1
|
French DP, Miles LM, Elbourne D, Farmer A, Gulliford M, Locock L, Sutton S, McCambridge J. Reducing bias in trials from reactions to measurement: the MERIT study including developmental work and expert workshop. Health Technol Assess 2021; 25:1-72. [PMID: 34553685 DOI: 10.3310/hta25550] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Measurement can affect the people being measured; for example, asking people to complete a questionnaire can result in changes in behaviour (the 'question-behaviour effect'). The usual methods of conduct and analysis of randomised controlled trials implicitly assume that the taking of measurements has no effect on research participants. Changes in measured behaviour and other outcomes due to measurement reactivity may therefore introduce bias in otherwise well-conducted randomised controlled trials, yielding incorrect estimates of intervention effects, including underestimates. OBJECTIVES The main objectives were (1) to promote awareness of how and where taking measurements can lead to bias and (2) to provide recommendations on how best to avoid or minimise bias due to measurement reactivity in randomised controlled trials of interventions to improve health. METHODS We conducted (1) a series of systematic and rapid reviews, (2) a Delphi study and (3) an expert workshop. A protocol paper was published [Miles LM, Elbourne D, Farmer A, Gulliford M, Locock L, McCambridge J, et al. Bias due to MEasurement Reactions In Trials to improve health (MERIT): protocol for research to develop MRC guidance. Trials 2018;19:653]. An updated systematic review examined whether or not measuring participants had an effect on participants' health-related behaviours relative to no-measurement controls. Three new rapid systematic reviews were conducted to identify (1) existing guidance on measurement reactivity, (2) existing systematic reviews of studies that have quantified the effects of measurement on outcomes relating to behaviour and affective outcomes and (3) experimental studies that have investigated the effects of exposure to objective measurements of behaviour on health-related behaviour. The views of 40 experts defined the scope of the recommendations in two waves of data collection during the Delphi procedure. A workshop aimed to produce a set of recommendations that were formed in discussion in groups. RESULTS Systematic reviews - we identified a total of 43 studies that compared interview or questionnaire measurement with no measurement and these had an overall small effect (standardised mean difference 0.06, 95% confidence interval 0.02 to 0.09; n = 104,096, I2 = 54%). The three rapid systematic reviews identified no existing guidance on measurement reactivity, but we did identify five systematic reviews that quantified the effects of measurement on outcomes (all focused on the question-behaviour effect, with all standardised mean differences in the range of 0.09-0.28) and 16 studies that examined reactive effects of objective measurement of behaviour, with most evidence of reactivity of small effect and short duration. Delphi procedure - substantial agreement was reached on the scope of the present recommendations. Workshop - 14 recommendations and three main aims were produced. The aims were to identify whether or not bias is likely to be a problem for a trial, to decide whether or not to collect further quantitative or qualitative data to inform decisions about if bias is likely to be a problem, and to identify how to design trials to minimise the likelihood of this bias. LIMITATION The main limitation was the shortage of high-quality evidence regarding the extent of measurement reactivity, with some notable exceptions, and the circumstances that are likely to bring it about. CONCLUSION We hope that these recommendations will be used to develop new trials that are less likely to be at risk of bias. FUTURE WORK The greatest need is to increase the number of high-quality primary studies regarding the extent of measurement reactivity. STUDY REGISTRATION The first systematic review in this study is registered as PROSPERO CRD42018102511. FUNDING Funded by the Medical Research Council UK and the National Institute for Health Research as part of the Medical Research Council-National Institute for Health Research Methodology Research Programme.
