scholarly journals Evaluating a Web-Based Social Anxiety Intervention Among Community Users: Analysis of Real-World Data

10.2196/11566 ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. e11566 ◽  
Author(s):  
Hugh Cameron McCall ◽  
Fjola Dogg Helgadottir ◽  
Ross G Menzies ◽  
Heather D Hadjistavropoulos ◽  
Frances S Chen
Keyword(s):  
Social Anxiety ◽  
Real World ◽  
Real World Data ◽  
Web Based ◽  
World Data

scholarly journals AB0951 THE ITALIAN FIBROMYALGIA REGISTRY: A NEW WAY OF USING ROUTINE REAL-WORLD DATA CONCERNING PATIENT-REPORTED DISEASE STATUS IN HEALTHCARE RESEARCH AND CLINICAL PRACTICE

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1773.2-1773
Author(s):  
F. Salaffi ◽  
S. Farah ◽  
V. Giorgi ◽  
P. Sarzi-Puttini
Keyword(s):  
Clinical Practice ◽  
Real World ◽  
Quality Data ◽  
Study Patient ◽  
Italian Population ◽  
Real World Data ◽  
Web Based ◽  
World Data ◽  
American College Of Rheumatology ◽  
Distress Scale

Background:Fibromyalgia (FM), the most frequently encountered cause of widespread musculoskeletal pain, affects an estimated 2% of the general Italian population. However, it is not a homogeneous clinical entity, and a number of interacting factors can influence patient prognosis and the outcomes of standardised treatment programmes. Registries are a source of high-quality data for clinical research, but relating this information to individual patients is technically challenging.Objectives:The aim of this article is to describe the structure and objectives of the first Italian Fibromyalgia Registry (IFR), a new web-based registry of patients with FM.Methods:The IFR was developed to collect, store, and share information electronically entered by physicians throughout Italy who are members of the Italian Society of Rheumatology and have a particular interest in FM. It has a web-based architecture that uses two separate servers and an encryption algorithm to ensure the confidentiality and integrity of the exchanged data. The questionnaires included on the platform are the Revised Fibromyalgia Impact Questionnaire (FIQR), the modified Fibromyalgia Assessment Status (ModFAS), and the Polysymptomatic Distress Scale (PDS).Results:The registry includes data relating to 2,339 patients (93.2% female) who satisfied the 1990 or 2010/2011 American College of Rheumatology Classification Criteria for Fibromyalgia at the time of diagnosis. At the time of this analysis, the patients had a mean age of 51.9 years (SD 11.5) and a mean disease duration of 7.3 years (SD 6.9). The majority were married (71.3%), and generally well educated. The overall median FIQR, ModFAS and PDS scores and 25th-75thpercentiles were respectively 61.16 (41.16-77.00), 8.91 (41.16-77.00), and 19.0 (13.00-24.00). The six highest scoring items indicating the greatest impact of the disease on the patients related to fatigue/energy (7.18), sleep quality (6.87), tenderness (6.69), pain (6.68), stiffness (6.66), and environmental sensitivity (6.35). A high proportion of the responding patients reported experiencing pain in the neck (80.46%), upper back (68.36%), and lower back (75.05%).Conclusion:The IFR is the most comprehensive FM registry in Italy, and provides healthcare professionals with a secure, reliable, and easy-to-use means of monitoring the patients’ clinical progression, treatment history and treatment responses. This can help clinicians to plan patient management, facilitates research study patient recruitment, and provides the participating pain clinics with statistics based on real-world data. It also helps address the Italian Ministry of Health long-term goal of using precision medicine for chronic pain prevention and treatment. It is hoped that the IFR will enhance both scientific research and clinical practice.References:[1]Drolet BC, Johnson KB: Categorizing the world of registries 2008; 41: 1009–20.[2]Martinez JE, Paiva ES, Rezende MC, Heymann RE, Helfenstein M, Ranzolin A, et al.: EpiFibro (Brazilian Fibromyalgia Registry): data on the ACR classification and diagnostic preliminary criteria fulfillment and the follow-up evaluation. 2017; 57: 129–33[3]Whipple MO, McAllister SJ, Oh TH, Luedtke CA, Toussaint LL, Vincent A: Construction of a US fibromyalgia registry using the Fibromyalgia Research Survey criteria. 2013; 6: 398–99[4]Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg D, et al.: The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Report of the Multicenter Criteria Committee. 1990; 33: 160–72Disclosure of Interests:None declared

Abstract #946: Assessment of Acromegaly Patients with and Without Diabetes Treated with Lanreotide Depot: 2-Year Real World Data

2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data

Real world data of Type 2 Diabetes Mellitus (T2DM) obese patients using another GLP1 receptor agonist (GLP1–RA) and switching to Semaglutide in Spain

2020 ◽  
Author(s):  
Jersy Cardenas ◽  
Gomez Nancy Sanchez ◽  
Sierra Poyatos Roberto Miguel ◽  
Luca Bogdana Luiza ◽  
Mostoles Naiara Modroño ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Real World ◽  
Receptor Agonist ◽  
Obese Patients ◽  
Real World Data ◽  
World Data

Real-World Data from the MiniMed™670G System Commercial Launch—Patients Previously Using MDI Therapy

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 209-OR
Author(s):  
SHWETA GOPALAKRISHNAN ◽  
PRATIK AGRAWAL ◽  
MICHAEL STONE ◽  
CATHERINE FOGEL ◽  
SCOTT W. LEE
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data

Real-World Data from the MiniMed™ 670G System Commercial Launch—The First 1,052 Patients Using the System for Three Months

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 994-P
Author(s):  
PRATIK AGRAWAL ◽  
MICHAEL STONE ◽  
SHWETA GOPALAKRISHNAN ◽  
CATHERINE FOGEL ◽  
SCOTT W. LEE ◽  
...  
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data

1043-P: Glycemic Profiles and Treatment Patterns: Real-World Data from 8,020 Adults with Type 1 Diabetes Using the Omnipod® Insulin Management System with Cloud-Based Data Management

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1043-P
Author(s):  
JENNIFER E. LAYNE ◽  
JIALUN HE ◽  
JAY JANTZ ◽  
YIBIN ZHENG ◽  
ERIC BENJAMIN ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Data Management ◽  
Real World ◽  
Management System ◽  
Treatment Patterns ◽  
Real World Data ◽  
World Data
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