.

Daniel D Penrice, Kamalpreet S Hara, Beatriz Sordi-Chara, Camille Kezer, Kathryn Schmidt, Blake Kassmeyer, Ryan Lennon, Jordan Rosedahl, Daniel Roellinger, Puru Rattan and 6 more

Abstract read
In one paragraph

Article in Hepatology communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

16 authors.

Daniel D PenriceDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-9357-9511
Kamalpreet S HaraDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0009-0008-2701-3043
Beatriz Sordi-CharaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-6205-7596
Camille KezerDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-8332-3312
Kathryn SchmidtDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Blake KassmeyerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Ryan LennonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Jordan RosedahlDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Daniel RoellingerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Puru RattanDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-7410-488
Katherine WilliamsCenter for Connected Care, Mayo Clinic, Rochester, Minnesota, USA.
Sara Kloft-NelsonCenter of Digital Health, Mayo Clinic, Rochester, Minnesota, USA.
Angela LeuenbergerCenter of Digital Health, Mayo Clinic, Rochester, Minnesota, USA.
Patrick S KamathDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0002-7888-1165
Vijay H ShahDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Douglas A SimonettoDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-4095-8144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemote patient monitoring (RPM) is an emerging focus in health care, and specialized programs may reduce medical costs, supplement in-office visits, and improve patient satisfaction. In this study, we describe the development, feasibility, and early outcomes of an RPM program for patients with decompensated cirrhosis.

methodsForty-six patients were offered enrollment at the time of hospital discharge in the cirrhosis RPM program (CiRPM), of which 41 completed at least 30 days of monitoring. Participants were mailed remote monitoring equipment and a tablet to be used for patient-reported outcomes. Alerts were continuously monitored by virtual nursing staff who could perform targeted interventions. A cohort of historical controls (n = 74) was created for comparison using inverse probability of treatment weighting.

resultsPatients were enrolled in the program for a mean of 83.9 days, with 28 (68%) completing the full 90-day program. Participants uploaded vital signs and responded to symptom-based questionnaires on 93% of the monitored days. On end-of-program surveys, over 75% of patients expressed satisfaction with the program. Gender, age, and MELD-Na were similar between CiRPM and weighted control groups. The 90-day readmission rate was 34% in CiRPM and 47% in weighted controls. In the CiRPM group, 12% of subjects had 2 or more admissions, compared to 37% in the weighted control group.

conclusionThis study demonstrates the feasibility of a cirrhosis-specific RPM program. Overall, patient satisfaction and utilization of the CiRPM was high. Future studies are needed to confirm the impact of RPM on the reduction of hospital readmissions in decompensated cirrhosis.

Indexed as

Liver CirrhosisPatient SatisfactionAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPatient ReadmissionPatient Reported Outcome MeasuresTelemedicine

Identifiers

PMID39037370
PMCPMC11265784

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.