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Public Health in local authorities – making sense of the big picture.

Public Health in local authorities – making sense of the big picture. ( A case study using obesity as an example) Professor Malcolm Whitfield. The Health Problem. Source: Professor Vilus Grabauskas, Professor, Chancellor of Kaunus Medical University, Lithuania .

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Public Health in local authorities – making sense of the big picture.

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  1. Public Health in local authorities – making sense of the big picture. (A case study using obesity as an example) Professor Malcolm Whitfield

  2. The Health Problem Source: Professor Vilus Grabauskas, Professor, Chancellor of Kaunus Medical University, Lithuania.

  3. The changing nature of disease

  4. (Example) - Diabetes TE TE TE TE TE TE Prevention Diagnosis & Treatment Blood Sugar Control Cardio-vascular events Heart Surgery Cataracts Amputations Foot ulcers Etc. Chronic Kidney Disease Blindness Immobility Dealing with increased demand Primary Care Public Health Out Patients Acute / Secondary Care Long term Care AE

  5. The building burden of disease Myocardial infarction Stroke Heart Failure Kidney Failure Diabetes Angioplasty Coronary bypass Dialysis Amputation Cataracts

  6. The policy assumptions Demand Patient Expectations Ageing population New & more intensive treatments New/Drug resistant disease More effective treatments Better prevention/lifestyle More effective models of care Greater self care Time

  7. Quantifying the impact of lifestyle

  8. Estimated impact of risk reduction – Birmingham East and North

  9. North Karelia - Finland Main risk factors in North Karelia between 1972 and 2007 among men and women aged 30-59 years

  10. North Karelia - Finland Age-adjusted mortality rates of coronary heart disease in North Karelia and the whole of Finland among males aged 35–64 years from 1969 to 2006.

  11. Understanding the complexity? Environment Regulation Diet Policy Education Motivation Lifestyle Behaviour Culture Surgery Healthcare Exercise Leisure

  12. Classifying Interventions

  13. Classifying Evidence

  14. Weighing the evidence

  15. Linking interventions/evidence

  16. Linking interventions/evidence

  17. Modeling return on investment

  18. Thank you

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