Jadad scale

The Jadad scale, sometimes known as Jadad scoring or the Oxford quality scoring system, is a procedure to assess the methodological quality of a clinical trial by objective criteria. It is named after Canadian-Colombian physician Alex Jadad who in 1996 described a system for allocating such trials a score of between zero (very poor) and five (rigorous). It is the most widely used such assessment in the world, and as of 2022, its seminal paper has been cited in over 23,000 scientific works.

Description

The Jadad scale independently assesses the methodological quality of a clinical trial judging the effectiveness of blinding. Alejandro "Alex" Jadad Bechara, a Colombian physician who worked as a Research Fellow at the Oxford Pain Relief Unit, Nuffield Department of Anaesthetics, at the University of Oxford described the allocating trials a score of between zero (very poor) and five (rigorous) in an appendix to a 1996 paper.[1] In a 2007 book Jadad described the randomised controlled trial as "one of the simplest, most powerful and revolutionary forms of research".[2]

Background
Main article: Randomised controlled trial

Clinical trials are conducted for the purpose of collecting data on the efficacy of medical treatments.[3] The treatment might be, for example, a new drug, a medical device, a surgical procedure, or a preventative regime.[3] Clinical trial protocols vary considerably depending on the nature of the treatment under investigation,[4] but typically in a controlled trial researchers gather a group of volunteers and subject some to the test treatment, while giving the others either no treatment (known as a placebo), or an established treatment for comparison. After a defined time period, the patients in the test group are assessed for health improvements in comparison with the control group.

However, trials can vary greatly in quality. Methodological errors such as poor blinding or poor randomisation allow factors such as the placebo effect or selection bias to adversely affect the results of a trial.[5]

Randomisation

Randomisation is a process to remove potential distortion of statistical results arising from the manner in which the trial is conducted, in particular in the selection of subjects. Studies have indicated, for example, that nonrandomised trials are more likely to show a positive result for a new treatment than for an established conventional one.[5]

Blinding
Main article: Blind experiment

The importance of scientific controls to limit factors under test is well established. However, it is also important that none of those involved in a clinical trial, whether the researcher, the subject patient or any other involved parties, should allow their own prior expectations to affect reporting of results.[6] The placebo effect is known to be a confounding factor in trials; affecting the ability of both patients and doctors to report accurately on the clinical outcome. Experimental blinding is a process to prevent bias, both conscious and subconscious, skewing results.[6]

Blinding frequently takes the form of a placebo, an inactive dummy that is indistinguishable from the real treatment. Blinding can however be difficult to achieve in some trials,[6] for example, surgery or physical therapy. Poor blinding can exaggerate the perceived effects of treatment, particularly if any such effects are small.[7] Blinding should be appropriate to the study, and is ideally double blind, wherein neither the patient nor doctor is aware of whether they are in the control or test group, eliminating any such psychological effects from the study.

Withdrawals and dropouts

Withdrawals and dropouts are those patients who fail to complete a course of treatment, or fail to report back on its outcome to the researchers. The reasons for doing so might be varied: the individuals may have moved away, abandoned the course of treatment, or died. Whatever the reason, the attrition rate can skew results of a study, particularly for those subjects who ceased treatment due to perceived inefficacy. In smoking cessation studies, for example, it is routine to consider all dropouts as failures.[8]

Jadad questionnaire

A three-point questionnaire forms the basis for a Jadad score.[1] Each question was to be answered with either a yes or a no. Each yes would score a single point, each no zero points; there were to be no fractional points. The Jadad team stated that they expected it should take no longer than ten minutes to score any individual paper. The questions were as follows: Was the study described as randomized?, Was the study described as double blind? and Was there a description of withdrawals and dropouts?[1]

To receive the corresponding point, an article should describe the number of withdrawals and dropouts, in each of the study groups, and the underlying reasons. Additional points were given if: The method of randomisation was described in the paper, and that method was appropriate. or The method of blinding was described, and it was appropriate.[1]

Points would be deducted if: The method of randomisation was described, but was inappropriate, or The method of blinding was described, but was inappropriate.[1]

A clinical trial could therefore receive a Jadad score of between zero and five. The Jadad scale is sometimes described as a five-point scale, though there are only three questions.

Uses

The Jadad score may be used in a number of ways:

  1. To evaluate the general quality of medical research in a particular field.[9][10][11]
  2. To set a minimum standard for the paper's results to be included in a meta analysis. A researcher conducting a systematic review for example might elect to exclude all papers on the topic with a Jadad score of 3 or less.[12]
  3. For critical analysis of an individual paper.

As of 2008, the Jadad score was the most widely used such assessment in the world,[13][14] and its seminal paper has been cited in over 3000 scientific works.

