The performance of the EQ-HWB-S as a measure of quality-of-life of caregivers in families that have experienced adverse events

PURPOSE

The recently developed EQ Health and Wellbeing Instrument (EQ-HWB) is a broad, generic measure of quality-of-life designed to be suitable for caregivers. The aim of this study was to investigate performance and validity of the 9-item version (EQ-HWB-S) for caregivers where families had experienced adverse-life-events.

METHODS

Using survey data from caregivers of children aged 0-8 years attending a community-health centre in 2021-2022, the general performance, feasibility, convergent and known-group validity, responsiveness-to-change, and test-retest reliability of the EQ-HWB-S was assessed. Twelve semi-structured interviews were conducted with survey respondents to assess acceptability and content validity.

RESULTS

The sample included  234 caregivers at baseline (81% female, mean age 36-years, 38% Australian-born) and 190 at 6-months follow-up. Most EQ-HWB-S item responses were evenly spread, except for 'Mobility'. The instrument showed good convergent validity with psychological distress (Kessler 6 (K6)) and personal-wellbeing (PWI-A) scales. EQ-HWB-S level sum-scores and preference-weighted scores were significantly different in all known-group analyses, in expected directions, and the instrument was responsive to change. For test-retest reliability, Intraclass Correlation Coefficients were excellent and individual item Kappa scores were moderate. The instrument was well received by interviewees who found the questions clear and relevant. The items were appropriate for parents experiencing adversity and carers of children with additional needs.

CONCLUSION

The EQ-HWB-S appeared valid, responsive to change, feasible, and well accepted by caregivers. By demonstrating the validity of the EQ-HWB-S in this hard-to-reach population of caregivers in families experiencing adverse events, this study adds to existing international evidence supporting its use.

Systematic Review of the Relative Social Value of Child and Adult Health

OBJECTIVES

We aimed to synthesise knowledge on the relative social value of child and adult health.

METHODS

Quantitative and qualitative studies that evaluated the willingness of the public to prioritise treatments for children over adults were included. A search to September 2023 was undertaken. Completeness of reporting was assessed using a checklist derived from Johnston et al. Findings were tabulated by study type (matching/person trade-off, discrete choice experiment, willingness to pay, opinion survey or qualitative). Evidence in favour of children was considered in total, by length or quality of life, methodology and respondent characteristics.

RESULTS

Eighty-eight studies were included; willingness to pay (n = 9), matching/person trade-off (n = 12), discrete choice experiments (n = 29), opinion surveys (n = 22) and qualitative (n = 16), with one study simultaneously included as an opinion survey. From 88 studies, 81 results could be ascertained. Across all studies irrespective of method or other characteristics, 42 findings supported prioritising children, while 12 provided evidence favouring adults in preference to children. The remainder supported equal prioritisation or found diverse or unclear views. Of those studies considering prioritisation within the under 18 years of age group, nine findings favoured older children over younger children (including for life saving interventions), six favoured younger children and five found diverse views.

CONCLUSIONS

The balance of evidence suggests the general public favours prioritising children over adults, but this view was not found across all studies. There are research gaps in understanding the public's views on the value of health gains to very young children and the motivation behind the public's views on the value of child relative to adult health gains.

CLINICAL TRIAL REGISTRATION

The review is registered at PROSPERO number: CRD42021244593. There were two amendments to the protocol: (1) some additional search terms were added to the search strategy prior to screening to ensure coverage and (2) a more formal quality assessment was added to the process at the data extraction stage. This assessment had not been identified at the protocol writing stage.

Testing 2 Alternative Time Trade-Off Methods for Valuation of Children's Health States

OBJECTIVES

Composite time trade-off (cTTO) values for EQ-5D-Y-3L health states tend to be high, raising concerns about sensitivity particularly for mild or moderate health states. We conceptualized and pilot tested 2 alternative time trade-off (TTO) variants: the caregiver TTO (CGTTO) and lag-time TTO (LTTO).

METHODS

We collected CGTTO and LTTO data in China for 10 EQ-5D-Y-3L health states and compared the resulting values, respondent feedback, and task completion times with those from an EQ-5D-Y-3L valuation study using cTTO. We also examined how age and parental status of respondents could affect TTO values.

RESULTS

A total of 304 participants were included in this study. Overall, cTTO showed statistically better results in all feedback questions. On a 5-point Likert scale where lower score means greater agreement, the mean (SD) feedback scores for cTTO, LTTO, and CGTTO were 1.18 (0.58), 1.45 (0.91), and 1.65 (1.02) for "easy to understand"; 1.45 (0.91), 1.94 (1.08), and 1.86 (1.24) for "easy to differentiate"; and 3.61 (1.29), 2.97 (1.33), and 3.02 (1.50) for "difficult to decide," respectively. The mean (SD) TTO values of all 10 states were 0.463 (0.494), 0.387 (0.555), and 0.123 (0.710) for cTTO, LTTO, and CGTTO, respectively. The effects of age and parental status on TTO values differed by the 3 methods.

CONCLUSIONS

LTTO and CGTTO produce values with good characteristics and merit further investigation. Researchers need to be aware of the differences in design and values when using the TTO method to value children's health states.

Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr

PURPOSE

Many generic patient-reported instruments are available for the measurement of health outcomes, including EQ-5D-5L, and the Patient-Reported Outcome Measurement Information System (PROMIS). Assessing their measurement characteristics informs users about the consistency between, and limits of, evidence produced. The aim was to assess the measurement relationship between the EQ-5D-5L descriptive system and value sets, the PROMIS-29 and PROPr (PROMIS value set).

METHODS

Data were extracted from a cross-sectional survey administering measures of quality of life online in Australia. Descriptive analysis, agreement and construct validity assessment methods were used to compare instruments at the item, domain and value set level.

RESULTS

In total, 794 Australians completed the survey. Convergent validity analysis found that similar dimensions across instruments were highly correlated (> 0.50), but the PROMIS-29 assesses additional health concepts not explicitly covered by EQ-5D (sleep and fatigue). Known-group assessment found that EQ-5D-5L and PROPr were able to detect those with and without a condition (ES range 0.78-0.83) but PROPr could more precisely detect differing levels of self-reported health. Both instruments were sensitive to differences in levels of pain.

DISCUSSION

There is some consistency in what the EQ-5D-5L, PROMIS-29 and PROPr measure. Differences between value set characteristics can be linked to differences what is measured and the valuation approaches used. This has implications for the use of each in assessing health outcomes, and the results can inform decisions about which instrument should be used in which context.

Using Age-Specific Values for Pediatric HRQoL in Cost-Effectiveness Analysis: Is There a Problem to Be Solved? If So, How?

