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      How do patients enter the healthcare system after the first onset of multiple sclerosis symptoms? The influence of setting and physician specialty on speed of diagnosis

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          Abstract

          Background:

          Diagnosing multiple sclerosis (MS) early is crucial to avoid future disability. However, potentially preventable delays in the diagnostic cascade from contact with a physician to definite diagnosis still occur and their causes are still unclear.

          Objective:

          To identify the possible causes of delays in the diagnostic process.

          Methods:

          We analyzed the data of the Swiss MS Registry. With logistic regression, we modeled the time from the first contact to the first consultation (contact-to-evaluation time, ⩽1 month/>1 month) and the evaluation-to-diagnosis time (⩽6 months/>6 months). Potential factors were health system characteristics, sociodemographic variables, first symptoms, and MS type.

          Results:

          We included 522 participants. Mostly, general practitioners (67%) were contacted first, without delaying the diagnosis. In contrast, first symptoms and MS type were the major contributors to delays: gait problems were associated with longer contact-to-evaluation times, depression as a concomitant symptom with longer evaluation-to-diagnosis times, and having primary progressive MS prolonged both phases. In addition, living in mountainous areas was associated with longer contact-to-evaluation times, whereas diagnosis after 2000 was associated with faster diagnoses.

          Conclusion:

          For a quicker diagnosis, awareness of MS as a differential diagnosis of gait disorders and the co-occurrence of depression at onset should be raised, and these symptoms should be attentively followed.

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          Most cited references20

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          Comorbidity delays diagnosis and increases disability at diagnosis in MS.

          Comorbidity is common in the general population and is associated with adverse health outcomes. In multiple sclerosis (MS), it is unknown whether preexisting comorbidity affects the delay between initial symptom onset and diagnosis ("diagnostic delay") or the severity of disability at MS diagnosis. Using the North American Research Committee on Multiple Sclerosis Registry, we assessed the association between comorbidity and both the diagnostic delay and severity of disability at diagnosis. In 2006, we queried participants regarding physical and mental comorbidities, including date of diagnosis, smoking status, current height, and past and present weight. Using multivariate Cox regression, we compared the diagnostic delay between participants with and without comorbidity at diagnosis. We classified participants enrolled within 2 years of diagnosis (n = 2,375) as having mild, moderate, or severe disability using Patient Determined Disease Steps, and assessed the association of disability with comorbidity using polytomous logistic regression. The study included 8,983 participants. After multivariable adjustment for demographic and clinical characteristics, the diagnostic delay increased if obesity, smoking, or physical or mental comorbidities were present. Among participants enrolled within 2 years of diagnosis, the adjusted odds of moderate as compared to mild disability at diagnosis increased in participants with vascular comorbidity (odds ratio [OR] 1.51, 95% CI 1.12-2.05) or obesity (OR 1.38, 95% CI 1.02-1.87). The odds of severe as compared with mild disability increased with musculoskeletal (OR 1.81, 95% CI 1.25-2.63) or mental (OR 1.62, 95% CI 1.23-2.14) comorbidity. Both diagnostic delay and disability at diagnosis are influenced by comorbidity. The mechanisms underlying these associations deserve further investigation.
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            The disease burden of Multiple Sclerosis from the individual and population perspective: Which symptoms matter most?

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              • Abstract: not found
              • Article: not found

              Early versus later treatment start in multiple sclerosis: a register-based cohort study

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                Author and article information

                Contributors
                Journal
                Mult Scler
                Mult. Scler
                MSJ
                spmsj
                Multiple Sclerosis (Houndmills, Basingstoke, England)
                SAGE Publications (Sage UK: London, England )
                1352-4585
                1477-0970
                18 January 2019
                April 2020
                : 26
                : 4
                : 489-500
                Affiliations
                [1-1352458518823955]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
                [2-1352458518823955]Department of Neurology, University Hospital Bern and University of Bern, Bern, Switzerland/Neurology and Neurorehabilitation Centre, Lucerne Cantonal Hospital, Lucerne, Switzerland
                [3-1352458518823955]Department of Neurology, University Hospital Bern and University of Bern, Bern, Switzerland
                [4-1352458518823955]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland/Division of Occupational and Environmental Medicine, University of Zurich and University Hospital Zurich, Zurich, Switzerland
                [5-1352458518823955]Neuropsychology and Behavioral Neurology Unit, Division of Molecular and Cognitive Neuroscience, Department of Psychology, University of Basel, Basel, Switzerland
                [6-1352458518823955]Laboratories of Neuroimmunology, Division of Neurology and Neuroscience Research Center, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
                [7-1352458518823955]Neuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich, Zurich, Switzerland/Center for Neuroscience Zurich, Federal Institute of Technology (ETH), Zurich, Switzerland
                [8-1352458518823955]Neurocenter of Southern Switzerland, Ospedale regionale di Lugano, Lugano, Switzerland
                [9-1352458518823955]Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
                [10-1352458518823955]Department of Neurology, University Hospital Bern and University of Bern, Bern, Switzerland
                [11-1352458518823955]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
                [12-1352458518823955]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
                [13-1352458518823955]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland/Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
                [14-1352458518823955]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
                [15-1352458518823955]Department of Neurology and Neurorehabilitation, Rehabilitation Centre Kliniken Valens, Valens, Switzerland
                [16-1352458518823955]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
                [17-1352458518823955]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
                Author notes
                [*]Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland. laura.barin@ 123456uzh.ch
                Author information
                https://orcid.org/0000-0001-8139-4686
                https://orcid.org/0000-0002-4810-7734
                Article
                10.1177_1352458518823955
                10.1177/1352458518823955
                7140343
                31456464
                6f73451f-6ec1-47d6-b10c-5855724510da
                © The Author(s), 2019

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.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 pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 29 October 2018
                : 14 December 2018
                : 17 December 2018
                Funding
                Funded by: Schweizerische Multiple Sklerose Gesellschaft, FundRef https://doi.org/10.13039/501100008486;
                Categories
                Original Research Papers
                Custom metadata
                ts1

                Immunology
                registries,regression analysis,time to diagnosis,delayed diagnosis,patient-reported outcomes,epidemiology

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