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Advancements in cancer treatment and early detection have extended survival rates, transforming many cancers into chronic conditions. However, cancer diagnosis and treatment can trigger significant psychological distress, including depression and anxiety, impacting patient outcomes and care. This study aimed to examine the prevalence of and identify the risk factors for depression and anxiety among cancer patients. A cross-sectional study was conducted, including patients under the care of the oncology department at a tertiary medical center between June 2021 and October 2023. Depression and anxiety were assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) short forms. Logistic regression analysis identified risk factors for depression and anxiety. The study population included 159 patients, with 40.3% reporting worsening mental health, but only about half of them received therapy. Among the study participants, 22.6% experienced symptoms of depression and 30.2% experienced symptoms of anxiety. Single-cancer patients and those with metastases were at increased risk for depression, while those with a disease duration of more than a year and patients with female-specific cancer were more likely to experience anxiety. Given the high prevalence of mental health deterioration in cancer patients, closer monitoring and validated assessment tools are essential to improve depression and anxiety diagnosis and facilitate early interventions.
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BACKGROUND: Lockdowns and quarantines during the COVID-19 pandemic influenced healthcare services' usage patterns such as emergency department (ED) attendance. During the pandemic, Israel issued three lockdowns (March-May 2020, September-October 2020, and December 2020-February 2021) to mitigate the spread of COVID-19. Little is known about the impact of these lockdowns on ED attendance for injuries in the diverse population of Northern Israel. METHODS: We described patterns of ED attendance before, during, and after COVID-19 lockdowns. We extracted data from medical records of all northern Israeli children aged 0-17 years old who attended Ziv Medical Center (ZMC) emergency department (ED) due to injury, between 01/01/2018 and 10/02/2022. We compared the volume and characteristics of ED attendance during lockdown periods to the same time periods in the 2 years before the pandemic and 1 year after the lockdowns, using chi-square tests. RESULTS: Seven thousand six hundred nineteen northern children attended ZMC ED during the time periods of the study for injuries and were analyzed. Mean attendance numbers during lockdowns decreased compared to previous years, with an increase in injuries proportion (67.8% (1502/2216) vs. 52.7% (2038/3868) p < 0.001). The proportion of 0-4-year-olds attending for injuries during the lockdown increased compared to pre-pandemic (39.68% vs. 30.7%, p < 0.0001). Minority population attendance decreased (27.47% vs. 30.71% p = 0.02). Hospitalization rates increased (13.21% vs. 10.65% p = 0.01). Post-lockdown periods saw a return to the pre-pandemic age and ethnicity distribution. CONCLUSIONS: Compared to previous years, the volume of injuries was lower during lockdowns for all ages, with a relative increase in the proportion of injuries among younger children attending the ED. A lower proportion of attendance from minority groups suggests different health-seeking behavior patterns during emergencies compared to the general population. Understanding these differences will help better plan for future emergencies.
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OBJECTIVES: The objective of this study was to characterize post-COVID condition symptoms and symptom clusters, their duration, and prevalence. METHODS: We conducted a systematic review and random-effects meta-analysis of studies reporting post-COVID-19 symptoms and clusters, respectively. We searched MEDLINE (via PubMed), Scopus, Web of Science, Science Direct, Google Scholar, EBSCOhost, EMBASE, PsycINFO, Cochrane Library, and Mednar for literature reporting on the post-COVID condition up to August 2022. RESULTS: In the 76 included studies, we found that although most symptoms were reported less frequently 7-12 months after infection compared to earlier, over 20% of patients reported at least one post-COVID condition-compatible symptom. In the seven studies reporting post-COVID symptom clusters, neurological clustering was consistently identified, followed by cardiorespiratory and systemic/inflammatory. CONCLUSION: Post-COVID symptom clustering provides direction for research into the etiology, diagnosis, and management of post-COVID conditions. Studies reporting post-COVID symptom clusters remain rare due to the focus on individual symptom reporting. Studies on post-COVID symptom clusters should replace individual symptom reporting to accelerate our understanding of this emerging public health issue.