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      Validation of the Headache Impact Test (HIT-6™) across episodic and chronic migraine

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          Abstract

          Objective: The purpose of this study was to assess psychometric properties of the six-item Headache Impact Text (HIT-6™) across episodic and chronic migraine.

          Methods: Using a migraine screener and number of headache days per month (HDPM), participants from the National Survey of Headache Impact (NSHI) study and the HIT-6 validation study (HIT6-V) were selected for this study. Eligible participants were categorized into three groups: chronic migraine (CM: ≥ 15 HDPM); episodic migraine (EM: < 15 HDPM); non-migraine headaches. Reliability and validity of the HIT-6 were evaluated.

          Results: A total of 2,049 survey participants met the inclusion/exclusion criteria for this study. Participants were identified as 6.4% CM; 42.1% EM; 51.5% non-migraine, with respective mean HIT-6 scores: 62.5 ± 7.8; 60.2 ± 6.8; and 49.1 ± 8.7. High reliability was demonstrated with internal consistency (time1/time2) of 0.83/0.87 in NSHI, and 0.82/0.92 in HIT6-V. Intra-class correlation for test-retest reliability was very good at 0.77. HIT-6 scores correlated significantly ( p < .0001) with total Migraine Disability Assessment Scale scores ( r = 0.56), headache pain severity ( r = 0.46), and HDPM ( r = 0.29). Discriminant validity analysis showed significantly different HIT-6 scores ( F = 488.02, p < .0001) across the groups.

          Conclusion: Results from these analyses confirm that the HIT-6 is a reliable and valid tool for discriminating headache impact across episodic and chronic migraine.

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          Most cited references35

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          The International Classification of Headache Disorders: 2nd edition.

          (2004)
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            A six-item short-form survey for measuring headache impact: the HIT-6.

            Migraine and other severe headaches can cause suffering and reduce functioning and productivity. Patients are the best source of information about such impact. To develop a new short form (HIT-6) for assessing the impact of headaches that has broad content coverage but is brief as well as reliable and valid enough to use in screening and monitoring patients in clinical research and practice. HIT-6 items were selected from an existing item pool of 54 items and from 35 items suggested by clinicians. Items were selected and modified based on content validity, item response theory (IRT) information functions, item internal consistency, distributions of scores, clinical validity, and linguistic analyses. The HIT-6 was evaluated in an Internet-based survey of headache sufferers (n = 1103) who were members of America Online (AOL). After 14 days, 540 participated in a follow-up survey. HIT-6 covers six content categories represented in widely used surveys of headache impact. Internal consistency, alternate forms, and test-retest reliability estimates of HIT-6 were 0.89, 0.90, and 0.80, respectively. Individual patient score confidence intervals (95%) of app. +/-5 were observed for 88% of all respondents. In tests of validity in discriminating across diagnostic and headache severity groups, relative validity (RV) coefficients of 0.82 and 1.00 were observed for HIT-6, in comparison with the Total Score. Patient-level classifications based in HIT-6 were accurate 88.7% of the time at the recommended cut-off score for a probability of migraine diagnosis. HIT-6 was responsive to self-reported changes in headache impact. The IRT model estimated for a 'pool' of items from widely used measures of headache impact was useful in constructing an efficient, reliable, and valid 'static' short form (HIT-6) for use in screening and monitoring patient outcomes.
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              Assessing proportionality in the proportional odds model for ordinal logistic regression.

              R. Brant (1990)
              The proportional odds model for ordinal logistic regression provides a useful extension of the binary logistic model to situations where the response variable takes on values in a set of ordered categories. The model may be represented by a series of logistic regressions for dependent binary variables, with common regression parameters reflecting the proportional odds assumption. Key to the valid application of the model is the assessment of the proportionality assumption. An approach is described arising from comparisons of the separate (correlated) fits to the binary logistic models underlying the overall model. Based on asymptotic distributional results, formal goodness-of-fit measures are constructed to supplement informal comparisons of the different fits. A number of proposals, including application of bootstrap simulation, are discussed and illustrated with a data example.
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                Author and article information

                Journal
                Cephalalgia
                CEP
                spcep
                Cephalalgia
                SAGE Publications (UK )
                0333-1024
                1468-2982
                February 2011
                February 2011
                : 31
                : 3
                : 357-367
                Affiliations
                [1 ]QualityMetric, Inc., USA.
                [2 ]Allergan, Inc., USA.
                Author notes
                [*]Min Yang, QualityMetric, Inc., 24 Albion Road, Building 400, Lincoln, RI 02865-4207 USA Email: myang@ 123456analysisgroup.com
                Article
                10.1177_0333102410379890
                10.1177/0333102410379890
                3057423
                20819842
                09cd44b9-c1e6-419a-a07e-223eb2e40c69
                © International Headache Society 2011. Published by SAGE. All rights reserved. SAGE Publications

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 November 2009
                : 25 June 2010
                : 25 June 2010
                Categories
                Original Articles

                Neurology
                episodic migraine,headache,chronic migraine,migraine,hit-6
                Neurology
                episodic migraine, headache, chronic migraine, migraine, hit-6

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