Evidence map›Paper›PMID 24899546›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2014

Minimal evidence of response shift in the absence of a catalyst.

Sara Ahmed, Richard Sawatzky, Jean-Frédéric Levesque, Deborah Ehrmann-Feldman, Carolyn E Schwartz

Abstract read
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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, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. A systematic review of the quality of reporting of simulation studies about methods for the analysis of complex longitudinal patient-reported outcomes data.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Pooled it
  3. Measuring reconceptualization and reprioritization during France's first COVID-19-related lockdown in women with and without a history of cancer: an adaptation of the SeiQol-DW and PGI.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  4. Article
  5. Evaluation of the link between the Guttman errors and response shift at the individual level.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  6. Article
  7. Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  8. Response-shift effects in neuromyelitis optica spectrum disorder: a secondary analysis of clinical trial data.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  9. Article
  10. Observational
  11. Review
  12. Scoping review of response shift methods: current reporting practices and recommendations.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  13. Article
  14. Three-year trajectories of global perceived quality of life for youth with chronic health conditions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  15. Article
  16. An item-level response shift study on the change of health state with the rating of asthma-specific quality of life: a report from the PROMIS(®) Pediatric Asthma Study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  17. Using structural equation modeling to detect response shifts and true change in discrete variables: an application to the items of the SF-36.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    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

5 authors at 5 institutions in 2 countries.

Sara AhmedFaculty of Medicine, School of Physical and Occupational Therapy, McGill University, 3654 Prom Sir-William-Osler, Montreal, QC, H3G 1Y5, Canada, sara.ahmed@mcgill.ca.
Richard Sawatzky
Jean-Frédéric Levesque
Deborah Ehrmann-Feldman
Carolyn E Schwartz
Centre Hospitalier de l’Université de Montréal · CADeltaQuest Foundation (United States) · USMcGill University · CAUniversité de Montréal · CAWestern University · CA

Funding

Canadian Institutes of Health Research 103630
6 · The paper itself

Abstract

backgroundIndividuals with chronic conditions experience fluctuations in health status and thus may experience response shift. We sought to test the hypothesis that response shift effects would be non-significant among individuals with chronic disease who experienced relatively small changes in their health status over a 1-year period.

methodsThis secondary analysis utilized longitudinal cohort data on a community-based sample (n = 776) representing four chronic diseases (arthritis, heart failure, diabetes, or chronic obstructive pulmonary disease). Information on health-care utilization was obtained from the provincial health insurance database. Participants completed the SF-36 twice annually. Parameter invariance over 1 year in a second-order SF-36 factor structure was evaluated by adapting Oort's approach by fitting a second-order measurement structure with first-order factors for the SF-36 subscales and second-order factors for physical and mental health status while accommodating ordinal data.

resultsOver 80 % of participants had no hospitalizations or emergency room visits over follow-up. The model had an acceptable fit when all measurement model parameters were constrained at both time points (RMSEA = .035, CFI = .97). There was no substantial difference in fit when measurement model parameters (item thresholds, first-order factor intercepts, and factor loadings) were allowed to vary over time.

conclusionAmong chronically ill individuals with stable health, substantial response shift effects were not detected. These results support the theoretical proposition that response shift is not expected to occur in patients with relatively stable conditions.

Indexed as

Health StatusQuality of LifeAgedChronic DiseaseFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID24899546
OpenAlexW1986481484

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.