COSMIN database

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

Authors:
Riemsma, R. P., Forbes, C. A., Glanville, J. M., Eastwood, A. J., and Kleijnen, J.
Abstract:
BACKGROUND: Currently there is a wide range of health status measures that aim to assess general health status in people with cognitive impairment. However, the validity and/or applicability to this patient group are largely unknown. This has implications for the assessment of treatment outcomes and rehabilitation, for prognostic purposes, for planning services, and for determining the benefits and adverse effects of health technologies targeted at these patient groups.

OBJECTIVES: (1) To identify the general health status measures that have been validated in patients with cognitive impairment. (2) To assess the extent to which these measures have been validated. (3) To draw out the implications of the findings for the use of existing measures and for future primary research in this area. METHODS.

SELECTION CRITERIA: Studies that assessed general health status in people with cognitive impairment due to acquired brain injury (traumatic brain injury, cerebro-vascular accident or multiple sclerosis (MS)) or learning disability (LD) were included in the review. Studies that used general health status instruments measuring only one general health dimension, and studies that only featured participants with cognitive impairment due to dementia were excluded. METHODS.

SEARCH STRATEGY: A wide range of relevant databases were searched for studies on cognitive impairment, general health status measures, and validation of health status measures. A handsearch of general health status bibliographies was also conducted. Data were collected on the general health status measure used, the population characteristics, aims of the study, validity details, and conclusions.

RESULTS: The review includes data from 71 studies, reported in 83 separate publications. In total 34 different general health status measures were described in the 83 publications, with the Sickness Impact Profile (SIP) and the Short Form-36 (SF-36) the most frequently used measures (20 and 19 studies, respectively). These studies included a total of 98 instrument validations, 52 of which definitely or probably included people with cognitive impairment. Six measures were extensively validated (quality scores ranged from 0.25 to 0.5, on a scale from 0 to 1) in studies in which more than 50% of the respondents were people with cognitive impairment. A further three measures were also validated in studies in which more than 50% of the respondents were people with cognitive impairment, but their level of validation was more limited (quality scores ranged from 0.1 to 0.2). Five measures were validated in studies in which 20-50% of the respondents were cognitively impaired, which may limit their relevance to participants with cognitive impairment (quality scores ranged from 0.1 to 0.6). The SF-36 was also validated in two studies in which 20-50% of the respondents were cognitively impaired and the quality score was 0.3. Finally, nine of the measures were only validated in studies in which less than 20% of the respondents were cognitively impaired. For these measures it was unclear whether the findings applied to people with cognitive impairment.

CONCLUSIONS: Very few measures have been validated specifically for cognitively impaired respondents. Studies where at least 50% of the respondents were cognitively impaired generally showed poorer validity results compared with studies with fewer cognitively impaired persons, indicating that general health status measures designed for the general population are not automatically suitable for people with cognitive impairment. The few measures that were specifically developed for people with cognitive impairment also reported poor validity results. Therefore, there are no validated instruments available for use in cognitively impaired respondents; existing measures, specifically designed for use in these populations, should be used with caution. The most promising measure is the MS-Quality of Life Interview (MS-QLI) for MS patients. The MS-QLI was thoroughly validated in 300 MS patients and the results were good, except for the 'social function' subscale. However, only 20-50% of the respondents in this study had cognitive impairment. Most information on the validity of general health status measures was found in studies among people with LD. For these patients, six measures were found that have been validated in a populations where more than 50% of the respondents were cognitively impaired LD patients.

CONCLUSIONS: (1) Existing general health status measures should be used with caution in individuals with cognitive impairments. (2) There is no evidence to indicate the most suitable general health status measure for use in economic evaluations of cognitive impairment. (3) There is little evidence to support the validity of proxy assessments in cognitively impaired populations. (ABSTRACT TRUNCATED)
URL:
https://www.ncbi.nlm.nih.gov/pubmed/11319989
Journal:
Health Technol Assess
issn:
1366-5278 (Print)
Publication year:
2001
pages:
1-100
Overall quality of life:
Overall quality of life
Age:
Adults (18-65)
Children (0-18)
Seniors (65+)
Disease:
Codes for special purposes
Diseases of and symptoms related to the nervous system
Injury, poisoning and certain other consequences of external causes
Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified
PRO / non-PRO:
Non-patient Reported Outcome
Patient Reported Outcome
Type of measurement instrument:
1 - Questionnaires
2 - Interviews
6 - Clinical rating scales
Instrument:
BICRO-39 - Brain Injury Community Rehabilitation Outcome Scales (39-items)
COMQoL-Comprehensive Quality of Life Scale /Questionnaire
COOP/WONCA charts - COOP/WONCA Functional Healh assessment charts   [see: ZUYD (NL)]
CQOL - Child Quality of Life Questionnaire
DIP - Disability and Impact Profile
EQ-5D - EuroQoL-5 Dimensions   [see: ZUYD (NL)]
FAMS - Functional Assessment of Multiple Sclerosis
Farmer QoL Index - Farmer Quality of Life Index
Ho’s QOL scale - Ho’s Quality of Life scale
HUI - Health Utilities Index
Life Satisfaction
LLQ - Laman & Lankhorst Questionnaire
LSIA - Life Satisfaction Index A
LSS - Life Situation Survey
MSQoL-54 - Multiple Sclerosis Quality of Life-54 Instrument
NHP - Nottingham Health Profile   [see: ZUYD (NL)]
OQLQ - Oregon Quality of Life Questionnaire
PCRS - Patient Competency Rating Scale   [see: ZUYD (NL)]
QLQ - Quality of Life Questionnaire
QOLI - Lehman Quality of Life Interview/Index
QoL Index for MS - Quality of Life Index for Multiple Sclerosis
Q-TWiST - Quality-Adjusted Time Without Symptoms and Toxicities
QUAL-OT - Quality of Life – Occupational Therapist
QUOLIS - Quality of Life Interview Schedule
QWB - Quality of Well-Being Scale
SF-36 - 36-item Short Form Health Survey [alias: RAND-36][alias: Medical Outcomes Study (MOS) SF-36]]   [see: proqolid, ZUYD (NL), also see: https://database.cosmin.nl/?utf8=%E2%9C%93&search_field=all_fields&q=SF-36+-+36-item+Short+Form+Health+Survey++%5Balias%3A+RAND-36%5D%5Balias%3A+Medical+Outcomes+Study+%28MOS%29+SF-36%5D%5D]
SIP - Sickness Impact Profile   [see: ZUYD (NL)]
SSQ - Soweto Stroke Questionnaire
SWB - Subjective Well-Being scale
Utility Assessment
VAS - Visual Analogue Scale   [see: ZUYD (NL)]