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

Reliability and Validity01:29

Reliability and Validity

13.6K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.6K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

1.1K
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...
1.1K
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

2.8K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.8K
Data Validation01:03

Data Validation

6.2K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.2K
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

419
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
419
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

1.3K
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...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Frailty is associated with lower-limb osteoarthritis incidence over six-years regardless of sex and type of frailty index in the Canadian longitudinal study on aging.

Osteoarthritis and cartilage open·2026
Same author

Sedentary time and television viewing time are associated with an increased risk for all-cause mortality: A systematic review of systematic reviews.

Preventive medicine·2026
Same author

Frailty and intrinsic capacity: integrating complementary concepts to promote healthy ageing and transformation of care.

Age and ageing·2026
Same author

A hybrid type 1 trial of a digital behaviour change intervention for frailty prevention in community-dwelling older adults aged 60 years and older.

Age and ageing·2026
Same author

Bedrest, frailty and exercise countermeasures: A 14-day head-down tilt study in mid-older aged adults.

Experimental gerontology·2026
Same author

Sit-to-Stand Desk Converters Decrease Sedentary Time and Increase Standing Time in Young Adults: A Randomized Clinical Trial.

Journal of occupational and environmental medicine·2026

Related Experiment Video

Updated: Dec 13, 2025

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
05:53

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Published on: July 24, 2013

16.9K

FRAIL scale: Predictive validity and diagnostic test accuracy.

Mark Q Thompson1,2, Olga Theou1,3, Graeme R Tucker1

  • 1National Health and Medical Research Council (NHMRC) Centre of Research Excellence: Frailty and Healthy Ageing, University of Adelaide, Adelaide, South Australia, Australia.

Australasian Journal on Ageing
|August 5, 2020
PubMed
Summary
This summary is machine-generated.

The FRAIL scale effectively predicts mortality over 10 years. Diagnostic test accuracy varied, but the scale shows potential as a frailty screening tool.

Keywords:
Australiafrailtymortalityscreening

More Related Videos

Frailty Assessment in an Aging Mouse Model
06:58

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

275
Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
04:00

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles

Published on: July 26, 2024

1.0K

Related Experiment Videos

Last Updated: Dec 13, 2025

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
05:53

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Published on: July 24, 2013

16.9K
Frailty Assessment in an Aging Mouse Model
06:58

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

275
Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
04:00

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles

Published on: July 26, 2024

1.0K

Area of Science:

  • Gerontology
  • Clinical Epidemiology

Background:

  • Frailty is a significant geriatric syndrome associated with adverse health outcomes.
  • Accurate assessment tools are crucial for identifying frail individuals and implementing interventions.

Purpose of the Study:

  • To evaluate the FRAIL scale's predictive validity for all-cause mortality.
  • To assess the diagnostic test accuracy (DTA) of the FRAIL scale compared to the established frailty phenotype (FP).

Main Methods:

  • A cohort of 846 community-dwelling older adults was assessed using modified FRAIL and FP measures.
  • Mortality data were collected through death records linkage.
  • Statistical analyses included survival analysis and DTA metrics (sensitivity, specificity, Youden index, auROC).

Main Results:

  • The FRAIL scale demonstrated significant predictive validity for mortality up to 10 years (adjusted Hazard Ratio: 2.60, P < .001).
  • Diagnostic test accuracy showed acceptable specificity (86.8%) and Youden index (0.50), but lower sensitivity (63.6%) and area under the receiver operator curve (0.75).
  • Improved DTA was observed when using a FRAIL scale cut-point of ≥2 characteristics versus ≥3.

Conclusions:

  • The FRAIL scale is a validated predictor of mortality in older adults.
  • The diagnostic performance of the FRAIL scale is influenced by the chosen cut-point.
  • The FRAIL scale presents as a potentially valuable instrument for frailty screening.