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Related Concept Videos

Quality Assurance01:19

Quality Assurance

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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...
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Quality Control01:05

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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.
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Clinically Relevant Drug Product Specifications: Methods of Establishment01:29

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Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
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Data Validation01:15

Data Validation

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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.
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Development of Analytical Methods01:21

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An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
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Quality Measurement: Technical Specifications and Key Development Considerations.

Anne Deutsch1, Laura Smith2

  • 1Center for Rehabilitation Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL; Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL; Center for Healthcare Quality and Outcomes, Health Practice, RTI International, Chicago, IL.

Archives of Physical Medicine and Rehabilitation
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Summary
This summary is machine-generated.

This communication details quality outcomes measures for healthcare services, focusing on five core elements for measure design and risk adjustment strategies. It guides selecting risk factors and outlines endorsement standards for quality measurement.

Keywords:
Health policyHome and community-based servicesOutcomes and process assessment (health care)Patient safetyQuality of health careRehabilitation centers

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Area of Science:

  • Healthcare Quality Improvement
  • Health Services Research
  • Measurement Science

Background:

  • Payers like Centers for Medicare & Medicaid Services use quality programs to enhance healthcare and community-based services.
  • Quality measures are crucial for these programs, informing feedback reports, public reporting, and pay-for-performance initiatives.

Purpose of the Study:

  • To describe quality outcomes measure design using the five core elements from SPIRIT-Outcomes and CONSORT-Outcomes guidelines.
  • To explain risk adjustment methods for quality measures and considerations for selecting risk factors.
  • To outline quality measure endorsement standards and future directions.

Main Methods:

  • Utilized the five core elements of a fully-specified outcome for measure design: domain, measurement items, metric, aggregation method, and follow-up timepoint.
  • Explained risk adjustment for accounting for case-mix differences among providers.
  • Described the selection process for quality measure risk factors.

Main Results:

  • Defined five core elements for designing robust quality outcomes measures.
  • Provided a framework for understanding and applying risk adjustment in quality measurement.
  • Discussed considerations for selecting appropriate risk factors for regression models or stratification.

Conclusions:

  • Standardized design elements and risk adjustment are essential for effective quality outcomes measurement in healthcare.
  • Clear guidelines and endorsement standards are needed to advance the science of quality measurement.