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Direct health care costs associated to neurological diseases and different degrees of malnutrition
(Elsevier, 2021)
Background and Aims: Home-based care and oral supplemental nutrition may be an efficient way of managing health resources, freeing up hospital resources and improving patient care and quality of life. ...
Effectiveness and cost-effectiveness of Improving clinicians’ diagnostic and communication skills on antibiotic prescribing appropriateness in patients with acute cough in primary care in Catalonia (the ISAAC-CAT study): study protocol for a cluster randomised controlled trial
(BMC, 2019-12-17)
Background:
Despite their marginal benefit, about 60% of acute lower respiratory tract infections (ALRTIs) are currently treated with antibiotics in Catalonia. This study aims to evaluate the effectiveness ...
How do consumers respond to “sin taxes”? New evidence from a tax on sugary drinks
(Elsevier, 2021-04)
It is unclear what the effects of taxes on sugar sweetened beverages (SSBs) are on consumer behaviour and which consumers may be affected the most. We evaluate the effect of the SSB tax introduced in ...
The impact of an easy access drug supply management policy law on the consumption and abuse of opioids in Catalonia: A population-based study
(Elsevier, 2022)
Background: Over the last two decades, the rise in opioid prescription has worsened health outcomes worldwide, increasing both levels of abuse and mortality rates. In order to reduce the scale of this ...
Direct health costs of amyotrophic lateral sclerosis in a multidisciplinary ALS unit in Catalonia (Spain)
(Taylor & Francis Group, 2022)
Our research project computed the direct health costs of patients with amyotrophic lateral sclerosis (ALS) in a Spanish multidisciplinary unit and explored the main factors associated. Besides analyzing ...
Prevalence of atopic dermatitis in the adolescent population of Catalonia (Spain)
(Elsevier, 2023)
Background: Studies on the prevalence of atopic dermatitis (AD) for the adolescent cohort in general-based large populations are scarce worldwide. We performed a retrospective population--based observational ...
Identifying non-adult attention-deficit/hyperactivity disorder individuals using a stacked machine learning algorithm using administrative data population registers in a universal healthcare system
(John Wiley & Sons, 2023)
Background: This research project aims to build a Machine Learning algorithm (ML) to predict first-time ADHD diagnosis, given that it is the most frequent mental disorder for the non-adult population. ...