Evidence map›Paper›PMID 28593531›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2017

Distinguishing appraisal and personality influences on quality of life in chronic illness: introducing the quality-of-life Appraisal Profile version 2.

Bruce D Rapkin, Iliana Garcia, Wesley Michael, Jie Zhang, Carolyn E Schwartz

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
23.8field-weighted citation impact, top 1% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Response shift results of quantitative research using patient-reported outcome measures: a descriptive systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Pooled it
  2. Response shift-adjusted longitudinal assessment of patient-reported outcomes in older people living with HIV: a multilevel structural equation and Rasch analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Toward characterizing brain fog in long COVID: correlates and impact on measurement metrics.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  4. Review
  5. Long-COVID symptom burden and the experience of adversity: the importance of response-shift effects over 3 years of the pandemic.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  6. Individual differences in the long-term impact of the pandemic: moderators of COVID-related hardship, worry, and social support.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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  7. Implications of the syntheses on definition, theory, and methods conducted by the Response Shift - in Sync Working Group.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
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  14. What should progress in response-shift research look like?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
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  17. 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
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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 3 institutions in 1 country.

Bruce D RapkinDivision of Community Collaboration & Implementation Science, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Iliana GarciaDivision of Community Collaboration & Implementation Science, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Wesley MichaelRare Patient Voice, LLC, Towson, MD, USA.
Jie ZhangDeltaQuest Foundation Inc., 31 Mitchell Road, Concord, MA, 01742, USA.
Carolyn E SchwartzDeltaQuest Foundation Inc., 31 Mitchell Road, Concord, MA, 01742, USA. carolyn.schwartz@deltaquest.org.
Albert Einstein College of Medicine · USDeltaQuest Foundation (United States) · USTufts University · US

Funding

Patient-Centered Outcomes Research Institute ME-1306-00781
6 · The paper itself

Abstract

backgroundCognitive appraisal of quality of life (QOL) differs across individuals in ways that explain otherwise paradoxical findings, such as similar QOL ratings among individuals in highly divergent health states. Although warranted by a growing body of evidence, routine assessment of appraisal in QOL research has been impeded by measurement challenges. This study describes the QOL Appraisal Profile-version 2 (QOLAPv2), a new measure that addresses these challenges.

methodsA heterogeneous, on-line cohort of chronic disease patients and caregivers completed the QOLAPv2, along with demographics, PROMIS10 and Brief NEO Personality Inventory (NEO-PI). Analyses address the psychometric properties and construct validity of this new measure using principal components, bivariate, canonical correlation, and linear regression analyses.

resultsAnalysis including 4173 respondents yielded 12 second-order QOLAPv2 principal components. Appraisal components varied with age and disease duration. Appraisals involving "Wellness," "Health," and "Recent Challenges" were correlated with QOL and with NEO-PI scales of "Agreeableness" and "Conscientiousness." Canonical correlation analysis revealed that QOL scales were associated with appraisals involving "Spirituality," "Anticipating Decline," and "Lightness of Being." Appraisal dimensions of "Relationships," "Maintaining Roles," "Independence," "Pursuing Dreams," and "Lightness of Being" were also associated with personality scales. Appraisal measures accounted for significantly more variance in QOL than personality and demographics alone.

conclusionsFindings corroborate the Rapkin and Schwartz QOL appraisal theory. QOL appraisal measures correlate as expected with personality scales, and explain more variance in QOL than does personality. The QOLAPv2 can be used across populations to provide insight into patients' concerns, salient experiences, and comparators.

Indexed as

Patient Reported Outcome MeasuresCaregiversChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPersonality InventoryPsychometricsQuality of LifeAppraisalChronic diseaseCognitive processesPatient-reported outcomesPersonalityQuality of lifeRare diseaseResponse shift

Identifiers

PMID28593531
OpenAlexW2621531800

What OpenQuestion holds

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Registered trials

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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.