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      Clinical Outcomes and Cost-Effectiveness of Collaborative Dementia Care : A Secondary Analysis of a Cluster Randomized Clinical Trial

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          Abstract

          This secondary analysis of a cluster randomized clinical trial investigates clinical outcomes and the cost-effectiveness of collaborative dementia care management compared with usual care among adults with dementia who live at home.

          Key Points

          Question

          Is collaborative dementia care management (CDCM) clinically effective and cost-effective over 36 months compared with usual care?

          Findings

          In this secondary analysis of a cluster randomized clinical trial of 308 patients with dementia, those receiving CDCM had significantly fewer behavioral and psychological symptoms and better mental health compared with those receiving usual care over 36 months. CDCM was associated with reduced caregiver burden and likely to have been cost-effective, especially for patients living alone.

          Meaning

          The findings suggest that CDCM is associated with improved patient, caregiver, and health system–relevant outcomes over 36 months and that its translation into routine care should become a health policy priority.

          Abstract

          Importance

          Long-term evidence for the effectiveness and cost-effectiveness of collaborative dementia care management (CDCM) is lacking.

          Objective

          To evaluate whether 6 months of CDCM is associated with improved patient clinical outcomes and caregiver burden and is cost-effective compared with usual care over 36 months.

          Design, Setting, and Participants

          This was a prespecified secondary analysis of a general practitioner (GP)–based, cluster randomized, 2-arm clinical trial conducted in Germany from January 1, 2012, to December 31, 2014, with follow-up until March 31, 2018. Participants were aged 70 years or older, lived at home, and screened positive for dementia. Data were analyzed from March 2011 to March 2018.

          Intervention

          The intervention group received CDCM, comprising a comprehensive needs assessment and individualized interventions by nurses specifically qualified for dementia care collaborating with GPs and health care stakeholders over 6 months. The control group received usual care.

          Main Outcomes and Measures

          Main outcomes were neuropsychiatric symptoms (Neuropsychiatric Inventory [NPI]), caregiver burden (Berlin Inventory of Caregivers’ Burden in Dementia [BIZA-D]), health-related quality of life (HRQOL, measured by the Quality of Life in Alzheimer Disease scale and 12-Item Short-Form Health Survey [SF-12]), antidementia drug treatment, potentially inappropriate medication, and cost-effectiveness (incremental cost per quality-adjusted life year [QALY]) over 36 months. Outcomes between groups were compared using multivariate regression models adjusted for baseline scores.

          Results

          A total of 308 patients, of whom 221 (71.8%) received CDCM (mean [SD] age, 80.1 [5.3] years; 142 [64.3%] women) and 87 (28.2%) received usual care (mean [SD] age, 79.2 [4.5] years; 50 [57.5%] women), were included in the clinical effectiveness analyses, and 428 (303 [70.8%] CDCM, 125 [29.2%] usual care) were included in the cost-effectiveness analysis (which included 120 patients who had died). Participants receiving CDCM showed significantly fewer behavioral and psychological symptoms (adjusted mean difference [AMD] in NPI score, −10.26 [95% CI, −16.95 to −3.58]; P = .003; Cohen d, −0.78 [95% CI, −1.09 to −0.46]), better mental health (AMD in SF-12 Mental Component Summary score, 2.26 [95% CI, 0.31-4.21]; P = .02; Cohen d, 0.26 [95% CI, −0.11 to 0.51]), and lower caregiver burden (AMD in BIZA-D score, −0.59 [95% CI, −0.81 to −0.37]; P < .001; Cohen d, −0.71 [95% CI, −1.03 to −0.40]). There was no difference between the CDCM group and usual care group in use of antidementia drugs (adjusted odds ratio, 1.91 [95% CI, 0.96-3.77]; P = .07; Cramér V, 0.12) after 36 months. There was no association with overall HRQOL, physical health, or use of potentially inappropriate medication. The CDCM group gained QALYs (0.137 [95% CI, 0.000 to 0.274]; P = .049; Cohen d, 0.20 [95% CI, −0.09 to 0.40]) but had no significant increase in costs (437€ [−5438€ to 6313€] [US $476 (95% CI, −$5927 to $6881)]; P = .87; Cohen d, 0.07 [95% CI, −0.14 to 0.28]), resulting in a cost-effectiveness ratio of 3186€ (US $3472) per QALY. Cost-effectiveness was significantly better for patients living alone (CDCM dominated, with lower costs and more QALYs gained) than for those living with a caregiver (47 538€ [US $51 816] per QALY).

