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

Reliability and Validity01:29

Reliability and Validity

14.1K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
In Vitro Drug Release Testing: Overview, Development and Validation01:10

In Vitro Drug Release Testing: Overview, Development and Validation

368
In vitro dissolution and drug release tests assess how quickly and how much of a drug is released from its dosage form into an aqueous medium under standardized laboratory conditions. These tests are essential tools in pharmaceutical development and quality assurance, offering insight into the drug's performance before clinical use.During formulation development, dissolution testing identifies incomplete or inconsistent drug release issues. It also supports decisions on selecting the optimal...
368
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

430
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
430
Inhaled Medications01:23

Inhaled Medications

833
Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
833
Data Validation01:15

Data Validation

2.3K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
2.3K
Data Validation01:03

Data Validation

7.0K
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...
7.0K

You might also read

Related Articles

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

Sort by
Same author

Late cerebrospinal fluid shunt infections: a Hydrocephalus Clinical Research Network study.

Journal of neurosurgery. Pediatrics·2026
Same author

Early Antibiotic Discontinuation for Children With a Positive Rapid Respiratory Viral Test Hospitalized for Suspected Bacterial Tracheostomy-Associated Infections.

Pediatric pulmonology·2026
Same author

Ventriculoperitoneal Shunts and Other Neurosurgical Considerations in Children with Medical Complexity.

Pediatric clinics of North America·2026
Same author

Surgical Site Infections and Perioperative Antibiotic Use in Children with Medical Complexity.

Pediatric clinics of North America·2026
Same author

Challenges to Caring for Injured Children With Special Health Care Needs in Emergency Settings.

Hospital pediatrics·2026
Same author

Empiric Antibiotic Prescription Patterns in Children With Cerebrospinal Fluid Shunt Infection.

The Pediatric infectious disease journal·2026

Related Experiment Video

Updated: Feb 13, 2026

Validated LC-MS/MS Panel for Quantifying 11 Drug-Resistant TB Medications in Small Hair Samples
08:54

Validated LC-MS/MS Panel for Quantifying 11 Drug-Resistant TB Medications in Small Hair Samples

Published on: May 19, 2020

8.3K

Development and Validation of the Pediatric Medical Complexity Algorithm (PMCA) Version 3.0.

Tamara D Simon1, Wren Haaland2, Katherine Hawley2

  • 1Department of Pediatrics, University of Washington/Seattle Children's Hospital, Seattle, Wash; Seattle Children's Research Institute, Seattle, Wash.

Academic Pediatrics
|March 3, 2018
PubMed
Summary
This summary is machine-generated.

The updated Pediatric Medical Complexity Algorithm (PMCA) version 3.0 accurately identifies children with complex chronic diseases (C-CD) using ICD-10-CM codes. This enhanced algorithm shows good sensitivity and specificity for classifying pediatric medical complexity.

Keywords:
administrative dataclaims datamedical complexitysensitivityspecificitystratificationvalidation

More Related Videos

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

541
External Cephalic Version: Is it an Effective and Safe Procedure?
08:49

External Cephalic Version: Is it an Effective and Safe Procedure?

Published on: June 6, 2020

15.9K

Related Experiment Videos

Last Updated: Feb 13, 2026

Validated LC-MS/MS Panel for Quantifying 11 Drug-Resistant TB Medications in Small Hair Samples
08:54

Validated LC-MS/MS Panel for Quantifying 11 Drug-Resistant TB Medications in Small Hair Samples

Published on: May 19, 2020

8.3K
Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:25

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

541
External Cephalic Version: Is it an Effective and Safe Procedure?
08:49

External Cephalic Version: Is it an Effective and Safe Procedure?

Published on: June 6, 2020

15.9K

Area of Science:

  • Pediatric Health Services Research
  • Medical Informatics
  • Health Outcomes

Background:

  • Classifying pediatric medical complexity is crucial for resource allocation and care management.
  • Existing algorithms require updates to incorporate newer coding systems like ICD-10-CM.
  • The Pediatric Medical Complexity Algorithm (PMCA) is a key tool for this classification.

Purpose of the Study:

  • To modify the PMCA to include International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes.
  • To assess the sensitivity and specificity of the new PMCA version 3.0 for classifying pediatric chronic disease (CD) levels.
  • To evaluate the algorithm's performance in identifying children with complex chronic disease (C-CD).

Main Methods:

  • PMCA version 2.0 was updated with ICD-10-CM codes to create version 3.0.
  • The algorithm was applied to hospital discharge data for children with emergency department, day surgery, or inpatient encounters.
  • A random sample of 300 children was reviewed to ascertain medical complexity levels and validate algorithm performance.

Main Results:

  • PMCA version 3.0 demonstrated 86% sensitivity and 86% specificity for identifying complex chronic disease (C-CD).
  • The algorithm achieved 65% sensitivity and 84% specificity for noncomplex chronic disease (NC-CD).
  • For children without chronic disease, PMCA 3.0 showed 77% sensitivity and 93% specificity.

Conclusions:

  • PMCA version 3.0 is a validated, publicly available algorithm for identifying children with C-CD.
  • The updated algorithm exhibits strong sensitivity and specificity in classifying pediatric medical complexity using hospital discharge data.
  • Performance is comparable to earlier PMCA versions, supporting its utility in clinical settings.