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

Solari, Alessandra; Ghezzi, Angelo; Mendozzi, Laura; Filippini, Graziella; Cifani, Stefania; Barbieri, Elena; Baldini, S.; Salmaggi, Andrea; Mantia, L. La; Farinotti, Mariangela; Caputo, Domenico; Mosconi, Paola

doi:10.1007/bf00539594

Cited by 4 publications

(15 citation statements)

References 29 publications

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“…These methods, particularly the latter are less time consuming and can reach larger numbers of participants but incur reduced response rates. Solari et al [15] obtained a 93% response rate using the former and Solari and Radice [16] a 65% response rate with the latter. It is unclear whether factors which influence whether clients respond or not have a systematic influence on agreement rates where both clients and proxies are sampled.…”

Section: Discussionmentioning

confidence: 97%

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

Tripoliti

Campbell²,

Pring

et al. 2007

Mult Scler

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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.

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Section: Discussionmentioning

confidence: 97%

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

Tripoliti

Campbell²,

Pring

et al. 2007

Mult Scler

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“…A large number of measures (nine out of 23) scored 0.25 or less, and eight measures scored 0.5 or more. These included: the ComQol-I5 21,22 where more than 50% of the respondents were cognitively impaired; the MS-QLI 23 and the SIP 14,23,24 where 20-50% of respondents were cognitively impaired; and the BICRO-39, 25 SF-36, 15,[26][27][28][29] SIP, [30][31][32][33][34][35][36] EQ-5D, 13,26,27,37 MSQOL-54 38,39 and LSS 40 validated in populations where less than 20% were cognitively impaired. Four of these measures were new (ComQol-I5, MS-QLI, BICRO-39 and MSQOL-54).…”

Section: Quality Of Included Studiesmentioning

confidence: 99%

“…The SIP, [30][31][32][33][34][35][36]15,[26][27][28][29] NHP, 34,51 EQ-5D, 13,26,27,37 MSQOL-54, 38,39 QoL-Index MS, 52,53 Life Satisfaction (Viitanen), 20,54 VAS-QoL, 55 QoL-Interview, 56,57 LSS, 40 PCRS, 25 QoL for MS 29 and Ho's QoL 59 were validated in 22 studies of populations in which less than 20% of the respondents were cognitively impaired. Most studies did not report any information on the level of cognitive impairment of the respondents.…”

Section: Studies Including Less Than 20% Of Respondents With Cognitivmentioning

confidence: 99%

“…In other studies the level of cognitive impairment was clearly stated. For instance, the MSQOL-54 was validated in 204 MS patients -the mean MMSE score was 26.9 (range, 14.6-30.3), and 9% (n = 18) had an MMSE-score of 23.8 or less; 38,39 and the QoL-Index MS was validated in 61 MS patients -41% had no cognitive disturbances and 43% had cognitive disturbances that did not intervene with their daily activities, as assessed using the Incapacity Status Scale. 52,53 The BICRO-39 was validated in 235 brain injury patients but the level of cognitive impairment was not reported.…”

Section: Studies Including Less Than 20% Of Respondents With Cognitivmentioning

confidence: 99%

“…The MS-QOL-54, 38,39 the QoL Questionnaire for MS, 29 LSS 40 and QoL Index for MS 52,53 were each validated in one study including 61 to 204 MS patients. The study included less than 20% of respondents with cognitive impairment.…”

Section: Msmentioning

confidence: 99%

See 2 more Smart Citations

General health status measures for people with cognitive impairment: learning disability and acquired brain injury

et al. 2001

Health Technol Assess

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Health Technology Assessment is indexed in Index Medicus/MEDLINE and Excerpta Medica/EMBASE. Copies of the Executive Summaries are available from the NCCHTA website (see opposite). NHS R&D HTA Programme T he NHS R&D Health Technology Assessment (HTA) Programme was set up in 1993 to ensure that high-quality research information on the costs, effectiveness and broader impact of health technologies is produced in the most efficient way for those who use, manage and provide care in the NHS. Initially, six HTA panels (pharmaceuticals, acute sector, primary and community care, diagnostics and imaging, population screening, methodology) helped to set the research priorities for the HTA Programme. However, during the past few years there have been a number of changes in and around NHS R&D, such as the establishment of the National Institute for Clinical Excellence (NICE) and the creation of three new research programmes: Service Delivery and Organisation (SDO); New and Emerging Applications of Technology (NEAT); and the Methodology Programme. Although the National Coordinating Centre for Health Technology Assessment (NCCHTA) commissions research on behalf of the Methodology Programme, it is the Methodology Group that now considers and advises the Methodology Programme Director on the best research projects to pursue. The research reported in this monograph was funded as project number 97/17/99. The views expressed in this publication are those of the authors and not necessarily those of the Methodology Programme, HTA Programme or the Department of Health. The editors wish to emphasise that funding and publication of this research by the NHS should not be taken as implicit support for any recommendations made by the authors. Criteria for inclusion in the HTA monograph series Reports are published in the HTA monograph series if (1) they have resulted from work commissioned for the HTA Programme, and (2) they are of a sufficiently high scientific quality as assessed by the referees and editors. Reviews in Health Technology Assessment are termed 'systematic' when the account of the search, appraisal and synthesis methods (to minimise biases and random errors) would, in theory, permit the replication of the review by others.

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The use of quality of life measures in multiple sclerosis research

2003

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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.

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

Cited by 4 publications

References 29 publications

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

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

General health status measures for people with cognitive impairment: learning disability and acquired brain injury

The use of quality of life measures in multiple sclerosis research

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