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Bressman E, Burke RE, Ryan Greysen S. Connected transitions: Opportunities and challenges for improving postdischarge care with technology. J Hosp Med 2024; 19:530-534. [PMID: 38180274 DOI: 10.1002/jhm.13264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/05/2023] [Accepted: 12/10/2023] [Indexed: 01/06/2024]
Affiliation(s)
- Eric Bressman
- Division of Hospital Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robert E Burke
- Division of Hospital Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - S Ryan Greysen
- Division of Hospital Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Sarwal A, Lim J, Sarwal A. Telemedicine for the Underserved Racial and Ethnic Minorities During COVID-19 and Beyond. Telemed J E Health 2024. [PMID: 38739446 DOI: 10.1089/tmj.2023.0270] [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: 05/16/2024] Open
Abstract
Objective: To demonstrate that a culturally and linguistically appropriate telehealth protocol can be implemented to improve the glycemic control of patients as an extension of regular clinical services and provide continuity of care. Methods: A telehealth platform was established during COVID-19 pandemic and from numerous telehealth encounters we sampled 498 patients who received telehealth intervention over a 12-month period for specific services: Rx refill, consultation for laboratory results, wellness evaluation and education, and acute or sick visits with appropriate referrals. This telehealth platform was integrated with a remote patient monitoring system utilizing a Bluetooth-enabled glucometer for patients with diabetes compared to their abnormal baseline hemoglobin A1C (HgA1C). The Blood sugar values were recorded at predefined intervals to monitor controls for diabetes. The ethnic diversity and level of education of patients required addressing the digital divide, language interpretation, and navigation at each monitoring step. Results: This method demonstrated that a culturally and linguistically appropriate telehealth protocol can be implemented to improve the glycemic control of patients in an intervention group compared with a control group. Validation of the glycemic control was based on 70 patients identified as eligible for participation based on the inclusion criteria: a HgA1C level of 7% or higher obtained within the last 10 months. Informed consent was obtained for 42 participants based on patient participation constraints during the COVID-19 pandemic. Conclusions: We conclude that telemedicine procedures utilized for patients with little or no prior knowledge of remote self-monitoring methods can support their treatment of chronic diseases, such as diabetes. The outcomes from the implementation of telemedicine services were observed in a well-defined group of underserved racial and ethnic minority patients at our clinic. We now have a protocol to expand this to other chronic diseases and used as a regular clinical procedure.
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Affiliation(s)
- Alok Sarwal
- Colorado Alliance for Health Equity and Practice-Family Medicine Clinic, Denver, Colorado, USA
| | - Jeehyun Lim
- Colorado Christian University, Lakewood, Colorado, USA
| | - Ashwin Sarwal
- Biochemistry and Molecular Cellular and Developmental Biology Program, University of Colorado, Boulder, Colorado, USA
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3
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Snyderman R, Dai KZ, O'Connor CM. Bridging the Gap Between Effective Therapies and Optimal Clinical Outcomes. Am J Med 2024; 137:192-194. [PMID: 38043884 DOI: 10.1016/j.amjmed.2023.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 12/05/2023]
Affiliation(s)
- Ralph Snyderman
- Duke Center for Personalized Health Care, Durham, NC; Duke University School of Medicine, Durham, NC.
| | - Kathy Z Dai
- Duke Center for Personalized Health Care, Durham, NC; Duke University School of Medicine, Durham, NC
| | - Christopher M O'Connor
- Duke University School of Medicine, Durham, NC; Inova Heart and Vascular Institute, Falls Church, VA
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Klein C, Boveda S, De Groote P, Galinier M, Jourdain P, Mansourati J, Pathak A, Roubille F, Sabatier R, Guedon-Moreau L. Remote management in patients with heart failure (from new onset to advanced): A practical guide. Arch Cardiovasc Dis 2024; 117:160-166. [PMID: 38092576 DOI: 10.1016/j.acvd.2023.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 02/20/2024]
Abstract
Heart failure is a chronic condition that affects millions of people worldwide and is associated with high morbidity and mortality. Remote monitoring, which includes the use of non-invasive connected devices, cardiac implantable electronic devices and haemodynamic monitoring systems, has the potential to improve outcomes for patients with heart failure. Despite the conceptual and clinical advantages, there are still limitations in the widespread use of these technologies. Moreover, a significant proportion of studies evaluating the benefit of remote monitoring in heart failure have focused on the limited area of prevention of rehospitalization after an episode of acute heart failure. A group of experts in the fields of heart failure and digital health worked on this topic in order to provide a practical paper for the use of remote monitoring in clinical practice at the different stages of the heart failure syndrome: (1) discovery of heart failure; (2) acute decompensation of chronic heart failure; (3) heart failure in stable period; and (4) advanced heart failure. A careful and critical analysis of the available literature was performed with the aim of providing caregivers with some recommendations on when and how to use remote monitoring in these different situations, specifying which variables are essential, optional or useless.
