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 (<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 < .001) and long-stay residents (47.4% vs 37.9%, P < .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 < .001), and fewer residents for whom antipsychotics were prescribed among short-stay (21.4% [11.6%] vs 23.6% [13.2%], P < .001) and long-stay residents (22.2% [14.3%] vs 25.5% [15.0%], P < .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 LONG-TERM CARE FACILITY VARIATION IN THE INCIDENCE OF PNEUMONIA AND INFLUENZA HOSPITALIZATIONS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S821-S822
Author(s):  
Elliott Bosco ◽  
Andrew Zullo ◽  
Kevin McConeghy ◽  
Patience Moyo ◽  
Robertus van Aalst ◽  
...  
Keyword(s):  
Nurse Practitioners ◽  
Long Term Care ◽  
Care Facility ◽  
Incidence Rates ◽  
Short Stay ◽  
Term Care ◽  
Data Set ◽  
Facility Level ◽  
Physician Extenders

Abstract 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 P&I risk beyond resident-level determinants. However, the relationship between facility characteristics and P&I is poorly understood. We therefore identified potentially modifiable facility-level characteristics that might influence the incidence of P&I across LTCFs. We conducted a retrospective cohort study using 100% of 2013-2015 Medicare claims linked to Minimum Data Set 3.0 and LTCF-level data. Short-stay (<100 days) and long-stay (≥100 days) LTCF residents aged ≥65 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. The final study cohorts included 1,767,241 short-stay (13,683 LTCFs) and 922,863 long-stay residents (14,495 LTCFs). LTCFs with lower RSIRs had more Physician Extenders (Nurse Practitioners or Physician’s Assistants) among short-stay (44.9% vs. 41.6%, p<0.001) and long-stay residents (47.4% vs. 37.9%, p<0.001), 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<0.001), and fewer residents prescribed antipsychotics among short-stay (21.4% (11.6) vs. 23.6% (13.2), p<0.001) and long-stay residents (22.2% (14.3) vs. 25.5% (15.0), p<0.001). LTCF characteristics may play an important role in preventing P&I hospitalizations. Hiring more Registered Nurses and Physician Extenders, increasing staffing hours, and reducing antipsychotic use may be modifiable means of reducing P&I in LTCFs. Funding provided by Sanofi Pasteur.

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 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.

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 Evaluation of Electronic Health Record and Long-Term Care Pharmacy Data for Tracking and Reporting Antibiotic Use in the United States

2021 ◽  
Vol 1 (S1) ◽  
pp. s13-s14
Author(s):  
Matthew Hudson ◽  
Katryna Gouin ◽  
Stanley Wang ◽  
Manjiri Kulkarni ◽  
Mary Beckerson ◽  
...  
Keyword(s):  
Nursing Home ◽  
Antibiotic Use ◽  
Data Sources ◽  
Short Stay ◽  
Term Care ◽  
Data Set ◽  
Pharmacy Data ◽  
Facility Level ◽  
Nursing Home Stay

Background: Antibiotics are frequently prescribed in nursing homes, often inappropriately. Data sources are needed to facilitate measurement and reporting of antibiotic use to inform antibiotic stewardship efforts. Previous analyses have shown that the type of nursing-home stay, that is, short stay (<100 days), is a strong predictor of high antibiotic use compared to longer nursing-home stays. The study objective was to compare 2 different data sources, electronic health record (EHR) and long-term care (LTC) pharmacy data, for surveillance of antibiotic use and type of nursing-home stay. Methods: EHR and pharmacy data during 2017 were included from 1,933 and 1,348 US-based nursing homes, respectively. We compared data elements available in each data source for antibiotic use reporting. In each data set, we attempted to describe antibiotic use as the proportion of residents on an antibiotic, days-of-therapy (DOT) per 1,000 resident days (RD), and distribution of antibiotic course duration, overall and at the facility level. Facility proportion of short-stay and long-stay (>100 days) nursing-home residents were calculated using admission dates and census data in the EHR data set and a payor variable in the pharmacy data set (Figure 1). The 2 data sources also provided antibiotic characteristics, including antibiotic class, agent, and route of administration. The deidentified nature of facility data prevented direct comparison of antibiotic use measures between facilities. Results: The EHR and pharmacy data sets contained 381,382 and 326,713 residents, respectively (Table 1). Within the EHR, 51% of residents were prescribed an antibiotic in 2017, at a median rate of 77 DOT per 1,000 RD. In the LTC pharmacy, 46% of residents were prescribed an antibiotic at a median rate of 79 DOT per 1,000 RD (Table 1). Short-stay residents contributed a smaller proportion of total RDs in the EHR relative to the pharmacy cohort (21% vs 50%, respectively). Conclusions: Nursing-home antibiotic use data obtained from EHR and pharmacy vendors can be used for calculating antibiotic use measures, which is important for antibiotic use reporting and facility-level tracking to identify opportunities for improving prescribing practices and provide facility-level benchmarks. Further validation of both data sources in the same facilities is needed to compare antibiotic use rates and to determine the most appropriate proxy for type of nursing-home stay for facility-level risk adjustment of antibiotic use rates.Funding: NoDisclosures: None

