ABSTRACT
Epidemiological, cross-sectional, descriptive, retrospective study of a quantitative nature, to trace the epidemiological and geospatial profile of the occurrences assisted by the Mobile Emergency Care Service. For that purpose, secondary data from the documents of the Mobile Emergency Care Service of a city in the interior of Rio Grande do Norte were used, considering the frequency of the variables: sex, age group, nature of occurrences, days of the week, ambulance sent, removal inter-hospital care and patient destination. Of the 363 occurrences, most were due to clinical causes, followed by traumatic, psychiatric, and gynecological/obstetric causes, with an emphasis on cardiovascular diseases and transport accidents. aged 19 to 59 years and over 60 years, with the Basic Support Unit providing the majority of care. Among the calls for clinical causes, women stood out, while for traumatic and psychiatric causes, men. The information contributes to the organization and planning of the service and the understanding of the morbidity profile. The geographic distribution highlights the need for integration between health agencies, for the institution of preventive actions, and the redirection of human and financial resources.
Estudio epidemiológico, transversal, descriptivo, retrospectivo, de carácter cuantitativo que tiene como objetivo trazar el perfil epidemiológico y geoespacial de los incidentes atendidos por el Servicio Móvil de Atención de Urgencias. Para ello se utilizan datos secundarios de dos documentos del Servicio Móvil de Atención de Emergencias de un municipio del interior de Rio Grande do Norte; considera la frecuencia de las variables: sexo, edad, naturaleza de los eventos, días de la semana, ambulancia enviada, retiro interhospitalario y destino del paciente. De los 363 sucesos, la mayoría se debió a causas clínicas, seguidas de causas traumáticas, psiquiátricas y ginecológicas/obstétricas, incluidas las enfermedades cardiovasculares y los accidentes de transporte. La frecuencia de ocurrencia fue ligeramente mayor en individuos masculinos con predominio de mujeres y edades entre los 19 y 59 años y mayores de 60 años; la Unidad Básica de Apoyo fue la responsable de la mayoría de los servicios. Entre los lesionados por causas clínicas destacan las mujeres, mientras que los hombres tienen causas traumáticas y psiquiátricas. Esta información contribuye a la organización y planificación de los servicios y a la comprensión del perfil de morbilidad. La distribución geográfica resalta la necesidad de integración entre las organizaciones de salud para implementar acciones preventivas y redireccionar recursos humanos y financieros.
ABSTRACT
Blood pressure (BP) is the main biomarker for monitoring patients, as its lack of control above values considered normal is a modifiable risk factor for target organ damage. The aim of this study is to evaluate the accuracy of the wearable electronic device photoplethysmography technology (PPG) Samsung Galaxy Watch 4 in determining BP in young patients compared to manual and automatic methods of BP determination. This is a quantitative and cross-sectional study, following validation protocols for wearable devices and BP measurement. It was carried out with twenty healthy young adults, in which BP was measured using four instruments, namely, standard sphygmomanometer device (manual), automatic arm oscillometric device (reference), wrist oscillometric device, and Smartwatch PPG. Eighty systolic blood pressure (SBP) and diastolic blood pressure (DBP) readings were observed. SBP means manual 118 ± 2.20,arm 113 ± 2.54, wrist 118 ± 2.51, and PPG (smartwatch) 113 ± 2.58. Among means, arm and PPG difference is 0.15, arm and wrist 4.95, arm and manual 4.45 wrist with PPG. The mean DBP manual 76.7 ± 1.84, arm 73.6 ± 1.92, wrist 79.3 ± 1.87, and PPG 72.2 ± 1.38. Among means, the difference between the arm and PPG is 1.4 and arm and hand 3.5 mmHg. The correlation shows PPG with manual, arm, and wrist. There was a strong SBP correlation and a moderate DBP correlation between the methods tested, evidencing the accuracy of the PPG smartwatch in relation to the reference method.
