The influence of intervention fidelity on treatment effect estimates in clinical trials of complex interventions: a metaepidemiological study

被引:1
作者
Paez, Arsenio [1 ,2 ,3 ]
Nunan, David [1 ,3 ]
McCulloch, Peter [4 ]
Beard, David [5 ]
机构
[1] Univ Oxford, Nuffield Dept Primary Care Hlth Sci, Radcliffe Primary Care Bldg, Radcliffe Observ Quar, Oxford OX2 6GG, England
[2] Northeastern Univ, Bouve Coll Hlth Sci, Boston, MA USA
[3] Univ Oxford, Ctr Evidence Based Med, Oxford, England
[4] Univ Oxford, Nuffield Dept Surg Sci, Oxford, England
[5] Univ Oxford, Nuffield Dept Orthopaed Rheumatol & Musculoskeleta, Oxford, England
关键词
bias meta-analyses' results; Intervention fidelity; Integrity; Adherence; Compliance; Treatment effect estimates; Complex interventions; Bias; HEALTH BEHAVIOR-CHANGE; PHYSICAL-ACTIVITY; RECOMMENDATIONS; METAANALYSIS; OUTCOMES; QUALITY; CHILDREN; THERAPY; FAILURE;
D O I
10.1016/j.jclinepi.2024.111610
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background and Objective: Randomized clinical trials (RCTs) provide the most reliable estimates of treatment effectiveness for therapeutic interventions. However, flaws in their design and conduct may bias treatment effect estimates, leading to overestimation or underestimation of the true intervention effect. This is especially relevant for complex interventions, such as those in rehabilitation, which are multifaceted and tailored for individual patients or providers, leading to variations in delivery and treatment effects. To assess whether poor intervention fidelity, the faithfulness of the intervention delivered in an RCT to what was intended in the trial protocol, influences (biases) estimates of treatment effects derived from meta-analysis of rehabilitation RCTs. Methods: In this metaepidemiological study of 19 meta-analyses and 204 RCTs published between 2010 and 2020, we evaluated the difference in intervention effects between RCTs in which intervention fidelity was monitored and those in which it was absent. We also conducted random-effects metaregression to measure associations between intervention fidelity, risk of bias, study sample size, and treatment effect estimates. Results: There was a linear relationship between fidelity and treatment effect sizes across RCTs, even after adjusting for risk of bias and study sample size. Higher degrees of fidelity were associated with smaller but more precise treatment effect estimates (d 5 -0.23 95% CI: -0.38, -0.74). Lower or absent fidelity was associated with larger, less precise estimates. Adjusting for fidelity reduced pooled treatment effect estimates in 4 meta-analyses from moderate to small or from small to no negligible or no effect, highlighting how poor fidelity can Conclusion: Poor or absent intervention fidelity in RCTs may lead to overestimation of observed treatment effects, skewing the conclusions from individuals studies and systematic reviews with meta-analyses when pooled. Caution is needed when interpreting the results of complex intervention RCTs when fidelity is not monitored or is monitored but not reported. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:13
相关论文
共 76 条
  • [1] [Anonymous], Will of James Cathcart Johnston, 10 April 1863. In the Hayes Collection #324, Southern Historical Collection, Louis Round Wilson Library, University of North Carolina at Chapel Hill.
  • [2] The number of subjects per variable required in linear regression analyses
    Austin, Peter C.
    Steyerberg, Ewout W.
    [J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 2015, 68 (06) : 627 - 636
  • [3] Changing Physical Activity Behavior in Type 2 Diabetes A systematic review and meta-analysis of behavioral interventions
    Avery, Leah
    Sniehotta, Falko F.
    Flynn, Darren
    Trenell, Michael I.
    van Wersch, Anna
    [J]. DIABETES CARE, 2012, 35 (12) : 2681 - 2689
  • [4] Correlation of quality measures with estimates of treatment effect in meta-analyses of randomized controlled trials
    Balk, EM
    Bonis, PAL
    Moskowitz, H
    Schmid, CH
    Ioannidis, JPA
    Wang, CC
    Lau, J
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2002, 287 (22): : 2973 - 2982
  • [5] Evidence-Based Evaluation of Practice and Innovation in Physical Therapy Using the IDEAL-Physio Framework
    Beard, David
    Hamilton, David
    Davies, Loretta
    Cook, Jonathan
    Hirst, Allison
    McCulloch, Peter
    Paez, Arsenio
    [J]. PHYSICAL THERAPY, 2018, 98 (02): : 108 - 121
  • [6] Enhancing treatment fidelity in health behavior change studies: Best practices and recommendations from the NIH behavior change consortium
    Bellg, AJ
    Borrelli, B
    Resnick, B
    Hecht, J
    Minicucci, DS
    Ory, M
    Ogedegbe, G
    Orwig, D
    Ernst, D
    Czajkowski, S
    [J]. HEALTH PSYCHOLOGY, 2004, 23 (05) : 443 - 451
  • [7] Effectiveness of exercise training after bariatric surgery-a systematic literature review and meta-analysis
    Bellicha, A.
    Ciangura, C.
    Poitou, C.
    Portero, P.
    Oppert, J. -M.
    [J]. OBESITY REVIEWS, 2018, 19 (11) : 1544 - 1556
  • [8] Berkman N.D., 2014, The empirical evidence of bias in trials measuring treatment differences
  • [9] Standardizing and monitoring the delivery of surgical interventions in randomized clinical trials
    Blencowe, N. S.
    Mills, N.
    Cook, J. A.
    Donovan, J. L.
    Rogers, C. A.
    Whiting, P.
    Blazeby, J. M.
    [J]. BRITISH JOURNAL OF SURGERY, 2016, 103 (10) : 1377 - 1384
  • [10] A new tool to assess treatment fidelity and evaluation of treatment fidelity across 10 years of health behavior research
    Borrelli, B
    Sepinwall, D
    Ernst, D
    Bellg, AJ
    Czajkowski, S
    Breger, R
    DeFrancesco, C
    Levesque, C
    Sharp, DL
    Ogedegbe, G
    Resnick, B
    Orwig, D
    [J]. JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY, 2005, 73 (05) : 852 - 860