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Table 1 STROBE Critical Appraisal Tool for Quantitative Studies

From: A critical integrative review of complementary medicine education research: key issues and empirical gaps

Study Title Abstract and Introduction Methods Results Discussion and other information Score/22
  Title Abstract Background Objectives Study design Setting Participants Variables Data sources Bias Study size Quantitative Variables Statistical Methods Participants Descriptive data Outcome data Main results Other analyses Key results Limitations Interpretation Geralisability Funding Score Out of 22
Forman, L., et al. 2006 x x x x x x x x   x   x x x x x   x x x    17
Grace, S., et al. 2006 x x x x x x x x   x   x x x x x   x x x    17
McCabe, P., 2008 x x   x x x x x   x    x x x x   x   x    15
Rowe T 2009 x x   x x x x x x x    x x x x x x x x x   18
Steel, A., et al. 2015 x x x x x x x x x x x x x x x x x x x x    20
Viksveen, P., 2011 x x x x x x x x   x x x x x x x   x x x x   19
SRQR Critical Appraisal Tool for Qualitative Studies
Study Title & Abstract Introduction Methods Discussion Other Score/21  
  Title Abstract Background Problem Formation Purpose of the research question Qualitative approach and research paradigm Researcher characteristic and reflexivity Context Sampling strategy Ethics pertaining to human subjects Data collection methods Collection instruments and tech Units of study Data processing Data analysis Techniques to ensure trustworthiness Synthesis and interpretation Links to empirical data Integration with prior work, transferability Limitations Conflict of interest Funding Score Out of 21  
Chen, Y., et al. 2015 x x x x x   x x x    x x x   x x x   x   15  
Grant, A., et al. 2012 x x x x x   x x x x   x x x   x x x     15  
Viksveen, P., et al. 2015 x x x x x   x x x x   x x x   x x x x    16  
Wardle, J., et al. 2013 x x x x    x x x x   x x x   x x x x x   16  
Wardle, J. and Sarris, J., 2014 x x x x    x x   x   x x x   x x x x x x 16  
MMAT Critical Appraisal Tool for Mixed Methods Studies
Study 1. QUAL study or QUAL component of an MM study 2. QUAN randomized controlled trial or component of an MM study 3. QUAN nonrandomized study (comparison group) or component of an MM study 4. Descriptive QUAN study (no comparison group) or component of an MM study 5. MM component of an MM study     
  Sources of data relevant to answer the research question Data analysis relevant to answer the question Context taken into account in data analysis Reflexivity of researchers (their influence on findings) Appropriate randomization (or sequence generation) Concealment allocation (or blinding) Complete outcome data Low dropout rate Recruitment minimizing bias Appropriate measurement (validated or standard) Similar participants in groups (or differences analyzed) Complete data, high response rate, and appropriate follow-up Sampling appropriate to answer the research question Sample representative of the population Appropriate measurement (validated or standard) Complete data and high response rate MM design relevant to answer the research questions Integration of QUAL and QUAN data and/or results Consideration of limitations associated with this integration Score out of 19    
Frenkel, M., et al. 2007 x   x          x x x     x   6    
Grace, S., et al. 2007 x   x     x x   x x x x x x    x   11    
Joshi, H., et al. 2013 x   x   x     x x x   x   x    x   9    
Long, C., et al. 2014 x   x   x   x x x     x x x x   x   11    
Schwartz, J., 2010 x x x   x   x   x x x x x     x x   12    
Toupin April, K., et al. 2013 x   x   x   x   x x x x x     x x x 12    
Zwickey H et al. 2014 x x x   x   x x x x x x x x x x x x x 17