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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
Odds Ratio01:09

Odds Ratio

The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...

You might also read

Related Articles

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

Sort by
Same author

Extending the Discussion on Informed Consent.

Journal of the American College of Surgeons·2022
Same author

Systematic Review of Preoperative Risk Discussion in Practice.

Journal of surgical education·2020
Same author

Does adding clinical data to administrative data improve agreement among hospital quality measures?

Healthcare (Amsterdam, Netherlands)·2016
Same author

How pooling fragmented healthcare encounter data affects hospital profiling.

The American journal of managed care·2015
Same author

Patient perceptions of surgical informed consent: is repeat back helpful or harmful?

Journal of patient safety·2014
Same author

Surgical care and career opportunities in a changing practice paradigm.

Journal of the American College of Surgeons·2013
Same journal

Women with firearm injuries: A multicenter mixed-methods study.

American journal of surgery·2026
Same journal

SBAS presidential address: A surgeon-scientist's journey from haptic science to digital performance metrics.

American journal of surgery·2026
Same journal

Using Dr. Google and AI to stay informed.

American journal of surgery·2026
Same journal

Revealing the sex divide: Primary hyperparathyroidism across the American population.

American journal of surgery·2026
Same journal

Pressure points: A pilot study using the NASA-TLX tool to measure the intensity of Acute care surgery work.

American journal of surgery·2026
Same journal

Raised to run faster, not to heal moral injury and the surgeon's capacity to lead.

American journal of surgery·2026
See all related articles

Related Experiment Video

Updated: Jun 19, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Adjusted or unadjusted outcomes.

Aaron S Fink1

  • 1Surgical Service, Veteran Affairs Medical Center, Atlanta, Decatur, GA, USA. aaron.fink@va.gov

American Journal of Surgery
|October 31, 2009
PubMed
Summary
This summary is machine-generated.

Risk adjustment is crucial for accurately assessing surgical quality. While clinical data offers robust insights, research continues to explore cost-effective administrative data alternatives for better surgical outcome evaluation.

Related Experiment Videos

Last Updated: Jun 19, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

  • Surgical quality assessment and outcomes research.
  • Health services research and healthcare quality improvement.

Background:

  • Traditional surgical outcome assessment relied on mortality/morbidity conferences and unadjusted audits.
  • Comparing surgical quality is challenging due to varying patient risk profiles, necessitating risk adjustment.
  • Existing risk adjustment methods use either administrative claims or clinical data, each with cost-benefit trade-offs.

Purpose of the Study:

  • To review and discuss risk adjustment strategies for surgical quality assessment.
  • To explore alternatives to clinical data for risk adjustment in surgical outcomes.

Main Methods:

  • Review of previously published works by the author and colleagues on risk adjustment alternatives.
  • Exploration of strategies beyond traditional clinical data abstraction for surgical quality metrics.

Main Results:

  • Risk adjustment is considered superior for evaluating the true quality of surgical outcomes.
  • The National Surgical Quality Improvement Program (NSQIP) using clinical data is the current gold standard.

Conclusions:

  • Risk adjustment significantly enhances the accuracy of surgical quality assessment.
  • Further research is required to balance the benefits of clinical data with the cost-effectiveness of administrative data.