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Published in: Systematic Reviews 1/2018

Open Access 01-12-2018 | Research

Rapid methods including network meta-analysis to produce evidence in clinical decision support: a decision analysis

Authors: Øystein Eiring, Kjetil Gundro Brurberg, Kari Nytrøen, Magne Nylenna

Published in: Systematic Reviews | Issue 1/2018

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Abstract

Background

Conducting systematic reviews is time-consuming but crucial to construct evidence-based patient decision aids, clinical practice guidelines and decision analyses. New methods might enable developers to produce a knowledge base more rapidly. However, trading off scientific rigour for speed when creating a knowledge base is controversial, and the consequences are insufficiently known. We developed and applied faster methods including systematic reviews and network meta-analyses, assessed their feasibility and compared them to a gold standard approach. We also assessed the feasibility of using decision analysis to perform this comparison.

Methods

Long-term treatment in bipolar disorder was our testing field. We developed two new methods: an empirically based, rapid network meta-analysis (NMA) and an expert NMA, and conducted a patient survey. We applied these methods to collect effect estimates for evidence-based treatments on outcomes important to patients. The relative importance of outcomes was obtained from patients using a stated preference method. We used multi-criteria decision analysis to compare a gold standard NMA with the rapid NMA in terms of the ability of the gold standard NMA to change the ranking and expected values of treatments for individual patients.

Results

Using rapid methods, it was feasible to identify evidence addressing outcomes important to patients. We found that replacing effect estimates from our rapid NMA with estimates from the gold standard NMA resulted in relatively small changes in the ranking and expected value of treatments. The rapid method sufficed to estimate the effects of nine out of ten options. To produce a ranking of treatments accurate for more than 95% of patients, it was necessary to supplement systematic with rapid methods and to use relative importance weights in the analysis. Integrating estimates of the outcome “treatment burden” had a larger impact on rankings than replacing rapid with gold standard methods. Using patients’ importance weights only modestly affected results.

