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Bugge SJ, Henriksen DP, Damkier P, Rahbek MT, Schousboe K, Rothmann MJ, Poulsen MK, Hansen C, Nagarajah S, Jensen PB, Johansson SL, Panou V, Schneider IR, Pedersen CG, Andersen JD, Hangaard J, Zwisler ADO. Network of doctors for multimorbidity and diabetes - the NOMAD intervention: protocol for feasibility trial of multidisciplinary team conferences for people with diabetes and multimorbidity. Pilot Feasibility Stud 2024; 10:91. [PMID: 38879561 PMCID: PMC11179232 DOI: 10.1186/s40814-024-01517-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 06/06/2024] [Indexed: 06/19/2024] Open
Abstract
BACKGROUND The prevalence of diabetes and coexisting multimorbidity rises worldwide. Treatment of this patient group can be complex. Providing an evidence-based, coherent, and patient-centred treatment of patients with multimorbidity poses a challenge in healthcare systems, which are typically designed to deliver disease-specific care. We propose an intervention comprising multidisciplinary team conferences (MDTs) to address this issue. The MDT consists of medical specialists in five different specialities meeting to discuss multimorbid diabetes patients. This protocol describes a feasibility test of MDTs designed to coordinate care and improve quality of life for people with diabetes and multimorbidity. METHODS A mixed-methods one-arm feasibility test of the MDT. Feasibility will be assessed through prospectively collected data. We will explore patient perspectives through patient-reported outcomes (PROs) and assess the feasibility of electronic questionnaires. Feasibility outcomes are recruitment, PRO completion, technical difficulties, impact of MDT, and doctor preparation time. During 17 months, up to 112 participants will be recruited. We will report results narratively and by the use of descriptive statistics. The collected data will form the basis for a future large-scale randomised trial. DISCUSSION A multidisciplinary approach focusing on better management of diabetic patients suffering from multimorbidity may improve functional status, quality of life, and health outcomes. Multimorbidity and diabetes are highly prevalent in our healthcare system, but we lack a solid evidence-based approach to patient-centred care for these patients. This study represents the initial steps towards building such evidence. The concept can be efficiency tested in a randomised setting, if found feasible to intervention providers and receivers. If not, we will have gained experience on how to manage diabetes and multimorbidity as well as organisational aspects, which together may generate hypotheses for research on how to handle multimorbidity in the future. ADMINISTRATIVE INFORMATION Protocol version: 01 TRIAL REGISTRATION: NCT05913726 - registration date: 21 June 2023.
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Affiliation(s)
- Stine Jorstad Bugge
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark.
- Department of Pharmacology, Odense University Hospital, Odense, Denmark.
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Daniel Pilsgaard Henriksen
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Pharmacology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Per Damkier
- Department of Pharmacology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Martin Torp Rahbek
- Department of Pharmacology, Odense University Hospital, Odense, Denmark
- Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Karoline Schousboe
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Mette Juel Rothmann
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Marianne Kjær Poulsen
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Camilla Hansen
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
| | - Subagini Nagarajah
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Nephrology, Odense University Hospital, Odense, Denmark
| | - Per Bruno Jensen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Nephrology, Odense University Hospital, Odense, Denmark
| | - Sofie Lock Johansson
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark
| | - Vasiliki Panou
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark
| | - Ida Ransby Schneider
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Charlotte Gjørup Pedersen
- Steno Diabetes Centre Aarhus, Aarhus University Hospital, Aarhus, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Jonas Dahl Andersen
- Steno Diabetes Centre Northern Jutland, Aalborg University Hospital, Aalborg, Denmark
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Jørgen Hangaard
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Ann-Dorthe Olsen Zwisler
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Cardiology, Odense University Hospital, Odense, Denmark
- REHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Nyborg, Denmark
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Hempel S, Bolshakova M, Hochman M, Jimenez E, Thompson G, Motala A, Ganz DA, Gabrielian S, Edwards S, Zenner J, Dennis B, Chang E. Caring for high-need patients. BMC Health Serv Res 2023; 23:1289. [PMID: 37996845 PMCID: PMC10668484 DOI: 10.1186/s12913-023-10236-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 10/28/2023] [Indexed: 11/25/2023] Open
Abstract
OBJECTIVE We aimed to explore the construct of "high need" and identify common need domains among high-need patients, their care professionals, and healthcare organizations; and to describe the interventions that health care systems use to address these needs, including exploring the potential unintended consequences of interventions. METHODS We conducted a modified Delphi panel informed by an environmental scan. Expert stakeholders included patients, interdisciplinary healthcare practitioners (physicians, social workers, peer navigators), implementation scientists, and policy makers. The environmental scan used a rapid literature review and semi-structured interviews with key informants who provide healthcare for high-need patients. We convened a day-long virtual panel meeting, preceded and followed by online surveys to establish consensus. RESULTS The environmental scan identified 46 systematic reviews on high-need patients, 19 empirical studies documenting needs, 14 intervention taxonomies, and 9 studies providing construct validity for the concept "high need." Panelists explored the construct and terminology and established that individual patients' needs are unique, but areas of commonality exist across all high-need patients. Panelists agreed on 11 domains describing patient (e.g., social circumstances), 5 care professional (e.g., communication), and 8 organizational (e.g., staffing arrangements) needs. Panelists developed a taxonomy of interventions with 15 categories (e.g., care navigation, care coordination, identification and monitoring) directed at patients, care professionals, or the organization. The project identified potentially unintended consequences of interventions for high-need patients, including high costs incurred for patients, increased time and effort for care professionals, and identification of needs without resources to respond appropriately. CONCLUSIONS Care for high-need patients requires a thoughtful approach; differentiating need domains provides multiple entry points for interventions directed at patients, care professionals, and organizations. Implementation efforts should consider outlined intended and unintended downstream effects on patients, care professionals, and organizations.
