Literature DB >> 22273247

Using qualitative research to inform the development of a comprehensive outcomes assessment for asthma.

Diane M Turner-Bowker1, Renee N Saris-Baglama, Michael A Derosa, Christine A Paulsen, Christopher P Bransfield.   

Abstract

BACKGROUND: : Qualitative research can inform the development of asthma patient-reported outcome (PRO) measures and user-friendly technologies through defining measurement constructs, identifying potential limitations in measurement and sources of response error, and evaluating usability.
OBJECTIVE: : To inform the development of a comprehensive asthma PRO assessment with input from patients and clinical experts.
METHODS: : Self-reported adult asthma patients recruited from a 3000-member New England area research panel participated in either one of three focus groups (n = 21) or individual cognitive item debriefing interviews (n = 20) to discuss how asthma impacts their health-related quality of life (HR-QOL), and provide feedback on a preliminary set of asthma impact survey items and prototype patient reports. Focus groups and cognitive interviews were conducted using traditional research principles (e.g. semi-structured interview guide, probing, and think aloud techniques). An expert advisory panel (n = 12) including asthma clinical specialists and measurement professionals was convened to review results from the focus group and cognitive interview studies, and make recommendations for final survey and report development.
RESULTS: : Domains of health impacted by asthma included physical (recreation, play, competitive sports, and exercise), social (activities, family relationships), emotional (anger, upset, frustration, anxiety, worry), sleep, role (recreational/leisure activities, work), and sexual functioning. Most items in the impact survey were easily understood, covered important content, and included relevant response options. Items with contradictory examples and multiple concepts were difficult to comprehend. Suggestions were made to expand survey content by including additional items on physical and sexual functioning, sleep, self-consciousness, stigma, and finances. Reports were considered useful and participants saw value in sharing the results with their doctors. Graphic presentation of scores was not always understood; participants preferred tabular presentation of score levels with associated interpretative text. Display of inverse scores for different measures (higher scores equaling better health on one scale and worse health on another) shown on a single page was confusing. The score history section of the report was seen as helpful for monitoring progress over time, particularly for those recently diagnosed with asthma.Expert panelists agreed that displaying inverse scores in a single summary report could be confusing to patients and providers. They also stressed the importance of comprehensive interpretation guidelines for patients, with an emphasis on what they should do next based on scores. Panelists made recommendations for provider and aggregate-level reports (e.g. 'red flags' to indicate significant score changes or cut points of significance; identification of subgroups that have scored poorly or recently got worse).
CONCLUSION: : Incorporating input from patients, clinicians, and measurement experts in the early stages of product development should improve the construct validity of this PRO measure and enhance its practical application in healthcare.

Entities:  

Year:  2009        PMID: 22273247     DOI: 10.2165/11313840-000000000-00000

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.883


  46 in total

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Authors:  Elena T Carbone; Marci K Campbell; Lauren Honess-Morreale
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2.  Understanding reasons for asthma outpatient (non)-attendance and exploring the role of telephone and e-consulting in facilitating access to care: exploratory qualitative study.

Authors:  J D van Baar; H Joosten; J Car; G K Freeman; M R Partridge; C van Weel; A Sheikh
Journal:  Qual Saf Health Care       Date:  2006-06

3.  A scale for the measurement of quality of life in adults with asthma.

Authors:  G B Marks; S M Dunn; A J Woolcock
Journal:  J Clin Epidemiol       Date:  1992-05       Impact factor: 6.437

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Authors:  Karon F Cook; Kimberly J O'Malley; Toni S Roddey
Journal:  Health Serv Res       Date:  2005-10       Impact factor: 3.402

5.  Methodological issues for building item banks and computerized adaptive scales.

Authors:  David Thissen; Bryce B Reeve; Jakob Bue Bjorner; Chih-Hung Chang
Journal:  Qual Life Res       Date:  2007-02-10       Impact factor: 4.147

6.  Development of a computer-adaptive test for depression (D-CAT).

Authors:  Herbert Fliege; Janine Becker; Otto B Walter; Jakob B Bjorner; Burghard F Klapp; Matthias Rose
Journal:  Qual Life Res       Date:  2005-12       Impact factor: 4.147

7.  Exasperations" of asthma: a qualitative study of patient language about worsening asthma.

Authors:  Stephen D Vincent; Brett G Toelle; Rosalie A Aroni; Christine R Jenkins; Helen K Reddel
Journal:  Med J Aust       Date:  2006-05-01       Impact factor: 7.738

8.  A qualitative study of the attitudes of patients and staff to the use of mobile phone technology for recording and gathering asthma data.

Authors:  Jennifer Cleland; Jan Caldow; Dermot Ryan
Journal:  J Telemed Telecare       Date:  2007       Impact factor: 6.184

9.  Improving patient reported outcomes using item response theory and computerized adaptive testing.

Authors:  Eliza F Chakravarty; Jakob B Bjorner; James F Fries
Journal:  J Rheumatol       Date:  2007-06       Impact factor: 4.666

10.  An evaluation of patient-reported outcomes found computerized adaptive testing was efficient in assessing stress perception.

Authors:  Rüya-Daniela Kocalevent; Matthias Rose; Janine Becker; Otto B Walter; Herbert Fliege; Jakob B Bjorner; Dieter Kleiber; Burghard F Klapp
Journal:  J Clin Epidemiol       Date:  2008-07-18       Impact factor: 6.437

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1.  Patient and provider perspectives on uptake of a shared decision making intervention for asthma in primary care practices.

Authors:  Madelyn Welch; Thomas Ludden; Kathleen Mottus; Paul Bray; Lori Hendrickson; Jennifer Rees; Jacqueline Halladay; Hazel Tapp
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2.  Cognitive testing and readability of an item bank for measuring the impact of headache on health-related quality of life.

Authors:  Diane M Turner-Bowker; Renee N Saris-Baglama; Michael A Derosa; Christine A Paulsen
Journal:  Patient       Date:  2012       Impact factor: 3.883

3.  Qualitative approaches to understanding patient preferences.

Authors:  Rachael Gooberman-Hill
Journal:  Patient       Date:  2012       Impact factor: 3.883

4.  Standardizing disease-specific quality of life measures across multiple chronic conditions: development and initial evaluation of the QOL Disease Impact Scale (QDIS®).

Authors:  John E Ware; Barbara Gandek; Rick Guyer; Nina Deng
Journal:  Health Qual Life Outcomes       Date:  2016-06-02       Impact factor: 3.186

5.  What types of dissemination of information occurred between researchers, providers and clinical staff while implementing an asthma shared decision-making intervention: a directed content analysis.

Authors:  Thomas Ludden; Lindsay Shade; Madelyn Welch; Jacqueline Halladay; Katrina E Donahue; Tamera Coyne-Beasley; Paul Bray; Hazel Tapp
Journal:  BMJ Open       Date:  2020-03-08       Impact factor: 2.692

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