Psychological distress of cancer patients caused by treatment delay during the COVID-19 pandemic in China: A cross-sectional study

Delayed Access to Medical Care and Psychological Distress among Chinese Immigrants in Canada during the Pandemic

The psychological impact of medical care accessibility during the pandemic has been widely studied, but little attention has been given to Asian immigrants in Canada. This study aimed to fill this literature gap by using a cross-sectional survey, which aimed to evaluate the impact of the COVID-19 pandemic on Chinese immigrants in North America during the second wave of the pandemic. The study focused on Chinese immigrants aged 16 or older in Canada. Covariates included sociodemographic variables, delayed access to medical care (i.e., treatment or health assessment), and other COVID-19 related variables. We used logistic LASSO regression for model selection and multivariate logistic regression models to evaluate the association between delayed access to treatment/health assessment and psychological distress outcome, as measured by the COVID-19 Peritraumatic Distress Index (CPDI). Missing data were handled using multiple imputation. Our study included 746 respondents, with 47.18% in the normal CPDI group and 36.82% in the mild-to-severe CPDI group. Most respondents were originally from Mainland China and residing in Ontario. Over half have stayed in Canada for at least 15 years. The multivariate logistic regression models identified significant risk predictors of psychological distress status: delayed access to medical care (OR = 1.362, 95% CI: 1.078-1.720, p = 0.0095), fear of COVID-19 (OR = 1.604, 95% CI: 1.293-1.989, p < 0.0001), and social loneliness (OR = 1.408, 95%CI: 1.314-1.508, p < 0.0001). Sociodemographic variables and other COVID-19-related variates did not significantly impact the study's outcome. Our findings shed light on the importance of timely medical care access to psychological well-being among Chinese Canadians. Reliable health information, mental health support, and virtual care tailored to immigrants should be considered to mitigate this impact and promote their overall health and well-being.

Impact Analysis of COVID-19 Pandemic on Hospital Reviews on Dianping Website in Shanghai, China: Empirical Study

BACKGROUND

In the era of the internet, individuals have increasingly accustomed themselves to gathering necessary information and expressing their opinions on public web-based platforms. The health care sector is no exception, as these comments, to a certain extent, influence people's health care decisions. During the onset of the COVID-19 pandemic, how the medical experience of Chinese patients and their evaluations of hospitals have changed remains to be studied. Therefore, we plan to collect patient medical visit data from the internet to reflect the current status of medical relationships under specific circumstances.

OBJECTIVE

This study aims to explore the differences in patient comments across various stages (during, before, and after) of the COVID-19 pandemic, as well as among different types of hospitals (children's hospitals, maternity hospitals, and tumor hospitals). Additionally, by leveraging ChatGPT (OpenAI), the study categorizes the elements of negative hospital evaluations. An analysis is conducted on the acquired data, and potential solutions that could improve patient satisfaction are proposed. This study is intended to assist hospital managers in providing a better experience for patients who are seeking care amid an emergent public health crisis.

METHODS

Selecting the top 50 comprehensive hospitals nationwide and the top specialized hospitals (children's hospitals, tumor hospitals, and maternity hospitals), we collected patient reviews from these hospitals on the Dianping website. Using ChatGPT, we classified the content of negative reviews. Additionally, we conducted statistical analysis using SPSS (IBM Corp) to examine the scoring and composition of negative evaluations.

RESULTS

A total of 30,317 pieces of effective comment information were collected from January 1, 2018, to August 15, 2023, including 7696 pieces of negative comment information. Manual inspection results indicated that ChatGPT had an accuracy rate of 92.05%. The F1-score was 0.914. The analysis of this data revealed a significant correlation between the comments and ratings received by hospitals during the pandemic. Overall, there was a significant increase in average comment scores during the outbreak (P<.001). Furthermore, there were notable differences in the composition of negative comments among different types of hospitals (P<.001). Children's hospitals received sensitive feedback regarding waiting times and treatment effectiveness, while patients at maternity hospitals showed a greater concern for the attitude of health care providers. Patients at tumor hospitals expressed a desire for timely examinations and treatments, especially during the pandemic period.

