Cost-effectiveness and cost-utility analyses of a web-based computer-tailored intervention for prevention of binge drinking among Spanish adolescents.

BACKGROUND Binge drinking (BD) among adolescents is a public health concern worldwide. This study assessed the cost-effectiveness and cost-utility of a web-based computer-tailored intervention to prevent BD in adolescence. METHODS The sample was drawn from a study evaluating the Alerta Alcohol program. The population consisted of adolescents 15 to 19 years of age. Data were recorded at baseline (January to February 2016) and after 4 months (May to June 2017) and were used to estimate costs and health outcomes, as measured by the number of BD occasions and quality-adjusted life years (QALYs). Incremental cost-effectiveness and cost-utility ratios were calculated from National Health Service (NHS) and societal perspectives and for a time horizon of 4 months. A multivariate deterministic sensitivity analysis of best/worst scenarios by subgroups was used to account for uncertainty. RESULTS The cost of reducing BD occasions by one per month was €16.63 from the NHS perspective, which from the societal perspective resulted in savings of €7986.37. From the societal perspective, the intervention resulted in an incremental cost of €71.05 per QALY gained from the NHS perspective and this was dominant, resulting in savings of €34,126.64 per QALY gained in comparison with the control group. Subgroup analyses showed that the intervention was dominant for girls from both the perspectives and for individuals 17 years or older from the NHS perspective. CONCLUSIONS Computer-tailored feedback is a cost-effective way to reduce BD and increase QALYs among adolescents. However, long-term follow-up is needed to evaluate more fully changes in both BD and health-related quality of life.

[1]  Donna Rowen,et al.  Review of Valuation Methods of Preference-Based Measures of Health for Economic Evaluation in Child and Adolescent Populations: Where are We Now and Where are We Going? , 2020, PharmacoEconomics.

[2]  H. de Vries,et al.  A Web-Based, Computer-Tailored Intervention to Reduce Alcohol Consumption and Binge Drinking Among Spanish Adolescents: Cluster Randomized Controlled Trial , 2020, Journal of medical Internet research.

[3]  N. Anokye,et al.  Measuring the effects on quality of life and alcohol consumption of a program to reduce binge drinking in Spanish adolescents. , 2019, Drug and alcohol dependence.

[4]  Emily A. Waterman,et al.  Longitudinal Associations of Binge Drinking with Interpersonal Violence Among Adolescents , 2019, Journal of Youth and Adolescence.

[5]  C. Montomoli,et al.  Predicting Young Adults Binge Drinking in Nightlife Scenes: An Evaluation of the D-ARIANNA Risk Estimation Model , 2018, Journal of addiction medicine.

[6]  C. Tzourio,et al.  Alcohol consumption, drinker identity, and quality of life among students: why there cannot be one prevention strategy for all , 2018, Quality of Life Research.

[7]  O. Garin,et al.  Validity of the EQ–5D–5L and reference norms for the Spanish population , 2018, Quality of Life Research.

[8]  H. de Vries,et al.  Design, implementation and evaluation of a web-based computer-tailored intervention to prevent binge drinking in adolescents: study protocol , 2018, BMC Public Health.

[9]  C. Cherpitel,et al.  Recall bias across 7 days in self‐reported alcohol consumption prior to injury among emergency department patients , 2018, Drug and alcohol review.

[10]  Mark Oppe,et al.  Handling Data Quality Issues to Estimate the Spanish EQ-5D-5L Value Set Using a Hybrid Interval Regression Approach. , 2017, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[11]  I. del Cura-González,et al.  Explaining differences in perceived health-related quality of life: a study within the Spanish population. , 2017, Gaceta sanitaria.

[12]  H. de Vries,et al.  [Adaptation and validation of five scales to measure determinants of binge drinking in adolescents]. , 2017, Anales del sistema sanitario de Navarra.

[13]  Naim Nur,et al.  Health-related Quality of Life and Associated Factors Among Undergraduate University Students. , 2017, Oman medical journal.

[14]  R. Baker,et al.  ‘Hidden Habitus’: A Qualitative Study of Socio-Ecological Influences on Drinking Practices and Social Identity in Mid-Adolescence , 2017, International journal of environmental research and public health.

[15]  R. Hanewinkel,et al.  Preventing Binge Drinking in Adolescents. , 2017, Deutsches Arzteblatt international.

[16]  Séamus A. Harvey,et al.  Steps Towards Alcohol Misuse Prevention Programme (STAMPP): a school-based and community-based cluster randomised controlled trial , 2018, BMJ Open.

[17]  H. Vries An Integrated Approach for Understanding Health Behavior: The I-Change Model as an Example , 2017 .

