| Literature DB >> 27793211 |
Elena Nikiphorou1, Helga Radner2, Katerina Chatzidionysiou3,4, Carole Desthieux5,6, Codruta Zabalan7, Yvonne van Eijk-Hustings8,9, William G Dixon10, Kimme L Hyrich11, Johan Askling3,4, Laure Gossec5,6.
Abstract
Patient-reported outcomes (PROs) reflect the patient's perspective and are used in rheumatoid arthritis (RA) routine clinical practice. Patient global assessment (PGA) is one of the most widely used PROs in RA practice and research and is included in several composite scores such as the 28-joint Disease Activity Score (DAS28). PGA is often assessed by a single question with a 0-10 or 0-100 response. The content can vary and relates either to global health (e.g., how is your health overall) or to disease activity (e.g., how active is your arthritis). The wordings used as anchors, i.e., for the score of 0, 10, or 100 according to the scale used, and the timing (i.e., this day or this week) also vary. The different possible ways of measuring PGA translate into variations in its interpretation and reporting and may impact on measures of disease activity and consequently achievement of treat-to-target goals. Furthermore, although PGA is associated with objective measures of disease activity, it is also associated with other aspects of health, such as psychological distress or comorbidities, which leads to situations of discordance between objective RA assessments and PGA. Focusing on the role of PGA, its use and interpretation in RA, this review explores its validity and correlations with other disease measures and its overall value for research and routine clinical practice.Entities:
Keywords: Discordance; Patient global assessment; Rheumatoid arthritis
Mesh:
Year: 2016 PMID: 27793211 PMCID: PMC5086038 DOI: 10.1186/s13075-016-1151-6
Source DB: PubMed Journal: Arthritis Res Ther ISSN: 1478-6354 Impact factor: 5.156
Different concepts covered by PGA and examples of different types of wording used
| Concept | Attribution to RA | Example question | Reference period |
|---|---|---|---|
| Disease activity | Related to arthritis | “Considering all the ways your arthritis has affected you, how active do you feel your arthritis is …” | Today |
| Overall | “How do you estimate your disease activity ..?” | ||
| Global health | Related to arthritis | “Considering all the ways your arthritis has affected you, how would you say your health is …” | |
| Overall | “Considering all the ways in which illness and health conditions may affect you at this time, please make a mark below to show how you are doing” |
Major strengths and weaknesses of PGA in RA
| Strengths | Weaknesses |
|---|---|
| Practical and feasible to collect: much more easily collected than joint counts, acute phase reactants, or radiographic damage (simple, single-item tool) | Heterogeneity in concept (i.e., global health versus disease activity) and attribution to RA or other co-existing health conditions and wording/phrasing, all leading to possible heterogeneity in the responses |
| No cost, non-invasive and self-administered | Heterogeneous phrasing of the time-frame (today, last week, etc.) applied to PGA |
| May summarize all aspects of disease important to the patient (face validity) | Very broad concept leading to interpretation difficulties |
| Practical and feasible to interpret: easy to score, incorporate in composite scores, and analyze | Difficulties of interpretation due to uncertainty regarding attribution to permanent damage related to RA compared to inflammation and disease activity |
| Good test–retest reliability | Difficulties of interpretation due to uncertainty regarding attribution to RA versus non-RA disease, including psychological distress and comorbidities |
| Good sensitivity to change in clinical trials | May be influenced by patient education level |
| Discordance between PGA and physician assessment: brings in additional information | Discordance between PGA and physician assessment: what impact on decision making? |
Sensitivity of PGA to change in disease activity and comparison with other measures of disease
| Study group | Study details | Main findings |
|---|---|---|
| Kaneko et al. 2014 [ | Prospective study | PGA more sensitive for indicating progressive joint destruction and functional impairment when compared with EGA |
| Pope et al. 2009 [ | Prospective study of a large clinical practice | MID scores for HAQ-DI in clinical practice were smaller than those seen in clinical trials |
| Wells et al. 2008 [ | Randomized controlled trial comparing abatacept (n = 258) with placebo (n = 133) in anti-TNF poor respondents (ATTAIN study) | PGA had larger relative percentage improvement with treatment (24 %) than the generic quality of life outcomes SF-36 domains and component scores (range 8–21 %) |
