Impact of an SMS intervention to support type 2 diabetes self-management: DiabeText clinical trial.

Background: Complications arising from uncontrolled Type 2 Diabetes Mellitus (T2DM) pose a significant burden on individuals' well-being and healthcare resources. Digital interventions may play a key role in mitigating such complications by supporting patients to adequately self-manage their condition.

Aim: To assess the impact of DiabeText, a new theory-based, patient-centered, mobile health intervention integrated with electronic health records to send tailored short text messages to support T2DM self-management.

DiabeText, a mobile health intervention to support medication taking and healthy lifestyle in adults with type 2 diabetes: Study protocol for a randomized controlled trial.

Aim: To evaluate the effectiveness of DiabeText, a low-intensity, multifaceted, mobile health (mHealth) intervention to support medication taking and lifestyle change targeted to people with type 2 diabetes (T2D).

Design: Phase III, 12-months, two-arm (1:1 allocation ratio), randomized parallel-group trial.

Methods: We will recruit 740 adults with glycated hemoglobin (A1c) >8% (>64 mmol/mol) and with at least one prescription of a non-insulin antidiabetic drug.

Development and Evaluation of a Digital Health Intervention to Prevent Type 2 Diabetes in Primary Care: The PREDIABETEXT Study Protocol for a Randomised Clinical Trial.

Background: Type 2 diabetes mellitus (T2DM) is a highly prevalent disease associated with an increased risk of comorbidities, premature death, and health costs. Prediabetes is a stage of glucose alteration previous to T2DM, that can be reversed. The aim of the study is to develop and evaluate a low-intensity, multifaceted, digital intervention to prevent T2DM.

Perspectives and Views of Primary Care Professionals Regarding DiabeText, a New mHealth Intervention to Support Adherence to Antidiabetic Medication in Spain: A Qualitative Study.

Background: Antidiabetic medication is effective in preventing diabetes-related complications. However, 40% of type 2 diabetic patients do not adhere to their medication regimes adequately. Brief text messages represent a promising approach to support medication adherence.

Patients' Views on the Design of DiabeText, a New mHealth Intervention to Improve Adherence to Oral Antidiabetes Medication in Spain: A Qualitative Study.

Background: Type 2 Diabetes Mellitus (T2DM) is a long-term condition affecting around 10% of people worldwide. This study aimed to explore T2DM patients' views on DiabeText, a new text messaging intervention to be developed to support adherence to diabetes medication.

Methods: A total of four focus groups were conducted with a purposive sample of people with T2DM (n = 34).

[Spanish adaptation of the Gambling Advertising Impact Scale for adolescents].

Unlabelled: Media pressure from gambling advertising has reached worrying levels. It constitutes a risk to the mental health of young people and adolescents by promoting a favourable attitude towards gambling, a higher frequency of gambling and a perception of greater accessibility. Currently, there is no instrument available to assess the impact of gambling advertising.

Medication overdoses: changes over time.

Objectives: To review changes occurring over time in cases of medication overdose attended by an emergency department.

Material And Methods: Retrospective review of epidemiologic and care variables related to drug poisonings in a university teaching hospital in 2007 and 2017. We used multivariate analysis to compare the 2 years.

Study of the factors associated with substance use in adolescence using Association Rules.

The aim of this study is to analyse the factors related to the use of addictive substances in adolescence using association rules, descriptive tools included in Data Mining. Thus, we have a database referring to the consumption of addictive substances in adolescence, and use the free distribution program in the R arules package (version 2.10.

The methodology of Data Mining. An application to alcohol consumption in teenagers.

This paper is aimed mainly at making researchers in the field of drug addictions aware of a methodology of data analysis aimed at knowledge discovery in databases (KDD). KDD is a process consisting of a series of phases, the most characteristic of which is called data mining (DM), whereby different modelling techniques are applied in order to detect patterns and relationships among the data. Common and differentiating factors between the most widely used DM techniques are analysed, mainly from a methodological viewpoint, and their use is exemplified using data related to alcohol consumption in teenagers and its possible relationship with personality variables (N=7030).