Literature DB >> 14651414

A study of the feasibility of Internet administration of a computerized health survey: the headache impact test (HIT).

M S Bayliss1, J E Dewey, I Dunlap, A S Batenhorst, R Cady, M L Diamond, F Sheftell.   

Abstract

BACKGROUND: Headache impact test (HIT) is a precise, practical tool that quantifies the impact of headache on respondents' lives. It is the first widely-available dynamic health assessment (DynHA). Applications of this brief, precise survey include population based screening for disabling headaches, tracking of individual patient scores over time, disease management programs and others. We use data from Internet HIT assessments during the fall of 2000 to (1) evaluate characteristics of respondents and assessments, (2) assess the utility of joint administration of HIT and the SF-8 Health Survey (SF-8) to screen for migraine and depression, and (3) explore associations between HIT scores and subsequent healthcare-related attitudes and behaviors.
METHODS: We analyzed Internet HIT surveys completed between 9/1 and 11/30/2000 (n = 19,195). Subsamples include respondents who also completed (1) a 12-item Internet survey assessing severity, frequency, cause and management of headaches; (2) an e-mail survey measuring healthcare-related behaviors; (3) the SF-8; or (4) the website registration process, providing age and gender data. We used analysis of variance (ANOVA) to evaluate HIT score differences associated with age, gender, headache severity or frequency, and healthcare-related behaviors and attitudes and chi2 tests to assess the prevalence and comorbidity of migraine and depression.
RESULTS: Three-quarters of respondents achieved a precise HIT score in < or = 5 items. Most had moderate/severe headaches; 65% had headaches at least monthly. HIT scores were directly related to headache severity and frequency. Most respondents were females, with significantly higher HIT scores than males. Most HIT respondents were between ages 25 and 54 (HIT scores were higher for younger respondents). Sixty four percent screened positive for migraine; 20% for depression. Both conditions were more prevalent among females than males. Comorbid migraine and depression was 50% more prevalent among females and increased with age until age 50. Patients with worse headache impact were more likely to seek care, discuss headaches with their providers and find HIT useful.
CONCLUSIONS: It is feasible to use Internet-based dynamic assessments to measure health status. These data complement previous results showing that HIT differentiates respondents according to headache characteristics (severity and frequency). HIT plus SF-8 yields a practical screen for migraine and depression in headache patients and may lead to more effective treatment for patients with these conditions. Preliminary findings suggest that the experience of taking HIT on the Internet may motivate headache patients to seek care and discuss headaches with their providers.

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Mesh:

Year:  2003        PMID: 14651414     DOI: 10.1023/a:1026167214355

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  11 in total

1.  Practical implications of item response theory and computerized adaptive testing: a brief summary of ongoing studies of widely used headache impact scales.

Authors:  J E Ware; J B Bjorner; M Kosinski
Journal:  Med Care       Date:  2000-09       Impact factor: 2.983

2.  Migraine, major depression and panic disorder: a prospective epidemiologic study of young adults.

Authors:  N Breslau; G C Davis
Journal:  Cephalalgia       Date:  1992-04       Impact factor: 6.292

3.  Classification and diagnostic criteria for headache disorders, cranial neuralgias and facial pain. Headache Classification Committee of the International Headache Society.

Authors: 
Journal:  Cephalalgia       Date:  1988       Impact factor: 6.292

4.  Migraine and psychopathology. Results of the Zurich cohort study of young adults.

Authors:  K R Merikangas; J Angst; H Isler
Journal:  Arch Gen Psychiatry       Date:  1990-09

5.  Headache and major depression: is the association specific to migraine?

Authors:  N Breslau; L R Schultz; W F Stewart; R B Lipton; V C Lucia; K M Welch
Journal:  Neurology       Date:  2000-01-25       Impact factor: 9.910

6.  Applications of computerized adaptive testing (CAT) to the assessment of headache impact.

Authors:  John E Ware; Mark Kosinski; Jakob B Bjorner; Martha S Bayliss; Alice Batenhorst; Carl G H Dahlöf; Stewart Tepper; Andrew Dowson
Journal:  Qual Life Res       Date:  2003-12       Impact factor: 4.147

7.  Calibration of an item pool for assessing the burden of headaches: an application of item response theory to the headache impact test (HIT).

