Background: To combat the COVID-19 pandemic, several countries imposed strict lockdown to ensure social distancing to limit the spread of the virus. This caused difficulties in the management and care of patients with various chronic disorders including dementia. Objectives: The objective of the study was to explore the health condition of patients with dementia and assess their caregivers’ burden during the lockdown. Methods: A total of 57 caregivers of patients with dementia who had attended the cognitive clinic of the institute for a follow-up within 1 year preceding the lockdown were assessed through telephonic interviews. Caregivers’ details were noted following an interview related to the patients’ health condition during lockdown and caregiver concerns. Results: Findings showed a deterioration in memory in 66.7% of patients with dementia and an increase in symptoms like agitation, sleeplessness, low mood, restlessness, aggression, etc., Caregivers felt helpless and had to manage new concerns and they were not sure as to how to deal with the situation. Conclusion: The lockdown situation disrupted the health conditions of dementia patients and caregivers faced novel challenges while managing them.
Objectives: Parkinson's disease (PD) patients have suffered during the coronavirus disease 2019 pandemic, with worsening of both motor and nonmotor symptoms. We conducted this study to evaluate the quality of life (QoL) and concerns of PD patients and their caregivers. Methods: The study was conducted in mixed method, where the baseline data was taken by face-to-face interview during the unlock phase of December 2020 to March 2021, when there was no lockdown. This included demography, Hoehn and Yahr (HY) stage, Parkinson's Disease Questionnaire-8 (PDQ-8), and Parkinson's Disease Questionnaire for Carer (PDQ-Carer). During the second wave of COVID-19 (April–June 2021), telephonic interview was conducted using Depression, Anxiety Stress Scale- 21 Items (DASS-21), PDQ-8, PDQ-Carer, and open-ended questions regarding their concerns. Results: Compared with the baseline data, PDQ-8 and PDQ-Carer scores showed significant worsening during the second wave. DASS-21 scores had significant correlation with PDQ-Carer and PDQ-8 scores. Female patients reported poorer QoL. Caregivers of non-vaccinated patients had worse PDQ-Carer Strain scores. There was no significant association between worsening of motor symptoms and PDQ-8 and PDQ-Carer scores. More than 80% patients and 70% caregivers reported anxiety and depression. Their concerns were regarding difficulties due to social isolation, restriction of activity, and financial constraints. Additionally, there were worries about patient care, vaccination, and recurrence of the wave. Conclusions: The QoL of both patients and their caregivers were affected by the pandemic. A significant proportion had anxiety and depression, and this correlated with QoL. There were some important concerns on various aspects of the pandemic.
Objective Bengali, the 6th most spoken language globally with 268 million speakers, demands a culturally appropriate tool for screening any cognitive compromise in this population. Addenbrooke Cognitive Examination-III (ACE-III) is a standardized tool used for screening and/or diagnostic purpose worldwide. The aim of the present study was to adapt and validate ACE-III into Bengali language. Methods The ACE-III UK Version A (2012) was adapted with linguistically and culturally appropriate items and validated on Bengali speakers. The participants consisted of 40 dementia and 22 Mild Cognitive Impairment (MCI) patients and 120 healthy-controls. Reliability and validity were examined. Discriminant function analysis was done. Sensitivity and specificity were evaluated and optimum cut-offs were established for MCI and dementia. Results Both sensitivity and specificity of ACE-III-Bengali of identifying dementia was 1; sensitivity for MCI ranged from 0.83 to 1, specificity from 0.76 to 1. Discriminant function analysis showed a significant difference in all domains of ACE-III-Bengali between healthy individuals and persons with neurocognitive impairment. Separate optimum ACE-III-Bengali cut-off scores were established according to level of education. For low education (<Class 10) cut-off was 83 for dementia and 86 for MCI, whereas, for high education (≥Class 10) it was 85 and 88 for dementia and MCI, respectively. The area under curve for distinguishing dementia and MCI ranged from 0.949 to 0.955. Conclusion The ACE-III-Bengali is found to have high diagnostic accuracy in identifying dementia and MCI in the Bengali population.
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