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Chambers D, Cantrell A, Preston L, Marincowitz C, Wright L, Conroy S, Lee Gordon A. Reducing unplanned hospital admissions from care homes: a systematic review. HEALTH AND SOCIAL CARE DELIVERY RESEARCH 2023; 11:1-130. [PMID: 37916580 DOI: 10.3310/klpw6338] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
Background Care homes predominantly care for older people with complex health and care needs, who are at high risk of unplanned hospital admissions. While often necessary, such admissions can be distressing and provide an opportunity cost as well as a financial cost. Objectives Our objective was to update a 2014 evidence review of interventions to reduce unplanned admissions of care home residents. We carried out a systematic review of interventions used in the UK and other high-income countries by synthesising evidence of effects of these interventions on hospital admissions; feasibility and acceptability; costs and value for money; and factors affecting applicability of international evidence to UK settings. Data sources We searched the following databases in December 2021 for studies published since 2014: Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews; Cumulative Index to Nursing and Allied Health Literature; Health Management Information Consortium; Medline; PsycINFO; Science and Social Sciences Citation Indexes; Social Care Online; and Social Service Abstracts. 'Grey' literature (January 2022) and citations were searched and reference lists were checked. Methods We included studies of any design reporting interventions delivered in care homes (with or without nursing) or hospitals to reduce unplanned hospital admissions. A taxonomy of interventions was developed from an initial scoping search. Outcomes of interest included measures of effect on unplanned admissions among care home residents; barriers/facilitators to implementation in a UK setting and acceptability to care home residents, their families and staff. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. We used published frameworks to extract data on intervention characteristics, implementation barriers/facilitators and applicability of international evidence. We performed a narrative synthesis grouped by intervention type and setting. Overall strength of evidence for admission reduction was assessed using a framework based on study design, study numbers and direction of effect. Results We included 124 publications/reports (30 from the UK). Integrated care and quality improvement programmes providing additional support to care homes (e.g. the English Care Homes Vanguard initiatives and hospital-based services in Australia) appeared to reduce unplanned admissions relative to usual care. Simpler training and staff development initiatives showed mixed results, as did interventions aimed at tackling specific problems (e.g. medication review). Advance care planning was key to the success of most quality improvement programmes but do-not-hospitalise orders were problematic. Qualitative research identified tensions affecting decision-making involving paramedics, care home staff and residents/family carers. The best way to reduce end-of-life admissions through access to palliative care was unclear in the face of inconsistent and generally low-quality evidence. Conclusions Effective implementation of interventions at various stages of residents' care pathways may reduce unplanned admissions. Most interventions are complex and require adaptation to local contexts. Work at the interface between health and social care is key to successful implementation. Limitations Much of the evidence identified was of low quality because of factors such as uncontrolled study designs and small sample size. Meta-analysis was not possible. Future work We identified a need for improved economic evidence and the evaluation of integrated care models of the type delivered by hospital-based teams. Researchers should carefully consider what is realistic in terms of study design and data collection given the current context of extreme pressure on care homes. Study registration This study is registered as PROSPERO database CRD42021289418. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (award number NIHR133884) and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 18. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Duncan Chambers
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Anna Cantrell
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Louise Preston
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Carl Marincowitz
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | | | - Simon Conroy
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Adam Lee Gordon
- Academic Unit of Injury, Recovery and Inflammation Sciences (IRIS), School of Medicine, University of Nottingham, Nottingham, UK
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Kay S, Unroe KT, Lieb KM, Kaehr EW, Blackburn J, Stump TE, Evans R, Klepfer S, Carnahan JL. Improving Communication in Nursing Homes Using Plan-Do-Study-Act Cycles of an SBAR Training Program. J Appl Gerontol 2023; 42:194-204. [PMID: 36205006 PMCID: PMC9981342 DOI: 10.1177/07334648221131469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Incomplete communication between staff and providers may cause adverse outcomes for nursing home residents. The Situation-Background-Assessment-Recommendation (SBAR) tool is designed to improve communication around changes in condition (CIC). An adapted SBAR was developed for the Centers for Medicare and Medicaid Services demonstration project, OPTIMISTIC, to increase its use during a resident CIC and to improve documentation. METHODS Four Plan-Do-Study-Act (PDSA) cycles to develop and refine successive protocol implementation of the OPTIMISTIC SBAR were deployed in four Indiana nursing homes. Use of SBAR, documentation quality, and participant surveys were assessed pre- and post-intervention implementation. RESULTS OPTIMISTIC SBAR use and documentation quality improved in three of the four buildings. Participants reported improved collaboration between nurses and providers after SBAR intervention. CONCLUSION Successive PDSA cycles implementing changes in an OPTIMISTIC SBAR protocol for resident CIC led to an increase in SBAR use, improved documentation, and better collaboration between nursing staff and providers.
