Facilitadores e barreiras ao uso de tecnologia móvel no tratamento de sintomas emo em pacientes diabéticos e hipertensos: uma análise qualitativa com usuários e auxiliares de enfermagem
Year: 2024
Type: dissertation
Abstract: INTRODUCTION: Research in low and middle-income countries (LMIC) indicates that social determinants such as poverty, social exclusion, and difficulties in meeting basic needs significantly contribute to the high prevalence of mental disorders in this population.Evidence shows that inadequate access to treatments leads to chronicity of disorders, increasing suffering and treatment costs.A recent study in Brazil even revealed a higher prevalence of depression in people with hypertension and diabetes, reinforcing this prevalence.About 80% of individuals with depression in Brazil do not receive appropriate care.When treatment exists, it is often limited to the use of medications.Strategies such as active user participation, increasing specialists, and training non-specialized professionals are suggested to enhance the availability of mental health services.The suggested strategy is called Task Shifting, where tasks performed by professionals with different or higher qualifications are delegated to individuals with a different educational level or lay people, specifically trained to perform a particular task.OBJECTIVES: To investigate the perceptions of nursing assistants and users of basic health units involved in the intervention of a mobile application used to assist in the treatment of depression, identifying aspects that acted as facilitators and barriers to the implementation, analyzing the use of Task Shifting as a strategy, as well as the feasibility of this type of intervention.The trial was conducted in basic units in the East Zone of São Paulo and is part of a matrix study called: "Community randomized trial to evaluate the effectiveness of a
Author: Hellen Carolina Martins Castro
Language: Portuguese
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4408938278