Literature DB >> 33538939

Psychometric properties of a condition-specific PROM for the psychosocial consequences of Labelling hypertension by using Rasch analysis.

János Valery Gyuricza1,2, Karl Bang Christensen3, Ana Flávia Pires Lucas d'Oliveira4, John Brodersen5,6.   

Abstract

BACKGROUND: A previous qualitative assessment of the psychosocial consequences of labelling hypertension describes the diagnosis of hypertension as a labelling event with potential unintended negative long-term psychosocial consequences (labelling effects). Until now, the benefits of diagnosing hypertension have been far more reported than the harms. To obtain the net result of the preventive interventions for cardiovascular disease, such as diagnosing and treating mild hypertension, assessing benefits and harms in the most comprehensive way possible is necessary, including the psychosocial consequences of labelling. When measuring psychosocial consequences of labelling hypertension, a questionnaire with high content validity and adequate psychometric properties is needed.
OBJECTIVES: The aim of this study was to describe the psychometric parameters of face and content-validated pool of items. Other objectives were also to screen the item pool by using Rasch model analysis and confirmatory factor analysis (CFA) for identifying such items with sufficient fit to the hypothesised models.
METHODS: We surveyed the pool of items as a draft questionnaire to Brazilians recruited via social networks, sending e-mails, WhatsApp® messages and posting on Facebook®. The inclusion criteria were to be older than 18 years old, to be healthy and to have only hypertension. We used Rasch model analysis to screen the item pool, discarding items that did not fit the hypothesised domain. We searched for local dependence and differential item functioning. We used CFA to confirm the derived measurement models and complementarily assessed reliability using Cronbach's coefficient alpha.
RESULTS: The validation sample consisted of 798 respondents. All 798 respondents completed Part I, whereas 285 (35.7%)-those with hypertension-completed Part II. A condition-specific questionnaire with high content validity and adequate psychometric properties was developed for people labelled with hypertension. This measure is called 'Consequences of Labelling Hypertension Questionnaire' and covers the psychosocial consequences of labelling hypertension in two parts, encompassing a total of 71 items in 15 subscales and 11 single items.
CONCLUSION: We developed a tool that can be used in future research involving hypertension, especially in scenarios of screening, prevention, population strategies and in intervention studies. Future use and testing of the questionnaire may still be required.

Entities:  

Keywords:  Hypertension; Patient-reported outcome; Psychometric properties; Psychosocial consequences

Year:  2021        PMID: 33538939      PMCID: PMC7862460          DOI: 10.1186/s41687-021-00291-4

Source DB:  PubMed          Journal:  J Patient Rep Outcomes        ISSN: 2509-8020


  31 in total

Review 1.  Controversy and the Rasch model: a characteristic of incompatible paradigms?

Authors:  David Andrich
Journal:  Med Care       Date:  2004-01       Impact factor: 2.983

2.  Conceptualizing and defining outcome.

Authors:  A Tennant; S P McKenna
Journal:  Br J Rheumatol       Date:  1995-10

3.  Whose quality of life? Ethical implications in patient-reported health outcome measurement.

Authors:  Peter Hagell; Jan Reimer; Per Nyberg
Journal:  Value Health       Date:  2009-01-12       Impact factor: 5.725

Review 4.  The adequacy of measurement of short and long-term consequences of false-positive screening mammography.

Authors:  John Brodersen; Hanne Thorsen; Jill Cockburn
Journal:  J Med Screen       Date:  2004       Impact factor: 2.136

5.  Patient-reported outcomes (PROs): putting the patient perspective in patient-centered outcomes research.

Authors:  Claire F Snyder; Roxanne E Jensen; Jodi B Segal; Albert W Wu
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

6.  Rasch analysis of the Knee injury and Osteoarthritis Outcome Score (KOOS): a statistical re-evaluation.

Authors:  J Comins; J Brodersen; M Krogsgaard; N Beyer
Journal:  Scand J Med Sci Sports       Date:  2007-11-19       Impact factor: 4.221

7.  Consequences of Screening in Breast Cancer (COS-BC): development of a questionnaire.

Authors:  John Brodersen; Hanne Thorsen
Journal:  Scand J Prim Health Care       Date:  2008       Impact factor: 2.581

8.  Need to combine individual strategies with population-level strategies in the prevention of coronary heart disease.

Authors:  Johan Lerbech Vinther; Torben Jørgensen; Anders Borglykke
Journal:  Dan Med J       Date:  2013-10       Impact factor: 1.240

9.  Measuring the psychosocial consequences of screening.

Authors:  John Brodersen; Stephen P McKenna; Lynda C Doward; Hanne Thorsen
Journal:  Health Qual Life Outcomes       Date:  2007-01-08       Impact factor: 3.186

10.  Hypertension in general practice.

Authors:  G Pickering
Journal:  J R Soc Med       Date:  1978-12       Impact factor: 18.000

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