          Conclusions and Relevance

          In this secondary analysis of a cluster randomized clinical trial, CDCM was associated with improved patient, caregiver, and health system–relevant outcomes over 36 months beyond the intervention period. Therefore, it should become a health policy priority to initiate translation of CDCM into routine care.

          Trial Registration

          ClinicalTrials.gov Identifier: NCT01401582

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          Most cited references66

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          Multiple imputation using chained equations: Issues and guidance for practice

          Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments. 2010 John Wiley & Sons, Ltd.
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            A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

            Regression methods were used to select and score 12 items from the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) to reproduce the Physical Component Summary and Mental Component Summary scales in the general US population (n=2,333). The resulting 12-item short-form (SF-12) achieved multiple R squares of 0.911 and 0.918 in predictions of the SF-36 Physical Component Summary and SF-36 Mental Component Summary scores, respectively. Scoring algorithms from the general population used to score 12-item versions of the two components (Physical Components Summary and Mental Component Summary) achieved R squares of 0.905 with the SF-36 Physical Component Summary and 0.938 with SF-36 Mental Component Summary when cross-validated in the Medical Outcomes Study. Test-retest (2-week)correlations of 0.89 and 0.76 were observed for the 12-item Physical Component Summary and the 12-item Mental Component Summary, respectively, in the general US population (n=232). Twenty cross-sectional and longitudinal tests of empirical validity previously published for the 36-item short-form scales and summary measures were replicated for the 12-item Physical Component Summary and the 12-item Mental Component Summary, including comparisons between patient groups known to differ or to change in terms of the presence and seriousness of physical and mental conditions, acute symptoms, age and aging, self-reported 1-year changes in health, and recovery for depression. In 14 validity tests involving physical criteria, relative validity estimates for the 12-item Physical Component Summary ranged from 0.43 to 0.93 (median=0.67) in comparison with the best 36-item short-form scale. Relative validity estimates for the 12-item Mental Component Summary in 6 tests involving mental criteria ranged from 0.60 to 107 (median=0.97) in relation to the best 36-item short-form scale. Average scores for the 2 summary measures, and those for most scales in the 8-scale profile based on the 12-item short-form, closely mirrored those for the 36-item short-form, although standard errors were nearly always larger for the 12-item short-form.
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              2020 Alzheimer's disease facts and figures