scholarly journals Simulating Treating in Place in Long-Term Care: Interprofessional Team Care Video Case for Nurse Practitioners

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 760-760
Author(s):  
Laurie Kennedy-Malone
Keyword(s):  
Nursing Education ◽  
Nurse Practitioners ◽  
Nurse Practitioner ◽  
Long Term Care ◽  
Care Facility ◽  
Authoring Tool ◽  
Case Scenario ◽  
Term Care ◽  
Practitioner Education

Abstract As a means of enhancing clinical simulation opportunities for adult-gerontology nurse practitioner students, a series of video simulations were created for use for nurse practitioner education. With funding through the Health Resources and Service Administration (HRSA) Advanced Nursing Education Workforce grant and partnering with nurse practitioner clinical educators from Optum Health Care, a video simulation focused on the concept of treating an older veteran within a long-term care facility rather than transferring to the acute care setting was developed. The case Treating in Place: Nurse Practitioner-Led Team Management of a Long-Term Care Patient Video involved a nurse practitioner collaborating with a physician, a registered nurse, a social worker, and a family member. The interactive simulation video was developed using the eLearning authoring tool H5P to create learning experiences for students that can be used either in face-to-face classroom experiences or embedded in learning management systems. H5P is a web-based authoring tool that helps faculty build interactive course content. H5P activities provide instant feedback to students, allowing them to self-assess their understanding of the dynamic video simulation case. A faculty handbook that describes the case scenario with the interactive questions and suggested discussion questions is available. The adult-gerontology primary care nurse practitioner competencies addressed for this case are identified in the faculty handbook. These videos have been widely disseminated and are being included in nurse practitioner curriculum across the country. A QR code with access to direct viewing of the video will be included in the presentation.

scholarly journals Cultivating a Patient-Centered Environment (CAPE): Renovations in Long-Term Chronic Care

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 882-882
Author(s):  
Elizabeth Howard ◽  
Tammy Retalic
Keyword(s):  
Long Term Care ◽  
Care Facility ◽  
Functional Independence ◽  
Term Care ◽  
Data Set ◽  
Long Term Care Facility ◽  
Person Centered Care ◽  
Centered Care

Abstract Achieving institutional goal of full, person-centered care was encumbered by an outdated structural “hospital model” at one long-term care facility that undertook building renovations, transforming long hallways into “neighborhood” of compact households. Quality of Life Survey and Long-term Care Minimum Data Set generated data at baseline and 1-year follow-up, comparing renovated(RU) and non-renovated unit(NRU) residents (n=36) to evaluate achievement of person-centered care. RU residents indicating they could “eat when I want” increased 75% to 81% at follow-up and decreased 17% for NRU residents. Sixty-seven percent of RU residents reported bathing “when they want” in contrast to 40% of NRU residents. Most RU residents agreed, “staff act on my suggestions.”More RU residents (68% vs 53%) agreed: “I spend time with other like-minded residents” and more RU residents (86% vs 43%) reported opportunity to explore new skills, interests. RU residents more often reported (50% vs 37%) “people ask for my help or advice.” Similar differences were observed with “it is easy to make friends here,” 67% RU residents responding affirmatively. RU residents reporting “feeling down” improved, moving from 46% to 50% disagreeing with this item with while increased number of NRU residents (18% to 22%) reported “feeling down” at follow-up.Improvement with independent performance of bed mobility, transfer, walking, and dressing among RU residents was observed while NRU residents had decreased percentages of independence. Evaluation of resident outcomes demonstrated improvement with personal choice, activities, personal relationships, functional independence and mood. Physical unit renovations appear to enhance implementation of person-centered care model.

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