Evidence map›Paper›PMID 28939568›Full record

ArticleBMJ open2017

Protocol for a realist review of complex interventions to prevent adolescents from engaging in multiple risk behaviours.

Christina Cooper, Monique Lhussier, Janet Shucksmith, Susan Mary Carr

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. A Rapid Realist Review of Quality Care Process Metrics Implementation in Nursing and Midwifery Practice.International journal of environmental research and public health · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors.

Christina CooperFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.
Monique LhussierFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.
Janet ShucksmithInstitute of Health and Social Care, University of Teesside, Middlesbrough, UK.
Susan Mary CarrFaculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.

Funding

Medical Research Council MR/K02325X/1
6 · The paper itself

Abstract

objectivesAdolescent risk behaviours are a key health concern. The purpose of this research is to gaina deeper understanding of how, why, for whom, and inwhat circumstances complex adolescent risk behaviourprevention programmes are most successful. METHODS AND ANALYSIS: To understand how adolescent risk behaviour prevention programmes work in a reallife context, a realist synthesis will be undertaken, operationalised in four phases. DATA ANALYSIS: A realist logic of analysis will be used to align data from each phase with context mechanism outcome configurations or specific elements thereof. Substantive theory will then be sought to understand and explain the findings. ETHICS AND DISSEMINATION: This study has been approved by the Ethics committee at Northumbria University, UK. Findings will be disseminated through knowledge exchange with stakeholders, publications in peer-reviewed journals, conference presentations, and formal and informal reports.

Indexed as

Adolescent BehaviorResearch DesignRisk-TakingAdolescentFemaleHumansMalePreventive Health ServicesYoung Adultadolescencepreventionrealist syntheisrisk behaviour

Identifiers

PMID28939568
PMCPMC5623505

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.