Value sets for the EQ-5D-Y-3L published to date appear to have distinctive characteristics compared with value sets for corresponding adult instruments: in many cases, the value for the worst health state is higher and there are fewer values < 0. The aim of this paper is to consider how and why values for child and adult health differ; and what the implications of that are for the use of EQ-5D-Y-3L values in economic evaluations to inform healthcare resource allocation decisions. We posit four potential explanations for the differences in values: (a) The wording of severity labels may mean the worst problems on the EQ-5D-Y-3L are descriptively less severe than those on the EQ-5D-5L; (b) Adults may genuinely consider that children are less badly affected than adults by descriptively similar health issues. That is, for any given health problem, adult respondents in valuation studies consider children's overall health-related quality of life (HRQoL) on average to be higher than that for adults; (c) Values are being sought by eliciting adults' stated preferences for HRQoL in another person, rather than in themselves (regardless of whether the 'other person' concerned is a child); and (d) The need to elicit preferences for child HRQoL that are anchored at dead = 0 invokes special considerations regarding children's survival. Existing evidence does not rule out the possibility that (c) and (d) exert an upward bias in values. We consider the implications of that for the interpretation and use of values for pediatric HRQoL. Alternative methods for valuing children's HRQoL in a manner that is not 'age specific' are possible and may help to avoid issues of non-comparability. Use of these methods would place the onus on health technology assessment bodies to reflect any special considerations regarding child quality-adjusted life-year gains.

Analytical Considerations When Anchoring Discrete Choice Experiment Values Using Composite Time Trade-Off Data: The Case of EQ-5D-Y-3L

Discrete choice experiments (DCEs) are becoming increasingly used to elicit preferences for children's health states. However, DCE data need to be anchored to produce value sets, and composite time trade-off (cTTO) data are typically used in the context of EQ-5D-Y-3L valuation. The objective of this paper is to compare different anchoring methods, summarise the characteristics of the value sets they produce, and outline key considerations for analysts. Three anchoring methods were compared using data from published studies: (1) rescaling using the mean value for the worst health state; (2) linear mapping; and (3) hybrid modelling. The worst state rescaling value set had the largest range. The worst state rescaling and linear mapping value sets preserved the relative importance of the dimensions from the DCE, whereas the hybrid model value set did not. Overall, the predicted values from the hybrid model value set were more closely aligned with the cTTO values. These findings are relatively generalisable. Deciding upon which anchoring approach to use is challenging, as there are numerous considerations. Where cTTO data are collected for more than one health state, anchoring on the worst health state will arguably be suboptimal. However, the final choice of approach may require value judgements to be made. Researchers should seek input from relevant stakeholders when commencing valuation studies to help guide decisions and should clearly set out their rationale for their preferred anchoring approach in study outputs.

Value Insider Season 1 Episode 2: How to Measure Quality of Life and Utility? (QoL) [Podcast]

How do we measure quality of life and utility of interventions? In this episode of the Value Insider podcast, host Mike Chambers speaks with Prof. Nancy Devlin about incorporating quality of life in value assessment. Prof. Devlin is professor of health economics at the University of Melbourne. Her past roles include Director of Research at the Office of Health Economics (OHE) London, Professor of Health Economics at City University of London, and she has been director of the International Society of Pharmacoeconomics and Outcomes Research (ISPOR). She is the Chair of the Board of the EuroQol Research Foundation, the international research organization which has developed and maintains the EQ-5D patient-reported outcome (PRO) instrument. Prof Devlin explains the value of the patient voice and how it can be measured and taken into account when considering the value of healthcare interventions.

Preference Elicitation Techniques Used in Valuing Children's Health-Related Quality-of-Life: A Systematic Review

BACKGROUND AND OBJECTIVES

Valuing children's health states for use in economic evaluations is globally relevant and is of particular relevance in jurisdictions where a cost-utility analysis is the preferred form of analysis for decision making. Despite this, the challenges with valuing child health mean that there are many remaining questions for debate about the approach to elicitation of values. The aim of this paper was to identify and describe the methods used to value children's health states and the specific issues that arise in the use of these methods.

METHODS

We conducted a systematic search of electronic databases to identify studies published in English since 1990 that used preference elicitation methods to value child and adolescent (under 18 years of age) health states. Eligibility criteria comprised valuation studies concerning both child-specific patient-reported outcome measures and child health states defined in other ways, and methodological studies of valuation approaches that may or may not have yielded a value set algorithm.

RESULTS

A total of 77 eligible studies were identified from which data on country setting, aims, condition (general population or clinically specific), sample size, age of respondents, the perspective that participants were asked to adopt, source of values (respondents who completed the preference elicitation tasks) and methods questions asked were extracted. Extracted data were classified and evaluated using narrative synthesis methods. The studies were classified into three groups: (1) studies comparing elicitation methods (n = 30); (2) studies comparing perspectives (n = 23); and (3) studies where no comparisons were presented (n = 26); selected studies could fall into more than one group. Overall, the studies varied considerably both in methods used and in reporting. The preference elicitation tasks included time trade-off, standard gamble, visual analogue scaling, rating/ranking, discrete choice experiments, best-worst scaling and willingness to pay elicited through a contingent valuation. Perspectives included adults' considering the health states from their own perspective, adults taking the perspective of a child (own, other, hypothetical) and a child/adolescent taking their own or the perspective of another child. There was some evidence that children gave lower values for comparable health states than did adults that adopted their own perspective or adult/parents that adopted the perspective of children.

CONCLUSIONS

Differences in reporting limited the conclusions that can be formed about which methods are most suitable for eliciting preferences for children's health and the influence of differing perspectives and values. Difficulties encountered in drawing conclusions from the data (such as lack of consensus and poor reporting making it difficult for users to choose and interpret available values) suggest that reporting guidelines are required to improve the consistency and quality of reporting of studies that value children's health using preference-based techniques.

Sugammadex, neostigmine and postoperative pulmonary complications: an international randomised feasibility and pilot trial

BACKGROUND

Sugammadex reduces residual neuromuscular blockade after anaesthesia, potentially preventing postoperative pulmonary complications. However, definitive evidence is lacking. We therefore conducted a feasibility and pilot trial for a large randomised controlled trial of sugammadex, neostigmine, and postoperative pulmonary complications.

METHODS

Patients aged ≥40 years having elective or expedited abdominal or intrathoracic surgery were recruited in Australia and Hong Kong. Perioperative care was at the discretion of clinicians, except for the use of rocuronium and/or vecuronium for neuromuscular blockade and the randomised intervention (sugammadex or neostigmine) for reversal. Feasibility measurements included recruitment, crossover, acceptability, completeness, and workload. Trial coordinator feedback was systematically sought. Patient-reported quality of life was measured using the EQ-5D-5L score. The primary pilot outcome was the incidence of new pulmonary complications up to hospital discharge (or postoperative day 7 if still in hospital).

