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CompletedNCT04474444ASAPUpdated Dec 11, 2024

Ambulance Calls for Substance Use and Alcohol in a Pandemic (ASAP)

An observational study in Alcohol Use, Unspecified, Substance Use and Intoxication Alcohol, sponsored by University of Lincoln. Completed at 1 site in United Kingdom. Per ClinicalTrials.gov, last updated 2024-12-11.

Primary conditionAlcohol Drinking(the registry's first term)UnverifiedIs this wrong?Alcohol Drinking is a broad heading, used only when no more specific condition is named. No better condition is named, so the registry's term is kept.

Sponsored by University of Lincoln · Observational

Study type
Observational
Model
Case-only
Time perspective
Retrospective
Enrollment
55,000
Sex
All
01

Study summary

The Primary objective is to explore ambulance service attendance at incidents involving alcohol and/or substance use over the period of the pandemic lockdown, and the following months. This will be to determine prevalence and explore factors such as patient gender, age, ethnicity or location. Analysis will examine the calls over the course of the year prior to the lockdown, and then compare this to the period of lockdown and following months.

Read the detailed description

The Primary objective is to explore ambulance service attendance at incidents involving alcohol and/or substance use over the period of the pandemic lockdown, and the following months. This will be to determine prevalence and explore factors such as patient gender, age, ethnicity or location. Analysis will examine the calls over the course of the year prior to the lockdown, and then compare this to the period of lockdown and following months.

A time series analysis will be conducted to examine the calls over the course of the year prior to the lockdown, and then compare this to the period of lockdown and following months. This will use the 'Interrupted Time Series' (ITS) approach. To explore this regression models will be built that examine the causal models for attendance prior to the pandemic and compared to the lockdown time frame.

A multivariable regression model will be built. Initially a Directed Acyclic Graph (DAG) will allow the identification of confounders and exposures relevant to the model. A logistic regression model will be used to calculate the relative risk of call during lockdown compared to the data prior to lockdown. The model will be fit using p\<0.05 as the definition of statistical significance.

Descriptive statistics, trend analysis and predictive analysis will be conducted on the data set to determine trends across time, factors that predict patients requiring ambulance attendance, and factors that predict treatment outcomes. Missing data will be examined for systematic bias, and where found to be missing at random will be excluded from analysis. Where not missing at random, sensitivity analysis will be conducted.

Analysis will examine covariates. Age will be defined as single year continuous variable and examined in categories such as 5-year age groups. Ethnicity will be categorised as groups, such as black, Asian, other minority and mixed ethnic groups will be explored. Census data such as the deprivation, rurality, income, employment, disability and education will look at the decile as defined.

02

Conditions studied

  • Alcohol Use, Unspecified
  • Substance Use
  • Intoxication Alcohol
  • Emergencies
  • COVID-19 Pandemic
  • Treatment
03

In context

Alcohol Drinking Unverified

701 studies on the registry are indexed under Alcohol Drinking; 133 are open to participants now.

This study's enrollment of 55,000 is above the median of 312 across 74 observational studies indexed under Alcohol Drinking.

Browse Alcohol Drinking studies →

Lead sponsor

University of Lincoln is the lead sponsor of 25 studies on the registry; 2 are open to participants now.

Compared within Alcohol Drinking, the registry's first condition term, which may not be this study's main condition. Counted across the registry records on this site, refreshed daily. How we classify →

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

All people who ring 999 or 111 in an emergency.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patient of any age
  • Patient requested ambulance attendance between 23rd March 2019 and 22nd March 2021
  • The patient record is held by East Midlands Ambulance Service
  • Patient records that have recorded a clinical impression related to alcohol and substance use will be included in the data set alongside a word search in the free text response box for the following words/phrases: narcotic, spice, mamba, alcohol, substance use, drug use, illicit drug, overdose, intoxication, intoxicated, drunk, high.

Exclusion criteria

Exclusion Criteria:

  • The patient record was outside of the indicated date range.
  • The patient record is not accessible via EMAS
05

Study design

Observational model
Case-only
Time perspective
Retrospective
Enrollment
55,000 participants (actual)
Patient registry
No

Groups and cohorts

  • Hear and treat

    phone call, treatment, not attended

  • See and treat

    Ambulance crew attended

    Other: attendance by ambulance crew

Interventions

  • Otherattendance by ambulance crew

    hear, attendance, convey

06

What researchers measure

Primary outcomes

  1. Attendances for alcohol and drug use

    Counts of attendances for alcohol and drug use by the East Midland's Ambulance Service over the time period. This will be a number per day of people attended.

    Time frame: Full data set 23/03/2019 compared to 22/03/2021 to look at interruption (lockdown) in the time series.

07

Study locations

1 site
  • University of Lincoln
    Lincoln, LN64PB, United Kingdom
08

References and documents

Individual participant data

Plan to share: No — There is no plan to share the IPD

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 11, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04474444
Lead sponsor
University of Lincoln
Responsible party
Sponsor
First posted
Jul 16, 2020
Start date
Mar 23, 2019
Primary completion
Mar 23, 2021
Completion
Mar 23, 2021
Last update
Dec 11, 2024

Study contacts

Graham Law, PhD
principal investigator · University of Lincoln

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jul 2020. You cannot join it, but the record below documents what was studied.

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