Conclusions

The transfer of knowledge to practice could benefit from faster systematic reviewing methods. The results in this preliminary assessment suggest that an improved rapid NMA approach might replace gold standard NMAs. Decision analysis could be used to compare evidence summarisation methods.
Appendix
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Literature
1.
go back to reference Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013;382(9904):1575–86.CrossRef Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013;382(9904):1575–86.CrossRef
2.
go back to reference Merikangas KR, Jin R, He JP, Kessler RC, Lee S, Sampson NA, et al. Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Arch Gen Psychiatry. 2011;68(3):241–51.CrossRef Merikangas KR, Jin R, He JP, Kessler RC, Lee S, Sampson NA, et al. Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Arch Gen Psychiatry. 2011;68(3):241–51.CrossRef
3.
go back to reference Miura T, Noma H, Furukawa TA, Mitsuyasu H, Tanaka S, Stockton S, et al. Comparative efficacy and tolerability of pharmacological treatments in the maintenance treatment of bipolar disorder: a systematic review and network meta-analysis. Lancet Psychiatry. 2014;1(5):351–9.CrossRef Miura T, Noma H, Furukawa TA, Mitsuyasu H, Tanaka S, Stockton S, et al. Comparative efficacy and tolerability of pharmacological treatments in the maintenance treatment of bipolar disorder: a systematic review and network meta-analysis. Lancet Psychiatry. 2014;1(5):351–9.CrossRef
4.
go back to reference Parker GB, Graham RK, Tavella G. Is there consensus across international evidence-based guidelines for the management of bipolar disorder? Acta Psychiatr Scand. 2017;135(6):515–26.CrossRef Parker GB, Graham RK, Tavella G. Is there consensus across international evidence-based guidelines for the management of bipolar disorder? Acta Psychiatr Scand. 2017;135(6):515–26.CrossRef
8.
go back to reference Mok YM, Chan HH, Chee KS, Chua TE, Lim BL, Marziyana AR, et al. Ministry of Health Clinical Practice Guidelines: Bipolar Disorder. Singapore Med J. 2011;52(12):914. Mok YM, Chan HH, Chee KS, Chua TE, Lim BL, Marziyana AR, et al. Ministry of Health Clinical Practice Guidelines: Bipolar Disorder. Singapore Med J. 2011;52(12):914.
10.
go back to reference Yatham LN, Kennedy SH, Parikh SV, Schaffer A, Beaulieu S, Alda M, et al. Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) collaborative update of CANMAT guidelines for the management of patients with bipolar disorder: update 2013. Bipolar Disord. 2013;15(1):1–44.CrossRef Yatham LN, Kennedy SH, Parikh SV, Schaffer A, Beaulieu S, Alda M, et al. Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) collaborative update of CANMAT guidelines for the management of patients with bipolar disorder: update 2013. Bipolar Disord. 2013;15(1):1–44.CrossRef
12.
go back to reference Bipolar disorder in adults. BMJ Best Practice. BMJ Publishing Group. Bipolar disorder in adults. BMJ Best Practice. BMJ Publishing Group.
13.
go back to reference Elwyn G, Frosch D, Thomson R, Joseph-Williams N, Lloyd A, Kinnersley P, et al. Shared decision making: a model for clinical practice. J Gen Intern Med. 2012;27:1361–7.CrossRef Elwyn G, Frosch D, Thomson R, Joseph-Williams N, Lloyd A, Kinnersley P, et al. Shared decision making: a model for clinical practice. J Gen Intern Med. 2012;27:1361–7.CrossRef
14.
go back to reference Elwyn G, O'Connor A, Stacey D, Volk R, Edwards A, Coulter A, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333:417.CrossRef Elwyn G, O'Connor A, Stacey D, Volk R, Edwards A, Coulter A, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333:417.CrossRef
15.
go back to reference Thokala P, Devlin N, Marsh K, Baltussen R, Boysen M, Kalo Z, et al. Multiple criteria decision analysis for health care decision making – an introduction: report 1 of the ISPOR MCDA emerging good practices task force. Value Health. 2016;19:1–13.CrossRef Thokala P, Devlin N, Marsh K, Baltussen R, Boysen M, Kalo Z, et al. Multiple criteria decision analysis for health care decision making – an introduction: report 1 of the ISPOR MCDA emerging good practices task force. Value Health. 2016;19:1–13.CrossRef
17.
go back to reference Diaby V, Campbell K, Goeree R. Multi-criteria decision analysis (MCDA) in health care: a bibliometric analysis. Oper Res Heal Care. 2013;2:20–4.CrossRef Diaby V, Campbell K, Goeree R. Multi-criteria decision analysis (MCDA) in health care: a bibliometric analysis. Oper Res Heal Care. 2013;2:20–4.CrossRef
18.
go back to reference Mühlbacher AC, Kaczynski A. Making good decisions in healthcare with multi-criteria decision analysis: the use, current research and future development of MCDA. Appl Health Econ Health Policy. 2016;14:29–40.CrossRef Mühlbacher AC, Kaczynski A. Making good decisions in healthcare with multi-criteria decision analysis: the use, current research and future development of MCDA. Appl Health Econ Health Policy. 2016;14:29–40.CrossRef
19.
go back to reference Adunlin G, Diaby V, Xiao H. Application of multicriteria decision analysis in health care: a systematic review and bibliometric analysis. Health Expect. 2015;18:1894–905.CrossRef Adunlin G, Diaby V, Xiao H. Application of multicriteria decision analysis in health care: a systematic review and bibliometric analysis. Health Expect. 2015;18:1894–905.CrossRef