Collapse
Affiliation(s)
- David P French
- Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Lisa M Miles
- Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Diana Elbourne
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Andrew Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Martin Gulliford
- School of Population Health and Environmental Sciences, King's College London, London, UK
| | - Louise Locock
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Stephen Sutton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | | |
Collapse
|
2
|
Barbacki A, Petri M, Aviña-Zubieta A, Alarcón GS, Bernatsky S. Fatigue Measurements in Systemic Lupus Erythematosus. J Rheumatol 2019; 46:1470-1477. [PMID: 30709953 DOI: 10.3899/jrheum.180831] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2019] [Indexed: 01/28/2023]
Abstract
OBJECTIVE Fatigue is a frequent, disabling issue in systemic lupus erythematosus (SLE). It is, however, difficult to quantify. The Ad Hoc Committee on SLE Response Criteria for Fatigue in 2007 recommended using the Krupp Fatigue Severity Scale (FSS). Since then, the Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue Scale has also been validated in SLE. We performed a review of instruments used to measure fatigue in adult SLE patients from 2007 onward. METHODS We searched PubMed, Medline, and Embase (January 2008-October 2017), identifying clinical trials and observational studies in adult SLE, where fatigue was a specifically measured outcome. All English and French studies were reviewed to determine fatigue measures and results. RESULTS Thirty-seven studies met inclusion criteria. Eight scales were used. The visual analog scale (VAS), FSS, and FACIT-Fatigue Scale were most frequent. FSS was the most often used instrument in both clinical trials and observational studies. Twenty-five of the 37 studies demonstrated a difference in fatigue that was statistically significant and clinically meaningful. Of the 12 studies that did not, 6 used FSS, 3 used VAS, 2 used the Multidimensional Assessment of Fatigue, and 1 used the Brief Fatigue Index. All 6 studies using the FACIT-Fatigue Scale detected clinically meaningful and statistically significant differences. CONCLUSION VAS, FSS, and FACIT-Fatigue Scale were the most frequently used instruments in adult SLE studies from 2008 to 2017. Many studies detected clinically important changes in fatigue. Fatigue remains a key measure in both clinical trials and observational SLE studies.
Collapse
Affiliation(s)
- Ariane Barbacki
- From the Department of Medicine, Division of Rheumatology, McGill University Health Centre, Montreal, Quebec; Division of Rheumatology, Department of Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia; Arthritis Research Centre of Canada, Richmond, British Columbia; Department of Experimental Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada; Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,A. Barbacki, MD, Department of Medicine, Division of Rheumatology, McGill University Health Centre; M. Petri, MD, MPH, Division of Rheumatology, Johns Hopkins University School of Medicine; A. Aviña-Zubieta, MD, MSc, PhD, Division of Rheumatology, Department of Medicine, and Department of Experimental Medicine, University of British Columbia Faculty of Medicine, and Arthritis Research Centre of Canada; G.S. Alarcón, MD, MPH, Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham; S. Bernatsky, MD, PhD, Department of Medicine, Division of Rheumatology, McGill University Health Centre
| | - Michelle Petri
- From the Department of Medicine, Division of Rheumatology, McGill University Health Centre, Montreal, Quebec; Division of Rheumatology, Department of Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia; Arthritis Research Centre of Canada, Richmond, British Columbia; Department of Experimental Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada; Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,A. Barbacki, MD, Department of Medicine, Division of Rheumatology, McGill University Health Centre; M. Petri, MD, MPH, Division of Rheumatology, Johns Hopkins University School of Medicine; A. Aviña-Zubieta, MD, MSc, PhD, Division of Rheumatology, Department of Medicine, and Department of Experimental Medicine, University of British Columbia Faculty of Medicine, and Arthritis Research Centre of Canada; G.S. Alarcón, MD, MPH, Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham; S. Bernatsky, MD, PhD, Department of Medicine, Division of Rheumatology, McGill University Health Centre
| | - Antonio Aviña-Zubieta
