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Toles M, Preisser JS, Colón-Emeric C, Naylor MD, Weinberger M, Zhang Y, Hanson LC. Connect-Home transitional care from skilled nursing facilities to home: A stepped wedge, cluster randomized trial. J Am Geriatr Soc 2023; 71:1068-1080. [PMID: 36625769 PMCID: PMC10089938 DOI: 10.1111/jgs.18218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 11/04/2022] [Accepted: 11/06/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Skilled nursing facility (SNF) patients and their caregivers who transition to home experience complications and frequently return to acute care. We tested the efficacy of the Connect-Home transitional care intervention on patient and caregiver preparedness for care at home, and other patient and caregiver-reported outcomes. METHODS We used a stepped wedge, cluster-randomized trial design to test the intervention against standard discharge planning (control). The setting was six SNFs and six home health offices in one agency. Participants were 327 dyads of patients discharged from SNF to home and their caregivers; 11.1% of dyads in the control condition and 81.2% in the intervention condition were enrolled after onset of COVID-19. Patients were 63.9% female and mean age was 76.5 years. Caregivers were 73.7% female and mean age was 59.5 years. The Connect-Home intervention includes tools, training, and technical assistance to deliver transitional care in SNFs and patients' homes. Primary outcomes measured at 7 days included patient and caregiver measures of preparedness for care at home, the Care Transitions Measure-15 (patient) and the Preparedness for Caregiving Scale (caregiver). Secondary outcomes measured at 30 and 60 days included the McGill Quality of Life Questionnaire, Life Space Assessment, Zarit Caregiver Burden Scale, Distress Thermometer, and self-reported number of patient days in the ED or hospital in 30 and 60 days following SNF discharge. RESULTS The intervention was not associated with improvement in patient or caregiver outcomes in the planned analyses. Post-hoc analyses that distinguished between pre- and post-pandemic effects suggest the intervention may be associated with increased patient preparedness for discharge and decreased number of acute care days. CONCLUSIONS Connect-Home transitional care did not improve outcomes in the planned statistical analysis. Post-hoc findings accounting for COVID-19 impact suggest SNF transitional care has potential to increase patient preparedness and decrease return to acute care.
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Affiliation(s)
- Mark Toles
- School of Nursing, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - John S. Preisser
- Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Cathleen Colón-Emeric
- School of Medicine, Duke University and Geriatric Research Education and Clinical Center at the Durham VA Medical Center, Durham, North Carolina
| | - Mary D. Naylor
- School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Morris Weinberger
- Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Ying Zhang
- Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Laura C. Hanson
- School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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Osundolire S, Goldberg RJ, Lapane KL. Descriptive Epidemiology of Chronic Obstructive Pulmonary Disease in US Nursing Home Residents With Heart Failure. Curr Probl Cardiol 2023; 48:101484. [PMID: 36343840 PMCID: PMC9849011 DOI: 10.1016/j.cpcardiol.2022.101484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is highly prevalent in older adults with heart failure and heart failure is highly prevalent in older adults with COPD. Information is presently lacking about the extent to which COPD and heart failure co-occur among nursing home residents. The objective of this study was to describe the epidemiology of, and factors associated with, COPD among nursing home residents with heart failure. This cross-sectional study included 97,495 long-term stay nursing home residents with heart failure in 2018. The Minimum Data Set 3.0 (MDS) provided information on sociodemographic characteristics, comorbid conditions, and activities of daily living. Heart failure and COPD were defined based on notes at admission, hospitalizations, progress notes, and through physical examination findings. The majority of the study population were ≥75 years old (74.1%), women (67.3%), and Non-Hispanic Whites (77.4%). Nearly 1 in 5 residents had reduced ejection fraction findings, 23.1% had a preserved ejection fraction, and 53.8% of nursing home residents with heart failure had COPD. This pulmonary condition was less frequently noted in women, residents of advanced age, and racial/ethnic minorities and more frequently diagnosed in residents with comorbid conditions such as pneumonia, anxiety, obesity, diabetes mellitus, and coronary artery disease. We found a high prevalence of COPD, and identified several factors associated with COPD, in nursing home residents with heart failure. Our findings highlight challenges in the clinical management of COPD in nursing home residents with heart failure and how best to meet the care needs of this understudied population.
