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Welcome!
Community engagement in
public health interventions
for disadvantaged groups:
What's the evidence?
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• Participation in the webinar poll questions is voluntary
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• Enable engagement; stimulate discussion. This session is intended for
professional development. Some data may be used for program evaluation
and research purposes (e.g., exploring opinion change)
• Results may also be used to inform the production of systematic reviews
and overviews
Risks: None beyond day-to-day living
After Today
• The PowerPoint presentation and audio
recording will be made available
• These resources are available at:
– PowerPoint:
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– Audio Recording:
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/videos
3
What’s the evidence?
O’Mara-Eves A., Brunton G., Oliver S.,
Kavanagh J., Jamal F., & Thomas J. (2015).
The effectiveness of community engagement
in public health interventions for
disadvanted groups: A meta-analysis. BMC
Public Health, 15, 129.
http://healthevidence.org/view-
article.aspx?a=effectiveness-community-engagement-
public-health-interventions-disadvantaged-29020
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inform
Why use www.healthevidence.org?
1. Saves you time
2. Relevant & current evidence
3. Transparent process
4. Supports for EIDM available
5. Easy to use
A Model for Evidence-
Informed Decision Making
National Collaborating Centre for Methods and Tools. (revised 2012). A
Model for Evidence-Informed Decision-Making in Public Health (Fact
Sheet). [http://www.nccmt.ca/pubs/FactSheet_EIDM_EN_WEB.pdf]
Stages in the process of
Evidence-Informed Public Health
National Collaborating Centre for Methods and Tools. Evidence-Informe
Public Health. [http://www.nccmt.ca/eiph/index-eng.html]
Poll Question #2
Have you heard of PICO(S) before?
A. Yes
B. No
Searchable Questions Think “PICOS”
1. Population (situation)
2. Intervention (exposure)
3. Comparison (other group)
4. Outcomes
5. Setting
How often do you use Systematic Reviews
to inform a program/services?
A.Always
B.Often
C.Sometimes
D.Never
E.I don’t know what a systematic review is
Poll Question #3
Alison O’Mara-Eves
Senior Research
Officer, University
College London,
Institute of Education,
EPPI-Centre
Ginny Brunton
Senior Health
Researcher, University
College London,
Institute of Education,
EPPI-Centre
Do public health interventions
that engage the community
improve health-related outcomes
for disadvantaged groups?
Systematic review and meta-analysis
Alison O’Mara-Eves and Ginny Brunton
EPPI-Centre
Social Science Research Unit
Department of Social Science
UCL Institute of Education
University College London
HealthEvidence.ca Webinar
21st October 2016
• This project was funded by the UK National
Institute for Health Research (NIHR). The views
and opinions expressed by authors in this
presentation are those of the authors and do not
necessarily reflect those of the NIHR.
• Project conducted by a team of researchers at
the UCL Institute of Education, London School of
Economics, and University of East London.
• All authors declared no conflicts of interest.
Funding and conflicts of interest
O'Mara-Eves A, Brunton G,
McDaid D, Oliver S,
Kavanagh J, Jamal F, et
al.
Community engagement
to reduce inequalities in
health: a systematic
review, meta-analysis and
economic analysis.
Public Health Research
2013;1(4).
The 548 page report
1. The research topic
What is community engagement?
• Community engagement defined here as a:
– direct or indirect process of involving communities in
decision-making and/or in the planning, design,
governance and delivery of services,
– using methods of consultation, collaboration, and/or
community control.
• Takes many forms. Examples:
service user networks healthcare forums
volunteering courses delivered by trained peers
interactive websites for views and
opinions via surveys
public consultations
community coalitions
Health inequalities
• Socially determined differences in health
outcomes
• Causes are modifiable (e.g., socioeconomic
status, social exclusion) rather than biological
(e.g., genetic predisposition)
• Marmot Review of health inequalities in
England, ‘Fair Society, Healthy Lives’ (2010)
identified four key modifiable health risks:
– Smoking
– Alcohol abuse
– Substance abuse
– Obesity
Health inequalities: priority areas
Marmot Review also identified six policy
objectives:
1. giving children the best start in life,
2. enabling all children, young people and adults to
maximise their capabilities,
3. creating fair employment and good work for all,
4. ensuring a healthy standard of living for all,
5. developing healthy and sustainable places and
communities, and
6. strengthening the role and impact of health
prevention.
