scholarly journals Nurses Working in Nursing Homes: A Mediation Model for Work Engagement Based on Job Demands-Resources Theory

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 316
Author(s):  
Yukari Hara ◽  
Kyoko Asakura ◽  
Shoko Sugiyama ◽  
Nozomu Takada ◽  
Yoshimi Ito ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Work Engagement ◽  
Clinical Judgment ◽  
Long Term Care ◽  
Job Demands ◽  
Occupational Commitment ◽  
Equation Modeling ◽  
Term Care ◽  
The Impact

This study examined the impact that the attractiveness of working in nursing homes and autonomous clinical judgment have on affective occupational commitment, and whether work engagement mediates these relationships. This analysis was based on the job demands-resources theory. The study setting was 1200 nursing homes (including long-term care welfare facilities and long-term care health facilities) in eastern Japan. An anonymous, self-report questionnaire survey was administered to two nurses from each facility, resulting in a prospective sample of 2400 participants. Overall, 552 questionnaires were analyzed, in which structural equation modeling and mediation analysis using the bootstrap method were performed. The results showed that the attractiveness of working in nursing homes does not directly affect affective occupational commitment; work engagement fully mediates the impact of attractiveness of working in nursing homes on affective occupational commitment. Additionally, autonomous clinical judgment showed a direct impact on both work engagement and affective occupational commitment, indicating that work engagement partially mediates the impact on affective occupational commitment. To increase the affective occupational commitment of nurses working in nursing homes, managers should help nurses recognize the attractiveness of working in nursing homes, and then provide appropriate support to help such nurses work in a motivated manner.

scholarly journals Real-Time Digital Contact Tracing: Development of a System to Control COVID-19 Outbreaks in Nursing Homes and Long-Term Care Facilities

10.2196/20828 ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e20828 ◽  
Author(s):  
Gerald Wilmink ◽  
Ilyssa Summer ◽  
David Marsyla ◽  
Subhashree Sukhu ◽  
Jeffrey Grote ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Compartmental Model ◽  
Long Term Care ◽  
Contact Tracing ◽  
Term Care ◽  
Viral Spread ◽  
Effective Manner ◽  
Conventional Methods ◽  
The Impact

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can spread rapidly in nursing homes and long-term care (LTC) facilities. Symptoms-based screening and manual contact tracing have limitations that render them ineffective for containing the viral spread in LTC facilities. Symptoms-based screening alone cannot identify asymptomatic people who are infected, and the viral spread is too fast in confined living quarters to be contained by slow manual contact tracing processes. Objective We describe the development of a digital contact tracing system that LTC facilities can use to rapidly identify and contain asymptomatic and symptomatic SARS-CoV-2 infected contacts. A compartmental model was also developed to simulate disease transmission dynamics and to assess system performance versus conventional methods. Methods We developed a compartmental model parameterized specifically to assess the coronavirus disease (COVID-19) transmission in LTC facilities. The model was used to quantify the impact of asymptomatic transmission and to assess the performance of several intervention groups to control outbreaks: no intervention, symptom mapping, polymerase chain reaction testing, and manual and digital contact tracing. Results Our digital contact tracing system allows users to rapidly identify and then isolate close contacts, store and track infection data in a respiratory line listing tool, and identify contaminated rooms. Our simulation results indicate that the speed and efficiency of digital contact tracing contributed to superior control performance, yielding up to 52% fewer cases than conventional methods. Conclusions Digital contact tracing systems show promise as an effective tool to control COVID-19 outbreaks in LTC facilities. As facilities prepare to relax restrictions and reopen to outside visitors, such tools will allow them to do so in a surgical, cost-effective manner that controls outbreaks while safely giving residents back the life they once had before this pandemic hit.

scholarly journals INTEREST GROUP SESSION—RESEARCH IN QUALITY OF CARE: LIVING IN AND LEAVING NURSING HOMES: THE FACTORS THAT CONTRIBUTE TO QUALITY OF LIFE, HEALTH, AND SAFETY OUTCOMES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S359-S359
Author(s):  
Nancy Kusmaul ◽  
Mercedes Bern-Klug
Keyword(s):  
Quality Of Life ◽  
Nursing Home ◽  
Nursing Homes ◽  
Long Term Care ◽  
Community Dwelling ◽  
Care Staff ◽  
Term Care ◽  
The Impact

Abstract Nursing homes house some of the most vulnerable older adults. They often have complex medical conditions and/or cognitive impairments that put them at risk for negative outcomes and poor quality of life. These outcomes can be altered through incorporating evidence-based practices aimed to improve care and residents’ life experiences. In this symposium we will explore factors that are shown to influence outcomes and quality of life for people that live in and are discharged from, long term care settings. Amy Roberts and colleagues will explore the influences of nursing home social service staff qualifications on residents’ discharge outcomes. Colleen Galambos and colleagues will present findings on advance directives and their impact on reducing potentially avoidable hospitalizations. Kelsey Simons and colleagues will discuss the potential for unmet needs for mental health services as part of nursing home care transitions, and will discuss a model of quality improvement that addresses this gap in care. Vivian Miller will present findings on the impact transportation access has on the ability of community-dwelling family members to visit and provide social support to their family member residents in long-term care. Finally, Nancy Kusmaul and Gretchen Tucker report the findings of their study comparing perceptions of nursing home residents, direct care staff, management, and families on the care practices that influence resident health and quality of life while they live in a long term care setting.

Accuracy of influenza vaccination rate estimates in United States nursing home residents

2014 ◽  
Vol 143 (12) ◽  
pp. 2588-2595 ◽  
Author(s):  
J. M. GROSHOLZ ◽  
S. BLAKE ◽  
J. D. DAUGHERTY ◽  
E. AYERS ◽  
S. B. OMER ◽  
...  
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Influenza Vaccination ◽  
Long Term Care ◽  
Nursing Home Residents ◽  
Term Care ◽  
Vaccination Rates ◽  
Vaccination Recommendations ◽  
The Impact

SUMMARYThe US Center for Medicare and Medicaid Services (CMS) requires nursing homes and long-term-care facilities to document residents' vaccination status on the Resident Assessment Instrument (RAI). Vaccinating residents can prevent costly hospital admissions and deaths. CMS and public health officials use RAI data to measure vaccination rates in long-term-care residents and assess the quality of care in nursing homes. We assessed the accuracy of RAI data against medical records in 39 nursing homes in Florida, Georgia, and Wisconsin. We randomly sampled residents in each home during the 2010–2011 and 2011–2012 influenza seasons. We collected data on receipt of influenza vaccination from charts and RAI data. Our final sample included 840 medical charts with matched RAI records. The agreement rate was 0·86. Using the chart as a gold standard, the sensitivity of the RAI with respect to influenza vaccination was 85% and the specificity was 77%. Agreement rates varied within facilities from 55% to 100%. Monitoring vaccination rates in the population is important for gauging the impact of programmes and policies to promote adherence to vaccination recommendations. Use of data from RAIs is a reasonable approach for gauging influenza vaccination rates in nursing-home residents.

scholarly journals Real-Time Digital Contact Tracing: Development of a System to Control COVID-19 Outbreaks in Nursing Homes and Long-Term Care Facilities (Preprint)

2020 ◽  
Author(s):  
Gerald Wilmink ◽  
Ilyssa Summer ◽  
David Marsyla ◽  
Subhashree Sukhu ◽  
Jeffrey Grote ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Compartmental Model ◽  
Long Term Care ◽  
Contact Tracing ◽  
Term Care ◽  
Viral Spread ◽  
Effective Manner ◽  
Conventional Methods ◽  
The Impact

BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can spread rapidly in nursing homes and long-term care (LTC) facilities. Symptoms-based screening and manual contact tracing have limitations that render them ineffective for containing the viral spread in LTC facilities. Symptoms-based screening alone cannot identify asymptomatic people who are infected, and the viral spread is too fast in confined living quarters to be contained by slow manual contact tracing processes. OBJECTIVE We describe the development of a digital contact tracing system that LTC facilities can use to rapidly identify and contain asymptomatic and symptomatic SARS-CoV-2 infected contacts. A compartmental model was also developed to simulate disease transmission dynamics and to assess system performance versus conventional methods. METHODS We developed a compartmental model parameterized specifically to assess the coronavirus disease (COVID-19) transmission in LTC facilities. The model was used to quantify the impact of asymptomatic transmission and to assess the performance of several intervention groups to control outbreaks: no intervention, symptom mapping, polymerase chain reaction testing, and manual and digital contact tracing. RESULTS Our digital contact tracing system allows users to rapidly identify and then isolate close contacts, store and track infection data in a respiratory line listing tool, and identify contaminated rooms. Our simulation results indicate that the speed and efficiency of digital contact tracing contributed to superior control performance, yielding up to 52% fewer cases than conventional methods. CONCLUSIONS Digital contact tracing systems show promise as an effective tool to control COVID-19 outbreaks in LTC facilities. As facilities prepare to relax restrictions and reopen to outside visitors, such tools will allow them to do so in a surgical, cost-effective manner that controls outbreaks while safely giving residents back the life they once had before this pandemic hit.

scholarly journals The Impact of COVID-19 Pandemic on Long-Term Care Facilities Worldwide: An Overview on International Issues

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Dana-Claudia Thompson ◽  
Madalina-Gabriela Barbu ◽  
Cristina Beiu ◽  
Liliana Gabriela Popa ◽  
Mara Madalina Mihai ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Long Term Care ◽  
Negative Impact ◽  
Nursing Home Residents ◽  
The United States ◽  
Term Care ◽  
Care Facilities ◽  
National Databases ◽  
The Impact

The COVID-19 pandemic had a great negative impact on nursing homes, with massive outbreaks being reported in care facilities all over the world, affecting not only the residents but also the care workers and visitors. Due to their advanced age and numerous underlying diseases, the inhabitants of long-term care facilities represent a vulnerable population that should benefit from additional protective measures against contamination. Recently, multiple countries such as France, Spain, Belgium, Canada, and the United States of America reported that an important fraction from the total number of deaths due to the SARS-CoV-2 infection emerged from nursing homes. The scope of this paper was to present the latest data regarding the COVID-19 spread in care homes worldwide, identifying causes and possible solutions that would limit the outbreaks in this overlooked category of population. It is the authors’ hope that raising awareness on this matter would encourage more studies to be conducted, considering the fact that there is little information available on the impact of the SARS-CoV-2 pandemic on nursing homes. Establishing national databases that would register all nursing home residents and their health status would be of great help in the future not only for managing the ongoing pandemic but also for assessing the level of care that is needed in this particularly fragile setting.

scholarly journals Factors Influencing Resident Responsive Behaviors Toward Staff in Nursing Homes: A Systematic Review

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 373-374
Author(s):  
Lori Weeks ◽  
Abubakar Mohamed Nassur ◽  
Fajr Haq ◽  
Viraji Rupasinghe ◽  
Carole Estabrooks ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Long Term Care ◽  
Grey Literature ◽  
Term Care ◽  
Factors Associated ◽  
Coding Scheme ◽  
Qualitative Evidence ◽  
The Impact

Abstract When staff experience various types of resident responsive behaviors, this can lead to decreased quality of work-life and lower quality of care. We synthesized empirical quantitative and qualitative evidence on factors associated with resident responsive behaviors directed towards staff in nursing homes. We searched 12 bibliographic databases and "grey" literature with two key words: long-term care and responsive behaviors resulting in 7671 sources. Pairs of reviewers independently completed screening, data extraction, and risk of bias assessment. Based on extracted data, we developed a coding scheme of factors utilizing the ecological model as an organizational structure. We then applied the coding scheme to quantitative and qualitative articles and prepared narrative summaries for each factor. From 86 included studies (57 quantitative, 28 qualitative, 1 mixed methods), multiple factors emerged, such as staff training about responsive behaviors (individual level); staff approaches to care (interpersonal level); leadership, staffing resources, and physical environment (institutional level); and racism and patriarchy (societal level). Quantitative and qualitative results each provided key insights, such as qualitative results pertaining to leadership responses to reports of responsive behaviors, and quantitative findings on the impact of staff approaches to care on responsive behaviors. By synthesizing both quantitative and qualitative evidence, this review provides a comprehensive overview of factors associated with resident responsive behaviors towards staff. Our findings offer insights into promising factors for long-term care system and nursing home managers to address to strive to reduce responsive behaviors of residents toward staff in nursing homes.

scholarly journals A rapid systematic review of measures to protect older people in long term care facilities from COVID-19

2020 ◽  
Author(s):  
Kate Frazer ◽  
Lachlan Mitchell ◽  
Diarmuid Stokes ◽  
Ella Lacey ◽  
Eibhlin Crowley ◽  
...  
Keyword(s):  
Systematic Review ◽  
Nursing Homes ◽  
Older People ◽  
Long Term Care ◽  
Morbidity And Mortality ◽  
Term Care ◽  
Symptom Screening ◽  
Care Facilities ◽  
The Impact

AbstractThe global COVID-19 pandemic produced large-scale health and economic complications. Older people and those with comorbidities are particularly vulnerable to this virus, with nursing homes and long term care facilities experiencing significant morbidity and mortality associated with COVID-19 outbreaks. The aim of this rapid systematic review was to investigate measures implemented in long term care facilities to reduce transmission of COVID-19 and their effect on morbidity and mortality of residents, staff, and visitors. Databases (including MedRXiv pre-published repository) were systematically searched to identify studies reporting assessment of interventions to reduce transmission of COVID-19 in nursing homes among residents, staff, or visitors. Outcome measures include facility characteristics, morbidity data, case fatalities, and transmission rates. Due to study quality and heterogeneity, no meta-analysis was conducted. The search yielded 1414 articles, with 38 studies included. Reported interventions include mass testing, use of personal protective equipment, symptom screening, visitor restrictions, hand hygiene and droplet/contact precautions, and resident cohorting. Prevalence rates ranged from 1.2-85.4% in residents and 0.6-62.6% in staff. Mortality rates ranged from 5.3-55.3% in residents. Novel evidence in this review details the impact of facility size, availability of staff and practices of operating between multiple facilities, and for-profit status of facilities as factors contributing to the size and number of COVID-19 outbreaks. No causative relationships can be determined; however, this review provides evidence of interventions that reduce transmission of COVID-19 in long term care facilities.

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