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Zhao Z, Liu P, Jin J, Wang W. Effects of non-drug interventions on anxiety and depression in patients with heart failure: A systematic review based on Bayesian network meta-analysis. J Psychiatr Res 2023; 161:348-357. [PMID: 37004407 DOI: 10.1016/j.jpsychires.2023.02.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/12/2023] [Accepted: 02/28/2023] [Indexed: 04/04/2023]
Abstract
BACKGROUND To discuss the effect of non-drug interventions on anxiety and depression in patients with heart failure (HF) through Bayesian network meta-analysis. METHODS Relevant literature was searched from PubMed, Web of Science, Embase and Medline from database establishment to October 2022 by a computer. Next, a screening was performed on randomized controlled trials (RCTs) for the effect of non-drug interventions on anxiety and depression in HF patients, followed by a collection of the related data. This meta-analysis was conducted based on Bayesian network, and the statistical analysis was conducted using R4.2 software. RESULTS A total of 23 papers were enrolled into this study. The results of Bayesian network meta-analysis showed that compared with the control group and the structured video conferencing support (SVCS) group, telephone case management (TCM) could effectively reduce the anxiety and depression of HF patients. The ranking results revealed that TCM may be the most effective intervention to lower the risk of depression in HF patients, followed by Tai Chi Chuan and Chi Kung training (TCC) and structured telephone support (STS). CONCLUSION TCM is the most effective intervention to prevent HF patients from anxiety and depression.
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Affiliation(s)
- Zhiying Zhao
- Department of Geriatrics, Sichuan Provincial People's Hospital, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Peng Liu
- Department of Geriatrics, Sichuan Provincial People's Hospital, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Jing Jin
- Department of Geriatrics, Sichuan Provincial People's Hospital, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
| | - Wenyan Wang
- Department of Heart Failure Center, Sichuan Provincial People's Hospital, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China.
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Perera R, Stevens R, Aronson JK, Banerjee A, Evans J, Feakins BG, Fleming S, Glasziou P, Heneghan C, Hobbs FDR, Jones L, Kurtinecz M, Lasserson DS, Locock L, McLellan J, Mihaylova B, O’Callaghan CA, Oke JL, Pidduck N, Plüddemann A, Roberts N, Schlackow I, Shine B, Simons CL, Taylor CJ, Taylor KS, Verbakel JY, Bankhead C. Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme. PROGRAMME GRANTS FOR APPLIED RESEARCH 2021. [DOI: 10.3310/pgfar09100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background
Long-term monitoring is important in chronic condition management. Despite considerable costs of monitoring, there is no or poor evidence on how, what and when to monitor. The aim of this study was to improve understanding, methods, evidence base and practice of clinical monitoring in primary care, focusing on two areas: chronic kidney disease and chronic heart failure.
Objectives
The research questions were as follows: does the choice of test affect better care while being affordable to the NHS? Can the number of tests used to manage individuals with early-stage kidney disease, and hence the costs, be reduced? Is it possible to monitor heart failure using a simple blood test? Can this be done using a rapid test in a general practitioner consultation? Would changes in the management of these conditions be acceptable to patients and carers?
Design
Various study designs were employed, including cohort, feasibility study, Clinical Practice Research Datalink analysis, seven systematic reviews, two qualitative studies, one cost-effectiveness analysis and one cost recommendation.
Setting
This study was set in UK primary care.
Data sources
Data were collected from study participants and sourced from UK general practice and hospital electronic health records, and worldwide literature.
Participants
The participants were NHS patients (Clinical Practice Research Datalink: 4.5 million patients), chronic kidney disease and chronic heart failure patients managed in primary care (including 750 participants in the cohort study) and primary care health professionals.
Interventions
The interventions were monitoring with blood and urine tests (for chronic kidney disease) and monitoring with blood tests and weight measurement (for chronic heart failure).
Main outcome measures
The main outcomes were the frequency, accuracy, utility, acceptability, costs and cost-effectiveness of monitoring.
Results
Chronic kidney disease: serum creatinine testing has increased steadily since 1997, with most results being normal (83% in 2013). Increases in tests of creatinine and proteinuria correspond to their introduction as indicators in the Quality and Outcomes Framework. The Chronic Kidney Disease Epidemiology Collaboration equation had 2.7% greater accuracy (95% confidence interval 1.6% to 3.8%) than the Modification of Diet in Renal Disease equation for estimating glomerular filtration rate. Estimated annual transition rates to the next chronic kidney disease stage are ≈ 2% for people with normal urine albumin, 3–5% for people with microalbuminuria (3–30 mg/mmol) and 3–12% for people with macroalbuminuria (> 30 mg/mmol). Variability in estimated glomerular filtration rate-creatinine leads to misclassification of chronic kidney disease stage in 12–15% of tests in primary care. Glycaemic-control and lipid-modifying drugs are associated with a 6% (95% confidence interval 2% to 10%) and 4% (95% confidence interval 0% to 8%) improvement in renal function, respectively. Neither estimated glomerular filtration rate-creatinine nor estimated glomerular filtration rate-Cystatin C have utility in predicting rate of kidney function change. Patients viewed phrases such as ‘kidney damage’ or ‘kidney failure’ as frightening, and the term ‘chronic’ was misinterpreted as serious. Diagnosis of asymptomatic conditions (chronic kidney disease) was difficult to understand, and primary care professionals often did not use ‘chronic kidney disease’ when managing patients at early stages. General practitioners relied on Clinical Commissioning Group or Quality and Outcomes Framework alerts rather than National Institute for Health and Care Excellence guidance for information. Cost-effectiveness modelling did not demonstrate a tangible benefit of monitoring kidney function to guide preventative treatments, except for individuals with an estimated glomerular filtration rate of 60–90 ml/minute/1.73 m2, aged < 70 years and without cardiovascular disease, where monitoring every 3–4 years to guide cardiovascular prevention may be cost-effective. Chronic heart failure: natriuretic peptide-guided treatment could reduce all-cause mortality by 13% and heart failure admission by 20%. Implementing natriuretic peptide-guided treatment is likely to require predefined protocols, stringent natriuretic peptide targets, relative targets and being located in a specialist heart failure setting. Remote monitoring can reduce all-cause mortality and heart failure hospitalisation, and could improve quality of life. Diagnostic accuracy of point-of-care N-terminal prohormone of B-type natriuretic peptide (sensitivity, 0.99; specificity, 0.60) was better than point-of-care B-type natriuretic peptide (sensitivity, 0.95; specificity, 0.57). Within-person variation estimates for B-type natriuretic peptide and weight were as follows: coefficient of variation, 46% and coefficient of variation, 1.2%, respectively. Point-of-care N-terminal prohormone of B-type natriuretic peptide within-person variability over 12 months was 881 pg/ml (95% confidence interval 380 to 1382 pg/ml), whereas between-person variability was 1972 pg/ml (95% confidence interval 1525 to 2791 pg/ml). For individuals, monitoring provided reassurance; future changes, such as increased testing, would be acceptable. Point-of-care testing in general practice surgeries was perceived positively, reducing waiting time and anxiety. Community heart failure nurses had greater knowledge of National Institute for Health and Care Excellence guidance than general practitioners and practice nurses. Health-care professionals believed that the cost of natriuretic peptide tests in routine monitoring would outweigh potential benefits. The review of cost-effectiveness studies suggests that natriuretic peptide-guided treatment is cost-effective in specialist settings, but with no evidence for its value in primary care settings.
