Analysis of adherence to an early mobilization protocol in an intensive care unit: Data collected prospectively over a period of three years by the clinical information system / Análisis de adherencia a un protocolo de movilización precoz en una unidad de cuidados intensivos: datos recopilados prospectivamente durante un periodo de tres años por el sistema de información clínica

Objective To determinate the adherence and barriers of our early mobilization protocol in patients who had received mechanical ventilation >48h in routine daily practice through clinical information system during all Intensive Care Unit (ICU) stay. Design Observational and prospective cohort study. Setting Polyvalent ICU over a three-year period (2017–2019). Patients Adult patients on mechanical ventilation >48h who met the inclusion criteria for the early mobilization protocol. Interventions None. Main variables of interest Demographics, adherence to the protocol and putative hidden adherence, total number of mobilizations, barriers, artificial airway/ventilatory support at each mobilization level and adverse events. Results We analyzed 3269 stay-days from 388 patients with median age of 63 (51–72) years, median APACHE II 23 (18–29) and median ICU stay of 10.1 (6.2–16.5) days. Adherence to the protocol was 56.6% (1850 stay-days), but patients were mobilized in only 32.2% (1472) of all stay-days. The putative hidden adherence was 15.6% (509 stay-days) which would increase adherence to 72.2%. The most common reasons for not mobilizing patients were failure to meeting the criteria for clinical stability in 241 (42%) stay-days and unavailability of physiotherapists in 190 (33%) stay-days. Adverse events occurred in only 6 (0.4%) stay-days. Conclusions Data form Clinical Information System showed although adherence was high, patients were mobilized in only one-third of all stay-days. Knowing the specific reason why patient were not mobilized in each stay-day allow to develop concrete decisions to increase the number of mobilizations (AU)

Objetivo Determinar la adherencia y barreras del protocolo de movilización precoz en pacientes que recibieron ventilación mecánica >48 horas en la práctica diaria habitual a través del sistema de información clínica durante toda su estancia en Unidad de Cuidados Intensivos (UCI). Diseño Estudio observacional y prospectivo. Ámbito UCI polivalente durante un periodo de tres años (2017-2019). Pacientes Se incluyeron pacientes adultos en ventilación mecánica > 48 horas que cumplieron los criterios de inclusión del protocolo. Intervenciones Ninguna. Variables principales Se aplicaron variables demográficas, adherencia y adherencia oculta, número total de movilizaciones, barreras, tipo vía aérea artificial/soporte ventilatorio en cada nivel de movilización y eventos adversos. Resultados Analizamos 3.269 días de estancia de 388 pacientes con una mediana de edad de 63 (51-72) años, mediana de APACHE-II 23(18-29) y estancia en UCI mediana de 10,1 (6,2-16,5) días. La adherencia al protocolo fue del 56,6% (1.850 días de estancia), pero los pacientes se movilizaron solo el 32,2% (1.472) de todos los días de estancia. La adherencia oculta fue del 15,6% (509 días de estancia), aumentando la adherencia al 72,2%. Las causas más comunes para la no movilización fueron el incumplimiento de los criterios de estabilidad clínica en 241 (42%) días de estancia y la falta de disponibilidad de fisioterapeutas en 190 (33%) días de estancia. Los eventos adversos ocurrieron en solo 6 (0,4%) días de estancia. Conclusiones Aunque la adherencia fue alta, los pacientes se movilizaron en solo un tercio de todos los días de estancia. Conocer el motivo específico por el cual los pacientes no fueron movilizados permite desarrollar decisiones concretas para incrementar el número de movilizaciones (AU)

Analysis of adherence to an early mobilization protocol in an intensive care unit: Data collected prospectively over a period of three years by the clinical information system.

OBJECTIVE: To determinate the adherence and barriers of our early mobilization protocol in patients who had received mechanical ventilation >48h in routine daily practice through clinical information system during all Intensive Care Unit (ICU) stay. DESIGN: Observational and prospective cohort study. SETTING: Polyvalent ICU over a three-year period (2017-2019). PATIENTS: Adult patients on mechanical ventilation >48h who met the inclusion criteria for the early mobilization protocol. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Demographics, adherence to the protocol and putative hidden adherence, total number of mobilizations, barriers, artificial airway/ventilatory support at each mobilization level and adverse events. RESULTS: We analyzed 3269 stay-days from 388 patients with median age of 63 (51-72) years, median APACHE II 23 (18-29) and median ICU stay of 10.1 (6.2-16.5) days. Adherence to the protocol was 56.6% (1850 stay-days), but patients were mobilized in only 32.2% (1472) of all stay-days. The putative hidden adherence was 15.6% (509 stay-days) which would increase adherence to 72.2%. The most common reasons for not mobilizing patients were failure to meeting the criteria for clinical stability in 241 (42%) stay-days and unavailability of physiotherapists in 190 (33%) stay-days. Adverse events occurred in only 6 (0.4%) stay-days. CONCLUSIONS: Data form Clinical Information System showed although adherence was high, patients were mobilized in only one-third of all stay-days. Knowing the specific reason why patient were not mobilized in each stay-day allow to develop concrete decisions to increase the number of mobilizations.

Secondary use of data extracted from a clinical information system to assess the adherence of tidal volume and its impact on outcomes.

