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      Effectiveness of a community program for older adults with type 2 diabetes and multimorbidity: a pragmatic randomized controlled trial

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          Abstract

          Background

          Type II diabetes mellitus (T2DM) affects upwards of 25% of Canadian older adults and is associated with high comorbidity and burden. Studies show that lifestyle factors and self-management are associated with improved health outcomes, but many studies lack rigour or exclude older adults, particularly those with multimorbidity. More evidence is needed on the effectiveness of community-based self-management programs in older adults with T2DM and multimorbidity. The study purpose is to evaluate the effect of a community-based intervention versus usual care on physical functioning, mental health, depressive symptoms, anxiety, self-efficacy, self-management, and healthcare costs in older adults with T2DM and 2 or more comorbidities.

          Methods

          Community-living older adults with T2DM and two or more chronic conditions were recruited from three Primary Care Networks (PCNs) in Alberta, Canada. Participants were randomly allocated to the intervention or control group in this pragmatic randomized controlled trial comparing the intervention to usual care. The intervention involved up to three in-home visits, a monthly group wellness program, monthly case conferencing, and care coordination. The primary outcome was physical functioning. Secondary outcomes included mental functioning, anxiety, depressive symptoms, self-efficacy, self-management, and the cost of healthcare service use. Intention-to-treat analysis was performed using ANCOVA modeling.

          Results

          Of 132 enrolled participants (70-Intervention, 62-Control), 42% were 75 years or older, 55% were female, and over 75% had at least six chronic conditions (in addition to T2DM). No significant group differences were seen for the baseline to six-month change in physical functioning (mean difference: -0.74; 95% CI: − 3.22, 1.74; p-value: 0.56), mental functioning (mean difference: 1.24; 95% CI: − 1.12, 3.60; p-value: 0.30), or other secondary outcomes..

          Conclusion

          No significant group differences were seen for the primary outcome, physical functioning (PCS). Program implementation, baseline differences between study arms and chronic disease management services that are part of usual care may have contributed to the modest study results. Fruitful areas for future research include capturing clinical outcome measures and exploring the impact of varying the type and intensity of key intervention components such as exercise and diet.

          Trial registration

          NCT02158741 Date of registration: June 9, 2014.

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          Most cited references12

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          Effect of a self-management program on patients with chronic disease.

          For patients with chronic disease, there is growing interest in "self-management" programs that emphasize the patients' central role in managing their illness. A recent randomized clinical trial demonstrated the potential of self-management to improve health status and reduce health care utilization in patients with chronic diseases. To evaluate outcomes of a chronic disease self-management program in a real-world" setting. Before-after cohort study. Of the 613 patients from various Kaiser Permanente hospitals and clinics recruited for the study, 489 had complete baseline and follow-up data. The Chronic Disease Self-Management Program is a 7-week, small-group intervention attended by people with different chronic conditions. It is taught largely by peer instructors from a highly structured manual. The program is based on self-efficacy theory and emphasizes problem solving, decision making, and confidence building. Health behavior, self-efficacy (confidence in ability to deal with health problems), health status, and health care utilization, assessed at baseline and at 12 months by self-administered questionnaires. At 1 year, participants in the program experienced statistically significant improvements in health behaviors (exercise, cognitive symptom management, and communication with physicians), self-efficacy, and health status (fatigue, shortness of breath, pain, role function, depression, and health distress) and had fewer visits to the emergency department (ED) (0.4 visits in the 6 months prior to baseline, compared with 0.3 in the 6 months prior to follow-up; P = 0.05). There were slightly fewer outpatient visits to physicians and fewer days in hospital, but the differences were not statistically significant. Results were of about the same magnitude as those observed in a previous randomized, controlled trial. Program costs were estimated to be about $200 per participant. We replicated the results of our previous clinical trial of a chronic disease self-management program in a "real-world" setting. One year after exposure to the program, most patients experienced statistically significant improvements in a variety of health outcomes and had fewer ED visits.
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            The relationship between physical and mental health: A mediation analysis

            There is a strong link between mental health and physical health, but little is known about the pathways from one to the other. We analyse the direct and indirect effects of past mental health on present physical health and past physical health on present mental health using lifestyle choices and social capital in a mediation framework. We use data on 10,693 individuals aged 50 years and over from six waves (2002-2012) of the English Longitudinal Study of Ageing. Mental health is measured by the Centre for Epidemiological Studies Depression Scale (CES) and physical health by the Activities of Daily Living (ADL). We find significant direct and indirect effects for both forms of health, with indirect effects explaining 10% of the effect of past mental health on physical health and 8% of the effect of past physical health on mental health. Physical activity is the largest contributor to the indirect effects. There are stronger indirect effects for males in mental health (9.9%) and for older age groups in mental health (13.6%) and in physical health (12.6%). Health policies aiming at changing physical and mental health need to consider not only the direct cross-effects but also the indirect cross-effects between mental health and physical health.
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              Management of multimorbidity using a patient-centred care model: a pragmatic cluster-randomised trial of the 3D approach

