Measuring the impact of COVID-19 on the quality of life of the survivors, partners and family members: a cross-sectional international online survey

Shah, Rupali D; Ali, Faraz; Nixon, Stuart J; Ingram, John R.; Salek, Sam; Finlay, A.Y.

doi:10.1136/bmjopen-2020-047680

Cited by 82 publications

(85 citation statements)

References 25 publications

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“…First, questionnaires can only be distributed to users who have registered on the platform. So the online survey may lead to selection bias, limiting the generalizability of our findings [ 42 ]. Second, there may be more factors that can affect the results, such as people’s social network, their participation in online health communities, and other social and environmental factors.…”

Section: Discussionmentioning

confidence: 99%

RETRACTED ARTICLE: Identify and measure the degree of over-prevention behaviors in the post-COVID-19 era in China

Deng

2021

BMC Public Health

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Background With the spread of vaccines, more and more countries have controlled the outbreak of the COVID-19. In this post-epidemic era, these countries began to revive their economy. However, pollution remains in the environment, and people’s physical and psychological health has been under threat due to some over-prevention behaviors. Instruments for governmental agencies to manage these behaviors are not yet available. This study aims to develop a measurement model to identify and measure the degree of over-prevention behaviors during the COVID-19 epidemic in China. Methods A survey online was conducted to collect cognition from 1528 Chinese people, including descriptions of various over-prevention behaviors defined by health authorities. Factor analyses were used to develop the measurement model and test its validity. Logistic regression analyses were conducted to explore demographic characteristics, indicating people who are inclined to exhibit over-prevention behaviors. Results Four main factors were extracted to develop the model (eigenvalue = 7.337, 3.157, 1.447, and 1.059, respectively). The overall reliability (Cronbach’s α = 0.900), the convergent (AVE > 0.5, CR > 0.8 for each factor) and discriminant validity is good. There is also a good internal consistency among these factors (Cronbach’s α = 0.906, 0.852, 0.882, and 0.763, respectively). In Factor 1, gender has a negative effect (Beta = − 0.294, P < 0.05, OR = 0.745), whereas employment has a positive effect. Workers in institutions exhibit the greatest effect (Beta = 0.855, P < 0.001, OR = 2.352). In Factor 2, employment has a negative effect, with workers in institutions exhibit the greatest role (Beta = − 0.963, P < 0.001, OR = 0.382). By contrast, education level has a positive effect (Beta = 0.430, P < 0.001, OR = 1.537). In Factor 3, age plays a negative role (Beta = − 0.128, P < 0.05, OR = 0.880). Conclusions People show a discrepancy in the cognition toward various over-prevention behaviors. The findings may have implications for decision-makers to reduce the contradiction between the epidemic and economic revival via managing these behaviors.

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Section: Discussionmentioning

confidence: 99%

RETRACTED ARTICLE: Identify and measure the degree of over-prevention behaviors in the post-COVID-19 era in China

Deng

2021

BMC Public Health

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“…Previous studies have reported a decrease in HRQoL across multiple domains with lower scores in patients recovering from severe COVID-19. 4,5,10,14,15,17,18,28 Simultaneously to persistent symptoms and decreased HRQoL, some studies have also reported residual chest imaging abnormalities and lung diffusion impairment up to 6 months after recovery from acute illness, suggesting one possible explanation for long COVID syndrome. 5,15 To further understand the long-term effect of COVID-19 disease as compared to other respiratory illnesses, we matched a subgroup of our study patients to patients that were hospitalized with non-COVID-19 pneumonia during the same period.…”

Section: Discussionmentioning

confidence: 99%

“…14 In additional studies, healthrelated quality of life (HRQoL) was decreased in the weeks following recovery from acute COVID-19 infection, including decreased mobility and physical functioning, decreased social functioning, anxiety, depression, and pain. [4][5][6][7][15][16][17][18] Other pathogens causing pneumonia and hospitalization can adversely affect PROMs and cause a decrease in HRQoL during the months following discharge. This has been previously shown in patients recovering from community-acquired pneumonia even up to 1 year after infection.…”

Section: Introductionmentioning

confidence: 99%

Patient-Reported Outcome Measures After Hospitalization During the COVID-19 Pandemic: A Survey Among COVID-19 and Non-COVID-19 Patients

Elkan¹,

Dvir²,

Keller³

et al. 2021

IJGM

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Background Many people recovering from COVID-19 suffer from long-term sequelae. The objective of this study was to assess health-related quality of life (HRQoL) in COVID-19 patients several months after discharge. Methods We conducted a retrospective cross-sectional case–control study on COVID-19 and non-COVID-19 pneumonia patients admitted to Shamir Medical Center, Israel (03–07/2020). In the months following discharge, patients were invited to participate in a survey and fill the RAND-36 questionnaire. Patients’ characteristics and comorbidities were extracted from electronic charts. Results Among 66 COVID-19 participants, the median age was 58.5 (IQR 49.8–68.3), 56.1% were female, and 36.4% were obese. The median length of stay was 7 days (IQR 4–10). Patient-reported outcome measures were reported at a median follow-up of 9-months (IQR 6–9). Pain, general health, vitality, and health change had the lowest scores (67.5, 60, 57.5, and 25, respectively). Matching to patients hospitalized with pneumonia due to other pathogens was performed on 42 of the COVID-19 patients. Non-COVID-19 patients were more frequently current or past smokers (50% vs 11.9%, p < 0.01) and suffered more often from chronic lung disease (38.1% vs 9.5%, p = 0.01). The score for health change was significantly lower in the COVID-19 group (25 vs 50, p < 0.01). Conclusion Post COVID-19 patients continue to suffer from an assortment of symptoms and perceive a deterioration in their health many months after hospitalization. This emphasizes the importance of prolonged medical follow-up in this population, and the need for additional research to better understand this novel disease’s long-term effects.

