Evidence map›Paper›PMID 35712267›Full record

ArticleFrontiers in public health2022

Utilizing Causal Loop Diagramming to Explore a Research and Evaluation Capacity Building Partnership.

Rochelle Tobin, Gemma Crawford, Jonathan Hallett, Bruce Maycock, Roanna Lobo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Rochelle TobinCollaboration for Evidence, Research and Impact in Public Health, School of Population Health, Curtin University, Perth, WA, Australia.
Gemma CrawfordCollaboration for Evidence, Research and Impact in Public Health, School of Population Health, Curtin University, Perth, WA, Australia.
Jonathan HallettCollaboration for Evidence, Research and Impact in Public Health, School of Population Health, Curtin University, Perth, WA, Australia.
Bruce MaycockEuropean Centre for Environment and Human Health, College of Medicine and Health, University of Exeter, Exeter, United Kingdom.
Roanna LoboCollaboration for Evidence, Research and Impact in Public Health, School of Population Health, Curtin University, Perth, WA, Australia.
Curtin University · AUUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capacity to engage in research, evaluation and evidence-informed decision-making supports effective public health policy and practice. Little is known about partnership-based approaches that aim to build capacity across a system or how to evaluate them. This study examines the impacts of a research and evaluation capacity building partnership called the Western Australian Sexual Health and Blood-borne Virus Applied Research and Evaluation Network (hereafter, SiREN). SiREN aims to strengthen capacity across a system of clinical and medical services and government and non-government organizations. These organizations are connected through their shared aim of preventing and managing sexually transmissible infections and blood-borne viruses. To examine SiREN, systems concepts and methods were used. Data were collected from SiREN organizational documents (

Indexed as

Capacity BuildingGovernmentAustraliaHumansResearch Personnelcausal loop diagramevaluation capacityevidence-informed decision-makingpartnershippublic healthresearch capacitysystems thinking

Identifiers

PMID35712267
PMCPMC9194391
OpenAlexW4281670787

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.