Mapping social networks to support smoking cessation in pregnancy - PowerPoint PPT Presentation

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Mapping social networks to support smoking cessation in pregnancy

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Mapping social networks to support smoking cessation in pregnancy Fiona Dobbie, Lesley Sinclair, School of Heath Sciences and Sport, University of Stirling – PowerPoint PPT presentation

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Title: Mapping social networks to support smoking cessation in pregnancy


1
Mapping social networks to support smoking
cessation in pregnancy
  • Fiona Dobbie, Lesley Sinclair,
  • School of Heath Sciences and Sport, University of
    Stirling
  • Andrew Radley, NHS Tayside

2
Content
  • Background
  • Aim
  • Study design
  • Key findings orientation phase
  • Intervention design
  • Feedback on proposed intervention
  • Next steps

3
The problem
  • SmokingĀ  in pregnancy is a harmful for both
    mother and child
  • Rates of smoking in pregnancy remain high
    particularly in communities with high levels of
    social disadvantage
  • 29 of pregnant women living in the most deprived
    areas of Scotland were current smokers in
    comparison with 4.5 living in least deprived
    area. (Information Service Division Scotland,
    2015)
  • UK Stop Smoking Services support pregnant women
    to quit.
  • But, outcomes are poor with only a small
    proportion of pregnant women who smoke make use
    of existing services more innovative approaches
    required (NICE, 2010)

4
Social Networks and Health
  • Our embeddedness in social networks affect our
    health and behavioural choices (Perkins et al
    2015, Hunter et al, 2015)
  • Attitude and smoking behaviour of partners,
    family and friends have been identified as
    barriers to cessation (Hiscock et al 2011, Prady
    et al 2011).
  • Studies have shown that reducing the number of
    smoking friends in a network can help quit
    attempts (Hitchman, et al, 2014)
  • Lorencatto et al (2012) emphasised the importance
    of social support BCTs to aid smoking cessation
    in pregnancy
  • Yet, few examples of how this link can be
    applied.

5
Study aim
  • To design an intervention to support pregnant
    women living in deprived areas stop smoking using
    social support from their social networks.

6
Study design
  • Three phases to the study
  • Orientation identifying the evidence base,
    existing theory, clarifying scope and purpose
  • Intervention design
  • Feedback on proposed intervention

7
Study design
  • Rapid literature review
  • identity theory and possible models/components of
    the intervention
  • Co-creation approach consultation with
  • pregnant women (n7)
  • members of their social networks (n8)
  • academics working in social network research and
    smoking cessation
  • Service providers in NHS, Local Authority, and
    pharmacy staff working in smoking cessation /
    tobacco control (workshop n25)

8
Key findings orientation phase
9
Rapid literature review
  • Searched for studies using the social network of
    pregnant women to facilitate any type of HBC
    during pregnancy and up to 6 weeks postpartum
  • All type of study design included
  • Limits
  • social network defined as friends and family
    only, not professionals
  • Articles written in English from 2000 onwards

10
Summary of paper search and selection process
for rapid review
11
Literature review
  • Six studies identified where social network
    members provided social support.
  • But, long term efficacy was poor and none of them
    mapped the social network to identify sources of
    support.
  • This highlights an important gap in social
    network health behaviour change theory.
  • Focus was to identify someone from the social
    network to offer social support, not how and why
    they were the most relevant person.

12
Literature review - existing theory
  • Who should provide what to whom and when?
    (Heaney and Israel, 2008)
  • who friends and family
  • what social support to stop smoking
  • whom pregnant women trying to stop smoking
  • when during pregnancy and three months post
    partum
  • how - ?
  • To measure effectiveness and access the target
    group intervention need to be delivered by
    service providers working with pregnant women
    (e.g. midwives, health visitors, pharmacists,
    smoking cessation advisors).

13
Literature review - existing theory
  • Heaney and Israel (2008) 5 typologies
  • Enhancing existing network ties
  • Developing new social network linkage
  • Enhancing networks through the use of natural
    helpers and community health workers
  • Enhancing networks through community building and
    problem solving
  • Combing strategies

14
Literature review - existing theory
  • Valentes (2012) taxonomy of SN interventions
  • identify individuals to promote behaviour change
  • segmentation identifying groups (cliques) who
    are targets for the intervention
  • Induction cascading of information e.g. word of
    mouth, also used as recruitment tool
  • Alteration seeks to alter the network to change
    behaviour by adding or deleting nodes

15
Literature review
  • Useful but requires mapping and analysis of
    social networks - ambitious and resource
    intensive for service providers
  • Raised our interest in network visualisation
    tools (such as concentric circles) and potential
    hypothesis
  • If pregnant women mapped their network and had a
    better understanding of network structure and
    resources within it would this influence who they
    picked to offer social support and how would this
    affect their smoking cessation attempt?

16
Intervention design
17
Concentric circles
  • Respondent name in centre
  • Add names of people they feel close to on post it
    notes
  • Circles indicate level of closeness
  • Add detail on
  • Relationship to them
  • Age
  • Employment status
  • Smoker or non-smoker
  • Frequency of contact

18
Concentric circles
  • Coloured dots added to identify
  • Who is/has helped them try to quit (yellow dot)
  • Anyone who is making difficult /made it difficult
    to quit? (red dot)
  • Anyone who they would like / would have liked to
    help them quit but didnt? (blue dot)

19
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20
Concentric circles
  • Maps then used as a tool to enable pregnant women
    to reflect on
  • Strong and weak sources of support
  • The type of support they receive
  • Identify ways they can optimise support from
    their social network
  • Strategies to manage non supportive members of
    their social network

21
Feedback on proposed intervention
22
Feedback from interviews with PW (N7)
  • Support for the idea
  • Good to visually see network and think about
    sources of support
  • Triggered new insights and ideas
  • Liked the visual aspect something they could
    refer back to and update
  • Easy to complete and did not take long (around 5
    minutes depending on network size)

23
Feedback from interviews
  • Points to consider
  • Network size varied, common to consist of family
    members with few friends
  • Lack of awareness of how social networks could
    support them - self reliance and will power
    common approach (one respondent added no dots)
  • Practicalities of completing the map language
    and literacy barriers

24
Feedback from practitioners
  • Potential to consolidate existing practice
  • Gives women insight and lets them make informed
    choices on network support
  • Can be used for other health behaviour change
  • But
  • Where does it fit? Who will administer it?
  • How often would it be used/revisited?
  • How do you measure impact? (realistic
    expectations)
  • Success dependant on confidence of women to
    engage with her network, but also who delivers it
    (need staff buy in)

25
Next steps
26
Progress to date
Feasibility/Piloting 2017-2020 Pilot 3-arm
randomised controlled trial process evaluation
to assess feasibility and acceptability
Evaluation 1. Assessing effectiveness 2.
Understanding change process 3. Assessing
cost-effectiveness
Development 2014-2016 Develop and co-produce
intervention theory, website, mobile app, user
manual and training resources.
Implementation 1. Dissemination 2. Surveillance
and monitoring 3. Long term follow-up
27
Research team advisory group
  • funded by CRUK/BUPA innovation award

28
Thank you
  • Fiona Dobbie
  • fiona.dobbie_at_stir.ac.uk
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