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Biomedical subjects

Paul Kind

Publications and source records attributed to Paul Kind.

15 recordsLinked to original sources
PubMed2006

The development of a new measure of quality of life for children with congenital cardiac disease.

The purpose of the study was to develop a questionnaire measuring health-related R1 quality of life for children and adolescents with congenital heart disease, the ConQol, that would have both clinical and research applications. We describe here the process of construction of a questionnaire, the piloting and the development of a weighted scoring system, and data on the psychometric performance of the measure in a sample of 640 children and young people recruited via 6 regional centres for paediatric cardiology from across the United Kingdom. The ConQol has two versions, one designed for children aged from 8 to 11 years, and the other for young people aged from 12 to 16 years. Initial findings suggest that it is a valid and reliable instrument, is acceptable to respondents, and is simple to administer in both a research and clinical context.

Adolescent↗
PubMed2006

Does long-term GH replacement therapy in hypopituitary adults with GH deficiency normalise quality of life?

OBJECTIVE: To determine whether impaired quality of life (QoL) in adults with GH deficiency (GHD) is reversible with long-term GH therapy and whether the responses in QoL dimensions differ from each other. METHODS: QoL was measured by the Quality of Life-Assessment for Growth Hormone Deficiency in Adults (QoL-AGHDA) in general population samples in England & Wales, The Netherlands, Spain and Sweden (n = 892, 1038, 868 and 1682 respectively) and compared with corresponding patients' data from KIMS (Pfizer International Metabolic Database) (n = 758, 247, 197 and 484 respectively) for 4-6 years a follow-up. The subsets of patients from England and Wales, and Sweden with longitudinal data for 5 years' follow-up were also analysed. The change of the total QoL-AGHDA scores and responses within dimensions were evaluated. Subanalyses were performed to identify any specificity in response pattern for gender, age, disease-onset and aetiology. RESULTS: Irrespective of the degree of impairment, overall QoL improved dramatically in the first 12 months, with steady progress thereafter towards the country-specific population mean. Problems with memory and tiredness were the most serious burden for untreated patients, followed by tenseness, self-confidence and problems with socialising. With treatment, these improved in the reverse order, normalising for the latter three. CONCLUSIONS: Long-term GH replacement results in sustained improvements towards the normative country-specific values in overall QoL and in most impaired dimensions. The lasting improvement and almost identical pattern of response in each patient subgroup and independent of the level of QoL impairment support the hypothesis that GHD may cause these patients' psychological problems.

Adult↗
PubMed2005

Quality of life assessment of growth hormone deficiency in adults (QoL-AGHDA): comparison of normative reference data for the general population of England and Wales with results for adult hypopituitary patients with growth hormone deficiency.

BACKGROUND/AIM: Age- and gender-specific reference values for the quality of life (QoL) measures used in assessing the impact of growth hormone deficiency (GHD) are important. The objective of this study was to develop such data for the QoL-AGHDA instrument for the population of England and Wales and to demonstrate the QoL deficit in patients with GHD. METHODS: For the purpose of this study, a questionnaire was developed that contained the EurQoL EQ-5D, QoL-AGHDA, questions recording an individual's general situation and social functioning, and a self-reported five-point rating scale of general health. The questionnaire was mailed out to a sample of 1,190 individuals drawn from the general population of England and Wales. Corresponding data for 836 patients were retrieved from KIMS (Pfizer International Metabolic Database). The postal survey data were weighted to ensure that they were representative of the general population. RESULTS: The mean weighted QoL-AGHDA scores for the general population were 6.2 and 7.1 for men and women, respectively, compared with 13.6 and 15.7 for patients. For both males and females the differences in mean QoL-AGHDA scores between the general population and patients were statistically significant for all age categories (p < 0.01). In the general population the mean QoL-AGHDA score for each category of self-assessed health status increased progressively, indicating a poorer QoL as health status declined. CONCLUSIONS: This study reports QoL-AGHDA normative values for the population of England and Wales and confirms the extent of QoL impairment in patients with GHD in comparison with the general population.

Adult↗
PubMed2005

Measuring health status: information for primary care decision making.