RESULTS

Among 150 eligible patients, 120 consented to participate (recruitment rate 80%, 95% confidence interval [CI] 73 to 86%). The randomised intervention was administered without crossover to 115 of 117 patients who received reversal (98%, 95% CI 94 to 100%). The protocol was acceptable or highly acceptable to the anaesthetist in 108 of 116 cases (93%, 95% CI 87 to 97%; missing = 4). Four patients of the 120 patients were lost to follow-up at 3 months (3.3%, 95% CI 0.9 to 8.3%). Case report forms were complete at 3 months for all remaining patients. The median time to complete trial processes was 3.5 h (range 2.5-4.5 h). Trial coordinators reported no barriers to trial processes. Patients were aged 64 (standard deviation 11) years, 70 (58%) were male and 50 (42%) were female, and planned surgeries were thoracic (23 [19%]), upper abdominal (41 [34%]), and lower abdominal (56 [47%]). The primary outcome was observed in 5 (8.5%) of the 59 sugammadex patients and 5 (8.2%) of the 61 neostigmine patients (odds ratio 1.02, 95% CI 0.28 to 3.67).

CONCLUSIONS

A large international randomised controlled trial of sugammadex, neostigmine and postoperative pulmonary complications in adult patients having abdominal and intrathoracic surgery, including collection of cost-effectiveness evidence for Health Technology Appraisal, is feasible.

TRIAL REGISTRATION

Prospectively registered at the Australian and New Zealand Clinical Trials Registry ( ACTRN12620001313921 ) on December 7, 2020. www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380645&isReview=true .

Valuing EQ-5D-Y-3L Health States Using a Discrete Choice Experiment: Do Adult and Adolescent Preferences Differ?

Background

An important question in the valuation of children’s health is whether the preferences of younger individuals should be captured within value sets for measures that are aimed at them. This depends on whether younger individuals can complete valuation exercises and whether their preferences differ from those of adults. This study compared the preferences of adults and adolescents for EQ-5D-Y-3L health states using latent scale values elicited from a discrete choice experiment (DCE).

Methods

An online DCE survey, comprising 15 pairwise choices, was provided to samples of UK adults and adolescents (aged 11–17 y). Adults considered the health of a 10-year-old child, whereas adolescents considered their own health. Mixed logit models were estimated, and comparisons were made using relative attribute importance (RAI) scores and a pooled model.

Results

In total, 1000 adults and 1005 adolescents completed the survey. For both samples, level 3 in pain/discomfort was most important, and level 2 in self-care the least important, based on the relative magnitudes of coefficients. The RAI scores (normalized on self-care) indicated that adolescents gave less weight relative to adults to usual activities (1.18 v. 1.51; P < 0.05), pain/discomfort (1.77 v. 3.12; P < 0.01), and anxiety/depression (1.64 vs. 2.65; P < 0.01). The pooled model indicated evidence of differences between the two samples in both levels in pain/discomfort and anxiety/depression.

Limitations

The perspective of the DCE task differed between the 2 samples, and no data were collected to anchor the DCE data to generate value sets.

Conclusions

Adolescents could complete the DCE, and their preferences differed from those of adults taking a child perspective. It is important to consider whether their preferences should be incorporated into value sets.

An exploration of methods for obtaining 0 = dead anchors for latent scale EQ-5D-Y values

OBJECTIVES

Discrete choice experiments (DCEs) can be used to obtain latent scale values for the EQ-5D-Y, but these require anchoring at 0 = dead to meet the conventions of quality-adjusted life year (QALY) estimation. The primary aim of this study is to compare four preference elicitation methods for obtaining anchors for latent scale EQ-5D-Y values.

METHODS

Four methods were tested: visual analogue scale (VAS), DCE (with a duration attribute), lag-time time trade-off (TTO) and the location-of-dead (LOD) approach. In computer-assisted personal interviews, UK general public respondents valued EQ-5D-3L health states from an adult perspective and EQ-5D-Y health states from a 10-year-old child perspective. Respondents completed valuation tasks using all four methods, under both perspectives.

RESULTS

349 interviews were conducted. Overall, respondents gave lower values under the adult perspective compared to the child perspective, with some variation across methods. The mean TTO value for the worst health state (33333) was about equal to dead in the child perspective and worse than dead in the adult perspective. The mean VAS rescaled value for 33333 was also higher in the child perspective. The DCE produced positive child perspective values and negative adult perspective values, though the models were not consistent. The LOD median rescaled value for 33333 was negative under both perspectives and higher in the child perspective.

DISCUSSION

There was broad agreement across methods. Potential criteria for selecting a preferred anchoring method are presented. We conclude by discussing the decision-making circumstances under which utilities and QALY estimates for children and adults need to be commensurate to achieve allocative efficiency.

A new method for valuing health: directly eliciting personal utility functions

BACKGROUND

Standard methods for eliciting the preference data upon which 'value sets' are based generally have in common an aim to 'uncover' people's preferences by asking them to evaluate a subset of health states, then using their responses to infer their preferences over all dimensions and levels. An alternative approach is to ask people directly about the relative importance to them of the dimensions, levels and interactions between them. This paper describes a new stated preference approach for directly eliciting personal utility functions (PUFs), and reports a pilot study to test its feasibility for valuing the EQ-5D.

METHODS

A questionnaire was developed, designed to directly elicit PUFs from general public respondents via computer-assisted personal interviews, with a focus on helping respondents to reflect and deliberate on their preferences. The questionnaire was piloted in England.

RESULTS

Seventy-six interviews were conducted in December 2015. Overall, pain/discomfort and mobility were found to be the most important of the EQ-5D dimensions. The ratings for intermediate improvements in each dimension show heterogeneity, both within and between respondents. Almost a quarter of respondents indicated that no EQ-5D health states are worse than dead.

DISCUSSION

The PUF approach appears to be feasible, and has the potential to yield meaningful, well-informed preference data from respondents that can be aggregated to yield a value set for the EQ-5D. A deliberative approach to health state valuation also has the potential to complement and develop existing valuation methods. Further refinement of some elements of the approach is required.

