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Connecting Data for Action: Transforming Insights into Effective Strategies in Average Village

betsy avatar
betsy
18 diapositives · 296 Views · Sep 19, 2014

Explore how to link data sets for actionable plans in Average Village, aiming to improve child development predictors. Discover strategies at different levels - personal, interpersonal, organizational, community, and policy - from various data sources. Create measurable action plans for key issues like smoking in pregnancy, breastfeeding rates, and parenting skills, leveraging tailored interventions and community support.

#connecting data for action: transforming insights into effective strategies in average village #connecting data for action: transforming insights into effective strategies in average village ppt #powerpoint #presentation
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  1. How to link different sets of data up andHow to translate your data into specific measurable action plans

  2. “Average” Village • Average is a community of 100,000 people in Australia – it could be anywhere in the State and will be used for illustrative purposes. • Based on the Normaltown concept – by John Best, NSW Health.

  3. Average Village • Average village has an Early Years Action Group community meeting to discuss their poor AEDI results and decide to focus on three issues that they feel may be impacting on the child developmental levels in their community. • Child development predictors: • Low Birth Weight • Breastfeeding • Parenting Skills • Come up with something

  4. Need a plan – where to start? • Multiple levels (individual, family, workplace, community, state and federal). • Multiple data sources. • Multiple strategies and ideas.

  5. Multiple levels – Intervention design! • Intrapersonal (motivational, skill building) • Interpersonal (social norms and networks) • Organisational (health care, workplaces, schools) • Community (resources, Broken Windows) • Policy (local, state and federal laws)

  6. Multiple Data sources • Demographic / Social - Australian Bureau of Statistics. • International - WHO, Unicef, World Bank. • National - ABS, AIHW, Health and Aged Care, National Research Institutions. • State - Health Information Centre (DoH), Health Insurance Council, Other Govt. and NGOs. • Local Surveys and ad hoc data – AEDI, speech pathologist tracked clients, child care centre surveyed parents.

  7. Average Village: Intrapersonal(motivational, skill building, tailored interventions)

  8. Average Village: Interpersonal(Interventions targeting social norms & networks)

  9. Average Village: Organisational(Interventions in workplace, health system, schools)

  10. Average Village: Community(Social service advocacy, structural interventions)

  11. Average Village: Policy level(local, state, federal laws)

  12. Determinants of health status Global Environment Social Network Human Life Cycle Civil Society National Socio-Economic Environment Birth Death Ecological Footprint

  13. Reduce Smoking in PregnancyStrategy for Average Policy Community Organisational/Environmental Interpersonal Intrapersonal Cessation kit & counseling Materials inclusive of family Workplace support Multiple health providers Cigarette outlets

  14. Increase BreastfeedingStrategy for Average Policy Community Organisational/Environmental Interpersonal Intrapersonal Peer led BF program Partner included in support sessions Baby Friendly Hospital Physical localities for private breastfeeding Extended Maternity Leave

  15. Increase Parenting SkillsStrategy for Average Policy Community Organisational/Environmental Interpersonal Intrapersonal Triple P Sessions inclusive of grandparents Workplace Ngala lunch presentations Family friendly community parks Family friendly working hours

  16. Measurable Action PlanReduce Smoking in Pregnancy

  17. Measurable Action PlanIncrease Breastfeeding rates

  18. Measurable Action PlanIncrease Parenting Skills