Predicting outcomes of penetrating cardiovascular injuries at a rural center by different scoring systems

Abstract Objective: To compare the anatomical and physiological scoring systems and the outcomes of surgical management of penetrating cardiovascular trauma at a rural center. Methods: Seventy-seven patients underwent emergency surgery at our center between January/2012 and October/2018 due to penetrating cardiovascular trauma. Injury Severity Score (ISS), Revised Trauma Score (RTS), New Injury Severity Score (NISS), and Trauma and Injury Severity Score (TRISS) were calculated. The validation of these risk scores to predict mortality was assessed by the area under the receiver operating characteristic curve analysis. Results: All trauma scores were correlated with mortality. As ISS, NISS, and TRISS values increased and RTS values decreased, the mortality rate increased. The area under the curve (AUC) in the receiver operating characteristic curve analysis was 0.943 for TRISS, 0.915 for RTS, 0.890 for ISS, and 0.896 for NISS (P<0.001 for each). Logistic regression analysis revealed that scores were correlated with mortality (P<0.001 for each). By investigating cardiac injuries alone, only TRISS and RTS results correlated with mortality for cardiac injuries (Mann-Whitney U test, P=0.003 and P=0.01, respectively). The AUC was only statistically significant for TRISS and RTS (AUC=0.929, P<0.05 for both). For vascular injuries, all the scores were significantly correlated with in-hospital mortality (Mann-Whitney U test, P<0.001 for each). TRISS had the highest AUC (AUC=0.946, P<0.001). Conclusion: TRISS has the highest predictivity for in-hospital mortality in patients with penetrating cardiovascular trauma.

Factors Influencing Nursing Students' Choices of a Place of Employment

BACKGROUND: Despite increasing the number of newly licensed nurses across Korea, shortages caused by geographical imbalances remains a significant concern. Therefore, understanding nursing students' attitudes to working and living, factors influencing where they first choose to work after graduation is useful in formulating appropriate interventions to retain nurses in regional areas. METHODS: A total of 329 senior nursing students from areas outside Metropolitan Seoul completed self-report questionnaires. Data were analyzed using t-test, chi-square test and multiple logistic regression analysis. RESULTS: Of the respondents, 57.8% reported that they planned to work in the region in which their school was located. The three factors ranked as having the greatest influence on their decision to work in non-metropolitan regions were: the cost of living, housing costs, and the proximity to family. Enjoyable aspects of rural life contributed positively to students' intentions to work in non-metropolitan regions, whereas isolation and socialization problems negatively affected their intentions to work in such areas. CONCLUSIONS: Greater consideration should be given to improving working conditions and housing environments in non-metropolitan regions.

Quantifying the reduction in nonmedical costs after the introduction of a rural county hospital in Ecuador / Cuantificación de la reducción de los costos no médicos mediante la apertura de un hospital en un cantón rural del Ecuador

OBJECTIVE: This study attempts to quantify the impact of the introduction of local second-level health services on nonmedical costs (NMCs) for residents of the rural Ecuadorian county of La Maná. METHODS: NMCs for patients accessing second-level health care were assessed by using a quasi-experimental pre- and postintervention study design. In 2007, before local second-level health care services existed, and then in 2008, after the introduction of second-level health care services in the form of a county hospital, 508 patients from the county who sought second-level health care were interviewed. RESULTS: Mean NMCs per patient per illness episode were US$ 93.58 before the county hospital opened and US$ 12.62 after it opened. This difference was largely due to reductions in transport costs (US$ 50.01 vs. US$ 4.28) and food costs (US$ 25.38 vs. US$ 7.28) (P < 0.001 for each category). CONCLUSIONS: NMCs can be decreased sevenfold with the introduction of a county hospital in a rural province previously lacking second-level health care. Introduction of rural second-level health care reduces financial barriers and thus may increase access to these health services for poorer patients in rural communities.

OBJETIVO: Este estudio tiene por objeto cuantificar la repercusión de la introducción de servicios de salud locales de segundo nivel sobre los costos no médicos para los residentes del cantón rural ecuatoriano de La Maná. MÉTODOS: Se evaluaron los costos no médicos de los pacientes que tuvieron acceso a atención médica de segundo nivel mediante un estudio cuasiexperimental de análisis previo y posterior a la intervención. En el 2007 (antes de que existieran servicios locales de este tipo) y en el 2008 (después de la introducción de atención médica de segundo nivel representada por el hospital del cantón) se entrevistaron a 508 pacientes del cantón que requirieron atención médica de segundo nivel. RESULTADOS: Los costos no médicos medios por paciente y por episodio de enfermedad fueron de US$ 93,58 antes de la apertura del hospital local y de US$ 12,62 después de la inauguración del establecimiento. Esta diferencia se debió en gran parte a la reducción de los costos de transporte (US$ 50,01 frente a US$ 4,28) y de los costos de alimentación (US$ 25,38 frente a US$ 7,28) (P < 0,001 para cada categoría). CONCLUSIONES: Es posible reducir los costos no médicos a una séptima parte mediante la apertura de un hospital local en una zona rural que anteriormente carecía de atención médica de segundo nivel. La introducción de atención médica de segundo nivel en una zona rural reduce los obstáculos financieros y, por lo tanto, podría aumentar el acceso a estos servicios de salud para los pacientes más pobres en las comunidades rurales.

Gestión de hospitales rurales: una medición en las provincias de Llanquihue, Chiloé y Palena / The nature and management of rural hospitals: an assessment in the provinces of Llanquihue, Chiloé and Palena (Chile)

Se evalúan 11 Hospitales rurales (tipo 4 o de baja complejidad) del Servicio de Salud Llanquihue Chiloé Palena mediante un instrumento de control de gestión basado en el análisis de Liderazgo, Usuarios, Recursos Humanos, Planificación Estratégica, Procesos, Información y Análisis, Compromiso Social y Resultados. Los establecimientos presentan deficiencias en las siguientes áreas: gestión de sus procesos clínicos, (incluyendo la gestión de nuevas prestaciones y de los procesos de apoyo), gestión del desempeño, medición y análisis del rendimiento organizacional y los resultados de la efectividad organizacional. Se identifican como áreas de buen desempeño, el liderazgo para la dirección superior, el conocimiento de los pacientes y usuarios, la gestión de esa relación, gestión del personal, educación y capacitación y el compromiso con la comunidad. Se concluye la utilidad de la herramienta y la necesidad de extender el análisis a todos los establecimientos similares, con algunas modificaciones, la importancia de introducir posibilidades reales para la gestión clínica en aspectos críticos (urgencia, cirugía, atención del parto, atención cerrada y abierta) y en procesos de apoyo (laboratorio, imagenología y traslados).

Eleven hospitals classified as low complexity in Llanquihue Chiloé Palena Health Service were evaluated using components of a management control instrument. This instrument is based in the score of eight items: leadership, users, human resources, strategic planning, process, analysis and information, social agreements and results. These hospitals are underscored in management of clinical process, performance, measure and analysis of organizational performance. By opposition, leadership, users and patients knowledge, education and social agreements are well evaluated. In conclusion, the management evaluation tool is useful for these hospitals. Also it is necessary to extend analysis to other hospitals, with some modification. To improve the evaluation we suggest including clinical management of care, emergency services and supporting technical services (laboratory, imaging and transfers).