New methods for modelling EQ-5D-5L value sets: An application to English data

Value sets for the EQ-5D-5L are required to facilitate its use in estimating quality-adjusted life years. An international protocol has been developed to guide the collection of stated preference data for this purpose and has been used to generate EQ-5D-5L valuation data for England. The aim of this paper is report the innovative methods used for modelling those data to obtain a value set. Nine hundred and ninety-six members of the English general public completed time trade-off (TTO) and discrete choice experiment (DCE) tasks. We estimate models, with and without interactions, using DCE data only, TTO data only, and TTO/DCE data combined. TTO data are interpreted as both left and right censored. Heteroskedasticity and preference heterogeneity between individuals are accounted for. We use Bayesian methods in the econometric analysis. The final model is chosen based on the deviance information criterion (DIC). Censoring and taking account of heteroskedasticity have important effects on parameter estimation. For DCE data only, TTO data only, and DCE/TTO data combined, models with parameters for all dimensions and levels perform best, as judged by the DIC. Taking account of heterogeneity improves fit, and the multinomial model reports the lowest DIC. This paper presents approaches that suit observed characteristics of EQ-5D-5L valuation data and recognise respondents' preference heterogeneity. The methods described are potentially relevant to other value set studies.

New methods for modelling EQ-5D-5L value sets: An application to English data

Value sets for the EQ-5D-5L are required to facilitate its use in estimating quality-adjusted life years. An international protocol has been developed to guide the collection of stated preference data for this purpose and has been used to generate EQ-5D-5L valuation data for England. The aim of this paper is report the innovative methods used for modelling those data to obtain a value set. Nine hundred and ninety-six members of the English general public completed time trade-off (TTO) and discrete choice experiment (DCE) tasks. We estimate models, with and without interactions, using DCE data only, TTO data only, and TTO/DCE data combined. TTO data are interpreted as both left and right censored. Heteroskedasticity and preference heterogeneity between individuals are accounted for. We use Bayesian methods in the econometric analysis. The final model is chosen based on the deviance information criterion (DIC). Censoring and taking account of heteroskedasticity have important effects on parameter estimation. For DCE data only, TTO data only, and DCE/TTO data combined, models with parameters for all dimensions and levels perform best, as judged by the DIC. Taking account of heterogeneity improves fit, and the multinomial model reports the lowest DIC. This paper presents approaches that suit observed characteristics of EQ-5D-5L valuation data and recognise respondents' preference heterogeneity. The methods described are potentially relevant to other value set studies.

Valuing health-related quality of life: An EQ-5D-5L value set for England

A new version of the EQ-5D, the EQ-5D-5L, is available. The aim of this study is to produce a value set to support use of EQ-5D-5L data in decision-making. The study design followed an international research protocol. Randomly selected members of the English general public completed 10 time trade-off and 7 discrete choice experiment tasks in face-to-face interviews. A 20-parameter hybrid model was used to combine time trade-off and discrete choice experiment data to generate values for the 3,125 EQ-5D-5L health states. Valuation data are available for 996 respondents. Face validity of the data has been demonstrated, with more severe health states generally given lower values. Problems with pain/discomfort and anxiety/depression received the greatest weight. Compared to the existing EQ-5D-3L value set, there are considerably fewer "worse than dead" states (5.1%, compared with over one third), and the minimum value is higher. Values range from -0.285 (extreme problems on all dimensions) to 0.950 (for health states 11211 and 21111). Results have important implications for users of the EQ-5D-5L both in England and internationally. Quality-adjusted life year gains from interventions seeking to improve very poor health may be smaller using this value set and may previously have been overestimated.

Valuing health-related quality of life: An EQ-5D-5L value set for England

A new version of the EQ-5D, the EQ-5D-5L, is available. The aim of this study is to produce a value set to support use of EQ-5D-5L data in decision-making. The study design followed an international research protocol. Randomly selected members of the English general public completed 10 time trade-off and 7 discrete choice experiment tasks in face-to-face interviews. A 20-parameter hybrid model was used to combine time trade-off and discrete choice experiment data to generate values for the 3,125 EQ-5D-5L health states. Valuation data are available for 996 respondents. Face validity of the data has been demonstrated, with more severe health states generally given lower values. Problems with pain/discomfort and anxiety/depression received the greatest weight. Compared to the existing EQ-5D-3L value set, there are considerably fewer "worse than dead" states (5.1%, compared with over one third), and the minimum value is higher. Values range from -0.285 (extreme problems on all dimensions) to 0.950 (for health states 11211 and 21111). Results have important implications for users of the EQ-5D-5L both in England and internationally. Quality-adjusted life year gains from interventions seeking to improve very poor health may be smaller using this value set and may previously have been overestimated.

Head-to-head comparison of health-state values derived by a probabilistic choice model and scores on a visual analogue scale

BACKGROUND

Health states were quantified based on discrete choice (DC) modeling and visual analogue scale (VAS) values using the five-level version of the EQ-5D (EQ-5D-5L). The aim of this study was to determine the extent of the relationship between DC derived values (indirect method) and VAS values (direct method).

METHODS

Data were collected in Canada, the United Kingdom, the Netherlands, and the United States. Respondents were asked to perform paired comparisons between two EQ-5D-5L health states for DC. In total, 400 different EQ-5D-5L states were included. After each DC task, respondents were prompted to score the two states one after another on a VAS. Intraclass correlation coefficients were calculated between DC and VAS values and illuminating graphs were designed.

RESULTS

Approximately 400 respondents participated from each country. High similarity [individual intraclass correlation coefficients (ICC) >0.85] of DC and moderate correspondence of VAS values were observed for the four countries. Cross-country comparison of DC values shows a nonlinear relationship to the VAS values.

CONCLUSION

EQ-5D-5L derived DC and VAS values show a close but nonlinear relationship. Given the obvious biases associated with the VAS, DC methods based on ordinal responses may be a better alternative.

The effect of religion on the perception of health states among adults in the United Arab Emirates: a qualitative study

OBJECTIVES

Investigate how religion may affect the perception of health states among adults in the United Arab Emirates and the implications for research on self-reported health and quality of life and the use of values in cost-effectiveness analysis.

DESIGN

Qualitative analysis of short-structured interviews with adult Emiratis carried out by a market research agency.The COREQ criteria have been used where appropriate to guide the reporting of our findings.

SETTING

Participants were recruited from shopping malls and other public places in the cities of Al Ain and Abu Dhabi.

PARTICIPANTS

Two hundred adult Emiratis broadly representative of the Emirati population in terms of age and gender.

RESULTS

Eighty one per cent of participants said that their perception of health states was influenced by their spiritual or religious beliefs. The two overarching themes that seemed to explain or classify these influences were 'fatalism' and 'preservation of life'. Subthemes included powerlessness to change what is preordained by God, fear of disability (particularly diminished mobility) and appreciation of health and life and the requirement to look after one's health. A final theme was that of acceptance, with respondents expressing a willingness to endure suffering and disability with patience in the expectation of rewards in the hereafter.

CONCLUSIONS

Our results emphasise the need for further work to establish locally relevant value sets for Muslim majority countries in the Middle East and elsewhere for use in health technology assessment decision-making, rather than relying on value sets from other regions.