CONCLUSIONS

The COVID-19 pandemic had some association with patient comment scores. There were variations in the scores and content of comments among different types of specialized hospitals. Using ChatGPT to analyze patient comment content represents an innovative approach for statistically assessing factors contributing to patient dissatisfaction. The findings of this study could provide valuable insights for hospital administrators to foster more harmonious physician-patient relationships and enhance hospital performance during public health emergencies.

Delayed and unmet prescription drug access linked to elevated anxiety symptoms during COVID-19: Retrospective findings from the NLSY79 child and young adult cohort

Background

The COVID-19 pandemic produced substantial challenges to pharmacy systems worldwide and provoked concerns about a wider influence on mental health. While various studies have investigated the relationship between disruptions in access to healthcare and mental health, the effects of delayed and unmet access to prescription drugs on anxiety-related outcomes have been underexamined.

Objective

This study analyzed the impact of delayed and unmet access to prescription drugs on anxiety-related outcomes, including anxiety, inability to stop or control worrying, worrying too much, trouble relaxing, trouble sitting still, being annoyed or irritable, and fear of future events, before and during the COVID-19 pandemic.

Methods

A retrospective observational study was performed using the National Longitudinal Survey of Youth 79 Child and Young Adult dataset, encompassing 2193 individuals. One-way multivariate analysis of covariance (MANCOVA) analyses were conducted to examine the relationship between access to prescription drugs and anxiety-related symptoms.

Results

The findings show that, before the pandemic, instances of delayed/unable to access prescription drugs were either not linked to anxiety symptoms or, in some cases, were linked to anxiety symptoms but no different than during the pandemic. Delayed access to prescription drugs amid the pandemic was significantly linked with increases in anxiety symptoms not found pre-pandemic, including worrying too much (F = 18.433, p < .001, η2p = 0.017), trouble relaxing (F = 11.423, p < .001, η2p = 0.010), and being easily annoyed or irritable (F = 3.881, p = .021, η2p = 0.004). Similarly, unmet access to prescription drugs amid the pandemic was significantly linked with increases in anxiety-related symptoms not found pre-pandemic, including an inability to stop or control worrying (F = 14.666, p < .001, η2p = 0.013) and worrying too much (F = 18.433, p < .001, η2p = 0.017).

Conclusions

These results have implications for pharmacy administrators and policymakers seeking to understand and limit adverse mental health outcomes within pharmacy during times of crisis.

Postvaccine Era COVID-19 Pandemic-Related Distress in Palliative Care Patients With Advanced Cancer

CONTEXT

The COVID-19 pandemic represents a source of distress in patients with advanced cancer; however, few studies have examined the extent of pandemic-related distress in the postvaccine era.

OBJECTIVES

We conducted a cross-sectional survey to examine pandemic-related distress among patients seen by palliative care after vaccine availability.

METHODS

Patients at our palliative care clinic were surveyed from April 2021 to March 2022 regarding 1) pandemic-related distress level, 2) potential contributors to pandemic-related distress, 3) coping strategies, 4) demographic factors and symptom burden. Univariate and multivariate analyses identified factors associated with pandemic-related distress.

RESULTS

A total of 200 patients completed the survey. Of 79 (40%, 95% confidence interval [CI]: 33%, 46%) reported worse pandemic-related distress. Patients who reported greater distress were more likely to report worse social isolation (67 [86%] vs. 52 [43%]), staying home more often (75 [95%] vs. 95 [79%]), more negative experience staying at home (26 [33%] vs. 11 [9%]), worse stress with child-care duties (14 [19%] vs. 4 [3%]), less seeing family/friends (63 [81%] vs. 72 [60%]), and more difficulty traveling to medical appointments (27 [35%] vs. 20 [17%]). Thirty-seven patients (19%) reported more difficulty getting medical appointments. In multivariable analysis, younger age (odds ratio [OR], 0.97; 95% CI, 0.92-0.99; P = 0.01), worse isolation status (OR, 6.87; 95% CI, 2.76-17.12; P < 0.001), and more negative attitude towards staying home (OR, 4.49; 95% CI, 1.6-12.57; P = 0.004) were associated with pandemic-related distress.

