Satisfaction with the healthcare provided of women who had undergone a mastectomy

Abstract Introduction: Breast cancer is the most common form of cancer among women worldwide and, therefore, deserves the highest attention and assistance from medical services. Considering patients’ satisfaction as an indication of healthcare quality, women who have undergone a mastectomy will assess the medical care received. This assessment will be based on what is expected from that medical care and on the expected improvement of her health condition. . Objective: To determine the level of satisfaction of women who have undergone a mastectomy with the medical care provided by nurses, doctors and by the way hospital services are organized. Design: A descriptive and cross-sectional study, developed in Portugal. Participants: A non-probabilistic sample formed by 153 women who underwent a mastectomy with an average age of 55, married (67.3%), unemployed (56.2%), living in a rural area (71.2%) and living on minimum wage (54.9%). Measurement instrument: European Organization for Research and Treatment of Cancer (EORTC) IN-PATSAT32 questionnaire. Results: 113 (73.85%) of the 153 women are satisied with the medical care provided and 40 (26.14%) of them show their lack of satisfaction. A highly signiicant percentage of women (49.01%) feel fairly satisied with the medical care provided by nurses and with the way services are organized (37.9). On the other hand (37.9%) show their dissatisfaction towards doctors. The family network proved to be a predictor of the satisfaction with doctors (β = 0.163; P = .044) and the period of hospitalization predicts the satisfaction with the organization (β = 0.171; P = .011). Both predictors will be useful to explain the 3% variability in patients’ satisfaction. Conclusions: Monitoring the satisfaction with the medical care received is a fundamental strategy to promote the well-being of women who underwent a mastectomy.

Healthcare Computer Reasoning Addressing Chronically Ill Societies Using IoT: Deep Learning AI to the Rescue of Home-Based Healthcare

The authors present a proposal to develop intelligent assisted living environments for home based healthcare. These environments unite the chronical patient clinical history sematic representation with the ability of monitoring the living conditions and events recurring to a fully managed Semantic Web of Things (SWoT). Several levels of acquired knowledge and the case based reasoning that is possible by knowledge representation of the health-disease history and acquisition of the scientific evidence will deliver, through various voice based natural interfaces, the adequate support systems for disease auto management but prominently by activating the less differentiated caregiver for any specific need. With these capabilities at hand, home based healthcare providing becomes a viable possibility reducing the institutionalization needs. The resulting integrated healthcare framework will provide significant savings while improving the generality of health and satisfaction indicators.