Evidence map›Paper›PMID 22414246›Full record

ArticleImplementation science : IS2012

Determinants of successful clinical networks: the conceptual framework and study protocol.

Mary Haines, Bernadette Brown, Jonathan Craig, Catherine D'Este, Elizabeth Elliott, Emily Klineberg, Elizabeth McInnes, Sandy Middleton, Christine Paul, Sally Redman and 2 more

Abstract readComparative Study
In one paragraph

Article in Implementation science : IS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Clinical networks: enablers of health system change.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2019
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  13. Identifying the processes of change and engagement from using a social network intervention for people with long-term conditions. A qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2019
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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

12 authors.

Mary HainesSax Institute, Haymarket, Australia. mary.haines@saxinstitute.org.au
Bernadette Brown
Jonathan Craig
Catherine D'Este
Elizabeth Elliott
Emily Klineberg
Elizabeth McInnes
Sandy Middleton
Christine Paul
Sally Redman
Elizabeth M Yano
Clinical Networks Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical networks are increasingly being viewed as an important strategy for increasing evidence-based practice and improving models of care, but success is variable and characteristics of networks with high impact are uncertain. This study takes advantage of the variability in the functioning and outcomes of networks supported by the Australian New South Wales (NSW) Agency for Clinical Innovation's non-mandatory model of clinical networks to investigate the factors that contribute to the success of clinical networks. METHODS/

designThe objective of this retrospective study is to examine the association between external support, organisational and program factors, and indicators of success among 19 clinical networks over a three-year period (2006-2008). The outcomes (health impact, system impact, programs implemented, engagement, user perception, and financial leverage) and explanatory factors will be collected using a web-based survey, interviews, and record review. An independent expert panel will provide judgements about the impact or extent of each network's initiatives on health and system impacts. The ratings of the expert panel will be the outcome used in multivariable analyses. Following the rating of network success, a qualitative study will be conducted to provide a more in-depth examination of the most successful networks. DISCUSSION: This is the first study to combine quantitative and qualitative methods to examine the factors that contribute to the success of clinical networks and, more generally, is the largest study of clinical networks undertaken. The adaptation of expert panel methods to rate the impacts of networks is the methodological innovation of this study. The proposed project will identify the conditions that should be established or encouraged by agencies developing clinical networks and will be of immediate use in forming strategies and programs to maximise the effectiveness of such networks.

Indexed as

Evidence-Based PracticeQuality of Health CareAustraliaEvaluation Studies as TopicHealth ResourcesHealth Services AccessibilityHumansModels, TheoreticalNew South WalesOutcome and Process Assessment, Health CarePerceptionPrimary Health CareQualitative ResearchQuality ImprovementRetrospective StudiesTreatment Outcome

Identifiers

PMID22414246
PMCPMC3328243

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.