Interpretive analysis of 85 systematic reviews suggests that narrative syntheses and meta‐analyses are incommensurate in argumentation

Using Toulmin's argumentation theory, we analysed the texts of systematic reviews in the area of workplace health promotion to explore differences in the modes of reasoning embedded in reports of narrative synthesis as compared with reports of meta‐analysis. We used framework synthesis, grounded theory and cross‐case analysis methods to analyse 85 systematic reviews addressing intervention effectiveness in workplace health promotion. Two core categories, or ‘modes of reasoning’, emerged to frame the contrast between narrative synthesis and meta‐analysis: practical–configurational reasoning in narrative synthesis (‘what is going on here? What picture emerges?’) and inferential–predictive reasoning in meta‐analysis (‘does it work, and how well? Will it work again?’). Modes of reasoning examined quality and consistency of the included evidence differently. Meta‐analyses clearly distinguished between warrant and claim, whereas narrative syntheses often presented joint warrant–claims. Narrative syntheses and meta‐analyses represent different modes of reasoning. Systematic reviewers are likely to be addressing research questions in different ways with each method. It is important to consider narrative synthesis in its own right as a method and to develop specific quality criteria and understandings of how it is carried out, not merely as a complement to, or second‐best option for, meta‐analysis. © 2016 The Authors. Research Synthesis Methods published by John Wiley & Sons Ltd.

[1]  Juliet M. Corbin,et al.  Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory , 2008 .

[2]  M. S. Patel,et al.  An introduction to meta-analysis. , 1989, Health Policy.

[3]  R. Sanson-Fisher,et al.  A systematic review of work-place interventions for alcohol-related problems. , 2009, Addiction.

[4]  Matthew B. Miles,et al.  Qualitative Data Analysis: An Expanded Sourcebook , 1994 .

[5]  Randy W. Elder,et al.  Complex interventions and their implications for systematic reviews: a pragmatic approach. , 2013, Journal of clinical epidemiology.

[6]  W. Mechelen,et al.  Meta-analysis of workplace physical activity and dietary behavior interventions on weight outcomes , 2010 .

[7]  F. Song,et al.  QUALITY-ASSESSED REVIEWS OF HEALTH CARE INTERVENTIONS AND THE DATABASE OF ABSTRACTS OF REVIEWS OF EFFECTIVENESS (DARE) , 1999, International Journal of Technology Assessment in Health Care.

[8]  Robert T. Craig Communication Theory as a Field , 1999 .

[9]  Janet E. Anderson Complex interventions and their implications for systematic reviews: Commentary on Petticrew et al. (2015). , 2015, International journal of nursing studies.

[10]  Nanon Labrie,et al.  Does Argumentation Matter? A Systematic Literature Review on the Role of Argumentation in Doctor–Patient Communication , 2014, Health communication.

[11]  Ron Gray,et al.  The Structure of Scientific Arguments by Secondary Science Teachers: Comparison of experimental and historical science topics , 2014 .

[12]  Anselm L. Strauss,et al.  Basics of qualitative research : techniques and procedures for developing grounded theory , 1998 .

[13]  N. Hoffart Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory , 2000 .

[14]  M. Balgopal,et al.  Writing from different cultural contexts: How college students frame an environmental SSI through written arguments , 2017 .

[15]  H. Heath,et al.  Developing a grounded theory approach: a comparison of Glaser and Strauss. , 2004, International journal of nursing studies.

[16]  A. Booth,et al.  “Best fit” framework synthesis: refining the method , 2013, BMC Medical Research Methodology.

[17]  L. Hedges,et al.  Vote-counting methods in research synthesis. , 1980 .

[18]  Jennie Popay,et al.  Guidance on the conduct of narrative synthesis in systematic Reviews. A Product from the ESRC Methods Programme. Version 1 , 2006 .

[19]  John P A Ioannidis,et al.  Reasons or excuses for avoiding meta-analysis in forest plots , 2008, BMJ : British Medical Journal.

