Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Ranks01:02

Ranks

Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
Hospitals-II00:59

Hospitals-II

Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in hospitals have...
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Hospitals-I01:28

Hospitals-I

Hospitals offer medical and surgical care to the sick and injured, along with accommodation while they recover. At the same time, they also provide outpatient, emergency, psychiatric, and rehabilitation services to meet various community needs. In addition to providing medical care, hospitals also act as hubs for medical research and training. Hospitals use clinical procedures and evidence-based practice standards to deliver patient care. To deliver safe and efficient care, a nurse must stay up...
Wilcoxon Rank-Sum Test01:21

Wilcoxon Rank-Sum Test

The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
Interpreting Run Charts01:25

Interpreting Run Charts

Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Editor's Note: Targeting Akt and Heat Shock Protein 90 Produces Synergistic Multiple Myeloma Cell Cytotoxicity in the Bone Marrow Microenvironment.

Clinical cancer research : an official journal of the American Association for Cancer Research·2024
Same author

Risk for Clinically Relevant Adverse Cardiac Events in Patients With Chest Pain at Hospital Admission.

JAMA internal medicine·2015
Same author

Expression of XBP1s in bone marrow stromal cells is critical for myeloma cell growth and osteoclast formation.

Blood·2012
Same author

A novel role of IL-17-producing lymphocytes in mediating lytic bone disease in multiple myeloma.

Blood·2010
Same author

Stereotyping as a barrier to collaboration: Does interprofessional education make a difference?

Nurse education today·2010
Same author

Utilization of micelles formed from poly(ethylene glycol)-block-poly(epsilon-caprolactone) block copolymers as nanocarriers to enable hydrophobic red two-photon absorbing emitters for cells imaging.

Journal of biomedical materials research. Part A·2009

Related Experiment Videos

Determining hospital performance based on rank ordering: is it appropriate?

Judy Anderson1, Mark Hackman, Jeff Burnich

  • 1Outcomes Measurement Resources, Mount Carmel Health, Columbus, Ohio 43213, USA. janderson@mchs.com

American Journal of Medical Quality : the Official Journal of the American College of Medical Quality
|May 9, 2007
PubMed
Summary

Pay for performance initiatives rank hospitals on quality measures. However, this study found significant variability in hospital rankings, questioning the reliability of rank ordering for performance assessment.

Related Experiment Videos

Area of Science:

  • Health Services Research
  • Healthcare Quality Improvement
  • Health Policy Analysis

Background:

  • Pay for performance (PFP) initiatives increasingly use hospital and physician rankings based on quality of care measures.
  • Payment models are often tied to a provider's rank among their peers.

Purpose of the Study:

  • To examine the variability in ranking hospitals based on quality of care measures.
  • To assess the impact of this variability on comparing hospital performance.

Main Methods:

  • Analysis of variability in hospital ranks for three quality of care measures.
  • Data sourced from the Centers for Medicare and Medicaid Services (CMS) Hospital Quality Alliance project.
  • Measures examined: congestive heart failure discharge instructions, heart attack beta-blocker use, and pneumonia antibiotic timing.

Main Results:

  • Considerable uncertainty was identified in the ranking of hospitals across the selected quality measures.
  • Variability in rankings suggests potential instability in performance comparisons.
  • Rank ordering may not be a consistently reliable method for evaluating hospital performance.

Conclusions:

  • The significant variability in hospital rankings raises concerns about the validity of using rank ordering as a sole determinant of performance.
  • Further research is needed to refine performance measurement and payment models.
  • Alternative methods for assessing hospital quality may be necessary to ensure fair and accurate comparisons.