3 resultados para healthcare staff
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
Descriptive and quantitative study, with the objective of review the positive and negative aspects experienced by professionals working in the Family Health Strategy (ESF) of Ceará-Mirim town, at Rio Grande do Norte state. The population included 190 healthcare professionals that integrate the family healthcare staff and the data-collection occurred in a meeting at their workplace, with the implementation of a questionnaire. Results were organized in Microsoft Excel spreadsheet software, with descriptive statistical analysis in tables, graphs and tables through frequencies, averages values and standard deviations. There is a predominance of females (n = 137) and higher rates in almost all professions, and higher average age (38.9%, SD = 7.8) and income wage (average = 10) in the medical category. Regarding the more developed activities, for physicians and nurses are the healthcare actions in the Unit, the oral hygiene for dentists, the immunization for auxiliary nurses (Aux-N), educational meeting for the dental office assistants (ACD), and home visitations to community-based health workers (ACS). About the easiness of work, 93.2% said to be presence of professionals with a personal profile in public healthcare; about the difficulties, 86.8% of professionals cited the unavailability of material, followed by salary range reported by nurses (80.9% ), dentists (80.0%), physicians (73.3%), ACS (83.1%), and Aux-N (90.5%). In relation to working conditions, the unavailability of materials was the most mentioned, with the exception of dentists who reported improvement in wages. We still identify among these difficulties: the drugs availability regarded as first grade obstacle by ACS and physicians, the type of contracts in second grade cited by the ACD and dentists and, in third grade, the salary range cited by dentists and auxiliary nurses. It is concluded that the difficulties and easiness faced by ESF professionals are divergent among themselves. For physicians and nurses, whose healthcare actions become directed to specific groups, the individual and the family, their difficulties relate to the unavailability of materials. For dentists, whose actions more quoted were topical application of fluoride and supervised toothbrush, their greatest difficulty is the salary range. As to the Aux-N, ACD and ACS, for all of them the unavailability of materials has hindered the implementation of their activities in ESF
Resumo:
The Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by progressive muscle weakness that leads the patient to death, usually due to respiratory complications. Thus, as the disease progresses the patient will require noninvasive ventilation (NIV) and constant monitoring. This paper presents a distributed architecture for homecare monitoring of nocturnal NIV in patients with ALS. The implementation of this architecture used single board computers and mobile devices placed in patient’s homes, to display alert messages for caregivers and a web server for remote monitoring by the healthcare staff. The architecture used a software based on fuzzy logic and computer vision to capture data from a mechanical ventilator screen and generate alert messages with instructions for caregivers. The monitoring was performed on 29 patients for 7 con-tinuous hours daily during 5 days generating a total of 126000 samples for each variable monitored at a sampling rate of one sample per second. The system was evaluated regarding the rate of hits for character recognition and its correction through an algorithm for the detection and correction of errors. Furthermore, a healthcare team evaluated regarding the time intervals at which the alert messages were generated and the correctness of such messages. Thus, the system showed an average hit rate of 98.72%, and in the worst case 98.39%. As for the message to be generated, the system also agreed 100% to the overall assessment, and there was disagreement in only 2 cases with one of the physician evaluators.
Resumo:
The Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by progressive muscle weakness that leads the patient to death, usually due to respiratory complications. Thus, as the disease progresses the patient will require noninvasive ventilation (NIV) and constant monitoring. This paper presents a distributed architecture for homecare monitoring of nocturnal NIV in patients with ALS. The implementation of this architecture used single board computers and mobile devices placed in patient’s homes, to display alert messages for caregivers and a web server for remote monitoring by the healthcare staff. The architecture used a software based on fuzzy logic and computer vision to capture data from a mechanical ventilator screen and generate alert messages with instructions for caregivers. The monitoring was performed on 29 patients for 7 con-tinuous hours daily during 5 days generating a total of 126000 samples for each variable monitored at a sampling rate of one sample per second. The system was evaluated regarding the rate of hits for character recognition and its correction through an algorithm for the detection and correction of errors. Furthermore, a healthcare team evaluated regarding the time intervals at which the alert messages were generated and the correctness of such messages. Thus, the system showed an average hit rate of 98.72%, and in the worst case 98.39%. As for the message to be generated, the system also agreed 100% to the overall assessment, and there was disagreement in only 2 cases with one of the physician evaluators.
