The hope, hype and reality of Big Data for pharmacovigilance

Bate, Andrew; Reynolds, Robert F.; Caubel, Patrick

doi:10.1177/2042098617736422

Cited by 34 publications

(32 citation statements)

References 38 publications

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“…Intervention studies such as that focusing on a mobile app for ADRs reporting may also be needed to help determine how patients or consumers will use caller tunes to aid reporting of ADRs, and the factors that could influence actual use. 27,28 There is a need for creation of caller tunes on ADRs in Ghana. In creating and testing such caller tunes, the active involvement of telecommunication companies will be key.…”

Section: Resultsmentioning

confidence: 99%

Factors that influence the intention to use mobile phone caller tunes for patient reporting of adverse drug reactions: a qualitative study

Appiah¹,

Poudyal²,

Burdine³

et al. 2019

Therapeutic Advances in Drug Safety

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Background: Patient reporting of adverse drug reactions (ADRs) is low in low- and middle-income countries, in part because of poor awareness to report. With the increase in mobile subscription, mobile phones can be used as a platform to disseminate information on ADRs. The aim of this study was to qualitatively assess the potential of using mobile phone caller tunes (the message or sound the caller hears before the receiver answers the call) to encourage patient reporting of ADRs. Methods: A total of 38 key informant interviews and 12 focus group discussions (57 participants in groups of 4–5) were conducted in Accra, Ghana. The transcripts were analysed using key constructs of the Technology Acceptance Model (TAM) including perceived usefulness, perceived ease of use, and behavioural intention to use caller tunes for patient reporting of ADRs. Results: Respondents mentioned lack of knowledge on reporting ADRs, and their willingness to use mobile phone caller tunes to promote patient reporting of ADRs. Many respondents pointed out how ADRs usually led to discontinuity in medication use, usually without consultation with health professionals. Caller tunes were regarded an innovative, accessible and convenient platform to disseminate information on ADRs. Most respondents intended to use caller tunes with drug safety information to promote ADR reporting, particularly to help their friends and family members. Simplicity of the message, use of songs or messages in local languages and price of downloading the caller tunes were important considerations. Conclusion: There is a need for the creation and testing of caller tunes on ADRs in Ghana to promote patient or consumer reporting of ADRs. Further studies are needed to assess factors that could influence the creation and use of caller tunes to disseminate information on drug safety.

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Section: Resultsmentioning

confidence: 99%

Factors that influence the intention to use mobile phone caller tunes for patient reporting of adverse drug reactions: a qualitative study

Appiah¹,

Poudyal²,

Burdine³

et al. 2019

Therapeutic Advances in Drug Safety

View full text Add to dashboard Cite

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“…In addition, clinical, pathological and epidemiological information relating to adverse reactions is necessary for a full understanding of the nature of an adverse reaction [13]. Most social media sources fail to provide complete information for case assessment [88]. The credibility of data varies across social media.…”

Section: Value/utility Of Social Media As Knowledge Sources For Pharmmentioning

confidence: 99%

“…According to Harpaz et al [93], this requires a deeper understanding of the data sources used, additional benchmarks and further research on methods to generate and synthesise signals. Moreover, according to Bate et al [88], a scientifically robust strategy for measuring the specific value of innovative big data sources is needed before such innovations can be incorporated into formal decision-making processes.…”

Section: Key Insights and Future Directionsmentioning

confidence: 99%

Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions

Pappa

Stergioulas

2019

Int J Data Sci Anal

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The ever-increasing supply of information combined with the growing knowledge elicitation capabilities of key emerging technologies presents pharmacovigilance with enormous opportunities. Currently, safety monitoring is expanding its evidence base, moving beyond traditional approaches towards sophisticated methods that can identify possible safety signals from multiple information sources, both structured and unstructured. In this context, health information posted online by patients represents a potentially valuable, yet currently left largely unexploited source of post-market safety data that could supplement data from traditional sources of drug safety information. As the use of social media data for pharmacovigilance is still in its infancy, the present paper explores the state of the art in the application of social data to adverse drug reaction detection; provides a thorough review of existing work in the field, highlighting important research efforts and achievements; and finally, discusses the current challenges and promising avenues for future work. Following a literature review methodology, a critical appraisal was conducted of carefully selected work on the use of social data in post-market surveillance, as presented in the recent scientific literature. Out of a sample of more than 1300 articles, which was the result of the literature search, the final selection of articles was made based on their relevance to the applications of social networking sites (SNS) to pharmacovigilance, and a thorough review of this corpus was completed with a total of 100 articles reviewed. The main contributions of this review include the mapping and systematisation of the current knowledge in the field by drawing comparisons of different approaches, types of social data and of relevant sources currently used in the field, and by developing new classifications of social data sources and taxonomies for social data for use in pharmacovigilance, as well as the identification of key challenges and the extraction of new insights in terms of potential for practical applications and future research directions in the area of pharmacovigilance. Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…170 Although an increased volume of data will enable the identification of rare events, it will also require advanced approaches for handling confounding in observational studies, methods for longitudinal data analysis of big data, and procedures for exploratory data mining, machine learning, and data visualization. 171,172…”

Section: Pharmacoepidemiology and Pharmacovigilancementioning

confidence: 99%

Data Science for Child Health

Bennett

Callahan

Feinstein

et al. 2019

The Journal of Pediatrics

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Data science has revolutionized industry and academic fields including marketing, 1 astronomy, 2 and computer vision. 3 It has not yet impacted medicine and biomedical research to the same degree. However, many observers 4-6 believe that data science will improve the ability of health care systems to deliver personalized medicine, 7 population health, 8 and public health. 9 The US National Institutes of Health (NIH) Strategic Plan for Data Science defines it as "the interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are developed and used to extract knowledge and insights from increasingly large and/or complex sets of data." 10 One interpretation of this definition is that data science is possible because of relatively cheap data storage and computing, efficient algorithms and computational tools for complex tasks such as optimizing neural network models and analyzing whole exome sequence (WES) data, and the availability of enormous amounts of data. This includes biological (eg, genomic, proteomic, and metabolomic), clinical (eg, laboratory results, digital images, text notes, and monitor signals), lifestyle (mobile sensor output, interactions with applications), and other data with which to train and evaluate models.

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The hope, hype and reality of Big Data for pharmacovigilance

Cited by 34 publications

References 38 publications

Factors that influence the intention to use mobile phone caller tunes for patient reporting of adverse drug reactions: a qualitative study

Factors that influence the intention to use mobile phone caller tunes for patient reporting of adverse drug reactions: a qualitative study

Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions

Data Science for Child Health

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