Evidence map›Paper›PMID 25425013›Full record

ArticleAdministration and policy in mental health2016

The "Critical" Elements of Illness Management and Recovery: Comparing Methodological Approaches.

Alan B McGuire, Lauren Luther, Dominique White, Laura M White, John McGrew, Michelle P Salyers

Abstract read
In one paragraph

Article in Administration and policy in mental health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Illness management and recovery in community practice.Psychiatric rehabilitation journal · 2016
    Article
  5. 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

6 authors.

Alan B McGuireRoudebush VA Medical Center, Indianapolis, IN, USA. abmcguir@iupui.edu.
Lauren LutherDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Dominique WhiteDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Laura M WhiteDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
John McGrewDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Michelle P SalyersDepartment of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.

Funding

Illness Mgt & Recovery Treatment Integrity Scale & Intervention DevelopmentR21MH096835 · NIMH · INDIANA UNIVERSITY INDIANAPOLIS · PI MCGUIRE, ALAN BENJAMIN · 2012 to 2013
$417k
NIMH NIH HHS R21 MH096835
6 · The paper itself

Abstract

This study examined three methodological approaches to defining the critical elements of Illness Management and Recovery (IMR), a curriculum-based approach to recovery. Sixty-seven IMR experts rated the criticality of 16 IMR elements on three dimensions: defining, essential, and impactful. Three elements (Recovery Orientation, Goal Setting and Follow-up, and IMR Curriculum) met all criteria for essential and defining and all but the most stringent criteria for impactful. Practitioners should consider competence in these areas as preeminent. The remaining 13 elements met varying criteria for essential and impactful. Findings suggest that criticality is a multifaceted construct, necessitating judgments about model elements across different criticality dimensions.

Indexed as

AftercareCurriculumGoalsRecovery of FunctionDisease ManagementHumansMental DisordersCritical elementsFidelityIllness management and recoveryImplementationSevere mental illness

Identifiers

PMID25425013
PMCPMC5015682

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.