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Related Concept Videos

Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Guidelines for Writing Outcome01:11

Guidelines 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...
Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Indicators02:39

Indicators

Certain organic substances change color in dilute solution when the hydronium ion concentration reaches a particular value. For example, phenolphthalein is a colorless substance in any aqueous solution with a hydronium ion concentration greater than 5.0 × 10−9 M (pH < 8.3). In more basic solutions where the hydronium ion concentration is less than 5.0 × 10−9 M (pH > 8.3), it is red or pink. Substances such as phenolphthalein, which can be used to determine the pH of a solution, are called...
Significance Testing: Overview01:04

Significance Testing: Overview

Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
In Vitro Drug Release Testing: Overview, Development and Validation01:10

In Vitro Drug Release Testing: Overview, Development and Validation

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...

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Related Experiment Video

Updated: May 30, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Framework and indicator testing protocol for developing and piloting quality indicators for the UK quality and

Stephen M Campbell1, Evangelos Kontopantelis, Kerin Hannon

  • 1Health Sciences Research Group - Primary Care, University of Manchester, UK. Stephen.campbell@manchester.ac.uk

BMC Family Practice
|August 12, 2011
PubMed
Summary

An indicator testing protocol (ITP) rigorously evaluates quality measures before implementation. This pilot study demonstrated its value in identifying real-world issues and unintended consequences for healthcare quality indicators.

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

Published on: February 19, 2021

Related Experiment Videos

Last Updated: May 30, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

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

Area of Science:

  • Health Services Research
  • Quality Improvement
  • Healthcare Policy

Background:

  • Quality measures require rigorous testing for acceptability, feasibility, and reliability before clinical practice implementation.
  • Identifying implementation issues and unintended consequences is crucial for effective quality improvement.

Purpose of the Study:

  • To describe the methodologies and results of an indicator testing protocol (ITP).
  • To evaluate proposed quality indicators for the United Kingdom Quality and Outcomes Framework (QOF).

Main Methods:

  • A multi-step protocol including RAND/UCLA Appropriateness Method, medical record data extraction, diaries, cost-effectiveness modeling, and semi-structured interviews.
  • Testing was conducted in a sample of representative family practices in England.
  • Methods were combined to provide an overall recommendation for each indicator.

Main Results:

  • The ITP is valuable for testing potential indicators in real-world settings.
  • Twelve of thirteen tested indicators passed the protocol, but issues and unintended consequences were identified.
  • A palliative care indicator was technically feasible but unacceptable to staff and raised patient harm concerns.

Conclusions:

  • The ITP provides a useful framework for assessing potential quality indicators.
  • The protocol can be adapted for specific healthcare settings and used by policymakers and researchers.
  • This methodology supports the development of country-specific quality indicators for pay-for-performance or quality improvement schemes.