Association of Preference-Based Health-Related Quality of Life with Weight Loss in Obese Adults

Lower quality of life in obese ICU survivors: a multicenter cohort study

PURPOSE

To compare health-related quality of life (HRQoL) and functional status between obese, underweight, normal-weight, and overweight patients after three months post-intensive care unit (ICU) discharge.

METHODS

Multicenter cohort study (10 Brazilian ICUs). 1600 ICU survivors (≥ 72 h in the ICU) were included.The main outcomes were HRQoL and functional status assessed three months after the ICU discharge. The secondary outcomes were mortality, hospital readmission, and ICU readmission during the same period.

RESULTS

Obese patients (median 50.1; IQR 39.6-59.6) had lower HRQoL in the mental component than normal-weight patients (median 53; IQR 45.6-60.1) (p = 0.033). No differences were found between BMI categories regarding the physical component of HRQoL and the Barthel Index (p = 0.355 and 0.295, respectively). Regarding readmissions, 65.1 and 25.1% of patients were readmitted to the hospital and ICU, but there was no difference between the groups (p = 0.870 and 0.220, respectively). Obese patients died less frequently (11.8%) than underweight (30.9%) and normal-weight (19.3%) patients (p < 0.001).

CONCLUSION

After three months of post-ICU discharge, obese patients had lower HRQoL in the mental component than normal-weight patients. However, obese patients died less than underweight and normal-weight patients.

Utilizing Patient Reported Outcomes and Quality of Life Measures in the Management of Obesity

Background

Patient-reported outcome measures (PROMs) assess health-related quality of life (HRQOL). These tools can facilitate assessment of weight-related successes and challenges.

Objective

Implement surveys to better understand individual experiences with obesity and explore factors that may be associated with HRQOL.

Methods

Patients completed Obesity and Weight Loss Quality of Life Instrument (OWLQOL) and Patient-Reported Outcomes Measurement Information System (PROMIS) Global-10 surveys. Three scores were calculated from survey results: global physical health (GPH), global mental health (GMH), and OWLQOL. The association between these scores and body mass index (BMI) was examined using multiple linear regression analyses.

Results

114 surveys were analyzed. GPH and OWLQOL scores were negatively associated with BMI. OWLQOL scores were higher in those who lost more than 10% body weight compared to those who lost less weight. OWLQOL scores for return patients were significantly higher than those for new patients.

Conclusions

Various factors may affect HRQOL. Higher BMI may adversely affect HRQOL, but weight loss greater than 10% and an ongoing clinical relationship may have a positive effect.

Implications for Nursing

These surveys can promote quality care, providing relevant information to enhance the clinical visit and offering another means to evaluate interventions over time.

Health state utilities associated with weight loss in type 2 diabetes and obesity

INTRODUCTION

Health state utilities associated with weight change are needed as inputs for cost-utility analyses (CUAs) examining the value of treatments for obesity and type 2 diabetes (T2D). Although some pharmaceutical treatments currently in development are associated with substantial weight loss, little is known about the utility impact of weight decreases greater than 10%. The purpose of this study was to estimate utilities associated with body weight decreases up to 20% based on preferences of individuals with obesity, with and without T2D.

METHODS

Health state vignettes were developed to represent respondents' own current weight and weight decreases of 2.5, 5, 10, 15, and 20%. Health state utilities were elicited in time trade-off interviews in two UK locations (Edinburgh and London) with a sample of participants with obesity, with and without T2D. Mean utility increases associated with each amount of weight decrease were calculated. Regression analyses were performed to derive a method for estimating utility change associated with weight decreases.

RESULTS

Analyses were conducted with data from 405 individuals with obesity (202 with T2D, 203 without T2D). Utility increases associated with various levels of weight decrease ranged from 0.011 to 0.060 in the subgroup with T2D and 0.015 to 0.077 in the subgroup without T2D. All regression models found that the percentage of weight decrease was a highly significant predictor of change in utility (p < .0001). The relationship between weight change and utility change did not appear to be linear. Equations are recommended for estimating utility change based on the natural logarithm of percentage of weight decrease.

DISCUSSION

Results of this study may be used to provide inputs for CUAs examining and comparing the value of treatments that are associated with substantial amounts of weight loss in patients with obesity, with or without T2D.

The real-world cost-effectiveness of bariatric surgery for the treatment of severe obesity: a cost-utility analysis

BACKGROUND

Severe obesity is associated with adverse health outcomes and increased risk of death. This study evaluates the real-world cost-utility of therapy for severe obesity, from the publicly funded health care system and societal perspectives.

METHODS

We conducted a cost-utility analysis using primary data from a prospective observational cohort of adults living with severe obesity (BMI ≥ 35 kg/m² and a major medical comorbidity or BMI ≥ 40 kg/m²) who were enrolled in a regional obesity program over 2 years. We extrapolated 10-year and lifetime Markov models, validated and supplemented with literature sources, to compare medical, surgical and standard care therapies. We performed deterministic and probabilistic sensitivity analyses.

RESULTS

The cohort included 500 adults living with severe obesity, 150 of whom received laparoscopic surgical therapy. From a publicly funded health system perspective, at 2 years, surgical therapy had an incremental cost-effectiveness ratio (ICER) of $54 456 per quality-adjusted life-year (QALY) compared with standard care therapy. Over a lifetime, it had an ICER of $14 056 per QALY. From the societal perspective, at 2 years, surgical therapy had an ICER of $340 per QALY; over a lifetime, it was the dominant option. The results were robust to sensitivity analysis.

