Relation of cognitive impairment and depression to quality of life in multiple sclerosis patients

Self-reported health of people with intellectual disability

Self-reported health is an important outcome in the evaluation of health care but is largely ignored in favor of proxy-based reporting for people with an intellectual disability. This study briefly reviews the role of self-report in health assessment of people with intellectual disability and the challenges and recommendations that have emerged from the considerable body of research on interviewing and self-report. Limitations in current recommendations are addressed from the perspective of the cognition of self-report. The review describes conceptual directions for the reconciliation of the two contradictory themes in the treatment of self-report: the centrality given to personal perceptions and choices and the methodological concerns over the meaningfulness and validity of the self-reporting process.

Quality of life in multiple sclerosis: should clinicians trust proxy ratings?

Purpose Measures of quality of life (QoL) are increasingly used to monitor psychological and social well being of clients with chronic illnesses. They are particularly useful in cases where an illness results in multiple disabilities. Where clients have difficulty completing the measure, others who know them may act as proxies. It is important, therefore to assess the accuracy of proxy scores. This study compared the QoL scores given by people with multiple sclerosis (PWMS) with proxy scores given by close relatives.

Method The Functional Assessment of Multiple Sclerosis (FAMS) quality of life instrument (Cella et al.) [1] was used. Forty PWMS completed the measure in face-to-face interviews with a speech and language therapist. Close relatives were asked to independently complete the measure on behalf of these clients.

Results The overall correlation between client and proxy scores was 0.62, which Sneeuw et al. [2] suggest indicates good agreement. As in previous studies with other groups of clients, proxies underestimated the scores of PWMS. Despite these findings, the results showed substantial disagreements for individual clients and their proxies and a relationship was found which suggests that proxies underestimate the scores of clients with better QoL and overestimate those with poorer QoL scores.

Conclusion The level of agreement found between client and proxy scores and the tendency for proxies to underestimate clients' scores are consistent with research with other client groups. The overestimation by proxies of clients who rate their QoL as poor needs further investigation. If confirmed it may complicate the estimation of client scores from those of proxies. We conclude that while proxy scores may be useful as a means of estimating the QoL of groups of clients in research studies they should be used cautiously in the prediction of the QoL of individual clients at the clinical level. Multiple Sclerosis 2007; 13: 1190—1194. http://msj.sagepub.com

The use of quality of life measures in multiple sclerosis research

Quality of life research contributes knowledge essential to the health and healthcare of multiple sclerosis (MS) patients. This article reviews 83 MS studies in English that have presented data on quality of life. The studies may be classified into three categories, according to the application and the main focus: 1) evaluating the development and validity of quality of life questionnaires and clinical scales (n = 27); 2) evaluating factors that might influence the quality of life or comparing the quality of life among various groups (n = 37); and 3) using quality of life questionnaires as outcome measures in medical trials and other interventions (n = 19). The studies have shown that quality of life questionnaires more broadly measure the impact of MS than do the most frequently used measures of disease activity and effects. Using quality of life measures provides additional information in evaluating the effects of treatment and in studying the development of the disease. Such information is crucial in planning interventions for MS patients. A challenge in this field is to improve the study designs, including reaching some agreement on how to measure the quality of life.