An exploration of differences between Japan and two European countries in the self-reporting and valuation of pain and discomfort on the EQ-5D

PURPOSE

To investigate the systematic differences in the self-reporting and valuation of overall health and, in particular, pain/discomfort between three countries (England/UK, Japan, and Spain) on the EQ-5D.

METHODS

Existing datasets were used to explore differences in responses on the EQ-5D descriptive system between Japan (3L and 5L), the UK (3L), England (5L), and Spain (5L), particularly on the dimension of pain/discomfort. The role of different EQ dimensions in determining self-reported overall health scores for the EuroQol visual analog scale (EQ-VAS) was investigated using ordinary least squares regression. Time trade-off (TTO) results from Japanese and UK respondents for the EQ-5D-3L as well as Japanese and English respondents for the EQ-5D-5L were compared using t tests.

RESULTS

For the EQ-5D-3L, a higher percentage of respondents in Japan than in the UK reported 'no pain/discomfort' (81.6 vs 67.0%, respectively); for the EQ-5D-5L, the proportions were 79.2% in Spain, 73.2% in Japan, and 63-64% in England, after adjusting for age differences in samples. The 'pain/discomfort' dimension had the largest impact on respondents' self-reported EQ-VAS only for EQ-5D-3L in Japan. Using the EQ-5D-3L, Japanese respondents were considerably less willing to trade off time to avoid pain/discomfort than the UK respondents; for example, moving from health state, 11121 (some problems with pain/discomfort) to 11131 (extreme pain/discomfort) represented a decrement of 0.65 on the observed TTO value in the UK compared with 0.15 in Japan. Using the EQ-5D-5L, Japanese respondents were also less willing to trade off time to avoid pain/discomfort than respondents in England; however, the difference in values was much smaller than that observed using EQ-5D-3L data.

CONCLUSIONS

This study provides evidence of between-country differences in the self-reporting and valuation of health, including pain/discomfort, when using EQ-5D in general population samples. The results suggest a need for caution when comparing or aggregating EQ-5D self-reported data in multi-country studies.

EQ-5D and the EuroQol Group: Past, Present and Future

Over the period 1987-1991 an inter-disciplinary five-country group developed the EuroQol instrument, a five-dimensional three-level generic measure subsequently termed the 'EQ-5D'. It was designed to measure and value health status. The salient features of its development and its consolidation and expansion are discussed. Initial expansion came, in particular, in the form of new language versions. Their development raised translation and semantic issues, experience with which helped feed into the design of two further instruments, the EQ-5D-5L and the youth version EQ-5D-Y. The expanded usage across clinical programmes, disease and condition areas, population surveys, patient-reported outcomes, and value sets is outlined. Valuation has been of continued relevance for the Group as this has allowed its instruments to be utilised as part of the economic appraisal of health programmes and their incorporation into health technology assessments. The future of the Group is considered in the context of: (1) its scientific strategy, (2) changes in the external environment affecting the demand for EQ-5D, and (3) a variety of issues it is facing in the context of the design of the instrument, its use in health technology assessment, and potential new uses for EQ-5D outside of clinical trials and technology appraisal.

A program of methodological research to arrive at the new international EQ-5D-5L valuation protocol

OBJECTIVES

To describe the research that has been undertaken by the EuroQol Group to improve current methods for health state valuation, to summarize the results of an extensive international pilot program, and to outline the key elements of the five-level EuroQol five-dimensional (EQ-5D-5L) questionnaire valuation protocol, which is the culmination of that work.

METHODS

To improve on methods of health state valuation for the EQ-5D-5L questionnaire, we investigated the performance of different variants of time trade-off and discrete choice tasks in a multinational setting. We also investigated the effect of three modes of administration on health state valuation: group interviews, online self-completion, and face-to-face interviews.

RESULTS

The research program provided the basis for the EQ-5D-5L questionnaire valuation protocol. Two different types of tasks are included to derive preferences: a newly developed composite time trade-off task and a forced-choice paired comparisons discrete choice task. Furthermore, standardized blocked designs for the selection of the states to be valued by participants were created and implemented together with all other elements of the valuation protocol in a digital aid, the EuroQol Valuation Technology, which was developed in conjunction with the protocol.

CONCLUSIONS

The EuroQol Group has developed a standard protocol, with accompanying digital aid and interviewer training materials, that can be used to create value sets for the EQ-5D-5L questionnaire. The use of a well-described, consistent protocol across all countries enhances the comparability of value sets between countries, and allows the exploration of the influence of cultural and other factors on health state values.

Assessing the performance of the EQ-VAS in the NHS PROMs programme

Objectives

The study aims to increase knowledge about the performance of the EuroQol-visual analogue scales (EQ-VAS) in the UK NHS patient-reported outcome measures (PROMs) programme, which covers groin hernia, hip and knee replacement and varicose vein surgery, and make suggestions for improved collection, coding and analysis of data.

Methods

Four hundred scanned images of matched before-and-after EQ-VAS PROMs responses were selected at random. These were classified according to the different ways in which they were completed. Patient-level PROMs programme data linked to Hospital Episode Statistics for all patients from April 2009 to February 2011 were used to analyse the relationship between the EQ-VAS and the EQ-5D profile, index-weighted profile and condition-specific instruments. The linked PROMs and HES data comprise 331,951 anonymised patient records.

Results

A large majority (95 %) of EQ-VAS responses were completed in an unambiguous way, but only a minority (45 %) conformed strictly to the instructions given, posing challenges for data coding. The EQ-VAS data have a predictable and consistent relationship with the EQ-5D profile, although the correlations between the EQ-VAS and other measures of patient-reported health, both before and after surgery and in the change between them, are weak.

Conclusions

EQ-VAS data might be improved by providing better guidance on collection and coding. It is argued that the observed differences in results from EQ-VAS and other measures of health reflect the fact that it measures a broader underlying construct of health, arguably providing a means of summarising overall health that is closer to the patient’s perspective.

Truly inefficient or providing better quality of care? Analysing the relationship between risk-adjusted hospital costs and patients' health outcomes

Observed variation in hospital costs may be attributable to differences in patients' health outcomes. Previous studies have resorted to inherently incomplete outcome measures such as mortality or re-admission rates to assess this claim. This study makes use of a novel dataset of routinely collected patient-reported outcome measures (PROMs) linked to inpatient records to (i) access the degree to which cost variation is associated with variation in patients' health gain and (ii) explore how far judgement about hospital cost performance changes when health outcomes are accounted for. We use multilevel modelling to address the clustering of patients in providers and isolate unexplained cost variation. We find some evidence of a U-shaped relationship between risk-adjusted costs and outcomes for hip replacement surgery. For three other procedures (knee replacement, varicose vein and groin hernia surgery), the estimated relationship is sensitive to the choice of PROM instrument. We do not observe substantial changes in cost performance estimates when outcomes are explicitly accounted for.