CONCLUSIONS

Patients with advanced cancer continued to experience pandemic-related distress in the postvaccine era. Our findings highlight potential opportunities to support patients.

Psychological Well-Being of Cancer Patients before and during the Pandemic: The Impact of COVID-19 Peritraumatic Distress

BACKGROUND

This study aimed to evaluate the psychological impact of the COVID-19 pandemic on cancer patients.

METHODS

Ninety cancer patients undergoing chemotherapy with antiblastics were recruited from a tertiary medical center and completed a battery of standardized questionnaires to assess anxiety, depression, peritraumatic stress, and quality of life before and during the pandemic.

RESULTS

Quality of life worsened significantly during the pandemic compared with the pre-pandemic period. Anxiety and depression levels also increased significantly during the pandemic. COVID-19 peritraumatic distress significantly predicted lower quality-of-life scores during the pandemic.

CONCLUSIONS

COVID-19 distress affected the overall quality of life of patients who already had lower levels of quality of life before the pandemic and who had advanced cancers. Cancer patients must receive adequate support from psychiatrists and psychologists to mitigate the psychological distress related to the pandemic.

The ocular symptoms and signs during the COVID-19 pandemic

PURPOSE

The aim of this cohort study was to describe the change in ocular surface signs and symptoms before and during the COVID-19 pandemic, and to associate changes with potential pandemic-related events.

METHODS

First-visit patients from 2019 to 2021 were examined for corneal staining, lacrimal function and refraction. We assessed the presence of seven common ocular symptoms. Patients with glaucoma and macular disease were excluded. Dry eye (DE) was diagnosed according to the criteria of the Asia Dry Eye Society.

RESULTS

The mean age of 3,907 participants was 59.6±18.6y and 63.8% were female. Mean age and the prevalence of diagnosed DE and shortened tear break-up time decreased from 2019 to 2021. The prevalence of eye fatigue, blurring and photophobia decreased in 2020.

CONCLUSIONS

The prevalence of diagnosed DE did not increase among first-visit patients during the pandemic compared with 2019, despite many survey results suggesting that DE may have worsened due to frequent masking, increased screen time, mental stress, and depression under quarantine and social infection control. It might be considered however, that many elderly DE patients might have refrained from consulting an ophthalmologist and possibly delayed treatment of DE during the pandemic.

Prevalence and Outcomes of COVID-19 among Hematology/Oncology Patients and Providers of a Community-Facing Health System during the B1.1.529 (“Omicron”) SARS-CoV-2 Variant Wave

Simple Summary

The COVID-19 pandemic continues, and cancer patients are at high risk for both contracting as well as dying from the infection. There is not as much data known about newer COVID-19 variants such as Omicron compared to earlier waves for patients with cancer. In this study, we retrospectively evaluated how COVID-19 positivity affected both patients and their providers in our community-facing cancer clinic. We found that 33.3% compared to 8.7% of cancer providers versus patients, respectively, tested positive for COVID-19 from December 2021 through April 2022 (p = 0.038). Furthermore, we saw that almost two-thirds of cancer patients experienced delays in receiving cancer treatments. Finally, over 10% of cancer patients (4 of 90) died during the Omicron wave. This study confirms that COVID-19 remains a formidable infection in terms of cancer patients’ treatment as well as livelihood, and continues to result in considerable health care disparities for disadvantaged populations.

Abstract

(1) Background: the SARS-CoV-2 (COVID-19) pandemic continues, and patients actively receiving chemotherapy are known to be at enhanced risk for developing symptomatic disease with poorer outcomes. Our study evaluated the prevalence of COVID-19 among patients and providers of our community-facing county health system during the B1.1.529 (“Omicron”) COVID-19 variant wave. (2) Methods: We retrospectively analyzed patients that received care and clinical providers whom worked at the Jackson Memorial Hospital Hematology/Oncology clinic in Miami, Florida, USA, from 1 December 2021 through 30 April 2022. We assessed demographic variables and quality outcomes among patients. (3) Results: 1031 patients and 18 providers were retrospectively analyzed. 90 patients tested positive for COVID-19 (8.73%), while 6 providers tested positive (33.3%) (p = 0.038). There were 4 (10.3%) COVID-19-related deaths (and another outside our study timeframe) and 39 non-COVID-19-related deaths (89.7%) in the patient population (p = 0.77). COVID-19 accounted for 4.44% of our clinic’s total mortality, and delayed care in 64.4% of patients. (4) Conclusions: The prevalence of COVID-19 positivity in our patient cohort mirrored local, state, and national trends, however a statistically significant greater proportion of our providers tested positive. Almost two-thirds of patients experienced a cancer treatment delay, significantly impacting oncologic care.