[20]  Anthony Hunter,et al.  Aggregating evidence about the positive and negative effects of treatments , 2012, Artif. Intell. Medicine.

[21]  G. Guyatt,et al.  GRADE: an emerging consensus on rating quality of evidence and strength of recommendations , 2008, BMJ : British Medical Journal.

[22]  Andrew Booth,et al.  Using Qualitative Evidence in Decision Making for Health and Social Interventions: An Approach to Assess Confidence in Findings from Qualitative Evidence Syntheses (GRADE-CERQual) , 2015, PLoS medicine.

[23]  Guy M. Goodwin,et al.  Introduction to Systematic Reviews , 2004, Journal of psychopharmacology.

[24]  Lisa Hartling,et al.  Testing the risk of bias tool showed low reliability between individual reviewers and across consensus assessments of reviewer pairs. , 2013, Journal of clinical epidemiology.

[25]  Andrea Furlan,et al.  Updated Method Guidelines for Systematic Reviews in the Cochrane Collaboration Back Review Group , 2003, Spine.

[26]  Carl Whithaus Claim-Evidence Structures in Environmental Science Writing: Modifying Toulmin's Model to Account for Multimodal Arguments , 2012 .

[27]  M. Petticrew,et al.  Systematic Reviews in the Social Sciences: A Practical Guide , 2005 .

[28]  H. Christensen,et al.  Preventing the development of depression at work: a systematic review and meta-analysis of universal interventions in the workplace , 2014, BMC Medicine.

[29]  Netzwerke Datenkommunikation,et al.  Communication Theory as a Field , 2011 .

[30]  Rachael Lancor,et al.  Using Student-Generated Analogies to Investigate Conceptions of Energy: A multidisciplinary study , 2014 .

[31]  S. Kremers,et al.  Systematic prevention of overweight and obesity in adults: a qualitative and quantitative literature analysis , 2010, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[32]  M. Petticrew,et al.  “A hard day’s night?” The effects of Compressed Working Week interventions on the health and work-life balance of shift workers: a systematic review , 2008, Journal of Epidemiology & Community Health.

[33]  Tiago Moreira,et al.  Entangled evidence: knowledge making in systematic reviews in healthcare. , 2007, Sociology of health & illness.

[34]  Michele Tarsilla Cochrane Handbook for Systematic Reviews of Interventions , 2010, Journal of MultiDisciplinary Evaluation.

[35]  Ken Stein,et al.  A multidimensional conceptual framework for analysing public involvement in health services research , 2008, Health expectations : an international journal of public participation in health care and health policy.

[36]  Karin Baier,et al.  The Uses Of Argument , 2016 .

[37]  Jonathan J Deeks,et al.  Chapter 13: Including non-randomized studies , 2008 .

[38]  Patricia Dolan Mullen,et al.  Developing an Evidence-Based Guide to Community Preventive Services—Methods , 2000 .

[39]  Leila C. Kahwati,et al.  The effectiveness of worksite nutrition and physical activity interventions for controlling employee overweight and obesity: a systematic review. , 2009, American journal of preventive medicine.

[40]  L. Spencer,et al.  Qualitative data analysis for applied policy research , 2002 .

[41]  Lisa Hartling,et al.  Testing the Newcastle Ottawa Scale showed low reliability between individual reviewers. , 2013, Journal of clinical epidemiology.

[42]  Jane Noyes,et al.  Synthesizing evidence on complex interventions: how meta-analytical, qualitative, and mixed-method approaches can contribute. , 2013, Journal of clinical epidemiology.

[43]  John S Webster,et al.  High-quality controlled trials on preventing episodes of back problems: systematic literature review in working-age adults. , 2009, The spine journal : official journal of the North American Spine Society.

[44]  D. Kendrick,et al.  An exploration of synthesis methods in public health evaluations of interventions concludes that the use of modern statistical methods would be beneficial. , 2014, Journal of clinical epidemiology.