Limitations
No randomised controlled trial evidence was generated. The pathways to the benefit of monitoring chronic kidney disease were unclear.
Conclusions
It is difficult to ascribe quantifiable benefits to monitoring chronic kidney disease, because monitoring is unlikely to change treatment, especially in chronic kidney disease stages G3 and G4. New approaches to monitoring chronic heart failure, such as point-of-care natriuretic peptide tests in general practice, show promise if high within-test variability can be overcome.
Future work
The following future work is recommended: improve general practitioner–patient communication of early-stage renal function decline, and identify strategies to reduce the variability of natriuretic peptide.
Study registration
This study is registered as PROSPERO CRD42015017501, CRD42019134922 and CRD42016046902.
Funding
This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 9, No. 10. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Rafael Perera
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Richard Stevens
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Jeffrey K Aronson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Amitava Banerjee
- Institute of Health Informatics, University College London, London, UK
| | - Julie Evans
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Benjamin G Feakins
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Susannah Fleming
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Paul Glasziou
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences & Medicine, Bond University, Gold Coast, QLD, Australia
| | - Carl Heneghan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - FD Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Louise Jones
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Milena Kurtinecz
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Daniel S Lasserson
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Louise Locock
- Health Services Research Unit, University of Aberdeen, Aberdeen, UK
| | - Julie McLellan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Borislava Mihaylova
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Institute of Population Health Sciences, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | | | - Jason L Oke
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Nicola Pidduck
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Annette Plüddemann
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Nia Roberts
- Bodleian Health Care Libraries, Knowledge Centre, University of Oxford, Oxford, UK
| | - Iryna Schlackow
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Brian Shine
- Department of Clinical Biochemistry, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Claire L Simons
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Clare J Taylor
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Kathryn S Taylor
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Jan Y Verbakel
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
- National Institute for Health Research (NIHR) Community Healthcare MedTech and In Vitro Diagnostics Co-operative (MIC), Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Clare Bankhead
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
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Veenis JF, Radhoe SP, Hooijmans P, Brugts JJ. Remote Monitoring in Chronic Heart Failure Patients: Is Non-Invasive Remote Monitoring the Way to Go? SENSORS (BASEL, SWITZERLAND) 2021; 21:887. [PMID: 33525556 PMCID: PMC7865348 DOI: 10.3390/s21030887] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/20/2021] [Accepted: 01/25/2021] [Indexed: 11/16/2022]
Abstract
Heart failure (HF) is a major health care issue, and the incidence of HF is only expected to grow further. Due to the frequent hospitalizations, HF places a major burden on the available hospital and healthcare resources. In the future, HF care should not only be organized solely at the clinical ward and outpatient clinics, but remote monitoring strategies are urgently needed to guide, monitor, and treat chronic HF patients remotely from their homes as well. The intuitiveness and relatively low costs of non-invasive remote monitoring tools make them an appealing and emerging concept for developing new medical apps and devices. The recent COVID-19 pandemic and the associated transition of patient care outside the hospital will boost the development of remote monitoring tools, and many strategies will be reinvented with modern tools. However, it is important to look carefully at the inconsistencies that have been reported in non-invasive remote monitoring effectiveness. With this review, we provide an up-to-date overview of the available evidence on non-invasive remote monitoring in chronic HF patients and provide future perspectives that may significantly benefit the broader group of HF patients.
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Affiliation(s)
- Jesse F. Veenis
- Erasmus MC, University Medical Center Rotterdam, Thorax Center, Department of Cardiology, 3000 Rotterdam, The Netherlands; (S.P.R.); (P.H.); (J.J.B.)
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Time-Driven Activity-Based Costing of Emergency Department Postdischarge Nurse Calls. J Healthc Manag 2020; 65:419-428. [PMID: 33186257 DOI: 10.1097/jhm-d-19-00128] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
EXECUTIVE SUMMARY Postdischarge telephone calls by nurses can decrease patient return rates to healthcare systems. To date, call program costs have not been compared with patient return rates to determine cost-effectiveness. We used time-driven activity-based costing to determine the costs associated with such programs. We developed process maps for a postdischarge nurse call program in the emergency department of an urban, quaternary care, academic, Level 1 trauma center. Our primary outcome was the total cost of calls, which is based on the length of the calls (after 8 hours of observation) and the total capacity rate cost based on national registered nurse salary and space costs. Seven-day return rate differences between patients reached and those not reached from July 2018 to March 2019 were determined with a Z-test. We observed 113 postdischarge calls for 79 patients. The mean (SD) length of calls for patients reached was 4.3 minutes (1.8) compared with 2.6 minutes (0.6) for those not reached. The total capacity rate cost for calls was $1.09/minute, or $4.69 per patient reached and $2.83 per patient not reached. A retrospective analysis of 6,698 patients reached and 6,519 patients not reached showed hospital return rates of 3.5% and 6.3% (p < .0001), respectively. The study findings show that postdischarge calls were associated with decreased return rates to the emergency department and a savings of $134.89 per prevention of one return. In deciding whether to use postdischarge call programs, healthcare systems should also consider the effects on specific demographics and the potential benefits of greater patient satisfaction and increased treatment adherence.
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Li Y, Fu MR, Luo B, Li M, Zheng H, Fang J. The Effectiveness of Transitional Care Interventions on Health Care Utilization in Patients Discharged From the Hospital With Heart Failure: A Systematic Review and Meta-Analysis. J Am Med Dir Assoc 2020; 22:621-629. [PMID: 33158744 DOI: 10.1016/j.jamda.2020.09.019] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 09/08/2020] [Accepted: 09/14/2020] [Indexed: 02/08/2023]
Abstract
OBJECTIVES Heart failure (HF) heavily burdens the global health system. Transitional care interventions attempt to streamline the hospital-to-home transition to ease the burden. This systematic review and meta-analysis aimed to evaluate the effectiveness of transitional care interventions on health care utilization after hospitalization for HF. DESIGN Systematic review and meta-analysis including dose-response relationship. SETTING AND PARTICIPANTS Randomized controlled trials (RCTs) of transitional care interventions vs usual care in older patients discharged from the hospital with HF. METHODS Electronic databases including MEDLINE, Embase, Cochrane Library, and CINAHL, were systematically searched from January 2009 to October 2019 to locate relevant systematic reviews or meta-analyses. The original RCTs included in the review articles were identified, and an additional search for recently published RCTs was performed from January 2014 to June 2020. This systematic review focused on health care utilization outcomes, including hospital readmissions for HF or any cause, emergency department (ED) visits, and length of hospital stay (LOS). RESULTS Data were summarized from 38 RCTs covering 10,871 patients. Pooled evidence suggested a mean 11% [risk ratio (RR) 0.89, 95% confidence interval (CI) 0.82, 0.97] and 22% (RR 0.78, 95% CI 0.68, 0.89) risk reduction on all-cause and HF-specific readmissions, but no significant reduction (RR 0.94, 95% CI 0.83, 1.07) on ED visits. Findings were mixed for LOS. Subgroup analysis by different types of transitional care interventions indicated that multidisciplinary interventions currently have the best evidence for reducing readmissions up to 6 months post the index HF hospitalization. In addition, we observed an inverse linear dose-response relationship between intervention intensity (ie, frequency and duration of interventions) and complexity (ie, number of intervention components) and the risk of HF readmissions. CONCLUSIONS AND IMPLICATIONS Transitional care interventions for hospitalized patients with HF reduced all-cause and HF-specific readmissions, but did not decrease ED visits. Multidisciplinary interventions are highly recommended if adequate resources are available.
