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      Patterns of Objective and Subjective Burden of Informal Caregivers in Multiple Sclerosis

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          Abstract

          Background. Home care for patients with Multiple Sclerosis (MS) relies largely on informal caregivers (ICs). Methods. We assessed ICs objective burden (Resource Utilization in Dementia measuring informal care time (ICT)) and ICs subjective burden (Zarit Burden Inventory (ZBI)). Results. ICs ( N = 99) were spouses (70%), mean age 52 years, assisting disabled patients with a mean EDSS (Expanded Disability Status Scale) of 5.5, with executive dysfunction (mean DEX (Dysexecutive questionnaire) of 25) and a duration of MS ranging from 1 to 44 years. Objective burden was high (mean ICT = 6.5 hours/day), mostly consisting of supervision time. Subjective burden was moderate (mean ZBI = 27.3). Multivariate analyses showed that both burdens were positively correlated with higher levels of EDSS and DEX, whereas coresidency and IC's female gender correlated with objective burden only and IC's poor mental health status with subjective burden only. When considering MS aggressiveness, it appeared that both burdens were not correlated with a higher duration of MS but rather increased for patients with severe and early dysexecutive function and for patients classified as fast progressors according to the Multiple Sclerosis Severity Score. Conclusion. Evaluation of MS disability course and IC's personal situation is crucial to understand the burden process and to implement adequate interventions in MS.

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          Most cited references49

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          Multiple Sclerosis Severity Score: using disability and disease duration to rate disease severity.

          There is no consensus method for determining progression of disability in patients with multiple sclerosis (MS) when each patient has had only a single assessment in the course of the disease. Using data from two large longitudinal databases, the authors tested whether cross-sectional disability assessments are representative of disease severity as a whole. An algorithm, the Multiple Sclerosis Severity Score (MSSS), which relates scores on the Expanded Disability Status Scale (EDSS) to the distribution of disability in patients with comparable disease durations, was devised and then applied to a collection of 9,892 patients from 11 countries to create the Global MSSS. In order to compare different methods of detecting such effects the authors simulated the effects of a genetic factor on disability. Cross-sectional EDSS measurements made after the first year were representative of overall disease severity. The MSSS was more powerful than the other methods the authors tested for detecting different rates of disease progression. The Multiple Sclerosis Severity Score (MSSS) is a powerful method for comparing disease progression using single assessment data. The Global MSSS can be used as a reference table for future disability comparisons. While useful for comparing groups of patients, disease fluctuation precludes its use as a predictor of future disability in an individual.
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            Disability in multiple sclerosis: a reference for patients and clinicians.

            To create a reference table of disability outcomes in multiple sclerosis (MS) that would enable patients to rank their disability relative to others' with similar disease duration and to develop a cost-effective research tool for comparing MS severity across patient populations and time periods. The North American Research Committee on Multiple Sclerosis (NARCOMS) Registry collects disability data from patients with MS on a validated, 9-point Patient-Determined Disease Steps (PDDS) scale. We compiled the Disability Expectancy Table, which displays cumulative frequencies of PDDS scores for each year of disease duration, from 0 to 45 years. We also tabulated disease duration-adjusted mean ranks of PDDS scores, referred to as Patient-derived MS Severity Scores (P-MSSS). The cohort consisted of 27,918 NARCOMS enrollees, 72.7% of whom were female and 90.1% of whom were white. Mean age at symptom onset was 30.1 ± 10.1 years, and age at enrollment was 47.1 ± 11.0 years. The Disability Expectancy Table and P-MSSS afford a detailed overview of disability outcomes in a large MS cohort over a 45-year period. In the first year of disease, 15% of patients reported need of ambulatory aid, and 4% needed bilateral assistance or worse; after 45 years of disease, 76% of patients required ambulatory aid, and 52% bilateral assistance or worse. Proportion of patients who reported minimal or no interference in daily activities (PDDS ≤ 1) declined from 63% in the first year to 8% after 45 years of disease. The Disability Expectancy Table allows individual patients to determine how their disability ranks relative to NARCOMS enrollees with the same disease duration. P-MSSS may be used to compare disability across patient populations and to track disease progression in patient cohorts. P-MSSS does not require a formal neurologic examination and may therefore find wide applicability as a practical and cost-effective outcome measure in epidemiologic studies.
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              An overview of methods and applications to value informal care in economic evaluations of healthcare.

              This paper compares several applied valuation methods for including informal care in economic evaluations of healthcare programmes: the proxy good method; the opportunity cost method; the contingent valuation method (CVM); conjoint measurement (CM); and valuation of health effects in terms of health-related quality of life (HR-QOL) and well-being. The comparison focuses on three questions: what outcome measures are available for including informal care in economic evaluations of healthcare programmes; whether these measures are compatible with the common types of economic evaluation; and, when applying these measures, whether all relevant aspects of informal care are incorporated. All types of economic evaluation can incorporate a monetary value of informal care (using the opportunity cost method, the proxy good method, CVM and CM) on the cost side of an analysis, but only when the relevant aspects of time costs have been valued. On the effect side of a cost-effectiveness or cost-utility analysis, the health effects (for the patient and/or caregiver) measured in natural units or QALYs can be combined with cost estimates based on the opportunity cost method or the proxy good method. One should be careful when incorporating CVM and CM in cost-minimization, cost-effectiveness and cost-utility analyses, as the health effects of patients receiving informal care and the carers themselves may also have been valued separately. One should determine whether the caregiver valuation exercise allows combination with other valuation techniques. In cost-benefit analyses, CVM and CM appear to be the best tools for the valuation of informal care. When researchers decide to use the well-being method, we recommend applying it in a cost-benefit analysis framework. This method values overall QOL (happiness); hence it is broader than just HR-QOL, which complicates inclusion in traditional health economic evaluations that normally define outcomes more narrowly. Using broader, non-monetary valuation techniques, such as the CarerQol instrument, requires a broader evaluation framework than cost-effectiveness/cost-utility analysis, such as cost-consequence or multi-criteria analysis.
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                Author and article information

                Journal
                Behav Neurol
                Behav Neurol
                BN
                Behavioural Neurology
                Hindawi Publishing Corporation
                0953-4180
                1875-8584
                2015
                20 May 2015
                : 2015
                : 648415
                Affiliations
                1Department of Neuro-Rehabilitation, Pitié-Salpêtrière Hospital, 75013 Paris, France
                2Health Economics Department, LEDa-LEGOS, PSL, Paris-Dauphine University, 75016 Paris, France
                3Department of Neurology, Pitié-Salpêtrière Hospital, 75013 Paris, France
                4ER6 Unit, Pierre and Marie Curie University, Pitié-Salpêtrière Hospital, 75013 Paris, France
                5CRICM, Inserm UMR S975, Pierre and Marie Curie University, Pitié-Salpêtrière Hospital, 75013 Paris, France
                Author notes

                Academic Editor: Antonio Orlacchio

                Article
                10.1155/2015/648415
                4452831
                26078487
                7f2f8f14-e3e2-4a78-af55-b030fbd9ce44
                Copyright © 2015 E. Bayen et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 February 2015
                : 30 April 2015
                Categories
                Research Article

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