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

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

860
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...
860
Ethical Dilemmas II01:30

Ethical Dilemmas II

2.3K
Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
2.3K
Ethical Issues01:27

Ethical Issues

2.0K
Nurses are essential in patient care, upholding the ethical principles of their profession and effectively navigating ethical dilemmas. Neglecting ethical issues can lead to inadequate patient care, compromised therapeutic relationships, and moral distress among healthcare workers.
Ethical Concerns in Healthcare:
2.0K
Critical Thinking II01:25

Critical Thinking II

4.1K
Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:
4.1K
Bioequivalence of Drugs: Drugs with Multiple Indications01:09

Bioequivalence of Drugs: Drugs with Multiple Indications

150
The concept of therapeutic equivalence (TE) in drugs with multiple indications is complex. A generic drug may be therapeutically equivalent to a brand-name product for one specific indication, but this doesn't necessarily mean it's equivalent for all other indications. Evidence of TE in one patient group and bioequivalence shown in healthy volunteers can support—but not confirm—TE for other indications. However, definitive proof requires individual clinical studies for each...
150
Nursing Diagnosis01:22

Nursing Diagnosis

3.6K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
3.6K

You might also read

Related Articles

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

Sort by
Same author

CEP-CEPR1 Signalling in Cereal Crops: Integrating Nitrogen Demand, Root System Architecture, and Drought Resilience.

Plant, cell & environment·2026
Same author

Novel Mannich based derivatives of isoliquiritigenin and liquiritigenin, bioactive constituents of <i>Glycyrrhiza glabra</i>, as potent antimalarial agents.

Natural product research·2026
Same author

Association of PARP1 SNP (rs1136410) with Brain Tumor Risk: Insights from Khyber Pakhtunkhwa.

Asian Pacific journal of cancer prevention : APJCP·2026
Same author

Exploring Mixed Feeding Practices Among Indian Mothers: Knowledge, Attitudes, and Reported Barriers to Exclusive Breastfeeding.

Cureus·2026
Same author

Multi-Omics Dissection of Drought Stress Responses in Crops: From Molecular Regulatory Networks to Climate-Resilient Breeding Applications.

International journal of molecular sciences·2026
Same author

Sarcopenic Obesity in Indian Adults with Type 2 Diabetes Mellitus: Prevalence and Associated Risk Factors.

Indian journal of endocrinology and metabolism·2026

Related Experiment Video

Updated: Jan 16, 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

15.0K

Navigating Complexities: Clinical Decision-Making in Patients With Multiple Comorbidities.

Muhammad Rizwan Umer1, Areeba Asghar2, Rubia Mazhar3

  • 1Trauma Surgery, Royal Sussex county Hospital, Brighton, GBR.

Cureus
|September 29, 2025
PubMed
Summary

This study on patients with multiple chronic conditions found hypertension and diabetes are common. Age and BMI predict atrial fibrillation, highlighting the need for integrated care strategies.

Keywords:
atrial fibrillationcardiovascular diseasediabetesexploratory data analysishba1chypertensionmultimorbidityprincipal component analysis

More Related Videos

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

906

Related Experiment Videos

Last Updated: Jan 16, 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

15.0K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

906

Area of Science:

  • Clinical Medicine
  • Public Health
  • Gerontology

Background:

  • Multimorbidity, the coexistence of multiple chronic conditions, presents significant challenges in healthcare.
  • Understanding gender-based differences and clinical predictors in multimorbidity is crucial for effective patient management.

Purpose of the Study:

  • To explore clinical characteristics, comorbidities, and health outcomes in patients with multiple chronic conditions.
  • To identify gender-based differences and key clinical predictors (age, BMI, blood pressure, HbA1c, diabetes, hypertension) of health outcomes.
  • To investigate predictors of atrial fibrillation in this population.

Main Methods:

  • Analysis of data from 450 patients with multiple chronic conditions.
  • Exploratory data analysis, correlation analysis, logistic regression, and principal component analysis.
  • Assessment of clinical variables including age, BMI, blood pressure, HbA1c, and comorbidities like diabetes and hypertension.

Main Results:

  • Hypertension (81%), diabetes (72%), and cardiovascular diseases (48%) were the most prevalent comorbidities.
  • Age (OR=1.05) and BMI (OR=1.08) were significant predictors of atrial fibrillation.
  • Principal component analysis identified key components related to cardiovascular and metabolic health, explaining 37.2% of the variance.

Conclusions:

  • Integrated care strategies addressing both metabolic and cardiovascular health are essential for patients with multimorbidity.
  • While age and BMI are predictors of atrial fibrillation, other unmeasured factors likely play a role.
  • Further research is needed to elucidate the complex interplay of factors contributing to adverse health outcomes in multimorbidity.