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Affiliation(s)
- Susanne Hempel
- Southern California Evidence Review Center, University of Southern California, Los Angeles, USA.
| | - Maria Bolshakova
- Southern California Evidence Review Center, University of Southern California, Los Angeles, USA
| | - Michael Hochman
- Gehr Family Center for Health Systems Science and Innovation, University of Southern California, Los Angeles, CA, USA
| | - Elvira Jimenez
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Gina Thompson
- Southern California Evidence Review Center, University of Southern California, Los Angeles, USA
| | - Aneesa Motala
- Southern California Evidence Review Center, University of Southern California, Los Angeles, USA
| | - David A Ganz
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | | | | | - James Zenner
- Los Angeles County Department of Mental Health, Los Angeles, CA, USA
| | - Ben Dennis
- Southern California Evidence Review Center, University of Southern California, Los Angeles, USA
| | - Evelyn Chang
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
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Li C, Wu M, Qiao G, Gao X, Hu T, Zhao X, Zhu X, Yang F. Effectiveness of continuity of care in reducing depression symptoms in elderly: A systematic review and meta-analysis. Int J Geriatr Psychiatry 2023; 38:e5894. [PMID: 36814066 DOI: 10.1002/gps.5894] [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: 09/04/2022] [Accepted: 02/19/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Depression affects 10%-20% of older adults worldwide. The course of late-life depression (LLD) is often chronic, with a poor long-term prognosis. Lower treatment adherence, stigma, and suicide risk lead to significant challenges in the continuity of care (COC) for patients with LLD. Elderly patients with chronic diseases can benefit from COC. As a common chronic disease of the elderly, whether depression can also benefit from COC has not been systematically reviewed. METHODS Systematic literature search in Embase, Cochrane Library, Web of Science, Ovid, PubMed and Medline. Randomized Controlled Trials (RCTs) on the intervention effects of COC and LLD, published on 12 April 2022, were selected. Two independent researchers made research choices based on consensus. An RCT with COC as an intervention measure for the elderly with depression 60 years old was the inclusion criteria. RESULTS A total of 10 RCTs involving 1557 participants were identified in this study. The findings showed that: (1) COC significantly reduced depressive symptoms compared to usual care (standardized mean difference [SMD] = -0.47, 95% confidence interval: -0.63 to -0.31), with the best improvement at 3- to 6-month follow-up; (2) The reduction in depressive symptoms was more pronounced for patients with comorbid chronic conditions with LLD (SMD = -0.93, 95% CI: -1.18 to -0.68); (3) COC was more effective than other regions for LLD in Europe and the Americas (SMD = -0.84, 95% CI: -1.07 to -0.61); and (4) COC had a positive impact on the quality of life of patients with LLD (SMD = 0.21, 95% CI: 0.02-0.40). LIMITATIONS The included studies included several multi-component interventions with widely varying methods. Therefore, it was almost impossible to analyze which of these interventions had an impact on the assessed outcomes. CONCLUSIONS This meta-analysis shows that COC can significantly reduce depressive symptoms and improve quality of life in patients with LLD. However, when treating and caring for patients with LLD, health care providers should also pay attention to timely adjustments of intervention plans according to follow-up, synergistic interventions for multiple co-morbidities, and actively learning from advanced COC programs at home and abroad to improve the quality and effectiveness of services.
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Affiliation(s)
- Chaoyang Li
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Man Wu
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Guiyuan Qiao
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Xiaolian Gao
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Ting Hu
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Xueyang Zhao
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Xinhong Zhu
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
| | - Fen Yang
- College of Nursing, Hubei University of Chinese Medicine, Wuhan, China
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Oude Voshaar M, Terwee CB, Haverman L, van der Kolk B, Harkes M, van Woerden CS, van Breda F, Breukink S, de Hoop I, Vermeulen H, de Graaf E, Hazelzet J, van Leiden B, Stienen J, Hoekstra M, Bart H, van Bommel H, Determann D, Verburg M, van der Wees P, Beurskens AJ. Development of a standard set of PROs and generic PROMs for Dutch medical specialist care : Recommendations from the Outcome-Based Healthcare Program Working Group Generic PROMs. Qual Life Res 2023; 32:1595-1605. [PMID: 36757571 PMCID: PMC10172289 DOI: 10.1007/s11136-022-03328-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2022] [Indexed: 02/10/2023]
Abstract
PURPOSE The added value of measuring patient-reported outcomes (PROs) for delivering patient-centered care and assessment of healthcare quality is increasingly evident. However, healthcare system wide data collection initiatives are hampered by the proliferation of patient-reported outcome measures (PROMs) and conflicting data collection standards. As part of a national initiative of the Dutch Ministry of Health, Welfare and Sport we developed a consensus-based standard set of generic PROs and PROMs to be implemented across Dutch medical specialist care. METHODS A working group of mandated representatives of umbrella organizations involved in Dutch medical specialist care, together with PROM experts and patient organizations worked through a structured, consensus-driven co-creation process. This included literature reviews, online expert and working group meetings, and feedback from national patient- and umbrella organizations. The 'PROM-cycle' methodology was used to select feasible, valid, and reliable PROMs to obtain domain scores for each of the PROs included in the set. RESULTS Eight PROs across different domains of health were ultimately endorsed: symptoms (pain & fatigue), functioning (physical, social/participation, mental [anxiety & depression]), and overarching (quality of life & perceived overall health). A limited number of generic PROMs was endorsed. PROMIS short forms were selected as the preferred instruments for all PROs. Several recommendations were formulated to facilitate healthcare system level adoption and implementation of the standard set. CONCLUSIONS We developed a consensus-based standard set of Generic PROMs and a set of recommendations to facilitate healthcare system wide implementation across Dutch medical specialist care.