Community engagement and health
inequalities
• Community engagement is arguably
particularly suited for disadvantaged and
socially excluded groups
• It is proposed that community engagement:
– encourages social justice and can “give a voice
to the voiceless”
– can produce interventions that better meet
community needs (cultural competence; more
empathic approaches)
2. The broader project
• Patchwork of theories and conceptual
frameworks
• Unclear empirical evidence about
effectiveness and cost-effectiveness
• Much uncertainty about processes
The research problem
Sensitive searches
for systematic
reviews
Identified primary
studies within
reviews
Extracted data on
key concepts and
characteristics
Map of
interventions
Selected
interventions
targeting Marmot
priority areas for in-
depth review
Extracted
effectiveness data;
assessed risk of bias
Conducted
syntheses
Overview of process
In-depth review syntheses
1. Effectiveness
2. Processes
3. Economic
4. Theoretical
Sensitive searches
for systematic
reviews
Identified primary
studies within
reviews
Extracted data on
key concepts and
characteristics
Map of
interventions
(n = 361)
Selected
interventions
targeting Marmot
priority areas for in-
depth review
Extracted
effectiveness data;
assessed risk of bias
Results of:
Theory synthesis
Meta-analysis
Presentation coverage
3. Theory synthesis
Theory Synthesis Methods
• Many theories about why CE is important and
how it might work (or not!)
• We extracted data from included studies
– Key discussion pieces (‘background’ articles)
– Exemplar process evaluations
• We then grouped data and iteratively
developed themes
Discussion Pieces/Process Data Advisory Group Input
Conceptual Framework
Trials Data
Community Engagement in Interventions: Conceptual Framework
1. Empowerment: change is facilitated where the health
need is identified by the community and they mobilise
themselves into action
2. Collaboration or…
3. …consultation in intervention design: the views of
stakeholders are sought with the belief that the
intervention will be more appropriate to the
participants’ needs as a result
4. Lay-delivery: change is believed to be facilitated by
the credibility, expertise, or empathy that the
community member can bring to the delivery of the
intervention
Theories of change identified
in the theoretical synthesis
4. Meta-analysis
• Journal article: 23 pages
Results: Effectiveness studies (N = 131)
Countries
– 4% (n = 5) UK
– 86% (n = 113) USA
– 4% (n = 5) Canada
– 6% (n = 8) other OECD
Population/Health inequalities
– 43% (n = 56) ethnic minorities
– 26% (n = 34) low socioeconomic position
– 16% (n = 21) multiple health inequalities
Results: Health topic
0
2
4
6
8
10
12
14
16
18
18
14
13 13
12
8
7
6 6 6
5 5
4 4
3
2 2
1 1 1
Health Topics (N=131 studies)
Results: Outcome types
• Health behaviours (n=105)
e.g. breastfeeding, attend
cancer screening
• Health consequences
(n=38)
e.g. mortality, diagnosis
• Participant self-efficacy
(n=20)
• Participant social support
(n=7)
• Also a small number of
community outcomes and
‘engagee’ outcomes – not
meta-analysed
Results: Overall mean effects
*** p < .001
Statistical significance indicates the effect size estimate is significantly different from zero
Note. 95% CI = 95% confidence interval
n = number of effect sizes
τ2 = between studies variance
Heterogeneity
Outcome Pooled
effect size
estimate
95% C.I. n τ2 Q statistic I2
Health behaviours .33*** .26, .40 105 .093 604.62*** 82.80
Health consequences .16** .06, .27 38 .076 196.36*** 81.16
Participant self-efficacy .41** .16, .65 20 .278 480.44*** 96.05
Participant social
support
.44*** .23, .65 7 .067 42.67*** 85.94
In general, interventions
are effective
Variation amongst
studies needs to be
explained
• Conducted moderator and regression analyses
• Most of the analyses conducted on health
behaviour outcomes only because of small
number of data points
Attempts to explain variation
Moderator of effect on health
behaviours: Theory of change
Other moderators tested
• Single component interventions tended to be
more effective at improving health behaviours
than multiple component interventions
• Universal interventions tended to have higher
effect size estimates for health behaviour
outcomes than targeted interventions
• Interventions conducted in non-community settings
tended to be more effective than those in community
settings for health behaviour outcomes
Features of the interventions
• Interventions that employed skill development or training strategies,
or which offered contingent incentives, tended to be more effective
than those employing educational strategies for health behaviour
outcomes
• Interventions involving peers, community members, or education
professionals tended to be more effective than those involving health
professionals for health behaviour outcomes
• Shorter interventions tended to be more effective than longer
interventions for health behaviour outcomes; this is probably
confounded by levels of exposure or intensity of contact with the
intervention deliverer
Participant characteristics
• Interventions tended to
be most effective in
adult populations and
less effective in general
population interventions
for health behaviour
outcomes
• Interventions tended to
be most effective for
health behaviour
outcomes for
participants classified as
disadvantaged due to
socioeconomic position
5. Conclusions
Conclusions
• Overall, public health interventions using
community engagement strategies for
disadvantaged groups are effective in terms of
health behaviours, health consequences,
participant self-efficacy, and participant
perceived social support
• These findings appear to be not due to
systematic methodological biases
Conclusions
• However, there is still unexplained variation
amongst the effect sizes
• “…the evidence suggests that community
engagement in public health is more likely to
require a ‘fit for purpose’ rather than ‘one size
fits all’ approach.”
