Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D

Richardson, Jeffrey Ralph James; Sinha, Kompal; Iezzi, Angelo; Khan, Mumtaz Ahmad

doi:10.1007/s11136-014-0686-8

Cited by 117 publications

(111 citation statements)

References 13 publications

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“…Total score on the Assessment of Quality of Life-8 Dimension [AQoL-8D; (37)] was used to assess health-related quality of life. This 35-item questionnaire encompasses eight dimensions of physical and psychosocial health, with lower scores indicating fewer issues related to subjective quality of life in the past week.…”

Section: Methodsmentioning

confidence: 99%

Promoting Personal Recovery in People with Persisting Psychotic Disorders: Development and Pilot Study of a Novel Digital Intervention

et al. 2016

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BackgroundFor people with persisting psychotic disorders, personal recovery has become an important target of mental health services worldwide. Strongly influenced by mental health service consumer perspectives, personal recovery refers to being able to live a satisfying and contributing life irrespective of ongoing symptoms and disability. Contact with peers with shared lived experience is often cited as facilitative of recovery. We aimed to develop and pilot a novel recovery-based digitally supported intervention for people with a psychotic illness.MethodsWe developed a website to be used on a tablet computer by mental health workers to structure therapeutic discussions about personal recovery. Central to the site was a series of video interviews of people with lived experience of psychosis discussing how they had navigated issues within their own recovery based on the Connectedness–Hope–Identity–Meaning–Empowerment model of recovery. We examined the feasibility and acceptability of an 8-session low intensity intervention using this site in 10 participants with persisting psychotic disorders and conducted a proof-of-concept analysis of outcomes.ResultsAll 10 participants completed the full course of sessions, and it was possible to integrate use of the website into nearly all sessions. Participant feedback confirmed that use of the website was a feasible and acceptable way of working. All participants stated that they would recommend the intervention to others. Post-intervention, personal recovery measured by the Questionnaire for the Process of Recovery had improved by an average standardized effect of d = 0.46, 95% CI [0.07, 0.84], and 8 of the 10 participants reported that their mental health had improved since taking part in the intervention.ConclusionIn-session use of digital resources featuring peer accounts of recovery is feasible and acceptable and shows promising outcomes. A randomized controlled trial is the next step in evaluating the efficacy of this low intensity intervention when delivered in conjunction with routine mental health care.

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Section: Methodsmentioning

confidence: 99%

Promoting Personal Recovery in People with Persisting Psychotic Disorders: Development and Pilot Study of a Novel Digital Intervention

et al. 2016

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“…The 15D questionnaire [27] includes 15 items and 5 possible levels for each one, defining 3.05 * 10 10 states. The AQoL-8D [23] includes 8 dimensions defining 2.37 *10 23 states and it is the most sensitive instrument for measuring the psychosocial component [22]. The fourth MAU instrument used in the current study was the SF-6D [7], which was derived from SF-12 questionnaire and defines 18,000 health states.…”

Section: Methodsmentioning

confidence: 99%

“Fibromyalgia and quality of life: mapping the revised fibromyalgia impact questionnaire to the preference-based instruments”

Collado-Mateo

Chen

García-Gordillo

et al. 2017

Health Qual Life Outcomes

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BackgroundThe revised version of the Fibromyalgia Impact Questionnaire (FIQR) is one of the most widely used specific questionnaires in FM studies. However, this questionnaire does not allow calculation of QALYs as it is not a preference-based measure. The aim of this study was to develop mapping algorithm which enable FIQR scores to be transformed into utility scores that can be used in the cost utility analyses.MethodsA cross-sectional survey was conducted. One hundred and 92 Spanish women with Fibromyalgia were asked to complete four general quality of life questionnaires, i.e. EQ-5D-5 L, 15D, AQoL-8D and SF-12, and one specific disease instrument, the FIQR. A direct mapping approach was adopted to derive mapping algorithms between the FIQR and each of the four multi-attribute utility (MAU) instruments. Health state utility was treated as the dependent variable in the regression analysis, whilst the FIQR score and age were predictors.ResultsThe mean utility scores ranged from 0.47 (AQoL-8D) to 0.69 (15D). All correlations between the FIQR total score and MAU instruments utility scores were highly significant (p < 0.0001) with magnitudes larger than 0.5. Although very slight differences in the mean absolute error were found between ordinary least squares (OLS) estimator and generalized linear model (GLM), models based on GLM were better for EQ-5D-5 L, AQoL-8D and 15D.ConclusionMapping algorithms developed in this study enable the estimation of utility values from scores in a fibromyalgia specific questionnaire.

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“…The methods for eliciting population preferences for health states from the different health utility instruments vary, with a reliance on a visual analogue scale (VAS) for the 15D [45] and QWB [47], standard gamble for the HUI3 [44] and SF-6D [43], a combination of time trade-off (TTO) and DCE for EQ-5D-5L [48], and a VAS/TTO combination for AQoL-8D [49]. All six health-related utility instruments rely on population preferences for eliciting utilities, although the AQoL-8D values are generated from a combination of public and mental health patient preferences [49].…”

Section: Methodsmentioning

confidence: 99%

“…All six health-related utility instruments rely on population preferences for eliciting utilities, although the AQoL-8D values are generated from a combination of public and mental health patient preferences [49]. In cases where more than one value set exists for different measures, given that there is currently only an ICECAP-A tariff available for the UK, we use the UK tariffs for the other instruments where available (i.e.…”

Section: Methodsmentioning

confidence: 99%

Are Quality-Adjusted Life Years a Good Proxy Measure of Individual Capabilities?

et al. 2017

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BackgroundThere is a debate in the health economics literature concerning the most appropriate way of applying Amartya Sen’s capability approach in economic evaluation studies. Some suggest that quality-adjusted life years (QALYs) alone are adequate while others argue that this approach is too narrow and that direct measures of capability wellbeing provide a more extensive application of Sen’s paradigm.ObjectiveThis paper empirically explores whether QALYs provide a good proxy for individual capabilities.MethodsData is taken from a multinational cross-sectional survey of individuals with seven health conditions (asthma, arthritis, cancer, depression, diabetes, hearing loss, heart disease) and a healthy population. Each individual completed the ICECAP-A measure of capability wellbeing for adults and six health utility instruments that are used to generate QALYs, including EQ-5D and SF-6D. Primary analysis examines how well health utility instruments can explain variation in the ICECAP-A using ordinary least squares regression.ResultsThe findings show that all seven health conditions have a negative association on overall capability as measured by the ICECAP-A index. Inclusion of health utility instruments into separate regressions improves the predictive power of capability but on average, explains less than half of the variation in capability wellbeing. Individuals with arthritis appear to be less inhibited in terms of capability losses when accounting for health utility, yet those who have depression record significant reductions in capability relative to the healthy population even after accounting for the most commonly used health utility instruments.ConclusionThe study therefore casts doubt on the ability of QALYs to act as a reliable proxy measure of individuals’ capability.

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Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D

Abstract: The AQoL-8D is a suitable instrument for researchers conducting cost utility analyses generally but, in particular, for the analysis of services affecting psycho-social health.

Cited by 117 publications

References 13 publications

Promoting Personal Recovery in People with Persisting Psychotic Disorders: Development and Pilot Study of a Novel Digital Intervention

Promoting Personal Recovery in People with Persisting Psychotic Disorders: Development and Pilot Study of a Novel Digital Intervention

“Fibromyalgia and quality of life: mapping the revised fibromyalgia impact questionnaire to the preference-based instruments”

Are Quality-Adjusted Life Years a Good Proxy Measure of Individual Capabilities?

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