scholarly journals Multiple sclerosis incidence in Tuscany (Italy) from administrative data

2018 ◽  
Vol 28 (suppl_4) ◽  
Author(s):  
D Bezzini
Keyword(s):  
Multiple Sclerosis ◽  
Administrative Data

scholarly journals Prevalence of Multiple Sclerosis in Tuscany (Central Italy): A Study Based on Validated Administrative Data

2015 ◽  
Vol 46 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Daiana Bezzini ◽  
Laura Policardo ◽  
Giuseppe Meucci ◽  
Monica Ulivelli ◽  
Sabina Bartalini ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Administrative Data ◽  
Care Home ◽  
Central Italy ◽  
Population Based ◽  
Term Care ◽  
Prevalence Studies ◽  
Hospital Discharge Records ◽  
Test Algorithm

Background: Multiple Sclerosis (MS) epidemiology in Italy is mainly based on population-based prevalence studies. Administrative data are an additional source of information, when available, in prevalence studies of chronic diseases such as MS. The aim of our study is to update the prevalence rate of MS in Tuscany (central Italy) as at 2011 using a validated case-finding algorithm based on administrative data. Methods: The prevalence was calculated using an algorithm based on the following administrative data: hospital discharge records, drug-dispensing records, disease-specific exemptions from copayment to health care, home and residential long-term care and inhabitant registry. To test algorithm sensitivity, we used a true-positive reference cohort of MS patients from the Tuscan MS register. To test algorithm specificity, we used another cohort of individuals who were presumably not affected by MS. Results: As at December 31, 2011, we identified 6,890 cases (4,738 females and 2,152 males) with a prevalence of 187.9 per 100,000. The sensitivity of algorithm was 98% and the specificity was 99.99%. Conclusions: We found a prevalence higher than the rates present in literature. Our algorithm, based on administrative data, can accurately identify MS patients; moreover, the resulting cohort is suitable to monitor disease care pathways.

scholarly journals Mental comorbidity and multiple sclerosis: validating administrative data to support population-based surveillance

BMC Neurology ◽  
2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Ruth Ann Marrie ◽  
◽  
John D Fisk ◽  
Bo Nancy Yu ◽  
Stella Leung ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Administrative Data ◽  
Population Based ◽  
Mental Comorbidity

Neighbourhood environments and the risk of hospital admission for cardiometabolic and mental health comorbidities in multiple sclerosis: A population cohort analysis using linked administrative data

2019 ◽  
pp. 135245851989598 ◽  
Author(s):  
Dan Lawson Crouse ◽  
Ismael Foroughi ◽  
Neeru Gupta
Keyword(s):  
Mental Health ◽  
Multiple Sclerosis ◽  
New Brunswick ◽  
Administrative Data ◽  
Cohort Analysis ◽  
Mental Health Disorders ◽  
Local Communities ◽  
Health Records ◽  
Cox Models ◽  
Health Disorders

This study exploits administrative data for neuroepidemiological research and examines associations between neighbourhood environments and risk of hospitalization among multiple sclerosis (MS) patients in New Brunswick, Canada. We created a provincial database of MS patients by linking administrative health records with geographic-based characteristics of local communities. Using Cox models, we found the risk of admission for cardiometabolic complications was lower among residents of ethnically homogeneous neighbourhoods (hazards ratio [HR]: 0.75 [95% confidence interval (CI): 0.60–0.95]); that for mental health disorders was higher in socioeconomically deprived (HR: 1.80 [95% CI: 1.06–3.05]) and residentially unstable (HR: 1.61 [95% CI: 1.05–2.46]) neighbourhoods. Results suggest that selected neighbourhood environments may be associated with differential hospital burden among MS patients.

The Utility of Administrative Data for Surveillance of Comorbidity in Multiple Sclerosis: A Validation Study

2012 ◽  
Vol 40 (2) ◽  
pp. 85-92 ◽  
Author(s):  
Ruth Ann Marrie ◽  
Bo Nancy Yu ◽  
Stella Leung ◽  
Lawrence Elliott ◽  
Patricia Caetano ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Administrative Data ◽  
Validation Study

scholarly journals Performance of administrative case definitions for comorbidity in multiple sclerosis in Manitoba and Nova Scotia

2014 ◽  
Vol 34 (2/3) ◽  
pp. 145-153 ◽  
Author(s):  
RA Marrie ◽  
JD Fisk ◽  
KJ Stadnyk ◽  
H Tremlett ◽  
C Wolfson ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Inflammatory Bowel Disease ◽  
Heart Disease ◽  
Nova Scotia ◽  
Administrative Data ◽  
Bowel Disease ◽  
Self Report ◽  
Comorbid Conditions ◽  
Case Definitions ◽  
Inflammatory Bowel