Lead versus lag-time trade-off variants: does it make any difference?

OBJECTIVES

The traditional time trade-off (TTO) method has some problems in the valuation of health states considered worse than dead. The aim of our study is to compare two TTO variants that address this issue: lead-time and lag-time TTO.

METHODS

Quota sampling was undertaken in June 2011 in Buenos Aires as part of the EQ-5D-5L Multinational Pilot Study. Respondents were randomly assigned to one of the TTO variants with two blocks of five EQ-5D-5L health states. Tasks were administered using a web-based digital aid (EQ-VT) administered in a group interview.

RESULTS

A total of 387 participants were included [mean age 38.85 (SD: 13.97); 53.14 % females]. The mean observed values ranged from 0.44 (0.59) for state 21111 to 0.02 (0.76) for state 53555 in the lead-time group and between 0.53 (0.52) and 0.08 (0.76) in the lag-time group. There were no statistically significant differences in the values between TTO variants, except for a significant difference of 0.19 for state 33133. In both variants, marked peaks were observed around the value 0 across all states, with a higher percentage of 0 responses in the last state valued, suggesting ordering effects.

CONCLUSIONS

No important differences were found between TTO variants regarding values for EQ-5D-5L health states, suggesting that they could be equivalent variants. However, differences between the two methods may have been obscured by other aspects of the study design affecting the characteristics of the data.

Time to tweak the TTO: results from a comparison of alternative specifications of the TTO

This article examines the effect that different specifications of the time trade-off (TTO) valuation task may have on values for EQ-5D-5L health states. The new variants of the TTO, namely lead-time TTO and lag-time TTO, along with the classic approach to TTO were compared using two durations for the health states (15 and 20 years). The study tested whether these methods yield comparable health-state values. TTO tasks were administered online. It was found that lag-time TTO produced lower values than lead-time TTO and that the difference was larger in the longer time frame. Classic TTO values most resembled those of the lag-time TTO in a 20-year time frame in terms of mean absolute difference. The relative importance of different domains of health was systematically affected by the duration of the health state. In the tasks with a 10-year health-state duration, anxiety/depression had the largest negative impact on health-state values; in the tasks with a 5-year duration, the pain/discomfort domain had the largest negative impact.

One-to-one versus group setting for conducting computer-assisted TTO studies: findings from pilot studies in England and the Netherlands

We compare two settings for administering time trade-off (TTO) tasks in computer-assisted interviews (one-to-one, interviewer-led versus group, self-complete) by examining the quality of the data generated in pilot studies undertaken in England and the Netherlands. The two studies used near-identical methods, except that in England, data were collected in one-to-one interviews with substantial amounts of interviewer assistance, whereas in the Netherlands, the computer aid was used as a self-completion tool in group interviews with lesser amounts of interviewer assistance. In total, 801 members of the general public (403 in England; 398 in the Netherlands) each completed five TTO valuations of EQ-5D-5L health states. Respondents in the Netherlands study showed a greater tendency to give 'round number' values such as 0 and 1 and to complete tasks using a minimal number of iterative steps. They also showed a greater tendency to skip the animated instructions that preceded the first task and to take into account assumptions that they were specifically asked not to take into account. When faced with a pair of health states in which one state dominated the other, respondents in the Netherlands study were more likely than those in the England study to give a higher value to the dominant health state. On the basis of these comparisons, we conclude that the one-to-one, interviewer-led setting is superior to the group, self-complete setting in terms of the quality of data generated and that the former is more suitable than the latter for TTO studies being used to value EQ-5D-5L.

The effects of lead time and visual aids in TTO valuation: a study of the EQ-VT framework

BACKGROUND

The effect of lead time in time trade-off (TTO) valuation is not well understood. The purpose of this study was to investigate the effects on health-state valuation of the length of lead time and the way the lead-time TTO task is displayed visually.

METHODS

Using two general population samples, we compared three lead-time TTO variants: 10 years of lead time in full health preceding 5 years of unhealthy time (standard); 5 years of lead time preceding 5 years of unhealthy time (experimental); and 10 years of lead time and 5 years of unhealthy time, presented with a visual aid to highlight the point where the lead time ends (experimental). Participants were randomized to receive one of the lead-time variants, as administered by a computer software program.

RESULTS

Health-state values generated by TTO valuation tasks using a longer lead time were slightly lower than those generated by tasks using a shorter lead time. When lead time and unhealthy time were presented with visual aids highlighting the difference between the lead time and unhealthy time, respondents spent more time considering health states with a value close to 0.

CONCLUSIONS

Different lead-time time trade-off variants should be carefully studied in order to achieve the best measurement of health-state values using this new method.

Lead versus lag-time trade-off variants: does it make any difference?

OBJECTIVES

The traditional time trade-off (TTO) method has some problems in the valuation of health states considered worse than dead. The aim of our study is to compare two TTO variants that address this issue: lead-time and lag-time TTO.

METHODS

Quota sampling was undertaken in June 2011 in Buenos Aires as part of the EQ-5D-5L Multinational Pilot Study. Respondents were randomly assigned to one of the TTO variants with two blocks of five EQ-5D-5L health states. Tasks were administered using a web-based digital aid (EQ-VT) administered in a group interview.

RESULTS

A total of 387 participants were included [mean age 38.85 (SD: 13.97); 53.14 % females]. The mean observed values ranged from 0.44 (0.59) for state 21111 to 0.02 (0.76) for state 53555 in the lead-time group and between 0.53 (0.52) and 0.08 (0.76) in the lag-time group. There were no statistically significant differences in the values between TTO variants, except for a significant difference of 0.19 for state 33133. In both variants, marked peaks were observed around the value 0 across all states, with a higher percentage of 0 responses in the last state valued, suggesting ordering effects.

CONCLUSIONS

No important differences were found between TTO variants regarding values for EQ-5D-5L health states, suggesting that they could be equivalent variants. However, differences between the two methods may have been obscured by other aspects of the study design affecting the characteristics of the data.

A uniform time trade off method for states better and worse than dead: feasibility study of the 'lead time' approach

The way time trade off (TTO) values are elicited for states of health considered 'worse than being dead' has important implications for the mean values used in economic evaluation. Conventional approaches to TTO, as used in the UK's 'MVH' value set, are problematic because they require fundamentally different trade-offs tasks for the valuation of states better and worse than dead. This study aims to refine and test the feasibility of a new approach described by Robinson and Spencer (2006. Health Economics 15: 393-402), and to explore the characteristics of the valuation data it generates. The approach introduces a 'lead time' into the TTO, producing a uniform procedure for generating values either >0 or<0. We used this lead time TTO to value 10 moderate to severe EQ-5D states using a sample of the general public (n=109). We conclude that the approach is feasible for use in valuation studies and appears to overcome the discontinuity in values around 0 evident in conventional methods. However, further research is required to resolve the issue of how to handle participants who 'use up' all lead time; to develop ways of controlling for individual time preferences; and to better understand the implications for valuations of states better than dead.