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Affiliation(s)
- Yuan Li
- West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Mei R Fu
- William F. Connell School of Nursing, Boston College, Chestnut Hill, MA, USA
| | - Biru Luo
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China; Nursing Department, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Minlu Li
- West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China
| | - Hong Zheng
- Nursing Department, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jinbo Fang
- West China Hospital/West China School of Nursing, Sichuan University, Chengdu, China.
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Abstract
BACKGROUND Despite advances in treatment, the increasing and ageing population makes heart failure an important cause of morbidity and death worldwide. It is associated with high healthcare costs, partly driven by frequent hospital readmissions. Disease management interventions may help to manage people with heart failure in a more proactive, preventative way than drug therapy alone. This is the second update of a review published in 2005 and updated in 2012. OBJECTIVES To compare the effects of different disease management interventions for heart failure (which are not purely educational in focus), with usual care, in terms of death, hospital readmissions, quality of life and cost-related outcomes. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and CINAHL for this review update on 9 January 2018 and two clinical trials registries on 4 July 2018. We applied no language restrictions. SELECTION CRITERIA We included randomised controlled trials (RCTs) with at least six months' follow-up, comparing disease management interventions to usual care for adults who had been admitted to hospital at least once with a diagnosis of heart failure. There were three main types of intervention: case management; clinic-based interventions; multidisciplinary interventions. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. Outcomes of interest were mortality due to heart failure, mortality due to any cause, hospital readmission for heart failure, hospital readmission for any cause, adverse effects, quality of life, costs and cost-effectiveness. MAIN RESULTS We found 22 new RCTs, so now include 47 RCTs (10,869 participants). Twenty-eight were case management interventions, seven were clinic-based models, nine were multidisciplinary interventions, and three could not be categorised as any of these. The included studies were predominantly in an older population, with most studies reporting a mean age of between 67 and 80 years. Seven RCTs were in upper-middle-income countries, the rest were in high-income countries.Only two multidisciplinary-intervention RCTs reported mortality due to heart failure. Pooled analysis gave a risk ratio (RR) of 0.46 (95% confidence interval (CI) 0.23 to 0.95), but the very low-quality evidence means we are uncertain of the effect on mortality due to heart failure. Based on this limited evidence, the number needed to treat for an additional beneficial outcome (NNTB) is 12 (95% CI 9 to 126).Twenty-six case management RCTs reported all-cause mortality, with low-quality evidence indicating that these may reduce all-cause mortality (RR 0.78, 95% CI 0.68 to 0.90; NNTB 25, 95% CI 17 to 54). We pooled all seven clinic-based studies, with low-quality evidence suggesting they may make little to no difference to all-cause mortality. Pooled analysis of eight multidisciplinary studies gave moderate-quality evidence that these probably reduce all-cause mortality (RR 0.67, 95% CI 0.54 to 0.83; NNTB 17, 95% CI 12 to 32).We pooled data on heart failure readmissions from 12 case management studies. Moderate-quality evidence suggests that they probably reduce heart failure readmissions (RR 0.64, 95% CI 0.53 to 0.78; NNTB 8, 95% CI 6 to 13). We were able to pool only two clinic-based studies, and the moderate-quality evidence suggested that there is probably little or no difference in heart failure readmissions between clinic-based interventions and usual care (RR 1.01, 95% CI 0.87 to 1.18). Pooled analysis of five multidisciplinary interventions gave low-quality evidence that these may reduce the risk of heart failure readmissions (RR 0.68, 95% CI 0.50 to 0.92; NNTB 11, 95% CI 7 to 44).Meta-analysis of 14 RCTs gave moderate-quality evidence that case management probably slightly reduces all-cause readmissions (RR 0.92, 95% CI 0.83 to 1.01); a decrease from 491 to 451 in 1000 people (95% CI 407 to 495). Pooling four clinic-based RCTs gave low-quality and somewhat heterogeneous evidence that these may result in little or no difference in all-cause readmissions (RR 0.90, 95% CI 0.72 to 1.12). Low-quality evidence from five RCTs indicated that multidisciplinary interventions may slightly reduce all-cause readmissions (RR 0.85, 95% CI 0.71 to 1.01); a decrease from 450 to 383 in 1000 people (95% CI 320 to 455).Neither case management nor clinic-based intervention RCTs reported adverse effects. Two multidisciplinary interventions reported that no adverse events occurred. GRADE assessment of moderate quality suggested that there may be little or no difference in adverse effects between multidisciplinary interventions and usual care.Quality of life was generally poorly reported, with high attrition. Low-quality evidence means we are uncertain about the effect of case management and multidisciplinary interventions on quality of life. Four clinic-based studies reported quality of life but we could not pool them due to differences in reporting. Low-quality evidence indicates that clinic-based interventions may result in little or no difference in quality of life.Four case management programmes had cost-effectiveness analyses, and seven reported cost data. Low-quality evidence indicates that these may reduce costs and may be cost-effective. Two clinic-based studies reported cost savings. Low-quality evidence indicates that clinic-based interventions may reduce costs slightly. Low-quality data from one multidisciplinary intervention suggested this may be cost-effective from a societal perspective but less so from a health-services perspective. AUTHORS' CONCLUSIONS We found limited evidence for the effect of disease management programmes on mortality due to heart failure, with few studies reporting this outcome. Case management may reduce all-cause mortality, and multidisciplinary interventions probably also reduce all-cause mortality, but clinic-based interventions had little or no effect on all-cause mortality. Readmissions due to heart failure or any cause were probably reduced by case-management interventions. Clinic-based interventions probably make little or no difference to heart failure readmissions and may result in little or no difference in readmissions for any cause. Multidisciplinary interventions may reduce the risk of readmission for heart failure or for any cause. There was a lack of evidence for adverse effects, and conclusions on quality of life remain uncertain due to poor-quality data. Variations in study location and time of occurrence hamper attempts to review costs and cost-effectiveness.The potential to improve quality of life is an important consideration but remains poorly reported. Improved reporting in future trials would strengthen the evidence for this patient-relevant outcome.