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Affiliation(s)
- Samantha Kay
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathleen T. Unroe
- Indiana University School of Medicine, Indianapolis, IN, USA,Regenstrief Institute, Indiana University Center for Aging Research, Indianapolis, IN, USA
| | - Kristi M. Lieb
- Indiana University School of Medicine, Indianapolis, IN, USA,Roudebush VA Medical Center, Indianapolis, IN, USA
| | - Ellen W. Kaehr
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Justin Blackburn
- Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Timothy E. Stump
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | - Jennifer L. Carnahan
- Indiana University School of Medicine, Indianapolis, IN, USA,Regenstrief Institute, Indiana University Center for Aging Research, Indianapolis, IN, USA,Roudebush VA Medical Center, Indianapolis, IN, USA
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Mills CA, Tran Y, Yeager VA, Unroe KT, Holmes A, Blackburn J. Perceptions of Nurses Delivering Nursing Home Virtual Care Support: A Qualitative Pilot Study. Gerontol Geriatr Med 2023; 9:23337214231163438. [PMID: 36968120 PMCID: PMC10037723 DOI: 10.1177/23337214231163438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/22/2023] [Accepted: 02/26/2023] [Indexed: 03/29/2023] Open
Abstract
Avoidable hospitalizations among nursing home residents result in poorer health outcomes and excess costs. Consequently, efforts to reduce avoidable hospitalizations have been a priority over the recent decade. However, many potential interventions are time-intensive and require dedicated clinical staff, although nursing homes are chronically understaffed. The OPTIMISTIC project was one of seven programs selected by CMS as "enhanced care & coordination providers" and was implemented from 2012 to 2020. This qualitative study explores the perceptions of the nurses that piloted a virtual care support project developed to expand the program's reach through telehealth, and specifically considered how nurses perceived the effectiveness of this program. Relationships, communication, and access to information were identified as common themes facilitating or impeding the perceived effectiveness of the implementation of virtual care support programs within nursing homes.
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Affiliation(s)
- Carol A. Mills
- The Pennsylvania State University,
Department of Health Policy and Administration, University Park, USA
| | - Yvette Tran
- Indiana University, Richard M.
Fairbanks School of Public Health at IUPUI, Indianapolis, USA
| | - Valerie A. Yeager
- Indiana University, Richard M.
Fairbanks School of Public Health at IUPUI, Indianapolis, USA
| | - Kathleen T. Unroe
- Indiana University School of Medicine,
Department of Medicine, Division of General Internal Medicine and Geriatrics,
Indianapolis, USA
| | - Ann Holmes
- Indiana University, Richard M.
Fairbanks School of Public Health at IUPUI, Indianapolis, USA
| | - Justin Blackburn
- Indiana University, Richard M.
Fairbanks School of Public Health at IUPUI, Indianapolis, USA
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Basinska K, Zúñiga F, Simon M, De Geest S, Guerbaai RA, Wellens NIH, Nicca D, Brunkert T. Implementation of a complex intervention to reduce hospitalizations from nursing homes: a mixed-method evaluation of implementation processes and outcomes. BMC Geriatr 2022; 22:196. [PMID: 35279088 PMCID: PMC8918313 DOI: 10.1186/s12877-022-02878-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 02/28/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background | objective
To evaluate the implementation of three intervention elements to reduce hospitalizations in nursing home residents.
