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

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 illness...
Patient-centered Care01:13

Patient-centered Care

Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
Primary Healthcare Services01:30

Primary Healthcare Services

Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...

You might also read

Related Articles

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

Sort by
Same author

Assessing Reliability of an Electronic Gout Flare Assessment Protocol.

Arthritis care & researchยท2026
Same author

Distinctive factors driving microplastic distribution in arid zone ecosystems.

The Science of the total environmentยท2026
Same author

Updated International Patient Decision Aid Standards (IPDAS version 5.0): modified Delphi, evidence informed consensus process.

BMJ (Clinical research ed.)ยท2026
Same author

Effect of Emergency Department-Initiated Video-Enhanced Advance Care Planning on Documentation and Goal-Concordant Care: A Randomized Clinical Trial.

Journal of general internal medicineยท2026
Same author

Sex and gender reporting and differences in trials evaluating patient decision aids: a secondary analysis of systematic review with meta-analysis.

BMJ openยท2026
Same author

Race, Ethnicity, and Language Differences in Inpatient Discharge Prescriptions for Alcohol Use Disorder at an Academic Medical Center.

Journal of general internal medicineยท2026

Related Experiment Video

Updated: May 26, 2026

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

Defining patient complexity from the primary care physician's perspective: a cohort study.

Richard W Grant1, Jeffrey M Ashburner, Clemens S Hong

  • 1Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA. Richard.W.Grant@KP.org

Annals of Internal Medicine
|December 21, 2011
PubMed
Summary

Primary care physicians identified about a quarter of patients as complex, considering medical, social, and behavioral factors. This physician-defined complexity showed limited agreement with standard algorithms.

More Related Videos

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Related Experiment Videos

Last Updated: May 26, 2026

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Area of Science:

  • Health Services Research
  • Primary Care Medicine
  • Patient Complexity

Background:

  • Complex patients with multifaceted health needs are a growing focus in healthcare system redesign.
  • Understanding how primary care physicians (PCPs) define and identify complex patients is crucial for effective health system strategies.

Purpose of the Study:

  • To characterize patients identified as complex by their PCPs.
  • To compare PCP-defined complexity with established comorbidity-based algorithms.

Main Methods:

  • A cohort study involving 40 physicians across various practice settings within a US primary care network.
  • Physicians reviewed patient samples, identifying complex cases based on their clinical judgment.
  • PCP-defined complexity was compared against Charlson score, Higashi score, and a CMS algorithm.

Main Results:

  • Physicians identified 26.2% of patients as complex, with an average of 2.2 domains of complexity per patient.
  • Key predictors of complexity included age, poorly controlled diabetes, antipsychotic use, alcohol-related diagnoses, and insurance status.
  • Agreement between PCP definitions and the other algorithms ranged from 26.2% to 56.0%.

Conclusions:

  • PCPs identify a significant portion of patients as complex, influenced by medical, social, and behavioral factors.
  • Physician judgment of patient complexity has only moderate concordance with common comorbidity-based scoring systems.
  • Findings highlight the multifaceted nature of patient complexity beyond traditional comorbidity measures.