An Exploratory Study: A Head-to-Head Comparison of the EQ-5D-5L and AQoL-8D for Long-Term Publicly Waitlisted Bariatric Surgery Patients Before and 3 Months After Bariatric Surgery

Impact of sleep quality on health-related quality of life domains and the mediating effects of symptoms in people with multiple sclerosis

PURPOSE

Many people living with multiple sclerosis (PwMS) experience poor sleep, which is associated with diminished overall health-related quality of life (HRQoL). We quantified associations between sleep quality and HRQoL domains and examined the extent to which other MS symptoms could account for these associations.

METHODS

In this cross-sectional survey of 1,717 Australians with MS, we used Assessment of Quality of Life (AQoL) 8D and Pittsburgh Sleep Quality Index (PSQI) to assess HRQoL and sleep quality, respectively. Total, direct, and indirect effects of sleep quality on HRQoL domains were determined using mediation regression analysis.

RESULTS

Poor sleep quality was significantly associated with all domains of HRQoL, with strongest associations seen for mental health (β=-0.08) and pain (β=-0.11), and weaker associations for independent living (β=-0.05) and senses (β=-0.03). Poor sleep quality had the largest direct effect on mental health (60.8%), happiness (48.7%), and pain (49.7%). MS symptom clusters mostly contributing to indirect effects were "feelings of anxiety and depression" for psychosocial, and "pain and sensory symptoms" for physical HRQoL super dimensions.

CONCLUSION

Improving sleep could lead to substantial improvements in all HRQoL domains and the improvement in HRQoL could be partially achieved through indirect improvements in sleep on MS symptoms.

Evaluation of health-related quality of life changes in an Australian rapid access chest pain clinic

OBJECTIVE

To evaluate the impact of absolute cardiovascular risk counselling on quality-of-life indices within a chest pain clinic.

DATA SOURCES AND STUDY SETTING

Primary data was collected at the Royal Hobart Hospital, Australia, between 2014 and 2020.

STUDY DESIGN

Patients attending an Australian chest pain clinic were randomised into a prospective, open-label, blinded-endpoint study over a minimum 12-months follow-up.

DATA COLLECTION / EXTRACTION METHODS

The SF-36 questionnaire was completed at baseline/follow-up and SF-6D multi-attribute utility instrument's health state utilities (HSU) were generated using SF-36 responses and the SF-6D's Australian tariff. SF-6D minimal important difference was 0.04 points. Absolute cardiovascular risk was also stratified into high/intermediate/low-risk categories for exploratory analysis of summary HSUs and dimensional scores. ANZCTR registration number 12617000615381 (registered 28/4/17).

PRINCIPAL FINDINGS

Of n = 189 patients enrolled, HSUs were generated for 96% at baseline (intervention n = 93, usual care n = 88) and 61% at follow-up. There were no statistical differences in age, sex, absolute cardiovascular risk or mean HSU between groups at baseline. Summary HSUs improved more for the intervention group and the median between-group difference exceeded the minimal important difference threshold (intervention 0.16 utility points, control 0.10 utility points). For Intervention patients with high absolute risk (≥ 15%), HSU did not significantly change.

CONCLUSIONS

Absolute cardiovascular risk counselling in a chest pain clinic yielded clinically meaningful improvement in health-related quality of life.

The subjective wellbeing of people living with Multiple Sclerosis in Australia: insights from the Personal Wellbeing Index

OBJECTIVES

Subjective wellbeing has been defined as an individual's personal appraisal of their quality of life. Subjective wellbeing is associated with positive health behaviours and improved coping abilities. This study aimed to investigate the subjective wellbeing of people living with multiple sclerosis (MS), using the novel Personal Wellbeing Index, and make comparisons with the general population.

METHODS

Cross-sectional data was obtained from the Australian Multiple Sclerosis Longitudinal Study and the How Is Your Life Australian general population study in August-October 2020. Subjective wellbeing was measured as life satisfaction using the Personal Wellbeing Index. This instrument measures life satisfaction globally and in seven life domains, allowing the importance of domain-specific life satisfaction to be explored. Descriptive and multivariable regression analyses were conducted.

RESULTS

One thousand six hundred eighty-three MS and 1,021 general population participants entered the study (mean age 52.4 and 58.6; female 79.9% and 52.4%, respectively). For people living with MS the most important life domains were standard of living and achieving in life. The domain of personal health was more influential for people living with MS (p < 0.01) than the general population. The life domains most susceptible to MS-related disability were personal health, achieving in life, and community connectedness (p < 0.01 for these domains).