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Affiliation(s)
- Martijn Oude Voshaar
- National Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands.
- Department of Medical Cell BioPhysics & TechMed Center, University of Twente, Enschede, The Netherlands.
| | - Caroline B Terwee
- National Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands
- Epidemiology and Data Science, Amsterdam UMC Location Vrije Universiteit, Amsterdam, the Netherlands
- Methodology, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Lotte Haverman
- National Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands
- Dutch Society of Medical Specialists, Amphia Hospital, Utrecht, The Netherlands
- Dutch Nurses' Association, Amphia Hospital, Utrecht, The Netherlands
| | - Bas van der Kolk
- National Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands
| | - Marleen Harkes
- Dutch Society of Medical Specialists, Amphia Hospital, Utrecht, The Netherlands
| | | | - Fenna van Breda
- Dutch Society of Medical Specialists, Amphia Hospital, Utrecht, The Netherlands
| | - Stephanie Breukink
- Dutch Society of Medical Specialists, Amphia Hospital, Utrecht, The Netherlands
| | - Irma de Hoop
- Dutch Nurses' Association, Amphia Hospital, Utrecht, The Netherlands
| | - Hester Vermeulen
- Dutch Nurses' Association, Amphia Hospital, Utrecht, The Netherlands
| | - Evelien de Graaf
- Dutch Nurses' Association, Amphia Hospital, Utrecht, The Netherlands
| | - Jan Hazelzet
- Dutch Federation of University Medical Centres, Utrecht, The Netherlands
| | | | - Jozette Stienen
- Dutch Hospital Association &, Amphia Hospital, Breda, The Netherlands
| | | | - Hans Bart
- The Netherlands Patients Federation, Utrecht, The Netherlands
| | - Hester van Bommel
- Pharos - Dutch Centre of Expertise On Health Disparities, Utrecht, The Netherlands
| | - Domino Determann
- National Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands
| | - Mariët Verburg
- National Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands
| | - Philip van der Wees
- National Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands
- Radboud University Medical Center, Radboud Institute for Health Sciences, IQ Healthcare and Department of Rehabilitation, Nijmegen, The Netherlands
| | - Anna J Beurskens
- National Health Care Institute (Zorginstituut Nederland), Diemen, The Netherlands
- Department of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
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Bissenbakker K, Møller A, Brodersen JB, Jønsson ABR. Conceptualisation of a measurement framework for Needs-based Quality of Life among patients with multimorbidity. J Patient Rep Outcomes 2022; 6:83. [PMID: 35895139 PMCID: PMC9329502 DOI: 10.1186/s41687-022-00489-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 07/13/2022] [Indexed: 11/13/2022] Open
Abstract
Background Multimorbidity is both an individual and societal problem. For society, patients with multimorbidity increase healthcare costs. For the individual, living with multimorbidity is complex, and there is an inverse relationship between a patient's Quality of Life (QoL) and their number of chronic conditions. Numerous intervention studies target these problems, yet there is no multimorbidity-specific patient-reported outcome measure (PROM) developed specifically for this group with adequate measurement properties to assess QoL. This study explores what overall needs regarding QoL are affected by living with multimorbidity through qualitative interviews. With this, we conceptualise Needs-based QoL specifically for this group, ensuring high content validity (regarding relevance and comprehensiveness) of using the Needs-based approach to measure their QoL. This is essential as this preliminary study leads to the development of the MultiMorbidity Questionnaire (MMQ), a PROM measuring QoL among patients with multimorbidity. Methods This study draws upon qualitative interviews with fifteen patients with multimorbidity based on a semi-structured interview guide following the Needs-based approach. This approach allowed the patients to cover needs relevant for their QoL in relation to the complexities of living with multimorbidity. The transcribed interviews were thematically analysed, inspired by Braun and Clarke’s reflexive approach.
