Factors related to satisfaction with long-term care services among low-income Korean elderly adults: A national cross-sectional survey

2017 ◽  
Vol 69 ◽  
pp. 97-104 ◽  
Author(s):  
Chanyeong Kwak ◽  
Eunhee Lee ◽  
Hyunjung Kim
Keyword(s):  
Low Income ◽  
Long Term Care ◽  
Elderly Adults ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Care Services ◽  
Korean Elderly

Long‐term care services and care workers in Hangzhou City, China: A cross‐sectional survey

2019 ◽  
Vol 27 (7) ◽  
pp. 1546-1553 ◽  
Author(s):  
Shaohua Hong ◽  
Ping Yu ◽  
Xueping Chen ◽  
Shiyu Qian
Keyword(s):  
Long Term Care ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Care Services ◽  
Care Workers

scholarly journals Integrating Welfare Technology in Long-term Care Services: Nationwide Cross-sectional Survey Study

10.2196/22316 ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. e22316
Author(s):  
Hanne Marie Rostad ◽  
Randi Stokke
Keyword(s):  
Nursing Homes ◽  
Home Care ◽  
Long Term Care ◽  
Home Care Services ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Care Services ◽  
Welfare Technology

Background Welfare technologies are often described as a solution to the increasing pressure on primary health care services. However, despite initiating welfare technology projects in the health care sector and different government incentives, research indicates that it is difficult to integrate welfare technology innovations in a complex and varying setting, such as long-term care. Objective We aim to describe the types of welfare technology and the extent to which welfare technology is provided in long-term care (ie, nursing homes and home care services); examine whether the extent of welfare technology provision differs on the basis of municipal characteristics (ie, population size, centrality, the proportion of older inhabitants, and income); and identify how local governments (ie, municipalities) describe their efforts toward integrating welfare technologies in long-term care. Methods Quantitative and qualitative data about welfare technology from a larger cross-sectional survey about the provision of long-term care services in Norwegian municipalities were combined with registry data. Representatives of 422 Norwegian municipalities were invited to participate in the survey. Frequencies were used to describe the distribution of the types and extent of welfare technologies, whereas the Fisher exact test and Kruskal-Wallis one-way analysis of variance were used to determine the association between the extent of welfare technology and municipal characteristics. Free-form text data were analyzed using thematic analysis. Results A total of 277 municipalities were surveyed. Technology for safety was the most widespread type of welfare technology, whereas technology for social contact was the least prevalent. Two-thirds of the sample (183/277, 66.1%) in nursing home and (197/277, 71.1%) in home care services reported providing one or two different types of welfare technology. There was a statistically significant association between the extent of welfare technology and population size (in both nursing homes and home care services: P=.01), centrality (nursing homes: P=.01; home care services: P<.001), and municipal income (nursing homes: P=.02; home care services: P<.001). The extent of welfare technology was not associated with the proportion of older adults. The municipalities described being in a piloting phase and committing to future investment in welfare technology. Monetary resources were allocated, competency development among staff was initiated, and the municipalities were concerned about establishing collaborations within and between municipalities. Home care services seem to have a more person-centered approach in their efforts toward integrating welfare technologies, whereas nursing homes seem to have a more technology-centered approach. Conclusions Many municipalities provide welfare technologies; however, their extent is limited and varies according to municipal characteristics. Municipal practices still seem dominated by piloting, and welfare technologies are not fully integrated into long-term care services. Innovation with welfare technology appears top-down and is influenced by national policy but also reflects creating a window of opportunity through the organization of municipal efforts toward integrating welfare technology through, for example, collaborations and committing personnel and financial resources.

scholarly journals Integrating Welfare Technology in Long-term Care Services: Nationwide Cross-sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Hanne Marie Rostad ◽  
Randi Stokke
Keyword(s):  
Nursing Homes ◽  
Home Care ◽  
Long Term Care ◽  
Home Care Services ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Care Services ◽  
Welfare Technology

