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      Patterns of Multimorbidity and Differences in Healthcare Utilization and Complexity Among Acutely Hospitalized Medical Patients (≥65 Years) – A Latent Class Approach

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          Abstract

          Purpose

          The majority of acutely admitted older medical patients are multimorbid, receive multiple drugs, and experience a complex treatment regime. To be able to optimize treatment and care, we need more knowledge of the association between different patterns of multimorbidity and healthcare utilization and the complexity thereof. The purpose was therefore to investigate patterns of multimorbidity in a Danish national cohort of acutely hospitalized medical patients aged 65 and older and to determine the association between these multimorbid patterns with the healthcare utilization and complexity.

          Patients and Methods

          Longitudinal cohort study of 129,900 (53% women) patients. Latent class analysis (LCA) was used to develop patterns of multimorbidity based on 22 chronic conditions ascertained from Danish national registers. A latent class regression was used to test for differences in healthcare utilization and healthcare complexity among the patterns measured in the year leading up to the index admission.

          Results

          LCA identified eight distinct multimorbid patterns. Patients belonging to multimorbid patterns including the major chronic conditions; diabetes and chronic obstructive pulmonary disease was associated with higher odds of healthcare utilization and complexity than the reference pattern (“Minimal chronic conditions”). The pattern with the highest number of chronic conditions did not show the highest healthcare utilization nor complexity.

          Conclusion

          Our study showed that chronic conditions cluster together and that these patterns differ in healthcare utilization and complexity. Patterns of multimorbidity have the potential to be used in epidemiological studies of healthcare planning but should be confirmed in other population-based studies.

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          Most cited references39

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          Recovery of activities of daily living in older adults after hospitalization for acute medical illness.

          To compare functional outcomes in the year after discharge for older adults discharged from the hospital after an acute medical illness with a new or additional disability in their basic self-care activities of daily living (ADL) (compared with preadmission baseline 2 weeks before admission) with those of older adults discharged with baseline ADL function and identify predictors of failure to recover to baseline function 1 year after discharge. Observational. Tertiary care hospital, community teaching hospital. Older (aged >or=70) patients nonelectively admitted to general medical services (1993-1998). Number of ADL disabilities at preadmission baseline and 1, 3, 6, and 12 months after discharge. Outcomes were death, sustained decline in ADL function, and recovery to baseline ADL function at each time point. By 12 months after discharge, of those discharged with new or additional ADL disability, 41.3% died, 28.6% were alive but had not recovered to baseline function, and 30.1% were at baseline function. Of those discharged at baseline function, 17.8% died, 15.2% were alive but with worse than baseline function, and 67% were at their baseline function (P<.001). Of those discharged with new or additional ADL disability, the presence or absence of recovery by 1 month was associated with long-term outcomes. Age, cardiovascular disease, dementia, cancer, low albumin, and greater number of dependencies in instrumental ADLs independently predicted failure to recover. For older adults discharged with new or additional disability in ADL after hospitalization for medical illness, prognosis for functional recovery is poor. Rehabilitation interventions of longer duration and timing than current reimbursement allows, caregiver support, and palliative care should be evaluated.
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            Guidelines for people not for diseases: the challenges of applying UK clinical guidelines to people with multimorbidity.

            currently one of the major challenges facing clinical guidelines is multimorbidity. Current guidelines are not designed to consider the cumulative impact of treatment recommendations on people with several conditions, nor to allow comparison of relative benefits or risks. This is despite the fact that multimorbidity is a common phenomenon. to examine the extent to which National Institute of Health and Clinical Excellence (NICE) guidelines address patient comorbidity, patient centred care and patient compliance to treatment recommendations. five NICE clinical guidelines were selected for review (type-2 diabetes mellitus, secondary prevention for people with myocardial infarction, osteoarthritis, chronic obstructive pulmonary disease and depression) as these conditions are common causes of comorbidity and the guidelines had all been produced since 2007. Two authors extracted information from each full guideline and noted the extent to which the guidelines accounted for patient comorbidity, patient centred care and patient compliance. The cumulative recommended treatment, follow-up and self-care regime for two hypothetical patients were then created to illustrate the potential cumulative impact of applying single disease recommendations to people with multimorbidity. comorbidity and patient adherence were inconsistently accounted for in the guidelines, ranging from extensive discussion to none at all. Patient centred care was discussed in generic terms across the guidelines with limited disease-specific recommendations for clinicians. Explicitly following guideline recommendations for our two hypothetical patients would lead to a considerable treatment burden, even when recommendations were followed for mild to moderate conditions. In addition, the follow-up and self-care regime was complex potentially presenting problems for patient compliance. clinical guidelines have played an important role in improving healthcare for people with long-term conditions. However, in people with multimorbidity current guideline recommendations rapidly cumulate to drive polypharmacy, without providing guidance on how best to prioritise recommendations for individuals in whom treatment burden will sometimes be overwhelming.
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              Multimorbidity, health care utilization and costs in an elderly community-dwelling population: a claims data based observational study