CONCLUSION

Personal health and achieving in life are key domains through which the subjective wellbeing of people living with MS is modified. This study recommends the development of interventions to support healthy perceptions of illness and continued employment as paramount in improving the subjective wellbeing of people living with MS.

The quality of life impact of the COVID-19 pandemic and lockdowns for people living with multiple sclerosis (MS): evidence from the Australian MS Longitudinal Study

PURPOSE

People living with multiple sclerosis (PwMS) in metropolitan Victoria, Australia, experienced a 112-day, COVID-19-related lockdown in mid-2020. Contemporaneously, Australian PwMS elsewhere experienced minimal restrictions, resulting in a natural experiment. This study investigated the relationships between lockdowns, COVID-19-related adversity, and health-related quality of life (HRQoL). It also generated health state utilities (HSU) representative of changes in HRQoL.

METHODS

Data were extracted from Australian MS Longitudinal Study surveys, which included the Assessment of Quality of Life-Eight Dimensions (AQoL-8D) instrument and a COVID-19 questionnaire. This COVID-19 questionnaire required participants to rank their COVID-19-related adversity across seven health dimensions. Ordered probits were used to identify variables contributing to adversity. Linear and logit regressions were applied to determine the impact of adversity on HRQoL, defined using AQoL-8D HSUs. Qualitative data were examined thematically.

RESULTS

N = 1666 PwMS (average age 58.5; 79.8% female; consistent with the clinical presentation of MS) entered the study, with n = 367 (22.0%) exposed to the 112-day lockdown. Lockdown exposure and disability severity were strongly associated with higher adversity rankings (p < 0.01). Higher adversity rankings were associated with lower HSUs. Participants reporting major adversity, across measured health dimensions, had a mean HSU 0.161 (p < 0.01) lower than participants reporting no adversity and were more likely (OR: 2.716, p < 0.01) to report a clinically significant HSU reduction. Themes in qualitative data supported quantitative findings.

CONCLUSIONS

We found that COVID-19-related adversity reduced the HRQoL of PwMS. Our HSU estimates can be used in health economic models to evaluate lockdown cost-effectiveness for people with complex and chronic (mainly neurological) diseases.

Validation of the EQ-5D-5L and psychosocial bolt-ons in a large cohort of people living with multiple sclerosis in Australia

BACKGROUND

Multiple sclerosis (MS) is an inflammatory, neurodegenerative disease of the central nervous system which results in disability over time and reduced quality of life. To increase the sensitivity of the EQ-5D-5L for psychosocial health, four bolt-on items from the AQoL-8D were used to create the nine-item EQ-5D-5L-Psychosocial. We aimed to externally validate the EQ-5D-5L-Psychosocial in a large cohort of people with MS (pwMS) and explore the discriminatory power of the new instrument with EQ-5D-5L/AQoL-8D.

METHODS

A large representative sample from the Australian MS Longitudinal Study completed the AQoL-8D and EQ-5D-5L (including EQ VAS) and both instruments health state utilities (HSUs) were scored using Australian tariffs. Sociodemographic/clinical data were also collected. External validity of EQ-5D-5L-Psychosocial scoring algorithm was assessed with mean absolute errors (MAE) and Spearman's correlation coefficient. Discriminatory sensitivity was assessed with an examination of ceiling/floor effects, and disability severity classifications.

RESULTS

Among 1683 participants (mean age: 58.6 years; 80% female), over half (55%) had moderate or severe disability. MAE (0.063) and the distribution of the prediction error were similar to the original development study. Mean (± standard deviation) HSUs were EQ-5D-5L: 0.58 ± 0.32, EQ-5D-5L-Psychosocial 0.62 ± 0.29, and AQoL-8D: 0.63 ± 0.20. N = 157 (10%) scored perfect health (i.e. HSU = 1.0) on the EQ-5D-5L, but reported a mean HSU of 0.90 on the alternative instruments. The Sleep bolt-on dimension was particularly important for pwMS.

CONCLUSIONS

The EQ-5D-5L-Psychosocial is more sensitive than the EQ-5D-5L in pwMS whose HSUs approach those reflecting full health. When respondent burden is taken into account, the EQ-5D-5L-Psychosocial is preferential to the AQoL-8D. We suggest a larger confirmatory study comparing all prevalent multi-attribute utility instruments for pwMS.