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Affiliation(s)
- Andrea Takeda
- University College LondonInstitute of Health Informatics ResearchLondonUK
| | - Nicole Martin
- University College LondonInstitute of Health Informatics ResearchLondonUK
| | - Rod S Taylor
- University of Exeter Medical SchoolInstitute of Health ResearchSouth Cloisters, St Luke's Campus, Heavitree RoadExeterUKEX2 4SG
| | - Stephanie JC Taylor
- Barts and The London School of Medicine and Dentistry, Queen Mary University of LondonCentre for Primary Care and Public Health and Asthma UK Centre for Applied ResearchYvonne Carter Building58 Turner StreetLondonUKE1 2AB
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Penney LS, Nahid M, Leykum LK, Lanham HJ, Noël PH, Finley EP, Pugh J. Interventions to reduce readmissions: can complex adaptive system theory explain the heterogeneity in effectiveness? A systematic review. BMC Health Serv Res 2018; 18:894. [PMID: 30477576 PMCID: PMC6260570 DOI: 10.1186/s12913-018-3712-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 11/14/2018] [Indexed: 11/13/2022] Open
Abstract
Background Successfully transitioning patients from hospital to home is a complex, often uncertain task. Despite significant efforts to improve the effectiveness of care transitions, they remain a challenge across health care systems. The lens of complex adaptive systems (CAS) provides a theoretical approach for studying care transition interventions, with potential implications for intervention effectiveness. The aim of this study is to examine whether care transition interventions that are congruent with the complexity of the processes and conditions they are trying to improve will have better outcomes. Methods We identified a convenience sample of high-quality care transition intervention studies included in a care transition synthesis report by Kansagara and colleagues. After excluding studies that did not meet our criteria, we scored each study based on (1) the presence or absence of 5 CAS characteristics (learning, interconnections, self-organization, co-evolution, and emergence), as well as system-level interdependencies (resources and processes) in the intervention design, and (2) scored study readmission-related outcomes for effectiveness. Results Forty-four of the 154 reviewed articles met our inclusion criteria; these studies reported on 46 interventions. Nearly all the interventions involved a change in interconnections between people compared with care as usual (96% of interventions), and added resources (98%) and processes (98%). Most contained elements impacting learning (67%) and self-organization (69%). No intervention reflected either co-evolution or emergence. Almost 40% of interventions were rated as effective in terms of impact on hospital readmissions. Chi square testing for an association between outcomes and CAS characteristics was not significant for learning or self-organization, however interventions rated as effective were significantly more likely to have both of these characteristics (78%) than interventions rated as having no effect (32%, p = 0.005). Conclusions Interventions with components that influenced learning and self-organization were associated with a significant improvement in hospital readmissions-related outcomes. Learning alone might be necessary but not be sufficient for improving transitions. However, building self-organization into the intervention might help people effectively respond to problems and adapt in uncertain situations to reduce the likelihood of readmission. Electronic supplementary material The online version of this article (10.1186/s12913-018-3712-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lauren S Penney
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA. .,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.
| | - Musarrat Nahid
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Luci K Leykum
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,Department of Information, Risk and Operations Management, McCombs School of Business, The University of Texas at Austin, 2110 Speedway Stop B6500, Austin, TX, 78712-1277, USA
| | - Holly Jordan Lanham
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,Department of Information, Risk and Operations Management, McCombs School of Business, The University of Texas at Austin, 2110 Speedway Stop B6500, Austin, TX, 78712-1277, USA.,Department of Family & Community Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Polly H Noël
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Family & Community Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Erin P Finley
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.,Department of Psychiatry, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
| | - Jacqueline Pugh
- South Texas Veterans Health Care System, 7400 Merton Minter Blvd, San Antonio, TX, 78229, USA.,Department of Medicine, The University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA
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Speier W, Dzubur E, Zide M, Shufelt C, Joung S, Van Eyk JE, Bairey Merz CN, Lopez M, Spiegel B, Arnold C. Evaluating utility and compliance in a patient-based eHealth study using continuous-time heart rate and activity trackers. J Am Med Inform Assoc 2018; 25:1386-1391. [PMID: 29850807 PMCID: PMC6188512 DOI: 10.1093/jamia/ocy067] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 04/26/2018] [Accepted: 05/01/2018] [Indexed: 11/12/2022] Open
Abstract
Telemedicine has been used to remotely diagnose and treat patients, yet previously applied telemonitoring approaches have been fraught with adherence issues. The primary goal of this study was to evaluate the adherence rates using a consumer-grade continuous-time heart rate and activity tracker in a mid-risk cardiovascular patient population. As a secondary analysis, we show the ability to utilize the information provided by this device to identify information about a patient's state by correlating tracker information with patient-reported outcome survey scores. We showed that using continuous-time activity trackers with heart rate monitors can be effective in a telemonitoring application, as patients had a high level of adherence (90.0% median usage) and low attrition (0.09% decrease per day) over a 90-day period. Furthermore, data collected correlated significantly with clinically relevant patient surveys (r2=0.15 for PROMIS global health scores, p < .00001), and therefore might provide an effective signal for identifying patients in need of intervention.
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Affiliation(s)
- William Speier
- Medical Imaging and Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA
| | - Eldin Dzubur
- Center for Outcomes Research and Education, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Mary Zide
- Medical Imaging and Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA
| | - Chrisandra Shufelt
- Barbra Streisand Women’s Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA
| | - Sandy Joung
- Barbra Streisand Women’s Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA
| | - Jennifer E Van Eyk
- Barbra Streisand Women’s Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Institute, Los Angeles, California, USA
| | - C Noel Bairey Merz
- Barbra Streisand Women’s Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA
| | - Mayra Lopez
- Center for Outcomes Research and Education, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Brennan Spiegel
- Center for Outcomes Research and Education, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Corey Arnold
- Medical Imaging and Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA
- Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA
- Department of Pathology & Laboratory Medicine, University of California, Los Angeles, Los Angeles, California, USA
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Aronow WS, Shamliyan TA. Comparative Effectiveness of Disease Management With Information Communication Technology for Preventing Hospitalization and Readmission in Adults With Chronic Congestive Heart Failure. J Am Med Dir Assoc 2018; 19:472-479. [PMID: 29730178 DOI: 10.1016/j.jamda.2018.03.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 03/15/2018] [Accepted: 03/16/2018] [Indexed: 12/28/2022]
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10
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Enhanced Transitions of Care: Centralizing Discharge Phone Calls Improves Ability to Reach Patients and Reduces Hospital Readmissions. J Healthc Qual 2017; 39:e10-e21. [PMID: 28146038 DOI: 10.1097/jhq.0000000000000063] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The discharge phone call (DPC) is an important initiative aimed at improving transitions of care and reducing readmissions. It is of added importance as financial penalties will be imposed on hospitals with "excessive" Medicare readmissions. This study examines the impact of DPCs on percentages of patients reached through the DPCs and hospital readmission rates based on the centralized or noncentralized mode of DPCs. METHODS The health system centralized the Studer Group Discharge Phone Call program into one central call center with the goals of reaching more discharged patients and to ultimately reduce hospital readmissions. The study analyzed hospital visits from 74,754 patient admissions that could result in an unplanned hospital readmission. Hospital discharge data were analyzed from August 2010 to January 2014. Primary outcomes included DPCs reaching discharged patients and effects on hospital readmission rates as a result of centralizing the DPC program. RESULTS Centralized DPCs are significantly associated with increases in the percentage of patients reached by the DPC, which in turn reduces readmissions rates. Patients not reached were 1.32 times more likely to be readmitted than patients reached by centralized DPCs. CONCLUSIONS Centralizing the DPC program within a call center helps reach more patients and reduce readmission rates further compared with noncentralized DPCs.
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11
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Knox L, Rahman RJ, Beedie C. Quality of life in patients receiving telemedicine enhanced chronic heart failure disease management: A meta-analysis. J Telemed Telecare 2016; 23:639-649. [PMID: 27450573 DOI: 10.1177/1357633x16660418] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Previous reviews have investigated the effectiveness of telemedicine in the treatment of heart failure (HF). Dependent variables have included hospitalisations, mortality rates, disease knowledge and health costs. Few reviews, however, have examined the variable of health-related quality of life (QoL). Methods Randomised controlled trials comparing the delivery methods of any form of telemedicine with usual care for the provision of HF disease-management were identified via searches of all relevant databases and reference lists. Studies had to report a quantitative measure for mental, physical or overall QoL in order to be included. Results A total of 33 studies were identified. However, poor reporting of data resulted in the exclusion of seven, leaving 26 studies with 7066 participants. Three separate, random effects meta-analyses were conducted for mental, physical and overall QoL. Telemedicine was not significantly more effective than usual care on mental and physical QoL (standardised mean difference (SMD) 0.03, (95% confidence interval (CI) -0.05-0.12), p = 0.45 and SMD 0.24, (95% CI -0.08-0.56), p = 0.14, respectively). However, when compared to usual care, telemedicine was associated with a small significant increase in overall QoL (SMD 0.23, (95% CI 0.09-0.37), p = 0.001). Moderator analyses indicated that telemedicine delivered over a long-duration (≥52 weeks) and via telemonitoring was most beneficial. Conclusion Compared to usual care, telemedicine significantly increases overall QoL in patients receiving HF disease management. Statistically non-significant but nonetheless positive trends were also observed for physical QoL. These findings provide preliminary support for the use of telemedicine in the management of heart failure without jeopardising patient well-being.