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Affiliation(s)
- Cédric Klein
- Department of Cardiovascular Medicine, CHU de Lille, 59000 Lille, France.
| | - Serge Boveda
- Heart Rhythm Department, clinique Pasteur, 31076 Toulouse, France
| | - Pascal De Groote
- Department of Cardiovascular Medicine, CHU de Lille, 59000 Lille, France; Inserm U1167, institut Pasteur de Lille, 59000 Lille, France
| | - Michel Galinier
- Cardiology Department, CHU de Toulouse, 31300 Toulouse, France; University Paul-Sabatier - Toulouse III, 31062 Toulouse, France
| | - Patrick Jourdain
- Covidom Regional Telemedicine Platform, AP-HP, Paris, France; Cardiology Department, University Hospital Bicêtre, AP-HP, 94270 Le Kremlin-Bicêtre, France
| | - Jacques Mansourati
- Department of Cardiology, CHU de Brest, 29200 Brest, France; University of Bretagne Occidentale, 29238 Brest, France
| | - Atul Pathak
- Department of Cardiovascular Medicine, Princess Grace Hospital, 98000 Monaco, Monaco
| | - François Roubille
- Cardiology Department, CHU de Montpellier, 34295 Montpellier, France; Inserm, PhyMedExp, CNRS, université de Montpellier, 34295 Montpellier, France
| | - Rémi Sabatier
- Cardiovascular Department, CHU de Caen Normandie, University of Caen-Normandie, 14000 Caen, France
| | - Laurence Guedon-Moreau
- Department of Cardiovascular Medicine, CHU de Lille, 59000 Lille, France; University of Lille, 59000 Lille, France
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Wallace DM, Grant AB, Belisova-Gyure Z, Ebben M, Bubu OM, Johnson DA, Jean-Louis G, Williams NJ. Discrimination Predicts Suboptimal Adherence to CPAP Treatment and Mediates Black-White Differences in Use. Chest 2024; 165:437-445. [PMID: 37741324 PMCID: PMC10851273 DOI: 10.1016/j.chest.2023.09.016] [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: 12/09/2022] [Revised: 09/07/2023] [Accepted: 09/14/2023] [Indexed: 09/25/2023] Open
Abstract
BACKGROUND Although racial and ethnic differences in CPAP adherence for OSA are widely established, no studies have examined the influence of perceived racial discrimination on CPAP usage, to our knowledge. RESEARCH QUESTION (1) Do Black adults with OSA report experiencing greater amounts of discrimination than non-Hispanic White adults? (2) Is discrimination associated with poorer CPAP adherence over time, independent of self-identified race? (3) Does discrimination mediate the relationship between self-identified Black race and CPAP usage? STUDY DESIGN AND METHODS In this prospective study, Black and non-Hispanic White adults with OSA initiating CPAP were enrolled from two sleep centers and completed questionnaires including sociodemographics, perceived discrimination, daytime sleepiness, insomnia symptoms, and depressive symptoms. Perceived discrimination was measured using the Everyday Discrimination Scale (EDS). Black and White group comparisons for baseline sociodemographic variables, sleep symptoms, and perceived discrimination were performed with Student t test or χ2/Fisher exact test, as appropriate. A linear regression model was completed with self-identified Black race and EDS total score as the primary independent variables of interest and mean daily CPAP usage at 30 and 90 days serving as the dependent outcomes. This regression modeling was repeated after adjusting for psychosocial variables known to be associated with CPAP usage. EDS total score was explored as a potential mediator of the association between self-identified Black race and mean daily CPAP adherence at 30 and 90 days. RESULTS The sample for this analysis consisted of 78 participants (31% female, 38% Black) with a mean age of 57 ± 14 years. Sixty percent of the Black adults reported they experienced racial discrimination at least a few times each year. Relative to White adults, Black adults were also more likely to indicate more than one reason for discrimination (27% vs 4%, P = .003). Adjusting for discrimination, self-identified Black race was associated with 1.4 (95% CI, -2.3 to -0.4 h; P = .006) and 1.6 (95% CI, -2.6 to -0.6 h; P = .003) fewer hours of mean daily CPAP usage at 30 and 90 days, respectively. In the fully adjusted model, a 1-unit change in the total discrimination score (more discrimination) was associated with a 0.08-h (95% CI, 0.01-0.15 h; P = .029) and 0.08-h (95% CI, 0.01-0.16 h; P = .045) change in mean daily CPAP usage at 30 and 90 days, respectively. INTERPRETATION Adults with OSA who encountered racial discrimination experienced greater decrement in CPAP usage than those who did not experience racial discrimination.