Introduction As the population ages and the prevalence of comorbid conditions increases, the need for feasible, validated methods of comorbidity surveillance in chronic diseases such as multiple sclerosis (MS) increases. Methods Using kappa (k) statistics, we evaluated the performance of administrative case definitions for comorbidities commonly observed in MS by comparing agreement between Manitoba (MB) administrative data and self-report (n = 606) and Nova Scotia (NS) administrative data and self-report (n = 1923). Results Agreement between the administrative definitions and self-report was substantial for hypertension (k = 0.69 [NS], 0.76 [MB]) and diabetes (k = 0.70 [NS], 0.66 [MB]); moderate for hyperlipidemia (k = 0.53 [NS], 0.51 [MB]) and heart disease (k = 0.42 [NS], 0.51 [MB]) and fair for anxiety (k = 0.27 [NS], 0.26 [MB]). In NS, agreement was substantial for inflammatory bowel disease (k = 0.71) and moderate for epilepsy (k = 0.48). Conclusion Administrative definitions for commonly observed comorbidities in MS performed well in 2 distinct jurisdictions. This suggests that they could be used more broadly across Canada and in national studies.

scholarly journals Establishing the Incidence and Prevalence of Multiple Sclerosis in Saskatchewan

2018 ◽  
Vol 45 (3) ◽  
pp. 295-303 ◽  
Author(s):  
Lina H. Al-Sakran ◽  
Ruth Ann Marrie ◽  
David F. Blackburn ◽  
Katherine B. Knox ◽  
Charity D. Evans
Keyword(s):  
Multiple Sclerosis ◽  
Administrative Data ◽  
Predictive Value ◽  
Disease Surveillance ◽  
Population Based ◽  
Case Definition ◽  
Case Definitions ◽  
Health Administrative Data ◽  
Disease Surveillance System ◽  
Definition Of

AbstractObjective: To validate a case definition of multiple sclerosis (MS) using health administrative data and to provide the first province-wide estimates of MS incidence and prevalence for Saskatchewan, Canada. Methods: We used population-based health administrative data between January 1, 1996 and December 31, 2015 to identify individuals with MS using two potential case definitions: (1) ≥3 hospital, physician, or prescription claims (Marrie definition); (2) ≥1 hospitalization or ≥5 physician claims within 2 years (Canadian Chronic Disease Surveillance System [CCDSS] definition). We validated the case definitions using diagnoses from medical records (n=400) as the gold standard. Results: The Marrie definition had a sensitivity of 99.5% (95% confidence interval [CI] 92.3-99.2), specificity of 98.5% (95% CI 97.3-100.0), positive predictive value (PPV) of 99.5% (95% CI 97.2-100.0), and negative predictive value (NPV) of 97.5% (95% CI 94.4-99.2). The CCDSS definition had a sensitivity of 91.0% (95% CI 81.2-94.6), specificity of 99.0% (95% CI 96.4-99.9), PPV of 98.9% (95% CI 96.1-99.9), and NPV of 91.7% (95% CI 87.2-95.0). Using the more sensitive Marrie definition, the average annual adjusted incidence per 100,000 between 2001 and 2013 was 16.5 (95% CI 15.8-17.2), and the age- and sex-standardized prevalence of MS in Saskatchewan in 2013 was 313.6 per 100,000 (95% CI 303.0-324.3). Over the study period, incidence remained stable while prevalence increased slightly. Conclusion: We confirm Saskatchewan has one of the highest rates of MS in the world. Similar to other regions in Canada, incidence has remained stable while prevalence has gradually increased.

scholarly journals Diagnoses of Depression and Anxiety Versus Current Symptoms and Quality of Life in Multiple Sclerosis

2018 ◽  
Vol 20 (2) ◽  
pp. 76-84 ◽  
Author(s):  
Ruth Ann Marrie ◽  
Scott B. Patten ◽  
Lindsay I. Berrigan ◽  
Helen Tremlett ◽  
Christina Wolfson ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Multiple Sclerosis ◽  
Administrative Data ◽  
Depression Scale ◽  
Depression And Anxiety ◽  
Prevalence Estimates ◽  
Prevalence Of Depression ◽  
Related Quality ◽  
Health Related

Background: Studies assessing the prevalence of depression and anxiety in multiple sclerosis (MS) have used various ascertainment methods that capture different constructs. The relationships between these methods are incompletely understood. Psychiatric comorbidity is associated with lower health-related quality of life (HRQOL) in MS, but the effects of past diagnoses of depression and anxiety on HRQOL are largely unknown. We compared the prevalence of depression and anxiety in persons with MS using administrative data, self-reported physician diagnoses, and symptom-based measures and compared characteristics of persons classified as depressed or anxious by each method. We evaluated whether HRQOL was most affected by previous diagnoses of depression or anxiety or by current symptoms. Methods: We linked clinical and administrative data for 859 participants with MS. HRQOL was measured by the Health Utilities Index Mark 3. We classified participants as depressed or anxious using administrative data, self-reported physician diagnoses, and the Hospital Anxiety and Depression Scale. Multivariable linear regression examined whether diagnosed depression or anxiety affected HRQOL after accounting for current symptoms. Results: Lifetime prevalence estimates for depression were approximately 30% regardless of methods used, but 35.8% with current depressive symptoms were not captured by either administrative data or self-reported diagnoses. Prevalence estimates of anxiety ranged from 11% to 19%, but 65.6% with current anxiety were not captured by either administrative data or self-reported diagnoses. Previous diagnoses did not decrease HRQOL after accounting for current symptoms. Conclusions: Depression and, to a greater extent, anxiety remain underdiagnosed and undertreated in MS; both substantially contribute to reduced HRQOL in MS.

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