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Affiliation(s)
- Seun Osundolire
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA.
| | - Robert J Goldberg
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA
| | - Kate L Lapane
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA
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Yap NLX, Kor Q, Teo YN, Teo YH, Syn NL, Mance Evangelista LK, Tan BY, Lin W, Yeo LL, Kong WK, Chong YF, Wong RC, Poh KK, Yeo TC, Sharma VK, Chai P, Chan MY, Goh FQ, Sia CH. Prevalence and Incidence of Cognitive Impairment and Dementia in Heart Failure - A Systematic Review, Meta-Analysis and Meta-Regression. Hellenic J Cardiol 2022; 67:48-58. [PMID: 35839985 DOI: 10.1016/j.hjc.2022.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 06/14/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION The burden of cognitive impairment in HF patients is significant and leads to longer hospital stay, higher readmission rates, and increased mortality. This review seeks to synthesize the available studies to determine the prevalence and incidence of cognitive impairment and dementia in HF patients. METHODS PubMed, Embase, PsychoINFO and Cochrane databases were systematically searched from their inception through to 3 May 2021. Study and population characteristics, total patients with HF, prevalence of cognitive impairment and dementia in HF patients and cognitive assessment tool were abstracted by two reviewers. RESULTS In heart failure patients, overall prevalence for cognitive impairment and dementia was 41.42% (CI) and 19.79% (dementia) respectively. We performed a meta-regression analysis which demonstrated that the risk of cognitive impairment and dementia increased with age. DISCUSSION Further research should investigate whether HF accelerates the rate of cognitive decline and the progression of dementia.
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Affiliation(s)
- Nicole Li Xian Yap
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228
| | - Qianyi Kor
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228
| | - Yao Neng Teo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228
| | - Yao Hao Teo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228
| | - Nicholas L Syn
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228
| | - Lauren Kay Mance Evangelista
- Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Benjamin Yq Tan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Division of Neurology, Department of Medicine, National University Hospital, 5 Lower Kent Ridge Rd, Singapore 119074
| | - Weiqin Lin
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Leonard Ll Yeo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Division of Neurology, Department of Medicine, National University Hospital, 5 Lower Kent Ridge Rd, Singapore 119074
| | - William Kf Kong
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Yao Feng Chong
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Division of Neurology, Department of Medicine, National University Hospital, 5 Lower Kent Ridge Rd, Singapore 119074
| | - Raymond Cc Wong
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Kian Keong Poh
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Tiong-Cheng Yeo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Vijay Kumar Sharma
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Division of Neurology, Department of Medicine, National University Hospital, 5 Lower Kent Ridge Rd, Singapore 119074
| | - Ping Chai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Mark Y Chan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Fang Qin Goh
- Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228
| | - Ching-Hui Sia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 10, Singapore 119228; Department of Cardiology, National University Heart Centre Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 9, Singapore 119228.
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Osundolire S, Naqvi S, Nunes AP, Lapane KL. Heart failure among US nursing home residents with diabetes mellitus. Int J Cardiol 2022; 349:138-143. [PMID: 34826498 PMCID: PMC8766946 DOI: 10.1016/j.ijcard.2021.11.035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 11/07/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND Type 2 diabetes mellitus is associated with an increased risk of developing heart failure. However, few recent studies have examined the characteristics of older adults living in US nursing homes with heart failure and diabetes mellitus. This study is important for clinical practice and public health action plans for heart failure. OBJECTIVE To estimate the prevalence of, and factors associated with, heart failure in long-stay nursing home residents with diabetes mellitus. METHODS We conducted a cross-sectional study using the US 2016 Minimum Data Set data consisting of all residents with diabetes aged ≥65 years in Medicare/Medicaid certified nursing homes (n = 297,570). Diabetes mellitus and heart failure were operationalized using the resident's transfer notes at admission and the progress notes during admission through physical examination findings and current treatment orders. RESULTS Among all residents with diabetes, 26.4% had heart failure. Increasing age of residents, and comorbidities including coronary artery disease (aOR: 1.34; 95% CI: 1.31-1.37), end stage renal disease (aOR: 1.30; 95% CI: 1.26-1.35), and chronic obstructive pulmonary disease (aOR: 1.60; 95% CI: 1.57-1.63) were associated with a higher odds of heart failure. CONCLUSIONS This is one of the first U.S studies to examine the prevalence and factors associated with heart failure in nursing home residents with diabetes mellitus. It highlights a clinically complex population with multiple comorbid conditions. Future research is needed to understand the pharmacological management of these residents and the extent to which appropriate management can improve quality of life for a medically vulnerable population.
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Affiliation(s)
- Seun Osundolire
- Department of Population & Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA.
