Literature DB >> 24219054

Influence of explanatory and confounding variables on HRQoL after controlling for measurement bias and response shift in measurement.

Pranav K Gandhi1, L Douglas Ried, Carole L Kimberlin, Teresa L Kauf, I-Chan Huang.   

Abstract

The purpose of this study was to examine the influence of explanatory and confounding variables on health-related quality of life after accounting for response shift, measurement bias and response shift in measurement using structural equation modeling. Hypertensive patients with coronary artery disease randomized to anti-hypertensive treatment, completed the ShortForm-36 questionnaire at both baseline and 1 year (n = 788). Three measurement biases were found and all three were considered as response shift in measurement. Older patients reported worse scores for both physical functioning (PF) and role-physical at baseline and 1 year later compared to younger patients; and males reported better PF than females after conditioning on the latent trait of general physical health. Before controlling for response shift, patients' PF scores were not statistically different over time; however, PF scores significantly improved (p < 0.01) after controlling for recalibration response shift. Assessment of how patients perceive their change in health-related quality of life over time is warranted.

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Year:  2013        PMID: 24219054      PMCID: PMC4308958          DOI: 10.1586/14737167.2013.852959

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  37 in total

1.  Investigating differential item functioning by chronic diseases in the SF-36 health survey: a latent trait analysis using MIMIC models.

Authors:  Yanni Fan Yu; Andrew Peng Yu; Jeonghoon Ahn
Journal:  Med Care       Date:  2007-09       Impact factor: 2.983

2.  Formal definitions of measurement bias and explanation bias clarify measurement and conceptual perspectives on response shift.

Authors:  Frans J Oort; Mechteld R M Visser; Mirjam A G Sprangers
Journal:  J Clin Epidemiol       Date:  2009-06-21       Impact factor: 6.437

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Journal:  JAMA       Date:  1986-01-17       Impact factor: 56.272

4.  Depressive symptoms in coronary artery disease patients after hypertension treatment.

Authors:  L Douglas Ried; Michael J Tueth; Michael D Taylor; Brian C Sauer; Larry M Lopez; Carl J Pepine
Journal:  Ann Pharmacother       Date:  2006-03-28       Impact factor: 3.154

5.  Associations between health status and utilities implications for policy.

Authors:  L A Lenert; J R Treadwell; C E Schwartz
Journal:  Med Care       Date:  1999-05       Impact factor: 2.983

6.  The sixth report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure.

Authors: 
Journal:  Arch Intern Med       Date:  1997-11-24

7.  A Study of Antihypertensive Drugs and Depressive Symptoms (SADD-Sx) in patients treated with a calcium antagonist versus an atenolol hypertension Treatment Strategy in the International Verapamil SR-Trandolapril Study (INVEST).

Authors:  L Douglas Ried; Michael J Tueth; Eileen Handberg; Stuart Kupfer; Carl J Pepine
Journal:  Psychosom Med       Date:  2005 May-Jun       Impact factor: 4.312

8.  Depression in patients with coronary heart disease. A 12-month follow-up.

Authors:  M Hance; R M Carney; K E Freedland; J Skala
Journal:  Gen Hosp Psychiatry       Date:  1996-01       Impact factor: 3.238

9.  Structural equation modeling of health-related quality-of-life data illustrates the measurement and conceptual perspectives on response shift.

Authors:  B L King-Kallimanis; F J Oort; M R M Visser; M A G Sprangers
Journal:  J Clin Epidemiol       Date:  2009-11       Impact factor: 6.437

10.  Depression and coronary artery disease: the association, mechanisms, and therapeutic implications.

Authors:  Imran Shuja Khawaja; Joseph J Westermeyer; Prashant Gajwani; Robert E Feinstein
Journal:  Psychiatry (Edgmont)       Date:  2009-01
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  2 in total

1.  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.

Authors:  Pranav K Gandhi; Carolyn E Schwartz; Bryce B Reeve; Darren A DeWalt; Heather E Gross; I-Chan Huang
Journal:  Qual Life Res       Date:  2016-04-09       Impact factor: 4.147

2.  Listening to the elephant in the room: response-shift effects in clinical trials research.

Authors:  Carolyn E Schwartz; I-Chan Huang; Gudrun Rohde; Richard L Skolasky
Journal:  J Patient Rep Outcomes       Date:  2022-09-30
  2 in total

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