              Summary Background The management of people with multiple chronic conditions challenges health-care systems designed around single conditions. There is international consensus that care for multimorbidity should be patient-centred, focus on quality of life, and promote self-management towards agreed goals. However, there is little evidence about the effectiveness of this approach. Our hypothesis was that the patient-centred, so-called 3D approach (based on dimensions of health, depression, and drugs) for patients with multimorbidity would improve their health-related quality of life, which is the ultimate aim of the 3D intervention. Methods We did this pragmatic cluster-randomised trial in general practices in England and Scotland. Practices were randomly allocated to continue usual care (17 practices) or to provide 6-monthly comprehensive 3D reviews, incorporating patient-centred strategies that reflected international consensus on best care (16 practices). Randomisation was computer-generated, stratified by area, and minimised by practice deprivation and list size. Adults with three or more chronic conditions were recruited. The primary outcome was quality of life (assessed with EQ-5D-5L) after 15 months' follow-up. Participants were not masked to group assignment, but analysis of outcomes was blinded. We analysed the primary outcome in the intention-to-treat population, with missing data being multiply imputed. This trial is registered as an International Standard Randomised Controlled Trial, number ISRCTN06180958. Findings Between May 20, 2015, and Dec 31, 2015, we recruited 1546 patients from 33 practices and randomly assigned them to receive the intervention (n=797) or usual care (n=749). In our intention-to-treat analysis, there was no difference between trial groups in the primary outcome of quality of life (adjusted difference in mean EQ-5D-5L 0·00, 95% CI −0·02 to 0·02; p=0·93). 78 patients died, and the deaths were not considered as related to the intervention. Interpretation To our knowledge, this trial is the largest investigation of the international consensus about optimal management of multimorbidity. The 3D intervention did not improve patients' quality of life. Funding National Institute for Health Research.
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                Author and article information

                Contributors
                miklavcic@chapman.edu
                kdfraser@ualberta.ca
                ploegj@mcmaster.ca
                mreid@mcmaster.ca
                fisheka@mcmaster.ca
                gafni@mcmaster.ca
                griffith@mcmaster.ca
                shirst@ucalgary.ca
                cherylas@ualberta.ca
                thabanl@mcmaster.ca
                jean.triscott@ualberta.ca
                ross.upshur@utoronto.ca
                Journal
                BMC Geriatr
                BMC Geriatr
                BMC Geriatrics
                BioMed Central (London )
                1471-2318
                13 May 2020
                13 May 2020
                2020
                : 20
                : 174
                Affiliations
                [1 ]GRID grid.254024.5, ISNI 0000 0000 9006 1798, Schmid College of Science and Technology, , Chapman University, ; Orange, California 92866 USA
                [2 ]GRID grid.254024.5, ISNI 0000 0000 9006 1798, School of Pharmacy, , Chapman University, ; Irvine, California 92618 USA
                [3 ]GRID grid.17089.37, Faculty of Nursing, , University of Alberta, ; Edmonton, Alberta T6G2R3 Canada
                [4 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, School of Nursing, and Scientific Director, Aging, Community and Health Research Unit, , School of Nursing McMaster University, ; 1280 Main Street West, Hamilton, ON L8S 4K1 Canada
                [5 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, Aging, Community and Health Research Unit, , School of Nursing, McMaster University, ; Hamilton, Canada
                [6 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, McMaster Institute for Research on Aging/Collaborative for Health and Aging (OSSU SPOR Research Centre), Associate Member, Health, Evidence and Impact, , McMaster University, ; 1280 Main Street West, Hamilton, ON L8S 4K1, HSC 3N25B Canada
                [7 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, Aging, Community and Health Research Unit, School of Nursing, , McMaster University, ; 1280 Main Street West, Hamilton, ON L8S 4K1 Canada
                [8 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, Department of Health Research Methods, Evidence, and Impact; and Centre for Health Economics and Policy Analysis, , McMaster University, ; Hamilton, Ontario L8S 4K1 Canada
                [9 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, Department of Health Research Methods, Evidence, and Impact, , McMaster University, ; 1280 Main Street West, Hamilton, ON L8S 4K1 Canada
                [10 ]GRID grid.22072.35, ISNI 0000 0004 1936 7697, Faculty of Nursing, , University of Calgary, ; Calgary, Alberta T2N 1N4 Canada
                [11 ]GRID grid.17089.37, Faculty of Pharmacy and Pharmaceutical Sciences, , University of Alberta, ; 3-171 Edmonton Clinic Health Academy, Edmonton, Alberta T6G 1C9 Canada
                [12 ]GRID grid.25073.33, ISNI 0000 0004 1936 8227, Department of Health Research Methods, Evidence, and Impact, , McMaster University, ; Hamilton, Ontario L8S 4K1 Canada
                [13 ]GRID grid.413136.2, ISNI 0000 0000 8590 2409, Care of the Elderly Division, , Glenrose Rehabilitation Hospital, ; Rm 1244 10230-111 Avenue, Edmonton, Alberta T5G 0B7 Canada
                [14 ]GRID grid.17089.37, Department of Family Medicine, Faculty of Medicine & Dentistry, , University of Alberta, ; Edmonton, Canada
                [15 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Division of Clinical Public Health, Dalla Lana School of Public Health, , University of Toronto, ; Room 678 155 College Street, Toronto, Ontario M5T 3M7 Canada
                Author information
                http://orcid.org/0000-0001-7676-1939
                http://orcid.org/0000-0001-8168-8449
                http://orcid.org/0000-0002-4019-7077
                http://orcid.org/0000-0001-8342-1238
                http://orcid.org/0000-0001-8279-8172
                http://orcid.org/0000-0002-2794-9692
                http://orcid.org/0000-0002-4526-7054
                http://orcid.org/0000-0002-6383-5887
                Article
                1557
                10.1186/s12877-020-01557-0
                7218835
                32404059
                4836a509-c022-45fe-8c88-b9506bd6e3ca
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 28 August 2019
                : 13 April 2020
                Funding
                Funded by: Canadian Institutes of Health Research Signature Initiative in Community-Based Primary Healthcare
                Award ID: TTF 128261
                Award Recipient :
                Funded by: Ontario Ministry of Health and Long-Term Care Health System Research Fund Program
                Award ID: 06669
                Award Recipient :
                Funded by: Canadian Institute of Health Research Tier 2 Canada Research Chair
                Award ID: 950-231515
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Geriatric medicine
                type 2 diabetes mellitus,comorbidity,older adults,self-management,aging,community-based program

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