| | - Syed Naqvi
- Department of Population & Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA
| | - Anthony P Nunes
- Department of Population & Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA
| | - Kate L Lapane
- Department of Population & Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA
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Toles M, Colón-Emeric C, Hanson LC, Naylor M, Weinberger M, Covington J, Preisser JS. Transitional care from skilled nursing facilities to home: study protocol for a stepped wedge cluster randomized trial. Trials 2021; 22:120. [PMID: 33546737 PMCID: PMC7863858 DOI: 10.1186/s13063-021-05068-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 01/20/2021] [Indexed: 11/22/2022] Open
Abstract
Background Skilled nursing facility (SNF) patients are medically complex with multiple, advanced chronic conditions. They are dependent on caregivers and have experienced recent acute illnesses. Among SNF patients, the rate of mortality or acute care use is over 50% within 90 days of discharge, yet these patients and their caregivers often do not receive the quality of transitional care that prepares them to manage serious illnesses at home. Methods The study will test the efficacy of Connect-Home, a successfully piloted transitional care intervention targeting seriously ill SNF patients discharged to home and their caregivers. The study setting will be SNFs in North Carolina, USA, and, following discharge, in patients’ home. Using a stepped wedge cluster randomized trial design, six SNFs will transition at randomly assigned intervals from standard discharge planning to the Connect-Home intervention. The SNFs will contribute data for patients (N = 360) and their caregivers (N = 360), during both the standard discharge planning and Connect-Home time periods. Connect-Home is a two-step intervention: (a) SNF staff create an individualized Transition Plan of Care to manage the patient’s illness at home; and (b) a Connect-Home Activation RN visits the patient’s home to implement the written Transition Plan of Care. A key feature of the trial includes training of the SNF and Home Care Agency staff to complete the transition plan rather than using study interventionists. The primary outcomes will be patient preparedness for discharge and caregiver preparedness for caregiving role. With the proposed sample and using a two-sided test at the 5% significance level, we have 80% power to detect a 18% increase in the patient’s preparedness for discharge score. We will employ linear mixed models to compare observations between intervention and usual care periods to assess primary outcomes. Secondary outcomes include (a) patients’ quality of life, functional status, and days of acute care use and (b) caregivers’ burden and distress. Discussion Study results will determine the efficacy of an intervention using existing clinical staff to (a) improve transitional care for seriously ill SNF patients and their caregivers, (b) prevent avoidable days of acute care use in a population with persistent risks from chronic conditions, and (c) advance the science of transitional care within end-of-life and palliative care trajectories of SNF patients and their caregivers. While this study protocol was being implemented, the COVID-19 pandemic occurred and this protocol was revised to mitigate COVID-related risks of patients, their caregivers, SNF staff, and the study team. Thus, this paper includes additional material describing these modifications. Trial registration ClinicalTrials.gov NCT03810534. Registered on January 18, 2019.
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Affiliation(s)
- M Toles
- School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, USA.
| | - C Colón-Emeric
- School of Medicine and the Durham VA GRECC, Duke University, Durham, USA
| | - L C Hanson
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - M Naylor
- School of Nursing, University of Pennsylvania, Philadelphia, USA
| | - M Weinberger
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - J Covington
- School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - J S Preisser
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA
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Li L, Baek J, Jesdale BM, Hume AL, Gambassi G, Goldberg RJ, Lapane KL. Predicting 30-day mortality and 30-day re-hospitalization risks in Medicare patients with heart failure discharged to skilled nursing facilities: development and validation of models using administrative data. THE JOURNAL OF NURSING HOME RESEARCH SCIENCES 2019; 5:60-67. [PMID: 32518890 PMCID: PMC7280783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
BACKGROUND Despite the growing importance of skilled nursing facility care for Medicare patients hospitalized with heart failure, no risk prediction models for these patients exist. OBJECTIVES To develop and validate separate predictive models for 30-day all-cause mortality and 30-day all-cause re-hospitalization. DESIGN Retrospective cohort study using a nationwide Medicare claims data cross-linked with Minimum Data Set 3.0. SETTING 11,529 skilled nursing facilities in the United States (2011-2013). PARTICIPANTS 77,670 hospitalized heart failure patients discharged to skilled nursing facilities (randomly split into development (2/3) and validation (1/3) cohorts). MEASUREMENTS Using data on patient sociodemographic and clinical characteristics, health service use, functional status, and facility-level factors, we developed separate prediction models for 30-day mortality and 30-day re-hospitalization using logistic regression models in the development cohort. RESULTS Within 30 days, 6.8% died and 24.2% were re-hospitalized. Thirteen patient-level factors remained in the final model for 30-day mortality and 10 patient-level factors for re-hospitalization with good calibration. The area under receiver operating characteristic curves were 0.71 for 30-day mortality and 0.63 for re-hospitalization in the validation cohort. CONCLUSIONS Among Medicare patients with heart failure discharged to skilled nursing facilities, predicting 30-day mortality and re-hospitalization using administrative data is challenging. Further work identifying factors for re-hospitalization remains needed.
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Affiliation(s)
- Lin Li
- Department of Quantitative Health Sciences, University of
Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA
| | - Jonggyu Baek
- Department of Quantitative Health Sciences, University of
Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA
| | - Bill M. Jesdale
- Department of Quantitative Health Sciences, University of
Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA
| | - Anne L. Hume
- University of Rhode Island College of Pharmacy, 7
Greenhouse Road, Kingston, RI 02881, USA
| | - Giovanni Gambassi
- Fondazione Policlinico Universitario A. Gemelli IRCCS,
Rome, Italy and Università Cattolica del Sacro Cuore, Largo Agostino Gemelli
8, 00168 Rome, Italy
| | - Robert J. Goldberg
- Department of Quantitative Health Sciences, University of
Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA
| | - Kate L. Lapane
- Department of Quantitative Health Sciences, University of
Massachusetts Medical School, 368 Plantation Street, Worcester, MA 01605, USA
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