              (2020)
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                5 July 2024
                July 2024
                5 July 2024
                : 7
                : 7
                : e2419282
                Affiliations
                [1 ]German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
                [2 ]German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Rostock, Germany
                [3 ]Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
                [4 ]Institute for Health & Aging, University of California, San Francisco
                [5 ]Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco
                [6 ]Institute of Social Medicine, Occupational Health and Public Health, Faculty of Medicine, University of Leipzig, Leipzig, Germany
                [7 ]Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
                [8 ]Program for Health Economics and Outcome Measures, Hamilton, Canada
                [9 ]Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany
                Author notes
                Article Information
                Accepted for Publication: April 29, 2024.
                Published: July 5, 2024. doi:10.1001/jamanetworkopen.2024.19282
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2024 Michalowsky B et al. JAMA Network Open.
                Corresponding Author: Bernhard Michalowsky, PhD, German Center for Neurodegenerative Diseases, Rostock/Greifswald, Ellernholzstr 1-2, 17489 Greifswald, Germany ( bernhard.michalowsky@ 123456dzne.de ).
                Author Contributions: Drs Michalowsky and Platen had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Michalowsky, Blotenberg, Platen, Kilimann, Bohlken, Muehlichen, Xie, Thyrian, Hoffmann.
                Acquisition, analysis, or interpretation of data: Michalowsky, Blotenberg, Platen, Teipel, Kilimann, Portacolone, Raedke, Buchholz, Scharf, Xie, Thyrian, Hoffmann.
                Drafting of the manuscript: Michalowsky, Blotenberg, Platen, Teipel, Buchholz.
                Critical review of the manuscript for important intellectual content: Blotenberg, Platen, Teipel, Kilimann, Portacolone, Bohlken, Raedke, Scharf, Muehlichen, Xie, Thyrian, Hoffmann.
                Statistical analysis: Michalowsky, Platen, Teipel, Xie.
                Obtained funding: Muehlichen, Thyrian, Hoffmann.
                Administrative, technical, or material support: Blotenberg, Kilimann, Raedke, Muehlichen.
                Supervision: Michalowsky, Kilimann, Buchholz, Thyrian, Hoffmann.
                Conflict of Interest Disclosures: Dr Teipel reported serving on the advisory boards for Eisai and Lilly and on the advisory and data safety and monitoring boards for Biogen outside the submitted work. Dr Hoffmann reported receiving grants from the German Center for Neurodegenerative Diseases (DZNE), part of institutional funding for DZNE site Rostock/Greifswald, during the conduct of the study. No other disclosures were reported.
                Data Sharing Statement: See Supplement 3.
                Additional Contributions: We acknowledge the following individuals who contributed to this trial. Ines Abraham, RN, DZNE site Rostock/Greifswald, contributed to data assessment and the intervention; Tilly Eichler, PhD, DZNE site Rostock/Greifswald, to study design and implementation; Adina Dreier-Wolfgramm, PhD, Greifswald Medical School, University of Greifswald, to nurse qualification; Johannes Hertel, PhD, DZNE site Rostock/Greifswald, to statistical analyses; Ulrike Kempe, RN, DZNE site Rostock/Greifswald, to data assessment and the intervention; Sabine Schmidt, RN, Greifswald Medical School, University of Greifswald, to data assessment and the intervention; Vaska Böhmann, RN, Greifswald Medical School, University of Greifswald, to data assessment; Kathleen Dittmer, RN, Greifswald Medical School, University of Greifswald, to data assessment and the intervention; Saskia Moll, RN, Greifswald Medical School, University of Greifswald, to data assessment and the intervention; Daniel Fredrich, MSc, Greifswald Medical School, University of Greifswald, to development of the intervention management system; Henriette Rau, MSc, Greifswald Medical School, University of Greifswald, to information technology (IT); Georgia Böwing, PhD, DZNE site Rostock/Greifswald, to data assessment and the intervention; Thomas Fiss, PhD, DZNE site Rostock/Greifswald, to medication review; Steffen Richter, MSc, DZNE site Rostock/Greifswald, to IT; Matthias Lindner, MSc, DZNE site Rostock/Greifswald, to IT; Kerstin Albuerne, DZNE site Rostock/Greifswald, to data entry and monitoring; Andrea Pooch, BSc, DZNE site Rostock/Greifswald, to data entry and monitoring; Viktoria Kim-Boese, MSc, DZNE site Rostock/Greifswald, to study administration; Kerstin Wernecke, PhD, DZNE site Rostock/Greifswald, to study administration; Christiane Winkler, RN, DZNE site Rostock/Greifswald, to data assessments; and Diana Wucherer, PhD, DZNE site Rostock/Greifswald, to medication review. All persons mentioned were compensated for their contributions as part of their employment.
                Article
                zoi240630
                10.1001/jamanetworkopen.2024.19282
                11227088
                38967926
                7db429c4-30ee-49e6-9f09-227494928b84
                Copyright 2024 Michalowsky B et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 30 January 2024
                : 29 April 2024
                Categories
                Research
                Original Investigation
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                Geriatrics

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