OBJECTIVES: To extract data from clinical information systems to automatically calculate high-resolution quality indicators to assess adherence to recommendations for low tidal volume. DESIGN: We devised two indicators: the percentage of time under mechanical ventilation with excessive tidal volume (>8mL/kg predicted body weight) and the percentage of patients who received appropriate tidal volume (≤8mL/kg PBW) at least 80% of the time under mechanical ventilation. We developed an algorithm to automatically calculate these indicators from clinical information system data and analyzed associations between them and patients' characteristics and outcomes. SETTINGS: This study has been carried out in our 30-bed polyvalent intensive care unit between January 1, 2014 and November 30, 2019. PATIENTS: All patients admitted to intensive care unit ventilated >72h were included. INTERVENTION: Use data collected automatically from the clinical information systems to assess adherence to tidal volume recommendations and its outcomes. MAIN VARIABLES OF INTEREST: Mechanical ventilation days, ICU length of stay and mortality. RESULTS: Of all admitted patients, 340 met the inclusion criteria. Median percentage of time under mechanical ventilation with excessive tidal volume was 70% (23%-93%); only 22.3% of patients received appropriate tidal volume at least 80% of the time. Receiving appropriate tidal volume was associated with shorter duration of mechanical ventilation and intensive care unit stay. Patients receiving appropriate tidal volume were mostly male, younger, taller, and less severely ill. Adjusted intensive care unit mortality did not differ according to percentage of time with excessive tidal volume or to receiving appropriate tidal volume at least 80% of the time. CONCLUSIONS: Automatic calculation of process-of-care indicators from clinical information systems high-resolution data can provide an accurate and continuous measure of adherence to recommendations. Adherence to tidal volume recommendations was associated with shorter duration of mechanical ventilation and intensive care unit stay.

Secondary use of data extracted from a clinical information system to assess the adherence of tidal volume and its impact on outcomes / Uso secundario de los datos del Sistema de Información Clínica para evaluar la adherencia a las guías de práctica clínica respecto al volumen tidal y su impacto en los resultados

Objectives To extract data from clinical information systems to automatically calculate high-resolution quality indicators to assess adherence to recommendations for low tidal volume. Design We devised two indicators: the percentage of time under mechanical ventilation with excessive tidal volume (>8mL/kg predicted body weight) and the percentage of patients who received appropriate tidal volume (≤8mL/kg PBW) at least 80% of the time under mechanical ventilation. We developed an algorithm to automatically calculate these indicators from clinical information system data and analyzed associations between them and patients’ characteristics and outcomes. Settings This study has been carried out in our 30-bed polyvalent intensive care unit between January 1, 2014 and November 30, 2019. Patients All patients admitted to intensive care unit ventilated >72h were included. Intervention Use data collected automatically from the clinical information systems to assess adherence to tidal volume recommendations and its outcomes. Main variables of interest Mechanical ventilation days, ICU length of stay and mortality. Results Of all admitted patients, 340 met the inclusion criteria. Median percentage of time under mechanical ventilation with excessive tidal volume was 70% (23%–93%); only 22.3% of patients received appropriate tidal volume at least 80% of the time. Receiving appropriate tidal volume was associated with shorter duration of mechanical ventilation and intensive care unit stay. Patients receiving appropriate tidal volume were mostly male, younger, taller, and less severely ill. Adjusted intensive care unit mortality did not differ according to percentage of time with excessive tidal volume or to receiving appropriate tidal volume at least 80% of the time (AU)

Objetivos Extraer los datos del Sistema de Información Clínica para calcular automáticamente indicadores de calidad de alta resolución para evaluar la adherencia a las recomendaciones sobre el volumen tidal. Diseño Ideamos 2 indicadores: el porcentaje de tiempo en ventilación mecánica con volumen tidal excesivo (>8mL/kg peso ideal) y el porcentaje de pacientes con volumen tidal apropiado (≤8mL/kg peso ideal) al menos el 80% del tiempo en ventilación mecánica. Desarrollamos un algoritmo para calcular automáticamente dichos indicadores con los datos del Sistema de Información Clínica y analizamos su asociación con las características de los pacientes y su evolución. Ambiente El estudio se llevó a cabo en una unidad de cuidados intensivos polivalente de 30 camas desde el 1 enero 2014 hasta el 20 noviembre 2019. Pacientes Se incluyeron en el estudio todos los pacientes ingresados en la unidad de cuidados intensivos conectados a ventilación mecánica>72h. Intervención Usar los datos recogidos automáticamente desde el Sistema de Información Clínica para evaluar la adherencia a las recomendaciones del volumen tidal y sus resultados. Principales variables de interés Días de ventilación mecánica, días de estancia en la unidad de cuidados intensivos y mortalidad. Resultados De todos los pacientes ingresados, 340 cumplieron los criterios de inclusión. El tiempo medio de ventilación mecánica con volumen tidal excesivo fue 70% (23-93%); solo el 22,3% de los pacientes recibió un volumen tidal apropiado al menos el 80% del tiempo. Recibir un volumen tidal apropiado se asoció con menos días de ventilación mecánica y de estancia en la unidad de cuidados intensivos. Los pacientes que recibieron un volumen tidal apropiado fueron más frecuentemente hombres, más jóvenes, más altos y menos graves (AU)