Development of a self-assessment tool to facilitate decision-making in choosing a long term care administration major

2015 ◽  
Vol 42 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Jennifer L. Johs-Artisensi ◽  
Douglas M. Olson ◽  
Abraham Y. Nahm
Keyword(s):  
Decision Making ◽  
Long Term Care ◽  
Assessment Tool ◽  
Self Assessment ◽  
Term Care

scholarly journals The Development of A Self-Appraisal Tool for the Level of Long-Term Care Service Integration

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 849-849
Author(s):  
Yu-Chien Chang ◽  
Ya-Mei Chen
Keyword(s):  
Long Term Care ◽  
Assessment Tool ◽  
Care Service ◽  
Research Question ◽  
Service Integration ◽  
Care Plan ◽  
Level Of Service ◽  
Self Assessment ◽  
Term Care

Abstract Introduction Taiwan is the fastest aging countries in the world. In 2016, Taiwan implemented Long-Term Care Plan 2.0 (LTC Plan 2.0), aims to provide coordinated and integrated LTC services. However, how to assess the level of integration and which integration mechanisms are better applied are still unclear in the literature. This study intended to address a research question regarding “How can agencies measure their level of service integration?” and, therefore, aimed to develop an integration assessment tool—the Taiwanese Self-Assessment for LTC Systems Integration (TwSASI)- for LTC agencies to use to self-evaluate their current “level” of providing integrating LTC services. Methods 　　TwSASI was first developed base on Connie J. Evashwick’s (2005) framework and literature review, including four domains: inter-entity planning and management, care coordination, integrated information system, and integrated financing, and 11 dimensions with 51 items. Through the Delphi method, with two rounds of investigation and feedback from 26 experts, RAND/UCLA Appropriateness Method (RAM) was used to assess the consensus regarding the dimensions and items developed and refined the tool content accordingly. Results After two rounds of investigation, four domains remained with 10, 11, 4, and 5 items in each domain respectively. All items reached good experts' consensus with medians of the 30 items’ importance, feasibility, and appropriateness all over 8. The Scale Content Validity Index (SCVI) of the 4 dimensions all over than 0.9. Conclusion The TwSASI can be feasible for evaluating the level of LTC service integration in Taiwan. LTC agencies can improve their level of service integration accordingly.

Long Term Care Administrator Self-Assessment Tool

2016 ◽  
Author(s):  
Jennifer L. Johs-Artisensi ◽  
Douglas M. Olson ◽  
Abraham Y. Nahm
Keyword(s):  
Long Term Care ◽  
Assessment Tool ◽  
Self Assessment ◽  
Term Care

scholarly journals Attitudes Toward Sexual Behaviors in Long-Term Care: Development of an Assessment Tool

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 602-603
Author(s):  
Rachael Spalding ◽  
Emma Katz ◽  
Barry Edelstein
Keyword(s):  
Sexual Behaviors ◽  
Long Term Care ◽  
Assessment Tool ◽  
Qualitative Interviews ◽  
Family Members ◽  
Community Dwelling ◽  
Term Care ◽  
Care Development

Abstract Most older adults living in long-term care settings (LTCs) indicate that expressing their sexuality is important to them (Doll, 2013). Little is known about the general public’s attitudes towards sexual behaviors in LTCs. Attitudes of LTC residents’ family members are particularly important, as family members are most likely to visit residents and to care about their quality of life. Family members’ attitudes could in turn inform facility policies and management. We will present preliminary data from a series of qualitative interviews with community-dwelling adults regarding their attitudes. We will discuss how these data are being used to inform current work on a measure of attitudes toward sexual behavior in LTCs.

scholarly journals Health status, care needs, and assessment for beneficiaries with or without dementia in a public long-term care insurance pilot in Guangzhou, China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jialan Wu ◽  
Siman Chen ◽  
Huangliang Wen ◽  
Yayan Yi ◽  
Xiaoyan Liao
Keyword(s):  
Barthel Index ◽  
Rasch Analysis ◽  
Long Term Care ◽  
Assessment Tool ◽  
Chinese Government ◽  
Care Needs ◽  
Term Care ◽  
Depth Analysis ◽  
Long Term Care Insurance