Primary Care Trusts (PCTs), charged with improving the health of their population, need to measure the extent to which patients actually benefit from the health care that is provided for them. One way of achieving this is to measure health status of patients over time. The study described here reports on the feasibility of administering the EQ-5D in general practitioner (GP) surgeries and identifies how the results might be used by practices and PCTs to improve the health of their populations. The study took place in an opportunistic sample of 1942 patients attending GP surgeries. One year later, patients who had provided contact details were sent another EQ-5D together with a request for additional information about their use of health care services in the intervening time period. A total of 770 patients completed this follow-up questionnaire. There were significant age effects associated with variation in self-reported health status and also associated with top-level Read diagnostic codes in some groups of patients. The results showed that EQ-5D could be used by individual GP practices to identify patients with specific health problems. This knowledge can also be used by PCTs and other primary care organisations, to better target scarce health resources.

Activities of Daily Living↗
PubMed2005

Valuations of EQ-5D health states: are the United States and United Kingdom different?

PURPOSE: We sought to compare directly elicited valuations for EQ-5D health states between the US and UK general adult populations. METHODS: We analyzed data from 2 EQ-5D valuation studies where, using similar time trade-off protocols, values for 42 common health states were elicited from representative samples of the US and UK general adult populations. First, US and UK population mean valuations were estimated and compared for each health state. Second, random-effect models were used to compare the US and UK valuations while adjusting for known predictors of EQ-5D valuations (ie, age, sex, health state descriptors) and to investigate whether and how the valuations differ. RESULTS: Population mean valuations of the 42 health states ranged from -0.38 to 0.88 for the United States and from -0.54 to 0.88 for the United Kingdom, with the US mean scores being numerically higher than the UK for 39 health states (mean difference: 0.11; range: -0.01 to 0.25). After adjusting for the main effects of known predictors, the average difference in valuations was 0.10 (P < 0.001). The magnitude of the difference in the US and UK valuations was not constant across EQ-5D health states; greater differences in valuations were present in health states characterized by extreme problems. CONCLUSIONS: Meaningful differences exist in directly elicited TTO valuations of EQ-5D health states between the US and UK general populations. Therefore, EQ-5D index scores generated using valuations from the US general population should be used for studies aiming to reflect health state preferences of the US general public.

Adult↗
PubMed2005

Eliciting social preference weights for Functional Assessment of Cancer Therapy-Lung health states.

BACKGROUND: The Functional Assessment of Cancer Therapy-Lung (FACT-L) is a multidimensional measure of quality of life developed for use in the evaluation of interventions in lung cancer. OBJECTIVE: To develop a set of utility weights that could be used to convert FACT-L into a single index capable of being used in the economic analysis of clinical trial data. METHOD: A core set of FACT-L items were valued in two versions of a 14-page postal survey of over 400 members of the UK general population. Respondents valued hypothetical FACT-L health states using a scale from 0 to 100 (worst to best health state). Respondents also valued their own health using the standard form of the EuroQol EQ-5D. Data were entered into an ordinary least squares regression model. RESULTS: Item weights estimated in regression analysis yielded values for 10 items from the FACT-L. The summary index based on this selected set of FACT-L items has a maximum value of 0.703 and a minimum value of 0.111. CONCLUSION: This study demonstrates a practical method of converting a standard condition-specific measure into a form that has the requisite properties to legitimise its use in cost-utility analysis. The methodology used here is not unique to FACT-L and might be considered appropriate for use in converting similar instruments.

Adult↗
PubMed2004

Usefulness of EQ-5D in assessing health status in primary care patients with major depressive disorder.