- From the Department of Medicine, Division of Rheumatology, McGill University Health Centre, Montreal, Quebec; Division of Rheumatology, Department of Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia; Arthritis Research Centre of Canada, Richmond, British Columbia; Department of Experimental Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada; Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,A. Barbacki, MD, Department of Medicine, Division of Rheumatology, McGill University Health Centre; M. Petri, MD, MPH, Division of Rheumatology, Johns Hopkins University School of Medicine; A. Aviña-Zubieta, MD, MSc, PhD, Division of Rheumatology, Department of Medicine, and Department of Experimental Medicine, University of British Columbia Faculty of Medicine, and Arthritis Research Centre of Canada; G.S. Alarcón, MD, MPH, Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham; S. Bernatsky, MD, PhD, Department of Medicine, Division of Rheumatology, McGill University Health Centre
| | - Graciela S Alarcón
- From the Department of Medicine, Division of Rheumatology, McGill University Health Centre, Montreal, Quebec; Division of Rheumatology, Department of Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia; Arthritis Research Centre of Canada, Richmond, British Columbia; Department of Experimental Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada; Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,A. Barbacki, MD, Department of Medicine, Division of Rheumatology, McGill University Health Centre; M. Petri, MD, MPH, Division of Rheumatology, Johns Hopkins University School of Medicine; A. Aviña-Zubieta, MD, MSc, PhD, Division of Rheumatology, Department of Medicine, and Department of Experimental Medicine, University of British Columbia Faculty of Medicine, and Arthritis Research Centre of Canada; G.S. Alarcón, MD, MPH, Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham; S. Bernatsky, MD, PhD, Department of Medicine, Division of Rheumatology, McGill University Health Centre
| | - Sasha Bernatsky
- From the Department of Medicine, Division of Rheumatology, McGill University Health Centre, Montreal, Quebec; Division of Rheumatology, Department of Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia; Arthritis Research Centre of Canada, Richmond, British Columbia; Department of Experimental Medicine, University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada; Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA. .,A. Barbacki, MD, Department of Medicine, Division of Rheumatology, McGill University Health Centre; M. Petri, MD, MPH, Division of Rheumatology, Johns Hopkins University School of Medicine; A. Aviña-Zubieta, MD, MSc, PhD, Division of Rheumatology, Department of Medicine, and Department of Experimental Medicine, University of British Columbia Faculty of Medicine, and Arthritis Research Centre of Canada; G.S. Alarcón, MD, MPH, Division of Rheumatology and Clinical Immunology, Department of Medicine, University of Alabama at Birmingham; S. Bernatsky, MD, PhD, Department of Medicine, Division of Rheumatology, McGill University Health Centre.
| |
Collapse
|
6
|
Hinkle SN, Albert PS, Sjaarda LA, Grewal J, Grantz KL. Trajectories of maternal gestational weight gain and child cognition assessed at 5 years of age in a prospective cohort study. J Epidemiol Community Health 2016; 70:696-703. [PMID: 26759126 DOI: 10.1136/jech-2014-205108] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Accepted: 12/17/2015] [Indexed: 11/04/2022]
Abstract
BACKGROUND There has been concern that low gestational weight gain may cause poor fetal neurodevelopment. METHODS The association between maternal weight gain and child IQ was examined using serial antenatal weight measurements (median 12) from a prospective cohort of non-obese Scandinavian women (1986-1988). Linear mixed models with piecewise regression were used to estimate participants' (n=552) trimester-specific average rate of weight gain. Linear regression was used to assess the association between weight gain and children's (n=344) full-scale, performance and verbal IQ measured at age 5 using the Wechsler Preschool and Primary Scales of Intelligence-Revised. RESULTS Children born to mothers who gained below versus within the 2nd trimester 2009 recommendations tended to have lower IQ scores (Full-scale: 106.6 (SD 15.1) vs 110.2 (15.2), p=0.04; verbal: 102.5 (14.3) vs 105.0 (14.9), p=0.10; performance: 109.5 (15.4) vs 113.4 (14.5), p=0.03). After adjustment there were no differences in child IQ by weight gain adequacy (full-scale: βbelow=-1.1 (95% CI -5.1 to 2.9), βabove=1.5 (-3.8 to 6.8); verbal: βbelow=-0.2 (-3.1 to 2.6), βabove=1.8 (-3.6 to 7.3); performance βbelow=-1.2 (-4.6 to 2.2), βabove=1.0 (-4.6 to 6.7)). No differences were observed based on 3rd trimester adequacy. No differences were observed in IQ scores by quintile of weight gain for any trimester, particularly after adjustment for maternal IQ. CONCLUSIONS Our findings are reassuring that among normal weight women, pregnancy weight gain is not associated with child cognitive development. Further investigation should be conducted in contemporary cohorts that also include obese mothers, who are at the greatest risk for low weight gain.