Results Analysis of the interviews resulted in the construction of six intertwined domains relevant to patients with multimorbidity, covering their Needs-based QoL; “Physical ability”, “Self-determination”, “Security”, “Partner and social life”, “Self-image”, and “Personal finances”. “Physical limitations” and “Personal finances” were stated as core needs implicating the other domains. Conclusion This study shows six intertwined overall domains relevant for patients with multimorbidity regarding their Needs-based QoL; “Physical ability”, “Self-determination”, “Security”, “Partner and social life”, “Self-image”, and “Personal finances”. These needs are relevant in a Danish context, with a generally high standard of living. Based on this conceptual framework of Need-based QoL for patients with multimorbidity, we will develop items for a new patient-reported outcome measure called the MMQ. Supplementary Information The online version contains supplementary material available at 10.1186/s41687-022-00489-0.
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Nicholson K, Makovski TT, Nagyova I, van den Akker M, Stranges S. Strategies to improve health status among adults with multimorbidity: A scoping review. Maturitas 2022; 167:24-31. [DOI: 10.1016/j.maturitas.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/09/2022] [Accepted: 09/04/2022] [Indexed: 10/14/2022]
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Multidimensional characteristics of complex chronic patients in emergency services in primary care. Collegian 2022. [DOI: 10.1016/j.colegn.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Mandal S, Belli H, Cruz J, Mann D, Schoenthaler A. Analyzing user engagement within a patient-reported outcomes texting tool for diabetes management (Preprint). JMIR Diabetes 2022; 7:e41140. [DOI: 10.2196/41140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/31/2022] [Accepted: 09/07/2022] [Indexed: 11/13/2022] Open
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Gonçalves I, Mendes DA, Caldeira S, Jesus E, Nunes E. Nurse‐led care management models for patients with multimorbidity in hospital settings: a scoping review. J Nurs Manag 2022; 30:1960-1973. [DOI: 10.1111/jonm.13621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/13/2022] [Accepted: 04/05/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Isabel Gonçalves
- Universidade Católica Portuguesa Institute of Health Sciences, Centre for Interdisciplinary Research in Health Portugal
| | | | - Sílvia Caldeira
- Universidade Católica Portuguesa Institute of Health Sciences, Centre for Interdisciplinary Research in Health Portugal
| | - Elvio Jesus
- Universidade Católica Portuguesa Institute of Health Sciences, Centre for Interdisciplinary Research in Health Portugal
| | - Elisabete Nunes
- Universidade Católica Portuguesa Institute of Health Sciences, Centre for Interdisciplinary Research in Health Portugal
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Skovlund SE, Troelsen LH, Klim L, Jakobsen PE, Ejskjaer N. The participatory development of a national core set of person-centred diabetes outcome constructs for use in routine diabetes care across healthcare sectors. RESEARCH INVOLVEMENT AND ENGAGEMENT 2021; 7:62. [PMID: 34507618 PMCID: PMC8434700 DOI: 10.1186/s40900-021-00309-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 08/31/2021] [Indexed: 05/17/2023]
Abstract
BACKGROUND This study sought to utilise participatory research methods to identify the perspectives of people with diabetes regarding which diabetes outcomes were most important to them. These findings were then used to support an expert working group representing multiple health sectors and healthcare disciplines and people with diabetes to establish a core set of patient-important outcome constructs for use in routine diabetes care. METHODS 26 people with diabetes and family members were recruited through purposive sampling to participate in interviews, focus groups, voting and plenary activities in order to be part of identifying outcome constructs. Content and qualitative analysis methods were used with literature reviews to inform a national multi-stakeholder consensus process for a core set of person-centred diabetes outcome constructs to be used in routine diabetes care across health care settings. RESULTS 21 people with diabetes and 5 family members representing type 1 and 2 diabetes and a range of age groups, treatment regimens and disease burden identified the following patient-reported outcome constructs as an important supplement to clinical indicators for outcome assessment in routine diabetes care: self-rated health, psychological well-being, diabetes related emotional distress and quality of life, symptom distress, treatment burden, blood sugar regulation and hypoglycemia burden, confidence in self-management and confidence in access to person-centred care and support. Consensus was reached by a national multi-stakeholder expert group to adopt measures of these constructs as a national core diabetes outcome set for use in routine value-based diabetes care. CONCLUSIONS We found that patient-reported outcome (PRO) constructs and clinical indicators are needed in core diabetes outcome sets to evaluate outcomes of diabetes care which reflect key needs and priorities of people with diabetes. The incorporation of patient-reported outcome constructs should be considered complementary to clinical indicators in multi-stakeholder value-based health care strategies. We found participatory research methods were useful in facilitating the identification of a core prioritised set of diabetes outcome constructs for routine value-based diabetes care. The use of our method for involving patients may be useful for similar efforts in other disease areas aimed at defining suitable outcomes of person-centred value-based care. Future research should focus on developing acceptable and psychometrically valid measurement instruments to evaluate these outcome constructs as part of routine diabetes care.
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Affiliation(s)
- Soren Eik Skovlund
- Department of Clinical Medicine, Aalborg University, Sønderskovvej 15, 9000, Aalborg, Denmark.
- Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark.
