Predicting and preventing alcohol relapse in alcohol-related liver disease
| Autor: | Margaret Lau-Walker, Ian Norman, Iyoni Ranasinghe, Jacqueline Sin |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
media_common.quotation_subject Psychological intervention 030230 surgery State Medicine Liver disease 03 medical and health sciences 0302 clinical medicine Recurrence Humans Medicine Postoperative Period 030212 general & internal medicine Intensive care medicine Liver Diseases Alcoholic General Nursing Demography media_common Advanced and Specialized Nursing Recidivism business.industry Abstinence medicine.disease United Kingdom Liver Transplantation Transplantation Substance abuse Alcoholism Medical–Surgical Nursing Systematic review Patient Compliance 030211 gastroenterology & hepatology business Psychosocial |
| Zdroj: | Gastrointestinal Nursing. 16:42-48 |
| ISSN: | 2052-2835 1479-5248 0966-0461 |
| DOI: | 10.12968/gasn.2018.16.4.42 |
| Popis: | Background: despite a 450% increase in UK alcohol-related liver disease mortality over the past 30 years, little evidence-based guidance exists regarding preventing recidivism post-liver transplant for alcohol-related liver disease. Method: a systematic literature review was conducted to identify demographic variables predictive of alcohol relapse and effective psychosocial interventions for alcohol-related liver disease patients post-liver transplant. Results: variables most significantly predictive of alcohol relapse post-transplant were—less than 12 months pre-liver transplant abstinence; patients with children; poor pre-liver transplant psychosomatic evaluation; non-compliance with post-liver transplant treatment plan; and patients with active insurance policies. Structured management was the most effective psychosocial intervention in preventing alcohol relapse. Conclusion: findings should be interpreted cautiously, due to limited and poor-quality evidence. Rigorously designed further research of the psychosocial interventions targeting predictive demographic variables is recommended. |
| Databáze: | OpenAIRE |
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