Cancer survivor preferences for breast cancer follow-up care: a discrete choice experiment.

PURPOSE: To identify the key attributes of breast cancer follow-up care models preferred by cancer survivors in Australia. METHODS: A discrete choice experiment (DCE) was conducted to elicit preferences for attributes of breast cancer follow-up care. Respondents were presented with two hypothetical scenarios, known as choice sets, and asked to select a preference. Respondents were individuals living in Australia who were diagnosed with breast cancer within the past five years prior to survey completion and were recruited through the Breast Cancer Network of Australia and other community or consumer networks. Latent class modelling (LCM) approach under a random utility framework was used for the analysis. RESULTS: 123 breast cancer survivors completed the DCE survey. LCA revealed two latent classes, those with older age and lower quality of life (class 1) and younger women with higher quality of life (class 2). Class 2 preferred a care team comprising specialists, nurses and GPs and emphasised the importance of shared survivorship care plans. Class 1 remained neutral regarding the team's composition but was notably concerned about the out-of-pocket costs per consultation, a finding not seen in Class 2. CONCLUSIONS: Age and quality of life status are associated with patient preference for types and attributes of breast cancer follow-up care. The health system can work towards enhancing flexibility of follow-up care delivery, ultimately achieving person-centred care. IMPLICATIONS FOR CANCER SURVIVORS: Efforts need to be made by policymakers to ensure consumer preferences are taken into consideration to implement tailored person-centred follow-up care pathways.

Comparison of the Early Childhood Oral Health Impact Scale (ECOHIS-4D) and Child Health Utility Index (CHU-9D) in children with oral diseases.

OBJECTIVE: Accurate assessment of child oral health is important for guiding economic evaluations and informing healthcare decision-making. Early Childhood Oral Health Impact Scale (ECOHIS-4D) is a preference-based instrument that measures the oral health-related quality of life of young children. The aim of this study was to compare the utility scores of ECOHIS-4D and Child Health Utility Index (CHU-9D), against an oral health indicator to evaluate which utility score corresponds better with the oral health indicator. METHOD: The ECOHIS-4D and CHU-9D were applied to 314 parent/child dyads from preschools in a primary healthcare setting in Perth, Western Australia. Four parameters were used to assess which instrument corresponds better with the oral health indicator (decayed, missing and filled teeth score-dmft score): (i) discrimination, the ability to discriminate between different clinical severity groups, (ii) external responsiveness, how much the utility values relate to the changes in dmft scores, (iii) correlation, the association between the two instruments and the related dimensions and (iv) differences in the utility values across the two instruments. RESULTS: Most participants (81%) were 2-6 years old, and nearly 50% had a dmft score <3. ECOHIS-4D demonstrated a superior ability to differentiate between dmft severity groups and respond to changes in dmft scores. A significant weak correlation was observed between dmft and ECOHIS-4D (-0.26, 95%, CI -0.36 to -0.15) compared to a non-significant very poor correlation between dmft and CHU-9D (0.01, 95% CI -0.12 to 0.10). The utility scores of the two instruments had relatively good agreement towards good health and weak agreement towards poor health. CONCLUSIONS: ECOHIS-4D, the oral health-specific instrument, is more sensitive in assessing children's oral health-related quality of life than the generic CHU-9D. Thus, ECOHIS-4D is more appropriate for utility estimates in economic evaluations of oral health-related interventions and resource allocation decision-making.

Valuing the Dental Caries Utility Index in Australia.

INTRODUCTION: The Dental Caries Utility Index (DCUI) is a new oral health-specific health state classification system for adolescents, consisting of 5 domains: pain/discomfort, difficulty eating food/drinking, worried, ability to participate in activities, and appearance. Each domain has 4 response levels. This study aims to generate an Australian-specific utility algorithm for the DCUI. METHODS: An online survey was conducted using a representative sample of the adult Australian general population. The discrete choice experiment (DCE) was used to elicit the preferences on 5 domains. Then, the latent utilities were anchored onto the full health-dead scale using the visual analogue scale (VAS). DCE data were modeled using conditional logit, and 2 anchoring procedures were considered: anchor based on the worst health state and a mapping approach. The optimal anchoring procedure was selected based on the model parsimony and the mean absolute error (MAE). RESULTS: A total of 995 adults from the Australian general population completed the survey. The conditional logit estimates on 5 dimensions and levels were monotonic and statistically significant, except for the second level of the "worried" and "appearance" domains. The mapping approach was selected based on a smaller MAE between the 2 anchoring procedures. The Australian-specific tariff of DCUI ranges from 0.1681 to 1. CONCLUSION: This study developed a utility algorithm for the DCUI. This value set will facilitate utility value calculations from the participants' responses for DCUI in economic evaluations of dental caries interventions targeted for adolescents. HIGHLIGHTS: Preference-based quality-of-life measures (PBMs), which consist of a health state classification system and a set of utility values (a scoring algorithm), are used to generate utility weights for economic evaluations.This study is the first to develop an Australian utility value set for the Dental Caries Utility Index (DCUI), a new oral health-specific classification system for adolescents.The availability of a utility value set will enable using DCUI in economic evaluations of oral health interventions targeted for adolescents and may ultimately lead to more effective and efficient planning of oral health care services.

