Evidence map›Paper›PMID 39483443›Full record

ArticleFrontiers in health services2024

Participatory logic model for a precision child and youth mental health start-up: scoping review, case study, and lessons learned.

Kathleen Pajer, Christina Honeywell, Heather Howley, Nicole Sheridan, Will Affleck, Ivan Terekhov, Dhenuka Radhakrishnan

Abstract readScoping Review
In one paragraph

Article in Frontiers in health services, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Kathleen PajerDepartment of Psychiatry, Children's Hospital of Eastern Ontario (CHEO), Ottawa, ON, Canada.
Christina HoneywellDepartment of Psychiatry, Children's Hospital of Eastern Ontario (CHEO), Ottawa, ON, Canada.
Heather HowleyCHEO Research Institute, Ottawa, ON, Canada.
Nicole SheridanCHEO Research Institute, Ottawa, ON, Canada.
Will AffleckCHEO Research Institute, Ottawa, ON, Canada.
Ivan TerekhovCHEO Research Institute, Ottawa, ON, Canada.
Dhenuka RadhakrishnanCHEO Research Institute, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The precision child and youth mental health (PCYMH) paradigm has great potential to transform CYMH care and research, but there are numerous concerns about feasibility, sustainablity, and equity. Implementation science and evaluation methodology, particularly participatory logic models created with stakeholders, may help catalyze PCYMH-driven system transformation. This paper aims to: (1) report results of a PCYMH logic model scoping review; (2) present a case study illustrating creation of a participatory logic model for a PCYMH start-up; and (3) share the final model plus lessons learned. Methods: Results: Conclusions: This is the first study to report the development of a participatory logic model for a PCYMH program, detailing involvement of stakeholders from initial planning stages to the final consensus-based product. We learned that creating a participatory logic model is time- and labour-intensive and requires a multi-disciplinary team, but the process produced stakeholder-program relationships that enabled us to quickly build and implement the PCYMH start-up. Our processes and final model can inform similar efforts at other sites.

Indexed as

childrenevaluationimplementation scienceparticipatory logic modelprecision healthprecision mental healthyouth

Identifiers

PMID39483443
PMCPMC11524936

What Socratic 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 Socratic graph.