An observational study on health-related quality of life and persistent symptoms in COVID-19 patients after hospitalization at a tertiary care centre.

Aim: The study aims to determine persistent symptoms and effects of COVID-19 infection on the quality of life (QOL) at 1 and 3 months after the acute phase of the disease in mild, moderate and severe cases. Methods: The prospective observational study was conducted among patients with confirmed COVID-19 who had been treated and discharged after hospitalization from February 2021 to June 2021. All patients were interviewed at 1 and 3 months post discharge to assess persisting symptoms and health-related QOL. QOL was assessed using European Quality Of Life 5-Dimensions 3-Levels (EQ-5D-3L) and EuroQol-visual analogue scales (EQ-VAS). Results: In total, 388 out of 479 discharged following COVID-19 infection were included. The median age of patients was 48 years, with 62.6% male predominance. Most of the COVID-19 cases were mild (67.01%). Most common presenting symptom was fever (69.8%). EQ-5D-3L showed that the problems reported at 3-month follow-up were significantly less when compared to 1-month follow-up (p < 0.001), and QOL significantly improved after 3 months in non-intensive care unit (ICU) patients when compared to ICU patients (p = 0.007). The mean EQ-VAS score significantly improved at 3 months when compared to 1 month (80.34 ± 12.77 vs. 91.69 ± 12.34; P < 0.001). The severity of illness was correlated with QOL (p < 0.007). Conclusion: The study results demonstrate ongoing improvement in the QOL and persistent symptoms, while a minority still were symptomatic after 3 months post-COVID-19 illness.

Health-Related Quality of Life of Patients with Type 2 Diabetes Mellitus and Hypertension in Addis Ababa, Ethiopia.

Background: The aim of this study was to assess the health-related quality of life of patients with T2DM and hypertension attending public health facilities in Addis Ababa, Ethiopia. Methods: A cross-sectional study was conducted from 1st through 30th August 2020 at the selected institutions. Health facilities were chosen purposively based on patient load. Participants were drawn after proportional to size allocation. A translated EQ-5D-3L, and EQ-VAS instrument was used to collect the data. Analysis was done using SPSS v.26.0. Both parametric and non-parametric models were applied in the analysis. Results: Of the 409 participants included, the majority were in the age group of 46-60 (36.0%), females (56.0%), from hospitals (54.8%), jobless (25.4%), and married (63.3%). Over two-thirds of the patients reported no problems with self-care, usual activity, and depression/anxiety. All dimensions showed an increasing proportion of moderate to severe problems in the age group beyond 45. Facility type, comorbid condition and age showed a statistically significant score difference for QoL. The overall prevalence of any problem was 59.0%. Education level, visit to a health center, and marriage showed lower odds of affected HRQoL whereas, lower monthly income and presence of comorbidities were opposite. Conclusion: HRQoL of patients in the study settings was suboptimal and below the general population. Attributes, such as education, facility type, marital status, income level, and comorbid status have a statistically significant association with HRQoL. Arrangement of a safe and quality health services is paramount, especially, during the COVID-19 pandemic.

Self-reported wellbeing and health-related quality of life of Aboriginal and Torres Strait Islander people pre and post the first wave of the COVID-19 2020 pandemic.

OBJECTIVE: Quantify change in wellbeing and health-related quality-of-life (HRQoL) in Aboriginal and Torres Strait Islander adults pre and post Australia's initial COVID-19 lockdown. METHODS: Aboriginal and Torres Strait Islander adults completed an online survey at Time 1 (October-November 2019; before the initial Australian COVID-19 outbreak) and Time 2 (August-September 2020; after the first Australian lockdown). We assessed wellbeing using a visual analogue scale (VAS) and HRQoL using the Assessment of Quality of Life (AQoL-4D) instrument. Participants who completed both surveys (n=42) were included to quantify change in outcomes over time and by comorbidity and demographic factors. RESULTS: Mean reduction in wellbeing over time was 6.4 points (95%CI -14.2 to 1.4) and was associated with age (18-54yo), financial instability and mental health comorbidity. Mean reduction in HRQoL over time was 0.06 (95%CI -0.12 to 0.01) and was associated with financial instability, high physical comorbidity level and mental health comorbidity. CONCLUSIONS: Aboriginal and Torres Strait Islanders aged 18-54yo, who were financially unstable or had elevated comorbidity during COVID lockdowns experienced greater reductions in wellbeing and HRQoL. IMPLICATIONS FOR PUBLIC HEALTH: As the COVID-19 pandemic continues in Australia, both urgent and forward planning is needed, especially for the priority groups identified.

Does a health crisis change how we value health?

General population health state values are used in healthcare resource allocation, including health technology assessment. We examine whether UK general population health valuations changed during the COVID-19 pandemic. Ratings of EQ-5D-5L health states 11111 (no problems), 55555 (extreme problems), and dead were collected in a UK general population survey during the pandemic (April-May 2020) using the 0 = worst imaginable health, 100 = best imaginable health visual analog scale (EQ-VAS). Ratings for 55555 were transformed to a full health = 1, dead = 0 scale. Responses were compared to similar data collected pre-pandemic (2018). After propensity score matching to minimize sample differences, EQ-VAS responses were analyzed using Tobit regressions. On the 0-100 scale, 11111 was rated on average 8.67 points lower, 55555 rated 9.56 points higher, and dead rated 7.45 points lower post-pandemic onset compared to pre-pandemic. On the full health = 1, dead = 0 scale, 55555 values were 0.09 higher post-pandemic onset. There was evidence of differential impacts of COVID-19 by gender, age, and ethnicity, although only age impacted values on the 1-0 scale. COVID-19 may have affected how people value health. It is unknown whether the effect is large enough to have policy relevance, but caution should be taken in assuming pre-COVID-19 values are unchanged.