Evidence map›Paper›PMID 34037917›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2022

Development of a preference-based heart disease-specific health state classification system using MacNew heart disease-related quality of life instrument.

Sanjeewa Kularatna, Donna Rowen, Clara Mukuria, Steven McPhail, Gang Chen, Brendan Mulhern, Jennifer A Whitty, Joshua Byrnes, Paul Scuffham, John Atherton and 2 more

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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Measurement properties of utility-based health-related quality of life measures in cardiac rehabilitation and secondary prevention programs: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Pooled it
  2. Mapping Kansas City cardiomyopathy, Seattle Angina, and minnesota living with heart failure to the MacNew-7D in patients with heart disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  3. Rasch validation of the short form (8 item) PC-QoL questionnaire and applicability of use as a health state classification system for a new preference-based measure.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 3 countries.

Sanjeewa KularatnaAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove Queensland 4156, Kelvin Grove, Australia. sanjeewa.kularatna@qut.edu.au.ORCID http://orcid.org/0000-0001-5650-154X
Donna RowenSchool of Health and Related Research, the University of Sheffield, Sheffield, England.
Clara MukuriaSchool of Health and Related Research, the University of Sheffield, Sheffield, England.
Steven McPhailAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove Queensland 4156, Kelvin Grove, Australia.
Gang ChenCentre for Health Economics, Monash University, Clayton, Australia.
Brendan MulhernUniversity of Technology Sydney, Ultimo, Australia.
Jennifer A WhittyHealth Economics Group, Norwich Medical School, University of East Anglia, Norwich, Norfolk, UK.
Joshua ByrnesCentre for Applied Health Economics, Griffith University, Nathan, Australia.
Paul ScuffhamCentre for Applied Health Economics, Griffith University, Nathan, Australia.
John AthertonRoyal Brisbane and Women's Hospital, Metro North Hospital and Health Services, Herston, Australia.
Stefan HöferMedical University Innsbruck, Innsbruck, Austria.
William ParsonageAustralian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove Queensland 4156, Kelvin Grove, Australia.
Queensland University of Technology · AUGriffith University · AUUniversity of Sheffield · GBInnsbruck Medical University · ATMonash University · AURoyal Brisbane and Women's Hospital · AUUniversity of East Anglia · GBUniversity of Technology Sydney · AU

Funding

Heart Foundation Australia 2016/101407
6 · The paper itself

Abstract

purposeThe MacNew Heart Disease Health-Related Quality of Life Instrument (MacNew) is a validated, clinically sensitive, 27-item disease-specific questionnaire. This study aimed to develop a new heart disease-specific classification system for the MacNew amenable for use in health state valuation.

methodsPatients with heart disease attending outpatient clinics and inpatient wards in Brisbane, Australia, completed MacNew. The development of the new disease-specific classification system included three stages. First, a principal component analysis (PCA) established dimensionality. Second, Rasch analysis was used to select items for each dimension. Third, Rasch analysis was used to explore response-level reduction. In addition, clinician and patient judgement informed item selection.

resultsParticipants included 685 patients (acute coronary 6%, stable coronary 41%, chronic heart failure 20%). The PCA identified 4 dimensions (restriction, emotion, perception of others, and symptoms). The restriction dimension was divided into physical and social dimensions. One item was selected from each to be included in the classification system. Three items from the emotional dimension and two symptom items were also selected. The final classification system had seven dimensions with four severity levels in each: physical restriction; excluded from doing things with other people; worn out or low in energy; frustrated, impatient or angry; unsure and lacking in self-confidence; shortness of breath; and chest pain.

conclusionThis study generated a brief heart disease-specific classification system, consisting of seven dimensions with four severity levels in each. The classification system is amenable to valuation to enable the generation of utility value sets to be developed for use in economic evaluation.

Indexed as

Heart DiseasesHeart FailureHumansPsychometricsQuality of LifeSurveys and Questionnaires

Identifiers

PMID34037917
OpenAlexW3165205140

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.