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Affiliation(s)
- Douglas M Wallace
- Neurology Service, Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, FL; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL
| | | | | | - Matthew Ebben
- Weill Cornell Medicine, Center for Sleep Medicine, New York, NY
| | - Omonigho M Bubu
- Departments of Population Health and Psychiatry, NYU Grossman School of Medicine, New York, NY
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Girardin Jean-Louis
- Psychiatry and Behavioral Sciences, Neurology, Psychology and Public Health, University of Miami Miller School of Medicine, Miami, FL
| | - Natasha J Williams
- Department of Population Health, Institute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Grossman School of Medicine, New York, NY.
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Harris S, Paynter K, Guinn M, Fox J, Moore N, Maddox TM, Lyons PG. Post-hospitalization remote monitoring for patients with heart failure or chronic obstructive pulmonary disease in an accountable care organization. BMC Health Serv Res 2024; 24:69. [PMID: 38218820 PMCID: PMC10787416 DOI: 10.1186/s12913-023-10496-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/19/2023] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND Post-hospitalization remote patient monitoring (RPM) has potential to improve health outcomes for high-risk patients with chronic medical conditions. The purpose of this study is to determine the extent to which RPM for patients with congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD) is associated with reductions in post-hospitalization mortality, hospital readmission, and ED visits within an Accountable Care Organization (ACO). METHODS Nonrandomized prospective study of patients in an ACO offered enrollment in RPM upon hospital discharge between February 2021 and December 2021. RPM comprised of vital sign monitoring equipment (blood pressure monitor, scale, pulse oximeter), tablet device with symptom tracking software and educational material, and nurse-provided oversight and triage. Expected enrollment was for at least 30-days of monitoring, and outcomes were followed for 6 months following enrollment. The co-primary outcomes were (a) the composite of death, hospital admission, or emergency care visit within 180 days of eligibility, and (b) time to occurrence of this composite. Secondary outcomes were each component individually, the composite of death or hospital admission, and outpatient office visits. Adjusted analyses involved doubly robust estimation to address confounding by indication. RESULTS Of 361 patients offered remote monitoring (251 with CHF and 110 with COPD), 140 elected to enroll (106 with CHF and 34 with COPD). The median duration of RPM-enrollment was 54 days (IQR 34-85). Neither the 6-month frequency of the co-primary composite outcome (59% vs 66%, FDR p-value = 0.47) nor the time to this composite (median 29 vs 38 days, FDR p-value = 0.60) differed between the groups, but 6-month mortality was lower in the RPM group (6.4% vs 17%, FDR p-value = 0.02). After adjustment for confounders, RPM enrollment was associated with nonsignificantly decreased odds for the composite outcome (adjusted OR [aOR] 0.68, 99% CI 0.25-1.34, FDR p-value 0.30) and lower 6-month mortality (aOR 0.41, 99% CI 0.00-0.86, FDR p-value 0.20). CONCLUSIONS RPM enrollment may be associated with improved health outcomes, including 6-month mortality, for selected patient populations.
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Affiliation(s)
- Samantha Harris
- Washington University School of Medicine, St. Louis, MO, USA
| | | | | | - Julie Fox
- BJC Medical Group, St. Louis, MO, USA
| | | | | | - Patrick G Lyons
- Department of Medicine, Oregon Health & Science University, Portland, OR, USA.