Assessment of health-related quality of life in Australian patients with idiopathic pulmonary fibrosis: a comparison of the EQ-5D-5L and the AQoL-8D

PURPOSE

Idiopathic pulmonary fibrosis (IPF) is a progressive and debilitating chronic lung disease with a high symptom burden, which has a substantial impact on health-related quality of life (HRQoL). Our study aimed to assess the suitability of the EuroQol five-dimension (EQ-5D-5L) and the Assessment of Quality of Life- eight-dimension (AQoL-8D) questionnaires in measuring HRQoL as health state utility values (HSUVs) in an Australian IPF cohort.

METHODS

Data for estimation of health state utility values (HSUVs) were collected from participants of the Australian IPF Registry (AIPFR) using self-administered surveys which included the EQ-5D-5L and the AQoL-8D. Data on lung function and disease specific HRQoL instruments were collected from the AIPFR. Performance of the two instruments was evaluated based on questionnaire practicality, agreement between the two instruments and test performance (internal and construct validity).

RESULTS

Overall completion rates for the EQ-5D-5L and AQoL-8D were 96% and 85%, respectively. Mean (median) HSUVs were 0.65 (0.70) and 0.69 (0.72) for the EQ-5D-5L and AQoL-8D, respectively. There was reasonable agreement between the two instruments based on the Bland-Altman plot mean difference (-0.04) and intraclass correlation coefficient (0.84), however there were some fundamental differences. A larger range of values was observed with the EQ-5D-5L (-0.57-1.00 vs 0.16-1.00). The EQ-5D-5L had a greater divergent sensitivity and efficacy in relation to assessing HSUVs between clinical groupings. The AQoL-8D ,however, had a higher sensitivity to measure psychosocial aspects of HRQoL in IPF.

CONCLUSION

The EQ-5D-5L demonstrated superior performance when compared to AQoL-8D in persons with IPF. This may be attributable to the high symptom burden which is physically debilitating to which the EQ-5D-5L may be more sensitive.

The relative contribution of co-morbidities to health-related quality of life of people with idiopathic pulmonary fibrosis using the Assessment of Quality of Life-8-Dimension multi-attribute utility instrument

PURPOSE

Little is known about the impact of co-morbidities on health-related quality of life (HRQoL) for people with idiopathic pulmonary fibrosis (IPF). We aimed to investigate the relative contribution of co-morbidities to HRQoL of people with IPF.

METHODS

N = 157 participants were recruited from the Australian IPF Registry (AIPFR). Health state utilities (HSUs), and the super-dimensions of physical and psychosocial scores were measured using the Assessment of Quality of Life-8-Dimensions (AQoL-8D). The impact of co-morbidities on HRQoL was investigated using linear regression and general dominance analyses.

RESULTS

A higher number of co-morbidities was associated with lower HSUs (p trend = 0.002). Co-morbidities explained 9.1% of the variance of HSUs, 16.0% of physical super-dimensional scores, and 4.2% of psychosocial super-dimensional scores. Arthritis was associated with a significant reduction on HSUs (β =  - 0.09, 95% confidence interval [CI] - 0.16 to - 0.02), largely driven by reduced scores on the physical super-dimension (β =  - 0.13, 95% CI - 0.20 to - 0.06). Heart diseases were associated with a significant reduction on HSUs (β =  - 0.09, 95% CI - 0.16 to - 0.02), driven by reduced scores on physical (β =  - 0.09, 95% CI - 0.16 to - 0.02) and psychosocial (β = -0.10, 95% CI - 0.17 to - 0.02) super-dimensions.

CONCLUSIONS

Co-morbidities significantly impact HRQoL of people with IPF, with markedly negative impacts on their HSUs and physical health. A more holistic approach to the care of people with IPF is important as better management of these co-morbidities could lead to improved HRQoL in people with IPF.

Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand

BACKGROUND

Health state utilities (HSU) are a health-related quality-of-life (HRQoL) input for cost-utility analyses used for resource allocation decisions, including medication reimbursement. New Zealand (NZ) guidelines recommend the EQ-5D instruments; however, the EQ-5D-5L may not sufficiently capture psychosocial health. We evaluated HRQoL among people with multiple sclerosis (MS) in NZ using the EQ-5D-5L and assessed the instrument's discriminatory sensitivity for a NZ MS cohort.

