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      Psychometric validation and meaningful within‐patient change of the Migraine‐Specific Quality of Life questionnaire version 2.1 electronic patient‐reported outcome in patients with episodic and chronic migraine

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          Abstract

          Objective

          To evaluate the measurement properties of all three domains of the Migraine‐Specific Quality of Life questionnaire version 2.1 (MSQ v2.1) electronic patient‐reported outcome (ePRO) to assess the functional impact of migraine in patients with episodic or chronic migraine (CM); and identify meaningful within‐patient change thresholds for the Role Function‐Restrictive (RFR), Role Function‐Preventive (RFP), and Emotional Function (EF) domains.

          Methods

          Data were drawn from three double‐blind, placebo‐controlled, and randomized Phase 3 clinical studies (episodic migraine [EM]: EVOLVE‐1 and EVOLVE‐2; CM: REGAIN). The psychometric properties of the MSQ v2.1 ePRO domains were demonstrated by evaluating reliability (internal consistency and test–retest), construct validity (convergent and known groups), and responsiveness. Meaningful within‐patient change thresholds for domains were estimated using anchor‐based approaches, supplemented by empirical cumulative distribution function curves and probability density function plots to enable interpretation of meaningful change over 3 months. The Patient Global Impression of Severity (PGI‐S) and Patient Global Impression of Improvement served as anchors.

          Results

          A total of 2,850 patients with either EM (EVOLVE‐1: 851; EVOLVE‐2: 909) or CM (REGAIN: 1,090) were included. The Cronbach's alpha estimates of internal consistency exceeded the recommended threshold of ≥0.70 for all domains from the three studies, indicating adequate internal consistency. Test–retest reliability intraclass correlation coefficients were ≥0.80 for all domains across all three studies, demonstrating almost perfect agreement. Convergent validity was supported by moderate‐to‐strong correlation ( r ≥ 0.30) between all domains of MSQ v2.1 ePRO and studied anchors (Migraine Disability Assessment Score and PGI‐S scores) across all three studies. Known group validity was established between all domains and subgroups of patients stratified by baseline PGI‐S scores and baseline number of monthly migraine headache days for all three studies. The 3‐month meaningful within‐patient change thresholds were the same for EM and CM for RFP: 20.00 and EF: 26.67; and for RFR: 25.71.

          Conclusions

          These findings demonstrate that all three domains of the MSQ v2.1 ePRO have sufficient reliability, validity, responsiveness, and appropriate interpretation standards. Our results suggest that MSQ v2.1 ePRO is a well‐defined and reliable patient‐reported outcome instrument that is suitable for use in clinical studies for evaluating the impact of migraine on patient functioning in episodic and CM.

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          Most cited references32

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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

            Summary Background As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016. Methods We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57·6 million (95% uncertainty interval [UI] 40·8–75·9 million [7·2%, 6·0–8·3]), 45·1 million (29·0–62·8 million [5·6%, 4·0–7·2]), 36·3 million (25·3–50·9 million [4·5%, 3·8–5·3]), 34·7 million (23·0–49·6 million [4·3%, 3·5–5·2]), and 34·1 million (23·5–46·0 million [4·2%, 3·2–5·3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2·7% (95% UI 2·3–3·1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from non-communicable diseases has been growing rapidly across all SDI quintiles, partly because of population growth, but also the ageing of populations. The largest absolute increases in total numbers of YLDs globally were between the ages of 40 and 69 years. Age-standardised YLD rates for all conditions combined were 10·4% (95% UI 9·0–11·8) higher in women than in men. Iron-deficiency anaemia, migraine, Alzheimer’s disease and other dementias, major depressive disorder, anxiety, and all musculoskeletal disorders apart from gout were the main conditions contributing to higher YLD rates in women. Men had higher age-standardised rates of substance use disorders, diabetes, cardiovascular diseases, cancers, and all injuries apart from sexual violence. Globally, we noted much less geographical variation in disability than has been documented for premature mortality. In 2016, there was a less than two times difference in age-standardised YLD rates for all causes between the location with the lowest rate (China, 9201 YLDs per 100 000, 95% UI 6862–11943) and highest rate (Yemen, 14 774 YLDs per 100 000, 11 018–19 228). Interpretation The decrease in death rates since 1990 for most causes has not been matched by a similar decline in age-standardised YLD rates. For many large causes, YLD rates have either been stagnant or have increased for some causes, such as diabetes. As populations are ageing, and the prevalence of disabling disease generally increases steeply with age, health systems will face increasing demand for services that are generally costlier than the interventions that have led to declines in mortality in childhood or for the major causes of mortality in adults. Up-to-date information about the trends of disease and how this varies between countries is essential to plan for an adequate health-system response.
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              Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

              Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.
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                Author and article information

                Contributors
                ayer_david_w@lilly.com
                Journal
                Headache
                Headache
                10.1111/(ISSN)1526-4610
                HEAD
                Headache
                John Wiley and Sons Inc. (Hoboken )
                0017-8748
                1526-4610
                22 January 2021
                March 2021
                : 61
                : 3 ( doiID: 10.1111/head.v61.3 )
                : 511-526
                Affiliations
                [ 1 ] Patient‐Centred Research Evidera Bethesda MD USA
                [ 2 ] Global Patient Outcomes and Real World Evidence (GPORWE) Eli Lilly and Company Indianapolis IN USA
                [ 3 ] Global Scientific Communications Eli Lilly Services India Private Limited Bangalore India
                [ 4 ] Patient‐Centered Outcomes Assessment Pfizer Inc New York NY USA
                Author notes
                [*] [* ] Correspondence

                David W. Ayer, Eli Lilly and Company, 893 S. Delaware Street, Indianapolis, IN 46225, USA.

                Email: ayer_david_w@ 123456lilly.com

                Author information
                https://orcid.org/0000-0002-3580-117X
                https://orcid.org/0000-0001-7966-7737
                https://orcid.org/0000-0001-7973-4370
                https://orcid.org/0000-0002-1776-0618
                Article
                HEAD14031
                10.1111/head.14031
                8048965
                33481276
                a1bca4d6-3892-49f6-919c-851349d19e1d
                © 2021 Eli Lilly and Company. Headache: The Journal of Head and Face Pain published by Wiley Periodicals LLC, on behalf of American Headache Society

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 06 October 2020
                : 19 June 2020
                : 06 October 2020
                Page count
                Figures: 2, Tables: 3, Pages: 16, Words: 8813
                Funding
                Funded by: Eli Lilly and Company
                Categories
                Research Submissions
                Research Submissions
                Custom metadata
                2.0
                March 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:15.04.2021

                chronic migraine,episodic migraine,migraine‐specific quality of life questionnaire,patient‐reported outcomes

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