Literature DB >> 27121736

Inter-rater reliability in performance status assessment among health care professionals: a systematic review.

Ronald Chow1, Nicholas Chiu1, Eduardo Bruera2, Monica Krishnan3, Leonard Chiu1, Henry Lam1, Carlo DeAngelis1, Natalie Pulenzas1, Sherlyn Vuong1, Edward Chow4.   

Abstract

BACKGROUND: Studies have reported that performance status (PS) is a good prognostic indicator in patients with advanced cancer. However, different health care professionals (HCPs) could grade PS differently. The purpose of this review is to investigate the PS scores evaluated by different HCPs as reported in the literature.
METHODS: A literature search was conducted in Ovid MEDLINE and OLDMEDLINE from 1946 to Present (July 5, 2015), Embase Classic and Embase from 1947 to 2015 Week 26, and Cochrane Central Register of Controlled Trials up to May 2015. Information of interest was whether there was a difference of PS assessment between HCPs. Other statistical information provided to assess the agreement in ratings, such as Cohen's kappa coefficient, Krippendorff's alpha coefficient, Spearman Rank Coefficient, and Kendall's correlation, was noted.
RESULTS: Of the fifteen articles, eleven compared PS assessments between HCPs of different disciplines, one between the attending and resident physician, two between similarly-specialized physicians, and one between two unspecified-specialty physicians. Three studies reported a lack of agreement (kappa =0.19-0.26; Krippendorff's alpha =0.61-0.63), four reported moderate inter-rater reliability (kappa =0.31-0.72), two reported mixed reliability, and six reported strong reliability (kappa =0.91-0.92; Spearman rank correlation =0.6-1.0; Kendall's correlation =0.75-0.82). Four studies reported that Karnofsky performance status (KPS) had better inter-rater reliability than both the Eastern Cooperative Oncology Group Performance Status (ECOG PS) and the palliative performance scale (PPS).
CONCLUSIONS: The existing literature cites both good and bad inter-rater reliability of PS scores. It is difficult to conclude which HCPs' PS assessments are more accurate.

Entities:  

Keywords:  Eastern Cooperative Oncology Group Performance Status (ECOG PS); Karnofsky performance status (KPS); Performance status (PS); inter-rater reliability; palliative performance scale (PPS)

Mesh:

Year:  2016        PMID: 27121736     DOI: 10.21037/apm.2016.03.02

Source DB:  PubMed          Journal:  Ann Palliat Med        ISSN: 2224-5820


  25 in total

1.  Comparing Physician and Nurse Eastern Cooperative Oncology Group Performance Status (ECOG-PS) Ratings as Predictors of Clinical Outcomes in Patients with Cancer.

Authors:  Elad Neeman; Gillian Gresham; Navasard Ovasapians; Andrew Hendifar; Richard Tuli; Robert Figlin; Arvind Shinde
Journal:  Oncologist       Date:  2019-06-21

2.  [A German version of the Palliative Performance Scale (PPS) as a supportive structure to assess survival in palliative patients].

Authors:  Veronika Mosich; Martin Andersag; Herbert Watzke
Journal:  Wien Med Wochenschr       Date:  2019-11-14

3.  Functional Status and Liver Disease Phenotype: Frailty, Thy Presence Is Ominous.

Authors:  Manhal Izzy; Alexandra Shingina
Journal:  Dig Dis Sci       Date:  2020-05       Impact factor: 3.199

4.  Using the Palliative Performance Scale to Estimate Survival for Patients at the End of Life: A Systematic Review of the Literature.

Authors:  Dawon Baik; David Russell; Lizeyka Jordan; Frances Dooley; Kathryn H Bowles; Ruth M Masterson Creber
Journal:  J Palliat Med       Date:  2018-08-21       Impact factor: 2.947

5.  Objective assessment of WHO/ECOG performance status.

Authors:  Miha Sok; Miha Zavrl; Boris Greif; Matevž Srpčič
Journal:  Support Care Cancer       Date:  2019-02-05       Impact factor: 3.603

6.  Association of Early Palliative Care With Survival in Patients With Advanced Lung Cancer-Reply.

Authors:  Donald R Sullivan; Christopher G Slatore
Journal:  JAMA Oncol       Date:  2020-03-01       Impact factor: 31.777

7.  Assessment of Karnofsky (KPS) and WHO (WHO-PS) performance scores in brain tumour patients: the role of clinician bias.

Authors:  D Frappaz; A Bonneville-Levard; D Ricard; S Carrie; C Schiffler; K Hoang Xuan; M Weller
Journal:  Support Care Cancer       Date:  2020-08-13       Impact factor: 3.603

8.  Identifying Autism with Head Movement Features by Implementing Machine Learning Algorithms.

Authors:  Zhong Zhao; Zhipeng Zhu; Xiaobin Zhang; Haiming Tang; Jiayi Xing; Xinyao Hu; Jianping Lu; Xingda Qu
Journal:  J Autism Dev Disord       Date:  2021-07-11

9.  Personality and Everyday Functioning in Older Adults With and Without HIV.

Authors:  Rodica Ioana Damian; Surizaday Serrano; Anastasia Matchanova; Erin E Morgan; Steven Paul Woods
Journal:  J Clin Psychol Med Settings       Date:  2021-05-25

10.  Feasibility of Fitness Tracker Usage to Assess Activity Level and Toxicities in Patients With Colorectal Cancer.

Authors:  William H Ward; Caitlin R Meeker; Elizabeth Handorf; Maureen V Hill; Margret Einarson; R Katherine Alpaugh; Thomas L Holden; Igor Astsaturov; Crystal S Denlinger; Michael J Hall; Sanjay S Reddy; Elin R Sigurdson; Efrat Dotan; Matthew Zibelman; Joshua E Meyer; Jeffrey M Farma; Namrata Vijayvergia
Journal:  JCO Clin Cancer Inform       Date:  2021-01
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