Design
Convergent mixed-method design within a hybrid type-2 effectiveness-implementation study.
Setting
Eleven nursing homes in the German-speaking region of Switzerland.
Participants
Quantitative data were collected from 573 care workers; qualitative data were collected from 108 care workers and the leadership from 11 nursing homes.
Intervention
Three intervention elements targeting care workers were implemented to reduce unplanned hospitalizations: (1) the STOP&WATCH instrument for early recognition of changes in resident condition; (2) the ISBAR instrument for structured communication; and (3) specially-trained INTERCARE nurses providing on-site geriatric support. Multifaceted implementation strategies focusing both on the overall nursing home organization and on the care workers were used.
Methods
The quantitative part comprised surveys of care workers six- and twelve-months post-intervention. The intervention’s acceptability, feasibility and uptake were assessed using validated and self-developed scales.
Qualitative data were collected in 22 focus groups with care workers, then analyzed using thematic analysis methodology. Data on implementation processes were collected during implementation meetings with nursing home leadership and were analyzed via content analysis. Findings were integrated using a complementary approach.
Results
The ISBAR instrument and the INTERCARE nurse role were considered acceptable, feasible, and taken up by > 70% of care workers. The STOP&WATCH instrument showed the lowest acceptance (mean: 68%), ranging from 24 to 100% across eleven nursing homes. A combination of factors, including the amount of information received, the amount of support provided in daily practice, the users’ perceived ease of using the intervention and its adaptations, and the intervention’s usefulness, appeared to influence the implementation’s success. Two exemplary nursing homes illustrated context-specific implementation processes that serve as either barriers or facilitators to implementation.
Conclusions
Our findings suggest that, alongside the provision of information shortly before intervention start, constant daily support is crucial for implementation success. Ideally, this support is provided by designated and trained individuals who oversee implementation at the organizational and unit levels. Leaders who seek to implement interventions in nursing homes should consider their complexity and their consequences for workflow to optimize implementation processes accordingly.
Trial registration
This study was registered at clinicaltrials.gov (NCT03590470) on the 18/06/2018.
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Zúñiga F, Guerbaai RA, de Geest S, Popejoy LL, Bartakova J, Denhaerynck K, Trutschel D, Basinska K, Nicca D, Kressig RW, Zeller A, Wellens NIH, de Pietro C, Desmedt M, Serdaly C, Simon M. Positive effect of the INTERCARE nurse-led model on reducing nursing home transfers: A nonrandomized stepped-wedge design. J Am Geriatr Soc 2022; 70:1546-1557. [PMID: 35122238 PMCID: PMC9305956 DOI: 10.1111/jgs.17677] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/04/2021] [Accepted: 12/01/2021] [Indexed: 11/29/2022]
Abstract
Background Unplanned nursing home (NH) transfers are burdensome for residents and costly for health systems. Innovative nurse‐led models of care focusing on improving in‐house geriatric expertise are needed to decrease unplanned transfers. The aim was to test the clinical effectiveness of a comprehensive, contextually adapted geriatric nurse‐led model of care (INTERCARE) in reducing unplanned transfers from NHs to hospitals. Methods A multicenter nonrandomized stepped‐wedge design within a hybrid type‐2 effectiveness‐implementation study was implemented in 11 NHs in German‐speaking Switzerland. The first NH enrolled in June 2018 and the last in November 2019. The study lasted 18 months, with a baseline period of 3 months for each NH. Inclusion criteria were 60 or more long‐term care beds and 0.8 or more hospitalizations per 1′000 resident care days. Nine hundred and forty two long‐term NH residents were included between June 2018 and January 2020 with informed consent. Short‐term residents were excluded. The primary outcome was unplanned hospitalizations. A fully anonymized dataset of overall transfers of all NH residents served as validation. Analysis was performed with segmented mixed regression modeling. Results Three hundred and three unplanned and 64 planned hospitalizations occurred. During the baseline period, unplanned transfers increased over time (β1 = 0.52), after which the trend significantly changed by a similar but opposite amount (β2 = −0.52; p = 0.0001), resulting in a flattening of the average transfer rate throughout the postimplementation period (β1 + β2 ≈ 0). Controlling for age, gender, and cognitive performance did not affect these trends. The validation set showed a similar flattening trend. Conclusion A complex intervention with six evidence‐based components demonstrated effectiveness in significantly reducing unplanned transfers of NH residents to hospitals. INTERCARE's success was driven by registered nurses in expanded roles and the use of tools for clinical decision‐making. See related Editorial by Kaehr et al. in this issue.
