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Alice McEntee

Biographic Data

ID9642810
NAMEAlice McEntee
GIVEN NAMESAlice
FAMILY NAMEMcEntee
SIGNATUREMCENTEE A
AFFILIATIONSFlinders University
ORCID0000-0002-9124-2093
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0
  • If cannabis use is increasing among workers what are the implications for policy? A secondary analysis of a nationally representative Australian dataset

    Agnès Roche, Ann Roche et al.•ARTICLE•Drugs Education Prevention and…•2023

    Patterns, prevalence and predictors of past year cannabis use were examined by industry and occupation groups through secondary analyses of Australia’s triennial National Drug Strategy Household Surveys (2010, 2013, 2016, 2019). Frequency analyses examined cannabis prevalence. Logistic regression models estimated adjusted effects of demographics on cannabis use amongst employees overall, and within industries and occupations where prevalence diff…

  • The green and the grey

    Agnès Roche, Ann Roche et al.•ARTICLE•Drugs Education Prevention and…•2022

    The alcohol and other drugs (AOD) sector has shown strong progress with regard to recognition, professionalism and international programs of training and credentialing. Yet little is known regarding the professional development (PD) needs of AOD workers, nor how these needs differ across career stages. Australian AOD workers (N = 812) from the government and non-government sectors completed an online survey. Early career workers (≤3 years’ AOD ex…

  • Predictors of turnover intention in the non-government alcohol and other drug sector

    Alice McEntee, Agnès Roche et al.•ARTICLE•Drugs Education Prevention and…•2021

    Background Effective delivery of alcohol and other drug (AOD) treatment is reliant on a skilled, experienced, and satisfied workforce. The need to recruit and train workers is universally acknowledged. It is equally important to retain staff, given global shortages of health and human services workers. As few studies have investigated predictors of turnover in the AOD sector, this study examined a range of potential work-related predictors.Method…

No prominent works on this page.

  • Predictors of turnover intention in the non-government alcohol and other drug sector

    Alice McEntee, Agnès Roche et al.•ARTICLE•Drugs Education Prevention and…•2021

    Background Effective delivery of alcohol and other drug (AOD) treatment is reliant on a skilled, experienced, and satisfied workforce. The need to recruit and train workers is universally acknowledged. It is equally important to retain staff, given global shortages of health and human services workers. As few studies have investigated predictors of turnover in the AOD sector, this study examined a range of potential work-related predictors.Method…

  • The green and the grey

    Agnès Roche, Ann Roche et al.•ARTICLE•Drugs Education Prevention and…•2022

    The alcohol and other drugs (AOD) sector has shown strong progress with regard to recognition, professionalism and international programs of training and credentialing. Yet little is known regarding the professional development (PD) needs of AOD workers, nor how these needs differ across career stages. Australian AOD workers (N = 812) from the government and non-government sectors completed an online survey. Early career workers (≤3 years’ AOD ex…

  • If cannabis use is increasing among workers what are the implications for policy? A secondary analysis of a nationally representative Australian dataset

    Agnès Roche, Ann Roche et al.•ARTICLE•Drugs Education Prevention and…•2023

    Patterns, prevalence and predictors of past year cannabis use were examined by industry and occupation groups through secondary analyses of Australia’s triennial National Drug Strategy Household Surveys (2010, 2013, 2016, 2019). Frequency analyses examined cannabis prevalence. Logistic regression models estimated adjusted effects of demographics on cannabis use amongst employees overall, and within industries and occupations where prevalence diff…

Medicine (3 works) · Psychology (3 works) · Workforce (3 works) · Economic growth (2 works) · Environmental health (2 works) · Accreditation (1 work) · Bivariate analysis (1 work) · Business (1 work) · Cannabis (1 work) · Cannabis and Cannabinoid Research (1 work)

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