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Affiliation(s)
- Liam Knox
- 1 Department of Psychology, Aberystwyth University, UK
| | | | - Chris Beedie
- 2 School of Human & Life Sciences, Canterbury Christ Church University, UK
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12
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Inglis SC, Clark RA, Dierckx R, Prieto-Merino D, Cleland JGF. Structured telephone support or non-invasive telemonitoring for patients with heart failure. Cochrane Database Syst Rev 2015; 2015:CD007228. [PMID: 26517969 PMCID: PMC8482064 DOI: 10.1002/14651858.cd007228.pub3] [Citation(s) in RCA: 189] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Specialised disease management programmes for heart failure aim to improve care, clinical outcomes and/or reduce healthcare utilisation. Since the last version of this review in 2010, several new trials of structured telephone support and non-invasive home telemonitoring have been published which have raised questions about their effectiveness. OBJECTIVES To review randomised controlled trials (RCTs) of structured telephone support or non-invasive home telemonitoring compared to standard practice for people with heart failure, in order to quantify the effects of these interventions over and above usual care. SEARCH METHODS We updated the searches of the Cochrane Central Register of Controlled Trials (CENTRAL), Database of Abstracts of Reviews of Effects (DARE), Health Technology AsseFssment Database (HTA) on the Cochrane Library; MEDLINE (OVID), EMBASE (OVID), CINAHL (EBSCO), Science Citation Index Expanded (SCI-EXPANDED), Conference Proceedings Citation Index- Science (CPCI-S) on Web of Science (Thomson Reuters), AMED, Proquest Theses and Dissertations, IEEE Xplore and TROVE in January 2015. We handsearched bibliographies of relevant studies and systematic reviews and abstract conference proceedings. We applied no language limits. SELECTION CRITERIA We included only peer-reviewed, published RCTs comparing structured telephone support or non-invasive home telemonitoring to usual care of people with chronic heart failure. The intervention or usual care could not include protocol-driven home visits or more intensive than usual (typically four to six weeks) clinic follow-up. DATA COLLECTION AND ANALYSIS We present data as risk ratios (RRs) with 95% confidence intervals (CIs). Primary outcomes included all-cause mortality, all-cause and heart failure-related hospitalisations, which we analysed using a fixed-effect model. Other outcomes included length of stay, health-related quality of life, heart failure knowledge and self care, acceptability and cost; we described and tabulated these. We performed meta-regression to assess homogeneity (the null hypothesis) in each subgroup analysis and to see if the effect of the intervention varied according to some quantitative variable (such as year of publication or median age). MAIN RESULTS We include 41 studies of either structured telephone support or non-invasive home telemonitoring for people with heart failure, of which 17 were new and 24 had been included in the previous Cochrane review. In the current review, 25 studies evaluated structured telephone support (eight new studies, plus one study previously included but classified as telemonitoring; total of 9332 participants), 18 evaluated telemonitoring (nine new studies; total of 3860 participants). Two of the included studies trialled both structured telephone support and telemonitoring compared to usual care, therefore 43 comparisons are evident.Non-invasive telemonitoring reduced all-cause mortality (RR 0.80, 95% CI 0.68 to 0.94; participants = 3740; studies = 17; I² = 24%, GRADE: moderate-quality evidence) and heart failure-related hospitalisations (RR 0.71, 95% CI 0.60 to 0.83; participants = 2148; studies = 8; I² = 20%, GRADE: moderate-quality evidence). Structured telephone support reduced all-cause mortality (RR 0.87, 95% CI 0.77 to 0.98; participants = 9222; studies = 22; I² = 0%, GRADE: moderate-quality evidence) and heart failure-related hospitalisations (RR 0.85, 95% CI 0.77 to 0.93; participants = 7030; studies = 16; I² = 27%, GRADE: moderate-quality evidence).Neither structured telephone support nor telemonitoring demonstrated effectiveness in reducing the risk of all-cause hospitalisations (structured telephone support: RR 0.95, 95% CI 0.90 to 1.00; participants = 7216; studies = 16; I² = 47%, GRADE: very low-quality evidence; non-invasive telemonitoring: RR 0.95, 95% CI 0.89 to 1.01; participants = 3332; studies = 13; I² = 71%, GRADE: very low-quality evidence).Seven structured telephone support studies reported length of stay, with one reporting a significant reduction in length of stay in hospital. Nine telemonitoring studies reported length of stay outcome, with one study reporting a significant reduction in the length of stay with the intervention. One telemonitoring study reported a large difference in the total number of hospitalisations for more than three days, but this was not an analysis of length of stay per hospitalisation. Nine of 11 structured telephone support studies and five of 11 telemonitoring studies reported significant improvements in health-related quality of life. Nine structured telephone support studies and six telemonitoring studies reported costs of the intervention or cost effectiveness. Three structured telephone support studies and one telemonitoring study reported a decrease in costs and two telemonitoring studies reported increases in cost, due both to the cost of the intervention and to increased medical management. Adherence was rated between 55.1% and 98.5% for those structured telephone support and telemonitoring studies which reported this outcome. Participant acceptance of the intervention was reported in the range of 76% to 97% for studies which evaluated this outcome. Seven of nine studies that measured these outcomes reported significant improvements in heart failure knowledge and self-care behaviours. AUTHORS' CONCLUSIONS For people with heart failure, structured telephone support and non-invasive home telemonitoring reduce the risk of all-cause mortality and heart failure-related hospitalisations; these interventions also demonstrated improvements in health-related quality of life and heart failure knowledge and self-care behaviours. Studies also demonstrated participant satisfaction with the majority of the interventions which assessed this outcome.
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Affiliation(s)
- Sally C Inglis
- Centre for Cardiovascular and Chronic Care, Faculty of Health, University of Technology Sydney, Sydney, Australia
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13
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Achelrod D. Policy expectations and reality of telemedicine - a critical analysis of health care outcomes, costs and acceptance for congestive heart failure. J Telemed Telecare 2014; 20:192-200. [PMID: 24803273 DOI: 10.1177/1357633x14533894] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
A critical review of evidence was carried out to discover whether the actual performance of telemedicine fulfils the expectations of German policy-makers. The analysis was conducted using the example of telemedicine for congestive heart failure (CHF). It was based on both German and international evidence. The PubMed, MEDLINE, Google Scholar and Cochrane Library databases were searched, as well as public sources from the German Federal Ministry of Health. Forty-five studies reporting patient outcomes, costs or acceptance of telemedicine for CHF were included in the review, of which 28 were interventional. The policy expectations of telemedicine generally are: high technology acceptance and improved patient outcomes at lower costs. However, in the field of CHF, policy-makers underestimate the complexity of telemedicine and the technology has not yet lived up to its expectations. Although some studies show improvements in all-cause mortality and CHF-related hospitalisations, there is excessive study heterogeneity and vagueness in the areas of costs and acceptance. Methodological insufficiencies as well as the scarcity of evidence in the German context do not allow definite conclusions to be drawn. Policy-makers and other stakeholders should increase their efforts to consolidate isolated telemedicine projects, establish guidelines for clinical treatment procedures and economic evaluations, and define industry/technical device standards to enhance the comparability of interventions. Imposing the use of telemedicine on patients and physicians is not likely to be fruitful. A successful adaptation requires an analysis of needs and continuous education on both sides.