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Affiliation(s)
- Franziska Zúñiga
- Department of Public Health, Faculty of Medicine, Institute of Nursing Science, University of Basel, Basel, Switzerland
| | - Raphaëlle-Ashley Guerbaai
- Department of Public Health, Faculty of Medicine, Institute of Nursing Science, University of Basel, Basel, Switzerland
| | - Sabina de Geest
- Department of Public Health, Faculty of Medicine, Institute of Nursing Science, University of Basel, Basel, Switzerland.,Public Health and Primary Care, Academic Centre for Nursing and Midwifery, Leuven, Belgium
| | - Lori L Popejoy
- University of Missouri, Sinclair School of Nursing, Columbia, USA
| | - Jana Bartakova
- Department of Public Health, Faculty of Medicine, Institute of Nursing Science, University of Basel, Basel, Switzerland
| | - Kris Denhaerynck
- Department of Public Health, Faculty of Medicine, Institute of Nursing Science, University of Basel, Basel, Switzerland.,Public Health and Primary Care, Academic Centre for Nursing and Midwifery, Leuven, Belgium
| | - Diana Trutschel
- Department of Computational Biology, Institut Pasteur, Paris, France
| | - Kornelia Basinska
- Department of Public Health, Faculty of Medicine, Institute of Nursing Science, University of Basel, Basel, Switzerland
| | - Dunja Nicca
- Institut of Epidemiology, Biostatistics and Prevention, University of Zürich, Zürich, Switzerland
| | - Reto W Kressig
- University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland.,Faculty of Medicine, University of Basel, Basel, Switzerland
| | - Andreas Zeller
- Centre for Primary Health Care, University of Basel, Basel, Switzerland
| | - Nathalie I H Wellens
- Directorate General of Health, Department of Public Health and Social Affairs of the Canton of Vaud, Lausanne, Switzerland.,La Source School of Nursing, HES-SO University of Applied Sciences and Arts of Western Switzerland, Lausanne, Switzerland
| | - Carlo de Pietro
- The department of Business economics, Health and Social Care at the University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland
| | - Mario Desmedt
- Foundation Asile des Aveugles, Lausanne, Switzerland
| | | | - Michael Simon
- Department of Public Health, Faculty of Medicine, Institute of Nursing Science, University of Basel, Basel, Switzerland.,Inselspital Bern University Hospital, Department of Nursing, Nursing & Midwifery Research Unit, Bern, Switzerland
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Webb HT, Lieb KM, Stump TE, Unroe KT, Carnahan JL. Describing Transfers Originating Out-of-Facility for Nursing Home Residents. J Am Med Dir Assoc 2022; 23:105-110. [PMID: 34181908 PMCID: PMC8709881 DOI: 10.1016/j.jamda.2021.05.042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 05/06/2021] [Accepted: 05/29/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVES Potentially avoidable hospitalizations are harmful to nursing home residents. Despite extensive care transitions research, no studies have described transfers originating outside the nursing home (eg, visiting family members or at a dialysis center). This article describes 82 out-of-facility (community) transfers and compares them to transfers originating within the nursing home (direct transfers). DESIGN Secondary data analysis with multivariable model for community transfer risk factors. SETTING AND PARTICIPANTS Eighty-two community transfers and 1362 transfers originating in the nursing home, involving 870 residents enrolled in the OPTIMISTIC demonstration project between January 1, 2015, and June 30, 2016. METHODS Transfers were compared using data from the