The dataset source, Public Health England, is an executive agency of the Department of Health & Social Care, part of England Government. Alcohol consumption is a contributing factor to hospital admissions and deaths from a diverse range of conditions. Alcohol-related admissions can be reduced through local interventions to reduce alcohol misuse and harm.
The numerator data, admissions to hospital where the primary diagnosis or any of the secondary diagnoses are an alcohol-specific condition are based on the Hospital Episode Statistics from NHS Digital and is provided for each quinary age group. For each admission episode identified, an alcohol-attributable fraction is applied based on the diagnostic code, age group and sex of the patient. Where there is more than one alcohol-attributable ICD-10 code among the 20 possible diagnostic codes, the code with the largest alcohol attributable fraction is selected. Directly standardized rate were calculated by aggregating the alcohol-specific admissions by five year age groups (0 to 4, 5 to 9, …, 85 to 89, 90+ years) for each area of residence using mid-year population estimated to derive age group and sex-specific rates for each area, calculating directly age-standardized rates per 100,000 population, standardized to the 2013 European Standard Population.
The confidence intervals are calculated using the Dobson & Byar’s method. Dobson & Byar’s method is used to calculate confidence intervals for directly standardized rates. A confidence interval is calculated for the observed total count of events using Byar’s method, which gives very accurate approximate confidence intervals for counts based on the assumption of a Poisson distribution and is sufficiently accurate for counts as low as 5 (below 5, an exact method should be used, based on Poisson tables or the Chi-squared distribution). This interval is then weighted and scaled to give the interval for the standardized rate using the method described by Dobson.