Determinants of COVID-19 Outcome as Predictors of Delayed Healthcare Services among Adults ≥50 Years during the Pandemic: 2006-2020 Health and Retirement Study

BACKGROUND

The coronavirus disease 19 (COVID-19) was declared a global pandemic on 11 March 2020. To date, a limited number of studies have examined the impact of this pandemic on healthcare-seeking behaviors of older populations. This longitudinal study examined personal characteristics linked to COVID-19 outcomes as predictors of self-reported delayed healthcare services attributed to this pandemic, among U.S. adults, ≥50 years of age.

METHODS

Secondary analyses were performed using cross-sectional data (1413 participants) and longitudinal data (2881 participants) from Health and Retirement Study (HRS) (2006-2018) linked to the 2020 HRS COVID-19 Project (57% female, mean age: 68 years). Demographic, socioeconomic, lifestyle and health characteristics were evaluated in relation to delayed overall, surgical and non-surgical healthcare services ("Since March 2020, was there any time when you needed medical or dental care, but delayed getting it, or did not get it at all?" and "What type of care did you delay") using logistic regression and Ensemble machine learning for cross-sectional data as well as mixed-effects logistic modeling for longitudinal data.

RESULTS

Nearly 32.7% delayed healthcare services, 5.8% delayed surgical services and 31.4% delayed non-surgical services. Being female, having a college degree or higher and 1-unit increase in depression score were key predictors of delayed healthcare services. In fully adjusted logistic models, a history of 1 or 2 cardiovascular and/or metabolic conditions (vs. none) was associated with 60-70% greater odds of delays in non-surgical services, with distinct findings for histories of hypertension, cardiovascular disease, diabetes and stroke. Ensemble machine learning predicted surgical better than overall and non-surgical healthcare delays.

CONCLUSION

Among older adults, sex, education and depressive symptoms are key predictors of delayed healthcare services attributed to the COVID-19 pandemic. Delays in surgical and non-surgical healthcare services may have distinct predictors, with non-surgical delays more frequently observed among individuals with a history of 1 or 2 cardiovascular and/or metabolic conditions.

Has the COVID-19 pandemic affected the psychological state of arab cancer patients?

The Covid-19 pandemic has increased the vulnerability of cancer patients to psychological symptoms, in addition to treatment modality issues. The present study has aimed to determine the psychological state of Arab cancer patients during the COVID-19 pandemic and to explore the contributing factors. A cross-sectional, descriptive, correlational design with the Hospital Anxiety and Depression Scale (HADS), Insomnia Severity Index (ISI), Functional Assessment of Cancer Therapy-Fatigue subscale (FACT-F), and the Functional Assessment of Cancer Therapy-General (FACT-G) were used to collect the data. Out of 291 participants, 60.5% were female; 22.7% were 51-60 years; 31.6% were diagnosed with breast cancer; 44.3% with stage 2 cancer; 23% had contracted COVID-19; and 43.3% had received their first dose of the vaccine. The main study findings are: 74.9% had anxiety, 64.3% experienced depression, 68% suffered from insomnia, and 69.8% had fatigue. Quality of life (QoL) was low among cancer patients who had marked anxiety, depression, insomnia, or fatigue, and these findings were statistically significant (p < 0.05). Predictive factors showed males were 5.09 times more likely to report depression; gynecological cancer patients were 40.4 times more likely to experience insomnia, and patients who had COVID-19 were 5.13 times more likely to report fatigue. The study findings reveal that the COVID-19 pandemic affected the psychological state of cancer patients and had a significant effect on their quality of life. Hence, there is a need to develop a holistic cancer health care approach, which is often limited in Arab countries, to help patients manage these symptoms effectively and to decrease the prevalence of mental health morbidity.