Preterm Birth and Total Health Care Use and Costs in the First 5 Years of Life: A Population-based Study.

OBJECTIVES: To investigate the relationship between preterm birth and hospital/out-of-hospital care and costs over the first 5 years of life. STUDY DESIGN: Birth data from a population-based cohort of 631 532 infants born between 2007 and 2013 were linked probabilistically with data on hospitalizations, primary and secondary care, and the use of medications. We analyzed the distribution of health care use and public health care costs for infants who survived at least 5 years, comparing the outcomes of extremely preterm (<28 weeks of gestation), very preterm (28-32 weeks), moderate to late preterm (32-37 weeks), and term infants (at least 37 weeks). A linear regression model was used to investigate the effect of preterm birth on these outcomes, controlling for important confounders including pregnancy and birth complications, neonatal morbidity, survival, and maternal socioeconomic characteristics. RESULTS: Preterm birth has a statistically significant and economically relevant effect on health care use and costs in the first 5 years of life. Compared with a term infant, preterm infants born at 32-36 weeks, 28-32 weeks, and <28 weeks of gestation had, respectively, an average of 7.0 (SE 0.06), 41.6 (0.18), and 68.7 (0.35) more hospital days; 3.1 (0.04), 11.0 (0.13), and 13.2 (0.25) more outpatient specialist physician visits; and 1.2-fold (<0.01), 6.8-fold (0.01), and 10.9-fold (0.02) higher 5-year public health care costs. Preterm infants also had statistically significantly higher levels of general practitioner visits and use of medications. CONCLUSIONS: Higher levels of accessible care are needed for preterm infants across health care settings and over sustained periods. As our understanding of the impact of preterm birth on long-term clinical outcomes continues to improve, clinicians and policymakers should develop an accurate recognition of these needs to enable appropriate resource allocation toward research priorities and early intervention strategies.

Towards Optimizing Hospitalized Older adults' MEdications (TO HOME): Multi-centre study of medication use and outcomes in routine care.

AIMS: Comprehensively investigate prescribing in usual care of hospitalized older people with respect to polypharmacy; potentially inappropriate medications (PIMs) according to Beers criteria; and cumulative anticholinergic and sedative medication exposure calculated with Drug Burden Index (DBI). Specifically, to quantify exposure to these measures on admission, changes between admission and discharge, associations with adverse outcomes and medication costs. METHODS: Established new retrospective inpatient cohort of 2000 adults aged ≥75 years, consecutively admitted to 6 hospitals in Sydney, Australia, with detailed information on medications, clinical characteristics and outcomes. Conducted cross-sectional analyses of index admission data from cohort. RESULTS: Cohort had mean (standard deviation) age 86.0 (5.8) years, 59% female, 21% from residential aged care. On admission, prevalence of polypharmacy was 77%, PIMs 34% and DBI > 0 in 53%. From admission to discharge, mean difference (95% confidence interval) in total number of medications increased 1.05 (0.92, 1.18); while prevalence of exposure to PIMs (-3.8% [-5.4, -2.1]) and mean DBI score (-0.02 [-0.04, -0.01]) decreased. PIMs and DBI score were associated with increased risks (adjusted odds ratio [95% confidence interval]) of falls (PIMs 1.63 [1.28, 2.08]; DBI score 1.21[1.00, 1.46]) and delirium (PIMs 1.76 [1.38, 1.46]; DBI score 1.42 [1.19, 1.71]). Each measure was associated with increased risk of adverse drug reactions (polypharmacy 1.42 [1.19, 1.71]; PIMs 1.87 [1.40, 2.49]; DBI score 1.90 [1.55, 2.15]). Cost (AU$/patient/hospital day) of medications contributing to PIMs and DBI was low ($0.29 and $0.88). CONCLUSION: In this large cohort of older inpatients, usual hospital care results in an increase in number of medications and small reductions in PIMs and DBI, with variable associations with adverse outcomes.

Assessing Outcomes for Cost-Utility Analysis in Children and Adolescents With Mental Health Problems: Are Multiattribute Utility Instruments Fit for Purpose?

