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 The Incidence and Prevalence of Thyroid Disease Do Not Differ in the Multiple Sclerosis and General Populations: A Validation Study Using Administrative Data

2012 ◽  
Vol 39 (2) ◽  
pp. 135-142 ◽  
Author(s):  
Ruth Ann Marrie ◽  
Bo Nancy Yu ◽  
Stella Leung ◽  
Lawrence Elliott ◽  
Sharon Warren ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Administrative Data ◽  
Validation Study ◽  
Thyroid Disease ◽  
General Populations

Syncope and Presyncope as a Presenting Symptom or Discharge Diagnosis in the Emergency Department: An Administrative Data Validation Study

2017 ◽  
Vol 33 (12) ◽  
pp. 1729-1732
Author(s):  
John A. Staples ◽  
Cristian Vadeanu ◽  
Bobby Gu ◽  
Shannon Erdelyi ◽  
Herbert Chan ◽  
...  
Keyword(s):  
Emergency Department ◽  
Administrative Data ◽  
Validation Study ◽  
Discharge Diagnosis ◽  
Data Validation

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

scholarly journals Symbol Digit Modalities Test Variant in a Smartphone App for Persons With Multiple Sclerosis: Validation Study (Preprint)

2020 ◽  
Author(s):  
Pim van Oirschot ◽  
Marco Heerings ◽  
Karine Wendrich ◽  
Bram den Teuling ◽  
Marijn B Martens ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Construct Validity ◽  
Validation Study ◽  
Intraclass Correlation ◽  
Study Participant ◽  
Smartphone App ◽  
Retest Reliability ◽  
Matched Group ◽  
Test Retest Reliability ◽  
Study Participants

BACKGROUND The decline of cognitive processing speed (CPS) is a common dysfunction in persons with multiple sclerosis (MS). The Symbol Digit Modalities Test (SDMT) is widely used to formally quantify CPS. We implemented a variant of the SDMT in MS sherpa, a smartphone app for persons with MS. OBJECTIVE The aim of this study was to investigate the construct validity and test-retest reliability of the MS sherpa smartphone variant of the SDMT (sSDMT). METHODS We performed a validation study with 25 persons with relapsing-remitting MS and 79 healthy control (HC) subjects. In the HC group, 21 subjects were matched to the persons with MS with regard to age, gender, and education and they followed the same assessment schedule as the persons with MS (the “HC matched” group) and 58 subjects had a less intense assessment schedule to determine reference values (the “HC normative” group). Intraclass correlation coefficients (ICCs) were determined between the paper-and-pencil SDMT and its smartphone variant (sSDMT) on 2 occasions, 4 weeks apart. Other ICCs were determined for test-retest reliability, which were derived from 10 smartphone tests per study participant, with 3 days in between each test. Seven study participants with MS were interviewed regarding their experiences with the sSDMT. RESULTS The SDMT scores were on average 12.06% higher than the sSDMT scores, with a standard deviation of 10.68%. An ICC of 0.838 was found for the construct validity of the sSDMT in the combined analysis of persons with MS and HC subjects. Average ICCs for test-retest reliability of the sSDMT for persons with MS, the HC matched group, and the HC normative group were 0.874, 0.857, and 0.867, respectively. The practice effect was significant between the first and the second test of the persons with MS and the HC matched group and trivial for all other test-retests. The interviewed study participants expressed a positive attitude toward the sSDMT, but they also discussed the importance of adapting a smartphone cognition test in accordance with the needs of the individual persons with MS. CONCLUSIONS The high correlation between sSDMT and the conventional SDMT scores indicates a very good construct validity. Similarly, high correlations underpin a very good test-retest reliability of the sSDMT. We conclude that the sSDMT has the potential to be used as a tool to monitor CPS in persons with MS, both in clinical studies and in clinical practice.

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.

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