              Background Chronic conditions and multimorbidity have become one of the main challenges in health care worldwide. However, data on the burden of multimorbidity are still scarce. The purpose of this study is to examine the association between multimorbidity and the health care utilization and costs in the Swiss community-dwelling population, taking into account several sociodemographic factors. Methods The study population consists of 229'493 individuals aged 65 or older who were insured in 2013 by the Helsana Group, the leading health insurer in Switzerland, covering all 26 Swiss cantons. Multimorbidity was defined as the presence of two or more chronic conditions of a list of 22 conditions that were identified using an updated measure of the Pharmacy-based Cost Group model. The number of consultations (total and divided by primary care physicians and specialists), the number of different physicians contacted, the type of physician contact (face-to-face, phone, and home visits), the number of hospitalisations and the length of stay were assessed separately for the multimorbid and non-multimorbid sample. The costs (total and divided by inpatient and outpatient costs) covered by the compulsory health insurance were calculated for both samples. Multiple linear regression modelling was conducted to adjust for influencing factors: age, sex, linguistic region, purchasing power, insurance plan, and nursing dependency. Results Prevalence of multimorbidity was 76.6%. The mean number of consultations per year was 15.7 in the multimorbid compared to 4.4 in the non-multimorbid sample. Total costs were 5.5 times higher in multimorbid patients. Each additional chronic condition was associated with an increase of 3.2 consultations and increased costs of 33%. Strong positive associations with utilization and costs were also found for nursing dependency. Multimorbid patients were 5.6 times more likely to be hospitalised. Furthermore, results revealed a significant age-gender interaction and a socioeconomic gradient. Conclusions Multimorbidity is associated with substantial higher health care utilization and costs in Switzerland. Quantified data on the current burden of multimorbidity are fundamental for the management of patients in health service delivery systems and for health care policy debates about resource allocation. Strategies for a better coordination of multimorbid patients are urgently needed. Electronic supplementary material The online version of this article (doi:10.1186/s12913-015-0698-2) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Clin Epidemiol
                Clin Epidemiol
                CLEP
                clinepid
                Clinical Epidemiology
                Dove
                1179-1349
                28 February 2020
                2020
                : 12
                : 245-259
                Affiliations
                [1 ]Clinical Research Centre, Copenhagen University Hospital Hvidovre , Hvidovre, Denmark
                [2 ]Department of Clinical Medicine, University of Copenhagen , Copenhagen, Denmark
                [3 ]Department of Physical and Occupational Therapy, Physical Medicine & Rehabilitation Research - Copenhagen (PMR-C), Copenhagen University Hospital Hvidovre , Hvidovre, Denmark
                [4 ]Research Unit for General Practice , Aarhus, Denmark
                [5 ]Department of Orthopedic Surgery, Copenhagen University Hospital Hvidovre , Hvidovre, Denmark
                [6 ]Emergency Department, Copenhagen University Hospital Hvidovre , Hvidovre, Denmark
                [7 ]Centre for Clinical Research and Prevention, Copenhagen University Hospital Bispebjerg and Frederiksberg , Copenhagen, Denmark
                [8 ]Section of Biostatistics, Department of Public Health, University of Copenhagen , Copenhagen, Denmark
                Author notes
                Correspondence: Helle Gybel Juul-Larsen Clinical Research Centre, Section 056, Copenhagen University, Amager and Hvidovre Hospitals , Kettegård Allé 30, HvidovreDK-2650, DenmarkTel +45 38626077 Email helle.juul-larsen@regionh.dk
                Author information
                http://orcid.org/0000-0002-4801-4335
                http://orcid.org/0000-0001-6884-1971
                http://orcid.org/0000-0002-7356-6481
                http://orcid.org/0000-0002-0199-1577
                http://orcid.org/0000-0001-7323-2548
                Article
                226586
                10.2147/CLEP.S226586
                7053819
                32184671
                18f7df1a-b931-4ab4-8f61-c904721fb825
                © 2020 Juul-Larsen et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 09 August 2019
                : 12 November 2019
                Page count
                Figures: 4, Tables: 4, References: 65, Pages: 15
                Categories
                Original Research

                Public health
                chronic conditions,multimorbidity,older medical patients,acute hospitalization,latent class analysis

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