Influence of Clinical and Psychosocial Factors on the Adherence to Topical Treatment in Psoriasis.

(1) Background: Psoriasis is a common chronic inflammatory skin disease with different manifestations, affecting the quality of life at social, emotional, and professional dimensions and requiring long-term treatment. This study aimed to investigate the effect of psychosocial and clinical factors on adherence to topical treatment in psoriasis. (2) Methods: Self-reported measures and weighing the medicines were used to assess adherence. Psychopathological symptoms were measured using the Brief Symptoms Inventory (BSI). Social and clinical factors were assessed by a sociodemographic and clinical questionnaire. Adherence to treatment with topical medication was assessed using a sample of 102 psoriasis patients. (3) Results: The explanatory models of adherence to topical treatment in psoriasis translated into positive associations between adherence and the education level (higher education) (p = 0.03; φ = 0.23), the single-family household (p = 0.01; φ = 0.44), active employment status (p = 0.05; φ = -0.19), familiar history of psoriasis (p = 0.04; φ = -0.21), and the presence of obsessive-compulsive symptoms (p = 0.01; d = 0.29). (4) Conclusions: In patients who present the characteristics identified that influence non-adherence, instructions should be reinforced to increase adherence. The experimental mortality (39.6%) reduced the sample size, representing a limitation of the study.

The Pharmacy of the Future: Pharmacy Professionals' Perceptions and Contributions Regarding New Services in Community Pharmacies.

The use of information and communication technologies (ICTs) has revolutionized the provision of health services, often referred to as eHealth, benefiting community pharmacies that can offer new services in innovative formats, namely through telepharmacy. This study aimed to explore the perceptions of pharmacy professionals (i.e., pharmacists and pharmacy technicians) on the provision of new services. The study consisted of administering an online questionnaire to pharmacy professionals nationwide. The questionnaire was developed by the research team, based on focus group methodology, from which an inductive analysis led to the categories that made up the dimensions of the survey. Participants were 95 pharmacy professionals with a mean age of 33.69 years old (SD = 10.75). Almost 79% were women. The results show overall receptivity to the development of new services in community pharmacies. Suggestions for the development of the new services, conditions necessary for their implementation, potential obstacles, and strategies to promote adherence to the new services, among others, are identified. The knowledge thus acquired will help community pharmacies to develop innovative solutions in counselling, pharmacotherapy monitoring, and pharmacovigilance, for example, of herb/dietary supplement-drug adverse reactions and interactions. Based on this information, new services can become more accessible, namely through the use of ICTs.

Knowledge and Beliefs about Herb/Supplement Consumption and Herb/Supplement-Drug Interactions among the General Population, including Healthcare Professionals and Pharmacists: A Systematic Review and Guidelines for a Smart Decision System.

The increased consumption of a variety of herbs/supplements has been raising serious health concerns. Owing to an inadequate understanding of herb/supplement-drug interactions, the simultaneous consumption of these products may result in deleterious effects and, in extreme cases, even fatal outcomes. This systematic review is aimed at understanding the knowledge and beliefs about the consumption of herbs/supplements and herb/drug-supplement interactions (HDIs). The study follows the PRISMA guidelines. Four online databases (Web of Science; PubMed; Cochrane; and EBSCOhost) were searched, and a total of 44 studies were included, encompassing 16,929 participants. Herb and supplement consumption is explained mostly by the reported benefits across multiple conditions and ease of use. Regarding HDIs, most people take both herbs/supplements and prescription drugs simultaneously. Only a small percentage of participants have knowledge about their interaction effects, and many reported adverse interactions or side effects. Nevertheless, the main reason for stopping the prescribed drug intake is the perceived lack of its effect, and not due to interactions. Therefore, it is important to increase the knowledge about supplement use so that further strategies can be elaborated to better detect or be alert for whenever a potentially dangerous reaction and/or interaction may occur. This paper raises awareness regarding the need for developing a decision support system and ends with some considerations about the development of a technological solution capable of detecting HDIs and, thereby, aiding in the improvement of pharmacy services.

Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets.

Current quantum systems have significant limitations affecting the processing of large datasets with high dimensionality, typical of high energy physics. In the present paper, feature and data prototype selection techniques were studied to tackle this challenge. A grid search was performed and quantum machine learning models were trained and benchmarked against classical shallow machine learning methods, trained both in the reduced and the complete datasets. The performance of the quantum algorithms was found to be comparable to the classical ones, even when using large datasets. Sequential Backward Selection and Principal Component Analysis techniques were used for feature's selection and while the former can produce the better quantum machine learning models in specific cases, it is more unstable. Additionally, we show that such variability in the results is caused by the use of discrete variables, highlighting the suitability of Principal Component analysis transformed data for quantum machine learning applications in the high energy physics context.

Assessment of the Financial Capacity in the Context of Normal and Pathological Cognitive Aging. Preliminary Analysis of the Portuguese Version of the Numerical Activities of Daily- Living- Financial (NADL-F).

Financial capacity (FC) is conceptualized as a dimension that encompasses a wide range of basic aptitudes and the capacity to judge and assess situations and make decisions according to one best interests. The Numerical Activities of Daily-Living-Financial (NADL-F) is an instrument of FC for clinical use developed in Italy. This study aims to perform a preliminary analysis on the psychometric characteristics of the Portuguese version of NADL-F. NADL-F as well as other neuropsychological instruments were administered to three groups: Healthy Control (n = 11); Mild Neurocognitive Disorder group (n = 19); Major Neurocognitive Disorder group (n = 19). NADL-F and its tasks were considered acceptable, showed good reliability for the entire sample (α = .808) and the majority of the domains correlated significantly with each other and with the total scale. Between group comparisons showed significant differences regarding all domains. Arithmetic, schooling and executive functioning accounted for 54.1% of the variance on the test. The Portuguese version of NADL-F proved to be an acceptable and valid instrument of assessing FC in the context of cognitive aging. NADL-F is an instrument that emulates real life financial situations, and it can be used in a second level of evidence in the clinical model of FC assessment.

Normative data of the Portuguese version of the Mini-Addenbrooke's Cognitive Examination.

INTRODUCTION: Mini-Addenbrooke's Cognitive Examination (M-ACE) is a screening neurocognitive test with diagnostic accuracy for mild cognitive impairment and dementia. The present study aims to determine the construct validity, concurrent and divergent validity and to determine the normative equation for the Portuguese version of M-ACE. METHOD: The sample is composed by 130 participants without any subjective complaint of memory loss and completely independent in daily life activities, recruited in health units, day care centers and religious and civic associations, from several districts of Portugal. The ACE-III, from which the M-ACE was extracted, and the Geriatric Depression Scale (GDS) were administered to all participants. RESULTS: Reliability is considered good (α = 0.844) and the item-total correlations of the M-ACE were highly significant. M-ACE showed a positive correlation with ACE-III and a negative correlation with GDS. Schooling and age were the only variables related to M-ACE performance. The obtained model from the multiple regression was significant. A normative equation was extracted from this model. CONCLUSIONS: The Portuguese version of M-ACE has solid psychometric properties enabling its clinical use. The availability of M-ACE normative equation based on a healthy sample according to age and education enables the use of a brief screening tool for cognitive functioning. M-ACE does not require formal specialized training, it is a quick test which can be an advantage, for instance, in primary health care consultations.