4
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      To submit to Bentham Journals, please click here

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Perspectives On Optimizing Chronic Heart Failure Care Beyond Randomised Controlled Trials – What do we Consolidate and how do we Plan for the Future?

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In 2016, we steered a thematic series on optimizing congestive heart failure beyond the defining evidence hurdle, the randomised controlled trial (RCT) [1]. Alongside research advancements summarised in guidelines [2], cardiology service models have made leaps in the last several decades; an important area was the publication of a Taxonomy of disease management [3]. While the taxonomy provides a broad framework with pillars (domains) and components for each pillar (dimensions), it is more a jigsaw than a tested model. Individual health systems have to determine the right combination of funding and infrastructure (staffing, equipment and facilities). Thus, while all services have access to the RCT findings, the real world consequences can vary. In this editorial* we focus on service and therapeutic areas to consolidate and find new directions of thinking: firstly, consolidating delivery of evidence-based practice and the best clinical models of services to do so, in a cost efficiency context; and secondly, creating an environment for real time observations and partnerships to steer short and long term goals and including the generaration of local evidence where needed. Health Services are machineries fuelled by adequate and consistent funding. It is hoped that improved community health translates to higher productivity with less medical resource utilisation. In developed nations adhering to guideline-based care has led to improvements in CHF major adverse cardiovascular outcomes (MACE). However, when heterogeneous demographic factors are encountered, unequal outcome gains are seen in some groups [4]. Despite all considerations, however, health budgets continue to rise towards unsustainable levels. Because of this, we believe that the most important paradigm for CHF and chronic diseases lie within health services models, and in defining the basic unit of a chronic disease health service (or a health cluster) and cost efficiency factors within it. CHF has common denominators in service elements, however the multidisciplinary machinery is compartmentalised into silos; in the Australian Medicare community care funded models it still remains a grey area where the boundaries between the different health providers are at. Thus seats for scientist and bureaucrats on the planning table must be a future priority. CHF is a chronic condition, with a three phase natural history and without a cure. Hospital admissions and therapies for patients with higher New York Heart Association Class (NYHA III and IV) contribute to high costs. Fonarow et al. from the OTIMIZE-HF study showed that a quality improvement process of care is vital in achieving MACE and other targets [5]. The role of cardiologists is to lead this process and link it to other important service elements, preferably within a health cluster. To run a coordinated service, accessing multidisciplinary elements, maintaining good communication and optimising therapy require flexible care models. The components and dynamism of such models should be a primary focus of studies, with the aims to understand: a. Constituents of political, administrative and medical teams: the breath and overlaps of teams roles in finding common ground and facilitating needs in the cluster; b. Memorandum of understanding on effecting change: The evidenced process needed by these groups to steer future directions; c. Data sharing and mining capabilities: how to create efficient pathways to record and access data across the health cluster to facilitate reliable audits timely. ‘Health Cluster’ is a loose term to describe an aggregation of services within a defined geographical boundary served by one or several ‘Health Networks’ or Tertiary Teaching Hospitals. Within them are housed buildings, equipments, multidisciplinary staffing, health, policy and research infrastructure, and the capacity to serve sickest patients presenting with any acuity. Tertiary centres lag with triaging high volumes e.g stable outpatients (plateau or phase 2), being responsive when they sit at the boundaries of acute and palliative phases and subacute presentations such as dyspnoea or chest pains requiring investigations. With communication, sharing of information timely and connectivity across the cluster have also had its challenges. A third issue of importance is broader roles of non-hospital based and allied health in relationship to research and teaching. The first and second issues acknowledge that the foundations for futuristic planning must factor sharing workload across the cluster. Community centres excel in managing and triaging patients who are not acutely unwell. Hospital in the home can also take on some acuity. For this to succeed, however, greater engagement between health networks and community health services with planning and communication (shared information) must be addressed. The improved efficiency and reduced duplication will reduce costs. A host of medicolegal considerations exist, however it is a direction we must steer towards. The third area of defining the roles of health practitioners in the cluster and beyond clinical duties require at the minimum honorary associations. Practitioners billing from public Medicare funds could help steer data via the research infrastructure within the cluster to funding bodies. This will allow information to steer planning discussions. Finally, creating an environment for transforming novel observations to solutions. CHF research could benefit from studies on: i. Patient populations: Phase 4 studies on comorbidities, Phase 1-4 studies on ethnicity and response to treatments and outcomes, novel risk determinants; ii. Electronic communication methods – real time data; data mining, addressing Taxonomy domains (3); iii. Outcome measures particularly improving readmissions and cost efficiency [4-13] (Fig. 1 ). In developed nations, globalisation has seen a change in demographics. Declines in CHF mortality have been achieved; however, there are now greater considerations within subpopulations. In planning for the future, we must pause and look at the new landscape. To optimise CHF care we need to recognise that with any chronic diseases the treating specialist must be engaged with a multidisciplinary structure. Health practitioners must also be more conscious of cost-efficiency determinants. Consolidating the strongest evidence with local thinking will be vital. When planning for the future engaging tertiary and community services at all levels will provide the best canvas for observations and translation. Supplementing this are other long term players like drug companies where greater levels of corporation with the health cluster will also benefit to ensure the findings are translated and trial participation is facilitated for willing participants. Finally, each system has to determine the right combination of infrastructure (staffing, equipment and facilities) and funding. It is also important to ensure we consolidate and deliver proven care well and engage to provide collaborative opportunities to identify gaps and discover solutions. Achieving this will then ensure consistent funds to the health cluster and greater funding streams for novel research.

