Evidence map›Paper›PMID 40597746›Full record

ArticleBMC medical research methodology2025

CASCADE: a community-engaged action model for generating rapid, patient-engaged decisions in clinical research.

Bridgette L Kelleher

Registry-linked trialAbstract read
In one paragraph

Article in BMC medical research methodology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05999448 (Optimizing a Personalized Health Approach for Virtually Treating High-risk Caregivers During COVID-19 and Beyond), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT05999448 naunknown statusnot on this map

Optimizing a Personalized Health Approach for Virtually Treating High-risk Caregivers During COVID-19 and Beyond

TypeinterventionalSponsorPurdue UniversityRan2023 to 2025Enrolled800ConditionsCaregivers, ParentsArmsAcceptance and Commitment Therapy (ACT), Culturally Informed Cognitive Behavioral Therapy (CICBT), Individual, Culturally Informed Cognitive Behavioral Therapy (CICBT), Group, Dialectical Behavioral Therapy (DBT), Durand Sleep Intervention
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Bridgette L KelleherDepartment of Psychological Sciences, Purdue University, 703 3rd Street, West Lafayette, IN, 47906, USA. bkelleher@purdue.edu.

Funding

Optimizing a Personalized Health Approach for Virtually Treating High-Risk Caregivers During COVID-19 and BeyondR01HD105502 · NICHD · PURDUE UNIVERSITY · PI KELLEHER, BRIDGETTE LYNNE · 2022 to 2024
$3.0M
NICHD NIH HHS R01 HD105502NIH HHS R01HD105502
6 · The paper itself

Abstract

backgroundIntegrating patient and community input is essential to the relevance and impact of patient-focused research. However, specific techniques for generating patient and community-informed research decisions remain limited. This manuscript describes a novel CASCADE method (Community-Engaged Approach for Scientific Collaborations and Decisions) that was developed and implemented to make actionable, patient-centered research decisions during a federally funded clinical trial.

methodsThe CASCADE method was developed to facilitate decision-making, combining techniques from a variety of past methodologies with new approaches that aligned with project constraints and goals. The final result was a series of procedures that spanned seven thematic pillars (1) identifying a shared, specific, and actionable goal; (2) centering community input; (3) integrating both pre-registered statistical analyses and exploratory "quests"; (4) fixed-pace scheduling, supported by technology; (5) minimizing opportunities for cognitive biases typical to group decision making; (6) centering diversity experiences and perspectives, including those of individual patients; (7) making decisions that are community-relevant, rigorous, and feasible. The final approach was piloted within an active clinical trial, with the primary goal of describing feasibility (participation, discussion topics, timing, quantity of outputs).

resultsThe inaugural CASCADE panel aimed to identify ways to improve an algorithm for matching patients to specific types of telehealth programs within an active, federally funded clinical trial. The panel was attended by 27 participants, including 5 community interest-holders. Data reviewed to generate hypotheses and make decisions included (1) pre-registered statistical analyses, (2) results of 12 "quests" that were launched during the panel to answer specific panelist questions via exploratory analyses or literature review, (3) qualitative and quantitative patient input, and (4) team member input, including by staff who represented the focal patient population for the clinical trial. CASCADE pillars were successfully integrated to generate 18 initial and 6 final hypotheses, which were translated to 19 decisional changes.

conclusionsThe CASCADE approach was an effective tool for rapidly, efficiently making patient-centered decisions during an ongoing, federally funded clinical trial. Opportunities for further development will include exploring best-practice structural procedures, enhancing greater opportunities for pre-panel input by community interest-holders, and determining how to best standardize CASCADE outputs.

trial registrationThe CASCADE procedure was developed in the context of NCT05999448.

Indexed as

Biomedical ResearchCommunity-Based Participatory ResearchDecision MakingPatient ParticipationClinical Trials as TopicHumansCASCADEClinical trialsCommunity-based participatory researchDecision makingDelphi panelPatient acceptabilityPatient engagementProject wellcast

Identifiers

PMID40597746
PMCPMC12211934

What OpenQuestion holds

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LicenceCC BY
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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.