| Lassere et al. 2001 [ | Literature review on reliability for different classes of RA measures | The SDD for the PGA (as well as for SJC, TJC, and pain) was found to be large and it had poor reliability compared to multi-item measures of physical and psychological function and radiologic measures |
| Ward 1994 [ | Prospective study | High correlation between EGA, PGA, and pain scores |
EGA estimator global assessment, ESR erythrocyte sedimentation rate, HAQ-DI Health Assessment Questionnaire-Disability Index, HRQOL Health Related Quality of Life, MID minimally important difference, PGA patient global assessment, SDD smallest detectable difference, SF-36 36-item Short Form Health Survey, SJC swollen joint count, TJC tender joint count, TNF tumor necrosis factor
Summary of PGA aspects discussed in this review
| Aspects covered | Main findings |
|---|---|
| Description and practical application | Two different concepts covered: global health versus disease activity |
| The wording/phrasing and time-reference used remain unstandardized, leading to differences in interpretation and therefore the responses obtained | |
| There exist different scales to score PGA | |
| Psychometric properties | Practical, feasible, and non-costly to use in routine clinical practice |
| High face validity but its broad concept can lead to difficulties with interpretation | |
| Good reliability and sensitive to change, making it useful in clinical practice and in research | |
| Consequences of heterogeneity | Differences in interpretation of results |
| Impact on DAS28 scoring and therefore the achievement of remission | |
| Elements explaining PGA | RA disease activity as indirectly reflected by inflammation, pain, and functional incapacity (partly due to joint damage) and fatigue explain a large component of the PGA |
| Psychological distress can result in higher PGA | |
| Conflicting evidence exists on the impact of comorbidities on PGA | |
| Non-RA factors impacting on PGA include demographic characteristics, education, culture, and geographic origin | |
| Differences in patient understanding and interpretation affect the responses | |
| Discordance between PGA and physician global assessment | More objective measures of disease, e.g., joint counts and acute phase reactants lead to a higher physician global assessment whereas pain and altered quality of life without visible signs of inflammation result in higher PGA |
| Patient–physician discordance can affect DAS28 scoring and decision-making, e.g., treatment escalation |
Discordance between PGA and estimator global assessment and associated factors
| Study group | Study description | Patient number (n) | Discordance between PGA and EGA | Factors associated with discordance |
|---|---|---|---|---|
| Desthieux et al. 2016 [ | Systematic literature review and meta-analysis | 11,879 (12 studies) | Frequency of discordance >2.7 cm (weighted mean cutoff): 44.9 % | Drivers of global assessment: |
| Davis et al. 2014 [ | Consecutive RA patients | 127 | Frequency of discordance: | PGA > EGA: pain, fatigue, HAQ disability, poor health related quality of life on the SF-36 |
| Khan et al. 2012 [ | Patients from the multi-national Quantitative Standard Monitoring of Patients with RA (QUEST-RA) database | 7028 | Mean PGA 4.0 ± 2.7 cm; EGA 2.9 ± 2.4 cm | PGA > EGA: higher age; higher scores of pain, fatigue, HAQ, and morning stiffness |
| Barton et al. 2010 [ | Multi-site observational cohort with RA adults consecutively enrolled from two outpatient clinics in the US | 223 | Mean PGA 4.3 ± 2.6 cm; EGA 3.1 ± 2.1 cm | PGA > EGA: higher HAQ score; lower SJC; greater depressive symptoms |
| Nicolau G et al. 2004 [ | Single center cohort of RA patients in Brazil | 80 | Frequency of discordance ≥1 cm: | PGA > EGA: higher pain and HAQ scores and tendency for higher number of comorbid conditions |
| Studenic et al. [ | Single center observational cohort of RA patients initiating MTX in Austria | 646 | Mean PGA 3.9 ± 2.7 cm; EGA 2.3 ± 2.1 cm | PGA > EGA: higher pain and lower SJC |
EGA estimator global assessment, ESR erythrocyte sedimentation rate, HAQ-DI Health Assessment Questionnaire-Damage Index, MID minimally important difference, PGA patient global assessment, SDD smallest detectable difference, TJC tender joint count, SF-36 36-item Short Form Health Survey
Proposals of wording/phrasing in view of homogenizing PGA
| Concept | Global health | Disease activity |
|---|---|---|
| Wording/phrasing | “Considering all the ways in which illness and health conditions may affect you at this time, please make a mark below to show how you are doing” | “Considering all the ways your arthritis has affected you, how do you feel your arthritis is today?” |
| Scoring | 0–100 VAS or 0–10 NRS | 0–100 VAS or 0–10 NRS |
| Anchors | Very well–very poorly | Inactive–very active |