Patient-reported outcome measures in the NHS: new methods for analysing and reporting EQ-5D data

In a landmark move, the UK Department of Health (DH) has introduced the routine collection of patient-reported outcome measures (PROMs) to measure the performance of health-care providers. From April 2009, generic (EQ-5D) and condition-specific PROMs are being collected from patients before and after four surgical procedures; eventually this will be extended to include a wide range of other NHS services. The aim of this article is to report analysis of the EQ-5D data generated from a pilot study commissioned by the DH and to consider the implications for the use of EQ-5D data in performance indicators and measures of patient benefit. We present two new methods that we have developed for analysing and displaying EQ-5D profile data: a Paretian Classification of Health Change and a health profile grid. We show that EQ-5D profile data can be readily analysed to generate insights into the nature of changes in patient-reported health that would be obscured by summarising these profiles by their index scores, or focusing just on the post operative outcomes. Our methods indicate differences between providers and between sub-groups of patients. Our results also show striking differences in changes in EQ-5D profiles between surgical procedures, which require further investigation.

An analysis of NICE's 'restricted' (or 'optimized') decisions

BACKGROUND

A common way of describing UK National Institute for Health and Clinical Excellence (NICE) decisions is to distinguish between cases where NICE recommended use of a healthcare technology by all relevant patients ('yes'); those where it did not recommend use ('no'); and those where its decisions are a mixture of 'yes' to some patient subgroups, and 'no' to others. Over half of NICE's decisions are of this mixed type, which involve restricting (or 'optimizing') patient use in some way.

OBJECTIVE

To report an attempt to develop a robust and defensible means of measuring and describing the degree of patient access in mixed NICE decisions.

METHODS

A list of mixed decisions made from 2006 to the end of 2009 was identified using HTAinSite™. The following calculation was used: M = (p/P) × 100, where M is a measure of the level of patient access (0 = no access, 100 = full access), P is the set of patients considered in the guidance as Potential candidates for treatment (given the licensed use and the scope of NICE's appraisal), and p is a subset of those patients, for whom NICE did recommend treatment. M can be estimated either for a specific product or for a group of technologies (Multiple Technology Appraisals). Both product-specific and overall M were estimated, using estimates of p obtained from NICE costing templates. These data are subject to some important limitations, so the results should be regarded as illustrative.

RESULTS

Of the 69 medicines that have received a mixed decision since January 2006, 34 included details that allowed the estimation of M. Of these 34 decisions, 24 (71%) had a product-specific M ≤50, 16 (47%) M ≤25 and 11 (32%) M ≤10. That is, in just under three-quarters of the mixed decisions for which P and p were available, NICE recommended use for less than half of patients for whom the medicine is licensed, and in nearly one-third of these sorts of decisions, NICE recommended use in ≤10% of potential patients. The estimates of M for groups of technologies provide a slightly different picture: for example, grouped M was ≤10 in <20% of decisions.

CONCLUSIONS

The measure of patient access, M, proposed here has the potential to provide a more informative way of reporting all NICE decisions, particularly 'restricted' (or 'optimized') decisions.

"Yes", "No" or "Yes, but"? Multinomial modelling of NICE decision-making

The National Institute for Health and Clinical Excellence (NICE) issues mandatory guidance on health technologies to the UK NHS, based on clinical evidence, cost-effectiveness and other considerations. However, the exact factors considered, their relative importance and tradeoffs between them are not made explicit. Previous research modelled NICE decisions as a binary choice (accept/reject) dependent on cost-effectiveness, amongst other variables. This paper proposes and tests an alternative model of decision-making that may better represent the "yes, but..." nature of many NICE decisions. Decisions were categorised as "recommended for routine use", "recommended for restricted use" or "not recommended". The NICE appraisal process was modelled as a single decision between the three categories. Multinomial logistic regression techniques were used to evaluate the impact of: quantity/quality of clinical evidence; cost-effectiveness; decision date; existence of alternative treatments; budget impact; technology type. Results suggest that interventions supported by more randomised trials are more likely to be recommended and endorsed for routine use. Higher cost-effectiveness ratios increased the likelihood of interventions being rejected rather than recommended for restricted use but did not significantly affect the decision between routine and restricted use. Pharmaceuticals, interventions appraised early in the NICE programme and those with more systematic reviews were also less likely to be rejected, while patient group submissions made a recommendation for routine rather than restricted use more likely. The presence of factors affecting the decision between routine and restricted use but not that between routine use and rejection suggests that modelling these three outcomes reflects NICE decision-making more closely than binary-choice analyses.

Understanding health state valuations: a qualitative analysis of respondents' comments

Self-completed questionnaires (usually distributed by post) and visual analogue scales (VAS) are common means for collecting valuations for hypothetical EQ-5D health states. Although opportunities for respondents to comment on aspects of the exercise are often included, these data have rarely been the focus of analyses. This paper, therefore, reports on solicited and unsolicited written comments received in a New Zealand survey in 1999 to which 1360 people responded of whom approximately 50% made comments. The comments were systematically analysed via an inductive process that allowed principal themes to emerge with respect to understanding the peculiarities of respondents' valuations, particularly common 'data problems', and their perceptions as to the adequacy or otherwise of the EQ-5D classification system. From our findings we conclude that the valuation exercise imposes a substantial cognitive burden on respondents and many do not understand it (for a variety of reasons documented in the paper). Also, although there is some evidence for expanding the EQ-5D (generic) health-related quality of life dimensions, more research as to whether this holds for a larger sample and across cultural settings is needed. We offer recommendations for future research into understanding respondents' cognitive processes and possible revisions to the design and administration of the EQ-5D.

The validity and reliability of EQ-5D health state valuations in a survey of Măori

This note reports on a 2000 study of the content validity of the EQ-5D's representation of health for 66 Măori (New Zealand's indigenous people, comprising 14.5% of the population) accessed through cultural networks. Also examined was the construct validity of the health state valuation instrument and its test-retest reliability based on repeated valuations for the two extreme health states. The possibility that the EQ-SD fails to capture what Măori regard as 'health' derives from the so-called 'Măori health model' that augments biological health with mental, spiritual and family well-being. Seventy six percent of respondents considered the EQ-5D's representation of health to be adequate. This proportion is not statistically significantly different from the rates for non-Măori and Măori respectively in an earlier study and might suggest the EQ-5D has content validity for Măori. However, the high prevalence of missing valuations, particularly for dead, and logical inconsistencies suggests that the health state valuation instrument lacks construct validity, although there is evidence of test retest reliability.

