The costs of benzodiazepine-associated hospital-treated fall injuries in the EU: a PHARMO study

Objective: To estimate the hospitalisation costs of accidental fall injuries in the EU resulting from the use of benzodiazepines. Methods: Risk and exposure data were obtained from the Dutch Pharmo system, a population-based register of drug-dispensing records and hospital records. The population attributable risk (PAR) was calculated using the age-specific prevalence estimates of benzodiazepine use and the corresponding relative risk (RR), obtained from a case-control study in community-dwelling inhabitants over 55 years of age in defined areas of The Netherlands covering the period 1985-2000. Annual hospitalisation costs of benzodiazepine-related fall injuries were based on the age-specific PARs and extrapolated to the European population using accident and demographic data of the EU. All analyses were performed from the perspective of a third-party payer. Results: Fall injuries in the study population were significantly associated with benzodiazepine use (RR 1.6, 95% CI 1.4-1.7), especially in those aged over 85 years (RR 3.6, 95% CI 2.9-4.5). The total annual hospital direct medical costs in 2000 of fall-related injuries attributable to benzodiazepine use were €1.8 billion (95% CI €1.5-2.2 billion) in the EU. Conclusions: The estimated costs of hospitalisations of accidental-fall injuries related to benzodiazepine use in the EU varied between €1.5 and €2.2 billion each year. More than 90% of these costs were in the elderly, with hip fractures as the major contributor. Discontinuing benzodiazepines in the elderly and/or substituting them with other drugs not associated with the risk of falls in the elderly will to a large extent prevent these accidents

Evaluation of an automated risk score for determining the risk for NSAID-related gastrointestinal events using pharmacy data.

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Praktische toepassing van de CBO-consensus gastroprotectie. Het kan nóg beter.

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Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology

Background: An element of health technology assessment constitutes assessing the clinical effectiveness of drugs, generally called relative effectiveness assessment. Little real-world evidence is available directly after market access, therefore randomized controlled trials are used to obtain information for relative effectiveness assessment. However, there is growing interest in using real-world data for relative effectiveness assessment. Social media may provide a source of real-world data. Objective: We assessed the extent to which social media-generated health data has provided insights for relative effectiveness assessment. Methods: An explorative literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify examples in oncology where health data were collected using social media. Scientific and grey literature published between January 2010 and June 2016 was identified by four reviewers, who independently screened studies for eligibility and extracted data. A descriptive qualitative analysis was performed. Results: Of 1032 articles identified, eight were included: four articles identified adverse events in response to cancer treatment, three articles disseminated quality of life surveys, and one study assessed the occurrence of disease-specific symptoms. Several strengths of social media-generated health data were highlighted in the articles, such as efficient collection of patient experiences and recruiting patients with rare diseases. Conversely, limitations included validation of authenticity and presence of information and selection bias. Conclusions: Social media may provide a potential source of real-world data for relative effectiveness assessment, particularly on aspects such as adverse events, symptom occurrence, quality of life, and adherence behavior. This potential has not yet been fully realized and the degree of usefulness for relative effectiveness assessment should be further explored

Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology

Background: An element of health technology assessment constitutes assessing the clinical effectiveness of drugs, generally called relative effectiveness assessment. Little real-world evidence is available directly after market access, therefore randomized controlled trials are used to obtain information for relative effectiveness assessment. However, there is growing interest in using real-world data for relative effectiveness assessment. Social media may provide a source of real-world data. Objective: We assessed the extent to which social media-generated health data has provided insights for relative effectiveness assessment. Methods: An explorative literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify examples in oncology where health data were collected using social media. Scientific and grey literature published between January 2010 and June 2016 was identified by four reviewers, who independently screened studies for eligibility and extracted data. A descriptive qualitative analysis was performed. Results: Of 1032 articles identified, eight were included: four articles identified adverse events in response to cancer treatment, three articles disseminated quality of life surveys, and one study assessed the occurrence of disease-specific symptoms. Several strengths of social media-generated health data were highlighted in the articles, such as efficient collection of patient experiences and recruiting patients with rare diseases. Conversely, limitations included validation of authenticity and presence of information and selection bias. Conclusions: Social media may provide a potential source of real-world data for relative effectiveness assessment, particularly on aspects such as adverse events, symptom occurrence, quality of life, and adherence behavior. This potential has not yet been fully realized and the degree of usefulness for relative effectiveness assessment should be further explored