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Medical surveillance unit: patient characteristics, outcome, and quality of care in Saskatchewan, Canada.

ABSTRACT: OBJECTIVE:Intermediate care units provide a high level of care to complex patients and are becoming increasingly popular in North America. Despite the growing popularity of Intermediate care units, very little is known about them. This study explored a typical Intermediate care unit, identifying patient characteristics including demographics, comorbidities, length of stay, as well as primary and secondary diagnosis and mortality. RESULTS:A total of 200 patients chart were reviewed, of which, 102 were male, and 89 patients were younger than 65 years old. Diabetes, hypertension, and chronic obstructive pulmonary disease were common among patients with a prevalence of 33.5%, 56%, and 32.5%, respectively. Alcohol use disorder, asthma, liver disease and IV drug abuse were much more common in patients younger than 65 years. The average length of stay was 5.31 days regardless of age. Almost two-thirds of the patients in the Intermediate care unit were admitted directly from the emergency room. The mortality rate among the patients studied was 9.5%. The most common admitting diagnosis was respiratory diseases such as chronic obstructive pulmonary disease or Pneumonia (38.0%), followed by cardiac disorders which were predominantly arrhythmias and congestive heart failure (27.0%).

SUBMITTER: Vantomme K

PROVIDER: S-EPMC7035728 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Medical surveillance unit: patient characteristics, outcome, and quality of care in Saskatchewan, Canada.

Vantomme Karl K Siddiqui Muhammad M Siddiqui Muhammad M Cossette Marlee M Lyster Kish K

BMC research notes 20200221 1

<h4>Objective</h4>Intermediate care units provide a high level of care to complex patients and are becoming increasingly popular in North America. Despite the growing popularity of Intermediate care units, very little is known about them. This study explored a typical Intermediate care unit, identifying patient characteristics including demographics, comorbidities, length of stay, as well as primary and secondary diagnosis and mortality.<h4>Results</h4>A total of 200 patients chart were reviewed ...[more]

PMID: 32085764

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Project description:BackgroundThe United States lacks a timely and accurate nationwide surveillance system for acute ischemic stroke (AIS). We use the Get With The Guidelines-Stroke registry to apply poststratification survey weights to generate national assessment of AIS epidemiology, hospital care quality, and in-hospital outcomes.MethodsClinical data from the Get With The Guidelines-Stroke registry were weighted using a Bayesian interpolation method anchored to observations from the national inpatient sample. To generate a US stroke forecast for 2019, we linearized time trend estimates from the national inpatient sample to project anticipated AIS hospital volume, distribution, and race/ethnicity characteristics for the year 2019. Primary measures of AIS epidemiology and clinical care included patient and hospital characteristics, stroke severity, vital and laboratory measures, treatment interventions, performance measures, disposition, and clinical outcomes at discharge.ResultsWe estimate 552 476 patients with AIS were admitted in 2019 to US hospitals. Median age was 71 (interquartile range, 60-81), 48.8% female. Atrial fibrillation was diagnosed in 22.6%, 30.2% had prior stroke/transient ischemic attack, and 36.4% had diabetes. At baseline, 46.4% of patients with AIS were taking antiplatelet agents, 19.2% anticoagulants, and 46.3% cholesterol-reducers. Mortality was 4.4%, and only 52.3% were able to ambulate independently at discharge. Performance nationally on AIS achievement measures were generally higher than 95% for all measures but the use of thrombolytics within 3 hours of early stroke presentations (81.9%). Additional quality measures had lower rates of receipt: dysphagia screening (84.9%), early thrombolytics by 4.5 hours (79.7%), and statin therapy (80.6%).ConclusionsWe provide timely, reliable, and actionable US national AIS surveillance using Bayesian interpolation poststratification weights. These data may facilitate more targeted quality improvement efforts, resource allocation, and national policies to improve AIS care and outcomes.

Dataset Information

Medical surveillance unit: patient characteristics, outcome, and quality of care in Saskatchewan, Canada.

Publications

Medical surveillance unit: patient characteristics, outcome, and quality of care in Saskatchewan, Canada.

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