20.
go back to reference Dolan JG. Multi-criteria clinical decision support: a primer on the use of multiple criteria decision-making methods to promote evidence-based, patient-centered healthcare. Patient. 2010;3:229–48.CrossRef Dolan JG. Multi-criteria clinical decision support: a primer on the use of multiple criteria decision-making methods to promote evidence-based, patient-centered healthcare. Patient. 2010;3:229–48.CrossRef
21.
go back to reference Bastian H, Glasziou P, Chalmers I. Seventy-five trials and eleven systematic reviews a : how will we ever keep up? PLoS Med. 2010;7(9):e1000326.CrossRef Bastian H, Glasziou P, Chalmers I. Seventy-five trials and eleven systematic reviews a : how will we ever keep up? PLoS Med. 2010;7(9):e1000326.CrossRef
22.
go back to reference Borah R, Brown AW, Capers PL, Kaiser KA. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. BMJ Open. 2017;7(2):e012545.CrossRef Borah R, Brown AW, Capers PL, Kaiser KA. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry. BMJ Open. 2017;7(2):e012545.CrossRef
23.
go back to reference Mills EJ, Thorlund K, Ioannidis JP. Demystifying trial networks and network meta-analysis. BMJ. 2013;346:f2914.CrossRef Mills EJ, Thorlund K, Ioannidis JP. Demystifying trial networks and network meta-analysis. BMJ. 2013;346:f2914.CrossRef
24.
go back to reference Khangura S, Konnyu K, Cushman R, Grimshaw J, Moher D. Evidence summaries the evolution of a rapid review approach. Syst Rev. 2012;1:10.CrossRef Khangura S, Konnyu K, Cushman R, Grimshaw J, Moher D. Evidence summaries the evolution of a rapid review approach. Syst Rev. 2012;1:10.CrossRef
25.
go back to reference Watt A, Cameron A, Sturm L, Lathlean T, Babidge W, Blamey S, et al. Rapid reviews versus full systematic reviews: an inventory of current methods and practice in health technology assessment. Int J Technol Assess Health Care. 2008;24:133–9.CrossRef Watt A, Cameron A, Sturm L, Lathlean T, Babidge W, Blamey S, et al. Rapid reviews versus full systematic reviews: an inventory of current methods and practice in health technology assessment. Int J Technol Assess Health Care. 2008;24:133–9.CrossRef
26.
go back to reference Khangura S, Polisena J, Clifford TJ, Farrah K, Kamel C. Rapid review: an emerging approach to evidence synthesis in health technology assessment. Int J Technol Assess Health Care. 2014;30:20–7.CrossRef Khangura S, Polisena J, Clifford TJ, Farrah K, Kamel C. Rapid review: an emerging approach to evidence synthesis in health technology assessment. Int J Technol Assess Health Care. 2014;30:20–7.CrossRef
27.
go back to reference Ganann R, Ciliska D, Thomas H. Expediting systematic reviews: methods and implications of rapid reviews. Implement Sci. 2010;5:56.CrossRef Ganann R, Ciliska D, Thomas H. Expediting systematic reviews: methods and implications of rapid reviews. Implement Sci. 2010;5:56.CrossRef
28.
go back to reference Pieper D, Buechter R, Jerinic P, Eikermann M. Overviews of reviews often have limited rigor: a systematic review. J Clin Epidemiol. 2012;65:1267–73.CrossRef Pieper D, Buechter R, Jerinic P, Eikermann M. Overviews of reviews often have limited rigor: a systematic review. J Clin Epidemiol. 2012;65:1267–73.CrossRef
29.
go back to reference Thomas J, Newman M, Oliver S. Rapid evidence assessments of research to inform social policy: taking stock and moving forward. Evid Policy. 2013;9:5–27.CrossRef Thomas J, Newman M, Oliver S. Rapid evidence assessments of research to inform social policy: taking stock and moving forward. Evid Policy. 2013;9:5–27.CrossRef
30.
go back to reference Harker J, Kleijnen J. What is a rapid review? A methodological exploration of rapid reviews in health technology assessments. Int J Evid Based Healthc. 2012;10:397–410.CrossRef Harker J, Kleijnen J. What is a rapid review? A methodological exploration of rapid reviews in health technology assessments. Int J Evid Based Healthc. 2012;10:397–410.CrossRef
31.
go back to reference Sagliocca L, De Masi S, Ferrigno L, Mele A, Traversa G. A pragmatic strategy for the review of clinical evidence. J Eval Clin Pract. 2013;19:689–96.CrossRef Sagliocca L, De Masi S, Ferrigno L, Mele A, Traversa G. A pragmatic strategy for the review of clinical evidence. J Eval Clin Pract. 2013;19:689–96.CrossRef
32.
go back to reference Marsh K, Ijzerman M, Thokala P, Baltussen R, Boysen M, Kalo Z, et al. Multiple criteria decision analysis for health care decision making – emerging good practices: report 2 of the ISPOR MCDA emerging good practices task force. Value Health. 2016;19:125–37.CrossRef Marsh K, Ijzerman M, Thokala P, Baltussen R, Boysen M, Kalo Z, et al. Multiple criteria decision analysis for health care decision making – emerging good practices: report 2 of the ISPOR MCDA emerging good practices task force. Value Health. 2016;19:125–37.CrossRef
33.
go back to reference Marsh K, Lanitis T, Neasham D, Orfanos P, Caro J. Assessing the value of healthcare interventions using multi-criteria decision analysis: a review of the literature. PharmacoEconomics. 2014;32:345–65.CrossRef Marsh K, Lanitis T, Neasham D, Orfanos P, Caro J. Assessing the value of healthcare interventions using multi-criteria decision analysis: a review of the literature. PharmacoEconomics. 2014;32:345–65.CrossRef