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark.
| | - Lise H Troelsen
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
| | - Lotte Klim
- Danish Group for European Patients' Academy on Therapeutic Innovation (EUPATI), Copenhagen, Denmark
| | - Poul Erik Jakobsen
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
| | - Niels Ejskjaer
- Department of Clinical Medicine, Aalborg University, Sønderskovvej 15, 9000, Aalborg, Denmark
- Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
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Sasseville M, Chouinard MC, Fortin M. Evaluating the content of a patient-reported outcome measure for people with multimorbidity: a Delphi consensus. Qual Life Res 2021; 30:2951-2960. [PMID: 34036542 DOI: 10.1007/s11136-021-02888-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE Evidence supporting multimorbidity-adapted interventions is scarce, mostly due to a lack of adapted outcome measures. Measurement constructs for a novel patient-reported outcome measure (PROM) were defined in previous studies using a literature review, a qualitative description from stakeholders, and an item pool identification process. The aim of this study was to attain consensus on the content of this novel PROM. METHODS A three-round electronic modified Delphi technique was conducted using an academic and clinical expert panel. Using a Likert scale, the panel rated the relevance, improvability, and self-ratability of each construct and item of the preliminary version of the PROM. The main outcome was consensus attainment, defined as strong (≥ 70%), moderate (50-69%) or low agreement (< 50%). Constructs and items with strong consensus were kept, moderate were sent to the next round and low agreement were rejected. RESULTS From the 61 experts contacted, 39 participated in the first round of the Delphi, with a 12.8% attrition at the second round (n = 34) and 38.2% at the third round (n = 21). The panel included mostly female academic experts from nursing and medicine backgrounds. The preliminary PROM included 19 constructs and 70 items; from these, 16 constructs and 50 items attained consensus. The consensus attainment process excluded three constructs and their items: awareness, weight control and social integration. CONCLUSION Consensus was reached for a patient-reported outcome measure adapted for people with multimorbidity including 50 relevant, improvable and self-ratable items categorized under 16 constructs. As more interventions tailored to multimorbidity are implemented, there is an increasing need for a valid measure of the effectiveness of these interventions.
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Affiliation(s)
- Maxime Sasseville
- Research Chair On Chronic Diseases in Primary Care, Department of Family and Emergency Medicine, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, QC, Canada. .,Department of Health Sciences, Université du Québec à Chicoutimi, 555 boulevard de l'Université, Chicoutimi, Saguenay, QC, G7H 2B1, Canada.
| | - Maud-Christine Chouinard
- Nursing Faculty, Université de Montréal, Pavillon Marguerite-d'Youville, C.P. 6128 succ. Centre-ville, Montréal, QC, Canada
| | - Martin Fortin
- Research Chair On Chronic Diseases in Primary Care, Department of Family and Emergency Medicine, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, QC, Canada
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Self-Reported Satisfaction to Treatment, Quality of Life and General Health of Type 2 Diabetes Patients with Inadequate Glycemic Control from North-Eastern Romania. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18063249. [PMID: 33801100 PMCID: PMC8004112 DOI: 10.3390/ijerph18063249] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/18/2021] [Accepted: 03/19/2021] [Indexed: 11/22/2022]
Abstract
Type 2 diabetes mellitus (T2DM) undermines health and quality of life (QoL). This cross-sectional study surveyed 138 consenting T2DM patients from North-Eastern Romania with regard to their satisfaction with treatment, diabetes-related impact on QoL, and general health. The Romanian versions of Diabetes Treatment Satisfaction Questionnaire (DTSQ), Audit of Diabetes Dependent Quality of Life (ADDQoL-19), and 36-Item Short Form Health Survey (SF-36) questionnaires were used. Self-reports were analyzed in conjunction with clinical and metabolic profiling. The patients were 57.86 ± 8.82 years old, 49.3% men, treated with oral glucose-lowering drugs, presenting with inadequate glycemic control but without cardiovascular manifestations. The mean DTSQ and ADDQoL scores were 25.46 ± 0.61 and −2.22 ± 1.2, respectively. Freedom to eat, holidays, journeys, leisure, physical health, sex life, freedom to drink, and feelings about the future scored below average. The mean SF-36 physical and mental health scores were 47.78 ± 1.03 and 50.44 ± 1.38, respectively. The mean SF-6D score was 0.59 ± 0.04 (generated retrospectively using SF-36 data). Negative associations were significant between ADDQoL, age (r = −0.16), and body mass index (r = −0.23), p < 0.01. Overall scores did not correlate with diabetes duration (except DTSQ, r = −1.18, p = 0.02) or HbA1c. The results confirm other researchers’ findings in Europe and nearby countries. Our patients seemed satisfied with treatment despite glycemic imbalance and viewed diabetes as a burden on QoL and especially freedom to eat.
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Sasseville M, Chouinard MC, Fortin M. Understanding patient outcomes to develop a multimorbidity adapted patient-reported outcomes measure: a qualitative description of patient and provider perspectives. Health Qual Life Outcomes 2021; 19:43. [PMID: 33541383 PMCID: PMC7863435 DOI: 10.1186/s12955-021-01689-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 01/25/2021] [Indexed: 12/21/2022] Open
Abstract
Background Multimorbidity is a complex health situation that requires interventions tailored to patient needs; the outcomes of such interventions are difficult to evaluate. The purpose of this study was to describe the outcomes of patient-centred interventions for people with multimorbidity from the patients’ and healthcare providers’ perspectives.
