Related Experiment Video
Updated: May 16, 2026
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
"More bang for the buck": exploring optimal approaches for guideline implementation through interviews with
1University Health Network, 200 Elizabeth Street, Toronto, Ontario, Canada. anna.gagliardi@uhnresearch.ca
BMC Health Services Research
|November 17, 2012
Summary
Guideline developers prefer embedding implementation guidance within documents for broader impact. This approach is seen as most feasible given varied resources and mandates for guideline implementation.
Area of Science:
- Health Services Research
- Medical Informatics
- Healthcare Management
Background:
- Population-based studies indicate underutilization of clinical guidelines.
- International surveys reveal challenges in guideline implementation by developers.
- This research explores guideline developer perspectives on implementation strategies.
Purpose of the Study:
- To investigate guideline developers' views on various implementation approaches.
- To understand the resource implications associated with different implementation strategies.
- To identify preferred methods for enhancing guideline uptake.
Main Methods:
- Semi-structured telephone interviews with 30 guideline developers from 7 countries.
- Participants represented government and professional organizations.
- Interviews focused on three implementation responsibility models: developers, intermediaries, and users.
Main Results:
- Organizations showed inconsistent funding, staffing, and dissemination strategies for implementation.
- Most developers favored including implementation support directly within guidelines.
- This approach was deemed most feasible and likely to have broad impact.
Conclusions:
- Implementation strategies do not require standardization across all organizations.
- Findings can inform policy makers, managers, and developers in optimizing implementation capacity.
- Further research is needed to refine optimization of implementation capacity among all stakeholders.
Related Concept Videos
01:28Dosage Regimens: Designs and Approaches
Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
01:26Methods 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...
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...
01:28Methods of Medium Optimization
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
01:20Study Designs in Epidemiology
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
01:11Guidelines for Writing Outcome
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
01:15Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...