A Comparative Study of Elderly Home Care Service Support in East Asia - Focusing on Japan and Chin

Author(s):  
Youngran Oh ◽  
Organization ◽  
2012 ◽  
Vol 20 (6) ◽  
pp. 881-903 ◽  
Author(s):  
Ali Yakhlef ◽  
Anna Essén

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Kjell H. Halvorsen ◽  
Cecilie Johannessen Landmark ◽  
Anne Gerd Granas

Introduction. Antiepileptic drugs (AEDs) are used to treat different conditions in elderly patients and are among the drug classes most susceptible to be involved in drug-drug interactions (DDI). The aim of the study was to describe and compare use of AEDs between home care service and nursing home patients, as these patients are not included in nationwide databases of drug utilization. In the combined population, we investigate DDI of AEDs with other central nervous system- (CNS-) active drugs and DDIs involving AEDs in general. Materials and Methods. Point-prevalence study of Norwegian patients in home care services and nursing homes in 2009. At the patient level, we screened for different DDIs involving AEDs. Results. In total, 882 patients (7.8%) of 11,254 patients used AEDs and number of users did not differ between home care services and nursing homes (8.2% versus 7.7%). In the combined population, we identified 436 potential DDIs in 45% of the patients. Conclusions. In a large population of elderly, home care service and nursing home patients do not differ with respect to exposure of AEDs but use more AEDs as compared to the general population of similar age. The risk of DDIs with AEDs and other CNS-active drugs should be taken into consideration and individual clinical evaluations are assessed in this population.


1950 ◽  
Vol 50 (2) ◽  
pp. 49
Author(s):  
Inc. Pathescope Company of America

2021 ◽  
pp. 108482232199477
Author(s):  
Tracy Chippendale ◽  
Patricia Gentile

Most people prefer to age in place. However, there is a growing body of literature to suggest a reluctance to accept supportive services in the home due to concerns about trust, privacy, cost, and fear of being a burden. The purpose of this study was to examine potential facilitators and barriers to accepting home care services in the website content of Licensed Home Care Service Agencies (LHSCA). In this linguistic analysis study, the written content from 88 randomly selected LHCSA websites was examined. We used LIWC2015 and Microsoft® Word software to analyze websites for relevant word categories that reflect older adult identified facilitators and barriers to the acceptance of home care services. Results revealed that the summary score for clout (i.e., confidence and leadership reflected in the writing) was high. Some of the most commonly used word categories were positive emotions, present focused, and affiliation. The word category money was included, but to a lesser degree. However, Burden and related words were highly prevalent in the writing sample. In summary, LHCSA website content contains both facilitators and barriers to the acceptance of home care services. Given the importance of home care services in promoting the ability of older adults to age in place, greater attention may be needed regarding the way services are presented and advertised to consumers.


2013 ◽  
Vol 25 (3) ◽  
pp. 104-109 ◽  
Author(s):  
Haluk Mergen ◽  
Ilhami Unluoglu ◽  
Omur Elcioglu

2019 ◽  
Author(s):  
Linn Nathalie Støme ◽  
Tron Moger ◽  
Kristian Kidholm ◽  
Kari J Kværner