Cancer Survivor Preferences for Models of Breast Cancer Follow-Up Care: Selecting Attributes for Inclusion in a Discrete Choice Experiment.

BACKGROUND AND OBJECTIVE: It is critical to evaluate cancer survivors' preferences when developing follow-up care models to better address the needs of cancer survivors. This study was conducted to understand the key attributes of breast cancer follow-up care for use in a future discrete choice experiment (DCE) survey. METHODS: Key attributes of breast cancer follow-up care models were generated using a multi-stage, mixed-methods approach. Focus group discussions were conducted with cancer survivors and clinicians to generate a range of attributes of current and ideal follow-up care. These attributes were then prioritised using an online survey with survivors and healthcare providers. The DCE attributes and levels were finalised via an expert panel discussion based on the outcomes of the previous stages. RESULTS: Four focus groups were held, two with breast cancer survivors (n = 7) and two with clinicians (n = 8). Focus groups generated sixteen attributes deemed important for breast cancer follow-up care models. The prioritisation exercise was conducted with 20 participants (14 breast cancer survivors and 6 clinicians). Finally, the expert panel selected five attributes for a future DCE survey tool to elicit cancer survivors' preferences on breast cancer follow-up care. The final attributes included: the care team, allied health and supportive care, survivorship care planning, travel for appointments, and out-of-pocket costs. CONCLUSIONS: Attributes identified can be used in future DCE studies to elicit cancer survivors' preferences for breast cancer follow-up care. This strengthens the design and implementation of follow-up care programs that best suit the needs and expectations of breast cancer survivors.

Developing an Australian utility value set for the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) using a discrete choice experiment.

PURPOSE: Preference-based quality of life measures (PBMs) are used to generate quality-adjusted life years (QALYs) in economic evaluations. A PBM consists of (1) a health state classification system and (2) a utility value set that allows the instrument responses to be converted to QALYs. A new, oral health-specific classification system, the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) has recently been developed. The aim of this study was to generate an Australian utility value set for the ECOHIS-4D. METHODS: A discrete choice experiment with duration (DCETTO) was used as the preference elicitation technique. An online survey was administered to a representative sample of Australian adults over 18 years. Respondents were given 14 choice tasks (10 tasks from the DCE design of 50 choice sets blocked into five blocks, 2 practice tasks, a repeated and a dominant task). Data were analyzed using the conditional logit model. RESULTS: A total of 1201 respondents from the Australian general population completed the survey. Of them, 69% (n = 829) perceived their oral health status to be good, very good, or excellent. The estimated coefficients from the conditional logit models were in the expected directions and were statistically significant (p < 0.001). The utility values for health states defined by the ECOHIS-4D ranged from 0.0376 to 1.0000. CONCLUSIONS: This newly developed utility value set will enable the calculation of utility values for economic evaluations of interventions related to oral diseases such as dental caries among young children. This will facilitate more effective resource allocation for oral health services.

Development of a classification (descriptive) system for a preference-based quality of life measure for dental caries (dental caries utility index) among adolescents.

OBJECTIVES: Preference-based quality-of-life measures (PBMs) have been developed in many clinical areas to aid estimation of more accurate utility values for economic evaluations. Existing oral health-related quality-of-life (OHRQoL) instruments are non-PBM and hence, cannot be used to generate utility values. The objective of this study was to develop a classification system for a new PBM (dental caries utility index-DCUI) for the most prevalent childhood oral health condition: dental caries. METHODS: Possible domains and items to be included in the classification system were identified based on the reviewing available pediatric non-PBM OHRQoL instruments, studies eliciting utility values for oral health outcomes and clinical dentistry textbooks and based on the findings, a draft classification system was developed. To refine the draft classification system, semi-structured interviews were conducted among a convenience sample of 15 12-17-year-old adolescents who had experience with dental caries. The classification system was further refined and validated by a group of dental experts, using a modified Delphi technique. RESULTS: The classification system comprised five items (pain/discomfort, difficulty in eating food/drinking, worried, ability to participate in activities, and appearance) and each item had a four-level response scale. CONCLUSION: The classification system developed herein is considered an amenable tool for the subsequent development of a new PBM for dental caries. Once the scoring algorithm is completed, the classification system can be used to incorporate economic evaluations of dental caries health interventions.