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Tang M, Nakamoto CH, Stern AD, Zubizarreta JR, Marcondes FO, Uscher-Pines L, Schwamm LH, Mehrotra A. Effects of Remote Patient Monitoring Use on Care Outcomes Among Medicare Patients With Hypertension : An Observational Study. Ann Intern Med 2023; 176:1465-1475. [PMID: 37931262 DOI: 10.7326/m23-1182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Remote patient monitoring (RPM) is a promising tool for improving chronic disease management. Use of RPM for hypertension monitoring is growing rapidly, raising concerns about increased spending. However, the effects of RPM are still unclear. OBJECTIVE To estimate RPM's effect on hypertension care and spending. DESIGN Matched observational study emulating a longitudinal, cluster randomized trial. After matching, effect estimates were derived from a regression analysis comparing changes in outcomes from 2019 to 2021 for patients with hypertension at high-RPM practices versus those at matched control practices with little RPM use. SETTING Traditional Medicare. PATIENTS Patients with hypertension. INTERVENTION Receipt of care at a high-RPM practice. MEASUREMENTS Primary outcomes included hypertension medication use (medication fills, adherence, and unique medications received), outpatient visit use, testing and imaging use, hypertension-related acute care use, and total hypertension-related spending. RESULTS 192 high-RPM practices (with 19 978 patients with hypertension) were matched to 942 low-RPM control practices (with 95 029 patients with hypertension). Compared with patients with hypertension at matched low-RPM practices, patients with hypertension at high-RPM practices had a 3.3% (95% CI, 1.9% to 4.8%) relative increase in hypertension medication fills, a 1.6% (CI, 0.7% to 2.5%) increase in days' supply, and a 1.3% (CI, 0.2% to 2.4%) increase in unique medications received. Patients at high-RPM practices also had fewer hypertension-related acute care encounters (-9.3% [CI, -20.6% to 2.1%]) and reduced testing use (-5.9% [CI, -11.9% to 0.0%]). However, these patients also saw increases in primary care physician outpatient visits (7.2% [CI, -0.1% to 14.6%]) and a $274 [CI, $165 to $384]) increase in total hypertension-related spending. LIMITATION Lacked blood pressure data; residual confounding. CONCLUSION Patients in high-RPM practices had improved hypertension care outcomes but increased spending. PRIMARY FUNDING SOURCE National Institute of Neurological Disorders and Stroke.
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Affiliation(s)
- Mitchell Tang
- Harvard Graduate School of Arts and Sciences, Cambridge; and Harvard Business School, Boston, Massachusetts (M.T.)
| | - Carter H Nakamoto
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts (C.H.N.)
| | - Ariel D Stern
- Harvard Business School, Boston; and Harvard-MIT Center for Regulatory Science, Boston, Massachusetts (A.D.S.)
| | - Jose R Zubizarreta
- Department of Health Care Policy, Harvard Medical School, Boston; Department of Biostatistics, Harvard School of Public Health, Boston; and Department of Statistics, Harvard University, Cambridge, Massachusetts (J.R.Z.)
| | - Felippe O Marcondes
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts (F.O.M.)
| | | | - Lee H Schwamm
- Stroke Division, Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts (L.H.S.)
| | - Ateev Mehrotra
- Department of Health Care Policy, Harvard Medical School, Boston; and Beth Israel Deaconess Medical Center, Boston, Massachusetts (A.M.)
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Klaiman T, Iannotte LG, Josephs M, Russell LB, Norton L, Mehta S, Troxel A, Zhu J, Volpp K, Asch DA. Qualitative analysis of a remote monitoring intervention for managing heart failure. BMC Cardiovasc Disord 2023; 23:440. [PMID: 37679712 PMCID: PMC10486103 DOI: 10.1186/s12872-023-03456-9] [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: 10/27/2022] [Accepted: 08/17/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Heart failure (HF) is one of the most common reasons for hospital admission and is a major cause of morbidity, mortality, and increasing health care costs. The EMPOWER study was a randomized trial that used remote monitoring technology to track patients' weight and diuretic adherence and a state-of-the-art approach derived from behavioral economics to motivate adherence to the reverse monitoring technology. OBJECTIVE The goal was to explore patient and clinician perceptions of the program and its impact on perceived health outcomes and better understand why some patients or clinicians did better or worse than others in response to the intervention. APPROACH This was a retrospective qualitative study utilizing semi-structured interviews with 43 patients and 16 clinicians to understand the trial's processes, reflecting on successes and areas for improvement for future iterations of behavioral economic interventions. KEY RESULTS Many patients felt supported, and they appreciated the intervention. Many also appreciated the lottery intervention, and while it was not an incentive for enrolling for many respondents, it may have increased adherence during the study. Clinicians felt that the intervention integrated well into their workflow, but the number of alerts was burdensome. Additionally, responses to alerts varied considerably by provider, perhaps because there are no professional guidelines for alerts unaccompanied by severe symptoms. CONCLUSION Our qualitative analysis indicates potential areas for additional exploration and consideration to design better behavioral economic interventions to improve cardiovascular health outcomes for patients with HF. Patients appreciated lottery incentives for adhering to program requirements; however, many were too far along in their disease progression to benefit from the intervention. Clinicians found the amount and frequency of electronic alerts burdensome and felt they did not improve patient outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02708654.