OBJECTIVES: The objective of this study was to compare the concurrent and construct validity, as well as the sensitivity of 5 multiattribute utility instruments (MAUIs), including the Assessment of Quality of Life-6D (AQoL-6D), EQ-5D-Y, Health Utilities Index (HUI)-2 and HUI-3, and the Child Health Utility 9D, 1 generic pediatric quality of life instrument, with 3 routinely collected outcome measures in Australian mental health services (Strengths and Difficulties Questionnaire, Clinical Global Assessment Scale [CGAS] and the Health of the Nation Outcome Scale for Children and Adolescents) in children and adolescents diagnosed of internalizing (eg, anxiety/depression), externalizing (eg, attention deficit hyperactivity disorder/conduct disorders), and trauma/stress related mental disorders. METHODS: A cross-sectional survey of measures, including demographic and basic treatment information, in children/adolescents recruited via 5 child and youth mental health services in Queensland and Victoria, Australia. Measures were either proxy or self-report completed, the CGAS and the Health of the Nation Outcome Scale for Children and Adolescents were clinician completed. RESULTS: The sample included 426 participants and had a mean age of 13.7 years (range 7-18 years). Utilities (as calculated from MAUIs) were generally lower in older adolescents and those with internalizing disorders. All MAUIs and self-reported clinical measures significantly correlated with each other (absolute correlation range 0.40-0.90), with the AQoL-6D showing generally higher levels of correlations. Correlations between the MAUIs and clinician/proxy-reported measures were weak, regardless of diagnosis (absolute correlation range 0.09-0.47). Generally, EQ-5D-Y, HUI-2, and AQoL-6D were more sensitive than Child Health Utility 9D and HUI-3 when distinguishing between different severities according to clinician-assessed CGAS (effect size range 0.17-0.84). CONCLUSIONS: The study showed that the commonly used MAUIs had good concurrent and construct validity compared with routinely used self-complete measures but poor validity when compared with clinician/proxy-completed measures. These findings generally held across different diagnoses.

Feasibility of self-reported health related quality of life assessment with older people in residential care: insights from the application of eye tracking technology.

PURPOSE: Increasingly there are calls to routinely assess the health-related quality of life (HRQoL) of older people receiving aged care services, however the high prevalence of dementia and cognitive impairment remains a challenge to implementation. Eye-tracking technology facilitates detailed assessment of engagement and comprehension of visual stimuli, and may be useful in flagging individuals and populations who cannot reliably self-complete HRQoL instruments. The aim of this study was to apply eye-tracking technology to provide insights into self-reporting of HRQoL among older people in residential care with and without cognitive impairment. METHODS: Residents (n = 41), recruited based on one of three cognition subgroups (no, mild, or moderate cognitive impairment), completed the EQ-5D-5L on a computer with eye tracking technology embedded. Number and length of fixations (i.e., eye gaze in seconds) for key components of the EQ-5D-5L descriptive system were calculated. RESULTS: For all dimensions, participants with no cognitive impairment fixated for longer on the Area of Interest (AOI) for the response option they finally chose, relative to those with mild or moderate cognitive impairment. Participants with cognitive impairment followed similar fixation patterns to those without. There was some evidence that participants with cognitive impairment took longer to complete and spent relatively less time attending to the relevant AOIs, but these differences did not reach statistical significance generally. CONCLUSIONS: This exploratory study applying eye tracking technology provides novel insights and evidence of the feasibility of self-reported HRQoL assessments in older people in aged care settings where cognitive impairment and dementia are highly prevalent.

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.

Expanding health technology assessment towards broader value: Ireland as a case study.

Healthcare innovations often represent important improvements in population welfare, but at what cost, and to whom? Health technology assessment (HTA) is a multidisciplinary process to inform resource allocation. HTA is conventionally anchored on health maximization as the only relevant output of health services. If we accept the proposition that health technologies can generate value outside the healthcare system, resource allocation decisions could be suboptimal from a societal perspective. Incorporating "broader value" in HTA as derived from social values and patient experience could provide a richer evaluative space for informing resource allocation decisions. This article considers how HTA is practiced and what its current context implies for adopting "broader value" to evaluating health technologies. Methodological challenges are highlighted, as is a future research agenda. Ireland serves as an example of a healthcare system that both has an explicit role for HTA and is evolving under a current program of reform to offer universal, single-tier access to public services. There are various ways in which HTA processes could move beyond health, including considering the processes of care delivery and/or expanding the evaluative space to some broader concept of well-being. Methods to facilitate the latter exist, but their adaptation to HTA is still emerging. We recommend a multi-stakeholder working group to develop and advance an international agenda for HTA that captures welfare/benefit beyond health.