          Related collections

          Most cited references13

          • Record: found
          • Abstract: not found
          • Article: not found
          Is Open Access

          National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand: Guidelines for the Prevention, Detection, and Management of Heart Failure in Australia 2018

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A taxonomy for disease management: a scientific statement from the American Heart Association Disease Management Taxonomy Writing Group.

            Disease management has shown great promise as a means of reorganizing chronic care and optimizing patient outcomes. Nevertheless, disease management programs are widely heterogeneous and lack a shared definition of disease management, which limits our ability to compare and evaluate different programs. To address this problem, the American Heart Association's Disease Management Taxonomy Writing Group developed a system of classification that can be used both to categorize and compare disease management programs and to inform efforts to identify specific factors associated with effectiveness. The AHA Writing Group began with a conceptual model of disease management and its components and subsequently validated this model over a wide range of disease management programs. A systematic MEDLINE search was performed on the terms heart failure, diabetes, and depression, together with disease management, case management, and care management. The search encompassed articles published in English between 1987 and 2005. We then selected studies that incorporated (1) interventions designed to improve outcomes and/or reduce medical resource utilization in patients with heart failure, diabetes, or depression and (2) clearly defined protocols with at least 2 prespecified components traditionally associated with disease management. We analyzed the study protocols and used qualitative research methods to develop a disease management taxonomy with our conceptual model as the organizing framework. The final taxonomy includes the following 8 domains: (1) Patient population is characterized by risk status, demographic profile, and level of comorbidity. (2) Intervention recipient describes the primary targets of disease management intervention and includes patients and caregivers, physicians and allied healthcare providers, and healthcare delivery systems. (3) Intervention content delineates individual components, such as patient education, medication management, peer support, or some form of postacute care, that are included in disease management. (4) Delivery personnel describes the network of healthcare providers involved in the delivery of disease management interventions, including nurses, case managers, physicians, pharmacists, case workers, dietitians, physical therapists, psychologists, and information systems specialists. (5) Method of communication identifies a broad range of disease management delivery systems that may include in-person visitation, audiovisual information packets, and some form of electronic or telecommunication technology. (6) Intensity and complexity distinguish between the frequency and duration of exposure, as well as the mix of program components, with respect to the target for disease management. (7) Environment defines the context in which disease management interventions are typically delivered and includes inpatient or hospital-affiliated outpatient programs, community or home-based programs, or some combination of these factors. (8) Clinical outcomes include traditional, frequently assessed primary and secondary outcomes, as well as patient-centered measures, such as adherence to medication, self-management, and caregiver burden. This statement presents a taxonomy for disease management that describes critical program attributes and allows for comparisons across interventions. Routine application of the taxonomy may facilitate better comparisons of structure, process, and outcome measures across a range of disease management programs and should promote uniformity in the design and conduct of studies that seek to validate disease management strategies.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Type 2 Diabetes and Heart Failure: Challenges and Solutions

              Increasing numbers of older patients with type 2 diabetes, and their improved survival from cardiovascular events is seeing a massive increase in patients with both diabetes and heart failure. Already, at least a third of all patients with heart failure have diabetes. This close association is partly because all the major risk factors for heart failure also cluster in patients with type 2 diabetes, including obesity, hypertension, advanced age, sleep apnoea, dyslipidaemia, anaemia, chronic kidney disease, and coronary heart disease. However, diabetes may also cause cardiac dysfunction in the absence of overt macrovascular disease, as well as complicate the response to therapy. Current management is focused on targeting modifiable risk factors for heart failure including hyperglycaemia, dyslipidaemia, hypertension, obesity and anemia. But although these are important risk markers, none of these interventions substantially prevents heart failure or improves its outcomes. Much more needs to be done to focus on this issue, including the inclusion of hospital admission for heart failure as a pre-specified component of the primary composite cardiovascular outcomes and new trials in heart failure management specifically in the context of diabetes.
                Bookmark

                Author and article information

                Journal
                Curr Cardiol Rev
                Curr Cardiol Rev
                CCR
                Current Cardiology Reviews
                Bentham Science Publishers
                1573-403X
                1875-6557
                August 2019
                August 2019
                : 15
                : 3
                : 158-160
                Affiliations
                Consultant Cardiologist Heart West and Senior Lecturer Flinders University, NT Medical School , Darwin, Australia;

                Biochemistry of Diabetes Complications, The Department of Diabetes, Monash University , Melbourne, , Australia;

                Clinical Dean Royal Darwin Hospital, TEHS, Renal Transplantation, Royal Darwin Hospital, Department of Nephrology, Division of Medicine, P.O. Box 41326, Tiwi, Darwin, , Australia
                Author notes
                [* ]Address correspondence to this author at the Flinders University, NT Medical School, Darwin, Australia; E-mail: balaniyngkaran@ 123456hotmail.com
                Article
                CCR-15-158
                10.2174/1573403X1503190506101720
                6719389
                31084591
                9ef142a0-b335-406e-9458-4cbd04000247
                © 2019 Bentham Science Publishers

                This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

                History
                Categories
                Article

                Cardiovascular Medicine
                Cardiovascular Medicine

                Comments

                Comment on this article