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Affiliation(s)
- Tamar Klaiman
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA.
| | - L G Iannotte
- The Lake Erie School of Osteopathic Medicine, Erie, USA
| | - Michael Josephs
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Louise B Russell
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
- Rutgers University, New Jersey, USA
| | - Laurie Norton
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Shivan Mehta
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Andrea Troxel
- New York University, Grossman School of Medicine, New York, USA
| | - Jingsan Zhu
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - Kevin Volpp
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
| | - David A Asch
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, USA
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Kerwagen F, Koehler K, Vettorazzi E, Stangl V, Koehler M, Halle M, Koehler F, Störk S. Remote patient management of heart failure across the ejection fraction spectrum: A pre-specified analysis of the TIM-HF2 trial. Eur J Heart Fail 2023; 25:1671-1681. [PMID: 37368507 DOI: 10.1002/ejhf.2948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/27/2023] [Accepted: 06/20/2023] [Indexed: 06/29/2023] Open
Abstract
AIMS The benefit of non-invasive remote patient management (RPM) for patients with heart failure (HF) has been demonstrated. We evaluated the effect of left ventricular ejection fraction (LVEF) on treatment outcomes in the TIM-HF2 (Telemedical Interventional Management in Heart Failure II; NCT01878630) randomized trial. METHODS AND RESULTS TIM-HF2 was a prospective, randomized, multicentre trial investigating the effect of a structured RPM intervention versus usual care in patients who had been hospitalized for HF within 12 months before randomization. The primary endpoint was the percentage of days lost due to all-cause death or unplanned cardiovascular hospitalization. Key secondary endpoints were all-cause and cardiovascular mortality. Outcomes were assessed by LVEF in guideline-defined subgroups of ≤40% (HF with reduced EF [HFrEF]), 41-49% (HF with mildly reduced EF [HFmrEF]), and ≥50% (HF with preserved EF [HFpEF]). Out of 1538 participants, 818 (53%) had HFrEF, 224 (15%) had HFmrEF, and 496 (32%) had HFpEF. Within each LVEF subgroup, the primary endpoint was lower in the treatment group, i.e. the incidence rate ratio [IRR] remained below 1.0. Comparing intervention and control group, the percentage of days lost was 5.4% versus 7.6% for HFrEF (IRR 0.72, 95% confidence interval [CI] 0.54-0.97), 3.3% versus 5.9% for HFmrEF (IRR 0.85, 95% CI 0.48-1.50) and 4.7% versus 5.4% for HFpEF (IRR 0.93, 95% CI 0.64-1.36). No interaction between LVEF and the randomized group became apparent. All-cause and cardiovascular mortality were also reduced by RPM in each subgroup with hazard ratios <1.0 across the LVEF spectrum for both endpoints. CONCLUSION In the clinical set-up deployed in the TIM-HF2 trial, RPM appeared effective irrespective of the LVEF-based HF phenotype.
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Affiliation(s)
- Fabian Kerwagen
- Department of Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany
- Department of Medicine I, Cardiology, University Hospital Würzburg, Würzburg, Germany
| | - Kerstin Koehler
- Centre for Cardiovascular Telemedicine, Campus Charité Mitte, German Heart Center Charité, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Berlin, Germany
| | - Eik Vettorazzi
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Verena Stangl
- German Center for Cardiovascular Research (DZHK), Berlin, Germany
- Department of Cardiology, Angiology and Intensive Care, Campus Charité Mitte, German Heart Center Charité, Berlin, Germany
| | - Magdalena Koehler
- Ludwig-Maximilians Universität München, Munich, Germany
- Department of Preventive Sports Medicine and Sports Cardiology, University Hospital 'Klinikum rechts der Isar', School of Medicine, Technical University Munich, Munich, Germany
| | - Martin Halle
- Department of Preventive Sports Medicine and Sports Cardiology, University Hospital 'Klinikum rechts der Isar', School of Medicine, Technical University Munich, Munich, Germany
| | - Friedrich Koehler
- Centre for Cardiovascular Telemedicine, Campus Charité Mitte, German Heart Center Charité, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Berlin, Germany
| | - Stefan Störk
- Department of Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany
- Department of Medicine I, Cardiology, University Hospital Würzburg, Würzburg, Germany
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10
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Olson M, Thompson Z, Xie L, Nair A. Broadening Heart Failure Care Beyond Cardiology: Challenges and Successes Within the Landscape of Multidisciplinary Heart Failure Care. Curr Cardiol Rep 2023; 25:851-861. [PMID: 37436647 DOI: 10.1007/s11886-023-01907-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/13/2023] [Indexed: 07/13/2023]
Abstract
PURPOSE OF REVIEW Heart failure (HF) is a growing public health concern that impairs the quality of life and is associated with significant mortality. As the prevalence of heart failure increases, multidisciplinary care is essential to provide comprehensive care to individuals. RECENT FINDINGS The challenges of implementing an effective multidisciplinary care team can be daunting. Effective multidisciplinary care begins at the initial diagnosis of heart failure. The transition of care from the inpatient to the outpatient setting is critically important. The use of home visits, case management, and multidisciplinary clinics has been shown to decrease mortality and heart failure hospitalizations, and major society guidelines endorse multidisciplinary care for heart failure patients. Expanding heart failure care beyond cardiology entails incorporating primary care, advanced practice providers, and other disciplines. Patient education and self-management are fundamental to multidisciplinary care, as is a holistic approach to effectively address comorbid conditions. Ongoing challenges include navigating social disparities within heart failure care and limiting the economic burden of the disease.
