Literature DB >> 22007719

Web-based intensive monitoring: from passive to active drug surveillance.

Linda Härmark1, Kees van Grootheest.   

Abstract

INTRODUCTION: Recently, the European pharmacovigilance legislative framework changed. Post-authorisation safety studies (PASS) and additional monitoring of drugs will be important tools in ensuring the safety of drugs. Methods that can facilitate gathering of the requested information are essential. In this article, web-based intensive monitoring is described and future applications of this method are discussed. AREAS COVERED: Web-based intensive monitoring is a non-interventional observational cohort study using patients as a source of information. Eligible patients are identified in the pharmacy, and information about drug use and adverse events is collected through web-based questionnaires. An overview of the results as well as the pros and cons of this method is given. A discussion on how this methodology can be expanded to other settings and how it can be used in the future is included. EXPERT OPINION: The main idea with web-based intensive monitoring, using a specific inclusion point, letting patients be the source of information and following the patients over time via web questionnaires, can be a useful tool in post-marketing surveillance. Aspects other than adverse drug reactions, such as information about indication for use and off-label use, dosage and compliance can also be collected.

Entities:  

Mesh:

Year:  2011        PMID: 22007719     DOI: 10.1517/14740338.2012.629184

Source DB:  PubMed          Journal:  Expert Opin Drug Saf        ISSN: 1474-0338            Impact factor:   4.250


  10 in total

1.  Current trends in pharmacovigilance: value and gaps of patient reporting.

Authors:  Pedro Inácio; Afonso Cavaco; Marja Airaksinen
Journal:  Int J Clin Pharm       Date:  2018-07-13

2.  Experiences with the use of varenicline in daily practice in the Netherlands: a prospective, observational cohort study.

Authors:  Ingrid Oosterhuis; Linda Härmark; Eugène van Puijenbroek
Journal:  Drug Saf       Date:  2014-06       Impact factor: 5.606

3.  Development and Initial Validation of a Patient-Reported Adverse Drug Event Questionnaire.

Authors:  Sieta T de Vries; Peter G M Mol; Dick de Zeeuw; Flora M Haaijer-Ruskamp; Petra Denig
Journal:  Drug Saf       Date:  2013-09       Impact factor: 5.606

4.  Intensive monitoring of duloxetine: results of a web-based intensive monitoring study.

Authors:  Linda Härmark; Eugène van Puijenbroek; Kees van Grootheest
Journal:  Eur J Clin Pharmacol       Date:  2012-06-12       Impact factor: 2.953

5.  WSN- and IOT-Based Smart Homes and Their Extension to Smart Buildings.

Authors:  Hemant Ghayvat; Subhas Mukhopadhyay; Xiang Gui; Nagender Suryadevara
Journal:  Sensors (Basel)       Date:  2015-05-04       Impact factor: 3.576

Review 6.  A comparison of active adverse event surveillance systems worldwide.

Authors:  Yu-Lin Huang; Jinhee Moon; Jodi B Segal
Journal:  Drug Saf       Date:  2014-08       Impact factor: 5.606

7.  The Impact of Experiencing Adverse Drug Reactions on the Patient's Quality of Life: A Retrospective Cross-Sectional Study in the Netherlands.

Authors:  Leàn Rolfes; Florence van Hunsel; Katja Taxis; Eugène van Puijenbroek
Journal:  Drug Saf       Date:  2016-08       Impact factor: 5.606

8.  Electronic Health Record-Triggered Research Infrastructure Combining Real-world Electronic Health Record Data and Patient-Reported Outcomes to Detect Benefits, Risks, and Impact of Medication: Development Study.

Authors:  Karin Hek; Leàn Rolfes; Eugène P van Puijenbroek; Linda E Flinterman; Saskia Vorstenbosch; Liset van Dijk; Robert A Verheij
Journal:  JMIR Med Inform       Date:  2022-03-16

9.  Adherence to monthly online self-assessments for short-term monitoring: a 1-year study in relapsing-remitting multiple sclerosis patients after start of disease modifying treatment.

Authors:  Peter Joseph Jongen; Evert Sanders; Cees Zwanikken; Jan Koeman; Leo H Visser; Petra Koopmans; Dirk Lehnick
Journal:  Patient Prefer Adherence       Date:  2013-04-09       Impact factor: 2.711

Review 10.  Patient Participation and the Use of Ehealth Tools for Pharmacoviligance.

Authors:  Joëlle Berrewaerts; Laure Delbecque; Pierre Orban; Martin Desseilles
Journal:  Front Pharmacol       Date:  2016-04-11       Impact factor: 5.810

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.