• Consult with communities to determine
whether and how they want to be engaged in
public health activities
• Co-authors:
– David McDaid
– Sandy Oliver
– Josephine Kavanagh
– Farah Jamal
– Tihana Matosevic
– Angela Harden
– James Thomas
• Authors of and participants in the reviewed
studies
Acknowledgements
EPPI-Centre
Department of Social Science
UCL Institute of Education
University College London
18 Woburn Square
London WC1H 0NR
Tel +44 (0)20 7612 6397
Fax +44 (0)20 7612 6400
Email eppi@ioe.ac.uk
Web eppi.ioe.ac.uk/
The final report is available to download at
http://www.journalslibrary.nihr.ac.uk/phr/volume-1/issue-4
Further details a.o’mara-eves@ucl.ac.uk
A Model for Evidence-
Informed Decision Making
National Collaborating Centre for Methods and Tools. (revised 2012). A
Model for Evidence-Informed Decision-Making in Public Health (Fact
Sheet). [http://www.nccmt.ca/pubs/FactSheet_EIDM_EN_WEB.pdf]
Poll Question #4
The information presented today was
helpful
A. Strongly agree
B. Agree
C. Neutral
D. Disagree
E. Strongly disagree
What can I do now?
 Visit the website; a repository of over 4,600 quality-rated systematic
reviews related to the effectiveness of public health interventions. Health
Evidence™ is FREE to use.
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 Contact us to suggest topics or provide feedback.
info@healthevidence.org
Poll Question #5
What are your next steps?
A. Access the full text systematic review
B. Access the quality assessment for the
review on www.healthevidence.org
C. Consider using the evidence
D. Tell a colleague about the evidence
Thank you!
Contact us:
info@healthevidence.org
For a copy of the presentation please visit:
http://www.healthevidence.org/webinars.aspx

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Community engagement in public health interventions for disadvantaged groups: What's the evidence?

  • 1. Welcome! Community engagement in public health interventions for disadvantaged groups: What's the evidence? You will be placed on hold until the webinar begins. The webinar will begin shortly, please remain on the line.
  • 2. Poll Questions: Consent • Participation in the webinar poll questions is voluntary • Names are not recorded and persons will not be identified in any way • Participation in the anonymous polling questions is accepted as an indication of your consent to participate Benefits: • Results inform improvement of the current and future webinars • Enable engagement; stimulate discussion. This session is intended for professional development. Some data may be used for program evaluation and research purposes (e.g., exploring opinion change) • Results may also be used to inform the production of systematic reviews and overviews Risks: None beyond day-to-day living
  • 3. After Today • The PowerPoint presentation and audio recording will be made available • These resources are available at: – PowerPoint: http://www.slideshare.net/HealthEvidence – Audio Recording: https://www.youtube.com/user/healthevidence /videos 3
  • 4. What’s the evidence? O’Mara-Eves A., Brunton G., Oliver S., Kavanagh J., Jamal F., & Thomas J. (2015). The effectiveness of community engagement in public health interventions for disadvanted groups: A meta-analysis. BMC Public Health, 15, 129. http://healthevidence.org/view- article.aspx?a=effectiveness-community-engagement- public-health-interventions-disadvantaged-29020
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  • 7. Poll Question #1 How many people are watching today’s session with you? A. Just me B. 1-3 C. 4-5 D. 6-10 E. >10
  • 8. The Health Evidence™ Team Maureen Dobbins Scientific Director Heather Husson Manager Susannah Watson Project Coordinator Students: Emily Belita (PhD candidate) Jennifer Yost Assistant Professor Olivia Marquez Research Coordinator Liz Kamler Research Assistant Zhi (Vivian) Chen Research Assistant Research Assistants: Lina Sherazy Claire Howarth Rawan Farran