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Affiliation(s)
- Michael Olson
- Baylor College of Medicine, 7200 Cambridge St, Ste 6C, Houston, TX, 77030, USA
| | - Zachary Thompson
- Baylor College of Medicine, 7200 Cambridge St, Ste 6C, Houston, TX, 77030, USA
| | - Lola Xie
- Baylor College of Medicine, 7200 Cambridge St, Ste 6C, Houston, TX, 77030, USA
- The Texas Heart Institute, Cardiology, Houston, TX, 77030, USA
| | - Ajith Nair
- Baylor College of Medicine, 7200 Cambridge St, Ste 6C, Houston, TX, 77030, USA.
- The Texas Heart Institute, Cardiology, Houston, TX, 77030, USA.
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Krychtiuk KA, Ahrens I, Drexel H, Halvorsen S, Hassager C, Huber K, Kurpas D, Niessner A, Schiele F, Semb AG, Sionis A, Claeys MJ, Barrabes J, Montero S, Sinnaeve P, Pedretti R, Catapano A. Acute LDL-C reduction post ACS: strike early and strike strong: from evidence to clinical practice. A clinical consensus statement of the Association for Acute CardioVascular Care (ACVC), in collaboration with the European Association of Preventive Cardiology (EAPC) and the European Society of Cardiology Working Group on Cardiovascular Pharmacotherapy. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2022; 11:939-949. [PMID: 36574353 DOI: 10.1093/ehjacc/zuac123] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 10/02/2022] [Indexed: 12/28/2022]
Abstract
After experiencing an acute coronary syndrome (ACS), patients are at a high risk of suffering from recurrent ischaemic cardiovascular events, especially in the very early phase. Low density lipoprotein-cholesterol (LDL-C) is causally involved in atherosclerosis and a clear, monotonic relationship between pharmacologic LDL-C lowering and a reduction in cardiovascular events post-ACS has been shown, a concept termed 'the lower, the better'. Current ESC guidelines suggest an LDL-C guided, step-wise initiation and escalation of lipid-lowering therapy (LLT). Observational studies consistently show low rates of guideline-recommended LLT adaptions and concomitant low rates of LDL-C target goal achievement, leaving patients at residual risk, especially in the vulnerable post-ACS phase. In addition to the well-established 'the lower, the better' approach, a 'strike early and strike strong' approach in the early post-ACS phase with upfront initiation of a combined lipid-lowering approach using high-intensity statins and ezetimibe seems reasonable. We discuss the rationale, clinical trial evidence and experience for such an approach and highlight existing knowledge gaps. In addition, the concept of acute initiation of PCSK9 inhibition in the early phase is reviewed. Ultimately, we focus on hurdles and solutions to provide high-quality, evidence-based follow-up care in post-ACS patients.
