Evidence map›Paper›PMID 40642111›Full record

ArticleContemporary clinical trials communications2025

Design and methods of an adaptive trial to test comparative effectiveness of readmission reduction approaches following infection and sepsis hospitalizations (ACCOMPLISH).

Kristin Mayes, Victor B Talisa, Adelina Malito, Florian B Mayr, Kelly Williams, Kalpana Char, Richard Wadas, Elizabeth Lorenzi, Kert Viele, Rana Awdish and 3 more

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04829188 (Comparative Effectiveness of Readmission Reduction Interventions for Individuals with Sepsis or Pneumonia), which is not on this 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.

NCT04829188 nacompletednot on this map

Comparative Effectiveness of Readmission Reduction Interventions for Individuals with Sepsis or Pneumonia

TypeinterventionalSponsorUniversity of PittsburghRan2021 to 2024Enrolled1,288ConditionsSepsis, Pneumonia, Lower Resp Tract Infection, Covid19ArmsStructured Telephone Support (STS), Low-intensity Remote Patient Monitoring (RPM-Low), High-intensity Remote Patient Monitoring (RPM-High), Standard Response Team, Enhanced Response Team
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Kristin MayesUniversity of Pittsburgh Medical Center, Center for High-Value Health Care, Pittsburgh, PA, USA.
Victor B TalisaThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.
Adelina MalitoUniversity of Pittsburgh Medical Center, Center for High-Value Health Care, Pittsburgh, PA, USA.
Florian B MayrThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.
Kelly WilliamsUniversity of Pittsburgh Medical Center, Center for High-Value Health Care, Pittsburgh, PA, USA.
Kalpana CharUniversity of Pittsburgh Medical Center, Center for High-Value Health Care, Pittsburgh, PA, USA.
Richard WadasUniversity of Pittsburgh Medical Center, Community and Ambulatory Services Division, Pittsburgh, PA, USA.
Elizabeth LorenziBerry Consultants, LLC, Austin, TX, USA.
Kert VieleBerry Consultants, LLC, Austin, TX, USA.
Rana AwdishHenry Ford Hospital, Detroit, MI, USA.
Derek C AngusThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.
Chung-Chou Ho ChangThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.
Sachin YendeThe Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The months following hospitalization for sepsis and lower respiratory tract infection can often be very difficult for patients. Many will have subsequent clinical deterioration, which for some requires hospital readmission while, for others, transition to hospice care may be more appropriate. Unfortunately, there is a lack of high-quality evidence regarding how best to support patients in this period. Remote patient monitoring (RPM) technology can allow patients to remain at home yet be monitored for early signs of clinical deterioration. However, what should be monitored, and how any response should be coordinated, is unclear. We designed a pragmatic adaptive randomized clinical trial to determine the effect of four post-discharge RPM strategies comprising low vs. high intensity monitoring and standard versus enhanced care team response on 90-day hospital readmission rates. Methods: Adults admitted to the hospital with sepsis or lower respiratory tract infection (index admission) are recruited and randomized to usual care (structured telephonic support [STS]) or one of four post-discharge RPM care models in addition to STS. The primary outcome is home days, a composite endpoint of 90-day mortality and the number of days a patient spends at home within 90 days after discharge to home from the index admission. Hospital readmissions will be measured primarily by health insurance claims data. Secondary endpoints, such as functional status and health-related quality of life, will be measured at baseline and 90 days. An adaptive randomization process is run quarterly, improving patients' chances to be randomized to the highest-performing intervention arms. Discussion: The study evaluates different post-discharge monitoring and workforce strategies to increase home days. With a large, representative sample and pragmatic adaptive study design, this research aims to deliver key insights into effective remote discharge monitoring technology and workforce deployment, benefiting patients, providers, and payers. Trial registration: This trial is registered at clinicaltrials.gov (NCT04829188). https://clinicaltrials.gov/study/NCT04829188. Date of registration: January 4, 2021.

Indexed as

Comparative effectivenessInfectionOutcomesReadmissionsRemote monitoringSepsis

Identifiers

PMID40642111
PMCPMC12242444

What OpenQuestion holds

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Registered trials

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.