Risk Factors for Progression of Disability Among Japanese Long-term Care Service Users: A 3-year Prospective Observational Study

2015 ◽  
Vol 16 (3) ◽  
pp. B28
Author(s):  
Kuniyasu Kamiya ◽  
Kuniyasu Kamiya ◽  
Takuji Adachi ◽  
Kenji Sasou ◽  
Tadashi Suzuki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Observational Study ◽  
Prospective Observational Study ◽  
Long Term Care ◽  
Care Service ◽  
Service Users ◽  
Term Care

scholarly journals Predictors for Increasing Eligibility Level among Home Help Service Users in the Japanese Long-Term Care Insurance System

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Kuniyasu Kamiya ◽  
Kenji Sasou ◽  
Makoto Fujita ◽  
Sumio Yamada
Keyword(s):  
Risk Factors ◽  
Memory Impairment ◽  
Long Term Care ◽  
Service Users ◽  
Term Care ◽  
Care Level ◽  
Home Help ◽  
Long Term Care Insurance ◽  
Level 1

Objectives. This cross-sectional study described the prevalence of possible risk factors for increasing eligibility level of long-term care insurance in home help service users who were certified as support level 1-2 or care level 1-2 in Japan.Methods. Data were collected from October 2011 to November 2011. Variables included eligibility level, grip strength, calf circumference (CC), functional limitations, body mass index, memory impairment, depression, social support, and nutrition status.Results. A total of 417 subjects (109 males and 308 females, mean age 83 years) were examined. There were 109 subjects with memory impairment. When divided by cut-off values, care level 2 was found to have higher prevalence of low grip strength, low CC, and depression.Conclusions. Some potentially modifiable factors such as muscle strength could be the risk factors for increasing eligibility level.

scholarly journals Change in the trend of long-term care service usage following COVID-19 pandemic in Japan: a survey using nationwide statistical summary in 2018-2021

2021 ◽  
Author(s):  
Kenichiro Sato ◽  
Yoshiki Niimi ◽  
Takeshi Iwatsubo ◽  
Shinya Ishii
Keyword(s):  
Long Term Care ◽  
Care Service ◽  
Community Dwelling ◽  
Service Users ◽  
Short Stay ◽  
Outpatient Services ◽  
Service Usage ◽  
Term Care ◽  
Elderly Individuals

Aim: Social 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. Methods: We 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. Results: The 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. Conclusions: Current 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.

Mobility performance among healthy older adults eligible for long-term care in Japan: a prospective observational study

2019 ◽  
Vol 32 (10) ◽  
pp. 1931-1937
Author(s):  
Hiromasa Otsuka ◽  
Hiroki Kobayashi ◽  
Kiyozumi Suzuki ◽  
Yuta Hayashi ◽  
Jin Ikeda ◽  
...  
Keyword(s):  
Older Adults ◽  
Observational Study ◽  
Prospective Observational Study ◽  
Long Term Care ◽  
Term Care ◽  
Healthy Older Adults ◽  
Mobility Performance

Design and Development of a Web-based Delirium Preventive Application for Long-term Care Facilities: A Methodological Study (Preprint)

2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Cloud System ◽  
Evidence Based ◽  
Methodological Study ◽  
Term Care ◽  
Web Based ◽  
Care Facilities ◽  
Delirium Prevention

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none

scholarly journals Risk factors for COVID-19 diagnosis, hospitalization, and subsequent all-cause mortality in Sweden: a nationwide study

2021 ◽  
Vol 36 (3) ◽  
pp. 287-298
Author(s):  
Jonathan Bergman ◽  
Marcel Ballin ◽  
Anna Nordström ◽  
Peter Nordström
Keyword(s):  
Risk Factors ◽  
Down Syndrome ◽  
Long Term Care ◽  
Care Facility ◽  
Prescription Medication ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
All Cause Mortality

AbstractWe conducted a nationwide, registry-based study to investigate the importance of 34 potential risk factors for coronavirus disease 2019 (COVID-19) diagnosis, hospitalization (with or without intensive care unit [ICU] admission), and subsequent all-cause mortality. The study population comprised all COVID-19 cases confirmed in Sweden by mid-September 2020 (68,575 non-hospitalized, 2494 ICU hospitalized, and 13,589 non-ICU hospitalized) and 434,081 randomly sampled general-population controls. Older age was the strongest risk factor for hospitalization, although the odds of ICU hospitalization decreased after 60–69 years and, after controlling for other risk factors, the odds of non-ICU hospitalization showed no trend after 40–49 years. Residence in a long-term care facility was associated with non-ICU hospitalization. Male sex and the presence of at least one investigated comorbidity or prescription medication were associated with both ICU and non-ICU hospitalization. Three comorbidities associated with both ICU and non-ICU hospitalization were asthma, hypertension, and Down syndrome. History of cancer was not associated with COVID-19 hospitalization, but cancer in the past year was associated with non-ICU hospitalization, after controlling for other risk factors. Cardiovascular disease was weakly associated with non-ICU hospitalization for COVID-19, but not with ICU hospitalization, after adjustment for other risk factors. Excess mortality was observed in both hospitalized and non-hospitalized COVID-19 cases. These results confirm that severe COVID-19 is related to age, sex, and comorbidity in general. The study provides new evidence that hypertension, asthma, Down syndrome, and residence in a long-term care facility are associated with severe COVID-19.

Incidence and risk factors of hospital falls on long-term care wards in Japan

2011 ◽  
Vol 18 (3) ◽  
pp. 572-577 ◽  
Author(s):  
Buichi Tanaka ◽  
Mio Sakuma ◽  
Masae Ohtani ◽  
Jinichi Toshiro ◽  
Tadashi Matsumura ◽  
...  
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Term Care
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