OBJECTIVES: Major depressive disorder (MDD) is a prevalent psychiatric disorder associated with impaired patient functioning and reductions in health-related quality of life (HRQL). The present study describes the impact of MDD on patients' HRQL and examines preference-based health state differences by patient features and clinical characteristics. METHODS: 95 French primary care practitioners recruited 250 patients with a DSM-IV diagnosis of MDD for inclusion in an eight-week follow-up cohort. Patient assessments included the Montgomery Asberg Depression Rating Scale (MADRS), the Clinical Global Impression of Severity (CGI), the Short Form-36 Item scale (SF-36), the Quality of Life Depression Scale (QLDS) and the EuroQoL (EQ-5D). RESULTS: The mean EQ-5D utility at baseline was 0.33, and 8% of patients rated their health state as worse than death. There were no statistically significant differences in utilities by demographic features. Significant differences were found in mean utilities by level of disease severity assessed by CGI. The different clinical response profiles, assessed by MADRS, were also revealed by EQ-5D at endpoint: 0.85 for responders remitters, 0.72 for responders non-remitter, and 0.58 for non-responders. Even if HRQL and EQ-5D were moderately correlated, they shared only 40% of variance between baseline and endpoint. CONCLUSIONS: Self-reported patient valuations for depression are important patient-reported outcomes for cost-effectiveness evaluations of new antidepressant compounds and help in further understanding patient compliance with antidepressant treatment.

Adolescent↗
PubMed2004

Re-scaling social preference data: implications for modelling.

As applied in cost-utility analysis, generic health status indexes require that full health and dead are valued as 1 and 0, respectively. When social preference weights for health states are obtained using a visual analogue scale (VAS), their raw scores often lie on a scale with different endpoints (such as "best" and "worst" health). Re-scaling individual raw scores to a 0-1 scale leads to the exclusion of respondents who fail to value dead or full health. This study examined alternative approaches that do not impose such strict exclusion criteria. The impact of a different timing of re-scaling (before or after aggregation) and a different measure of central tendency (median or mean) is measured. Data from a postal valuation survey (n=722) conducted in Belgium are used. The following models are considered: (a) re-scaling values for EQ-5D health states on a within-respondent basis and using mean re-scaled values as proxies for social preference values, (b) using median re-scaled values as proxies for social preference values, (c) computing the median raw VAS values and then re-scale, and (e) re-scaling mean raw VAS values. Exclusion rates, health state rankings and valuations and incremental value differences between pairs of states are computed for each model. Models that use a different timing of re-scaling, are compared ceteris paribus to evaluate the importance of timing of re-scaling and models that use a different measure of central tendency are compared ceteris paribus to evaluate the importance of the measure of central tendency. The exclusion rates are above 20% in the models that re-scale valuations before aggregation and less than 5% in the models that re-scale after aggregation. Health state valuations are found to be different in all two by two comparisons. Although in some comparisons the incremental values are statistically significantly different between models, they are never clinically significantly different. Differences in health state rankings were larger between the models that use a different measure of central tendency than between the models that re-scale at a different time. This study shows that, for the data sample used, the choice of the measure of central tendency is more important for the social health status preference values than the timing of re-scaling. Using median original valuations in the analysis of EQ-5D valuation data is theoretically appealing because it builds on the "median voter" model and has the advantage of a lower respondent exclusion rate. Further analysis, on other data samples, will have to confirm the current findings.

Adult↗
PubMed2003

How do Zimbabweans value health states?

BACKGROUND: Quality of life weights based on valuations of health states are often used in cost utility analysis and population health measures. This paper reports on an attempt to develop quality of life weights within the Zimbabwe context. METHODS: 2,384 residents in randomly selected small residential plots of land in a high-density suburb of Harare valued descriptors of 38 health states based on different combinations of the five domains of the EQ-5D (mobility, self-care, usual activities, pain or discomfort and anxiety or depression). The English version of the EQ-5D was used. The time trade-off method was used to determine the values, and 19,020 individual preferences for health states were analysed. A residual maximum likelihood linear mixed model was used to estimate a function for predicting the values of all possible combinations of levels on the five domains. The model was fit to a random subset of two-thirds of the observations, with the remaining observations reserved for analysis of predictive validity. The results were compared to a similar study undertaken in the United Kingdom. RESULTS: A credible model was developed to predict the values of states that were not valued directly. In the subset of observations reserved for validation, the mean absolute difference between predicted and observed values was 0.045. All domains of the EQ-5D were found to contribute significantly to the model, both at the moderate and severe levels. Severe pain was found to have the largest negative coefficient, followed by the inability to wash and dress oneself. CONCLUSION: Despite a generally lower education level than their European counterparts, urban Zimbabweans appear to value health states in a consistent manner, and the determination of a global method of establishing quality of life weights may be feasible and valid. However, as the relative weightings of the different domains, although correlated, differed from the standard set of weights recommended by the EuroQol Group, the locally determined coefficients should be used within the Zimbabwean context.