35.
go back to reference Sattler H, Hensel-Börner S. A comparison of conjoint measurement with self-explicated approaches. In: Gustafsson A, Herrmann A, Huber F, editors. Conjoint measurement: methods and applications. Berlin: Springer Verlag; 2003. p. 147–59.CrossRef Sattler H, Hensel-Börner S. A comparison of conjoint measurement with self-explicated approaches. In: Gustafsson A, Herrmann A, Huber F, editors. Conjoint measurement: methods and applications. Berlin: Springer Verlag; 2003. p. 147–59.CrossRef
36.
go back to reference Schlereth C, Eckert C, Schaaf R, Skiera B. Measurement of preferences with self-explicated approaches: a classification and merge of trade-off- and non-trade-off-based evaluation types. EJOR. 2014;238:185–98.CrossRef Schlereth C, Eckert C, Schaaf R, Skiera B. Measurement of preferences with self-explicated approaches: a classification and merge of trade-off- and non-trade-off-based evaluation types. EJOR. 2014;238:185–98.CrossRef
37.
go back to reference Shea BJ, Hamel C, Wells GA, Bouter LM, Kristjansson E, Grimshaw J. AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews. J Clin Epidemiol. 2009;62:1013–20.CrossRef Shea BJ, Hamel C, Wells GA, Bouter LM, Kristjansson E, Grimshaw J. AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews. J Clin Epidemiol. 2009;62:1013–20.CrossRef
40.
go back to reference Tran VT, Montori VM, Eton DT, Baruch D, Falissard B, Ravaud P. Development and description of measurement properties of an instrument to assess treatment burden among patients with multiple chronic conditions. BMC Med. 2012;10:68.CrossRef Tran VT, Montori VM, Eton DT, Baruch D, Falissard B, Ravaud P. Development and description of measurement properties of an instrument to assess treatment burden among patients with multiple chronic conditions. BMC Med. 2012;10:68.CrossRef
44.
go back to reference Hemens BJ, Haynes RB. McMaster Premium LiteratUre Service (PLUS) performed well for identifying new studies for updated Cochrane reviews. J Clin Epidemiol. 2012;65:62–72 e61.CrossRef Hemens BJ, Haynes RB. McMaster Premium LiteratUre Service (PLUS) performed well for identifying new studies for updated Cochrane reviews. J Clin Epidemiol. 2012;65:62–72 e61.CrossRef
47.
go back to reference Marsh K, Caro JJ, Hamed A, Zaiser E. Amplifying each patient's voice. A systematic review of multi-criteria decision analyses involving patients. Appl Health Econ Health Policy. 2017;15(2):155–62.CrossRef Marsh K, Caro JJ, Hamed A, Zaiser E. Amplifying each patient's voice. A systematic review of multi-criteria decision analyses involving patients. Appl Health Econ Health Policy. 2017;15(2):155–62.CrossRef
48.
go back to reference Suehs BT, Bettinger TL. A multiattribute decision model for bipolar disorder: identification of preferred mood-stabilizing medications. Am J Manag Care. 2009;15(7):e42–52.PubMed Suehs BT, Bettinger TL. A multiattribute decision model for bipolar disorder: identification of preferred mood-stabilizing medications. Am J Manag Care. 2009;15(7):e42–52.PubMed
49.
go back to reference Van Valkenhoef G, Tervonen T, Zhao J, de Brock B, Hillege HL, Postmus D. Multicriteria benefit-risk assessment using network meta-analysis. J Clin Epidemiol. 2012;65:394–403.CrossRef Van Valkenhoef G, Tervonen T, Zhao J, de Brock B, Hillege HL, Postmus D. Multicriteria benefit-risk assessment using network meta-analysis. J Clin Epidemiol. 2012;65:394–403.CrossRef
50.
go back to reference De Montis A, De Toro P, Droste-Franke B, Omann I, Stagl S. Criteria for quality assessment of MCDA methods. 3rd Biennial Conference of the European Society for Ecological Economics. Vienna. 2000:3–6. De Montis A, De Toro P, Droste-Franke B, Omann I, Stagl S. Criteria for quality assessment of MCDA methods. 3rd Biennial Conference of the European Society for Ecological Economics. Vienna. 2000:3–6.
51.
go back to reference Broekhuizen H, Groothuis-Oudshoorn CG, van Til JA, Hummel JM, Ijzerman MJ. A review and classification of approaches for dealing with uncertainty in multi-criteria decision analysis for healthcare decisions. PharmacoEconomics. 2015;33:445–55.CrossRef Broekhuizen H, Groothuis-Oudshoorn CG, van Til JA, Hummel JM, Ijzerman MJ. A review and classification of approaches for dealing with uncertainty in multi-criteria decision analysis for healthcare decisions. PharmacoEconomics. 2015;33:445–55.CrossRef
52.
go back to reference Veroniki AA, Vasiliadis HS, Higgins JP, Salanti G. Evaluation of inconsistency in networks of interventions. Int J Epidemiol. 2013;42(1):332–45.CrossRef Veroniki AA, Vasiliadis HS, Higgins JP, Salanti G. Evaluation of inconsistency in networks of interventions. Int J Epidemiol. 2013;42(1):332–45.CrossRef
53.
go back to reference Mair FS, May CR. Thinking about the burden of treatment. BMJ. 2014;349:g6680.CrossRef Mair FS, May CR. Thinking about the burden of treatment. BMJ. 2014;349:g6680.CrossRef
Metadata
Title
Rapid methods including network meta-analysis to produce evidence in clinical decision support: a decision analysis
Authors
Øystein Eiring
Kjetil Gundro Brurberg
Kari Nytrøen
Magne Nylenna
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2018
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-018-0829-z

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