Minimum Data Set and root cause analyses performed at time of transfer. Multivariable associations were assessed at the transfer level to define risk factors for community transfers. Project nurses collected data on community transfers to inform a root cause analysis. RESULTS Residents with community transfers were younger (74.4 years vs 78.2 years), with lower prevalence of cognitive impairment (44.8% vs 70.3%) and higher rates of heart failure (38.7% vs 23.3%) than residents with direct transfers. Community transfers were more likely due to cardiovascular illness (31.2% vs 8.7%), whereas less likely to be for cognitive, behavioral, and psychiatric concerns (11.7% vs 22.7%). Nearly half (46%) of community transfers originated at dialysis centers. Residents transferred outside the nursing home were less likely to have documented limitations to care such as a do not resuscitate code status. Communication during community transfers was identified on root cause analyses as a potential area for improvement. CONCLUSIONS AND IMPLICATIONS Community transfers were more likely to occur in younger residents with higher rates of cardiovascular disease and lower rates of cognitive impairment. Improved communication between nursing home staff and outside providers as well as more extensive advance care planning for residents with cardiovascular disease may reduce community transfers.
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Affiliation(s)
- Hanna T Webb
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kristi M Lieb
- Indiana University School of Medicine, Indianapolis, IN, USA; Roudebush VA Medical Center, Indianapolis, IN, USA
| | - Timothy E Stump
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathleen T Unroe
- Indiana University School of Medicine, Indianapolis, IN, USA; Regenstrief Institute, IU Center for Aging Research, Indianapolis, IN, USA
| | - Jennifer L Carnahan
- Indiana University School of Medicine, Indianapolis, IN, USA; Regenstrief Institute, IU Center for Aging Research, Indianapolis, IN, USA; Roudebush VA Medical Center, Indianapolis, IN, USA.
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Johnson AH, Harrison TC. Advanced Practice Registered Nurse Transition to Practice in the Long-Term Care Setting: An Ethnography. Glob Qual Nurs Res 2022; 9:23333936221108701. [PMID: 35832603 PMCID: PMC9272163 DOI: 10.1177/23333936221108701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 05/26/2022] [Accepted: 06/02/2022] [Indexed: 11/21/2022] Open
Abstract
Advanced practice registered nurses are successful in improving quality outcomes and filling provider care gaps in long-term care. However, little is known about the nurse’s transition to practice in this setting. A 12-month ethnography was conducted via participant-observation with nine advanced practice registered nurses in five long-term care facilities to understand practice environment influence on the nurses’ transition and on the reciprocal influence of the nurse on the practice environment. Transition was fraught with uncertainty as documented by five themes: where’s my authority, institutional acceptance, personal role fulfillment, provider relationships, and individual versus organizational care. These findings suggest that transition in this setting is complex, characterized by insecurity whether the individual is new to advanced practice or experienced. Transition in long-term care could be strengthened by formal programs that include clinical practice, reconceived mentorship for advanced practice registered nurses, and education designed to improve comfort and expertise with indirect care.