Criticism

Critics have charged that the Jadad scale is flawed, being over-simplistic and placing too much emphasis on blinding,[15][16] and can show low consistency between different raters.[17] Furthermore, it does not take into account allocation concealment, viewed by The Cochrane Collaboration as paramount to avoid bias.[18]

See also

References
  1. Jadad, A.R.; Moore R.A.; Carroll D.; Jenkinson C.; Reynolds D.J.M.; Gavaghan D.J.; McQuay H.J. (1996). "Assessing the quality of reports of randomized clinical trials: Is blinding necessary?". Controlled Clinical Trials. 17 (1): 1–12. doi:10.1016/0197-2456(95)00134-4. PMID 8721797.
  2. Jadad, Alejandro R.; Enkin, Murray (2007). Randomized Controlled Trials: Questions, Answers and Musings (2nd ed.). Blackwell. ISBN 978-1-4051-3266-4.
  3. Chow, Shein-Chung; Liu, Jen-pei (2004). Design and Analysis of Clinical Trials. Wiley. p. 2. ISBN 978-0-471-24985-6.
  4. Brian, Everitt; Pickles, Andrew (2004). Statistical Aspects of the Design and Analysis of Clinical Trials. Imperial College Press. p. 5. ISBN 978-1-86094-441-3.
  5. Colditz, G.A.; Miller J.N.; Mosteller F. (1989). "How study design affects outcomes in comparisons of therapy". Statistics in Medicine. 8 (4): 441–454. doi:10.1002/sim.4780080408. PMID 2727468.
  6. Day, Simon J; Altman, Douglas G (2000). "Blinding in clinical trials and other studies". British Medical Journal. 321 (7259): 504. doi:10.1136/bmj.321.7259.504. PMC 1118396. PMID 10948038.
  7. Altman, DG; Schulz, KF; Moher, D; Egger, M; Davidoff, F; Elbourne, D; Gøtzsche, PC; Lang, T; CONSORT GROUP (Consolidated Standards of Reporting Trials) (2001-04-17). "The revised CONSORT statement for reporting randomized trials: explanation and elaboration". Annals of Internal Medicine. 134 (8): 663–694. doi:10.7326/0003-4819-134-8-200104170-00012. PMID 11304107. S2CID 12834600.
  8. Lancaster T, Stead L (1999). Dealing with drop-outs in clinical trials and meta-analyses. 7th Best Evidence Health Care Cochrane Colloquium. Universita San Tommaso d'Aquino. p. 43.
  9. White, Adrian; Ernst, Edzard (1999). Acupuncture: A Scientific Appraisal. Elsevier. p. 109. ISBN 978-0-7506-4163-0.
  10. Wang, Gang; et al. (2007). "The quality of reporting of randomized controlled trials of traditional Chinese medicine". Clinical Therapeutics. 29 (7): 1456–1467. doi:10.1016/j.clinthera.2007.07.023. PMID 17825697.
  11. Welk, B.; Afshar, K.; MacNeily, A.E. (2006). "Randomized controlled trials in pediatric urology: room for improvement". J Urol. 176 (1): 306–310. doi:10.1016/S0022-5347(06)00560-X. PMID 16753430.
  12. Simon, Stephen D. (2006). Statistical Evidence in Medical Trials: What Do the Data Really Tell Us?. Oxford University Press. p. 122. ISBN 978-0-19-856761-5.
  13. Hayes, R.B.; Sackett, D.L.; Guyatt, G.H.; Tugwell, P. (2005). Clinical Epidemiology. Lippincott Williams & Wilkins. p. 31. ISBN 978-0-7817-4524-6.
  14. Olivo, SA; Macedo LG; Gadotti IC; Fuentes J; Stanton T; Magee DJ (2008). "Scales to Assess the Quality of Randomized Controlled Trials : A Systematic Review". Physical Therapy. 88 (2): 156–75. doi:10.2522/ptj.20070147. ISSN 0031-9023. PMID 18073267.
  15. Berger, V. W. (2006). "Is the Jadad Score the Proper Evaluation of Trials?". J. Rheumatol. 33 (8): 1710–1712. ISSN 0315-162X. PMID 16881132. Archived from the original on 2008-02-20.
  16. "Systematic Review of Quality Assessment Instruments for Randomized Control Trials". The Cochrane Collaboration. Retrieved 2008-11-12.
  17. Clark, H.D.; et al. (Oct 1999). "Assessing the quality of randomized trials: reliability of the Jadad scale". Controlled Clinical Trials. 20 (5): 448–52. doi:10.1016/S0197-2456(99)00026-4. PMID 10503804.
  18. Higgins JPT, Altman DG, Sterne JAC (editors). Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from www.cochrane-handbook.org.
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