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      Cost Determinants of Continuum-Care Episodes for Hip Fracture

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          Abstract

          Many factors affect the healthcare costs and outcomes in patients with hip fracture (HF). Through the construction of a Continuum-Care Episode (CCE), we investigated the costs of CCEs for HF and their determinants. We used data extracted from administrative databases of 5094 consecutive elderly patients hospitalized in 2017 in Emilia Romagna, Italy, to evaluate the overall costs of the CCE. We calculated the acute and post-acute costs from the date of the hospital admission to the end of the CCE. The determinants of costs by type of surgical intervention (total hip replacement, partial hip replacement, open reduction, and internal fixation) were investigated using generalized linear regression models. Regardless of the type of surgical intervention, hospital bed-based rehabilitation in public or private healthcare facilities either followed by rehabilitation in a community hospital/temporary nursing home beds or not were the strongest determinants of costs, while rehabilitation in intermediate care facilities alone was associated with lower costs. CCE’s cost and its variability is mainly related to the rehabilitation setting. Cost-wise, intermediate care resulted to be an appropriate setting for providing post-acute rehabilitation for HF, representing the one associated with lower overall costs. Intermediate care organizational setting should be privileged when planning integrated care HF pathways.

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          A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

          The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
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            Frailty in elderly people

            Frailty is the most problematic expression of population ageing. It is a state of vulnerability to poor resolution of homoeostasis after a stressor event and is a consequence of cumulative decline in many physiological systems during a lifetime. This cumulative decline depletes homoeostatic reserves until minor stressor events trigger disproportionate changes in health status. In landmark studies, investigators have developed valid models of frailty and these models have allowed epidemiological investigations that show the association between frailty and adverse health outcomes. We need to develop more efficient methods to detect frailty and measure its severity in routine clinical practice, especially methods that are useful for primary care. Such progress would greatly inform the appropriate selection of elderly people for invasive procedures or drug treatments and would be the basis for a shift in the care of frail elderly people towards more appropriate goal-directed care. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Comorbidity measures for use with administrative data.

              This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets. The study involved clinical and empirical review of comorbidity measures, development of a framework that attempts to segregate comorbidities from other aspects of the patient's condition, development of a comorbidity algorithm, and testing on heterogeneous and homogeneous patient groups. Data were drawn from all adult, nonmaternal inpatients from 438 acute care hospitals in California in 1992 (n = 1,779,167). Outcome measures were those commonly available in administrative data: length of stay, hospital charges, and in-hospital death. A comprehensive set of 30 comorbidity measures was developed. The comorbidities were associated with substantial increases in length of stay, hospital charges, and mortality both for heterogeneous and homogeneous disease groups. Several comorbidities are described that are important predictors of outcomes, yet commonly are not measured. These include mental disorders, drug and alcohol abuse, obesity, coagulopathy, weight loss, and fluid and electrolyte disorders. The comorbidities had independent effects on outcomes and probably should not be simplified as an index because they affect outcomes differently among different patient groups. The present method addresses some of the limitations of previous measures. It is based on a comprehensive approach to identifying comorbidities and separates them from the primary reason for hospitalization, resulting in an expanded set of comorbidities that easily is applied without further refinement to administrative data for a wide range of diseases.
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                Author and article information

                Journal
                Health Serv Insights
                Health Serv Insights
                HIS
                sphis
                Health Services Insights
                SAGE Publications (Sage UK: London, England )
                1178-6329
                16 February 2021
                2021
                : 14
                : 1178632921991122
                Affiliations
                [1 ]Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum–University of Bologna, Italy
                [2 ]School of Hygiene and Preventive Medicine, Alma Mater Studiorum–University of Bologna, Italy
                [3 ]1st Orthopedic and Traumatologic Clinic, IRCCS–Istituto Ortopedico Rizzoli, Bologna, Italy
                [4 ]Regional Agency for Health and Social Care, Emilia-Romagna Region - ASSR, Bologna, Italy
                [5 ]Department of Economics and CRIFSP-School of Advanced Studies in Health Policy, University of Bologna, Italy
                Author notes
                [*]Davide Golinelli, Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum–University of Bologna, Via San Giacomo 12, Bologna 40126, Italy. Email: davide.golinelli@ 123456unibo.it
                Author information
                https://orcid.org/0000-0001-7331-9520
                Article
                10.1177_1178632921991122
                10.1177/1178632921991122
                7894600
                33642863
                beabec0a-5e0c-4706-b409-8cc43d28ac42
                © The Author(s) 2021

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 11 October 2020
                : 8 January 2021
                Categories
                Original Research
                Custom metadata
                January-December 2021
                ts1

                hip fractures,healthcare costs,episode of care,rehabilitation,intermediate care facilities

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