| Literature DB >> 30400776 |
Niamh Fitzgerald1, Matt Egan2, Frank de Vocht3, Colin Angus4, James Nicholls5, Niamh Shortt6, Tim Nichols7, Nason Maani Hessari8, Cheryl McQuire3, Richard Purves9, Nathan Critchlow9, Andrea Mohan9, Laura Mahon10, Colin Sumpter9, Linda Bauld11.
Abstract
BACKGROUND: Recent regulatory changes in the system by which premises are licensed to sell alcohol, have given health representatives a formal role in the process in England and Scotland. The degree to which local public health teams engage with this process varies by locality in both nations, which have different licensing regimes. This study aims to critically assess the impact on alcohol-related harms - and mechanisms - of public health stakeholders' engagement in alcohol premises licensing from 2012 to 2018, comparing local areas with differing types and intensities of engagement, and examining practice in Scotland and England.Entities:
Keywords: Alcohol; Availability; Composite measure; Local alcohol policy; Natural experiment; Outlet density; Premises licensing; Public health
Mesh:
Year: 2018 PMID: 30400776 PMCID: PMC6219046 DOI: 10.1186/s12874-018-0573-z
Source DB: PubMed Journal: BMC Med Res Methodol ISSN: 1471-2288 Impact factor: 4.615
Work Packages & Objectives
| 1. INTERVENTION SCOPING & PROCESS EVALUATION: To describe and explore PUBLIC HEALTH TEAM (PHT) engagement in alcohol premises licensing, the local licensing regime and related processes in 20 high activity and 20 low activity PHTs over the period 2012–2018. | |
| 2 ALCOHOL HARMS EVALUATION: To quantitatively evaluate whether PHT engagement in licensing has a measureable impact on health harms and crime rates using routine data from 2009 to 2018. | |
| 3. WIDER IMPACTS, COSTS AND DISTRIBUTION OF EFFECTS: To examine implementation costs, estimate the short-term impact of PHT engagement in licensing on alcohol consumption and the longer-term impact (up to 20 years) of the intervention on health and healthcare costs and explore the likely distribution of effects across the population. | |
| 4. IMPACT OF FINDINGS: |
Selected covariates for genetic matching
| Variable category | Country | |
|---|---|---|
| England | Scotland | |
| Deprivation/inequality | -Percentage of population living in a rural area | -Percentage of population living in a rural area |
| -Percentage of population living in area in most deprived quintile | -Scottish index of Multiple Deprivation score (average score across data zones for each local authority) | |
| Population/outlet density | -Population density per square kilometre | -Estimated mid-year population |
| -On-licence density | ||
| -Off-licence density | ||
| Alcohol-related harm | -Alcohol-related hospital admissions (standardised rate; narrow measure) | -Alcohol-related hospital admissions (standardised rate) |
| Demographic variables | -Median age | -Median age |
Outcome Indicators & Data Sources
| Outcome indicator | Source | |
|---|---|---|
| England | Scotland | |
| Quarterly alcohol-related hospital admissions | PHE | Information Services Division (ISD) Scotland |
| Quarterly alcohol-related and alcohol-specific mortality | PHE | National Records of Scotland (NRS) |
| Quarterly reported crime rates with significant attribution of alcohol abuse (violent, sexual, and public order offences) | Office for National Statistics (ONS) | Scottish Government |
| Weekly ambulance call outs for weekdays/weekends, both daytime and night-time | English Ambulance Services | Scottish Ambulance Service |
| Weekly A&E attendance rates for weekdays/weekends, both daytime and night-time | NHS Hospital Episode Statistics (HES) Data Access Request Service (DARS) | ISD Scotland |
Sample size data
| Expected average effect size %/year (slope) | Between-slope variance | Residual variance model | Number of areas in each group | |
|---|---|---|---|---|
| Crime ratesa | −4.00% (−0.04) | 0.003 | 0.03 | 29 |
| −5.00% (−0.04) | 0.003 | 0.03 | 19 | |
| −6.00% (−0.06) | 0.003 | 0.03 | 13 | |
| Rates | −2.31% (−0.229) | 0.110 | 0.011 | 34 |
|
| ||||
| 20 areas per group | −3.00% (−0.296) | 0.110 | 0.011 | 20 |
aEffect size is a range between 4 and 6% as estimated by d Vocht et al. (2016) using quadratic trends
List of local Public Health and Licensing activities that data will be collected on
| Intervention Components (Indicators) | Licensing activity/regime |
|---|---|
| a. A systematic process for review of new licensing applications & variations (known point of contact, clear criteria, use of routine data) | i. Licence application levels, types, conditions |
Fig. 1Simplified theory of change
Fig. 2Simplified theory of change with major confounding variables and activity added