Methods This study followed a qualitative descriptive design. Nine patients with multimorbidity and 18 healthcare professionals (nurses, general practitioners, nutritionists, and physical and respiratory therapists), participating in a multimorbidity-adapted intervention in primary care were recruited. Data were collected using semi-structured interviews with 12 open-ended questions. Triangulation of disciplines among interviewers, research team debriefing, data saturation assessment and iterative data collection and analysis ensured a rigorous research process.
Results Outcome constructs described by participants covered a wide range of themes and were grouped into seven outcome domains: Health Management, Physical Health, Functional Status, Psychosocial Health, Health-related Behaviours, General Health and Health Services. The description of constructs by stakeholders provides valuable insight on how outcomes are experienced and worded by patients. Conclusion Participants described a wide range of outcome constructs, which were relevant to and observable by patients and were in line with the clinical reality. The description provides a portrait of multimorbidity-adapted intervention outcomes that are significant for the selection and development of clinical research outcome measures.
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Affiliation(s)
- Maxime Sasseville
- Department of Health Sciences, Université du Québec à Chicoutimi, 555 boulebard université, Chicoutimi, Québec, G7H 2B1, Canada. .,Nursing Faculty, Université Laval, 2325, rue de l'Université, Québec, QC, G1V 0A6, Canada.
| | - Maud-Christine Chouinard
- Nursing Faculty, Université de Montréal, Pavillon Marguerite-d'Youville, C.P. 6128 succ. Centre-ville, Montréal, QC, H3C 3J7, Canada
| | - Martin Fortin
- Research Chair on Chronic Diseases in Primary Care, Department of Family and Emergency Medicine, Université de Sherbrooke, 3001, 12e Avenue Nord, Sherbrooke, QC, J1H 5N4, Canada
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Schoenthaler A, Cruz J, Payano L, Rosado M, Labbe K, Johnson C, Gonzalez J, Patxot M, Patel S, Leven E, Mann D. Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study. JMIR Form Res 2020; 4:e18554. [PMID: 32865505 PMCID: PMC7490676 DOI: 10.2196/18554] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 07/09/2020] [Accepted: 07/26/2020] [Indexed: 12/27/2022] Open
Abstract
Background Patient-reported outcomes (PROs) are increasingly being used in the management of type 2 diabetes (T2D) to integrate data from patients’ perspective into clinical care. To date, the majority of PRO tools have lacked patient and provider involvement in their development, thus failing to meet the unique needs of end users, and lack the technical infrastructure to be integrated into the clinic workflow. Objective This study aims to apply a systematic, user-centered design approach to develop i-Matter (investigating a mobile health [mHealth] texting tool for embedding patient-reported data into diabetes management), a theory-driven, mobile PRO system for patients with T2D and their primary care providers. Methods i-Matter combines text messaging with dynamic data visualizations that can be integrated into electronic health records (EHRs) and personalized patient reports. To build i-Matter, we conducted semistructured group and individual interviews with patients with T2D and providers, a design thinking workshop to refine initial ideas and design the prototype, and user testing sessions of prototypes using a rapid-cycle design (ie, design-test-modify-retest). Results Using an iterative user-centered process resulted in the identification of 6 PRO messages that were relevant to patients and providers: medication adherence, dietary behaviors, physical activity, sleep quality, quality of life, and healthy living goals. In user testing, patients recommended improvements to the wording and timing of the PRO text messages to increase clarity and response rates. Patients also recommended including motivational text messages to help sustain engagement with the program. The personalized report was regarded as a key tool for diabetes self-management by patients and providers because it aided in the identification of longitudinal patterns in the PRO data, which increased patient awareness of their need to adopt healthier behaviors. Patients recommended adding individualized tips to the journal on how they can improve their behaviors. Providers preferred having a separate tab built into the EHR that included the personalized report and highlighted key trends in patients’ PRO data over the past 3 months. Conclusions PRO tools that capture patients’ well-being and the behavioral aspects of T2D management are important to patients and providers. A clinical trial will test the efficacy of i-Matter in 282 patients with uncontrolled T2D. Trial Registration ClinicalTrials.gov NCT03652389; https://clinicaltrials.gov/ct2/show/NCT03652389
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Affiliation(s)
- Antoinette Schoenthaler
- NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States
| | - Jocelyn Cruz
- NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States
| | - Leydi Payano
- NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States
| | - Marina Rosado
- NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States
| | - Kristen Labbe
- NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States
| | - Chrystal Johnson
- NYU Langone Health, Medical Center Information Technology Enterprise Project Management Office, New York, NY, United States
| | - Javier Gonzalez
- NYU Langone Health, Department of Population Health, Digital DesignLab, New York, NY, United States
| | | | - Smit Patel
- Rip Road, Inc, New York, NY, United States
| | - Eric Leven
- Rip Road, Inc, New York, NY, United States
| | - Devin Mann
- NYU Langone Health, Department of Population Health, Healthcare Innovation Bridging Research, Informatics and Design Lab, New York, NY, United States
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Lygre RB, Thuen VM, Gjestad R, Norekvål TM, Greve G, Mildestvedt T, Elgen IB. How can we improve specialist health services for children with multi-referrals? Parent reported experience. BMC Health Serv Res 2020; 20:786. [PMID: 32831078 PMCID: PMC7446114 DOI: 10.1186/s12913-020-05666-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 08/18/2020] [Indexed: 12/02/2022] Open