METHODS

Participants were recruited from the NZ MS Prevalence Study. Participants self-completed a 45-min online survey that included the EQ-5D-5L/EQ-VAS. Disability severity was classified using the Expanded Disability Status Scale (EDSS) to categorise participant disability as mild (EDSS: 0-3.5), moderate (EDSS: 4.0-6.0) and severe (EDSS: 6.5-9.5). Anxiety/depression were also measured using the Hospital Anxiety and Depression Score (HADS). In the absence of an EQ-5D-5L NZ tariff, HSUs were derived using an Australian tariff. We evaluated associations between HSUs and participant characteristics with linear regression models.

RESULTS

254 participants entered the study. Mean age was 55.2 years, 79.5% were female. Mean (SD) EQ-5D-5L HSU was 0.58 (0.33). Mean (SD) HSUs for disability categories were: mild 0.80 ± 0.17, moderate 0.57 ± 0.21 and severe 0.14 ± 0.32. Twelve percent reported HSU = 1.0 (i.e., no problems in any domain). Participants who had never used a disease-modifying therapy reported a lower mean HSU. Multivariable modelling found that the HADS anxiety score was not associated with EQ-5D-5L.

CONCLUSIONS

HRQoL for people with MS in NZ was lower than comparable countries, including Australia. We suggest a comparison with other generic tools that may have improved sensitivity to mental health.

Feelings of depression, pain and walking difficulties have the largest impact on the quality of life of people with multiple sclerosis, irrespective of clinical phenotype

Background:

The symptoms that have the largest impact on health-related quality of life (HRQoL) in people with multiple sclerosis (MS) may vary by MS phenotype (relapsing-remitting MS (RRMS), secondary progressive MS (SPMS) and primary progressive MS (PPMS)). Knowing these symptoms assists in symptom management.

Objective:

To examine the associations between 13 common MS symptoms and HRQoL in the total sample and stratified by MS phenotype.

Method:

The study included 1985 participants. HRQoL was measured with two multi-attribute utility instruments: assessment of quality of life with eight dimensions (AQoL-8D) and European quality of life with five dimensions and five levels for each dimension (EQ-5D-5L). Multivariable linear regression was used to identify the symptoms that had the largest impact on the HRQoLs.

Results:

Feelings of depression, pain, fatigue, and feelings of anxiety were most strongly associated with AQoL-8D and EQ-5D-5L. Walking difficulties additionally contributed to reduced EQ-5D-5L. The strongest single predictors in the multivariable analyses were feelings of depression or pain for AQoL-8D and walking difficulties for EQ-5D-5L, irrespective of MS phenotype.

Conclusion:

The strongest single predictors for the AQoL-8D and EQ-5D-5L were feelings of depression, pain and walking difficulties, irrespective of MS phenotype. Reducing these symptoms may have the largest impact on improving HRQoL in all MS phenotypes of people with MS.

Estimating the relative contribution of comorbidities in predicting health-related quality of life of people with multiple sclerosis

BACKGROUND

Little is known about the relative contribution of comorbidities in predicting the health-related quality of life (HRQoL) of people with Multiple Sclerosis (PwMS).

OBJECTIVE

To determine the associations between the number of and individual comorbidities and HRQoL and estimate the relative contribution of different comorbidities on HRQoL.

METHODS

Cross-sectional analysis of data on self-reported presence of 30 comorbidities and HRQoL from the Australian MS Longitudinal Study (AMSLS) participants (n = 902). HRQoL was measured using the Assessment of Quality of Life-8 Dimensions (AQoL-8D). Linear regression and general dominance analysis were used.

RESULTS

Higher number of comorbidities was associated with lower HRQoL (p trend p < 0.01). Comorbidities accounted for 18.1% of the variance in HRQoL. Mental health and musculoskeletal disorders were the strongest contributors to lower HRQoL. Of individual comorbidities, systemic lupus erythematosus (SLE) [β = - 0.16 (- 0.27, - 0.05)] and depression [β = - 0.15(- 0.18, - 0.13)] were most strongly associated with overall HRQoL, depression [β = - 0.14(- 0.16, - 0.11)] and anxiety [β = - 0.10 (- 0.13, - 0.07)] with psychosocial HRQoL, and SLE [β = - 0.18 (- 0.29, - 0.07)], rheumatoid arthritis [β = - 0.11 (- 0.19, - 0.02)] and hyperthyroidism [β = - 0.11 (- 0.19, - 0.03)) with physical HRQoL.