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Affiliation(s)
- Konstantin A Krychtiuk
- Department of Internal Medicine II-Division of Cardiology, Medical University of Vienna, 1180 Vienna, Austria.,Duke Clinical Research Institute, Durham, NC 27701, USA
| | - Ingo Ahrens
- Department of Cardiology and Medical Intensive Care, Augustinerinnen Hospital Cologne, Academic Teaching Hospital University of Cologne, 50678 Cologne, Germany
| | - Heinz Drexel
- Vorarlberg Institute for Vascular Investigation and Treatment (VIVIT), Carinagasse 47, AT-6800 Feldkirch, Austria.,Private University of the Principality of Liechtenstein, Dorfstrasse 24, FL-9495 Triesen, Liechtenstein.,Department of Medicine I, Academic Teaching Hospital Feldkirch, Carinagasse 47, AT-6800 Feldkirch, Austria
| | - Sigrun Halvorsen
- Institute of Clinical Medicine, University of Oslo, 0372 Oslo, Norway.,Department of Cardiology, Oslo University Hospital Ullevål, Oslo, Norway
| | - Christian Hassager
- Department of Cardiology, Rigshospitalet and Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Kurt Huber
- 3rd Department of Internal Medicine, Cardiology and Intensive Care Unit, Wilhelminenhospital, 1160 Vienna, Austria.,Ludwig Boltzmann Institute for Cardiovascular Research, 1090 Vienna, Austria.,Medical School, Sigmund Freud University, 1020 Vienna, Austria
| | - Donata Kurpas
- Family Medicine Department, Wroclaw Medical University, 50-367 Wroclaw, Poland
| | - Alexander Niessner
- Department of Internal Medicine II-Division of Cardiology, Medical University of Vienna, 1180 Vienna, Austria
| | - Francois Schiele
- Department of Cardiology, University Hospital Besancon, University of Franche-Comté, France and EA3920, Besancon, France
| | - Anne Grete Semb
- Preventive Cardio-Rheuma Clinic, Department of Rheumatology, Division of Innovation and Research, Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway
| | - Alessandro Sionis
- Intensive Cardiac Care Unit, Cardiology Department, Hospital de Sant Pau, IIB-Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,CIBER-CV, Centro de investigación Biomédica en Red de Enfermedades Cardiovasculares, 28029 Madrid, Spain
| | - Marc J Claeys
- Department of Cardiology, Antwerp University Hospital, 2650 Edegem, Belgium
| | - José Barrabes
- Acute Cardiac Care Unit, Cardiology Service, Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Barcelona, Spain.,CIBERC-V, Centro de investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Santiago Montero
- Acute Cardiovascular Care Unit, Cardiology, Hospital Germans Trias i Pujol. Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Peter Sinnaeve
- Department of Cardiology, University Hospital Leuven, Leuven, Belgium
| | - Roberto Pedretti
- Director of Cardiovascular Department, Head of Cardiology Unit, IRCCS MultiMedica, Milan, Italy
| | - Alberico Catapano
- Professor of Pharmacology, Director Center of Epidemiology and Preventive Pharmacology, Director Laboratory of Lipoproteins, Immunity and Atherosclerosis Department of Pharmacological and Biomolecular Sciences Director Center for the Study of Atherosclerosis at Bassini Hospital University of Milan, Milan, Italy
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12
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Bressman E, Long JA, Honig K, Zee J, McGlaughlin N, Jointer C, Asch DA, Burke RE, Morgan AU. Evaluation of an Automated Text Message-Based Program to Reduce Use of Acute Health Care Resources After Hospital Discharge. JAMA Netw Open 2022; 5:e2238293. [PMID: 36287564 PMCID: PMC9606844 DOI: 10.1001/jamanetworkopen.2022.38293] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Posthospital contact with a primary care team is an established pillar of safe transitions. The prevailing model of telephone outreach is usually limited in scope and operationally burdensome. OBJECTIVE To determine whether a 30-day automated texting program to support primary care patients after hospital discharge is associated with reductions in the use of acute care resources. DESIGN, SETTING, AND PARTICIPANTS This cohort study used a difference-in-differences approach at 2 academic primary care practices in Philadelphia from January 27 through August 27, 2021. Established patients of the study practices who were 18 years or older, were discharged from an acute care hospitalization, and received the usual transitional care management telephone call were eligible for the study. At the intervention practice, 604 discharges were eligible and 430 (374 patients, of whom 46 had >1 discharge) were enrolled in the intervention. At the control practice, 953 patients met eligibility criteria. The study period, including before and after the intervention, ran from August 27, 2020, through August 27, 2021. EXPOSURE Patients received automated check-in text messages from their primary care practice on a tapering schedule during the 30 days after discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. MAIN OUTCOMES AND MEASURES The primary study outcome was any emergency department (ED) visit or readmission within 30 days of discharge. Secondary outcomes included any ED visit or any readmission within 30 days, analyzed separately, and 30- and 60-day mortality. Analyses were based on intention to treat. RESULTS A total of 1885 patients (mean [SD] age, 63.2 [17.3] years; 1101 women [58.4%]) representing 2617 discharges (447 before and 604 after the intervention at the intervention practice; 613 before and 953 after the intervention at the control practice) were included in the analysis. The adjusted odds ratio (aOR) for any use of acute care resources after implementation of the intervention was 0.59 (95% CI, 0.38-0.92). The aOR for an ED visit was 0.77 (95% CI, 0.45-1.30) and for a readmission was 0.45 (95% CI, 0.23-0.86). The aORs for death within 30 and 60 days of discharge at the intervention practice were 0.92 (95% CI, 0.23-3.61) and 0.63 (95% CI, 0.21-1.85), respectively. CONCLUSIONS AND RELEVANCE The findings of this cohort study suggest that an automated texting program to support primary care patients after hospital discharge was associated with significant reductions in use of acute care resources. This patient-centered approach may serve as a model for improving postdischarge care.
