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

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results from...
Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
Pharmacodynamic Models: Linear Concentration–Effect Model01:15

Pharmacodynamic Models: Linear Concentration–Effect Model

The linear concentration–effect model, underpinned by the principle that pharmacological effect (E) is directly proportional to plasma drug concentration (C), emerges as a pivotal simplification of the Emax model for conditions where C is significantly less than EC50. This model portrays a linear trajectory of the concentration–effect relationship when drug levels are markedly below the EC50 threshold.Despite its inherent assumption of continuous effect augmentation with increasing drug...

You might also read

Related Articles

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

Sort by
Same author

Evaluating general parent-adolescent relations as a context for daily relationship processes and adolescent mood.

Journal of research on adolescence : the official journal of the Society for Research on Adolescence·2026
Same author

Trajectories and correlates of Latino/a children's sibling relationships.

Developmental psychology·2026
Same author

Helping families thrive while developing a strong working alliance: The benefits of Recipe 4 Success.

Infant mental health journal·2026
Same author

Recruitment Strategies for Intervention Research: Lessons Learned from the Autism Parent Navigators Study.

Social work research·2026
Same author

The Role of Program Implementation Quality in Family-Focused Substance-Use Prevention for Youth with Multiple Risks: PROSPER Project.

Prevention science : the official journal of the Society for Prevention Research·2026
Same author

Translating Science into Practice Using University-State Government Partnerships: The EPIS Model.

Prevention science : the official journal of the Society for Prevention Research·2026

Related Experiment Video

Updated: May 25, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Resource consumption of a diffusion model for prevention programs: the PROSPER delivery system.

Daniel M Crowley1, Damon E Jones, Mark T Greenberg

  • 1Department of Human Development and Family Studies, Pennsylvania State University, University Park, PA, USA.

The Journal of Adolescent Health : Official Publication of the Society for Adolescent Medicine
|February 14, 2012
PubMed
Summary

Estimating resource consumption for adolescent prevention programs like PROSPER is crucial. This study details the 5-year costs of the PROSPER delivery system, revealing how implementation impacts communities and university systems.

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

Related Experiment Videos

Last Updated: May 25, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
19:57

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings

Published on: March 30, 2014

Area of Science:

  • Public Health
  • Health Services Research
  • Program Evaluation

Background:

  • Implementing evidence-based prevention programs requires understanding resource demands.
  • Specialized delivery systems can incur additional infrastructure cultivation costs.
  • Limited research exists on the resource consumption of prevention delivery systems.

Purpose of the Study:

  • To estimate the resource consumption of the PROSPER (PROmoting School-Community-University Partnerships to Enhance Resilience) delivery system over 5 years.
  • To analyze the financial and economic costs of PROSPER implementation.
  • To assess the impact of these costs on local communities and university systems.

Main Methods:

  • Utilized a six-step cost analysis framework based on the Cost-Procedure-Process-Outcome Analysis model.
  • Defined the delivery system and bounded cost parameters.
  • Identified, quantified, and valued systemic resource consumption, including sensitivity analysis.

Main Results:

  • Estimated both financial and economic costs associated with the PROSPER delivery system.
  • Demonstrated cost variations over time based on activity priorities (e.g., team development, training, implementation).
  • Provided preliminary evidence of systemic efficiencies and the cultivation of a complex resource infrastructure.

Conclusions:

  • Emphasizes the necessity of studying diffusion costs over time for successful program implementation.
  • Broadens the definition of essential components for effective prevention system implementation.
  • Highlights cost analyses as innovative methodologies for assessing prevention system resource needs.