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

Peripheral Artery Disease IV: Nursing Management01:26

Peripheral Artery Disease IV: Nursing Management

19
 The nursing management of a patient with peripheral artery disease (PAD) begins with a thorough assessment of the patient’s health history and clinical manifestations.AssessmentHealth History: Evaluate the patient’s history of hypertension, hyperlipidemia, family history of cardiovascular issues, and lifestyle factors such as dietary patterns, smoking, and physical activity.Physical Examination:Assess the affected extremity for decreased or absent peripheral pulses,...
19
Data Validation01:03

Data Validation

5.2K
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...
5.2K
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

953
Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
953
The Scientific Method in Nursing Process01:18

The Scientific Method in Nursing Process

10.6K
The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be...
10.6K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.2K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
2.2K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

2.9K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
2.9K

You might also read

Related Articles

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

Sort by
Same author

Comparing Risk Profiles in Critical Care Patients With Stage 2 and Deep Tissue Pressure Injuries: Exploratory Retrospective Cohort Study.

JMIR dermatology·2023
Same author

Nursing Assessment of Pressure Injury Risk with the Braden Scale Validated against Sensor-Based Measurement of Movement.

Healthcare (Basel, Switzerland)·2022
Same author

Mitigating the Effects of a Pandemic: Facilitating Improved Nursing Home Care Delivery Through Technology.

JMIR aging·2020
Same author

TEAM-UP for quality: a cluster randomized controlled trial protocol focused on preventing pressure ulcers through repositioning frequency and precipitating factors.

BMC geriatrics·2018
Same journal

Usability and Adoption of Smartwatches by Older Adults in Bangladesh: User Study.

JMIR aging·2026
Same journal

Associations of Solid Fuel Use and Circadian Rhythm Syndrome With Physical Function and Muscle Strength in Middle-Aged and Older Adults: Nationwide Cohort Study in China.

JMIR aging·2026
Same journal

Use of Wearable Technology for Measuring and Characterizing Sedentary Behavior in People With Mild Cognitive Impairment and Dementia: Systematic Review.

JMIR aging·2026
Same journal

Patient Satisfaction With Telehealth Visits in Rural Compared With Urban Communities: Single-Center Study.

JMIR aging·2026
Same journal

Exploring Expectations, Ethical Dimensions, and Values for Voice-Enabled AI Assistants That Support Older Adults and Informal Family Caregivers: Participatory Speculative Design Study.

JMIR aging·2026
Same journal

Impact of Sleep Quality on Gait Variability: Pilot Cohort Study.

JMIR aging·2026
See all related articles

Related Experiment Video

Updated: Aug 11, 2025

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
02:28

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients

Published on: March 1, 2024

474

The Nursing Home Severity Index and Application to Pressure Injury Risk: Measure Development and Validation Study.

Tracey L Yap1, Susan D Horn2, Phoebe D Sharkey3

  • 1School of Nursing, Duke University, Durham, NC, United States.

JMIR Aging
|February 9, 2023
PubMed
Summary
This summary is machine-generated.

A new Nursing Home Severity Index (NHSI) was developed to predict pressure injuries in residents. Combining NHSI dimensions with the Worst-Braden score significantly improved prediction accuracy for pressure injury risk.

Keywords:
clinicaldevelopmentgeriatricsinjurynursing homespressure injurypressure ulcerpreventionpropensity scoresriskseverity of illness indextreatmentvalidation

More Related Videos

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
06:52

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit

Published on: September 30, 2020

9.9K
Mouse Model of Pressure Ulcers After Spinal Cord Injury
06:51

Mouse Model of Pressure Ulcers After Spinal Cord Injury

Published on: March 9, 2019

9.5K

Related Experiment Videos

Last Updated: Aug 11, 2025

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
02:28

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients

Published on: March 1, 2024

474
Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
06:52

Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit

Published on: September 30, 2020

9.9K
Mouse Model of Pressure Ulcers After Spinal Cord Injury
06:51

Mouse Model of Pressure Ulcers After Spinal Cord Injury

Published on: March 9, 2019

9.5K

Area of Science:

  • Gerontology
  • Clinical Nursing
  • Health Services Research

Background:

  • Nursing home residents require accurate clinical severity assessment for outcome prediction and treatment planning.
  • Existing tools may not adequately capture the complexity of nursing home populations.
  • A need exists for a tailored severity index for nursing home residents.

Purpose of the Study:

  • To develop and validate the Nursing Home Severity Index (NHSI).
  • To create a clinical severity measure for nursing home residents.
  • To enable tailored prediction of outcomes, specifically pressure injury risk.

Main Methods:

  • Retrospective, nonexperimental design using secondary data from 9 nursing homes.
  • Development involved expert opinion and literature review to identify severity indicators.
  • Validation used logistic regression models, comparing NHSI with/without Worst-Braden scores to predict pressure injury risk.

Main Results:

  • The NHSI-Pressure Injury incorporated laboratory, weights/vitals/pain, underweight, and locomotion dimensions.
  • Adding NHSI dimensions to Worst-Braden scores increased predictive accuracy (C statistic from 0.627 to 0.748, P<.001).
  • The combined model improved detection of pressure injury development by 21 residents in the highest risk strata.

Conclusions:

  • The Nursing Home Severity Index-Pressure Injury was successfully developed and validated.
  • Integrating severity dimensions with Worst-Braden scores enhances predictive capacity for pressure injuries.
  • The NHSI has potential to improve individualized pressure injury prevention strategies and quality of care.