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Quality of Life Research

Gepubliceerd in:

25-10-2022

Development of the functional assessment of migraine scale using a patient guided approach

Auteurs: Erin M. Buchanan, Heather R. Manley, James S. Sly, Ryan J. Cady, Addie Wikowsky, Ari L. Cunningham

Gepubliceerd in: Quality of Life Research | Uitgave 3/2023

Abstract

Purpose

A better understanding of the multi-dimensional burden and impact of migraine has grown over recent years, yet the tools used to measure these concepts have not been updated to reflect such findings. Additionally, due to the increase in the number of both prophylactic and acute therapeutic options for migraine, a comprehensive assessment of treatment response is necessary. The goal of this project was to develop a patient guided outcome measure which evaluates patient identified efficacy factors when appraising migraine treatment response.

Methods

A group of patients with migraine (N = 10) were given an in-person semi-structured interview collecting information regarding a patient’s perspective on meaningful response to headache and migraine treatment. Using the patient information collected during these interviews, a set of questions aimed at evaluating meaningful response were developed. Two additional groups (N = 100, 200) of patients with migraine then provided feedback on the drafted questions in an online setting.

Results

Interviews indicated thematic areas of interest to patients with migraine are not commonly assessed on popular measures. Over two hundred items were developed to assess thematic areas indicated by patients. Factor analysis used on the focus groups’ results led to the development of an 18-item scale (Functional Assessment of Migraine Scale-Research: FAMS-R) that assesses the impact of migraine on a patient and shows the potential to measure treatment response.

Conclusion

The FAMS portrays promising results at measuring a multi-faceted migraine treatment response and disease impact.

vorige artikel Development of a self-report measure of cognitive change: assessment of interpretability in two samples, people with HIV and people without HIV

volgende artikel An explanatory sequential mixed-methods design to establish thresholds of within-individual meaningful change on a sleep disturbance numerical rating scale score in atopic dermatitis

Alleen toegankelijk voor geautoriseerde gebruikers

This item was presented as please indicate all headache/migraine diagnoses that you have received from a medical professional. Participants could indicate both chronic and episodic, as well as list other options. Therefore, percentages represent percent of the total sample that checked each box.

This item was presented as the multiple select described in the previous experiment.

Steiner, T. J., Stovner, L. J., Vos, T., Jensen, R., & Katsarava, Z. (2018). Migraine is first cause of disability in under 50s: Will health politicians now take notice? The Journal of Headache and Pain, 19(1), 17. https://doi.org/10.1186/s10194-018-0846-2CrossRefPubMedPubMedCentral

Lipton, R. B., Hamelsky, S. W., & Dayno, J. M. (2002). What do patients with migraine want from acute migraine treatment? Headache, 42(s1), 3–9. https://doi.org/10.1046/j.1526-4610.2002.0420s1003.xCrossRefPubMed

Davies, G. M., Santanello, N., & Lipton, R. (2000). Determinants of patient satisfaction with migraine therapy. Cephalalgia, 20(6), 554–560. https://doi.org/10.1046/j.1468-2982.2000.00082.xCrossRefPubMed

Von Korff, M., Stewart, W. F., Simon, D. J., & Lipton, R. B. (1998). Migraine and reduced work performance: A population-based diary study. Neurology, 50(6), 1741–1745. https://doi.org/10.1212/WNL.50.6.1741CrossRef

Serrano, D., Manack, A. N., Reed, M. L., Buse, D. C., Varon, S. F., & Lipton, R. B. (2013). Cost and predictors of lost productive time in chronic migraine and episodic migraine: Results from the American Migraine Prevalence and Prevention (AMPP) Study. Value in Health, 16(1), 31–38. https://doi.org/10.1016/j.jval.2012.08.2212CrossRefPubMed

Bonafede, M., Sapra, S., Shah, N., Tepper, S., Cappell, K., & Desai, P. (2018). Direct and indirect healthcare resource utilization and costs among migraine patients in the United States. Headache: The Journal of Head and Face Pain, 58(5), 700–714. https://doi.org/10.1111/head.13275CrossRef

Dodick, D. W., Loder, E. W., Manack Adams, A., Buse, D. C., Fanning, K. M., Reed, M. L., & Lipton, R. B. (2016). Assessing barriers to chronic migraine consultation, diagnosis, and treatment: Results from the Chronic Migraine Epidemiology and Outcomes (CaMEO) study. Headache, 56(5), 821–834. https://doi.org/10.1111/head.12774CrossRefPubMedPubMedCentral

D’Amico, D., & Tepper, S. J. (2008). Prophylaxis of migraine: General principles and patient acceptance. Neuropsychiatric Disease and Treatment. https://doi.org/10.2147/ndt.s3497CrossRefPubMedPubMedCentral

Vladetić, M., Jančuljak, D., Butković Soldo, S., Kralik, K., & Buljan, K. (2017). Health-related quality of life and ways of coping with stress in patients with migraine. Neurological Sciences, 38(2), 295–301. https://doi.org/10.1007/s10072-016-2759-7CrossRefPubMed

10.

Kosinski, M., Bayliss, M. S., Bjorner, J. B., Ware, J. E., Jr., Garber, W. H., Batenhorst, A., & Tepper, S. (2003). A six-item short-form survey for measuring headache impact: The HIT-6™. Quality of Life Research, 12(8), 963–974. https://doi.org/10.1023/A:1026119331193CrossRefPubMed

11.

Revicki, D. A., Kimel, M., Beusterien, K., Kwong, J. W., Varner, J. A., Ames, M. H., & Cady, R. K. (2006). Validation of the revised patient perception of migraine questionnaire: Measuring satisfaction with acute migraine treatment. Headache. https://doi.org/10.1111/j.1526-4610.2006.00289.xCrossRefPubMed

12.

Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough?: An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903CrossRef

13.

Griffin, A., & Hauser, J. R. (1993). The Voice of the customer. Marketing Science, 12(1), 1–27. https://doi.org/10.1287/mksc.12.1.1CrossRef

14.

Atran, S., Medin, D. L., & Ross, N. O. (2005). The cultural mind: Environmental decision making and cultural modeling within and across populations. Psychological Review, 112(4), 744–776. https://doi.org/10.1037/0033-295X.112.4.744CrossRefPubMed

15.

Buchanan, E. M., Sly, J. S., Manley, H., Cady, R., Wikowsky, A., & Cunningham, A. (2019). Development of the functional assessment of migraine scale using a patient guided approach. Open Science Framework. https://doi.org/10.31219/osf.io/ey326

16.

Gibbs, G. (2012). Thematic coding and categorizing. In G. Gibbs (Ed.), Analyzing qualitative data (pp. 38–55). London: SAGE Publications Ltd.

17.

MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4(1), 84–99. https://doi.org/10.1037/1082-989X.4.1.84CrossRef

18.

Qualtrics. (2019). Qualtrics. Provo, UT.

19.

Preacher, K. J., & MacCallum, R. C. (2003). Repairing Tom Swift’s electric factor analysis machine. Understanding Statistics, 2(1), 13–43. https://doi.org/10.1207/S15328031US0201_02CrossRef

20.

Buchanan, E. M., Valentine, K. D., & Schulenberg, S. E. (n.d.). Exploratory and Confirmatory Factor Analysis: Developing the Purpose in Life Test–Short Form. SAGE Research Methods Cases. https://doi.org/10.4135/978144627305013517794

21.

Mansolf, M., & Reise, S. P. (2016). Exploratory Bifactor Analysis: The Schmid-Leiman orthogonalization and Jennrich-Bentler analytic rotations. Multivariate Behavioral Research, 51(5), 698–717. https://doi.org/10.1080/00273171.2016.1215898CrossRefPubMedPubMedCentral

22.

Jennrich, R. I., & Bentler, P. M. (2011). Exploratory bi-factor analysis. Psychometrika, 76(4), 537–549. https://doi.org/10.1007/s11336-011-9218-4CrossRefPubMedPubMedCentral

23.

Revelle, W. (2017). psych: Procedures for psychological, psychometric, and personality research. Evanston, Illinois.

24.

Yang, M., Rendas-Baum, R., Varon, S. F., & Kosinski, M. (2011). Validation of the Headache Impact Test (HIT-6™) across episodic and chronic migraine. Cephalalgia, 31(3), 357–367. https://doi.org/10.1177/0333102410379890CrossRefPubMedPubMedCentral

25.

Rendas-Baum, R., Yang, M., Varon, S. F., Bloudek, L. M., DeGryse, R. E., & Kosinski, M. (2014). Validation of the Headache Impact Test (HIT-6) in patients with chronic migraine. Health and Quality of Life Outcomes, 12(1), 117. https://doi.org/10.1186/s12955-014-0117-0CrossRefPubMedPubMedCentral

26.

Davis, K. H., Black, L., & Sleath, B. (2002). Validation of the patient perception of migraine questionnaire. Value in Health, 5(5), 422–430. https://doi.org/10.1046/j.1524-4733.2002.55120.xCrossRefPubMed

27.

Kimel, M., Hsieh, R., McCormack, J., Burch, S. P., & Revicki, D. A. (2008). Validation of the revised Patient Perception of Migraine Questionnaire (PPMQ-R): Measuring satisfaction with acute migraine treatment in clinical trials. Cephalalgia, 28(5), 510–523. https://doi.org/10.1111/j.1468-2982.2007.01524.xCrossRefPubMed

28.

Van Buuren, S., & Groothuis-Oudshoorn, K. (2011). mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 45(3), 1–67. https://doi.org/10.18637/jss.v045.i03CrossRef

29.

Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics (6th ed.). Pearson.

30.

Steiger, J. H. (2016). Notes on the Steiger-Lind (1980) handout. Structural Equation Modeling: A Multidisciplinary Journal, 23(6), 777–781. https://doi.org/10.1080/10705511.2016.1217487CrossRef

31.

Jöreskog, K. G., & Sörbom, D. (1981). LISERL 5: Analysis of linear structural relations by the method of maximum likelihood. International Education Services.

32.

Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238CrossRefPubMed

33.

Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1–10. https://doi.org/10.1007/BF02291170CrossRef

34.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118CrossRef

35.

Kincaid, J. P., Fishburne Jr., R. P., Rogers, R. L., & Chissom, B. S. (1975). Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel (No. ADA006655). Fort Belvoir, VA: Defense Technical Information Center. Retrieved from https://apps.dtic.mil/sti/citations/ADA006655

36.

Brown, T. A. (2006). Confirmatory factor analysis for applied research. Methodology in the Social Sciences. The Guilford Press.

37.

Al-Hassany, L., Haas, J., Piccininni, M., Kurth, T., Maassen Van Den Brink, A., & Rohmann, J. L. (2020). Giving researchers a headache—Sex and gender differences in migraine. Frontiers in Neurology, 11, 549038. https://doi.org/10.3389/fneur.2020.549038CrossRefPubMedPubMedCentral

Titel: Development of the functional assessment of migraine scale using a patient guided approach
Auteurs: Erin M. Buchanan
Heather R. Manley
James S. Sly
Ryan J. Cady
Addie Wikowsky
Ari L. Cunningham
Publicatiedatum: 25-10-2022
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 3/2023
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-022-03279-9

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Abstract

Purpose

Methods

Results

Conclusion

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