Prevalence of problems with alcohol, marijuana and gambling among patients in a Regional Hospital in Northern Greenland: investigating the potential for brief interventions in a hospital setting.
Ivalu Katajavaara SeidlerSverre BarfodBirgit V NiclasenUlrik BeckerLuit PenningaChristina Viskum Lytken LarsenPublished in: International journal of circumpolar health (2021)
Problems with alcohol, marijuana and gambling are major public health challenges in Greenland but their prevalence in a hospital setting has not been explored. Healthcare facilities play a significant role in Greenland. One important aspect is their provision of both primary and secondary healthcare services to a small and scattered population while their potential as settings for screening for problems with alcohol, substances and gambling is an unexplored area with large public health potential. This study explored the prevalences of problems with alcohol, marijuana and gambling in a hospital and the potential for the use of a hospital as a setting for screening for alcohol, substance and gambling problems. Patients from the Northern Ilulissat Hospital filled in a self-administered questionnaire regarding their behaviour related to alcohol, marijuana and gambling. Data were weighted and compared to the nationally representative 2018 Health Survey. In the Ilulissat Survey, a large proportion were abstainers but there were still problems related to alcohol, marijuana and gambling indicating a potential for screening in a hospital setting. The results based on data from 2,554 respondents showed that prevalences of problems with alcohol, marijuana and gambling are lower in the Ilulissat Survey compared to the 2018 Health Survey.
Keyphrases
- healthcare
- mental health
- public health
- alcohol consumption
- acute care
- adverse drug
- end stage renal disease
- risk factors
- chronic kidney disease
- physical activity
- newly diagnosed
- magnetic resonance
- ejection fraction
- risk assessment
- computed tomography
- prognostic factors
- deep learning
- artificial intelligence
- climate change