Abstract Background Chinese government launched a pilot study on public long-term care insurance (LTCI) recently. Guangzhou is one of the fifteen pilot cities, officially started providing LTCI in August 2017. An in-depth analysis of experimental data from the pilot city may provide suggestions for developing a fair and effective LTCI system. This study aimed to evaluate the LTCI pilot by exploring the characteristics and care needs of claimants, and performance of the assessment tool. Methods A retrospective cross-sectional study in which claims data between July 2018 and March 2019 in the Guangzhou pilot was analyzed. LTCI claimants during the study period were included. The care needs were determined based on claimants’ physical function assessed by the Barthel Index and their medical conditions. Rasch analysis was used to explore the performance of the Barthel Index. Results Among 4810 claimants included, 4582 (95.3%) obtained LTCI benefits. Of these beneficiaries, 4357 (95.1%) were ≧ 60 years old, and 791 (17.3%) had dementia. Among 228 (4.7%) unsuccessful claimants, 22 (0.5%) had dementia. The prevalence of stroke was high in beneficiaries with (38.1%) or without dementia (56.6%), as well as in unsuccessful claimants with (40.9%) or without dementia (52.4%). Beneficiaries without dementia needed more support for basic activities of daily living and nursing care than those with dementia, while beneficiaries with dementia were more likely to be institutionalized. Five (22.7%) unsuccessful claimants with dementia and 48 (23.3%) unsuccessful claimants without dementia were disabled in at least two basic self-care activities. Regarding Barthel Index, Rasch analysis showed threshold disordering in “mobility” and “climbing stairs”, and the narrow interval was observed between all the adjacent categories of the ten items (< 1.4 logits). Conclusions Stroke and dementia were two common reasons for needing long-term care in LTCI claimants. The Barthel Index is not suitable for assessing and dividing LTCI claimants, because of inappropriate items and narrow category responses. A comprehensive assessment and grading system is required, together with needs-led care services. The eligibility should be expanded gradually based on balance finance solutions.

scholarly journals FACTORS ASSOCIATED WITH MORTALITY AMONG LONG-TERM CARE RESIDENTS TRANSITIONING TO AND FROM EMERGENCY DEPARTMENTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S821-S821
Author(s):  
Kaitlyn C Tate ◽  
Colin Reid ◽  
Patrick McLane ◽  
Garnet E Cummings ◽  
Brian H Rowe ◽  
...  
Keyword(s):  
Decision Making ◽  
Emergency Departments ◽  
Structural Equation ◽  
Organizational Context ◽  
Long Term Care ◽  
Care Transitions ◽  
Equation Modeling ◽  
Term Care ◽  
Risk Of Death

Abstract Studies examining risk of death during acute care transitions have highlighted potential predictors of death during transition. However, they have not closely examined the relationships and directional effects of organizational context, care processes, resident demographics and health conditions on death during transition. By employing structural equation modeling, we aimed to 1) identify predictive factors for residents who died during transitions from long term care (LTC) to emergency departments (EDs) and back; 2) examine relationships between identified organizational, process and resident factors with resident death during these transitions; and 3) identify areas for further investigation and improvement in practice. We tracked every resident transfer from 38 participating LTC facilities to two included EDs in two Western Canadian provinces from July 2011 to July 2012. Overall, 524 residents were involved in 637 transfers of whom 63 residents (12%) died during the transition. Sustained dyspnea (in both LTC and the ED), sustained change in level of consciousness (LOC) and severity measured by triage score were direct and significant predictors of resident death during transition. The model fit the data, (x2 = 83.77, df = 64, p = 0.049) and explained 15% variance in resident death. Dyspnea and change in LOC in both LTC and ED needs to be recognized regardless of primary reason for transfer. More research is needed to determine the specific influences of LTC ownership models, family involvement in decision-making, LTC staff decision-making on resident death during transition, and interventions to prevent pre-death transfers.

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