CONCLUSION

Comorbidities potentially make important contributions to HRQoL in PwMS. Our findings highlight groups of and individual comorbidities that could provide the largest benefits for the HRQoL of PwMS if they were targeted for prevention, early detection, and optimal treatment.

The Humanistic and Economic Impact of Vaginal Dryness in Premenopausal, Perimenopausal, and Postmenopausal Women

Background: Vaginal dryness is a highly prevalent condition. Much of previous research has focused on postmenopausal women. The aim of this study was to evaluate the impact of vaginal dryness on a predominantly premenopausal sample of women. Methods: The study was conducted online. Participants with self-reported vaginal dryness completed the Work Productivity and Activity Impairment (WPAI) scale, and a generic quality-of-life instrument, the assessment of quality of life instrument (AQoL)-4D. Information regarding sociodemographics was also collected. National (United Kingdom) median age-specific weekly wages were used to derive the economic cost of vaginal dryness. Results: A total of 524 women completed the study. The average age was 40.18 years (range 18-70 years) and just under 62% of the sample was premenopausal. Around 40% of women reported severe or very severe vaginal dryness. The average AQoL-4D score was 0.584 (standard deviation [SD]: 0.286) and decreased in line with level of severity (p = 0.014). Quality of life was not related to either age (p = 0.14) or menopausal status (p = 0.055). Of those women in employment (n = 369), 16.5% (SD: 24.3%) of their working hours were lost due to vaginal dryness; work impairment level was 34.4% (SD: 31.8%). The average lost weekly wage was £67.82 (SD: £130.88). The estimated average loss to employers was £82.56 (SD: £109.38) with a total weekly loss of £31,622. Conclusions: This study has shown the significant impact vaginal dryness has on premenopausal and postmenopausal women in terms of quality of life and economic burden, as well as the potential cost of this condition to society.

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.

Bariatric surgery is a cost-saving treatment for obesity-A comprehensive meta-analysis and updated systematic review of health economic evaluations of bariatric surgery

Demand for bariatric surgery to treat severe and resistant obesity far outstrips supply. We aimed to comprehensively synthesise health economic evidence regarding bariatric surgery from 1995 to 2018 (PROSPERO registration number: CRD42018094189). Meta-analyses were conducted to calculate the annual cost changes "before" and "after" surgery, and cumulative cost differences between surgical and nonsurgical groups. An updated narrative review also summarized the full and partial health economic evaluations of surgery from September 2015. N = 101 studies were eligible for the qualitative analyses since 1995, with n = 24 studies after September 2015. Quality of reporting has increased, and the inclusion of complications/reoperations was predominantly contained in the full economic evaluations after September 2015. Technical improvements in surgery were also reflected across the studies. Sixty-one studies were eligible for the quantitative meta-analyses. Compared with no/conventional treatment, surgery was cost saving over a lifetime scenario. Additionally, consideration of indirect costs through sensitivity analyses increased cost savings. Medication cost savings were dominant in the before versus after meta-analysis. Overall, bariatric surgery is cost saving over the life course even without considering indirect costs. Health economists are hearing the call to present higher quality studies and include the costs of complications/reoperations; however, indirect costs and body contouring surgery are still not appropriately considered.

A qualitative investigation of the health economic impacts of bariatric surgery for obesity and implications for improved practice in health economics

Obesity is an economic problem. Bariatric surgery is cost-effective for severe and resistant obesity. Most economic evaluations of bariatric surgery use administrative data and narrowly defined direct medical costs in their quantitative analyses. Demand far outstrips supply for bariatric surgery. Further allocation of health care resources to bariatric surgery (particularly public) could be stimulated by new health economic evidence that supports the provision of bariatric surgery. We postulated that qualitative research methods would elicit important health economic dimensions of bariatric surgery that would typically be omitted from the current economic evaluation framework, nor be reported and therefore not considered by policymakers with sufficient priority. We listened to patients: Focus group data were analysed thematically with software assistance. Key themes were identified inductively through a dialogue between the qualitative data and pre-existing economic theory (perspective, externalities, and emotional capital). We identified the concept of emotional capital where participants described life-changing desires to be productive and participate in their communities postoperatively. After self-funding bariatric surgery, some participants experienced financial distress. We recommend a mixed-methods approach to the economic evaluation of bariatric surgery. This could be operationalised in health economic model conceptualisation and construction, through to the separate reporting of qualitative results to supplement quantitative results.