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AimSocial restriction due to coronavirus disease 2019 (COVID-19) pandemic forced long-term care (LTC) service users to refrain from using services as before, of which degree of change we aim to evaluate in this study. MethodsWe retrospectively analyzed publicly-distributed nationwide statistics summarizing the monthly number of public LTC insurance users in Japan in the period between April 2018 and March 2021. The degree of decline was quantified as odds ratio (OR), where the ratio of a certain month to the reference month was divided by the ratio in the previous year. ResultsThe use of LTC services showed unimodal serial change: it started to decline in March 2020 and reached its largest decline in May 2020, which had insufficiently recovered even as of late 2020. The degree of decline was specifically large in services provided in facilities for community-dwelling elderly individuals (adjusted OR 0.719 (95%CI: 0.664 [~] 0.777) in short-stay services and adjusted OR 0.876 (95%CI: 0.820 [~] 0.935) in outpatient services) but was non-significant in other types of service, including those provided for elderly individuals living in nursing homes. ConclusionsCurrent study showed that community-dwelling elderly individuals who had used outpatient or short-stay services were the segments which were specifically affected by the COVID-19 pandemic in 2020 Japan. It underlines the need for further investigation for the medium- or long-term influence on the mental and physical health of these LTC service users as well as their family caregivers.
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BackgroundThe COVID-19 pandemic has affected not only the emergency medical system, but also patients regular ambulatory care. The number of patients visiting outpatient internal medicine clinics decreased during March-April 2020 compared to 2019. Moreover, the ban on telephone re-examination for outpatient clinics in lieu of ambulatory care for chronic diseases has been lifted since March 2020. In this context, we investigate the impact of the COVID-19 pandemic on ambulatory care at Japanese outpatient clinics for patients with chronic neurological diseases during the first half of 2020. MethodsWe collected data from the administrative claims database by DeSC Healthcare. Serial changes in the frequency of subsequent outpatient visits to clinics or hospitals (excluding large hospitals with beds >200) for chronic ambulatory care of epilepsy, migraine, Parkinsons disease (PD), and Alzheimers disease were measured. We also evaluated the utilization rate of telephone re-examination at outpatient clinics. ResultsSince April 2020, the monthly count of outpatient clinic visits for epilepsy or PD decreased slightly but significantly. The use of telephone re-examination was facility-dependent, and it was used in less than 5% of all outpatient clinic visits for the examined neurological diseases in May 2020. The utilization rate of telephone re-examination was not associated with age or the neurological diseases of interest. ConclusionThe impact of the COVID-19 pandemic on ambulatory care for several chronic neurological diseases may have been relatively limited, in terms of the frequency or type of outpatient visit, during the first half of 2020 in Japan.
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OBJECTIVE: Many studies have reported pre-processing effects for brain volumetry; however, no study has investigated whether non-parametric non-uniform intensity normalization (N3) correction processing results in reduced system dependency when using an atlas-based method. To address this shortcoming, the present study assessed whether N3 correction processing provides reduced system dependency in atlas-based volumetry. MATERIALS AND METHODS: Contiguous sagittal T1-weighted images of the brain were obtained from 21 healthy participants, by using five magnetic resonance protocols. After image preprocessing using the Statistical Parametric Mapping 5 software, we measured the structural volume of the segmented images with the WFU-PickAtlas software. We applied six different bias-correction levels (Regularization 10, Regularization 0.0001, Regularization 0, Regularization 10 with N3, Regularization 0.0001 with N3, and Regularization 0 with N3) to each set of images. The structural volume change ratio (%) was defined as the change ratio (%) = (100 x [measured volume - mean volume of five magnetic resonance protocols] / mean volume of five magnetic resonance protocols) for each bias-correction level. RESULTS: A low change ratio was synonymous with lower system dependency. The results showed that the images with the N3 correction had a lower change ratio compared with those without the N3 correction. CONCLUSION: The present study is the first atlas-based volumetry study to show that the precision of atlas-based volumetry improves when using N3-corrected images. Therefore, correction for signal intensity non-uniformity is strongly advised for multi-scanner or multi-site imaging trials.