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“…Moreover, the follow-up of these patients could be furtherly complicated by the health systems overload due to the repeated pandemic waves and by the need to recover ordinary activity for non-COVID diseases [22]. A recent online survey evidenced both physical and mental sequelae one year after COVID-19 syndrome for both survivors and their relatives, with age, sex, distance from COVID-19 diagnosis, and length of hospital stay being significant predictors of HRQoL impairment [23]. This is the first literature report specifically focusing on ICU survivors who required IMV and our results strengthen the information that more than half of C-ARDS survivors report significant impairment in HRQoL and persistent symptoms, in particular dyspnea, at 1 year after ICU discharge.…”

Section: Health-related Quality Of Life Trajectoriesmentioning

confidence: 99%

Health-related quality of life profiles, trajectories, persistent symptoms and pulmonary function one year after ICU discharge in invasively ventilated COVID-19 patients, a prospective follow-up study

Gamberini

Mazzoli

Prediletto

et al. 2021

Respiratory Medicine

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Background: Health-related quality of life (HRQoL) impairment is often reported among COVID-19 ICU survivors, and little is known about their long-term outcomes. We evaluated the HRQoL trajectories between 3 months and 1 year after ICU discharge, the factors influencing these trajectories and the presence of clusters of HRQoL profiles in a population of COVID-19 patients who underwent invasive mechanical ventilation (IMV). Moreover, pathophysiological correlations of residual dyspnea were tested. Methods: We followed up 178 survivors from 16 Italian ICUs up to one year after ICU discharge. HRQoL was investigated through the 15D instrument. Available pulmonary function tests (PFTs) and chest CT scans at 1 year were also collected. A linear mixed-effects model was adopted to identify factors associated with different HRQoL trajectories and a two-step cluster analysis was performed to identify HRQoL clusters. Results: We found that HRQoL increased during the study period, especially for the significant increase of the physical dimensions, while the mental dimensions and dyspnea remained substantially unchanged. Four main 15D profiles were identified: full recovery (47.2%), bad recovery (5.1%) and two partial recovery clusters with mostly physical (9.6%) or mental (38.2%) dimensions affected. Gender, duration of IMV and number of comorbidities significantly influenced HRQoL trajectories. Persistent dyspnea was reported in 58.4% of patients, and weakly, but significantly, correlated with both DLCO and length of IMV. Conclusions: HRQoL impairment is frequent 1 year after ICU discharge, and the lowest recovery is found in the mental dimensions. Persistent dyspnea is often reported and weakly correlated with PFTs alterations. Trial registration: NCT04411459. 15D score 3 months -mean ± SD 0.857 ± 0.133 0.927 ± 0.061 0.800 ± 0.135 0.853 ± 0.114 0.637 ± 0.204 < 0.001 15D score 1 year -mean ± SD 0.880 ± 0.115 0.964 ± 0.033 0.820 ± 0.068 0.866 ± 0.088 0.572 ± 0.112 < 0.001 Mobility -mean ± SD 0.876 ± 0.207 0.963 ± 0.104 0.828 ± 0.191 0.901 ± 0.166 0.375 ± 0.298 < 0.001 Vision -mean ± SD 0.953 ± 0.119 0.992 ± 0.040 0.942 ± 0.108 0.949 ± 0.094 0.681 ± 0.280 < 0.001 Hearing -mean ± SD 0.968 ± 0.098 1.000 ± 0.000 1.000 ± 0.000 0.745 ± 0.135 0.857 ± 0.192 < 0.001 Breathing -mean ± SD 0.746 ± 0.238 0.879 ± 0.154 0.620 ± 0.227 0.753 ± 0.223 0.438 ± 0.238 < 0.001 Sleeping -mean ± SD 0.838 ± 0.238 0.940 ± 0.135 0.716 ± 0.274 0.929 ± 0.142 0.632 ± 0.312 < 0.001 Eating -mean ± SD 0.979 ± 0.102 1.000 ± 0.000 1 .000 ± 0.000 1.000 ± 0.000 0.587 ± 0.221 < 0.001 Speech -mean ± SD 0.980 ± 0.090 0.996 ± 0.032 0.996 ± 0.036 0.948 ± 0.117 0.777 ± 0.276 < 0.001 Excretion -mean ± SD 0.974 ± 0.110 1.000 ± 0.000 1.000 ± 0.000 0.872 ± 0.191 0.720 ± 0.292

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Measuring the impact of COVID-19 on the quality of life of the survivors, partners and family members: a cross-sectional international online survey

Cited by 82 publications

References 25 publications

RETRACTED ARTICLE: Identify and measure the degree of over-prevention behaviors in the post-COVID-19 era in China

RETRACTED ARTICLE: Identify and measure the degree of over-prevention behaviors in the post-COVID-19 era in China

Patient-Reported Outcome Measures After Hospitalization During the COVID-19 Pandemic: A Survey Among COVID-19 and Non-COVID-19 Patients

Health-related quality of life profiles, trajectories, persistent symptoms and pulmonary function one year after ICU discharge in invasively ventilated COVID-19 patients, a prospective follow-up study

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