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

Analgesia and Pain Management01:25

Analgesia and Pain Management

560
Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
560
Data Validation01:03

Data Validation

5.0K
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...
5.0K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

565
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
565
Nociception01:44

Nociception

27.8K
Nociception—the ability to feel pain—is essential for an organism’s survival and overall well-being. Noxious stimuli such as piercing pain from a sharp object, heat from an open flame, or contact with corrosive chemicals are first detected by sensory receptors, called nociceptors, located on nerve endings. Nociceptors express ion channels that convert noxious stimuli into electrical signals. When these signals reach the brain via sensory neurons, they are perceived as pain.
27.8K
Opioid Analgesics: Morphine and Other Natural Cogeners01:20

Opioid Analgesics: Morphine and Other Natural Cogeners

213
Opioids are a class of drugs that mimic endogenous opioid peptides and act on opioid receptors, and help in pain relief. These compounds are classified as natural, synthetic, or semi-synthetic. Natural opioids, like morphine, codeine, and thebaine, are derived from the opium poppy plant (Papaver somniferum or Papaver album) and are termed opiates. Synthetic opioids are artificial, while semi-synthetic opioids combine natural and synthetic compounds. Morphine, a prototypical opioid, possesses a...
213
Opioid Analgesics: Synthetic and Semisynthetic Opioids01:15

Opioid Analgesics: Synthetic and Semisynthetic Opioids

264
Synthetic and semisynthetic opioids are pivotal in pain management and tackling opioid addiction. Semisynthetic opioids, including morphinans (morphine derivatives), oxycodone, oxymorphone, hydrocodone, and hydromorphone, have improved pharmacokinetic profiles compared to morphine. Additionally, heroin and 6-MAM (6-Monoacetylmorphine) show better CNS penetration than morphine due to heightened lipid solubility. Hydromorphone, a potent opioid, undergoes hepatic metabolism to form the active...
264

You might also read

Related Articles

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

Sort by
Same author

Predicting Neonatal Respiratory Outcomes Using Machine Learning: A Systematic Review Through a Life Course Lens.

Advances in neonatal care : official journal of the National Association of Neonatal Nurses·2026
Same author

Leveraging artificial intelligence to optimize neuromodulation in the treatment of patients with chronic pain.

Frontiers in pain research (Lausanne, Switzerland)·2026
Same author

On the Ethical Aspect of Artificial Intelligence-Based Decision Process for Transplantation.

Studies in health technology and informatics·2026
Same author

A Novel Approach for Handling Missing Data in Multivariate Time Series Clustering: Case Study on Predicting Delayed Graft Function.

Studies in health technology and informatics·2026
Same author

Effectiveness of Educational Intervention for Caregivers of Older Adults who have Suffered a Stroke Evaluated by Nursing Outcomes Classification.

International journal of nursing knowledge·2026
Same author

Inflammaging: From Mechanisms to Clinical Implications and Targeted Interventions.

Aging and disease·2026

Related Experiment Video

Updated: Jun 19, 2025

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.6K

An Information Model on Pain Management: Cultural Validation and Refinement.

Aline Tsuma Gaedke Nomura1, Lisiane Pruinelli2, Amália de Fátima Lucena3

  • 1Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil.

Studies in Health Technology and Informatics
|July 25, 2024
PubMed
Summary

This study refined a pain management information model in a Brazilian hospital. The expert consensus approach validated key attributes, improving electronic systems and interventions.

Keywords:
big dataelectronic health recordsinformaticsmedical recordspain Management

More Related Videos

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
09:16

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

Published on: April 5, 2019

10.6K
Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
09:00

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

3.5K

Related Experiment Videos

Last Updated: Jun 19, 2025

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.6K
Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
09:16

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

Published on: April 5, 2019

10.6K
Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
09:00

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

Published on: July 7, 2023

3.5K

Area of Science:

  • Healthcare Informatics
  • Nursing Research
  • Clinical Systems

Background:

  • Effective pain management is crucial in hospital settings.
  • Information models are essential for standardizing care and improving electronic health records.
  • Adapting models to institutional culture enhances their applicability and effectiveness.

Purpose of the Study:

  • To validate and refine an information model for pain management within a Brazilian hospital context.
  • To incorporate institutional culture considerations into the pain management information model.
  • To develop a reusable model for improving electronic systems and interventions.

Main Methods:

  • An expert consensus approach was employed in two stages.
  • Stage one involved a computerized questionnaire and Content Validity Index (CVI) calculation with 19 experts.
  • Stage two utilized an online meeting with three experts for further validation and refinement.

Main Results:

  • Out of 11 initial attributes, five were validated in the first stage (75% consensus).
  • The second stage suggested including new attributes related to institutional culture.
  • The final model comprised 23 revised attribute sets: 12 validated, 7 suggested, and 4 not validated.

Conclusions:

  • The refined Brazilian pain management information model is suitable for supporting interventions.
  • The model can guide improvements in the institution's electronic system.
  • This adaptable model holds potential for reuse in other healthcare institutions.