BACKGROUND Welfare technologies are often described as a solution to the increasing pressure on primary health care services. However, despite initiating welfare technology projects in the health care sector and different government incentives, research indicates that it is difficult to integrate welfare technology innovations in a complex and varying setting, such as long-term care. OBJECTIVE We aim to describe the types of welfare technology and the extent to which welfare technology is provided in long-term care (ie, nursing homes and home care services); examine whether the extent of welfare technology provision differs on the basis of municipal characteristics (ie, population size, centrality, the proportion of older inhabitants, and income); and identify how local governments (ie, municipalities) describe their efforts toward integrating welfare technologies in long-term care. METHODS Quantitative and qualitative data about welfare technology from a larger cross-sectional survey about the provision of long-term care services in Norwegian municipalities were combined with registry data. Representatives of 422 Norwegian municipalities were invited to participate in the survey. Frequencies were used to describe the distribution of the types and extent of welfare technologies, whereas the Fisher exact test and Kruskal-Wallis one-way analysis of variance were used to determine the association between the extent of welfare technology and municipal characteristics. Free-form text data were analyzed using thematic analysis. RESULTS A total of 277 municipalities were surveyed. Technology for safety was the most widespread type of welfare technology, whereas technology for social contact was the least prevalent. Two-thirds of the sample (183/277, 66.1%) in nursing home and (197/277, 71.1%) in home care services reported providing one or two different types of welfare technology. There was a statistically significant association between the extent of welfare technology and population size (in both nursing homes and home care services: <i>P</i>=.01), centrality (nursing homes: <i>P</i>=.01; home care services: <i>P</i>&lt;.001), and municipal income (nursing homes: <i>P</i>=.02; home care services: <i>P</i>&lt;.001). The extent of welfare technology was not associated with the proportion of older adults. The municipalities described being in a piloting phase and committing to future investment in welfare technology. Monetary resources were allocated, competency development among staff was initiated, and the municipalities were concerned about establishing collaborations within and between municipalities. Home care services seem to have a more person-centered approach in their efforts toward integrating welfare technologies, whereas nursing homes seem to have a more technology-centered approach. CONCLUSIONS Many municipalities provide welfare technologies; however, their extent is limited and varies according to municipal characteristics. Municipal practices still seem dominated by piloting, and welfare technologies are not fully integrated into long-term care services. Innovation with welfare technology appears top-down and is influenced by national policy but also reflects creating a <i>window of opportunity</i> through the organization of municipal efforts toward integrating welfare technology through, for example, collaborations and committing personnel and financial resources.

scholarly journals Factors associated with SARS-CoV-2 infection and outbreaks in long-term care facilities in England: a national cross-sectional survey

2021 ◽  
Vol 2 (3) ◽  
pp. e129-e142 ◽  
Author(s):  
Laura Shallcross ◽  
Danielle Burke ◽  
Owen Abbott ◽  
Alasdair Donaldson ◽  
Gemma Hallatt ◽  
...  
Keyword(s):  
Long Term Care ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Factors Associated ◽  
Care Facilities

scholarly journals A cross-sectional survey assessing the preparedness of the long-term care sector to respond to the COVID-19 pandemic in Ontario, Canada

2020 ◽  
Author(s):  
Henry Yu-Hin Siu ◽  
Lorand Kristof ◽  
Dawn Elston ◽  
Abe Hafid ◽  
Fred Mather
Keyword(s):  
Public Health ◽  
Long Term Care ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Wide Range ◽  
Significant Public Health ◽  
Public Health Officials ◽  
The Government

Abstract Background: The COVID-19 pandemic is a significant public health emergency that impacts all sectors of healthcare. The negative health outcomes for the COVID-19 infection have been most severe in the frail elderly dwelling in Canadian long-term care (LTC) homes.Methods: An online cross-sectional survey of Ontario LTC Clinicians working in LTC homes in Ontario Canada was conducted to provide the LTC clinician perspective on the preparedness and engagement of the LTC sector during the COVID-19 pandemic. The survey questionnaire was developed in collaboration with the Ontario Long-Term Care Clinicians organization (OLTCC) and was distributed between March 30, 2020 to May 25, 2020. All registered members of the OLTCC and Nurse-led LTC Outreach Teams were invited to participate. The primary outcomes were: 1) the descriptive report of the screening measures implemented, communication and information received, and the preparation of the respondent’s LTC home to a potential COVID-19 outbreak; and 2) the level of agreement, as reported using a five-point Likert scale), to COVID-19 preparedness statements for the respondent’s LTC home was also assessed.Results: The overall response rate was 54% (160/294). LTC homes implemented a wide range of important interventions (e.g. instituting established respiratory isolation protocols, active screening of new LTC admissions, increasing education on infection control processes, encouraging sick staff to take time off, etc). Ample communications pertinent to the pandemic were received from provincial LTC organizations, the government and public health officials. However, the feasibility of implementing public health recommendations, as well as the engagement of the LTC sector in pandemic planning were identified as areas of concern. Medical director status was associated with an increased knowledge of local implementation of interventions to mitigate COVID-19, as well as endorsing increased access to reliable COVID-19 information and resources to manage a potential COVID-19 outbreak in their LTC home.Conclusions: This study highlights the communication to and implementation of recommendations in the Ontario LTC sector, despite some concerns regarding feasibility. Importantly, LTC clinician respondents clearly indicated that better engagement with LTC leaders is needed to plan a coordinated pandemic response.

