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

Genomics02:02

Genomics

38.7K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
38.7K
Causality in Epidemiology01:21

Causality in Epidemiology

1.2K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.2K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

357
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
357
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

9.3K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
9.3K
Factors Affecting Illness01:18

Factors Affecting Illness

4.8K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.8K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

325
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
325

You might also read

Related Articles

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

Sort by
Same author

Integrated care-The way of the generalist.

Families, systems & health : the journal of collaborative family healthcare·2026
Same author

Planetary Health Research Ethics in the Age of Artificial Intelligence: Environmental, Governance, and Epistemic Dimensions.

The American journal of bioethics : AJOB·2026
Same author

Responses to the inverse care law in Scottish general practice and the role of the Deep End project: a qualitative study.

BJGP open·2026
Same author

Primary care and community interventions for multimorbidity involving depression or anxiety: systematic review with meta-analysis.

BMJ medicine·2026
Same author

Factors Influencing Quality Improvement Success in Primary Care: A Comparative Case Study of High- and Low-Performing Sites in Patient Hypertension Outcomes.

Journal of the American Heart Association·2026
Same author

Mental disorders, mortality following myocardial infarction and the impact of the COVID-19 pandemic in England: a cohort study.

European heart journal. Quality of care & clinical outcomes·2026
Same journal

Evaluating Restraint and Seclusion as Care Processes Rather Than Compliance Metrics.

Journal of evaluation in clinical practice·2026
Same journal

Burden in Informal Caregivers of Palliative Care Patients With Pressure Injuries: Perceived Social Support and Influencing Factors Care Burden in Palliative Caregivers.

Journal of evaluation in clinical practice·2026
Same journal

Organisational Problems, Role Stress, and Job Satisfaction Among Emergency Department Workers: A Multicenter Mixed-Effects Study.

Journal of evaluation in clinical practice·2026
Same journal

Highlighting a Systemic Bias in the Responder Odds Ratio.

Journal of evaluation in clinical practice·2026
Same journal

Epistemological Issues in Clinical Reasoning: A Scoping Review.

Journal of evaluation in clinical practice·2026
Same journal

An Evaluation of AI-Generated Clinical Notes in the OpenNotes Era: A Thematic Analysis of Clinician Discourse.

Journal of evaluation in clinical practice·2026
See all related articles

Related Experiment Video

Updated: Nov 17, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.7K

Beyond multimorbidity: What can we learn from complexity science?

Joachim P Sturmberg1,2, Linn O Getz3, Kurt C Stange4

  • 1School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia.

Journal of Evaluation in Clinical Practice
|February 15, 2021
PubMed
Summary
This summary is machine-generated.

Multimorbidity, the presence of multiple chronic conditions, requires a shift towards person-focused care. Complexity science offers a framework to integrate biological, biographical, and contextual factors for better patient management.

Keywords:
complexity sciencehealthmultimorbidityperson-centered care

More Related Videos

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.5K
Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.4K

Related Experiment Videos

Last Updated: Nov 17, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.7K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.5K
Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
08:53

Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine

Published on: January 26, 2024

1.4K

Area of Science:

  • Complex systems science
  • Public health
  • Healthcare management

Background:

  • Multimorbidity (multiple chronic conditions) poses a significant global health challenge.
  • Current single-condition focus in evidence-based medicine inadequately addresses complex patient needs.
  • Existing classification and guidelines struggle with the heterogeneity of multimorbidity.

Purpose of the Study:

  • To propose complexity science as a framework for understanding and managing multimorbidity.
  • To advocate for a person-focused care approach complementing disease-specific specialisms.
  • To explore theoretical, practical, and policy implications for multimorbidity care.

Main Methods:

  • Conceptual analysis integrating complexity science principles with multimorbidity.
  • Exploration of principles such as non-linearity, emergence, and contextual factors.
  • Formulation of key questions for patient-centered care in multimorbidity.

Main Results:

  • Complexity science provides an integrated perspective on patients' environments, experiences, and physiology.
  • It highlights the importance of non-linearity, tipping points, and co-evolution in health.
  • Identifies critical questions regarding patient priorities and integrated care delivery.

Conclusions:

  • Complexity science offers a transformational lens for viewing and managing multimorbidity.
  • It facilitates the integration of biological, biographical, and contextual factors.
  • This approach guides the development of person-centered care strategies for individuals with multiple chronic conditions.