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      Patients with unexplained physical symptoms have poorer quality of life and higher costs than other patient groups: a cross-sectional study on burden

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          Abstract

          Background

          To determine whether healthcare resources are allocated fairly, it is helpful to have information on the quality of life (QoL) of patients with Unexplained Physical Symptoms (UPS) and on the costs associated with them, and on how these relate to corresponding data in other patient groups. As studies to date have been limited to specific patient populations with UPS, the objective of this study was to assess QoL and costs in a general sample of patients with UPS using generic measures.

          Methods

          In a cross-sectional study, 162 patients with UPS reported on their QoL, use of healthcare resources and lost productivity in paid and unpaid work. To assess QoL, the generic SF-36 questionnaire was used, from which multidimensional quality-of-life scores and a one-dimensional score (utility) using the SF-6D scorings algorithm were derived. To assess costs, the TiC-P questionnaire was used.

          Results

          Patients with UPS reported a poor QoL. Their QoL was mostly decreased by limitations in functioning due to physical health, and the least by limitations in functioning due to emotional problems. The median of utilities was 0.57, and the mean was 0.58 (SD = .09).

          The cost for the use of healthcare services was estimated to be €3,123 (SD = €2,952) per patient per year. This cost was enlarged by work-related costs: absence from work (absenteeism), lower on-the-job productivity (presenteeism), and paid substitution of domestic tasks. The resulting mean total cost was estimated to be €6,815 per patient per year.

          Conclusions

          These findings suggest that patients with UPS have a high burden of disease and use a considerable amount of healthcare resources. In comparison with other patient groups, the QoL values of patients with UPS were among the poorest and their costs were among the highest of all patient groups. The burden for both patients and society helps to justify the allocation of sufficient resources to effective treatment for patients with UPS.

          Trial registration

          Nederlands Trial Register, NTR1609

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          Most cited references46

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          Measurement of health status. Ascertaining the minimal clinically important difference.

          In recent years quality of life instruments have been featured as primary outcomes in many randomized trials. One of the challenges facing the investigator using such measures is determining the significance of any differences observed, and communicating that significance to clinicians who will be applying the trial results. We have developed an approach to elucidating the significance of changes in score in quality of life instruments by comparing them to global ratings of change. Using this approach we have established a plausible range within which the minimal clinically important difference (MCID) falls. In three studies in which instruments measuring dyspnea, fatigue, and emotional function in patients with chronic heart and lung disease were applied the MCID was represented by mean change in score of approximately 0.5 per item, when responses were presented on a seven point Likert scale. Furthermore, we have established ranges for changes in questionnaire scores that correspond to moderate and large changes in the domains of interest. This information will be useful in interpreting questionnaire scores, both in individuals and in groups of patients participating in controlled trials, and in the planning of new trials.
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            The estimation of a preference-based measure of health from the SF-36.

            This paper reports on the findings of a study to derive a preference-based measure of health from the SF-36 for use in economic evaluation. The SF-36 was revised into a six-dimensional health state classification called the SF-6D. A sample of 249 states defined by the SF-6D have been valued by a representative sample of 611 members of the UK general population, using standard gamble. Models are estimated for predicting health state valuations for all 18,000 states defined by the SF-6D. The econometric modelling had to cope with the hierarchical nature of the data and its skewed distribution. The recommended models have produced significant coefficients for levels of the SF-6D, which are robust across model specification. However, there are concerns with some inconsistent estimates and over prediction of the value of the poorest health states. These problems must be weighed against the rich descriptive ability of the SF-6D, and the potential application of these models to existing and future SF-36 data set.
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              Somatization increases medical utilization and costs independent of psychiatric and medical comorbidity.

              Somatoform disorders are an important determinant of medical care utilization, but their independent effect on utilization is difficult to determine because somatizing patients frequently have psychiatric and medical comorbidity. To assess the extent of the overlap of somatization with other psychiatric disorders; to compare the medical utilization of somatizing and nonsomatizing patients; and to determine the independent contribution of somatization alone to utilization. Patients were surveyed with self-report questionnaires assessing somatization and psychiatric disorder. Medical care utilization was obtained from automated encounter data for the year preceding the index visit. Medical morbidity was indexed with a computerized medical record audit. Two hospital-affiliated primary care practices. Consecutive adults making scheduled visits to their primary care physicians on randomly chosen days. In all, 2668 questionnaires were distributed, and 1914 (71.7%) were returned. Of these, 1546 (80.8%) contained complete data and met eligibility criteria. Medical care utilization and costs within our hospital system in the preceding 12 months. Two hundred ninety-nine patients (20.5%) received a provisional diagnosis of somatization; 42.3% of these patients had no comorbid depressive or anxiety disorder. Somatizing patients, when compared with nonsomatizing patients, had more primary care visits (mean [SE], 4.90 [0.32] vs 3.43 [0.11]; P<.001); more specialty visits (mean [SE], 8.13 [0.55] vs 4.90 [0.21]; P<.001); more emergency department visits (mean [SE], 1.29 [0.15] vs 0.52 [0.036]; P<.001); more hospital admissions (mean [SE], 0.32 [0.051] vs 0.13 [0.014]; P<.001); higher inpatient costs (mean [SE], USD 3146 [USD 380] vs USD 991 [USD 193]; P<.001); and higher outpatient costs (mean [SE], USD 3208 [USD 180] vs USD 1771 [USD 91]; P<.001). When these results were adjusted for the presence of comorbid anxiety and depressive disorders, major medical morbidity, and sociodemographic characteristics, patients with somatoform disorder still had more primary care visits (P = .04), more specialist visits (P = .002), more emergency department visits (P<.001), more hospital admissions (P<.001), more ambulatory procedures (P<.001), higher inpatient costs (P<.001), and higher outpatient costs (P<.001). When these findings are extrapolated to the national level, an estimated USD 256 billion a year in medical care costs are attributable to the incremental effect of somatization alone. Patients with somatization had approximately twice the outpatient and inpatient medical care utilization and twice the annual medical care costs of nonsomatizing patients. Adjusting the findings for the presence of psychiatric and medical comorbidity had relatively little effect on this association.
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                Author and article information

                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central
                1472-6963
                2013
                17 December 2013
                : 13
                : 520
                Affiliations
                [1 ]Department of Psychiatry, Section Medical Psychology and Psychotherapy, Erasmus Medical Center, PO Box 2040, 3000, CA Rotterdam, The Netherlands
                [2 ]Department of Anesthesiology, Academic Medical Center, University of Amsterdam, PO Box 22660, 1100, DD Amsterdam, The Netherlands
                [3 ]Department of Medical Psychology, Academic Medical Center, University of Amsterdam, PO Box 22660, 1100, DD Amsterdam, The Netherlands
                [4 ]Department of Psychotherapy, Riagg Rijnmond, Stationsplein 2, 3112, HJ Schiedam, The Netherlands
                Article
                1472-6963-13-520
                10.1186/1472-6963-13-520
                3878564
                24344899
                e9627e78-cb65-461f-a2fc-ed2d209fc0d4
                Copyright © 2013 Zonneveld et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 April 2013
                : 9 December 2013
                Categories
                Research Article

                Health & Social care
                absenteeism,chronic disease,presenteeism,production loss,somatic symptom disorder,burden,costs,healthcare utilization,quality of life,somatoform disorder,unexplained physical symptoms

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