scholarly journals A cross-sectional survey assessing the preparedness of the long-term care sector to respond to the COVID-19 pandemic in Ontario, Canada

2020 ◽  
Author(s):  
Henry Yu-Hin Siu ◽  
Lorand Kristof ◽  
Dawn Elston ◽  
Abe Hafid ◽  
Fred Mather
Keyword(s):  
Public Health ◽  
Long Term Care ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Wide Range ◽  
Significant Public Health ◽  
Public Health Officials ◽  
The Government

Abstract Background: The COVID-19 pandemic is a significant public health emergency that impacts all sectors of healthcare. The negative health outcomes for the COVID-19 infection have been most severe in the frail elderly dwelling in Canadian long-term care (LTC) homes. Methods: An online cross-sectional survey of Ontario LTC Clinicians working in LTC homes in Ontario Canada was conducted to provide the LTC clinician perspective on the preparedness and engagement of the LTC sector during the COVID-19 pandemic. The survey questionnaire was developed in collaboration with the Ontario Long-Term Care Clinicians organization (OLTCC) and was distributed between March 30, 2020 to May 25, 2020. All registered members of the OLTCC and Nurse-led LTC Outreach Teams were invited to participate. The primary outcomes were: 1) the descriptive report of the screening measures implemented, communication and information received, and the preparation of the respondent’s LTC home to a potential COVID-19 outbreak; and 2) the level of agreement, as reported using a five-point Likert scale), to COVID-19 preparedness statements for the respondent’s LTC home was also assessed.Results: The overall response rate was 54% (160/294). LTC homes implemented a wide range of important interventions (e.g. instituting established respiratory isolation protocols, active screening of new LTC admissions, increasing education on infection control processes, encouraging sick staff to take time off, etc). Ample communications pertinent to the pandemic were received from provincial LTC organizations, the government and public health officials. However, the feasibility of implementing public health recommendations, as well as the engagement of the LTC sector in pandemic planning were identified as areas of concern. Medical director status was associated with an increased knowledge of local implementation of interventions to mitigate COVID-19, as well as endorsing increased access to reliable COVID-19 information and resources to manage a potential COVID-19 outbreak in their LTC home. Conclusions: This study highlights the communication to and implementation of recommendations in the Ontario LTC sector, despite some concerns regarding feasibility. Importantly, LTC clinician respondents clearly indicated that better engagement with LTC leaders is needed to plan a coordinated pandemic response.

The relationship between caregivers’ perceptions of end-of-life care in long-term care and a good resident death

2020 ◽  
Vol 18 (6) ◽  
pp. 683-690
Author(s):  
Eunyoung Lee ◽  
Tamara Sussman ◽  
Sharon Kaasalainen ◽  
Pamela Durepos ◽  
Lynn McCleary ◽  
...  
Keyword(s):  
End Of Life ◽  
Long Term Care ◽  
Critical Role ◽  
Good Death ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Spiritual Issues ◽  
Eol Care

AbstractObjectiveQuality end-of-life (EOL) care is critical for dying residents and their family/friend caregivers. While best practices to support resident comfort at EOL in long-term care (LTC) homes are emerging, research rarely explores if and how the type of care received at EOL may contribute to caregivers’ perceptions of a good death. To address this gap, this study explored how care practices at EOL contributed to caregivers’ perceptions of a good resident death.MethodThis study used a retrospective cross-sectional survey design. Seventy-eight participants whose relative or friend died in one of five LTC homes in Canada completed self-administered questionnaires on their perceptions of EOL care and perceptions of a good resident death.ResultsOverall, caregivers reported positive experiences with EOL care and perceived residents to have died a good death. However, communication regarding what to expect in the final days of life and attention to spiritual issues were often missing components of care. Further, when explored alongside direct resident care, family support, and rooming conditions, staff communication was the only aspect of EOL care significantly associated with caregivers’ perceptions of a good resident death.Significance of resultsThe findings of this study suggest that the critical role staff in LTC play in supporting caregivers’ perceptions of a good resident death. By keeping caregivers informed about expectations at the very end of life, staff can enhance caregivers’ perceptions of a good resident death. Further, by addressing spiritual issues staff may improve caregivers’ perceptions that residents were at peace when they died.

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