Abstract
Background Children with combined mental and somatic conditions pose a challenge to specialized health services. These cases are often characterized by multi-referrals, frequent use of health services, poor clinical and cost effectiveness, and a lack of coordination and consistency in the care. Reorganizing the health services offered to these children seems warranted. Patient reported experiences give important evidence for evaluating and developing health services. The aim of the present descriptive study was to explore how to improve specialist health services for children with multiple referrals for somatic and mental health conditions. Based on parent reported experiences of health services, we attempted to identify key areas of improvement. Methods As part of a larger, ongoing project; “Transitioning patients’ Trajectories”, we asked parents of children with multiple referrals to both somatic and mental health departments to provide their experiences with the services their children received. Parents/guardians of 250 children aged 6–12 years with multi-referrals to the Departments of Pediatrics and Child and Adolescent Mental Health at Haukeland University Hospital between 2013 and 2015 were invited. Their experience was collected through a 14 items questionnaire based on a generic questionnaire supplied with questions from parents and health personnel. Possible associations between overall experience and possible predictors were analyzed using bivariate regression. Results Of the 250 parents invited, 148 (59%) responded. Mean scores on single items ranged from 3.18 to 4.42 on a 1–5 scale, where five is the best possible experience. In the multiple regression model, perception of wait time (r = .56, CI = .44–.69 / β = 0.16, CI = .05–.28), accommodation of consultations (r = .71, CI = .62–.80 / β = 0.25, CI = .06–.45 / β = 0.27, CI = .09–.44), providing adequate information about the following treatment (r = .66, CI = .55–.77 / β = 0.26, CI = .09–.43), and collaboration between different departments at the hospital (r = .68, CI = .57–.78 / β = 0.20, CI = -.01–.40) were all statistically significantly associated with parents overall experience of care. Conclusions The study support tailored interdisciplinary innovations targeting wait time, accommodation of consultations, communication regarding the following treatment and collaboration within specialist health services for children with multi-referrals to somatic and mental specialist health care services.
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Affiliation(s)
- Ragnhild B Lygre
- Department of Child and Adolescent Mental Health Services, Haukeland University Hospital, Bergen, Norway.
| | | | - Rolf Gjestad
- Research Department, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Tone M Norekvål
- Centre on Patient-reported Outcomes Data, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Gottfried Greve
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Thomas Mildestvedt
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Irene Bircow Elgen
- Department of Child and Adolescent Mental Health Services, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Danielis M, Palese A, Terzoni S, Destrebecq ALL. What nursing sensitive outcomes have been studied to-date among patients cared for in intensive care units? Findings from a scoping review. Int J Nurs Stud 2019; 102:103491. [PMID: 31862529 DOI: 10.1016/j.ijnurstu.2019.103491] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 10/18/2019] [Accepted: 11/22/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Although many studies have considered mortality and adverse effects as outcomes sensitive to nursing practice, it seems that other outcomes of nursing care in intensive care units have been explored less commonly. OBJECTIVES To describe the state-of-science in research in the field of nursing sensitive outcomes in intensive care units and to synthesize outcomes that have been documented to date as being influenced by nursing care. DESIGN A scoping review study based on the framework proposed by Arksey and O'Malley, further refined by the Levac and Joanna Briggs Institute was performed in 2019. DATA SOURCES The Medline, Cumulative Index to Nursing and Allied Health Literature, Web of Science, Scopus, and Google Scholar electronic databases were searched. In addition, the reference list of included articles was screened. REVIEW METHODS Two researchers independently identified publications on the basis of the following criteria: (a) articles that reported nursing sensitive outcomes on critically-ill adult patients admitted to the intensive care unit, (b) as primary and secondary studies, (c) written in English, and (d) without any time frame limitation. RESULTS Of the 4,231 records, 112 fully met the inclusion criteria and were included. Publications were mainly authored in the US and Canada (n = 44, 39.2%), and the majority (n = 62, 55.3%) had an observational design. A total of 233 nursing sensitive outcomes emerged, categorized in 35 outcomes, with, on average, two per study included. The most often measured outcomes were pressure ulcers (20 studies) and ventilator-associated pneumonias (19 studies); the less studied outcomes were quality of life, secretion clearance, patient-ventilator dysynchrony, and post-extubation dysphagia. When categorizing outcomes, the ones concerning safety (n = 77, 33.1%) were represented the most, followed by those concerning the clinical (n = 72, 30.9%), functional (n = 70, 30.0%), and perceptual (n = 14, 6.0%) domains. The interdependent outcomes linked to multi-professional interventions (e.g., ventilator-associated pneumonias) were the most frequently studied nursing sensitive outcomes (n = 20, 57.1%), while independent outcomes resulting from autonomous interventions performed by nurses were less often studied (n = 8, 22.9%). CONCLUSIONS From a clinical point of view, a large heterogeneity of outcomes influenced by nursing care emerged. However, identified outcomes have been studied with different approaches and metrics, so that future efforts will need to establish homogeneous conceptual and operative definitions. Moreover, increasing efforts in establishing perceptual outcomes, or those close to the fundamentals of nursing care, are suggested in order to better depict the contribution of critical care nurses in the field.