Journal Article↗
PubMed2003

Logical inconsistencies in survey respondents' health state valuations -- a methodological challenge for estimating social tariffs.

Logical inconsistencies in survey respondents' valuations of hypothetical health states - represented by the EQ-5D, for example - present a conundrum as to whether or not their responses ought to be included for estimating social 'tariffs'. A 'logical inconsistency' occurs when a state that 'in logical terms' is unambiguously less severe than another is assigned a lower value. Excluding such responses is defensible on data quality grounds but puts at risk the representativeness of the estimated tariff, given it is meant to represent the preferences of 'society'. This paper explores the rationale for and effect of excluding, to varying degrees, responses distinguished by the number of pairwise inconsistencies they contain, and reports equations for two tariffs that arise from contrasting approaches. The data are from a random sample of adult New Zealanders whose visual analogue scale valuations for a selection of EQ-5D states were collected in 1999 via a postal survey to which 1360 people responded (a 50% response rate). We conclude that there is no simple, generalisable 'rule' to guide exclusions and therefore researchers ought to explore the sensitivity of their estimated tariffs (and ultimately QALY estimates) to alternative treatments of logically inconsistent responses.

Adolescent↗
PubMed2003

A single European currency for EQ-5D health states. Results from a six-country study.

The EQ-5D questionnaire is a widely used generic instrument for describing and valuing health that was developed by the EuroQol Group. A primary objective of the EuroQol Group is the investigation of values for health states in the general population in different countries. As part of the EuroQol enterprise 11 population surveys were carried out in six Western European countries (Finland, Germany, The Netherlands, Spain, Sweden and the UK) to value health states as defined by the EQ-5D using a standardised visual analogue scale (EQ-5D VAS). This contribution reports how a European set of general population preference weights was derived from the data collected in the 11 valuation studies. The scores from this set of preference weights can be applied to generate a VAS-based weighted health status index for all the potential 243 EQ-5D health states for use in multi-national studies. To estimate the preference weights a multi-level regression analysis was performed on 82,910 valuations of 44 EQ-5D health states elicited from 6,870 respondents. Stable and plausible solutions were found for the model parameters. The R(2) value was 75%. The analysis showed that the major source of variance, apart from 'random error', was variance between individuals (28.3% of the total residual variance). These results suggest that VAS values for EQ-5D health states in six Western European countries can be described by a common model.

Journal Article↗
PubMed2003

Measuring population health: a comparison of three generic health status measures.

OBJECTIVES: The relative performance of three widely used generic health status measures (EQ-5D, a modified HUI3 [mHUI3], and SF-12) was compared within a general population sample. MATERIALS AND METHODS: Data were taken from a cohort of persons identified from the patient list of a large general practice in York, UK. Two-way comparisons were made between EQ-5D and mHUI3 and EQ-5D and SF-12. The measures were assessed in terms of their practical viability, coverage, and discrimination. Practical viability was evaluated in terms of the extent of missing responses and the proportion indicating difficulty with a measure. Coverage examined the range of responses across the items in the measures. Discrimination examined the capacity of the measures to discriminate between persons according to their self-reported morbidity and socioeconomic status. RESULTS: One thousand one hundred twenty-six persons completed a postal questionnaire containing EQ-5D and either mHUI3 (n = 593) or SF-12 (n = 533). Missing responses were low across all three instruments. SF-12 showed a broad distribution of responses across its items however, responses on the mHUI3 hearing, speech and dexterity dimensions and the EQ-5D self-care dimension were highly skewed, with few persons reporting problems. In terms of summary scores, mHUI3 identified more mild health states than EQ-5D. EQ-5D and mHUI3 showed slightly better discrimination than SF-12. CONCLUSIONS: Despite the inherent differences in their descriptive systems and scoring functions, no one instrument performed better or worse than the other with respect to the criteria applied in this study. Some of the issues to be considered when choosing a population health measure are discussed.

Adolescent↗