Literature DB >> 29212762

It is merely subjective opinion that patient-reported outcome measures are not objective tools.

D F Hamilton1, J M Giesinger2, K Giesinger3.   

Abstract

Entities:  

Year:  2017        PMID: 29212762      PMCID: PMC5935812          DOI: 10.1302/2046-3758.612.BJR-2017-0347

Source DB:  PubMed          Journal:  Bone Joint Res        ISSN: 2046-3758            Impact factor:   5.853


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The last decade has seen a paradigm shift in the measurement of clinical outcomes, with an increasing focus placed on the patients’ perspective to compliment and augment the clinicians’ report, imaging and laboratory results. Patient-Reported Outcome Measures (PROMs) can be simply described as the patients’ report of the status of their health. This can range from an informal comment as to their symptoms to the completion of a validated questionnaire, which through an algorithm, allows an objective quantification of the response. The distinction between ‘an informal comment’ and ‘validated questionnaire’ is critically important. A number of well-validated self-reported questionnaires are available to assess a patient’s general and joint-specific health status. These validated PROMs are central to orthopaedic research, clinical practice, quality control and bench marking.[1-9] Validated PROMs, as with other routinely applied clinical tests, are designed to provide robust and meaningful measurements. For outcome questionnaires, this is determined by the three main psychometric properties: objectivity, reliability and validity.[10-12] Objectivity implies that the result of a measurement should not be influenced by the person taking that measurement. For questionnaires objectivity is usually high, as these are completed independently by the patient him/herself. Reliability is generally evaluated by demonstrating test-retest reproducibility. Validity (content, construct and criterion), tests the degree to which a PROM actually measures what it proposes to measure. When considering longitudinal measurements, the responsiveness of a PROM is also important, i.e. the ability to detect changes over time.[13] These generic properties are applicable, and central, to any measurement tool that doctors base their clinical decisions on.[14] Many clinicians though are less trusting of ‘subjective PROMs’ than they are of ‘objective measurements’ such as angles determined on a plain radiograph, a fracture classification, or a physical performance test.[15-22] They prefer what they perceive to be a ‘hard’ or ‘real’ measurement over some ‘psychologically overlaid opinion of a patient who may be grumpy after a bad night’. This belief though is not in line with the evidence. Hahn et al[23] have analysed the degree of error in commonly performed clinicians’ measurements and compared it with the degree of error inherent to various validated PROMs. Interestingly, the PROMs compare favourably to the measures that clinicians trust in. For example, the test-retest correlations for heart rate (r = 0.68) or diastolic blood pressure (r = 0.63) are modest, whereas the physical functioning scale of the SF-36 shows very high agreement (r = 0.93). The literature as a whole reports a range of measurement characteristics for both well-established clinical tools and PROMs, examples of more and less robust measures can be found for each. The ‘distrust’ of PROMs may be explained by the relative newness of these metrics. As with all evaluations, one must ensure suitable tool selection, application and interpretation. For constructs such as pain or satisfaction, the patient’s perception is the only source of information and therefore PROMs should be considered the gold-standard evaluation. The picture is more complicated for constructs such as physical function, where this can be assessed through both PROMs and direct observation. Correlating the time taken to complete a specific test of physical function (e.g. the timed-get-up-and-go) with the results of a physical function questionnaire may not find particularly robust agreement. This should not be surprising as the questionnaire does not try to measure the time taken to complete a task, but instead asks about the patients’ perception of the difficulty of completing the task. As such we would expect to see a similar direction of change in the respective scores when measuring the effect of an intervention, but to expect the same result misunderstands that PROMs capture a different aspect of outcome than a performance test does.[24] Similarly, it is quite reasonable for a patient to be satisfied with the outcome of surgery but report a low score on a validated PROM.[25,26] This does not suggest that the PROM is ‘wrong’, but that the construct (theme of questions) evaluated by that PROM is not particularly associated with the criteria that determines the patient’s report of satisfaction. Hopefully time and familiarity will enhance the selection, application and interpretation of PROMs. The validated patient outcome questionnaire is not a ‘subjective’ opinion but an ‘objective’ evaluation that quantifies the patient’s pain, function or severity of disease as perceived by the patient. Assuming the PROM has been well constructed, it provides a robust measurement and therefore should be recognised as an objective tool.
  26 in total

1.  Quality criteria were proposed for measurement properties of health status questionnaires.

Authors:  Caroline B Terwee; Sandra D M Bot; Michael R de Boer; Daniëlle A W M van der Windt; Dirk L Knol; Joost Dekker; Lex M Bouter; Henrica C W de Vet
Journal:  J Clin Epidemiol       Date:  2006-08-24       Impact factor: 6.437

Review 2.  The assessment of outcome after total knee arthroplasty: are we there yet?

