Abstract

BackgroundOutcomes 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.Methods240 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.ResultsData 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 ({upchi}_{mathrm{SBdiff}}^{2}(1) = 22.98, P < 0.001), and non-uniform recalibration of role limitations due to physical problems ({upchi}_{mathrm{SBdiff}}^{2}(1) = 8.84, P = 0.003), and bodily pain ({upchi}_{mathrm{SBdiff}}^{2}(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.ConclusionsRecalibration 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.

Highlights

  • Outcomes derived from longitudinal self-reported health-related quality of life measures can be confounded by response shift

  • Participants’ characteristics and health information The initial cohort included 240 patients. 211 (87.9%) patients completed the questionnaire twice, while 8 patients with missing data were excluded, resulting in a data set of 203 (84.6%) patients used for analyses

  • This study explored the occurrence of Response Shift (RS) in patients with hypertension attending the community disease management program by using Oort’s structural equation modeling (SEM) approach

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Summary

Introduction

Outcomes derived from longitudinal self-reported health-related quality of life measures can be confounded by response shift. Health-related quality of life (HRQOL), representing people’s subjective assessment of their sense of healthspecific well-being, has been frequently used as a. Substantial change of HRQOL can be over-or under-estimated without adjusting for RS [3,4,5]. A variety of methodological methods are available to detect and adjust RS [2]. Based on the latent variable measurement modeling, Oort et al [7, 8] have proposed a 4-step RS detecting procedure for longitudinal measurement occasions, named the Oort’s structural equation modeling (SEM) approach. Oort’s SEM approach has become the most widely used statistical method in RS detection [9]

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