  • 10. Why use www.healthevidence.org? 1. Saves you time 2. Relevant & current evidence 3. Transparent process 4. Supports for EIDM available 5. Easy to use
  • 11. A Model for Evidence- Informed Decision Making National Collaborating Centre for Methods and Tools. (revised 2012). A Model for Evidence-Informed Decision-Making in Public Health (Fact Sheet). [http://www.nccmt.ca/pubs/FactSheet_EIDM_EN_WEB.pdf]
  • 12. Stages in the process of Evidence-Informed Public Health National Collaborating Centre for Methods and Tools. Evidence-Informe Public Health. [http://www.nccmt.ca/eiph/index-eng.html]
  • 13. Poll Question #2 Have you heard of PICO(S) before? A. Yes B. No
  • 14. Searchable Questions Think “PICOS” 1. Population (situation) 2. Intervention (exposure) 3. Comparison (other group) 4. Outcomes 5. Setting
  • 15. How often do you use Systematic Reviews to inform a program/services? A.Always B.Often C.Sometimes D.Never E.I don’t know what a systematic review is Poll Question #3
  • 16. Alison O’Mara-Eves Senior Research Officer, University College London, Institute of Education, EPPI-Centre Ginny Brunton Senior Health Researcher, University College London, Institute of Education, EPPI-Centre
  • 17. Do public health interventions that engage the community improve health-related outcomes for disadvantaged groups? Systematic review and meta-analysis Alison O’Mara-Eves and Ginny Brunton EPPI-Centre Social Science Research Unit Department of Social Science UCL Institute of Education University College London HealthEvidence.ca Webinar 21st October 2016
  • 18. • This project was funded by the UK National Institute for Health Research (NIHR). The views and opinions expressed by authors in this presentation are those of the authors and do not necessarily reflect those of the NIHR. • Project conducted by a team of researchers at the UCL Institute of Education, London School of Economics, and University of East London. • All authors declared no conflicts of interest. Funding and conflicts of interest
  • 19. O'Mara-Eves A, Brunton G, McDaid D, Oliver S, Kavanagh J, Jamal F, et al. Community engagement to reduce inequalities in health: a systematic review, meta-analysis and economic analysis. Public Health Research 2013;1(4). The 548 page report
  • 21. What is community engagement? • Community engagement defined here as a: – direct or indirect process of involving communities in decision-making and/or in the planning, design, governance and delivery of services, – using methods of consultation, collaboration, and/or community control. • Takes many forms. Examples: service user networks healthcare forums volunteering courses delivered by trained peers interactive websites for views and opinions via surveys public consultations community coalitions
  • 22. Health inequalities • Socially determined differences in health outcomes • Causes are modifiable (e.g., socioeconomic status, social exclusion) rather than biological (e.g., genetic predisposition) • Marmot Review of health inequalities in England, ‘Fair Society, Healthy Lives’ (2010) identified four key modifiable health risks: – Smoking – Alcohol abuse – Substance abuse – Obesity
  • 23. Health inequalities: priority areas Marmot Review also identified six policy objectives: 1. giving children the best start in life, 2. enabling all children, young people and adults to maximise their capabilities, 3. creating fair employment and good work for all, 4. ensuring a healthy standard of living for all, 5. developing healthy and sustainable places and communities, and 6. strengthening the role and impact of health prevention.
