Literature DB >> 33731139

Detecting response shift in health-related quality of life measurement among patients with hypertension using structural equation modeling.

Hao Chen1,2, Lin Zhu1, Rui Zhou1, Panpan Liu3, Xiaoyang Lu2, Donald L Patrick4, Todd C Edwards4, Hongmei Wang5,6.   

Abstract

BACKGROUND: Outcomes derived from longitudinal self-reported health-related quality of life measures can be confounded by response shift. This study was aimed to detect response shift among patients with hypertension attending a community-based disease management program.
METHODS: 240 consecutive consulting or follow-up patients with diagnosed hypertension were recruited. The Short Form 36-item Health Survey was self-administered at 12 community health service stations at baseline and four weeks after attending the program. The 4-step structural equation modeling approach assessed response shift.
RESULTS: Data from 203 (84.6%) patients were eligible for analyses (mean age 65.9 ± 10.8 years, 46.3% female). The results showed uniform recalibration of social functioning ([Formula: see text](1) = 22.98, P < 0.001), and non-uniform recalibration of role limitations due to physical problems ([Formula: see text](1) = 8.84, P = 0.003), and bodily pain ([Formula: see text](1) = 17.41, P < 0.001). The effects of response shift on social functioning were calculated as "small" (effect-size = 0.35), but changed the observed changes from improvement (effect-size = 0.25) to slight deterioration (effect-size = -0.10). After accounting for the response shift effect, the general physical health of participants was improved (effect-size = 0.37), while deterioration (effect-size = -0.21) in the general mental health was also found.
CONCLUSIONS: Recalibration existed among patients with hypertension attending the disease management program. The interventions in the program might act as a catalyst that induced the response shift. We conclude that response shift should be considered in hypertension research with longitudinal health-related quality of life data.

Entities:  

Keywords:  Health-related quality of life; Hypertension; Response shift; SF-36; Structural equation modeling

Mesh:

Year:  2021        PMID: 33731139      PMCID: PMC7968327          DOI: 10.1186/s12955-021-01732-w

Source DB:  PubMed          Journal:  Health Qual Life Outcomes        ISSN: 1477-7525            Impact factor:   3.186


  31 in total

1.  Integrating response shift into health-related quality of life research: a theoretical model.

Authors:  M A Sprangers; C E Schwartz
Journal:  Soc Sci Med       Date:  1999-06       Impact factor: 4.634

2.  How response shift may affect the measurement of change in fatigue.

Authors:  M R Visser; E M Smets; M A Sprangers; H J de Haes
Journal:  J Pain Symptom Manage       Date:  2000-07       Impact factor: 3.612

Review 3.  Health-related quality of life and hypertension: a systematic review and meta-analysis of observational studies.

Authors:  Daisson J Trevisol; Leila B Moreira; Alessandra Kerkhoff; Sandra C Fuchs; Flávio D Fuchs
Journal:  J Hypertens       Date:  2011-02       Impact factor: 4.844

4.  Validation of the EQ-5D in a general population sample in urban China.

Authors:  Hong-Mei Wang; Donald L Patrick; Todd C Edwards; Anne M Skalicky; Hai-Yan Zeng; Wen-Wen Gu
Journal:  Qual Life Res       Date:  2011-04-20       Impact factor: 4.147

5.  Advancing quality-of-life research by deepening our understanding of response shift: a unifying theory of appraisal.

Authors:  Bruce D Rapkin; Carolyn E Schwartz
Journal:  Qual Life Res       Date:  2019-07-18       Impact factor: 4.147

6.  2018 Chinese Guidelines for Prevention and Treatment of Hypertension-A report of the Revision Committee of Chinese Guidelines for Prevention and Treatment of Hypertension.

Authors: 
Journal:  J Geriatr Cardiol       Date:  2019-03       Impact factor: 3.327

Review 7.  Scoping review of response shift methods: current reporting practices and recommendations.

Authors:  Tolulope T Sajobi; Ronak Brahmbatt; Lisa M Lix; Bruno D Zumbo; Richard Sawatzky
Journal:  Qual Life Res       Date:  2017-12-05       Impact factor: 4.147

8.  Health-related quality of life associated with chronic conditions in eight countries: results from the International Quality of Life Assessment (IQOLA) Project.

Authors:  Jordi Alonso; Montserrat Ferrer; Barbara Gandek; John E Ware; Neil K Aaronson; Paola Mosconi; Niels K Rasmussen; Monika Bullinger; Shunichi Fukuhara; Stein Kaasa; Alain Leplège
Journal:  Qual Life Res       Date:  2004-03       Impact factor: 4.147

9.  Reserve-building activities attenuate treatment burden in chronic illness: The mediating role of appraisal and social support.

Authors:  Carolyn E Schwartz; Jie Zhang; Wesley Michael; David T Eton; Bruce D Rapkin
Journal:  Health Psychol Open       Date:  2018-05-14

10.  Physical activity, cardiovascular health, quality of life and blood pressure control in hypertensive subjects: randomized clinical trial.

Authors:  Victoria Arija; Felipe Villalobos; Roser Pedret; Angels Vinuesa; Dolors Jovani; Gabriel Pascual; Josep Basora
Journal:  Health Qual Life Outcomes       Date:  2018-09-14       Impact factor: 3.186

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  2 in total

1.  The mediating role of appraisal on health-related quality of life in adolescent and young adult cancer survivors.

Authors:  Renjun Gu; Hao Chen; Xian Wang; Xiaoyuan Jin; Fengyang Jiang; Wenhe Zhao; Jingyi Yun; Jie Zhou; Hongmei Wang
Journal:  Qual Life Res       Date:  2022-10-19       Impact factor: 3.440

2.  Midwives' empathy and shared decision making from women's perspective - sensitivity of an assessment to compare quality of care in prenatal and obstetric care.

Authors:  Anja Alexandra Schulz; Markus Antonius Wirtz
Journal:  BMC Pregnancy Childbirth       Date:  2022-09-20       Impact factor: 3.105

  2 in total

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