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Page 1© Crown copyright 2004 Health Forecasting Home Energy Conference May 11 2005 Dr William Bird Clinical Director, Health Forecasting
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Page 2© Crown copyright 2004 THE EFFECT OF COLD ON HEALTH
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Page 3© Crown copyright 2004 The Effect of Cold on Hospital Admissions
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Page 4© Crown copyright 2004 0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 North Finland South Finland Baden-Wurttemberg Netherlands London North Italy Public Extra winter mortality % increase in mortality for each 1ºC fall from 18ºC Keatinge et al, 1997
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Page 5© Crown copyright 2004 Public Prevention Regression coefficients for cold-related mortality from respiratory disease standardised at 7 0 C. *p<0.05 **p<0.01 Encourage AnorakAnorak Hat Warm Housing Warm Housing -3 -5* -7** Shivering+24** Stationary (>2 mins) +13* Shivering+24** Stationary (>2 mins) +13* Avoid
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Page 6© Crown copyright 2004 Respiratory Effects of Cold Cold causes bronchoconstriction Cold inhaled air on the lower airways Facial cooling In COPD patients cold bedroom temperatures are related to the development of a ‘cold’ and an exacerbation. This may be related to cooling of nasal passages. Increase in exacerbations related to cold outdoor temperatures. Following a fall in temperature there is a lag for respiratory deaths peaking at 12 days.
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Page 7© Crown copyright 2004 Keeping the house warm There is good evidence that cold houses cause increased mortality across all social classes. Indoor temperatures are related to respiratory deaths. A study in London demonstrated that cold bedroom temperatures are related to increased “common colds” in patients with COPD. There is no evidence in the misconceptions that cold houses or that sleeping with the bedroom window open is “healthy” despite 40% of elderly doing so.
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Page 8© Crown copyright 2004 HEALTH FORECASTING FOR COPD
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Page 9© Crown copyright 2004 The Effect of Cold on Different Groups Elderly, Old Houses, Post Code COPD, CHD, Chronic Disease, Health Centre, Out of Hours, Social Services Managers, A&E, Clinicians COPD PATIENT PATHWAY IDENTIFY PATIENTS STRATIFY PATIENTS BASELINE TREATMENT FORECAST INTERVENTION
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Page 10© Crown copyright 2004 Met Office Winter 04/05 Trial COPD forecast for PCTs and hospitals to allow anticipatory care. COPD advisory Group chaired by David Halpin (recent chair of NICE guideline committee). Workload Forecast for Hospitals based on Historic data Real time admission data Environmental factors Evaluation by London School Hygiene Tropical Medicine funded by DH.
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Page 11© Crown copyright 2004 SHA pilot project agreed. 8 Met Office service Developers Admissions & COPD Prevention. DoH funded evaluation COPD project
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Page 12© Crown copyright 2004 SERVICE DEVELOPERS Facilitate Actions Feedback of current situation Feedback of service
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Page 13© Crown copyright 2004 COPD Burden A PCT serving a population of 250,000 will have about 14,200 GP consultations every year for people with COPD. 680 patients will be admitted to hospital, accounting for 9800 bed days. Admission costs about £1700 GP Consultation costs £56
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Page 14© Crown copyright 2004 Results so far One PCT has noted an 85% reduction in COPD admissions. This could “save” the PCT £1.36 million a year The forecasts are acting as a catalyst for integrated care between the patient social care, primary care, secondary care and the local authority. The forecasts are 75% accurate.
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Page 15© Crown copyright 2004 COPD Admissions Plymouth hospitals
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Page 16© Crown copyright 2004 Positive correlation: Cold snaps lead to increased COPD admissions, peaking 1-2 weeks later Weekly “Coldness” measure vs COPD admissions N.B. “Coldness” is the weekly sum of a threshold temperature minus daily max temperature Cross-correlations / lags of COPD with weather
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Page 17© Crown copyright 2004 Temperature and EWM
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Page 18© Crown copyright 2004 Cold-only model
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Page 19© Crown copyright 2004 Creating a COPD forecast for each PCT Rule-based COPD predictive model Other weather data e.g. pressure, RH Local information/ Feedback/ Evaluation Health forecaster web interface COPD forecast for each Primary Care Trust (PCT) Average, Above Average, High, Very High Health data e.g. latest admission data, virus load
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Page 20© Crown copyright 2004 Herald period conditions and calendar correction are also taken into account in this model, along with the cold.
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Page 21© Crown copyright 2004 Treating an Exacerbation
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Page 22© Crown copyright 2004 Anticipatory Care
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Page 23© Crown copyright 2004 Anticipatory Care
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Page 24© Crown copyright 2004 COPD Actions Phone call to check: Heating, insulation Diet Medication Social Support Early symptoms Activity levels Depression/anxiety Patient report early symptoms that could herald an exacerbation.
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Page 25© Crown copyright 2004 STRATIFICATION OF PATIENTS
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Page 26© Crown copyright 2004 Above Average Workload / Risk of Admission Forecast
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Page 27© Crown copyright 2004 High Workload / Risk of Admission Forecast
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Page 28© Crown copyright 2004 VERY HIGH Workload / Risk of Admission Forecast
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Page 29© Crown copyright 2004 PCT (s)Action 1 Action 2 Action 3 Action 4 Very High Workload High Workload Above average Workload Action 1 (Individual) medication, social support, heating, early symptoms etc. Action 2 (PCT) Increased resource required to deal with larger numbers of high risk. Action 3 (PCT) Increased resource required to deal with moderate admissions. Action 4 (PCT) Baseline resource to attend to small numbers of very high risk group Converting risk into action
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Page 30© Crown copyright 2004 SUMMARY By understanding the relationship between health and Cold many clinical conditions may be helped by: Targeting the vulnerable by place and time Forecasting periods of increased risk Delivering interventions that can effectively prevent ill health. Integrating many partners to deliver
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