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1.
Health Inf Manag ; 52(3): 151-156, 2023 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-35695132

RESUMO

Background: With increasing implementation of enhanced recovery programs (ERPs) in clinical practice, standardised data collection and reporting have become critical in addressing the heterogeneity of metrics used for reporting outcomes. Opportunities exist to leverage electronic health record (EHR) systems to collect, analyse, and disseminate ERP data. Objectives: (i) To consolidate relevant ERP variables into a singular data universe; (ii) To create an accessible and intuitive query tool for rapid data retrieval. Method: We reviewed nine established individual team databases to identify common variables to create one standard ERP data dictionary. To address data automation, we used a third-party business intelligence tool to map identified variables within the EHR system, consolidating variables into a single ERP universe. To determine efficacy, we compared times for four experienced research coordinators to use manual, five-universe, and ERP Universe processes to retrieve ERP data for 10 randomly selected surgery patients. Results: The total times to process data variables for all 10 patients for the manual, five universe, and ERP Universe processes were 510, 111, and 76 min, respectively. Shifting from the five-universe or manual process to the ERP Universe resulted in decreases in time of 32% and 85%, respectively. Conclusion: The ERP Universe improves time spent collecting, analysing, and reporting ERP elements without increasing operational costs or interrupting workflow. Implications: Manual data abstraction places significant burden on resources. The creation of a singular instrument dedicated to ERP data abstraction greatly increases the efficiency in which clinicians and supporting staff can query adherence to an ERP protocol.


Assuntos
Coleta de Dados , Humanos , Custos e Análise de Custo
3.
J Crit Care ; 39: 56-61, 2017 06.
Artigo em Inglês | MEDLINE | ID: mdl-28213266

RESUMO

PURPOSE: The objective was to describe the characteristics and outcomes of critically ill cancer patients who received noninvasive positive pressure ventilation (NIPPV) vs invasive mechanical ventilation as first-line therapy for acute hypoxemic respiratory failure. MATERIAL AND METHODS: A retrospective cohort study of consecutive adult intensive care unit (ICU) cancer patients who received either conventional invasive mechanical ventilation or NIPPV as first-line therapy for hypoxemic respiratory failure. RESULTS: Of the 1614 patients included, the NIPPV failure group had the greatest hospital length of stay, ICU length of stay, ICU mortality (71.3%), and hospital mortality (79.5%) as compared with the other 2 groups (P < .0001). The variables independently associated with NIPPV failure included younger age (odds ratio [OR], 0.99; 95% confidence interval [CI], 0.98-0.99; P=.031), non-Caucasian race (OR, 1.61; 95% CI, 1.14-2.26; P=.006), presence of a hematologic malignancy (OR, 1.87; 95% CI, 1.33-2.64; P=.0003), and a higher Sequential Organ Failure Assessment score (OR, 1.12; 95% CI, 1.08-1.17; P < .0001). There was no difference in mortality when comparing early vs late intubation (less than or greater than 24 or 48 hours) for the NIPPV failure group. CONCLUSION: Noninvasive positive pressure ventilation failure is an independent risk factor for ICU mortality, but NIPPV patients who avoided intubation had the best outcomes compared with the other groups. Early vs late intubation did not have a significant impact on outcomes.


Assuntos
Neoplasias/complicações , Ventilação não Invasiva/estatística & dados numéricos , Avaliação de Resultados em Cuidados de Saúde , Respiração com Pressão Positiva/estatística & dados numéricos , Insuficiência Respiratória/terapia , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Cuidados Críticos , Feminino , Humanos , Unidades de Terapia Intensiva , Masculino , Pessoa de Meia-Idade , Razão de Chances , Insuficiência Respiratória/mortalidade , Estudos Retrospectivos , Fatores de Risco , Texas/epidemiologia , Fatores de Tempo , Adulto Jovem
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