The FACT-8D, a new cancer-specific utility algorithm based on the Functional Assessment of Cancer Therapies-General (FACT-G): a Canadian valuation study.

INTRODUCTION: Utility instruments are used to assess patients' health-related quality of life for cost-utility analysis (CUA). However, for cancer patients, the dimensions of generic utility instruments may not capture all the information relevant to the impact of cancer. Cancer-specific utilities provide a useful alternative. Under the auspices of the Multi-Attribute Utility in Cancer Consortium, a cancer-specific utility algorithm was derived from the FACT-G. The new FACT-8D contains eight dimensions: pain, fatigue, nausea, sleep, work, support from family/friends, sadness, and worry health will get worse. The aim of the study was to obtain a Canadian value set for the FACT-8D. METHODS: A discrete choice experiment was administered to a Canadian general population online panel, quota sampled by age, sex, and province/territory of residence. Respondents provided responses to 16 choice sets. Each choice set consisted of two health states described by the FACT-8D dimensions plus an attribute representing survival duration. Sample weights were applied and the responses were analyzed using conditional logistic regression, parameterized to fit the quality-adjusted life year framework. The results were converted into utility weights by evaluating the marginal rate of substitution between each level of each FACT-8D dimension with respect to duration. RESULTS: 2228 individuals were recruited. The analysis dataset included n = 1582 individuals, who completed at least one choice set; of which, n = 1501 completed all choice sets. After constraining to ensure monotonicity in the utility function, the largest decrements were for the highest levels of pain (- 0.38), nausea (- 0.30), and problems doing work (- 0.23). The decrements of the remaining dimensions ranged from - 0.08 to - 0.18 for their highest levels. The utility of the worst possible health state was defined as - 0.65, considerably worse than dead. CONCLUSIONS: The largest impacts on utility included three generic dimensions (i.e., pain, support, and work) and nausea, a symptom caused by cancer (e.g., brain tumours, gastrointestinal tumours, malignant bowel obstruction) and by common treatments (e.g., chemotherapy, radiotherapy, opioid analgesics). This may make the FACT-8D more informative for CUA evaluating in many cancer contexts, an assertion that must now be tested empirically in head-to-head comparisons with generic utility measures.

Evidence on the relationship between PROMIS-29 and EQ-5D: a literature review.

PURPOSE: EQ-5D and PROMIS-29 are both concise, generic measures of patient-reported outcomes accompanied by preference weights that allow the estimation of quality-adjusted life years (QALYs). Both instruments are candidates for use in economic evaluation. However, they have different features in terms of the domains selected to measure respondents' self-perceived health and the characteristics of (and methods used to obtain) the preference weights. It is important to understand the relationship between the instruments and the implications of choosing either for the evidence used in decision-making. This literature review aimed to synthesise existing evidence on the relationship between PROMIS-29 (and measures based on it, such as PROMIS-29+2) and EQ-5D (both EQ-5D-3L and EQ-5D-5L). METHODS: A literature review was conducted in PubMed and Web of Science to identify studies investigating the relationship between PROMIS-29 and EQ-5D-based instruments. RESULTS: The literature search identified 95 unique studies, of which nine studies met the inclusion criteria, i.e. compared both instruments. Six studies examined the relationship between PROMIS-29 and EQ-5D-5L. Three main types of relationship have been examined in the nine studies: (a) comparing PROMIS-29 and EQ-5D as descriptive systems; (b) mapping PROMIS-29 domains to EQ-5D utilities; and (c) comparing and transforming PROMIS-29 utilities to EQ-5D utilities. CONCLUSION: This review has highlighted the lack of evidence regarding the relationship between PROMIS-29 and EQ-5D. The impact of choosing either instrument on the evidence used in cost-effectiveness analysis is currently unclear. Further research is needed to understand the relationship between the two instruments.

Responses to direct-to-consumer advertising in Australia: Comparing experience.

AbsractThis paper examines the potential effect of Direct-to-Consumer (DTC) advertising on consumers' behavioral intentions in relation to a medical issue. Using an online experiment, 1295 people were randomized to two information conditions. One group watched an advertisement for a hypothetical cold sore medicine, while a second (control) group did not view the advertisement, before both groups answered questions on symptoms. The responses were analyzed based on group allocation and the respondents' experience with cold sores. Results indicate that those who viewed the advertisement were more likely to choose the product, and the advertisement had larger effects based on consumer experience.