INTERPRETATION

From a public health care perspective, surgery for severe obesity is cost effective, and when approached from a societal perspective, it becomes cost saving. Real-world data support using surgical therapy for severe obesity, and our results contribute to the health economic and clinical literature with regard to a robust analysis from a societal perspective.

Health state utilities for economic evaluation of bariatric surgery: A comprehensive systematic review and meta-analysis

Health state utilities (HSUs) are health economic metrics that capture and assess health-related quality of life (HRQoL). They are essential in health-economic evaluations when calculating quality-adjusted life years. We investigated published studies reporting bariatric surgery-related HSUs elicited through direct or indirect (multiattribute utility instrument [MAUI]) patient-reported methods (PROSPERO registration number: CRD42019131725). Mean HSUs for different time points and HSU changes over time (where feasible) were meta-analysed using random-effects models. Of the 950 potentially relevant identified studies, n = 28 (2004-2018) qualified for data extraction, with n = 85 unique HSUs elicited mainly from the EQ-5D (88%). Most (75%) studies were published after 2013. The follow-up duration varied between studies and was often limited to 12 months. The pooled mean HSU was 0.72 (0.67-0.76) at baseline/presurgery (n = 18) and 0.84 (0.79-0.89) one-year postsurgery (n = 11), indicating a 0.11 (0.09-0.14) utility unit increment. EQ-5D showed the similar results. This positive difference can be partially explained by BMI and/or co-morbidities status improvement. This study provides a valuable summary of HSUs to future bariatric surgery-related cost-utility models. However, more well-designed higher-quality bariatric-related HSU studies are expected for future reviews to improve the available evidence. We suggest that researchers select an MAUI that is preferentially sensitive to the study population.

Reciprocal relationship between psychosocial work stress and quality of life: the role of gender and education from the longitudinal study of the Survey of Health, Ageing and Retirement in Europe

OBJECTIVE

To investigate the reciprocal relationship between psychosocial work stress and quality of life (QoL) and to examine whether the relationship can be moderated by gender or education.

DESIGN

Longitudinal, population-based study.

SETTING

The Survey of Health, Ageing and Retirement in Europe (SHARE).

PARTICIPANTS

The study population was derived from the SHARE, and there were 2006 participants with good QoL at baseline, 1109 with high job control and 1072 with high job reward, respectively, who were followed up for 2 years to detect incidence of poor QoL, low job control and low job reward.

MAIN OUTCOME MEASURES

Logistic regression models were employed to explore the reciprocal relationship between psychological work stress and QoL. Stratification analyses by gender and education were performed.

RESULTS

Participants with low reward (OR=1.53, 95% CI 1.26 to 1.88) and low control (OR=1.40, 95% CI 1.14 to 1.71) at baseline were at higher risk of poor QoL over the 2-year follow-up. The combination of low reward and low control further increased the risk (OR=1.90, 95% CI 1.46 to 2.48). Stratified analyses revealed that these associations were more pronounced among those who had high levels of education. Further, individuals with poor QoL were at significantly higher risk of having low reward (OR=2.14, 95% CI 1.55 to 2.96) but not low control (OR=1.33, 95% CI0.98 to 1.79) at the 2-year follow-up, especially among those who had medium levels of education. No gender differences were found.

CONCLUSIONS

There is a reciprocal relationship between psychological work stress and poor QoL. Education may play an important role in the relationship.

An Exploratory Study of Long-Term Publicly Waitlisted Bariatric Surgery Patients' Quality of Life Before and 1 Year After Bariatric Surgery, and Considerations for Healthcare Planners

BACKGROUND

Long-term publicly waitlisted bariatric surgery patients typically experience debilitating physical/psychosocial obesity-related comorbidities that profoundly affect their quality of life.

OBJECTIVES

We sought to measure quality-of-life impacts in a study population of severely obese patients who had multiyear waitlist times and then underwent bariatric surgery.

METHODS

Participants were recruited opportunistically following a government-funded initiative to provide bariatric surgery to morbidly obese long-term waitlisted patients. Participants self-completed the EQ-5D-5L and AQoL-8D questionnaires pre- and postoperatively. Utility valuations (utilities) and individual/super dimension scores (AQoL-8D only) were generated.

RESULTS

Participants' (n = 23) waitlisted time was mean [standard deviation (SD)] 6.5 (2) years, body mass index reduced from 49.3 (9.35) kg/m² preoperatively to 40.8 (7.01) 1 year postoperatively (p = 0.02). One year utilities revealed clinical improvements (both instruments). AQoL-8D improved significantly from baseline to 1 year, with the change twice that of the EQ-5D-5L [EQ-5D-5L: mean (SD) 0.70 (0.25) to 0.78 (0.25); AQoL-8D: 0.51 (0.24) to 0.67 (0.23), p = 0.04], despite the AQoL-8D's narrower algorithmic range. EQ-5D-5L utility plateaued from 3 months to 1 year. AQoL-8D 1-year utility improvements were driven by Happiness/Coping/Self-worth (p < 0.05), and the Psychosocial super dimension score almost doubled at 1 year (p < 0.05). AQoL-8D revealed a wider dispersion of individual utilities.

CONCLUSIONS

Ongoing improvements in psychosocial parameters from 3 months to 1 year post-surgery accounted for improvements in overall utilities measured by the AQoL-8D that were not detected by EQ-5D-5L. Selection of a sensitive instrument is important to adequately assess changes in quality of life and to accurately reflect changes in quality-adjusted life-years for cost-utility analyses and resource allocation in a public healthcare resource-constrained environment.