Intensive care units/organization & administration Archives - Critical Care Science (CCS)
, , , , Abstract
Rev Bras Ter Intensiva. 2022;34(3):374-379
DOI 10.5935/0103-507X.20220114-en
, , , , To compare the perceptions of patients’ relatives with the perceptions of health professionals regarding a flexible visitation model in intensive care units.
Cross-sectional study. This study was carried out with patients’ relatives and members of the care team of a clinical-surgical intensive care unit with a flexible visitation model (12 hours/day) from September to December 2018. The evaluation of the flexible visitation policy was carried out through an open visitation instrument composed of 22 questions divided into three domains (evaluation of family stress, provision of information, and interference in the work of the team).
Ninety-five accompanying relatives and 95 members of the care team were analyzed. The perceptions of relatives regarding the decrease in anxiety and stress with flexible visitation was higher than the perceptions of the team (91.6% versus 58.9%, p < 0.001), and the family also had a more positive perception regarding the provision of information (86.3% versus 64.2%, p < 0.001). The care team believed that the presence of the relative made it difficult to provide care to the patient and caused work interruptions (46.3% versus 6.3%, p < 0.001).
Family members and staff-intensive care unit teams have different perceptions about flexible visits in the intensive care unit. However, a positive view regarding the perception of decreased anxiety and stress among the family members and greater information and contributions to patient recovery predominates.
Abstract
Rev Bras Ter Intensiva. 2022;34(3):374-379
DOI 10.5935/0103-507X.20220114-en
, , , , To compare the perceptions of patients’ relatives with the perceptions of health professionals regarding a flexible visitation model in intensive care units.
Cross-sectional study. This study was carried out with patients’ relatives and members of the care team of a clinical-surgical intensive care unit with a flexible visitation model (12 hours/day) from September to December 2018. The evaluation of the flexible visitation policy was carried out through an open visitation instrument composed of 22 questions divided into three domains (evaluation of family stress, provision of information, and interference in the work of the team).
Ninety-five accompanying relatives and 95 members of the care team were analyzed. The perceptions of relatives regarding the decrease in anxiety and stress with flexible visitation was higher than the perceptions of the team (91.6% versus 58.9%, p < 0.001), and the family also had a more positive perception regarding the provision of information (86.3% versus 64.2%, p < 0.001). The care team believed that the presence of the relative made it difficult to provide care to the patient and caused work interruptions (46.3% versus 6.3%, p < 0.001).
Family members and staff-intensive care unit teams have different perceptions about flexible visits in the intensive care unit. However, a positive view regarding the perception of decreased anxiety and stress among the family members and greater information and contributions to patient recovery predominates.
, , , , , Abstract
Rev Bras Ter Intensiva. 2022;34(2):237-246
DOI 10.5935/0103-507X.20220021-en
, , , , , , , To describe and compare the structure of Argentinean intensive care units that completed the “self-assessment survey of intensive care units” developed by the Sociedad Argentina de Terapia Intensiva.
An observational crosssectional study was conducted using an online voluntary survey through the Sociedad Argentina de Terapia Intensiva member database and other social media postings. Answers received between December 2018 and July 2020 were analyzed. Descriptive statistics and nonparametric tests were used.
A total of 392 surveys were received, and 244 were considered for the analysis. Seventy-seven percent (187/244) belonged to adult intensive care units, and 23% (57/244) belonged to pediatric intensive care units. The overall completion rate was 76%. The sample included 2,567 ICU beds (adult: 1,981; pediatric: 586). We observed a clear concentration of intensive care units in the Central and Buenos Aires regions of Argentina. The median number of beds was 10 (interquartile range 7 - 15).
Argentina has a notable concentration of critical care beds and better structural complexity in the Buenos Aires and Centro regions for both adult and pediatric intensive care units. In addition, a lack of accurate data reported from the intensive care unit structure and resources was observed. Further improvement opportunities are required to allocate intensive care unit resources at the institutional and regional levels.
Abstract
Rev Bras Ter Intensiva. 2022;34(2):237-246
DOI 10.5935/0103-507X.20220021-en
, , , , , , , To describe and compare the structure of Argentinean intensive care units that completed the “self-assessment survey of intensive care units” developed by the Sociedad Argentina de Terapia Intensiva.