[18]  Ari Hyytinen,et al.  Alcohol Consumption and Long‐Term Labor Market Outcomes , 2017, Health economics.

[19]  Jai K. Das,et al.  Interventions for Adolescent Mental Health: An Overview of Systematic Reviews , 2016, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[20]  J. Adsuar,et al.  Normative values of EQ-5D-5L: in a Spanish representative population sample from Spanish Health Survey, 2011 , 2016, Quality of Life Research.

[21]  H. de Vries,et al.  A Web-Based Computer-Tailored Alcohol Prevention Program for Adolescents: Cost-Effectiveness and Intersectoral Costs and Benefits , 2016, Journal of medical Internet research.

[22]  Jomella Watson-Thompson,et al.  Reducing Binge Drinking in Adolescents through Implementation of the Strategic Prevention Framework. , 2016, American journal of community psychology.

[23]  F. Smit,et al.  School-based programmes to reduce and prevent substance use in different age groups: What works for whom? Systematic review and meta-regression analysis. , 2016, Clinical psychology review.

[24]  Hickman Matthew,et al.  Peer‐led interventions to prevent tobacco, alcohol and/or drug use among young people aged 11–21 years: a systematic review and meta‐analysis , 2016, Addiction.

[25]  Rik Crutzen,et al.  Effects of a Web-Based Computer-Tailored Game to Reduce Binge Drinking Among Dutch Adolescents: A Cluster Randomized Controlled Trial , 2016, Journal of Medical Internet Research.

[26]  M. Guerra-Martín,et al.  Estilos de vida y factores asociados a la alimentación y la actividad física en adolescentes , 2015 .

[27]  N. D. de Vries,et al.  A review of economic evaluations of behavior change interventions: setting an agenda for research methods and practice. , 2014, Journal of public health.

[28]  Robert Patton,et al.  The Effectiveness of Electronic Screening and Brief Intervention for Reducing Levels of Alcohol Consumption: A Systematic Review and Meta-Analysis , 2014, Journal of medical Internet research.

[29]  P. Corso,et al.  Cost-effectiveness of the strong African American families-teen program: 1-year follow-up. , 2013, Drug and alcohol dependence.

[30]  G. Gmel,et al.  Alcohol consumption in late adolescence and early adulthood--where is the problem? , 2013, Swiss medical weekly.

[31]  N. D. de Vries,et al.  Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews , 2013, Journal of medical Internet research.

[32]  Francine Schneider,et al.  Periodic Email Prompts to Re-Use an Internet-Delivered Computer-Tailored Lifestyle Program: Influence of Prompt Content and Timing , 2013, Journal of medical Internet research.

[33]  S. Petrou Rationale and methodology for trial-based economic evaluation , 2012 .

[34]  H. de Vries,et al.  Internet-Based Computer Tailored Feedback on Sunscreen Use , 2012, Journal of medical Internet research.

[35]  Alexander Tsertsvadze,et al.  Universal multi-component prevention programs for alcohol misuse in young people. , 2011, The Cochrane database of systematic reviews.

[36]  J. Severens,et al.  The transferability of valuing lost productivity across jurisdictions. differences between national pharmacoeconomic guidelines. , 2010, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[37]  Bengt Jönsson,et al.  Ten arguments for a societal perspective in the economic evaluation of medical innovations , 2009, The European Journal of Health Economics.

[38]  Stuart Linke,et al.  Internet-Based Interactive Health Intervention for the Promotion of Sensible Drinking: Patterns of Use and Potential Impact on Members of the General Public , 2007, Journal of medical Internet research.

[39]  M. Drummond,et al.  Whither trial-based economic evaluation for health care decision making? , 2006, Health economics.

[40]  Sajjad Ahmad Closing the youth access gap: the projected health benefits and cost savings of a national policy to raise the legal smoking age to 21 in the United States. , 2005, Health policy.

[41]  Hein de Vries,et al.  The general public's information needs and perceptions regarding hereditary cancer: an application of the Integrated Change Model. , 2005, Patient education and counseling.

[42]  H. Vries,et al.  Skin cancer prevention: behaviour and motives of Dutch adolescents , 2005, European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation.

[43]  J. Fortenberry,et al.  Comparability of a computer-assisted versus written method for collecting health behavior information from adolescent patients. , 1999, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[44]  J Raftery,et al.  Perspectives in economic evaluation , 1998, BMJ.

[45]  Alicia Busto Miramontes,et al.  Alcohol, tobacco and cannabis consumption in adolescents from a multicultural population (Burela, Lugo). , 2018, Adicciones.

[46]  Lena Osterhagen,et al.  Multiple Imputation For Nonresponse In Surveys , 2016 .

[47]  Global status report on alcohol and health , 2022 .