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  1. May 10, 2024 · All outcome measures fall into three basic categories: counting people (categorical data), taking measurements on people (continuous data), and time-to-event data. Distinguishing between them helps to define the trial objectives, methods of sample size calculation and statistical analysis, and interpreting and communicating the results.

    • Introduction
    • Classification
    • Statistical Aspects
    • Clinical Utility of An Outcome Measure
    • Resources

    An outcome measure is a tool used to assess a patient’s current status. Outcome measures may provide a score, an interpretation of results and at times a risk categorization of the patient. Prior to providing any intervention, an outcome measure provides baseline data. The initial results may help determine the course of treatment intervention. Onc...

    Outcome measures that we use in clinical practice are divided into four categories: 1. Self-report measures 2. Performance-based measures 3. Observer-reported measures 4. Clinician-reported measures

    Important features of an outcome measure that need to be taken into account when using an outcome measure are its psychometric properties. Psychometric properties are the intrinsic properties of an outcome measure. Ideally, the psychometric properties of an outcome measure used in practice should have been developed and tested through a series of r...

    Choosing appropriate outcome measures for your patients is critical to understanding their status and progress over time.

    COSMIN: International Consensus-based Standards for the Selection of Health Measurement Instruments Orthopaedic Scores: a free outcome measure calculation service for certain orthopaedic outcome measures. Rehabilitation measures database: developed to help clinicians and researchers identify reliable and valid instruments used to assess patient out...

  2. Jun 29, 2022 · Healthcare outcomes improvement can’t happen without effective outcomes measurement. Given the healthcare industry’s administrative and regulatory complexities, and the fact that health systems measure and report on hundreds of outcomes annually, this article adds much-needed clarity by reviewing the top seven outcome measures, including definitions, important nuances, and real-life examples.

  3. Nov 30, 2020 · There are different types of quality measures, and they are usually categorized into four categories: process, outcome, structural, and balancing measures.[2,3] These four categories are described as follows, with an example from a project designed to improve outcomes for patients with myocardial infarction (MI).

    • Abdul Rahman Jazieh
    • 2020/11
    • 10.36401/JQSH-20-X6
  4. Jun 1, 2015 · In this chapter, different types of outcome measures are reviewed in Section 2, and factors influencing the selection of these are discussed in Section 3. The importance of standardizing measurements between different observers is stressed in Section 4.1 , and there is a discussion of how the results of a trial may be influenced by poor sensitivity or specificity in the outcome measures in Section 4.2 .

    • Peter G. Smith, Richard H. Morrow, David A. Ross
    • 2015/06/01
    • 2015
  5. Structural measures give consumers a sense of a health care provider’s capacity, systems, and processes to provide high-quality care. For example: Whether the health care organization uses electronic medical records or medication order entry systems. The number or proportion of board-certified physicians. The ratio of providers to patients.

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  7. HRQL is a multidimensional 19 construct encompassing physical, social, and emotional well-being associated with illness and its treatment. 20 Different types of HRQL measures 21, 22 are useful for different purposes. 23 Numerous generic health status measures, such as the Medical Outcomes Study Short Form SF-36 (and related measures) and the Sickness Impact Profile are classic examples. 24 – 27 This type of PROM is useful in assessing individuals both with and without a health condition ...