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Related Concept Videos

Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
Data Collection III01:05

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.

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Correlations between PANCE performance, physician assistant program grade point average, and selection criteria.

Gina Brown1, Brittany Imel, Alyssa Nelson

  • 1Wichita State University, Wichita, Kansas, USA. gina.brown@wichita.edu

The Journal of Physician Assistant Education : the Official Journal of the Physician Assistant Education Association
|July 18, 2013
PubMed
Summary
This summary is machine-generated.

Physician Assistant National Certifying Exam (PANCE) scores showed no correlation with undergraduate GPA or healthcare experience. However, PANCE scores correlated with overall PA program GPA, indicating program performance is a key predictor.

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Area of Science:

  • Medical Education
  • Physician Assistant Studies
  • Health Professions Education

Background:

  • The Physician Assistant National Certifying Exam (PANCE) is crucial for PA licensure.
  • Understanding factors influencing PANCE performance is vital for PA programs.
  • Previous research has explored various predictors of PANCE success.

Purpose of the Study:

  • To investigate correlations between first-time PANCE scores and pass/fail status.
  • To examine relationships with physician assistant (PA) program didactic grade point average (GPA).
  • To assess the link with specific PA program selection criteria.

Main Methods:

  • Retrospective analysis of graduating PA classes from 2007-2009 (N=119).
  • Evaluation of PANCE scores and pass/fail status.
  • Correlation analysis with undergraduate GPA, science prerequisite GPA, healthcare experience, and PA program GPA.

Main Results:

  • No significant correlation found between PANCE performance and undergraduate GPA, science prerequisite GPA, or healthcare experience.
  • A moderate correlation existed between PANCE pass/fail status and the institution type where science prerequisites were completed (r = 0.27, P = .003).
  • PANCE scores demonstrated moderate to strong correlations with overall PA program GPA (r = 0.67), PA pharmacology grade (r = 0.68), and PA anatomy grade (r = 0.41).

Conclusions:

  • Correlations between traditional selection criteria and PANCE performance were limited.
  • Further research into the influence of prerequisite institution type on PANCE outcomes may refine admissions strategies.
  • The strong correlation between PANCE scores and PA program GPA suggests its utility for academic advising and remediation planning.