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Modeling the Potential Impact of Changing Access Rates to Specialist Treatment for Alcohol Dependence for Local Authorities in England: The Specialist Treatment for Alcohol Model (STreAM).
Brennan, Alan; Hill-McManus, Daniel; Stone, Tony; Buykx, Penny; Ally, Abdallah; Pryce, Robert E; Alston, Robert; Jones, Andrew; Cairns, Donal; Millar, Tim; Donmall, Michael; Phillips, Tom; Meier, Petra; Drummond, Colin.
Afiliação
  • Brennan A; University of Sheffield Modelling Team and Public Health Research Team, School of Health and Related Research, University of Sheffield, Sheffield, England.
  • Hill-McManus D; University of Sheffield Modelling Team and Public Health Research Team, School of Health and Related Research, University of Sheffield, Sheffield, England.
  • Stone T; University of Sheffield Modelling Team and Public Health Research Team, School of Health and Related Research, University of Sheffield, Sheffield, England.
  • Buykx P; University of Sheffield Modelling Team and Public Health Research Team, School of Health and Related Research, University of Sheffield, Sheffield, England.
  • Ally A; University of Sheffield Modelling Team and Public Health Research Team, School of Health and Related Research, University of Sheffield, Sheffield, England.
  • Pryce RE; University of Sheffield Modelling Team and Public Health Research Team, School of Health and Related Research, University of Sheffield, Sheffield, England.
  • Alston R; University of Manchester Research and NDTMS Data Analysis Team, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England.
  • Jones A; University of Manchester Research and NDTMS Data Analysis Team, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England.
  • Cairns D; University of Manchester Research and NDTMS Data Analysis Team, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England.
  • Millar T; Division of Psychology & Mental Health, University of Manchester, Manchester, England.
  • Donmall M; University of Manchester Research and NDTMS Data Analysis Team, Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, England.
  • Phillips T; King's College London Clinical and Evidence Review Team, Addictions Department, National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England.
  • Meier P; University of Sheffield Modelling Team and Public Health Research Team, School of Health and Related Research, University of Sheffield, Sheffield, England.
  • Drummond C; King's College London Clinical and Evidence Review Team, Addictions Department, National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England.
J Stud Alcohol Drugs Suppl ; Sup 18: 96-109, 2019 01.
Article em En | MEDLINE | ID: mdl-30681953
ABSTRACT

OBJECTIVE:

We modeled the impact of changing Specialist Treatment Access Rates to different treatment pathways on the future prevalence of alcohol dependence, treatment outcomes, service capacity, costs, and mortality.

METHOD:

Local Authority numbers and the prevalence of people "potentially in need of assessment for and treatment in specialist services for alcohol dependence" (PINASTFAD) are estimated by mild, moderate, severe, and complex needs. Administrative data were used to estimate the Specialist Treatment Access Rate per PINASTFAD person and classify 22 different treatment pathways. Other model inputs include natural remission, relapse after treatment, service costs, and mortality rates. "What-if" analyses assess changes to Specialist Treatment Access Rates and treatment pathways. Model outputs include the numbers and prevalence of people who are PINASTFAD, numbers treated by 22 pathways, outcomes (successful completion with abstinence, successfully moderated nonproblematic drinking, re-treatment within 6 months, dropout, transfer, custody), mortality rates, capacity requirements (numbers in contact with community services or staying in residential or inpatient places), total treatment costs, and general health care savings. Five scenarios illustrate functionality (a) no change, (b) achieve access rates at the 70th percentile nationally, (c) increase access by 25%, (d) increase access to Scotland rate, and (e) reduce access by 25%.

RESULTS:

At baseline, 14,581 people are PINASTFAD (2.43% of adults) and the Specialist Treatment Access Rate is 10.84%. The 5-year impact of scenarios on PINASTFAD numbers (vs. no change) are (B) reduced by 191 (-1.3%), (C) reduced by 477 (-3.3%), (D) reduced by almost 2,800 (-19.2%), and (E) increased by 533 (+3.6%). The relative impact is similar for other outputs.

CONCLUSIONS:

Decision makers can estimate the potential impact of changing Specialist Treatment Access Rates for alcohol dependence.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas de Apoio para a Decisão / Centros de Tratamento de Abuso de Substâncias / Alcoolismo / Acessibilidade aos Serviços de Saúde / Medicina País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas de Apoio para a Decisão / Centros de Tratamento de Abuso de Substâncias / Alcoolismo / Acessibilidade aos Serviços de Saúde / Medicina País/Região como assunto: Europa Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido