scholarly journals Fall-Related Hospitalization and Facility Costs Among Residents of Institutions Providing Long-Term Care

2008 ◽  
Vol 48 (2) ◽  
pp. 213-222 ◽  
Author(s):  
Norman V. Carroll ◽  
Jeffrey C. Delafuente ◽  
Fred M. Cox ◽  
Siva Narayanan
Keyword(s):  
Propensity Scores ◽  
Long Term Care ◽  
Hospital Costs ◽  
Term Care ◽  
Data Set ◽  
Care Chain ◽  
Hospitalization Costs ◽  
The Difference ◽  
Post Period

Abstract Purpose:  The purpose of this study was to estimate hospital and long-term-care costs resulting from falls in long-term-care facilities (LTCFs). Design and Methods: The study used a retrospective, pre/post with comparison group design. We used matching, based on propensity scores, to control for baseline differences between fallers and non-fallers. We estimated residents' propensity to fall from demographics, comorbidities, and reimbursement in the pre-period. The matched sample included 1,130 fallers and 1,130 non-fallers who were residents of a large, multifacility long-term-care chain. Cost estimates were based on information in the Minimum Data Set and were defined as hospital and LTCF reimbursements. We estimated fall-related costs as the difference between changes in costs for fallers and non-fallers from the pre- to post-period. Results: Fallers were substantially more likely to suffer fractures and hospitalizations in the post-period than were non-fallers. Fall-related LTCF and hospital costs were $6,259 (95% confidence interval = $2,034–$10,484) per resident per year. About 60% of this amount was attributable to higher hospitalization costs. Fallers were more likely to be discharged to hospitals or to die. Implications: Falls in LTCFs are associated with costs of about $6,200 per resident per year. These results provide baseline estimates that one may use to estimate the cost-effectiveness of interventions to reduce fall rates.

scholarly journals Evidence for Publicly Reported Quality Indicators in Residential Long-Term Care: A Systematic Review

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 181-181
Author(s):  
Franziska Zúñiga ◽  
Magdalena Osinska ◽  
Franziska Zuniga
Keyword(s):  
New Zealand ◽  
Quality Indicators ◽  
Long Term Care ◽  
Grey Literature ◽  
Public Reporting ◽  
Assessment Instrument ◽  
Term Care ◽  
Data Set ◽  
Residential Long Term Care

Abstract Quality indicators (QIs) are used internationally to measure, compare and improve quality in residential long-term care. Public reporting of such indicators allows transparency and motivates local quality improvement initiatives. However, little is known about the quality of QIs. In a systematic literature review, we assessed which countries publicly report health-related QIs, whether stakeholders were involved in their development and the evidence concerning their validity and reliability. Most information was found in grey literature, with nine countries (USA, Canada, Australia, New Zealand and five countries in Europe) publicly reporting a total of 66 QIs in areas like mobility, falls, pressure ulcers, continence, pain, weight loss, and physical restraint. While USA, Canada and New Zealand work with QIs from the Resident Assessment Instrument – Minimal Data Set (RAI-MDS), the other countries developed their own QIs. All countries involved stakeholders in some phase of the QI development. However, we only found reports from Canada and Australia on both, the criteria judged (e.g. relevance, influenceability), and the results of structured stakeholder surveys. Interrater reliability was measured for some RAI QIs and for those used in Germany, showing overall good Kappa values (>0.6) except for QIs concerning mobility, falls and urinary tract infection. Validity measures were only found for RAI QIs and were mostly moderate. Although a number of QIs are publicly reported and used for comparison and policy decisions, available evidence is still limited. We need broader and accessible evidence for a responsible use of QIs in public reporting.

The Effects of the Opioid Epidemic on Prescribing Practices in Long-Term Care Residents

2019 ◽  
Vol 34 (4) ◽  
pp. 258-267
Author(s):  
Lisa Yamagishi ◽  
Olivia Erickson ◽  
Kelly Mazzei ◽  
Christine O'Neil ◽  
Khalid M. Kamal
Keyword(s):  
Severe Pain ◽  
Long Term Care ◽  
Care Facility ◽  
The United States ◽  
Self Report ◽  
Prescribing Practices ◽  
Term Care ◽  
Data Set ◽  
Opioid Prescribing

OBJECTIVE: Evaluate opioid prescribing practices for older adults since the opioid crisis in the United States.<br/> DESIGN: Interrupted time-series analysis on retrospective observational cohort study.<br/> SETTING: 176-bed skilled-nursing facility (SNF).<br/> PARTICIPANTS: Patients admitted to a long-term care facility with pain-related diagnoses between October 1, 2015, and March 31, 2017, were included. Residents discharged prior to 14 days were excluded. Of 392 residents, 258 met inclusion criteria with 313 admissions.<br/> MAIN OUTCOME MEASURE: Changes in opioid prescribing frequency between two periods: Q1 to Q3 (Spring 2016) and Q4 to Q6 for pre- and postgovernment countermeasure, respectively.<br/> RESULTS: Opioid prescriptions for patients with pain-related diagnoses decreased during period one at -0.10% per quarter (95% confidence interval [CI] -0.85-0.85; P = 0.99), with the rate of decline increasing at -3.8% per quarter from period 1 and 2 (95% CI -0.23-0.15; P = 0.64). Opioid prescribing from top International Classification of Diseases, Ninth Revision category, "Injury and Poisoning" decreased in prescribing frequency by -3.0% per quarter from Q1 to Q6 (95% CI -0.16-0.10; P = 0.54). Appropriateness of pain-control was obtained from the Minimum Data Set version 3.0 "Percent of Residents Who Self-Report Moderate to Severe Pain (Short Stay)" measure; these results showed a significant increase in inadequacy of pain relief by 0.28% per quarter (95% CI 0.12-0.44; P = 0.009).<br/> CONCLUSION: Residents who self-report moderate- to severe pain have significantly increased since October 2015. Opioid prescriptions may have decreased for elderly patients in SNFs since Spring 2016. Further investigation with a larger population and wider time frame is warranted to further evaluate significance.

scholarly journals THE EXTREME FACE OF SOCIAL ISOLATION: A COHORT STUDY OF UNBEFRIENDED INDIVIDUALS IN LONG-TERM CARE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S532-S533
Author(s):  
Stephanie Chamberlain ◽  
Wendy Duggleby ◽  
Pamela B Teaster ◽  
Janet Fast ◽  
Carole Estabrooks
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Health Outcomes ◽  
Social Isolation ◽  
Long Term Care ◽  
Poor Health ◽  
Term Care ◽  
Data Set ◽  
Family Contact

Abstract Even though social isolation is a significant predictor of poor health and mortality in older adults, very little is known about social isolation in long-term care (LTC) settings. The aim of this study was to describe the prevalence, demographic characteristics, health outcomes, and disease diagnoses of residents without family contact in Alberta LTC homes. Using data collected between April 2008 and March 2018, we conducted a retrospective cohort study using the Resident Assessment Instrument, Minimum Data Set, (RAI-MDS 2.0) data from 34 LTC facilities in Alberta. We identified individuals who had no contact with family or friends. Using descriptive statistics and binary logistic regression, we compared the characteristics, disease diagnoses, and functional status of individuals who had no contact with family and individuals who did have contact with family. We identified a cohort of 25,330 individuals, of whom 945 had no contact with family or friends. Different from residents who had family, the cohort with no contact was younger (81.47 years, SD=11.79), and had a longer length of stay (2.71 years, SD=3.63). For residents who had contact with family, residents with no contact had a greater number of mental health diagnoses, including depression (OR: 1.21, [95% CI: 1.06-1.39]), bipolar disorder (OR: 1.80, [95% CI: 1.22-2.68]), and schizophrenia (OR: 3.9, [95% CI: 2.96-5.14]). Interpretation: Residents without family contact had a number of unique care concerns, including mental health issues and poor health outcomes. These findings have implications for the training of staff and LTC services available to these vulnerable residents.

scholarly journals Long-term Care Facility Variation in the Incidence of Pneumonia and Influenza

2019 ◽  
Vol 6 (6) ◽  
Author(s):  
Elliott Bosco ◽  
Andrew R Zullo ◽  
Kevin W McConeghy ◽  
Patience Moyo ◽  
Robertus van Aalst ◽  
...  
Keyword(s):  
Nurse Practitioners ◽  
Long Term Care ◽  
Care Facility ◽  
Physician Assistants ◽  
Incidence Rates ◽  
Short Stay ◽  
Term Care ◽  
Data Set ◽  
Facility Level

Abstract Background Pneumonia and influenza (P&I) increase morbidity and mortality among older adults, especially those residing in long-term care facilities (LTCFs). Facility-level characteristics may affect the risk of P&I beyond resident-level risk factors. However, the relationship between facility characteristics and P&I is poorly understood. To address this, we identified potentially modifiable facility-level characteristics that influence the incidence of P&I across LTCFs. Methods We conducted a retrospective cohort study using 2013–2015 Medicare claims linked to Minimum Data Set and LTCF-level data. Short-stay (&lt;100 days) and long-stay (100+ days) LTCF residents were followed for the first occurrence of hospitalization, LTCF discharge, Medicare disenrollment, or death. We calculated LTCF risk-standardized incidence rates (RSIRs) per 100 person-years for P&I hospitalizations by adjusting for over 30 resident-level demographic and clinical covariates using hierarchical logistic regression. Results We included 1 767 241 short-stay (13 683 LTCFs) and 922 863 long-stay residents (14 495 LTCFs). LTCFs with lower RSIRs had more licensed independent practitioners (nurse practitioners or physician assistants) among short-stay (44.9% vs 41.6%, P &lt; .001) and long-stay residents (47.4% vs 37.9%, P &lt; .001), higher registered nurse hours/resident/day among short-stay and long-stay residents (mean [SD], 0.5 [0.7] vs 0.4 [0.4], P &lt; .001), and fewer residents for whom antipsychotics were prescribed among short-stay (21.4% [11.6%] vs 23.6% [13.2%], P &lt; .001) and long-stay residents (22.2% [14.3%] vs 25.5% [15.0%], P &lt; .001). Conclusions LTCF characteristics may play an important role in preventing P&I hospitalizations. Hiring more registered nurses and licensed independent practitioners, increasing staffing hours, and higher-quality care practices may be modifiable means of reducing P&I in LTCFs.

scholarly journals BETTER LIVING THROUGH TECH: TECHNOLOGY-MEDIATED RECREATION AND LONG-TERM CARE FACILITY RESIDENTS’ QUALITY OF LIFE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S442-S442
Author(s):  
Ethan A McMahan ◽  
Marion Godoy ◽  
Abiola Awosanya ◽  
Robert Winningham ◽  
Charles De Vilmorin ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Long Term Care ◽  
Care Facility ◽  
Term Care ◽  
Data Set ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
Care Facilities

Abstract Empirical research on long-term care facility resident engagement has consistently indicated that increased engagement is associated with more positive clinical outcomes and increased quality of life. The current study adds to this existing literature by documenting the positive effects of technologically-mediated recreational programing on quality of life and medication usage in aged residents living in long-term care facilities. Technologically-mediated recreational programming was defined as recreational programming that was developed, implemented, and /or monitored using software platforms dedicated specifically for these types of activities. This study utilized a longitudinal design and was part of a larger project examining quality of life in older adults. A sample of 272 residents from three long-term care facilities in Toronto, Ontario participated in this project. Resident quality of life was assessed at multiple time points across a span of approximately 12 months, and resident engagement in recreational programming was monitored continuously during this twelve-month period. Quality of life was measured using the Resident Assessment Instrument Minimum Data Set Version 2.0. Number of pharmacological medication prescriptions received during the twelve-month study period was also assessed. Descriptive analyses indicated that, in general, resident functioning tended to decrease over time. However, when controlling for age, gender, and baseline measures of resident functioning, engagement in technologically-mediated recreational programming was positively associated with several indicators of quality of life. The current findings thus indicate that engagement in technology-mediated recreational programming is associated with increased quality of life of residents in long-term care facilities.

scholarly journals Depressive symptoms in long term care facilities in Western Canada: a cross sectional study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Matthias Hoben ◽  
Abigail Heninger ◽  
Jayna Holroyd-Leduc ◽  
Jennifer Knopp-Sihota ◽  
Carole Estabrooks ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Depressive Symptoms ◽  
Long Term Care ◽  
Assessment Instrument ◽  
Western Canada ◽  
Cross Sectional ◽  
Term Care ◽  
Data Set ◽  
For Profit

Abstract Background The main objective is to better understand the prevalence of depressive symptoms, in long-term care (LTC) residents with or without cognitive impairment across Western Canada. Secondary objectives are to examine comorbidities and other factors associated with of depressive symptoms, and treatments used in LTC. Methods 11,445 residents across a random sample of 91 LTC facilities, from 09/2014 to 05/2015, were stratified by owner-operator model (private for-profit, public or voluntary not-for-profit), size (small: < 80 beds, medium: 80–120 beds, large > 120 beds), location (Calgary and Edmonton Health Zones, Alberta; Fraser and Interior Health Regions, British Columbia; Winnipeg Health Region, Manitoba). Random intercept generalized linear mixed models with depressive symptoms as the dependent variable, cognitive impairment as primary independent variable, and resident, care unit and facility characteristics as covariates were used. Resident variables came from the Resident Assessment Instrument – Minimum Data Set (RAI-MDS) 2.0 records (the RAI-MDS version routinely collected in Western Canadian LTC). Care unit and facility variables came from surveys completed with care unit or facility managers. Results Depressive symptoms affects 27.1% of all LTC residents and 23.3% of LTC resident have both, depressive symptoms and cognitive impairment. Hypertension, urinary and fecal incontinence were the most common comorbidities. Cognitive impairment increases the risk for depressive symptoms (adjusted odds ratio 1.65 [95% confidence interval 1.43; 1.90]). Pain, anxiety and pulmonary disorders were also significantly associated with depressive symptoms. Pharmacologic therapies were commonly used in those with depressive symptoms, however there was minimal use of non-pharmacologic management. Conclusions Depressive symptoms are common in LTC residents –particularly in those with cognitive impairment. Depressive symptoms are an important target for clinical intervention and further research to reduce the burden of these illnesses.

Characteristics of Long-Term–Care Facility Residents Associated With Receipt of Influenza and Pneumococcal Vaccinations

2004 ◽  
Vol 25 (11) ◽  
pp. 946-954 ◽  
Author(s):  
Barbara Bardenheier ◽  
Abigail Shefer ◽  
Linda McKibben ◽  
Henry Roberts ◽  
Dale Bratzler
Keyword(s):  
Multilevel Analysis ◽  
Vaccination Coverage ◽  
Long Term Care ◽  
Pneumococcal Vaccination ◽  
Vaccination Status ◽  
Term Care ◽  
Data Set ◽  
Level Data ◽  
Facility Level

AbstractBackground:Studies have found residency in long-term–care facilities (LTCFs) a risk factor for influenza and pneumonia and have demonstrated that vaccinations against these diseases reduce the risk of disease. However, rates are below Healthy People 2010 goals of 90% for LTCFs. During 1999–2002, a multi-state demonstration project was conducted in LTCFs to implement standing orders programs for immunizations.Objective:Identify nursing home resident–specific characteristics associated with vaccination coverage at baseline.Methods:Facility-level data were collected from self-reported surveys of selected nursing homes in 14 states and from the On-line Survey and Certification Reporting System. Resident-level data, including demographics and physical functioning, were obtained from the Centers for Medicare & Medicaid Services' Minimum Data Set; 2000–2001 vaccination status was obtained by chart review. Influenza vaccination status reflected a single season, whereas pneumococcal vaccination status reflected vaccination in the past. Multilevel analysis was used to control for facility-level variation.Results:Of 22,188 residents sampled in 249 LTCFs, complete data were obtained for 20,516 (92%). The average coverage for immunizations was 58.5% ± 0.7% for influenza and 34.6% ± 0.3% for pneumococcal. On bivariate analyses, residents with cognitive, psychiatric, or neurologic problems were more likely to be vaccinated; those with accidental injuries, unstable conditions, or cancer were less likely to receive either vaccine. On multilevel analysis, the strongest resident characteristics associated with receipt of immunizations, controlling facility variation, were cognitive deficits and psychiatric illness.Conclusion:The variation in baseline vaccination coverage associated with LTCF resident characteristics supports the need for strategies to increase vaccination coverage in LTCFs.

scholarly journals Ethnicity at work: the case of British minority workers in the long-term care sector

2014 ◽  
Vol 33 (2) ◽  
pp. 177-192 ◽  
Author(s):  
Shereen Hussein ◽  
Jill Manthorpe ◽  
Mohamed Ismail
Keyword(s):  
Migrant Workers ◽  
Long Term Care ◽  
Social Care ◽  
Local Area ◽  
Care Work ◽  
European Economic Area ◽  
Term Care ◽  
Data Set ◽  
Content Type

Purpose – The aim of this paper is to explore the effect of ethnicity and separate this from the other dynamics associated with migration among members of the long-term care workforce in England focusing on the nature and structure of their jobs. The analysis examines interactions between ethnicity, gender, and age, and their relations with “meso” factors related to job and organizational characteristics and “macro” level factors related to local area characteristics. Design/methodology/approach – The paper analyses new national workforce data, the National Minimum Data Set for Social Care (NMDS-SC), n=357,869. The paper employs descriptive statistical analysis and a set of logistic regression models. Findings – The results indicate that labour participation of British black and minority ethnic (BME) groups in long-term care work is much lower than previously believed. There are variations in nature of work and possibly job security by ethnicity. Research limitations/implications – While the national sample is large, the data were not purposively collected to examine differentials in reasons to work in the care sector by different ethnicity. Practical implications – The analysis highlights the potential to actively promote social care work among British BME groups to meet workforce shortages, especially at a time where immigration policies are restricting the recruitment of non-European Economic Area nationals. Originality/value – The analysis provides a unique insight into the participation of British BME workers in the long-term care sector, separate from that of migrant workers.

scholarly journals DNR Linked to Reduced Depressive Symptoms in Nursing Home Residents During COVID-19 Illness

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 720-721
Author(s):  
Wingyun Mak ◽  
Orah Burack ◽  
Joann Reinhardt ◽  
Himali Weerahandi ◽  
Benjamin Canter ◽  
...  
Keyword(s):  
Nursing Home ◽  
Depressive Symptoms ◽  
Functional Status ◽  
Long Term Care ◽  
Nursing Home Residents ◽  
Do Not Resuscitate ◽  
Term Care ◽  
Data Set ◽  
Care Plans

Abstract Prior work shows that older adults who establish future care plans have a lower risk of depression. Residents in long-term care may benefit from establishing a do-not-resuscitate (DNR) order when cardiopulmonary resuscitation is unlikely to provide medical benefit. The current study examines whether having a DNR order in place prior to COVID-19 diagnosis was associated with fewer depressive symptoms during the illness course. Residents at a NYC skilled nursing facility with a positive COVID-19 PCR test between 3/1/2020 – 6/1/2020 were included (N=338). The Minimum Data Set (3.0) was used to examine residents’ Patient Health Questionnaire-9 (PHQ-9) scores 1-30 days after diagnosis, functional status, cognition, age, and sex. A retrospective chart review was conducted to determine whether participants had an established DNR, DNI, and/or DNH order before developing COVID-19. Forty-eight percent, 46%, and 12% of participants had a DNR, DNI, or DNH order prior to COVID-19 illness, respectively. Average PHQ-9 score was 1.65 (SD=2.37). A hierarchical regression showed that after controlling for age (β=-.13, p=.06), sex (β=-.08, p=.28), cognition (β=.14, p=.04), and functional status (β=.23, p=.001; R2=.10, p=.001), having a DNR (β=-.22, p=.006) order in place prior to COVID illness was associated with lower endorsement of depressive symptoms during illness (ΔR2=.04, p=.01). Results suggest that establishing a DNR in long-term care residents when appropriate may potentially buffer depressive symptoms during illness in nursing home residents regardless of their age, sex, cognitive abilities, and functional status. Future examination of the underlying mechanism is warranted.

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