ISSN: 2155-6105

Jornal de Pesquisa e Terapia de Dependência

Acesso livre

Nosso grupo organiza mais de 3.000 Séries de conferências Eventos todos os anos nos EUA, Europa e outros países. Ásia com o apoio de mais 1.000 Sociedades e publica mais de 700 Acesso aberto Periódicos que contém mais de 50.000 personalidades eminentes, cientistas de renome como membros do conselho editorial.

Periódicos de acesso aberto ganhando mais leitores e citações
700 periódicos e 15 milhões de leitores Cada periódico está obtendo mais de 25.000 leitores

Indexado em
  • Índice de Fonte CAS (CASSI)
  • Índice Copérnico
  • Google Scholar
  • Sherpa Romeu
  • Abra o portão J
  • Genâmica JournalSeek
  • Chaves Acadêmicas
  • JornalTOCs
  • SegurançaLit
  • Infraestrutura Nacional de Conhecimento da China (CNKI)
  • Biblioteca de Periódicos Eletrônicos
  • RefSeek
  • Universidade Hamdard
  • EBSCO AZ
  • OCLC – WorldCat
  • Catálogo online SWB
  • Biblioteca Virtual de Biologia (vifabio)
  • Publons
  • Fundação de Genebra para Educação e Pesquisa Médica
  • Euro Pub
  • ICMJE
Compartilhe esta página

Abstrato

Appreciative Inquiry: An Innovative New Strategy to Decrease Prescription Drug Abuse on a College Campus

Jeanelle Boyer, Marjorie Droppa, John Finneran, Margaret Smith and Amanda Bernius

Introduction: This article explores the use of an innovative research tool called Appreciative Inquiry (AI) as a new method of inquiry to help devise prevention strategies to decrease the non-medical use of prescription drugs by college students. In 2011, 1.7 million college-age adults age 18 to 25 used prescription drugs for non-medical purposes, the second highest group for this type of abuse. Recently, New Hampshire (NH) prioritized AI as an evidence-based strategy for prescription drug abuse prevention. The purpose of this study was to investigate whether AI could effectively engage a college campus to decrease prescription drug abuse among its students. Methods: A study was performed at a NH college in 2013 involving 47 college students, faculty, administrators, and community partners. Central to the process was the concept of AI, a participatory research method that enables communities to discover its strengths, enhance interconnections, and use social capital to tackle significant issues. Results: Several grassroots strategies emerged to decrease prescription drug abuse including a vision for the college to be a national leader in prevention. Conclusion: Based on our findings, AI is valuable tools to help communities such as a college campus devise strategies to decrease prescription drug use among its population.