Authors:  F S Hossain; S Konan; S Patel; E C Rodriguez-Merchan; F S Haddad
Journal:  Bone Joint J       Date:  2015-01       Impact factor: 5.082

3.  Correlation of subjective and objective measures before and after shoulder arthroplasty.

Authors:  Kevin Harreld; Rachel Clark; Katheryne Downes; Nazeem Virani; Mark Frankle
Journal:  Orthopedics       Date:  2013-06       Impact factor: 1.390

4.  The monitoring of activity at home after total hip arthroplasty.

Authors:  P A Toogood; M P Abdel; J A Spear; S M Cook; D J Cook; M J Taunton
Journal:  Bone Joint J       Date:  2016-11       Impact factor: 5.082

5.  Is patient reporting of physical function accurate following total knee replacement?

Authors:  D F Hamilton; P Gaston; A H R W Simpson
Journal:  J Bone Joint Surg Br       Date:  2012-11

6.  Validation of the use of radiographic fracture-healing scores in a small animal model.

Authors:  Tulyapruek Tawonsawatruk; David F Hamilton; A Hamish R W Simpson
Journal:  J Orthop Res       Date:  2014-06-04       Impact factor: 3.494

7.  Making the Oxford Hip and Knee Scores meaningful at the patient level through normative scoring and registry data.

Authors:  D F Hamilton; J M Giesinger; J T Patton; D J MacDonald; A H R W Simpson; C R Howie; K Giesinger
Journal:  Bone Joint Res       Date:  2015-08       Impact factor: 5.853

8.  Interpreting regression models in clinical outcome studies.

Authors:  D F Hamilton; M Ghert; A H R W Simpson
Journal:  Bone Joint Res       Date:  2015-09       Impact factor: 5.853

9.  Responsiveness and ceiling effects of the Forgotten Joint Score-12 following total hip arthroplasty.

Authors:  D F Hamilton; J M Giesinger; D J MacDonald; A H R W Simpson; C R Howie; K Giesinger
Journal:  Bone Joint Res       Date:  2016-03       Impact factor: 5.853

10.  Patients' decision making in total knee arthroplasty: a systematic review of qualitative research.

Authors:  T Barlow; D Griffin; D Barlow; A Realpe
Journal:  Bone Joint Res       Date:  2015-10       Impact factor: 5.853

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Authors:  Samer Mheissen; Haris Khan; Shadi Samawi
Journal:  PLoS One       Date:  2020-04-22       Impact factor: 3.240

Review 2.  How New Technology Is Improving Physical Therapy.

Authors:  Johnny G Owens; Michelle R Rauzi; Andrew Kittelson; Jeremy Graber; Michael J Bade; Julia Johnson; Dustin Nabhan
Journal:  Curr Rev Musculoskelet Med       Date:  2020-04

3.  How to identify the most suitable questionnaires and rating scales for your clinical practice or research?

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Journal:  Int J Clin Pract       Date:  2021-10-03       Impact factor: 3.149

4.  Validation of the Spanish version of the Goodman score in total hip arthroplasty.

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Journal:  J Orthop Surg Res       Date:  2021-08-20       Impact factor: 2.359

5.  Cross-Sectional Examination of Musculoskeletal Pain and Physical Function in a Racially and Socioeconomically Diverse Sample of Adults.

Authors:  Angie L Sardina; Alyssa A Gamaldo; Ross Andel; Shanthi Johnson; Tamara A Baker; Roland J Thorpe; Cathy McEvoy; Michele K Evans; Alan B Zonderman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-01-18       Impact factor: 6.053

6.  Patient-reported outcome measures used in patients undergoing total knee arthroplasty.

Authors:  Yiou Wang; Meihua Yin; Shibai Zhu; Xi Chen; Hongru Zhou; Wenwei Qian
Journal:  Bone Joint Res       Date:  2021-03       Impact factor: 5.853

Review 7.  Technological developments enable measuring and using patient-reported outcomes data in orthopaedic clinical practice.

Authors:  David F Hamilton; Johannes M Giesinger; Karlmeinrad Giesinger
Journal:  World J Orthop       Date:  2020-12-18

8.  Use of patient-reported outcome measures (PROMs) by orthopedic surgeons in Saudi Arabia.

Authors:  Fayez Alshehri; Abdulaziz Alarabi; Mohammed Alharthi; Thamer Alanazi; Ahmed Alohali; Mohammad Alsaleem
Journal:  J Orthop Surg Res       Date:  2020-12-10       Impact factor: 2.359

9.  Associations between Patient-Reported and Clinician-Reported Outcome Measures in Patients after Traumatic Injuries of the Lower Limb.

Authors:  Walter Bily; Jakob Jauker; Helena Nics; Vincent Grote; Michael Pirchl; Michael J Fischer
Journal:  Int J Environ Res Public Health       Date:  2022-03-07       Impact factor: 3.390

10.  Comparison of patient- and clinician-reported outcome measures in lower back rehabilitation: introducing a new integrated performance measure (t2D).

Authors:  Andrej Zdravkovic; Vincent Grote; Michael Pirchl; Martin Stockinger; Richard Crevenna; Michael J Fischer
Journal:  Qual Life Res       Date:  2021-06-15       Impact factor: 4.147

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