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Joynt Maddox KE, Barnett ML, Orav EJ, Zheng J, Grabowski DC, Epstein AM. Savings and outcomes under Medicare's bundled payments initiative for skilled nursing facilities. J Am Geriatr Soc 2021; 69:3422-3434. [PMID: 34379323 DOI: 10.1111/jgs.17409] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 07/08/2021] [Accepted: 07/19/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Model 3 of Medicare's Bundled Payments for Care Improvement (BPCI) was a voluntary alternative payment model that held participating skilled nursing facilities (SNFs) accountable for 90-day costs of care. Its overall impact on Medicare spending and clinical outcomes is unknown. METHODS Retrospective cohort study using Medicare claims from 2012 to 2017. We used an interrupted time-series design to compare participating vs matched control SNFs on total 90-day Medicare payments and payment components (initial SNF stay, readmissions, and outpatient/clinician), case mix (volume, proportion Medicaid, proportion black, number of comorbidities), and clinical outcomes (90-day readmission, mortality and healthy days at home, and length of initial SNF stay), overall and among key subgroups with frailty or dementia, for 47 of the 48 conditions in the program (excluding major lower extremity joint replacement). RESULTS Our sample included 1001 participating and 3873 matched control SNFs. At baseline, total Medicare institutional payments were increasing at BPCI SNFs at a rate of $121 per episode per quarter; during the intervention period, payments decreased at a rate of -$398/episode/quarter. Among controls, payments were stable in the baseline period (+$17/episode/quarter) but decreased at -$424/episode/quarter during the intervention period, yielding a nonsignificant difference in slope changes of -$79/episode/quarter (95% confidence interval [CI] -$188, $31, p = 0.16). However, among patients with frailty, spending declined by $620/episode/quarter in the BPCI group, compared with $330/episode/quarter in the non-BPCI group, for a difference in slope changes of -$289 (95% CI -$482, -$96, p = 0.003). There were no differences in the change in slopes in case selection or clinical outcomes overall or in any clinical subgroup. CONCLUSIONS SNF participation in BPCI was associated with no overall differential change in total Medicare payments per episode, case selection, or clinical outcomes. Exploratory analyses revealed a decrease in Medicare payments in patients with frailty that may warrant further study.
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Affiliation(s)
- Karen E Joynt Maddox
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.,Center for Health Economics and Policy, Institute for Public Health at Washington University, St. Louis, Missouri, USA
| | - Michael L Barnett
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - E John Orav
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | - Jie Zheng
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - David C Grabowski
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | - Arnold M Epstein
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Facility and resident characteristics associated with variation in nursing home transfers: evidence from the OPTIMISTIC demonstration project. BMC Health Serv Res 2021; 21:492. [PMID: 34030672 PMCID: PMC8142645 DOI: 10.1186/s12913-021-06419-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/19/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Centers for Medicare and Medicaid Services (CMS) funded demonstration project to evaluate financial incentives for nursing facilities providing care for 6 clinical conditions to reduce potentially avoidable hospitalizations (PAHs). The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) site tested payment incentives alone and in combination with the successful nurse-led OPTIMISTIC clinical model. Our objective was to identify facility and resident characteristics associated with transfers, including financial incentives with or without the clinical model. METHODS This was a longitudinal analysis from April 2017 to June 2018 of transfers among nursing home residents in 40 nursing facilities, 17 had the full clinical + payment model (1726 residents) and 23 had payment only model (2142 residents). Using CMS claims data, the Minimum Data Set, and Nursing Home Compare, multilevel logit models estimated the likelihood of all-cause transfers and PAHs (based on CMS claims data and ICD-codes) associated with facility and resident characteristics. RESULTS The clinical + payment model was associated with 4.1 percentage points (pps) lower risk of all-cause transfers (95% confidence interval [CI] - 6.2 to - 2.1). Characteristics associated with lower PAH risk included residents aged 95+ years (- 2.4 pps; 95% CI - 3.8 to - 1.1), Medicare-Medicaid dual-eligibility (- 2.5 pps; 95% CI - 3.3 to - 1.7), advanced and moderate cognitive impairment (- 3.3 pps; 95% CI - 4.4 to - 2.1; - 1.2 pps; 95% CI - 2.2 to - 0.2). Changes in Health, End-stage disease and Symptoms and Signs (CHESS) score above most stable (CHESS score 4) increased the risk of PAH by 7.3 pps (95% CI 1.5 to 13.1). CONCLUSIONS Multiple resident and facility characteristics are associated with transfers. Facilities with the clinical + payment model demonstrated lower risk of all-cause transfers compared to those with payment only, but not for PAHs.
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Hospitalization and Post-Acute and Long-Term Care Medicine. J Am Med Dir Assoc 2020; 21:441-443. [DOI: 10.1016/j.jamda.2020.02.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 02/24/2020] [Indexed: 12/12/2022]
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