Impairment and Abuse of Elderly by Staff in Long-Term Care in Michigan: Evidence From Structural Equation Modeling

2010 ◽  
Vol 26 (1) ◽  
pp. 21-33 ◽  
Author(s):  
Tom Conner ◽  
Artem Prokhorov ◽  
Connie Page ◽  
Yu Fang ◽  
Yimin Xiao ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Long Term Care ◽  
Equation Modeling ◽  
Term Care

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.

scholarly journals Long-Term Care Nurses’ Intent to Stay, Job Characteristics, and Organizational Justice : A Structural Equation Model

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 85-85
Author(s):  
Lin Wang ◽  
Miao Miao ◽  
Xiaoping Yu
Keyword(s):  
Organizational Justice ◽  
Structural Equation ◽  
Long Term Care ◽  
Intent To Stay ◽  
Job Characteristics ◽  
Equation Modeling ◽  
Intention To Stay ◽  
Term Care ◽  
Convenience Sample

Abstract Background：Gratifying the elderly health-care demands and promoting high-quality of nursing services are based on the effort of long-term care(LTC) nurses. However, the high turnover rate of LTC nurses has become very serious in China. What remains unclear is whether the organizational justice and job characteristics affect the LTC nurses’ intention to stay. Objective: The aim was to investigate intention to stay among LTC nurses in relation to organizational justice and job characteristics. Method: A cross-sectional study was conducted with a convenience sample of 545 LTC nurses. Data collection was performed between July and November 2019. Data were analyzed using structural equation modeling. Results: Most of LTC nurses reported to stay in nursing or current work place, however they still had strong desire to leave if there were other job opportunities. Organizational justice and job characteristics were significant predictors of LTC nurses intent to stay. LTC nurses job characteristics partially mediates the relationship between organizational justice and intent to stay. Conclusion: This would suggest the importance of administrators/ managers understanding how to promote organizational justice, foster a justice climate and increase LTC nurses’ perceived job characteristics. The organizational justice culture programs should be develop as LTC nurses retention strategy.

scholarly journals Who Doesn’t Come Home? Factors Influencing Mortality Among Long-Term Care Residents Transitioning to and From Emergency Departments in Two Canadian Cities

2020 ◽  
pp. 073346482096263
Author(s):  
Kaitlyn Tate ◽  
R. Colin Reid ◽  
Patrick McLane ◽  
Garnet E. Cummings ◽  
Brian H. Rowe ◽  
...  
Keyword(s):  
Structural Equation ◽  
Long Term Care ◽  
Equation Modeling ◽  
Future Research ◽  
Term Care ◽  
Palliative Care Consultation ◽  
Level Of Consciousness ◽  
Standardized Reporting ◽  
Using Data

Residents of long-term care (LTC) whose deaths are imminent are likely to trigger a transfer to the emergency department (ED), which may not be appropriate. Using data from an observational study, we employed structural equation modeling to examine relationships among organizational and resident variables and death during transitions between LTC and ED. We identified 524 residents involved in 637 transfers from 38 LTC facilities and 2 EDs. Our model fit the data, (χ2 = 72.91, df = 56, p = .064), explaining 15% variance in resident death. Sustained shortness of breath (SOB), persistent decreased level of consciousness (LOC) and high triage acuity at ED presentation were direct and significant predictors of death. The estimated model can be used as a framework for future research. Standardized reporting of SOB and changes in LOC, scoring of resident acuity in LTC and timely palliative care consultation for families in the ED, when they are present, warrant further investigation.

scholarly journals THE STRUCTURE OF CARE MANAGERS’ PRACTICE RESPECTING THE AUTONOMY OF THE FRAIL ELDERLY IN JAPAN

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S504-S504
Author(s):  
Chiemi Hata ◽  
Sachiko Kasahara
Keyword(s):  
Frail Elderly ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Long Term Care ◽  
Self Esteem ◽  
Equation Modeling ◽  
Term Care ◽  
Self Reflection ◽  
Care Managers

Abstract The objectives of current study are to clarify the structure of practice respecting the autonomy of the frail elderly under the Long-Term Care Insurance system in Japan and to discuss the related factors to the practice. The mailed self-administered questionnaire survey was conducted on 1398 care managers who working in In-Home Long-Term Care Support Providers in A City in Osaka with the condition that “office with multiple care managers engaged and one care manager with more than 5 years’ experience”. The response rate was 51.0% (713persons) and no missing data 615 (44.0%) was analyzed. Analysis was carried out using Mplus.ver8. The structure of practice respecting the autonomy of the frail elderly and the rerated factors were examined as a causal model using structural equation modeling. As the result, it was confirmed the goodness of fit to the data (RMSEA=0.049, CFI=0.927). By the confirmatory factor analysis, the care manager’s practice respecting the autonomy of the elderly was confirmed associating with three-factors structure; (1)data collection and assessment, (2) strength perspective and (3) professional relationship. Furthermore the practice was significantly affected by self-esteem of care-managers performance (β=0.494) and self-reflection to own work (β=0.269). In conclusion, the current study supported the hypothetical consideration in which self-esteem and self-reflection in care manager’s practice significantly affected the practice respecting the autonomy of the frail elderly.