An observational crosssectional study was conducted using an online voluntary survey through the Sociedad Argentina de Terapia Intensiva member database and other social media postings. Answers received between December 2018 and July 2020 were analyzed. Descriptive statistics and nonparametric tests were used.
A total of 392 surveys were received, and 244 were considered for the analysis. Seventy-seven percent (187/244) belonged to adult intensive care units, and 23% (57/244) belonged to pediatric intensive care units. The overall completion rate was 76%. The sample included 2,567 ICU beds (adult: 1,981; pediatric: 586). We observed a clear concentration of intensive care units in the Central and Buenos Aires regions of Argentina. The median number of beds was 10 (interquartile range 7 - 15).
Argentina has a notable concentration of critical care beds and better structural complexity in the Buenos Aires and Centro regions for both adult and pediatric intensive care units. In addition, a lack of accurate data reported from the intensive care unit structure and resources was observed. Further improvement opportunities are required to allocate intensive care unit resources at the institutional and regional levels.
, Abstract
Rev Bras Ter Intensiva. 2020;32(1):72-80
DOI 10.5935/0103-507X.20200012
, To analyze the distribution of adult intensive care units according to geographic region and health sector in Rio de Janeiro and to investigate severe acute respiratory infection mortality in the public sector and its association with critical care capacity in the public sector.
We evaluated the variation in intensive care availability and severe acute respiratory infection mortality in the public sector across different areas of the city in 2014. We utilized databases from the National Registry of Health Establishments, the Brazilian Institute of Geography and Statistics, the National Mortality Information System and the Hospital Admission Information System.
There is a wide range of intensive care unit beds per capita (from 4.0 intensive care unit beds per 100,000 people in public hospitals in the West Zone to 133.6 intensive care unit beds per 100,000 people in private hospitals in the Center Zone) in the city of Rio de Janeiro. The private sector accounts for almost 75% of the intensive care unit bed supply. The more developed areas of the city concentrate most of the intensive care unit services. Map-based spatial analysis shows a lack of intensive care unit beds in vast territorial extensions in the less developed regions of the city. There is an inverse correlation (r = -0.829; 95%CI -0.946 to -0.675) between public intensive care unit beds per capita in different health planning areas of the city and severe acute respiratory infection mortality in public hospitals.
Our results show a disproportionate intensive care unit bed provision across the city of Rio de Janeiro and the need for a rational distribution of intensive care.
Abstract
Rev Bras Ter Intensiva. 2020;32(1):72-80
DOI 10.5935/0103-507X.20200012
, To analyze the distribution of adult intensive care units according to geographic region and health sector in Rio de Janeiro and to investigate severe acute respiratory infection mortality in the public sector and its association with critical care capacity in the public sector.
We evaluated the variation in intensive care availability and severe acute respiratory infection mortality in the public sector across different areas of the city in 2014. We utilized databases from the National Registry of Health Establishments, the Brazilian Institute of Geography and Statistics, the National Mortality Information System and the Hospital Admission Information System.
There is a wide range of intensive care unit beds per capita (from 4.0 intensive care unit beds per 100,000 people in public hospitals in the West Zone to 133.6 intensive care unit beds per 100,000 people in private hospitals in the Center Zone) in the city of Rio de Janeiro. The private sector accounts for almost 75% of the intensive care unit bed supply. The more developed areas of the city concentrate most of the intensive care unit services. Map-based spatial analysis shows a lack of intensive care unit beds in vast territorial extensions in the less developed regions of the city. There is an inverse correlation (r = -0.829; 95%CI -0.946 to -0.675) between public intensive care unit beds per capita in different health planning areas of the city and severe acute respiratory infection mortality in public hospitals.
Our results show a disproportionate intensive care unit bed provision across the city of Rio de Janeiro and the need for a rational distribution of intensive care.
Search
Search in:
Case reports (56) Child (53) Coronavirus infections (34) COVID-19 (46) Critical care (115) Critical illness (54) Extracorporeal membrane oxygenation (26) Infant, newborn (27) Intensive care (72) Intensive care units (256) Intensive care units, pediatric (31) mechanical ventilation (38) Mortality (76) Physical therapy modalities (28) Prognosis (61) Respiration, artificial (119) Respiratory insufficiency (26) risk factors (34) SARS-CoV-2 (28) Sepsis (98)