BACKGROUND Home care service in Norway is struggling to meet the increasing demand for health care under restricted budget constraints, although one-fourth of municipal budgets are dedicated to health services. The integration of Web-based technology in at-home care is expected to enhance communication and patient involvement, increase efficiency and reduce cost. DigiHelse is a Web-based platform designed to reinforce home care service in Norway and is currently undergoing a development process to meet the predefined needs of the country’s municipalities. Some of the main features of the platform are digital messages between residents and the home care service, highlighting information on planned and completed visits, the opportunity to cancel visits, and notifications for completed visits. OBJECTIVE This study aimed to test the usability and economic feasibility of adopting DigiHelse in four districts in Oslo by applying registry and behavioral data collected throughout a one-year pilot study. Early health technology assessment was used to estimate the potential future value of DigiHelse, including the predictive value of behavior data. METHODS Outcome measures identified by stakeholder insights and scenario drafting in the project’s concept phase were used to assess potential socioeconomic benefits. Aggregated data were collected to assess changes in health consumption at baseline, and then 15 and 52 weeks after DigiHelse was implemented. The present value calculation was updated with data from four intervention groups and one control group. A quasi-experimental difference-in-difference design was applied to estimate the causal effect. Descriptive behavioral data from the digital platform was applied to assess the usability of the platform. RESULTS Over the total study period (52 weeks), rates increased for all outcome estimates: the number of visits (rate ratio=1.04; <italic>P</italic>=.10), unnecessary trips (rate ratio=1.37; <italic>P</italic>=.26), and phone calls (rate ratio=1.24; <italic>P</italic>=.08). A significant gap was found between the estimated value of DigiHelse in the concept phase and after the one-year pilot. In the present pilot assessment, costs are expected to exceed potential savings by €67 million (US $75 million) over ten years, as compared to the corresponding concept estimates of a potential gain of €172.6 million (US $193.6 million). Interestingly, behavioral data from the digital platform revealed that only 3.55% (121/3405) of recipients actively used the platform after one year. CONCLUSIONS Behavioral data provides a valuable source for assessing usability. In this pilot study, the low adoption rate may, at least in part, explain the inability of DigiHelse to perform as expected. This study points to an early assessment of behavioral data as an opportunity to identify inefficiencies and direct digital development. For DigiHelse, insight into why the recipients in Oslo have not made greater use of the Web-based platform seems to be the next step in ensuring the right improvement measures for the home care service.


10.2196/14780 ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. e14780
Author(s):  
Linn Nathalie Støme ◽  
Tron Moger ◽  
Kristian Kidholm ◽  
Kari J Kværner

Background Home care service in Norway is struggling to meet the increasing demand for health care under restricted budget constraints, although one-fourth of municipal budgets are dedicated to health services. The integration of Web-based technology in at-home care is expected to enhance communication and patient involvement, increase efficiency and reduce cost. DigiHelse is a Web-based platform designed to reinforce home care service in Norway and is currently undergoing a development process to meet the predefined needs of the country’s municipalities. Some of the main features of the platform are digital messages between residents and the home care service, highlighting information on planned and completed visits, the opportunity to cancel visits, and notifications for completed visits. Objective This study aimed to test the usability and economic feasibility of adopting DigiHelse in four districts in Oslo by applying registry and behavioral data collected throughout a one-year pilot study. Early health technology assessment was used to estimate the potential future value of DigiHelse, including the predictive value of behavior data. Methods Outcome measures identified by stakeholder insights and scenario drafting in the project’s concept phase were used to assess potential socioeconomic benefits. Aggregated data were collected to assess changes in health consumption at baseline, and then 15 and 52 weeks after DigiHelse was implemented. The present value calculation was updated with data from four intervention groups and one control group. A quasi-experimental difference-in-difference design was applied to estimate the causal effect. Descriptive behavioral data from the digital platform was applied to assess the usability of the platform. Results Over the total study period (52 weeks), rates increased for all outcome estimates: the number of visits (rate ratio=1.04; P=.10), unnecessary trips (rate ratio=1.37; P=.26), and phone calls (rate ratio=1.24; P=.08). A significant gap was found between the estimated value of DigiHelse in the concept phase and after the one-year pilot. In the present pilot assessment, costs are expected to exceed potential savings by €67 million (US $75 million) over ten years, as compared to the corresponding concept estimates of a potential gain of €172.6 million (US $193.6 million). Interestingly, behavioral data from the digital platform revealed that only 3.55% (121/3405) of recipients actively used the platform after one year. Conclusions Behavioral data provides a valuable source for assessing usability. In this pilot study, the low adoption rate may, at least in part, explain the inability of DigiHelse to perform as expected. This study points to an early assessment of behavioral data as an opportunity to identify inefficiencies and direct digital development. For DigiHelse, insight into why the recipients in Oslo have not made greater use of the Web-based platform seems to be the next step in ensuring the right improvement measures for the home care service.


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