  • 24. Community engagement and health inequalities • Community engagement is arguably particularly suited for disadvantaged and socially excluded groups • It is proposed that community engagement: – encourages social justice and can “give a voice to the voiceless” – can produce interventions that better meet community needs (cultural competence; more empathic approaches)
  • 25. 2. The broader project
  • 26. • Patchwork of theories and conceptual frameworks • Unclear empirical evidence about effectiveness and cost-effectiveness • Much uncertainty about processes The research problem
  • 27. Sensitive searches for systematic reviews Identified primary studies within reviews Extracted data on key concepts and characteristics Map of interventions Selected interventions targeting Marmot priority areas for in- depth review Extracted effectiveness data; assessed risk of bias Conducted syntheses Overview of process
  • 28. In-depth review syntheses 1. Effectiveness 2. Processes 3. Economic 4. Theoretical
  • 29. Sensitive searches for systematic reviews Identified primary studies within reviews Extracted data on key concepts and characteristics Map of interventions (n = 361) Selected interventions targeting Marmot priority areas for in- depth review Extracted effectiveness data; assessed risk of bias Results of: Theory synthesis Meta-analysis Presentation coverage
  • 31. Theory Synthesis Methods • Many theories about why CE is important and how it might work (or not!) • We extracted data from included studies – Key discussion pieces (‘background’ articles) – Exemplar process evaluations • We then grouped data and iteratively developed themes Discussion Pieces/Process Data Advisory Group Input Conceptual Framework Trials Data
  • 32. Community Engagement in Interventions: Conceptual Framework
  • 33. 1. Empowerment: change is facilitated where the health need is identified by the community and they mobilise themselves into action 2. Collaboration or… 3. …consultation in intervention design: the views of stakeholders are sought with the belief that the intervention will be more appropriate to the participants’ needs as a result 4. Lay-delivery: change is believed to be facilitated by the credibility, expertise, or empathy that the community member can bring to the delivery of the intervention Theories of change identified in the theoretical synthesis
  • 34. 4. Meta-analysis • Journal article: 23 pages
  • 35. Results: Effectiveness studies (N = 131) Countries – 4% (n = 5) UK – 86% (n = 113) USA – 4% (n = 5) Canada – 6% (n = 8) other OECD Population/Health inequalities – 43% (n = 56) ethnic minorities – 26% (n = 34) low socioeconomic position – 16% (n = 21) multiple health inequalities
  • 36. Results: Health topic 0 2 4 6 8 10 12 14 16 18 18 14 13 13 12 8 7 6 6 6 5 5 4 4 3 2 2 1 1 1 Health Topics (N=131 studies)
  • 37. Results: Outcome types • Health behaviours (n=105) e.g. breastfeeding, attend cancer screening • Health consequences (n=38) e.g. mortality, diagnosis • Participant self-efficacy (n=20) • Participant social support (n=7) • Also a small number of community outcomes and ‘engagee’ outcomes – not meta-analysed
  • 38. Results: Overall mean effects *** p < .001 Statistical significance indicates the effect size estimate is significantly different from zero Note. 95% CI = 95% confidence interval n = number of effect sizes τ2 = between studies variance Heterogeneity Outcome Pooled effect size estimate 95% C.I. n τ2 Q statistic I2 Health behaviours .33*** .26, .40 105 .093 604.62*** 82.80 Health consequences .16** .06, .27 38 .076 196.36*** 81.16 Participant self-efficacy .41** .16, .65 20 .278 480.44*** 96.05 Participant social support .44*** .23, .65 7 .067 42.67*** 85.94 In general, interventions are effective Variation amongst studies needs to be explained
  • 39. • Conducted moderator and regression analyses • Most of the analyses conducted on health behaviour outcomes only because of small number of data points Attempts to explain variation
  • 40. Moderator of effect on health behaviours: Theory of change
  • 41. Other moderators tested • Single component interventions tended to be more effective at improving health behaviours than multiple component interventions • Universal interventions tended to have higher effect size estimates for health behaviour outcomes than targeted interventions • Interventions conducted in non-community settings tended to be more effective than those in community settings for health behaviour outcomes
  • 42. Features of the interventions • Interventions that employed skill development or training strategies, or which offered contingent incentives, tended to be more effective than those employing educational strategies for health behaviour outcomes • Interventions involving peers, community members, or education professionals tended to be more effective than those involving health professionals for health behaviour outcomes • Shorter interventions tended to be more effective than longer interventions for health behaviour outcomes; this is probably confounded by levels of exposure or intensity of contact with the intervention deliverer
  • 43. Participant characteristics • Interventions tended to be most effective in adult populations and less effective in general population interventions for health behaviour outcomes • Interventions tended to be most effective for health behaviour outcomes for participants classified as disadvantaged due to socioeconomic position
  • 45. Conclusions • Overall, public health interventions using community engagement strategies for disadvantaged groups are effective in terms of health behaviours, health consequences, participant self-efficacy, and participant perceived social support • These findings appear to be not due to systematic methodological biases
