Browsing by Author "Teixeira, Ana"
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- Influence of clinical and psychosocial factors on the adherence to topical treatment in psoriasisPublication . Teixeira, Ana; Teixeira, Maribel; Gaio, Rita; Torres, Tiago; Magina, Sofia; Dinis, Maria Alzira Pimenta; Sousa-Lobo, José; Almeida, Isabel; Peixoto, Miguel; Almeida, VeraPsoriasis 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. 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. 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.
- A mixed integer nonlinear multiperiod model for supply chain management of a company in the retail sectorPublication . Teixeira, Ana; Costa e Silva, Eliana; Lopes, Isabel CristinaThe fluctuations in the business environment and seasonal variations characteristic of food supply chains contribute greatly to the increasing complexity of the entire Supply Chain planning. In the present paper, quantitative models are applied to support the decision-making purchasing management department of a retail company. Specifically, a multiperiod mathematical model was developed with the aim of optimizing decision-making of the purchasing managers. The developed model consists of a multiperiod Mixed Integer Nonlinear Programming model, with the objective to minimize the ratio between how much is costing the company to move the products along the Supply Chain and the products’ costs. It is discussed how to order the product, what is the most advantageous storage mode and whether it is preferable to order once or twice a week. Real instances, provided by a Portuguese retail company, regarding the demand for one year are tested for two scenarii, which are used currently by the company. The results show that the proposed model can reduce, on both scenarios, the ratio between operational costs and merchandise costs, for almost all products, and therefore it can be an important tool for supporting decision-making of the purchasing manager.