Collapse
Affiliation(s)
- Stefanie N Hinkle
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Paul S Albert
- Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Lindsey A Sjaarda
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Jagteshwar Grewal
- Office of the Director, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Katherine L Grantz
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| |
Collapse
|
7
|
Lauderdale DS, Chen JH, Kurina LM, Waite LJ, Thisted RA. Sleep duration and health among older adults: associations vary by how sleep is measured. J Epidemiol Community Health 2015; 70:361-6. [PMID: 26530811 DOI: 10.1136/jech-2015-206109] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Accepted: 10/15/2015] [Indexed: 11/04/2022]
Abstract
BACKGROUND Cohort studies have found that short and long sleep are both associated with worse outcomes, compared with intermediate sleep times. While demonstrated biological mechanisms could explain health effects for short sleep, long-sleep risk is puzzling. Most studies reporting the U shape use a single question about sleep duration, a measurement method that does not correlate highly with objectively measured sleep. We hypothesised that the U shape, especially the poor outcomes for long sleepers, may be an artefact of how sleep is measured. METHODS We examined the cross-sectional prevalence of fair/poor health by sleep hour categories (≤ 6, ≤ 7, ≤ 8, ≤ 9, > 9 h) in a national US sample of adults aged 62-90 that included several types of sleep measures (n = 727). Survey measures were: a single question; usual bedtimes and waking times; and a 3-day sleep log. Actigraphy measures were the sleep interval and total sleep time. Fair/poor health was regressed on sleep hour categories adjusted for demographics, with tests for both linear trend and U shape. RESULTS Adjusted OR of fair/poor health across sleep hour categories from the single question were 4.6, 2.2, referent (8 h), 1.8 and 6.9. There was high prevalence of fair/poor health for ≤ 6 h for all sleep measures, but the long-sleep effect was absent for sleep logs and actigraphy measures. CONCLUSIONS Associations between long sleep and poor health may be specific to studies measuring sleep with survey questions. As cohorts with actigraphy mature, our understanding of how sleep affects health may change.
Collapse
Affiliation(s)
- Diane S Lauderdale
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| | - Jen-Hao Chen
- Department of Health Sciences, University of Missouri, Columbia, Missouri, USA
| | - Lianne M Kurina
- Department of General Medical Disciplines, Stanford University School of Medicine, Palo Alto, California, USA
| | - Linda J Waite
- Department of Sociology, University of Chicago, Chicago, Illinois, USA
| | - Ronald A Thisted
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois, USA
| |
Collapse
|
10
|
Abstract
OBJECTIVE Five core domains have been endorsed by Outcome Measures in Rheumatology (OMERACT) for acute gout: pain, joint swelling, joint tenderness, patient global assessment, and activity limitation. We evaluated instruments for these domains according to the OMERACT filter: truth, feasibility, and discrimination. METHODS A systematic search strategy for instruments used to measure the acute gout core domains was formulated. For each method, articles were assessed by 2 reviewers to summarize information according to the specific components of the OMERACT filter. RESULTS Seventy-seven articles and abstracts met the inclusion criteria. Pain was most frequently reported (76 studies, 20 instruments). The pain instruments used most often were 100 mm visual analog scale (VAS) and 5-point Likert scale. Both methods have high feasibility, face and content validity, and within- and between-group discrimination. Four-point Likert scales assessing index joint swelling and tenderness have been used in numerous acute gout studies; these instruments are feasible, with high face and content validity, and show within- and between-group discrimination. Five-point Patient Global Assessment of Response to Treatment (PGART) scales are feasible and valid, and show within- and between-group discrimination. Measures of activity limitations were infrequently reported, and insufficient data were available to make definite assessments of the instruments for this domain. CONCLUSION Many different instruments have been used to assess the acute gout core domains. Pain VAS and 5-point Likert scales, 4-point Likert scales of index joint swelling and tenderness and 5-point PGART instruments meet the criteria for the OMERACT filter.
Collapse
Affiliation(s)
- Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Cathy S Zhong
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Rebecca Grainger
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - Dinesh Khanna
- Division of Rheumatology, University of Michigan, Ann Arbor, MI, USA
| | - Puja P Khanna
- Division of Rheumatology, University of Michigan, Ann Arbor, MI, USA
| | - Jasvinder A Singh
- Birmingham Veterans Affairs Medical Center and University of Alabama at Birmingham, Birmingham, AL. USA
| | - Fiona M McQueen
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - William J Taylor
- Department of Medicine, University of Otago, Wellington, New Zealand
| |
Collapse
|