Patient Preferences for Anxiety and Depression Screening in Cancer Care: A Discrete Choice Experiment.

OBJECTIVES: Screening for anxiety and depression in cancer care is recommended, as identification is the first step in managing anxiety and depression. Nevertheless, patient preferences for anxiety and depression screening in cancer care are unknown. The objective of this study was to investigate and identify the aspects of an anxiety and depression screening program cancer patients value most, to inform decision-makers about ways to improve patient uptake and ultimately, the provision of patient-centered care. METHODS: A discrete choice experiment was designed and implemented within an Australian cancer population sample. Participants were presented with a series of hypothetical screening programs labeled as "screening program 1" and "screening program 2" and were asked to choose their preferred one. The discrete choice experiment was administered using an online survey platform. A mixed logit and a latent class analysis was conducted. RESULTS: Participants (n = 294) preferred screening to be conducted by a cancer nurse, face-to-face, and at regular intervals (monthly or every 3 months). Participants also preferred follow-up care to be delivered by mental health professionals embedded within the cancer care team. Factors that influenced preferences were the low cost and short waiting times for access to care. CONCLUSIONS: Cancer patients prefer cancer services with integrated mental healthcare services. To maximize patient uptake, anxiety and depression screening programs should be routinely offered, delivered by oncology healthcare staff in a face-to-face format, and, postscreening, to be care for by mental health professionals embedded within the cancer service.

The Functional Assessment of Cancer Therapy Eight Dimension (FACT-8D), a Multi-Attribute Utility Instrument Derived From the Cancer-Specific FACT-General (FACT-G) Quality of Life Questionnaire: Development and Australian Value Set.

OBJECTIVES: To develop a cancer-specific multi-attribute utility instrument derived from the Functional Assessment of Cancer Therapy - General (FACT-G) health-related quality of life (HRQL) questionnaire. METHODS: We derived a descriptive system based on a subset of the 27-item FACT-G. Item selection was informed by psychometric analyses of existing FACT-G data (n = 6912) and by patient input (n = 82). We then conducted an online valuation survey, with participants recruited via an Australian general population online panel. A discrete choice experiment (DCE) was used, with attributes being the HRQL dimensions of the descriptive system and survival duration, and 16 choice-pairs per participant. Utility decrements were estimated with conditional logit and mixed logit modeling. RESULTS: Eight HRQL dimensions were included in the descriptive system: pain, fatigue, nausea, sleep, work, social support, sadness, and future health worry; each with 5 levels. Of 1737 panel members who accessed the valuation survey, 1644 (95%) completed 1 or more DCE choice-pairs and were included in analyses. Utility decrements were generally monotonic; within each dimension, poorer HRQL levels generally had larger utility decrements. The largest utility decrements were for the highest levels of pain (-0.40) and nausea (-0.28). The worst health state had a utility of -0.54, considerably worse than dead. CONCLUSIONS: A descriptive system and preference-based scoring approach were developed for the FACT-8D, a new cancer-specific multi-attribute utility instrument derived from the FACT-G. The Australian value set is the first of a series of country-specific value sets planned that can facilitate cost-utility analyses based on items from the FACT-G and related FACIT questionnaires containing FACT-G items.

Clinical assessment of chemotherapy-induced peripheral neuropathy: a discrete choice experiment of patient preferences.

PURPOSE: Up to 40% of cancer patients treated with neurotoxic chemotherapies experience chemotherapy-induced peripheral neuropathy (CIPN). Currently, there is no gold standard assessment tool for CIPN and there is little information in the literature on patient preferences for such assessments. This study aims to address this gap by identifying the features of a CIPN assessment tool that cancer patients value. METHODS: An online discrete choice experiment (DCE) survey of neurotoxic chemotherapy-treated patients was implemented. Respondents completed 8 choice questions each. In each choice question, they chose between two hypothetical CIPN assessment tools, each described by six attributes: impact on quality of life; level of nerve damage detected; questionnaire length; physical tests involved; impact on clinic time; impact on care. RESULTS: The survey was completed by 117 respondents who had a range of cancers of which breast cancer was the most common. Respondents favoured an assessment tool that includes a physical test and that asks about impact on quality of life. Respondents were strongly opposed to clinicians, alone, deciding how the results of a CIPN assessment might influence their care especially their chemotherapy treatment. They were concerned about small changes in their CIPN, independent of clinical relevance. Respondents were willing to add half an hour to the usual clinic time to accommodate the CIPN assessment. CONCLUSION: The findings of this DCE will assist clinicians in choosing an assessment tool for CIPN that is satisfactory to both clinician and patient.

