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.

Using qualitative free-text data to investigate the lived experience of the COVID-19 pandemic for a large cohort of Australians with different multiple sclerosis related disability levels.

BACKGROUND: No large-scale qualitative studies have investigated the lived experience of people living with multiple sclerosis (PwMS) during the pandemic according to their disability level. We used qualitative research methods to investigate the lived experience of a large cohort of Australians living with differing multiple sclerosis (MS)-related disability levels during the COVID-19 pandemic. We also provided useful contextualisation to existing quantitative work. METHODS: This was a retrospective survey-based mixed-methods cohort study. A quality-of-life study was conducted within the Australian MS Longitudinal Study during the pandemic. Disability severity was calculated using the Patient Determined Disease Steps. Qualitative free-text data regarding COVID-19 impacts was collected/analysed for word frequency and also thematically (inductively/deductively using sophisticated grounded theory) using NVivo software. We also triangulated word frequency with emerging themes. RESULTS: N=509 PwMS participated providing n=22 530 words of COVID-19-specific data. Disability severity could be calculated for n=501 PwMS. The word 'working' was important for PwMS with no disability, and 'support' and 'isolation' for higher disability levels. For PwMS with milder disability, thematic analysis established that multitasking increased stress levels, particularly if working from home (WFH) and home-schooling children. If not multitasking, WFH was beneficial for managing fatigue. PwMS with severe disability raised increased social isolation as a concern including prepandemic isolation. CONCLUSIONS: We found negative impacts of multitasking and social isolation for PwMS during the pandemic. WFH was identified as beneficial for some. We recommend targeted resourcing decisions for PwMS in future pandemics including child-care relief and interventions to reduce social isolation and suggest that these could be incorporated into some form of advanced care planning. As the nature of work changes postpandemic, we also recommend a detailed investigation of WFH for PwMS including providing tailored employment assistance.

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.

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.