TY - JOUR PY - 2021// TI - Estimating the burden of alcohol on ambulance callouts through development and validation of an algorithm using electronic patient records JO - International journal of environmental research and public health A1 - Manca, Francesco A1 - Lewsey, Jim A1 - Waterson, Ryan A1 - Kernaghan, Sarah M. A1 - Fitzpatrick, David A1 - Mackay, Daniel A1 - Angus, Colin A1 - Fitzgerald, Niamh SP - e18126363 EP - e18126363 VL - 18 IS - 12 N2 - BACKGROUND: Alcohol consumption places a significant burden on emergency services, including ambulance services, which often represent patients' first, and sometimes only, contact with health services. We aimed to (1) improve the assessment of this burden on ambulance services in Scotland using a low-cost and easy to implement algorithm to screen free-text in electronic patient record forms (ePRFs), and (2) present estimates on the burden of alcohol on ambulance callouts in Scotland.

METHODS: Two paramedics manually reviewed 5416 ePRFs to make a professional judgement of whether they were alcohol-related, establishing a gold standard for assessing our algorithm performance. They also extracted all words or phrases relating to alcohol. An automatic algorithm to identify alcohol-related callouts using free-text in EPRs was developed using these extracts.

RESULTS: Our algorithm had a specificity of 0.941 and a sensitivity of 0.996 in detecting alcohol-related callouts. Applying the algorithm to all callout records in Scotland in 2019, we identified 86,780 (16.2%) as alcohol-related. At weekends, this percentage was 18.5%.

CONCLUSIONS: Alcohol-related callouts constitute a significant burden on the Scottish Ambulance Service. Our algorithm is significantly more sensitive than previous methods used to identify alcohol-related ambulance callouts. This approach and the resulting data have potential for the evaluation of alcohol policy interventions as well as for conducting wider epidemiological research.

Language: en

LA - en SN - 1661-7827 UR - http://dx.doi.org/10.3390/ijerph18126363 ID - ref1 ER -