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Affiliation(s)
- Matteo Danielis
- Department of Clinical Sciences and Community Health, University of Milan, Via Vanzetti 5, 20133 Milan, Italy; School of Nursing, Department of Medical Sciences, University of Udine, Udine, Italy.
| | - Alvisa Palese
- School of Nursing, Department of Medical Sciences, University of Udine, Udine, Italy
| | - Stefano Terzoni
- School of Nursing, San Paolo Hospital, ASST Santi Paolo e Carlo, Milan, Italy
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Kastner M, Cardoso R, Lai Y, Treister V, Hamid JS, Hayden L, Wong G, Ivers NM, Liu B, Marr S, Holroyd-Leduc J, Straus SE. Effectiveness of interventions for managing multiple high-burden chronic diseases in older adults: a systematic review and meta-analysis. CMAJ 2018; 190:E1004-E1012. [PMID: 30150242 PMCID: PMC6110649 DOI: 10.1503/cmaj.171391] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/25/2018] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION More than half of older adults (age ≥ 65 yr) have 2 or more high-burden multimorbidity conditions (i.e., highly prevalent chronic diseases, which are associated with increased health care utilization; these include diabetes [DM], dementia, depression, chronic obstructive pulmonary disease [COPD], cardiovascular disease [CVD], arthritis, and heart failure [HF]), yet most existing interventions for managing chronic disease focus on a single disease or do not respond to the specialized needs of older adults. We conducted a systematic review and meta-analysis to identify effective multimorbidity interventions compared with a control or usual care strategy for older adults. METHODS We searched bibliometric databases for randomized controlled trials (RCTs) evaluating interventions for managing multiple chronic diseases in any language from 1990 to December 2017. The primary outcome was any outcome specific to managing multiple chronic diseases as reported by studies. Reviewer pairs independently screened citations and full-text articles, extracted data and assessed risk of bias. We assessed statistical and methodological heterogeneity and performed a meta-analysis of RCTs with similar interventions and components. RESULTS We included 25 studies (including 15 RCTs and 6 cluster RCTs) (12 579 older adults; mean age 67.3 yr). In patients with [depression + COPD] or [CVD + DM], care-coordination strategies significantly improved depressive symptoms (standardized mean difference -0.41; 95% confidence interval [CI] -0.59 to -0.22; I2 = 0%) and reduced glycosylated hemoglobin (HbA1c) levels (mean difference -0.51; 95% CI -0.90 to -0.11; I2 = 0%), but not mortality (relative risk [RR] 0.79; 95% CI 0.53 to 1.17; I2 = 0%). Among secondary outcomes, care-coordination strategies reduced functional impairment in patients with [arthritis + depression] (between-group difference -0.82; 95% CI -1.17 to -0.47) or [DM + depression] (between-group difference 3.21; 95% CI 1.78 to 4.63); improved cognitive functioning in patients with [DM + depression] (between-group difference 2.44; 95% CI 0.79 to 4.09) or [HF + COPD] (p = 0.006); and increased use of mental health services in those with [DM + (CVD or depression)] (RR 2.57; 95% CI 1.90 to 3.49; I2 = 0%). INTERPRETATION Subgroup analyses showed that older adults with diabetes and either depression or cardiovascular disease, or with coexistence of chronic obstructive pulmonary disease and heart failure, can benefit from care-coordination strategies with or without education to lower HbA1c, reduce depressive symptoms, improve health-related functional status, and increase the use of mental health services. PROTOCOL REGISTRATION PROSPERO-CRD42014014489.
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Affiliation(s)
- Monika Kastner
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont.
| | - Roberta Cardoso
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Yonda Lai
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Victoria Treister
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Jemila S Hamid
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Leigh Hayden
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Geoff Wong
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Noah M Ivers
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Barbara Liu
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Sharon Marr
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Jayna Holroyd-Leduc
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
| | - Sharon E Straus
- Knowledge Translation and Implementation unit (Kastner, Hayden), North York General Hospital, Li Ka Shing Knowledge Institute of St. Michael's Hospital (Kastner, Cardoso, Lai, Treister, Hamid, Straus); Institute of Health Policy, Management and Evaluation (Kastner), Dalla Lana School of Public Health, University of Toronto, Toronto, Ont.; Clinical Epidemiology and Biostatistics (Hamid), McMaster University, Hamilton, Ont.; Nuffield Department of Primary Care Health Sciences (Wong), University of Oxford, Oxford, UK; Family Practice Health Centre (Ivers), Women's College Research Institute, and Institute for Health System Solutions and Virtual Care, Women's College Hospital; Department of Family and Community Medicine and Institute of Health Policy (Ivers), Management and Evaluation, University of Toronto, Toronto; Regional Geriatric Program of Toronto (Liu), Sunnybrook Health Sciences, Geriatric Medicine, Toronto, Ont.; St. Peter's Hospital, Hamilton Health Sciences (Marr), Division of Geriatric Medicine (Marr), McMaster University, Hamilton, Ont.; Departments of Medicine and Community Health Sciences (Holroyd-Leduc), University of Calgary, Foothills Hospital, Calgary, Alta.; Department of Medicine (Straus), University of Toronto, Toronto, Ont
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