RESUMO
Psoriasis is a chronic skin disease that negatively impacts on patient's life. A holistic approach integrating well-being assessment could improve disease management. Since a consensus definition of well-being in psoriasis is not available, we aim to achieve a multidisciplinary consensus on well-being definition and its components. A literature review and consultation with psoriasis patients facilitated the design of a two-round Delphi questionnaire targeting healthcare professionals and psoriasis patients. A total of 261 panellists (65.1% patients with psoriasis, 34.9% healthcare professionals) agreed on the dimensions and components that should integrate the concept of well-being: emotional dimension (78.9%) [stress (83.9%), mood disturbance (85.1%), body image (83.9%), stigma/shame (75.1%), self-esteem (77.4%) and coping/resilience (81.2%)], physical dimension (82.0%) [sleep quality (81.6%), pain/discomfort (80.8%), itching (83.5%), extracutaneous manifestations (82.8%), lesions in visible areas (84.3%), lesions in functional areas (85.8%), and sex life (78.2%)], social dimension (79.5%) [social relationships (80.8%), leisure/recreational activities (80.3%), support from family/friends (76.6%) and work/academic life (76.5%)], and satisfaction with disease management (78.5%) [treatment (78.2%), information received (75.6%) and medical care provided by the dermatologist (80.1%)]. This well-being definition reflects patients' needs and concerns. Therefore, addressing them in psoriasis will optimise management, contributing to better outcomes and restoring normalcy to the patient's life.
Assuntos
Consenso , Técnica Delphi , Pessoal de Saúde , Psoríase , Humanos , Psoríase/psicologia , Pessoal de Saúde/psicologia , Feminino , Masculino , Inquéritos e Questionários , Adulto , Qualidade de Vida , Pessoa de Meia-Idade , AutoimagemRESUMO
Introduction: Drug-related problems (DRP) are events or circumstances in which drug therapy does or could interfere with desired health outcomes. In December 2019, a new coronavirus, SARS-CoV-2, appeared. Little knowledge about this type of infection resulted in the administration of various drugs with limited use in other pathologies. Evidence about DRP in patients with COVID-19 is lacking. Objective: The aim of the present study is to describe identified cases of DRP and those drugs involved in the first wave of patients with COVID-19, and evaluate associated risk factors. Material and methods: Observational, retrospective study performed in a tertiary university hospital between 14th March 2020 and 31 May 2020 (corresponding to the first COVID-19 wave). We recruited patients admitted during the study period. Exclusion criteria included age < 18 years; admission to critically ill units; and care received either in the emergency room, at-home hospitalization or a healthcare center. Results: A total of 817 patients were included. The mean age was 62.5 years (SD 16.4) (range 18-97), and 453 (55.4%) were male. A total of 516 DRP were detected. Among the patients, 271 (33.2%) presented at least one DRP. The mean DRP per patient with an identified case was 1.9. The prevailing DRPs among those observed were: incorrect dosage (over or underdosage) in 145 patients (28.2%); wrong drug combination in 131 (25.5%); prescriptions not in adherence to the then COVID-19 treatment protocol in 73 (14.1%); prescription errors due to the wrong use of the computerized physician order entry in 47 (9.2%); and incorrect dosage due to renal function in 36 (7%). The logistic regression analysis showed that patients who received only prescriptions of antibacterials for systemic use (J01 ATC group) faced a higher likelihood of experiencing a DRP (OR 2.408 (1.071-5.411), p = 0.033). Conclusion: We identified several factors associated with an increased risk of DRPs, similar to those reported in other pre-pandemic studies, including a prolonged length of stay, higher number of prescribed drugs and antimicrobial administration. The relevance of pharmacists and tools like pharmacy warning systems can help prevent, identify and resolve DRP efficiently.