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14
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Conway A, Inglis SC, Clark RA. Effective technologies for noninvasive remote monitoring in heart failure. Telemed J E Health 2014; 20:531-8. [PMID: 24731212 DOI: 10.1089/tmj.2013.0267] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Trials of new technologies to remotely monitor for signs and symptoms of worsening heart failure are continually emerging. The extent to which technological differences impact the effectiveness of noninvasive remote monitoring for heart failure management is unknown. This study examined the effect of specific technology used for noninvasive remote monitoring of people with heart failure on all-cause mortality and heart failure-related hospitalizations. MATERIALS AND METHODS A subanalysis of a large systematic review and meta-analysis was conducted. Studies were stratified according to the specific type of technology used, and separate meta-analyses were performed. Four different types of noninvasive remote monitoring technologies were identified, including structured telephone calls, videophone, interactive voice response devices, and telemonitoring. RESULTS Only structured telephone calls and telemonitoring were effective in reducing the risk of all-cause mortality (relative risk [RR]=0.87; 95% confidence interval [CI], 0.75-1.01; p=0.06; and RR=0.62; 95% CI, 0.50-0.77; p<0.0001, respectively) and heart failure-related hospitalizations (RR=0.77; 95% CI, 0.68-0.87; p<0.001; and RR=0.75; 95% CI, 0.63-0.91; p=0.003, respectively). More research data are required for videophone and interactive voice response technologies. CONCLUSIONS This subanalysis identified that only two of the four specific technologies used for noninvasive remote monitoring in heart failure improved outcomes. When results of studies that involved these disparate technologies were combined in previous meta-analyses, significant improvements in outcomes were identified. As such, this study has highlighted implications for future meta-analyses of randomized controlled trials focused on evaluating the effectiveness of remote monitoring in heart failure.
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Affiliation(s)
- Aaron Conway
- 1 School of Nursing, Queensland University Technology , Kelvin Grove, Queensland, Australia
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15
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Inglis SC, Conway A, Cleland JG, Clark RA. Is age a factor in the success or failure of remote monitoring in heart failure? Telemonitoring and structured telephone support in elderly heart failure patients. Eur J Cardiovasc Nurs 2014; 14:248-55. [PMID: 24681423 DOI: 10.1177/1474515114530611] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2013] [Accepted: 03/14/2014] [Indexed: 01/13/2023]
Abstract
BACKGROUND There are few data regarding the effectiveness of remote monitoring for older people with heart failure. We conducted a post-hoc sub-analysis of a previously published large Cochrane systematic review and meta-analysis of relevant randomized controlled trials to determine whether structured telephone support and telemonitoring were effective in this population. METHODS A post hoc sub-analysis of a systematic review and meta-analysis that applied the Cochrane methodology was conducted. Meta-analyses of all-cause mortality, all-cause hospitalizations and heart failure-related hospitalizations were performed for studies where the mean or median age of participants was 70 or more years. RESULTS The mean or median age of participants was 70 or more years in eight of the 16 (n=2659/5613; 47%) structured telephone support studies and four of the 11 (n=894/2710; 33%) telemonitoring studies. Structured telephone support (RR 0.80; 95% CI=0.63-1.00) and telemonitoring (RR 0.56; 95% CI=0.41-0.76) interventions reduced mortality. Structured telephone support interventions reduced heart failure-related hospitalizations (RR 0.81; 95% CI=0.67-0.99). CONCLUSION Despite a systematic bias towards recruitment of individuals younger than the epidemiological average into the randomized controlled trials, older people with heart failure did benefit from structured telephone support and telemonitoring. These post-hoc sub-analysis results were similar to overall effects observed in the main meta-analysis. While further research is required to confirm these observational findings, the evidence at hand indicates that discrimination by age alone may be not be appropriate when inviting participation in a remote monitoring service for heart failure.
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16
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Inglis SC, Clark RA, McAlister FA, Stewart S, Cleland JG. Which components of heart failure programmes are effective? A systematic review and meta-analysis of the outcomes of structured telephone support or telemonitoring as the primary component of chronic heart failure management in 8323 patients: Abridged Coc. Eur J Heart Fail 2014; 13:1028-40. [PMID: 21733889 DOI: 10.1093/eurjhf/hfr039] [Citation(s) in RCA: 253] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Sally C. Inglis
- Preventative Health, Baker IDI Heart and Diabetes Institute and Faculty of Nursing, Midwifery and Health; University of Technology; Sydney Australia
| | - Robyn A. Clark
- School of Nursing and Midwifery; Queensland University of Technology; Queensland Australia
| | - Finlay A. McAlister
- Division of General Internal Medicine; University of Alberta; Edmonton Canada
| | - Simon Stewart
- Preventative Health, Baker IDI Heart and Diabetes Institute and Faculty of Nursing, Midwifery and Health; University of Technology; Sydney Australia
| | - John G.F. Cleland
- Academic Unit of Cardiology; Castle Hill Hospital; East Yorkshire UK
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Pandor A, Gomersall T, Stevens JW, Wang J, Al-Mohammad A, Bakhai A, Cleland JGF, Cowie MR, Wong R. Remote monitoring after recent hospital discharge in patients with heart failure: a systematic review and network meta-analysis. Heart 2013; 99:1717-26. [DOI: 10.1136/heartjnl-2013-303811] [Citation(s) in RCA: 91] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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Voigt J, Mosier M. Remote care costs for congestive heart failure: a systematic review and meta-analysis of randomized controlled trials in the United States comparing remote versus more intensive care settings. ACTA ACUST UNITED AC 2012; 19:192-9. [PMID: 23279184 DOI: 10.1111/chf.12017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2012] [Revised: 11/05/2012] [Accepted: 11/11/2012] [Indexed: 12/20/2022]
Abstract
It has been assumed that less intense levels of care for managing heart failure result in a lowering of the overall costs for this care in the United States. The objective of this review was to determine whether this assumption is correct. A systematic review was performed using Medline, technology assessment Web sites, and relevant cardiovascular and heart failure journals from the year 2000 to the present. US randomized controlled trials where costs were evaluated as one of the endpoints were included. Data were collected using Cochrane Review characteristics of included studies and risk of bias assessment forms. Cost data from each trial were converted to a uniform cost definition and year. Meta-analysis was performed where appropriate. Ten trials were identified evaluating costs at various time points (3, 6, and 12 months). Meta-analysis of trials demonstrated no difference in costs for care, no matter the patient condition or settings. In high-quality trials examining costs, there may be a shifting in costs from more expensive care settings to less expensive care settings without savings to the healthcare system. Larger and longer-term trials should be undertaken to understand this issue.
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Affiliation(s)
- Jeffrey Voigt
- Medical Device Consultants of Ridgewood, LLC, Ridgewood, NJ, USA.
