Using Evidence-Based Practice to Decide on an Outcome Measure

Original Editor - Wanda van Niekerk based on the course by Benita Olivier

Top Contributors - Wanda van Niekerk and Jess Bell  

Introduction[edit | edit source]

An outcome measure is a tool used to assess a patient's current status. It can provide a score, an interpretation of results and / or a risk categorisation of the patient. It can provide baseline data prior to an intervention, and the initial results may help determine and direct the course of a treatment intervention. The outcome measure can also be used during the course of treatment to assess any "change in the construct of interest over time, during and after rehabilitation."[1]

Outcome measures that are used in clinical practice include:

  • Patient-reported outcome measures (PROM)
  • Therapist-administered outcome measures
  • Clinical tests
  • Observed outcome measures

Psychometric Properties of Outcome Measures[edit | edit source]

Reliability[edit | edit source]

  • Refers to the extent to which a measurement is consistent and free from error[2]
  • Does the outcome measure produce consistent results?
  • Will the results be the same when the test is done by different clinicians or by the same clinician at different times?

Types of reliability:

  • Inter-rater reliability
    • different evaluators, usually within the same time period
    • describes the stability of the scores obtained when two different raters carry out the same test
    • "the degree to which independent observers (raters) agree in their assessment"[3]
  • Intra-rater reliability
    • same evaluator over time
    • relates to the stability of the scores obtained by a rater when they carry out the test on two separate occasions
  • Test-retest reliability
    • describes the stability of scores obtained by a patient when they are evaluated on two separate occasions
    • "the extent to which the outcome measure produces consistent results over time"[4]

You can read more on reliability, the different types of reliability, and quantitative and qualitative measures of reliability here.

  • Internal consistency
    • "the extent to which features within the outcome measure produce consistent results"[4]
  • Measurement error
    • "the difference between what is measured and its 'true' value"[4]

Validity[edit | edit source]

The degree to which the test measures what it claims to measure.[5][6]

Types of validity[7][8]:

  • Face validity
    • judging on face value, does the content of the outcome measure, adequately reflect that which it is designed to measure?[4]
    • for example, does an outcome measure about balance ask questions about this?
  • Construct validity
    • the extent to which an outcome measure really represents and explores the construct (such as quality of life) that it intends to measure[4][9]
  • Criterion validity - consists of:
    • Concurrent validity
      • "the extent to which the scores/results are consistent with those produced by a known outcome measure with good validity"[4]
    • Predictive validity
      • "the extent to which the outcome measure can accurately predict an outcome, result or relationship"[4]
  • Content validity
    • "the extent to which the content measures what it is intended to measure, has sufficient breadth / depth" and is free from bias[4]
    • "the degree in which a test includes all the necessary items to represent the concept to be measured"[9]

You can read more on validity here.

[10]

Responsiveness[edit | edit source]

Responsiveness is[11]:

  • The ability of an outcome measure to detect a true change in a patient's status over time
  • Also known as sensitivity to change
  • You can read more about responsiveness here

If you would like to read more, please see Psychometric Properties.

Applying Evidence-Based Practice when Deciding on an Outcome Measure[edit | edit source]

Step 1: Determining the patient's needs to formulate a clinical question.

  • Deciding on an outcome measure:
    • consider what you want to measure (function, perception, experience?)
    • how do you want to measure it (self-reported or therapist-administered)?
  • Examples of a clinical question: "What are the best outcome measures to determine function and well-being in a patient with ...?" OR "Is outcome measure (x) or outcome measure (y) a better outcome measure to determine function and well-being in a patient with...?"

Step 2: Locating the knowledge sources.

  • Use a modified PICOT mnemonic and focus on the POT part
    • P - patient/population
    • O - outcome - specific outcome
    • T - type - type of outcome measure (e.g. patient-reported outcome)
  • Decide on a database to use

Step 3: Appraising the quality of the outcome measure.

Step 4: Discussing the options with the patient.

  • Combine the discussion on which outcome measures to use with the discussion on the best treatment options
  • The outcome you use should align with the needs of the condition, patient context, goals, values and preferences and patient environment
  • Discuss cost implications, time taken to administer the outcome measure and frequency

Step 5: Include the outcome measure in the treatment plan (formulating the plan).

  • The chosen outcome measure should fit the goal of the intervention

Step 6: Implement the treatment plan with the outcome measure.

  • Apply the treatment plan and outcome measure

Step 7: Evaluate the effectiveness of the treatment plan, outcome measure and the evidence-based practice process.

  • Does the outcome measure do what it needs to do?
  • Is it as responsive as stated in the literature?
  • Did you find a freely available outcome measure?
  • Where can you make changes in the process?

Resources[edit | edit source]

References[edit | edit source]

  1. Alreni AS, McRobert C, McLean SM. Utilisation of outcome measures in the management of non-specific neck pain: a national survey of current physiotherapy practice in the UK. Musculoskeletal Science and Practice. 2021 Apr 1;52:102347.
  2. Portney L., Watkins M. Chapter 4: Principles of Measurement, within Foundations of Clinical Research : Applications to Practice, 3rd Edition. F.A. Davis Company, Pennsylvania, United States 2015. ISBN10 0803646577.
  3. D’lima J, Taylor SE, Mitri E, Harding A, Lai J, Manias E. Assessment of inter-rater reliability of screening tools to identify patients at risk of medication-related problems across the emergency department continuum of care. Australasian Emergency Care. 2023 Nov 14.
  4. 4.0 4.1 4.2 4.3 4.4 4.5 4.6 4.7 Allied Health Professions (AHP) Outcome Measures UK Working Group: Key questions to ask when selecting outcome measures: a checklist for allied health professionals. November 2019
  5. Haff GG, Dumke C. Laboratory manual for exercise physiology. Human Kinetics; 2022 Dec 2.
  6. Dunn WW. Validity. InDeveloping norm-referenced standardized tests 2020 Feb 13 (pp. 149-168). Routledge.
  7. Erlinawati E, Muslimah M. Test Validity and Reliability in Learning Evaluation. Bulletin of Community Engagement. 2021 Jan 6;1(1):26-31.
  8. Chetwynd E. Critical analysis of reliability and validity in literature reviews. Journal of Human Lactation. 2022 Aug;38(3):392-6.
  9. 9.0 9.1 Souza A., Alexandre N., Guirardello E.. Psychometric properties in instruments evaluation of reliability and validity. Epidemiologia e Serviços de Saúde. 2017 Jul;26:649-59.
  10. Dr J.5 Types of Construct Validity (Face, Content, Criterion, Convergent, Discriminant)- Research Methods Available from: https://www.youtube.com/watch?v=Q7jYDVGmlro [last accessed 02/01/2024]
  11. Mokkink L, Terwee C, de Vet H. Key concepts in clinical epidemiology: Responsiveness, the longitudinal aspect of validity. Journal of clinical epidemiology. 2021 Dec 1;140:159-62.