Triage Algorithm for Chest Radiography for Community-Acquired Pneumonia of Emergency Department Patients: Missing Data Cripples Research

Paul R. Yarnold

Optimal Data Analysis, LLC

Novometric analysis is used to develop a triage algorithm for rapid ordering of chest radiography for community-acquired pneumonia (CAP), for a retrospective Emergency Department-based matched case-control study providing data on attributes assessed for 100 radiographic confirmed cases of both CAP and influenza-like illness (ILI). Results for the least complex model revealed intake temperature exceeding 99.25°F was 73.9% sensitive [exact discrete 95% confidence interval (CI): 62.5-84.4%] and 67.9% specific (95% CI: 57.1-78.3%). Analysis was compromised by missing data so novometry was conducted omitting structural decomposition analysis in order to evaluate underlying potential of the attributes. Findings illustrate how missing data limit the fruitfulness of empirical research.

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What Most Satisfies Emergency Department Patients?

Paul R. Yarnold

Optimal Data Analysis, LLC

Novometric analysis is used to determine aspects of care which induce greatest satisfaction among Emergency Department (ED) patients. Data were obtained from a satisfaction survey with responses obtained using five-point Likert-type scales. The first analysis discriminated 1,045 strongly satisfied and 671 moderately satisfied patients, and the second analysis discriminated 1,012 patients very likely and 584 patients moderately likely to recommend the ED to others. Maximum satisfaction was associated with amount of attention nurses paid to patients, and maximum likelihood of recommending the ED was associated with physician concern for patient comfort.

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