Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.7K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Indigenous Perspectives on Childhood Disability Across Canada: A Critical Integrative Review and Implications for Service Providers.

Journal of developmental and physical disabilities·2026
Same author

Frameworks and models that promote Métis health: a narrative review.

AlterNative (Auckland, N.Z. : 2005)·2026
Same author

Developing a minimum dataset for a national patient registry on Long COVID in Canada: a Delphi consensus-based study.

BMJ open·2025
Same author

Mapping the landscape of mental health and long COVID: a protocol for scoping review.

BMJ open·2024
Same author

A review of Patient Reported Outcome Measures (PROMs) for characterizing Long COVID (LC)-merits, gaps, and recommendations.

Journal of patient-reported outcomes·2024
Same author

Cancer Prevention and Cultural Continuity for Métis Peoples in Canada: A Scoping Review.

Current oncology (Toronto, Ont.)·2024
Same journal

Cohort profile: Sheyang Mini Birth Cohort Study (SMBCS).

BMJ open·2026
Same journal

Quebec lung, liver and heart transplant recipients' perspectives on self-narratives and their experiences in creative writing workshops during the transplantation journey: a qualitative study.

BMJ open·2026
Same journal

Impact of climatic variables on postoperative outcomes in various surgical disciplines: a systematic review.

BMJ open·2026
Same journal

ADHD and cardiometabolic risk profile in adults with type 2 diabetes: a longitudinal register-based study.

BMJ open·2026
Same journal

Understanding the impact of the follow-up period on the association between excess body weight, and cardiovascular events and mortality: a prospective cohort study of the UK Biobank.

BMJ open·2026
Same journal

Temporal associations between incident physical health problems/sensory impairments and challenging behaviours in people with intellectual disabilities: a population-based longitudinal cohort study of primary care in England.

BMJ open·2026
See all related articles

Related Experiment Video

Updated: Apr 30, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K

Development of a minimum data set for long COVID: a Delphi study protocol.

Adelaide Amah1,2, Pawan Kumar2, Hammed Ejalonibu2,3

  • 1Research Department, Saskatchewan Health Authority, Saskatoon, Saskatchewan, Canada.

BMJ Open
|November 28, 2024
PubMed
Summary
This summary is machine-generated.

This study prioritizes key concepts for long COVID care, quality of life, and symptoms. Findings will inform a national patient registry to standardize data collection for long COVID patients in Canada.

Keywords:
Post-Acute COVID-19 SyndromeREGISTRIESResearch DesignSARS-CoV-2 Infection

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K
Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

3.7K

Related Experiment Videos

Last Updated: Apr 30, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K
Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

3.7K

Area of Science:

  • Public Health
  • Health Services Research
  • Patient Engagement

Background:

  • Previous long COVID research focused on priorities and definitions.
  • This study aims to build upon existing work by involving diverse stakeholders.
  • A national patient registry for long COVID is needed to standardize data collection.

Purpose of the Study:

  • To prioritize concepts of care, quality of life, and symptoms for long COVID.
  • To inform the development of a national patient registry for long COVID in Canada.
  • To establish a minimum data set for standardized data collection.

Main Methods:

  • A Delphi process will be conducted with Canadians experiencing or working with long COVID.
  • 100 diverse participants will complete three rounds of anonymous online surveys.
  • Survey questions will be prioritized to identify core data points for the registry.

Main Results:

  • Prioritization of essential concepts related to long COVID care, quality of life, and symptoms.
  • Development of a minimum data set for standardized data collection.
  • Recommendations for a national long COVID patient registry.

Conclusions:

  • The study will provide a prioritized list of concepts to inform a national long COVID patient registry.
  • Standardized data collection through a minimum data set will improve understanding and management of long COVID.
  • Dissemination of findings through publications and conferences will support national efforts in long COVID research and care.