Literature DB >> 35655699

Risk of bias in chiropractic mixed methods research: a secondary analysis of a meta-epidemiological review.

Peter C Emary1,2,3, Kent J Stuber4, Lawrence Mbuagbaw1,5,6,7, Mark Oremus1,8, Paul S Nolet4,9, Jennifer V Nash10, Craig A Bauman11,12, Carla Ciraco2, Rachel J Couban13, Jason W Busse1,10,13,14.   

Abstract

Objective: To examine the risk of bias in chiropractic mixed methods research.
Methods: We performed a secondary analysis of a meta-epidemiological review of chiropractic mixed methods studies. We assessed risk of bias with the Mixed Methods Appraisal Tool (MMAT) and used generalized estimating equations to explore factors associated with risk of bias.
Results: Among 55 eligible studies, a mean of 62% (6.8 [2.3]/11) of MMAT items were fulfilled. In our adjusted analysis, studies published since 2010 versus pre-2010 (adjusted odds ratio [aOR] = 2.26; 95% confidence interval [CI], 1.39 to 3.68) and those published in journals with an impact factor versus no impact factor (aOR = 2.21; 95% CI, 1.33 to 3.68) were associated with lower risk of bias.
Conclusion: Our findings suggest opportunities for improvement in the quality of conduct among published chiropractic mixed methods studies. Author compliance with the MMAT criteria may reduce methodological bias in future mixed methods research. © JCCA 2022.

Entities:  

Keywords:  chiropractic; methodological review; mixed methods research; risk of bias

Year:  2022        PMID: 35655699      PMCID: PMC9103633     

Source DB:  PubMed          Journal:  J Can Chiropr Assoc        ISSN: 0008-3194


  18 in total

1.  Multivariable analysis: a primer for readers of medical research.

Authors:  Mitchell H Katz
Journal:  Ann Intern Med       Date:  2003-04-15       Impact factor: 25.391

2.  An observational study found that authors of randomized controlled trials frequently use concealment of randomization and blinding, despite the failure to report these methods.

Authors:  P J Devereaux; Peter T-L Choi; Samer El-Dika; Mohit Bhandari; Victor M Montori; Holger J Schünemann; Amit X Garg; Jason W Busse; Diane Heels-Ansdell; William A Ghali; Braden J Manns; Gordon H Guyatt
Journal:  J Clin Epidemiol       Date:  2004-12       Impact factor: 6.437

3.  "I know it's changed": a mixed-methods study of the meaning of Global Perceived Effect in chronic neck pain patients.

Authors:  Roni Evans; Gert Bronfort; Michele Maiers; Craig Schulz; Jan Hartvigsen
Journal:  Eur Spine J       Date:  2014-01-10       Impact factor: 3.134

4.  Testing the reliability and efficiency of the pilot Mixed Methods Appraisal Tool (MMAT) for systematic mixed studies review.

Authors:  Romina Pace; Pierre Pluye; Gillian Bartlett; Ann C Macaulay; Jon Salsberg; Justin Jagosh; Robbyn Seller
Journal:  Int J Nurs Stud       Date:  2011-08-10       Impact factor: 5.837

5.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

Review 6.  Mixed Methods in CAM Research: A Systematic Review of Studies Published in 2012.

Authors:  Felicity L Bishop; Michelle M Holmes
Journal:  Evid Based Complement Alternat Med       Date:  2013-12-22       Impact factor: 2.629

7.  Quality of reporting in chiropractic mixed methods research: a methodological review protocol.

Authors:  Peter C Emary; Kent J Stuber; Lawrence Mbuagbaw; Mark Oremus; Paul S Nolet; Jennifer V Nash; Craig A Bauman; Carla Ciraco; Rachel J Couban; Jason W Busse
Journal:  Chiropr Man Therap       Date:  2021-09-15

Review 8.  Process evaluation in randomised controlled trials of complex interventions.

Authors:  Ann Oakley; Vicki Strange; Chris Bonell; Elizabeth Allen; Judith Stephenson
Journal:  BMJ       Date:  2006-02-18

Review 9.  Use of qualitative methods alongside randomised controlled trials of complex healthcare interventions: methodological study.

Authors:  Simon Lewin; Claire Glenton; Andrew D Oxman
Journal:  BMJ       Date:  2009-09-10

Review 10.  A tutorial on methodological studies: the what, when, how and why.

Authors:  Lawrence Mbuagbaw; Daeria O Lawson; Livia Puljak; David B Allison; Lehana Thabane
Journal:  BMC Med Res Methodol       Date:  2020-09-07       Impact factor: 4.615

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