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19
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Takeda A, Taylor SJC, Taylor RS, Khan F, Krum H, Underwood M. Clinical service organisation for heart failure. Cochrane Database Syst Rev 2012:CD002752. [PMID: 22972058 DOI: 10.1002/14651858.cd002752.pub3] [Citation(s) in RCA: 100] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Chronic heart failure (CHF) is a serious, common condition associated with frequent hospitalisation. Several different disease management interventions (clinical service organisation interventions) for patients with CHF have been proposed. OBJECTIVES To update the previously published review which assessed the effectiveness of disease management interventions for patients with CHF. SEARCH METHODS A number of databases were searched for the updated review: CENTRAL, (the Cochrane Central Register of Controlled Trials) and DARE, on The Cochrane Library, ( Issue 1 2009); MEDLINE (1950-January 2009); EMBASE (1980-January 2009); CINAHL (1982-January 2009); AMED (1985-January 2009). For the original review (but not the update) we had also searched: Science Citation Index Expanded (1981-2001); SIGLE (1980-2003); National Research Register (2003) and NHS Economic Evaluations Database (2001). We also searched reference lists of included studies for both the original and updated reviews. SELECTION CRITERIA Randomised controlled trials (RCTs) with at least six months follow up, comparing disease management interventions specifically directed at patients with CHF to usual care. DATA COLLECTION AND ANALYSIS At least two reviewers independently extracted data and assessed study quality. Study authors were contacted for further information where necessary. Data were analysed and presented as odds ratios (OR) with 95% confidence intervals (CI). MAIN RESULTS Twenty five trials (5,942 people) were included. Interventions were classified by: (1) case management interventions (intense monitoring of patients following discharge often involving telephone follow up and home visits); (2) clinic interventions (follow up in a CHF clinic) and (3) multidisciplinary interventions (holistic approach bridging the gap between hospital admission and discharge home delivered by a team). The components, intensity and duration of the interventions varied, as did the 'usual care' comparator provided in different trials.Case management interventions were associated with reduction in all cause mortality at 12 months follow up, OR 0.66 (95% CI 0.47 to 0.91, but not at six months. No reductions were seen for deaths from CHF or cardiovascular causes. However, case management type interventions reduced CHF related readmissions at six month (OR 0.64, 95% CI 0.46 to 0.88, P = 0.007) and 12 month follow up (OR 0.47, 95% CI 0.30 to 0.76). Impact of these interventions on all cause hospital admissions was not apparent at six months but was at 12 months (OR 0.75, 95% CI 0.57 to 0.99, I(2) = 58%). CHF clinic interventions (for six and 12 month follow up) revealed non-significant reductions in all cause mortality, CHF related admissions and all cause readmissions. Mortality was not reduced in the two studies that looked at multidisciplinary interventions. However, both all cause and CHF related readmissions were reduced (OR 0.46, 95% CI 0.46-0.69, and 0.45, 95% CI 0.28-0.72, respectively). AUTHORS' CONCLUSIONS Amongst CHF patients who have previously been admitted to hospital for this condition there is now good evidence that case management type interventions led by a heart failure specialist nurse reduces CHF related readmissions after 12 months follow up, all cause readmissions and all cause mortality. It is not possible to say what the optimal components of these case management type interventions are, however telephone follow up by the nurse specialist was a common component.Multidisciplinary interventions may be effective in reducing both CHF and all cause readmissions. There is currently limited evidence to support interventions whose major component is follow up in a CHF clinic.
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Affiliation(s)
- Andrea Takeda
- Queen Mary University of London, Barts & The London School of Medicine, Research Design Service, Centre for Primary Care and Public Health, Blizard Institute, London, UK
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Klersy C, De Silvestri A, Gabutti G, Raisaro A, Curti M, Regoli F, Auricchio A. Economic impact of remote patient monitoring: an integrated economic model derived from a meta-analysis of randomized controlled trials in heart failure. Eur J Heart Fail 2010; 13:450-9. [PMID: 21193439 DOI: 10.1093/eurjhf/hfq232] [Citation(s) in RCA: 105] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
AIMS To assess the cost-effectiveness and the cost utility of remote patient monitoring (RPM) when compared with the usual care approach based upon differences in the number of hospitalizations, estimated from a meta-analysis of randomized clinical trials (RCTs). METHODS AND RESULTS We reviewed the literature published between January 2000 and September 2009 on multidisciplinary heart failure (HF) management, either by usual care or RPM to retrieve the number of hospitalizations and length of stay (LOS) for HF and for any cause. We performed a meta-analysis of 21 RCTs (5715 patients). Remote patient monitoring was associated with a significantly lower number of hospitalizations for HF [incidence rate ratio (IRR): 0.77, 95% CI 0.65-0.91, P < 0.001] and for any cause (IRR: 0.87, 95% CI: 0.79-0.96, P = 0.003), while LOS was not different. Direct costs for hospitalization for HF were approximated by diagnosis-related group (DRG) tariffs in Europe and North America and were used to populate an economic model. The difference in costs between RPM and usual care ranged from €300 to €1000, favouring RPM. These cost savings combined with a quality-adjusted life years (QALYs) gain of 0.06 suggest that RPM is a 'dominant' technology over existing standard care. In a budget impact analysis, the adoption of an RPM strategy entailed a progressive and linear increase in costs saved. CONCLUSIONS The novel cost-effectiveness data coupled with the demonstrated clinical efficacy of RPM should encourage its acceptance amongst clinicians and its consideration by third-party payers. At the same time, the scientific community should acknowledge the lack of prospectively and uniformly collected economic data and should request that future studies incorporate economic analyses.
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Affiliation(s)
- Catherine Klersy
- Service of Biometry and Clinical Epidemiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
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Inglis SC, Clark RA, McAlister FA, Ball J, Lewinter C, Cullington D, Stewart S, Cleland JG. Structured telephone support or telemonitoring programmes for patients with chronic heart failure. Cochrane Database Syst Rev 2010:CD007228. [PMID: 20687083 DOI: 10.1002/14651858.cd007228.pub2] [Citation(s) in RCA: 260] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Specialised disease management programmes for chronic heart failure (CHF) improve survival, quality of life and reduce healthcare utilisation. The overall efficacy of structured telephone support or telemonitoring as an individual component of a CHF disease management strategy remains inconclusive. OBJECTIVES To review randomised controlled trials (RCTs) of structured telephone support or telemonitoring compared to standard practice for patients with CHF in order to quantify the effects of these interventions over and above usual care for these patients. SEARCH STRATEGY Databases (the Cochrane Central Register of Controlled Trials (CENTRAL), Database of Abstracts of Reviews of Effects (DARE) and Health Technology Assessment Database (HTA) on The Cochrane Library, MEDLINE, EMBASE, CINAHL, AMED and Science Citation Index Expanded and Conference Citation Index on ISI Web of Knowledge) and various search engines were searched from 2006 to November 2008 to update a previously published non-Cochrane review. Bibliographies of relevant studies and systematic reviews and abstract conference proceedings were handsearched. No language limits were applied. SELECTION CRITERIA Only peer reviewed, published RCTs comparing structured telephone support or telemonitoring to usual care of CHF patients were included. Unpublished abstract data was included in sensitivity analyses. The intervention or usual care could not include a home visit or more than the usual (four to six weeks) clinic follow-up. DATA COLLECTION AND ANALYSIS Data were presented as risk ratio (RR) with 95% confidence intervals (CI). Primary outcomes included all-cause mortality, all-cause and CHF-related hospitalisations which were meta-analysed using fixed effects models. Other outcomes included length of stay, quality of life, acceptability and cost and these were described and tabulated. MAIN RESULTS Twenty-five studies and five published abstracts were included. Of the 25 full peer-reviewed studies meta-analysed, 16 evaluated structured telephone support (5613 participants), 11 evaluated telemonitoring (2710 participants), and two tested both interventions (included in counts). Telemonitoring reduced all-cause mortality (RR 0.66, 95% CI 0.54 to 0.81, P < 0.0001) with structured telephone support demonstrating a non-significant positive effect (RR 0.88, 95% CI 0.76 to 1.01, P = 0.08). Both structured telephone support (RR 0.77, 95% CI 0.68 to 0.87, P < 0.0001) and telemonitoring (RR 0.79, 95% CI 0.67 to 0.94, P = 0.008) reduced CHF-related hospitalisations. For both interventions, several studies improved quality of life, reduced healthcare costs and were acceptable to patients. Improvements in prescribing, patient knowledge and self-care, and New York Heart Association (NYHA) functional class were observed. AUTHORS' CONCLUSIONS Structured telephone support and telemonitoring are effective in reducing the risk of all-cause mortality and CHF-related hospitalisations in patients with CHF; they improve quality of life, reduce costs, and evidence-based prescribing.