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Affiliation(s)
- Eric Bressman
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Judith A. Long
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Katherine Honig
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jarcy Zee
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology, and Informatics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Nancy McGlaughlin
- Primary Care Service Line, University of Pennsylvania Health System, Philadelphia
| | - Carlondra Jointer
- Primary Care Service Line, University of Pennsylvania Health System, Philadelphia
| | - David A. Asch
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia
| | - Robert E. Burke
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Anna U. Morgan
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
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13
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Berman AN, Wasfy JH. Translating Clinical Guidelines Into Care Delivery Innovation: The Importance of Rigorous Methods for Generating Evidence. J Am Heart Assoc 2022; 11:e026677. [PMID: 35766287 PMCID: PMC9333392 DOI: 10.1161/jaha.122.026677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital Harvard Medical School Boston MA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital Harvard Medical School Boston MA
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14
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Yao X, Paulson M, Maniaci MJ, Dunn AN, Nelson CR, Behnken EM, Hart MS, Sangaralingham LR, Inselman SA, Lampman MA, Dunlay SM, Dowdy SC, Habermann EB. Effect of hospital-at-home vs. traditional brick-and-mortar hospital care in acutely ill adults: study protocol for a pragmatic randomized controlled trial. Trials 2022; 23:503. [PMID: 35710450 PMCID: PMC9201794 DOI: 10.1186/s13063-022-06430-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Delivering acute hospital care to patients at home might reduce costs and improve patient experience. Mayo Clinic's Advanced Care at Home (ACH) program is a novel virtual hybrid model of "Hospital at Home." This pragmatic randomized controlled non-inferiority trial aims to compare two acute care delivery models: ACH vs. traditional brick-and-mortar hospital care in acutely ill patients. METHODS We aim to enroll 360 acutely ill adult patients (≥18 years) who are admitted to three hospitals in Arizona, Florida, and Wisconsin, two of which are academic medical centers and one is a community-based practice. The eligibility criteria will follow what is used in routine practice determined by local clinical teams, including clinical stability, social stability, health insurance plans, and zip codes. Patients will be randomized 1:1 to ACH or traditional inpatient care, stratified by site. The primary outcome is a composite outcome of all-cause mortality and 30-day readmission. Secondary outcomes include individual outcomes in the composite endpoint, fall with injury, medication errors, emergency room visit, transfer to intensive care unit (ICU), cost, the number of days alive out of hospital, and patient-reported quality of life. A mixed-methods study will be conducted with patients, clinicians, and other staff to investigate their experience. DISCUSSION The pragmatic trial will examine a novel virtual hybrid model for delivering high-acuity medical care at home. The findings will inform patient selection and future large-scale implementation. TRIAL REGISTRATION ClinicalTrials.gov NCT05212077. Registered on 27 January 2022.
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Affiliation(s)
- Xiaoxi Yao
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. .,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Margaret Paulson
- Division of Hospital Internal Medicine, Mayo Clinic Health Systems, Eau Claire, WI, USA
| | - Michael J Maniaci
- Division of Hospital Internal Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Ajani N Dunn
- Administrative Operations, Mayo Clinic, Jacksonville, FL, USA
| | - Chad R Nelson
- Division of Hospital Internal Medicine, Mayo Clinic, Phoenix, AZ, USA
| | - Emma M Behnken
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA
| | - Melissa S Hart
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Lindsey R Sangaralingham
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Shealeigh A Inselman
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Michelle A Lampman
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Shannon M Dunlay
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sean C Dowdy
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Elizabeth B Habermann
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
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