  • 46. Conclusions • However, there is still unexplained variation amongst the effect sizes • “…the evidence suggests that community engagement in public health is more likely to require a ‘fit for purpose’ rather than ‘one size fits all’ approach.” • Consult with communities to determine whether and how they want to be engaged in public health activities
  • 47. • Co-authors: – David McDaid – Sandy Oliver – Josephine Kavanagh – Farah Jamal – Tihana Matosevic – Angela Harden – James Thomas • Authors of and participants in the reviewed studies Acknowledgements EPPI-Centre Department of Social Science UCL Institute of Education University College London 18 Woburn Square London WC1H 0NR Tel +44 (0)20 7612 6397 Fax +44 (0)20 7612 6400 Email eppi@ioe.ac.uk Web eppi.ioe.ac.uk/ The final report is available to download at http://www.journalslibrary.nihr.ac.uk/phr/volume-1/issue-4 Further details a.o’mara-eves@ucl.ac.uk
  • 48. A Model for Evidence- Informed Decision Making National Collaborating Centre for Methods and Tools. (revised 2012). A Model for Evidence-Informed Decision-Making in Public Health (Fact Sheet). [http://www.nccmt.ca/pubs/FactSheet_EIDM_EN_WEB.pdf]
  • 49. Poll Question #4 The information presented today was helpful A. Strongly agree B. Agree C. Neutral D. Disagree E. Strongly disagree
  • 50. What can I do now?  Visit the website; a repository of over 4,600 quality-rated systematic reviews related to the effectiveness of public health interventions. Health Evidence™ is FREE to use.  Register to receive monthly tailored registry updates AND monthly newsletter to keep you up to date on upcoming events and public health news.  Tell your colleagues about Health Evidence™: helping you use best evidence to inform public health practice, program planning, and policy decisions!  Follow us @Health Evidence on Twitter and receive daily public health review- related Tweets, receive information about our monthly webinars, as well as announcements and events relevant to public health.  Encourage your organization to use Health Evidence™ to search for and apply quality-rated review level evidence to inform program planning and policy decisions.  Contact us to suggest topics or provide feedback. info@healthevidence.org
  • 51. Poll Question #5 What are your next steps? A. Access the full text systematic review B. Access the quality assessment for the review on www.healthevidence.org C. Consider using the evidence D. Tell a colleague about the evidence
  • 52. Thank you! Contact us: info@healthevidence.org For a copy of the presentation please visit: http://www.healthevidence.org/webinars.aspx

Notas do Editor

  1. Poll question #4
  2. here’s a look at the team many involved in the work to keep HE current and maintained
  3. Health Evidence launched in 2005 comprehensive registry of reviews evaluating the effectiveness of public health and health promotion interventions provide over 90,000 visitors per year access to over 4,600 quality-rated systematic reviews links to full text, plain language summaries, and podcasts (where available) One of main goals of Health Evidence, in addition to making evidence re: effectiveness of PH interventions more accessible, is to make it easier for professionals to use evidence in decision making
  4. Model for Evidence-Informed decision making in PH consists of 5 components visible in this diagram Traditionally public health practitioners and decision makers do consider evidence about community health issues and local context, existing resources, and community and political climate in making decisions about programs and policies however, it has become apparent that a considering evidence about research may be more challenging As such the Health Evidence webinar series is designed to identify research evidence relevant to public health decisions
  5. The EIPH wheel illustrates the steps involved in evidence-informed practice The wheel is a guide for practitioners and decision makers to determine how to address a particular issue by systematically incorporating research evidence in the decision making process There are 7 steps in the EIPH process that starts with: Clearly defining the problem; Searching the research literature; Appraising the evidence you find; Synthesizing or summarizing the research on your issue; Adapting and interpreting the findings to your local context; Implementing the evidence or appropriate intervention; and Evaluating your implementation efforts. We will hear today about how (presenter) has worked through the first 4 steps, in order to help with the decision makers with the remainder of the 7 steps
  6. Poll question #4
  7. The research topic The broader project The focus of this presentation The results Discussion (30-45 mins)
  8. Just received peer reviewer comments, still classified as interim findings.
  9. Information-giving was not seen as an empowering type of engagement, since this approach does not explicitly facilitate any reflection of users' perspectives in the identification, design or delivery of an intervention.
  10. Marmot Review of health inequalities, ‘Fair Society, Healthy Lives’ (2010) recently identified the evidence relating to health inequalities in England
  11. Marmot Review of health inequalities, ‘Fair Society, Healthy Lives’ (2010) recently identified the evidence relating to health inequalities in England
  12. Signif diff from null effect
  13. Static version
  14. This should be a check-box answer (i.e. select all that apply)