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.

The social costs of alcohol abuse in New Zealand

AIMS

This study updates and extends previous New Zealand research on the social costs of alcohol abuse.

DESIGN

This economic cost study used the human capital approach.

SETTING

New Zealand, 1991.

PARTICIPANTS

The total New Zealand population.

MEASUREMENTS

The estimated cost of alcohol abuse for 1 year included direct and indirect costs. Costs such as lost production resulting from premature death and sickness, reduced working efficiency and excess unemployment comprised indirect costs. Direct costs included hospital costs, accident compensation payments, police and justice system costs. A range of social cost estimates was constructed based on various prevalence rates of alcohol abuse, discount rates for lost production and the excess unemployment rate.

FINDINGS

Using a range of assumptions regarding the proportion of each event attributable to alcohol, the sum of social costs ranged from $1045 million to $4005 million in 1991. The direct costs ranged from $341 million to $589 million, respectively.

CONCLUSIONS

While providing an indication of the societal impact of alcohol abuse, these costs pertain to a relatively narrow range of alcohol-related effects. The paper identifies a number of areas where further research is required.

The cost-effectiveness of mammography screening: evidence from a microsimulation model for New Zealand

Mammography screening currently represents the only means by which the mortality rate from breast cancer can be modified substantially. A national mammography screening programme is being considered for New Zealand, and pilot programmes were established in two regions (Otago/Southland and Waikato) in 1991 to determine the potential costs and benefits of mammography for New Zealand women. The aim of this paper is to explore the cost-effectiveness of mammography screening in New Zealand relative to no screening, and to examine the marginal change in costs and benefits of altering programme characteristics such as the age of women invited and screening frequency. Cost-effectiveness is measured by the net cost (the costs of screening minus the treatment savings averted by the early detection of cancers) per year of life gained, from the perspective of the public health care sector. A microsimulation computer model, MICROLIFE, was developed to facilitate the estimation of mortality reduction and cost-effectiveness. The results show that, while mammography screening does not 'save money' overall, the cost per year of life saved for a range of policies compares favourably with other New Zealand health services, and is comparable to the results from economic evaluations of mammography screening overseas. Of those regimes considered, screening women 50-64 years of age at 3-yearly intervals appears to be most cost-effective.

The costs of mammography screening in New Zealand: evidence from the pilot programmes

AIMS

To measure the public health service costs associated with New Zealand's pilot mammography screening programmes. To compare the early evidence on cost per woman screened and per cancer detected in those programmes to that of overseas screening programmes. To estimate the cost of introducing a national screening programme in New Zealand.

METHODS

Costs in each screening centre were obtained by a careful examination of screening budgets and public health service accounts; these were inflation adjusted using a consumers price index, and analysed in terms of equivalent annual operating costs.

RESULTS

In the first year of screening the cost per woman screened (in $1991) was $182 in Waikato and $178 in Otago/Southland. The cost per woman screened in the third year of screening (with an assumed full screening throughput of 8,000 women per annum) is estimated to fall to $106 and $113 for the Waikato and Otago/Southland programmes respectively. The cost per cancer detected in the first screening round differs between the two programmes. In the first year of screening the cost per cancer detected was $35,975 in Waikato and $21,908 in Otago/Southland. The difference was primarily attributable to a lower cancer detection rate in Waikato in that period (0.51% of women screened compared with 0.81% in Otago/Southland).

CONCLUSIONS

The initial performance of the New Zealand pilot programmes, both in terms of cost per woman screened and cost per cancer detected, falls within the range indicated from overseas experience. An established national screening programme is estimated to add between $9.3 and $9.9 million dollars (in 1991 dollar terms) to health service costs each year. These costs will be partly offset by savings resulting from the earlier detection of cancers.

The effects of denturism: New Zealand dentists' response to competition

The New Zealand Dental Act of 1988 allowed clinical dental technicians to deal directly with the public in fitting and supplying dentures. This study tested the hypothesis that dentists responded to competition from dental technicians by lowering their fees. The results indicate that there was no significant change in the fees charged by dentists for dentures. The apparent failure of deregulation to produce the expected outcome could be due to the competitive pressure imposed by dental technicians practicing illegally prior to 1988, to consumers' lack of information, or to barriers to "consumer search" imposed by the act itself.

The economics of dental practice in New Zealand, 1974-1993

New Zealand Dental Association survey data were used to explore trends in the principal indicators of dental practice economics over the last two decades. Gross income in the most recent financial year, 1992, was the highest during this period. However, the costs of dental practice have also risen, and now absorb close to 60 percent of revenue compared with around 50 percent in the early 1970s. As a result, real net income has yet to return to the "peak" levels achieved in the mid-1970s. Nevertheless, average real net incomes earned in 1992 (in 1988 dollar terms) of $85,701 is around 8 percent higher than the average real net income between 1974 and 1992 of $79,243. Furthermore, the lower income tax rates applying in the post-1990 period have produced post-1990 after-tax incomes which are higher in real terms than those in the pre-1990 period. The trends in real net dental income earned by dentists between 1982 and 1992 are shown to correspond closely to the trends in the average incomes of higher-income consumers. The rate of increase in the fees charged by dentists between 1978 and 1993 has, for most services, exceeded the rate of increase in consumer prices generally. A notable exception is the fee charged for complete dentures, which displayed much more modest increases. It is possible that this is attributable to the presence of competing suppliers (dental technicians) for this service.(ABSTRACT TRUNCATED AT 250 WORDS)

The distribution of household expenditures on health care

AIMS

To find out whether New Zealand household expenditures on health care services vary according to the income of the household. To compare expenditures on health care in 1987 with 1991.

METHODS

Information about household income and expenditure on health services was obtained from the Department of Statistics annual household expenditure and income surveys for the 1987 and 1991 financial years. Four categories of health expenditure were examined: general practitioner fees, dental fees, optician and optometrist fees, and spending on all health services combined.

RESULTS

Spending on health care is unequally distributed across income groups. In particular, the highest income households spend six times as much on dental care as the lowest income households. The difference between high and low income households in the amount spent on all health services was greater in 1991 than in 1987. In 1991 high income households spent 3.6 times as much on health services as low income households, compared with three times as much in 1987.

CONCLUSIONS

High income households spend substantially more on health care than do low income households. Households appear to assign a higher priority to medical care than dental care, although this may reflect the lack of any state subsidy on adult dental care.