scholarly journals Drivers of Old-Age Dependence and Long-Term Care Usage in Switzerland—A Structural Equation Model Approach

Risks ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 92 ◽  
Author(s):  
Iegor Rudnytskyi ◽  
Joël Wagner
Keyword(s):  
Informal Care ◽  
Structural Equation ◽  
Long Term Care ◽  
Functional Limitations ◽  
Elderly Person ◽  
Individual Characteristics ◽  
Equation Modeling ◽  
Term Care ◽  
Swiss Health

Long-term care (LTC) encompasses a set of services provided to impaired and dependent elderly people. To assess the level of the dependence several scales are used, including activities of daily living (ADL), instrumental ADL (IADL) and functional limitations. Once an elderly person fails to perform these activities independently, he or she requires special assistance. Help can be provided as informal care by relatives and as formal care by professionals. The aim of this research is to study individual characteristics that relate to the demand of LTC and to analyze the relation between formal and informal care. We base our study on data from the Swiss Health Survey focusing on respondents aged over 65 years. Using the structural equation modeling technique, we develop a statistical model that considers the dependence concept as a latent variable. This hidden dependence variable combines three indices linked to the limitations in ADL, in IADL and functional limitations. Accounting for causality links between covariates enables us to include the indirect effect of pathologies on the receipt of LTC mediated via dependence. In our model, we do not assume a causal relationship between formal and informal care. From our results, we observe a significant impact of pathologies as well as of the socio-demographic factors on the demand for LTC. The relationship between formal and informal care is found to be of both a complementary and substitutional nature.

scholarly journals Proposing a model for absorption capacity of technology

2015 ◽  
Vol 4 (1) ◽  
pp. 113 ◽  
Author(s):  
Hossein Gholizadeh ◽  
Ali Bonyadi Naeini ◽  
Alireza Moini
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Developed Countries ◽  
Absorption Capacity ◽  
Equation Modeling ◽  
Technological Gap ◽  
Expert Opinions ◽  
Modeling Analysis ◽  
Effective Dimensions

Absorption capacity of knowledge is the concept which is been introduced in this situation. This phenomenon describes why some countries are in a better condition with a view to technology. Many countries believe that the power to stay in the battle and excel other competitors directly depends on their abilities in taking knowledge. Many countries have used their technological gap with developed countries as an accelerator for improving their absorption capacity. In this study, authors tried to produce a complete definition for absorption capacity through analyzing different research. Then with using expert opinions, a categorization for dimensions of absorption capacity will be prepared by using the structural equation modeling analysis, and finally a model for measuring absorption capacity is suggested. The results show effective dimensions in 5 different section. Studies depict that the most important one is keeping which could be a fundamental for long-term policies of 1404.

scholarly journals Early Predictors of Long-Term Disability After Injury

2003 ◽  
Vol 12 (3) ◽  
pp. 197-205 ◽  
Author(s):  
Therese S. Richmond ◽  
Donald Kauder ◽  
Janice Hinkle ◽  
Justine Shults
Keyword(s):  
At Risk ◽  
Structural Equation Modeling ◽  
Psychological Distress ◽  
Structural Equation ◽  
Equation Modeling ◽  
Specific Information ◽  
Care Providers ◽  
Early Predictors ◽  
Patients At Risk

• Background Improving outcomes after serious injury is important to patients, patients’ families, and healthcare providers. Identifying early risk factors for long-term disability after injury will help critical care providers recognize patients at risk. • Objectives To identify early predictors of long-term disability after injury and to ascertain if age, level of disability before injury, posttraumatic psychological distress, and social network factors during hospitalization and recovery significantly contribute to long-term disability after injury. • Methods A prospective, correlational design was used. Injury-specific information on 63 patients with serious, non–central nervous system injury was obtained from medical records; all other data were obtained from interviews (3 per patient) during a 2½-year period. A model was developed to test the theoretical propositions of the disabling process. Predictors of long-term disability were evaluated using path analysis in the context of structural equation modeling. • Results Injuries were predominately due to motor vehicle crashes (37%) or violent assaults (21%). Mean Injury Severity Score was 13.46, and mean length of stay was 12 days. With structural equation modeling, 36% of the variance in long-term disability was explained by predictors present at the time of injury (age, disability before injury), during hospitalization (psychological distress), or soon after discharge (psychological distress, short-term disability after injury). • Conclusions Disability after injury is due partly to an interplay between physical and psychological factors that can be identified soon after injury. By identifying these early predictors, patients at risk for suboptimal outcomes can be detected.

Sign in / Sign up

Export Citation Format

Share Document