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The revised JBI critical appraisal tool for the assessment of risk of bias for quasi-experimental studies.
Barker, Timothy H; Habibi, Nahal; Aromataris, Edoardo; Stone, Jennifer C; Leonardi-Bee, Jo; Sears, Kim; Hasanoff, Sabira; Klugar, Miloslav; Tufanaru, Catalin; Moola, Sandeep; Munn, Zachary.
Afiliação
  • Barker TH; JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
  • Habibi N; Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, The University of Adelaide, Adelaide, SA, Australia.
  • Aromataris E; JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
  • Stone JC; JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
  • Leonardi-Bee J; JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
  • Sears K; The Nottingham Centre for Evidence-Based Healthcare: A JBI Centre of Excellence, School of Medicine, The University of Nottingham, Nottingham, UK.
  • Hasanoff S; Queen's Collaboration for Health Care Quality, Queen's University, Kingston, Ontario, Canada.
  • Klugar M; Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, The University of Adelaide, Adelaide, SA, Australia.
  • Tufanaru C; Cochrane Czech Republic, The Czech Republic: A JBI Centre of Excellence, Czech GRADE Network, Institute of Health Information and Statistics of the Czech Republic, Prague, Czech Republic.
  • Moola S; Center of Evidence-based Education and Arts Therapies: A JBI Affiliated Group, Faculty of Education, Palacký University Olomouc, Czech Republic.
  • Munn Z; Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University.
JBI Evid Synth ; 22(3): 378-388, 2024 Mar 01.
Article em En | MEDLINE | ID: mdl-38287725
ABSTRACT
Systematic reviews of effectiveness offer a rigorous synthesis of the best evidence available regarding the effects of interventions or treatments. Randomized controlled trials are considered the optimal study design for evaluating the effectiveness of interventions and are the ideal study design for inclusion in a systematic review of effectiveness. In the absence of randomized controlled trials, quasi-experimental studies may be relied on to provide information on treatment or intervention effectiveness. However, such studies are subject to unique considerations regarding their internal validity and, consequently, the assessment of the risk of bias of these studies needs to consider these features of design and conduct. The JBI Effectiveness Methodology Group has recently commenced updating the suite of JBI critical appraisal tools for quantitative study designs to align with the latest advancements in risk of bias assessment. This paper presents the revised critical appraisal tool for risk of bias assessment of quasi-experimental studies; offers practical guidance for its use; provides examples for interpreting the results of risk of bias assessment; and discusses major changes from the previous version, along with the justifications for those changes.
Assuntos

Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Viés Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Viés Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article