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Affiliation(s)
- Sally C Inglis
- Preventative Health, Baker IDI Heart and Diabetes Institute, Melbourne, Australia
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Schmidt S, Schuchert A, Krieg T, Oeff M. Home telemonitoring in patients with chronic heart failure: a chance to improve patient care? DEUTSCHES ARZTEBLATT INTERNATIONAL 2010; 107:131-8. [PMID: 20300221 DOI: 10.3238/arztebl.2010.0131] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2009] [Accepted: 06/10/2009] [Indexed: 11/27/2022]
Abstract
BACKGROUND Telemonitoring can improve the medical care, quality of life, and prognosis of chronically ill patients. This review article summarizes the current status of health services research on telemonitoring, focusing on patients with chronic congestive heart failure. METHOD The Medline database was selectively searched for articles appearing from June 2001 to May 2008, with an emphasis on randomized, controlled trials. RESULTS The available scientific data on vital signs monitoring are limited, yet there is evidence for a positive effect on some clinical endpoints, particularly mortality. Nonetheless, any possible improvement of patient-reported outcomes, such as the quality of life, still remains to be demonstrated. CONCLUSIONS The data suggest that telemonitoring is effective, yet there is no evidence for superior outcomes with any particular model of care incorporating telemonitoring (i.e., monitoring of vital signs versus structured telephone monitoring). A valid criticism is that the individual components of home telemonitoring have not yet been separately tested in order to compare their individual effects.
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Affiliation(s)
- Silke Schmidt
- Lehrstuhl Gesundheit und Prävention, Ernst-Moritz-Arndt Universität Greifswald, Germany.
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Klersy C, De Silvestri A, Gabutti G, Regoli F, Auricchio A. A meta-analysis of remote monitoring of heart failure patients. J Am Coll Cardiol 2009; 54:1683-94. [PMID: 19850208 DOI: 10.1016/j.jacc.2009.08.017] [Citation(s) in RCA: 239] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2009] [Revised: 08/31/2009] [Accepted: 08/31/2009] [Indexed: 10/20/2022]
Abstract
OBJECTIVES The purpose of this study was to assess the effect of remote patient monitoring (RPM) on the outcome of chronic heart failure (HF) patients. BACKGROUND RPM via regularly scheduled structured telephone contact between patients and health care providers or electronic transfer of physiological data using remote access technology via remote external, wearable, or implantable electronic devices is a growing modality to manage patients with chronic HF. METHODS After a review of the literature published between January 2000 and October 2008 on a multidisciplinary heart failure approach by either usual care (in-person visit) or RPM, 96 full-text articles were retrieved: 20 articles reporting randomized controlled trials (RCTs) and 12 reporting cohort studies qualified for a meta-analysis. RESULTS Respectively, 6,258 patients and 2,354 patients were included in RCTs and cohort studies. Median follow-up duration was 6 months for RCTs and 12 months for cohort studies. Both RCTs and cohort studies showed that RPM was associated with a significantly lower number of deaths (RCTs: relative risk [RR]: 0.83, 95% confidence interval [CI]: 0.73 to 0.95, p = 0.006; cohort studies: RR: 0.53, 95% CI: 0.29 to 0.96, p < 0.001) and hospitalizations (RCTs: RR: 0.93, 95% CI: 0.87 to 0.99, p = 0.030; cohort studies: RR: 0.52, 95% CI: 0.28 to 0.96, p < 0.001). The decrease in events was greater in cohort studies than in RCTs. CONCLUSIONS RPM confers a significant protective clinical effect in patients with chronic HF compared with usual care.
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Affiliation(s)
- Catherine Klersy
- Service of Biometry and Clinical Epidemiology, Scientific Direction Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
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Taylor S, Bestall J, Cotter S, Falshaw M, Hood S, Parsons S, Wood L, Underwood M. Clinical service organisation for heart failure. Cochrane Database Syst Rev 2005:CD002752. [PMID: 15846638 PMCID: PMC4167847 DOI: 10.1002/14651858.cd002752.pub2] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Chronic heart failure (CHF) is a serious, common condition associated with frequent hospitalisation. Several different disease management interventions (clinical service organisation interventions) for patients with CHF have been proposed. OBJECTIVES To assess the effectiveness of disease management interventions for patients with CHF. SEARCH STRATEGY We searched: Cochrane CENTRAL Register of Controlled Trials (to June 2003); MEDLINE (January 1966 to July 2003); EMBASE (January 1980 to July 2003); CINAHL (January 1982 to July 2003); AMED (January 1985 to July 2003); Science Citation Index Expanded (searched January 1981 to March 2001); SIGLE (January 1980 to July 2003); DARE (July 2003); National Research Register (July 2003); NHS Economic Evaluations Database (March 2001); reference lists of articles and asked experts in the field. SELECTION CRITERIA Randomised controlled trials comparing disease management interventions specifically directed at patients with CHF to usual care. DATA COLLECTION AND ANALYSIS At least two reviewers independently extracted data information and assessed study quality. Study authors were contacted for further information where necessary. MAIN RESULTS Sixteen trials involving 1,627 people were included. We classified the interventions into three models: multidisciplinary interventions (a holistic approach bridging the gap between hospital admission and discharge home delivered by a team); case management interventions (intense monitoring of patients following discharge often involving telephone follow up and home visits); and clinic interventions (follow up in a CHF clinic). There was considerable overlap within these categories, however the components, intensity and duration of the interventions varied. Case management interventions tended to be associated with reduced all cause mortality but these findings were not statistically significant (odds ratio 0.86, 95% confidence interval 0.67 to 1.10, P = 0.23), although the evidence was stronger when analysis was limited to the better quality studies (odds ratio 0.68, 95% confidence interval 0.46 to 0.98, P = 0.04). There was weak evidence that case management interventions may be associated with a reduction in admissions for heart failure. It is unclear what the effective components of the case management interventions are. The single RCT of a multidisciplinary intervention showed reduced heart-failure related re-admissions in the short term. At present there is little available evidence to support clinic based interventions. AUTHORS' CONCLUSIONS The data from this review are insufficient for forming recommendations. Further research should include adequately powered, multi-centre studies. Future studies should also investigate the effect of interventions on patients' and carers' quality of life, their satisfaction with the interventions and cost effectiveness.
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Affiliation(s)
- S Taylor
- Centre for General Practice and Primary Care, St Bartholomew's and The Royal London School of Medicine and Dentistry, Mile End Road, London, UK, E1 4NS.
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