Analysis of heat stroke and heat exhaustion cases in EudraVigilance pharmacovigilance database.

BACKGROUND: The frequency and intensity of heat waves have increased and will keep increasing. This meteorological phenomenon, which is considered one of the most dangerous, can affect the entire population, but certain populations are at greater risk. Concretely, elderly people are more prompt to suffer from chronic diseases and therefore to be on medication that can interact with the different temperature-regulating systems of the body. So far, there are no published studies that have analyzed pharmacovigilance databases to characterize the association between specific pharmaceuticals and heat-related adverse reactions. OBJECTIVE: Therefore, in this study, we aimed to investigate the reported cases of heat exhaustion or heat stroke, associated with any drug notified to the European pharmacovigilance database (EudraVigilance). METHOD: The Basque Country Pharmacovigilance Unit selected spontaneous reports recorded in EudraVigilance from January 1, 1995, to January 10, 2022. "Heat Stroke" and "Heat Exhaustion" preferred terms were selected. Non-cases, used as controls, were all the other adverse drug reaction reports recorded in EudraVigilance for the same time period. RESULTS: In total, 469 cases were obtained. Mean age: 49.74 ± 8 years, 62.5% were male, and the majority (94.7%) were considered serious by EU criteria. Fifty-one active substances fulfilled the criteria to generate a signal of disproportionate reporting. CONCLUSIONS: The majority of implicated drugs belong to therapeutic groups that are already mentioned in different heat-illness prevention plans. But we also show that drugs aimed to treat multiple sclerosis and several cytokines were also associated with heat-related adverse effects.

Cost-effectiveness analysis of text messaging to support health advice for smoking cessation.

BACKGROUND: Smoking in one of the most serious public health problems. It is well known that it constitutes a major risk factor for chronic diseases and the leading cause of preventable death worldwide. Due to high prevalence of smokers, new cost-effective strategies seeking to increase smoking cessation rates are needed. METHODS: We performed a Markov model-based cost-effectiveness analysis comparing two treatments: health advice provided by general practitioners and nurses in primary care, and health advice reinforced by sending motivational text messages to smokers' mobile phones. A Markov model was used in which smokers transitioned between three mutually exclusive health states (smoker, former smoker and dead) after 6-month cycles. We calculated the cost-effectiveness ratio associated with the sending of motivational messages. Health care and society perspectives (separately) was adopted. Costs taken into account were direct health care costs and direct health care cost and costs for lost productivity, respectively. Additionally, deterministic sensitivity analysis was performed modifying the probability of smoking cessation with each option. RESULTS: Sending of text messages as a tool to support health advice was found to be cost-effective as it was associated with increases in costs of €7.4 and €1,327 per QALY gained (ICUR) for men and women respectively from a healthcare perspective, significantly far from the published cost-effectiveness threshold. From a societal perspective, the combined programmed was dominant. CONCLUSIONS: Sending text messages is a cost-effective approach. These findings support the implantation of the combined program across primary care health centres.

The Impact of Digital Health on Smoking Cessation.

BACKGROUND: Smartphones have become useful tools for medicine, with the use of specific apps making it possible to bring health care closer to inaccessible areas, continuously monitor a patient's pathology at any time and place, promote healthy habits, and ultimately improve patients' quality of life and the efficiency of the health care system. Since 2020, the use of smartphones has reached unprecedented levels. There are more than 350,000 health apps, according to a 2021 IQVIA Institute report, that address, among other things, the management of patient appointments; communication among different services or professionals; the promotion of lifestyle changes related to adopting healthy habits; and the monitoring of different pathologies and chronic conditions, including smoking cessation. The number of mobile apps for quitting smoking is high. As early as 2017, a total of 177 unique smoking cessation-relevant apps were identified in the iPhone App Store, 139 were identified in Google Play, 70 were identified in the BlackBerry app store, and 55 were identified in the Windows Phone Store, but very few have adequate scientific support. It seems clear that efforts are needed to assess the quality of these apps, as well as their effectiveness in different population groups, to have tools that offer added value to standard practices. OBJECTIVE: This viewpoint aims to highlight the benefits of mobile health (mHealth) and its potential as an adjuvant tool in health care. METHODS: A review of literature and other data sources was performed in order to show the current status of mobile apps that can offer support for smoking cessation. For this purpose, the PubMed, Embase, and Cochrane databases were explored between May and November 2022. RESULTS: In terms of smoking cessation, mHealth has become a powerful coadjuvant tool that allows health workers to perform exhaustive follow-ups for the process of quitting tobacco and provide support anytime and anywhere. mHealth tools are effective for different groups of smokers (eg, pregnant women, patients with chronic obstructive pulmonary disease, patients with mental illness, and the general population) and are cost-effective, generating savings for the health system. However, there are some patient characteristics that can predict the success of using mobile apps in the smoking cessation process, such as the lower age of patients, dependence on tobacco, the number of quit attempts, and the previous use of mobile apps, among others. Therefore, it is preferable to offer these tools to patients with a higher probability of quitting tobacco. CONCLUSIONS: mHealth is a promising tool for helping smokers in the smoking cessation process. There is a need for well-designed clinical studies and economic evaluations to jointly assess the effectiveness of new interventions in different population groups, as well as their impact on health care resources.

Corrigendum: Effectiveness of mobile applications to quit smoking: Systematic review and meta-analysis.

[This corrects the article DOI: 10.18332/tpc/127770.].

Effectiveness of mobile applications to quit smoking: Systematic review and meta-analysis.

INTRODUCTION: Tobacco is the leading cause of preventable mortality. The use of mobile phones has grown exponentially, becoming a powerful tool to be used in health care. METHODS: In order to assess the effectiveness of mobile phones to quit smoking, we have carried out a systematic review and meta-analysis of randomized clinical trials evaluating interventions based on mobile applications for smartphones, that were not a smaller version of the same application, against other types of therapy. To address this, a bibliographic search was carried out in MEDLINE, EMBASE and COCHRANE LIBRARY. To obtain the combined effect, the relative risk and the 95% confidence interval were used. A heterogeneity and sensitivity analysis were also conducted. RESULTS: A total of nine studies were identified, but five were excluded. Qualitative review was performed with four selected studies, but quantitative analysis was carried out for only three, given the impossibility of calculating the RR in one of the studies. After combining the results, an RR of 0.901 (95% CI: 0.57-1.423) was calculated comparing the effectiveness of mobile applications versus others type of interventions. This measure was robust, as shown by the sensitivity analysis. CONCLUSIONS: According to the results, it cannot be concluded that apps are effective for quitting tobacco. There are very few clinical trials published evaluating the effectiveness of mobile applications compared to other alternatives. Several clinical trials are still in progress, therefore their results have not been included in the present meta-analysis.