A scoping review of cost-effectiveness analyses of school-based interventions for caries.

OBJECTIVES: The aims of this study were to: identify the evidence on cost-effectiveness of school-based interventions for caries prevention globally up to 2019; summarize key characteristics of interventions applied within this setting; summarize the reporting quality of previous studies; and to identify and analyse knowledge gaps. METHODS: A scoping review of published literature on the cost-effectiveness of school-based interventions to prevent child tooth decay was conducted. A search in Medline, Cinahl and Embase was performed with no date restriction. Reporting quality of the included studies was assessed against Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. RESULTS: Of the 738 records identified in the initial search, 15 studies met the pre-specified inclusion criteria. The majority were published after 2011 (n = 9,) and applied to high-income countries (n = 12). Nearly 80% of the studies assessed the cost-effectiveness of the interventions based on topical fluoride therapies and fissure sealants at school premises. Although, the outcome measures differed across the studies, almost all the caries preventive interventions were cost-saving or cost-effective when compared with usual care. Compliance with the CHEERS checklist differed. CONCLUSIONS: There is evidence to suggest that school-based caries preventive interventions are cost-effective, and in some cases cost-saving. Further evidence is required from low- to middle-income countries to confirm the generalizability of these findings. Future studies should consider adopting Quality Adjusted Life Years as a generic outcome measure that would enable the cost-effectiveness findings to be compared across different types of interventions and diseases. Improved standardization and quality of reporting are also required.

Pediatric Quality of Life Instruments in Oral Health Research: A Systematic Review.

OBJECTIVE: To identify the generic or disease-specific pediatric quality of life (QoL) instruments used in oral health research among children and adolescents and to provide an overview of these QoL instruments. METHODS: A systematic literature search was performed with multiple databases to identify the pediatric QoL instruments used in oral health research. RESULTS: The literature search yielded 872 records; from these, 16 pediatric QoL instruments were identified that had been used among children and adolescents in oral health research. Of these, 11 were oral health-specific QoL instruments and five were generic instruments. Of the 11 oral health-specific QoL instruments, none were multiattribute utility instruments (MAUI), whereas of the five generic instruments, two (Child Health Utility 9D index and EuroQoL-5D youth) were classified as an MAUI. Except for one, all pediatric QoL instruments were published after the year 2000 and the majority originated from the USA (n = 8). Of the 11 oral health-specific QoL instruments, five instruments are designed for the respondent to be a child (i.e., self-report), one uses proxy responses from a parent or guardian, and five instruments have both self and proxy versions. Of the five generic QoL instruments, one uses proxy responses and the other four instruments have both self and proxy versions. CONCLUSIONS: This review identified a wide variety of pediatric oral health-specific and generic QoL instruments used in oral health research among children and adolescents. The availability of these QoL instruments provides researchers with the opportunity to select the instrument most suited to address their research question.

The cost-effectiveness of oral health interventions: A systematic review of cost-utility analyses.

OBJECTIVES: To assess the usage of cost-utility analysis (CUA) in oral health interventions and to evaluate the methods used and the reporting quality of CUA in publications on oral health interventions. METHODS: A systematic review was performed on literature published between 2000 and 2016 where cost-utility analyses of oral health interventions were included. The reporting quality of these oral health CUAs was assessed against the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. RESULTS: Of the 6637 publications identified initially, 23 met the inclusion criteria. Of these, 14 (61%) had been published in the last 6 years. Included studies were on oral cancer (n = 6), provision of dental prosthesis (n = 6), dental caries (n = 4), periodontal diseases (n = 3), antibiotic prophylaxis (n = 2), dento-facial anomalies (n = 1) and dental service provision (n = 1). Twenty-one studies were able to identify the most cost-effective intervention among the different options compared. Of the 23 studies identified, 15 (65%) used quality-adjusted life years (QALY) as the outcome measure, and 18 (78%) reported an incremental cost-effectiveness ratio. The economic perspective was clearly stated in 13 articles (57%). Twenty studies (87%) reported the discount rate, and 22 (96%) undertook sensitivity analysis. The reporting quality of studies, appraised by the CHEERS checklist, varied from 75% to 100% (median 92%). CONCLUSION: The use of CUAs in evaluation of oral health interventions has been increasing recently, especially from 2011 to 2016. The majority of CUA articles were of good reporting quality as assessed by the CHEERS checklist and were able to provide conclusions regarding the most cost-effective intervention among the different options compared: this will assist in healthcare decision-making and resource allocation. These positive outcomes of our study encourage wider use of CUAs within the dental and oral health professions.