Evidence map›Paper›PMID 37854438›Full record

ArticleGlobal mental health (Cambridge, England)2023

The Community Resiliency Model, an interoceptive awareness tool to support population mental wellness.

Linda Grabbe, Ingrid M Duva, William C Nicholson

Open access · goldAbstract read
In one paragraph

Article in Global mental health (Cambridge, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.1field-weighted citation impact, top 2% of its field
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

8 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

3 authors at 1 institution in 1 country.

Linda GrabbeNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-0606-7885
Ingrid M DuvaNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
William C NicholsonNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Emory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this article is to describe the Community Resiliency Model (CRM)®, a sensory-focused, self-care modality for mental well-being in diverse communities, and CRM's emerging evidence base and neurobiological underpinnings as a task-sharing intervention. Frieden's Health Impact Pyramid (HIP) is used as a lens for mental healthcare interventions and their public health impact, with CRM examples. CRM, a sensory awareness model for self-care and mental well-being in acute and chronic stress states, is supported by neurobiological theory and a growing evidence base. CRM can address mental wellness needs at multiple levels of the HIP and matches the task-sharing concept to increase access to mental health resources globally. CRM has the potential for making a significant population mental health impact as an easily disseminated, mental health, self-care modality; it may be taught by trained professionals, lay persons, and community members. CRM carries task-sharing to a new level: scalable and sustainable, those who learn CRM can share the wellness skills informally with persons in their social networks. CRM may alleviate mental distress and reduce stigma, as well as serve a preventive function for populations facing environmental, political, and social threats.

Indexed as

interoceptioninterventionmental healthpublic healthresiliencyself-carestresstask-sharingtraumawell-being

Identifiers

PMID37854438
PMCPMC10579656
OpenAlexW4385200084

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.