Authors:  Jakob B Bjorner; Mark Kosinski; John E Ware
Journal:  Qual Life Res       Date:  2003-12       Impact factor: 4.147

8.  A comparison of three psychiatric screening tests using receiver operating characteristic (ROC) analysis.

Authors:  M C Weinstein; D M Berwick; P A Goldman; J M Murphy; A J Barsky
Journal:  Med Care       Date:  1989-06       Impact factor: 2.983

Review 9.  Migraine: association with personality characteristics and psychopathology.

Authors:  S D Silberstein; R B Lipton; N Breslau
Journal:  Cephalalgia       Date:  1995-10       Impact factor: 6.292

10.  Performance of a five-item mental health screening test.

Authors:  D M Berwick; J M Murphy; P A Goldman; J E Ware; A J Barsky; M C Weinstein
Journal:  Med Care       Date:  1991-02       Impact factor: 2.983

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  23 in total

1.  Development of an item bank and computer adaptive test for role functioning.

Authors:  Milena D Anatchkova; Matthias Rose; John E Ware; Jakob B Bjorner
Journal:  Qual Life Res       Date:  2011-12-06       Impact factor: 4.147

2.  Developing tailored instruments: item banking and computerized adaptive assessment.

Authors:  Jakob Bue Bjorner; Chih-Hung Chang; David Thissen; Bryce B Reeve
Journal:  Qual Life Res       Date:  2007-02-15       Impact factor: 4.147

3.  Issues in the design of Internet-based systems for collecting patient-reported outcomes.

Authors:  James B Jones; Claire F Snyder; Albert W Wu
Journal:  Qual Life Res       Date:  2007-08-01       Impact factor: 4.147

4.  Pain processing in patients with migraine: an event-related fMRI study during trigeminal nociceptive stimulation.

Authors:  Antonio Russo; Alessandro Tessitore; Fabrizio Esposito; Laura Marcuccio; Alfonso Giordano; Renata Conforti; Andrea Truini; Antonella Paccone; Florindo d'Onofrio; Gioacchino Tedeschi
Journal:  J Neurol       Date:  2012-02-18       Impact factor: 4.849

5.  Assessing the factor structure of a role functioning item bank.

Authors:  Milena D Anatchkova; John E Ware; Jakob B Bjorner
Journal:  Qual Life Res       Date:  2010-12-12       Impact factor: 4.147

6.  A randomized trial of a web-based intervention to improve migraine self-management and coping.

Authors:  Jonas Bromberg; Mollie E Wood; Ryan A Black; Daniel A Surette; Kevin L Zacharoff; Emil J Chiauzzi
Journal:  Headache       Date:  2012-02       Impact factor: 5.887

7.  Evaluation of a role functioning computer adaptive test (RF-CAT).

Authors:  M Anatchkova; M Rose; J Ware; J B Bjorner
Journal:  Qual Life Res       Date:  2012-06-14       Impact factor: 4.147

8.  Development and preliminary testing of a computerized adaptive assessment of chronic pain.

Authors:  Milena D Anatchkova; Renee N Saris-Baglama; Mark Kosinski; Jakob B Bjorner
Journal:  J Pain       Date:  2009-09       Impact factor: 5.820

9.  Applications of computerized adaptive testing (CAT) to the assessment of headache impact.

Authors:  John E Ware; Mark Kosinski; Jakob B Bjorner; Martha S Bayliss; Alice Batenhorst; Carl G H Dahlöf; Stewart Tepper; Andrew Dowson
Journal:  Qual Life Res       Date:  2003-12       Impact factor: 4.147

10.  Evaluation of a computer-adaptive test for the assessment of depression (D-CAT) in clinical application.

Authors:  Herbert Fliege; Janine Becker; Otto B Walter; Matthias Rose; Jakob B Bjorner; Burghard F Klapp
Journal:  Int J Methods Psychiatr Res       Date:  2009       Impact factor: 4.035

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