Modelling the cost of place of birth: a pathway analysis.

BACKGROUND: In New South Wales (NSW), Australia there are three settings available for women at low risk of complications to give birth: home, birth centre and hospital. Between 2000 and 2012, 93.6% of babies were planned to be born in hospital, 6.0% in a birth centre and 0.4% at home. Availability of alternative birth settings is limited and the cost of providing birth at home or in a birth centre from the perspective of the health system is unknown. OBJECTIVES: The objective of this study was to model the cost of the trajectories of women who planned to give birth at home, in a birth centre or in a hospital from the public sector perspective. METHODS: This was a population-based study using linked datasets from NSW, Australia. Women included met the following selection criteria: 37-41 completed weeks of pregnancy, spontaneous onset of labour, and singleton pregnancy at low risk of complications. We used a decision tree framework to depict the trajectories of these women and Australian Refined-Diagnosis Related Groups (AR-DRGs) were applied to each trajectory to estimate the cost of birth. A scenario analysis was undertaken to model the cost for 30 000 women in one year. FINDINGS: 496 387 women were included in the dataset. Twelve potential outcome pathways were identified and each pathway was costed using AR-DRGs. An overall cost was also calculated by place of birth: $AUD4802 for homebirth, $AUD4979 for a birth centre birth and $AUD5463 for a hospital birth. CONCLUSION: The findings from this study provides some clarity into the financial saving of offering more options to women seeking an alternative to giving birth in hospital. Given the relatively lower rates of complex intervention and neonatal outcomes associated with women at low risk of complications, we can assume the cost of providing them with homebirth and birth centre options could be cost-effective.

How Are Debriefing Questions Used in Health Discrete Choice Experiments? An Online Survey.

OBJECTIVES: Debriefing questions can assess if respondents understand discrete choice experiments (DCEs) and are answering in a way consistent with theories of decision making and utility maximization. Nevertheless, there is limited literature about how often debriefing questions are included or how the results are used in health economics. The aim of this study was to conduct a survey of the frequency, type, and analysis of debriefing questions in health DCEs. METHODS: We conducted an online survey of authors of published health DCEs, asking about their use of debriefing questions, including frequency, type, and analysis. We descriptively analyzed the sample characteristics and responses. Free-text questions were analyzed with qualitative thematic analysis. RESULTS: We received 70 responses (43% response rate), of which 50% reported using debriefing questions. They were most commonly designed to assess difficulty (91%), understanding (49%), and attribute nonattendance (31%) rather than learning effects (3%) or monotonicity (11%). On average, 37% of debriefing questions were analyzed (range, 0% to 69%), and the results were used <50% of the time, usually to exclude respondents or interpret overall results. Researcher experience or confidence with DCEs did not affect their use of debriefing questions. CONCLUSIONS: These results suggest that although half of researchers conducting health DCEs use debriefing questions, many do not analyze, use, or report the responses. Given the additional respondent burden, there is a need for reliable and valid debriefing questions. In the meantime, the inclusion, analysis, and reporting of debriefing questions should be carefully considered before DCE implementation.

Financial toxicity of childhood cancer and changes to parents' employment after treatment completion.

OBJECTIVE: Childhood cancer can have short- and long-term impacts on parents' finances and employment. It is important to understand how families adjust to the financial and employment changes caused by childhood cancer, the ongoing impacts after treatment completion, and which families need more targeted support. Qualitative research is necessary to facilitate an in-depth understanding of the employment and financial impacts on families and to capture parents' complex and nuanced experiences and perspectives. METHODS: We interviewed 56 parents of childhood cancer survivors (M = 2.13 years after treatment completion; 89% mothers) using the vocational and financial impact section of the Psychosocial Adjustment to Illness Scale-Carer Interview Form. We analyzed interviews using content analysis. RESULTS: Parents reported multiple sources of financial toxicity including travel to and from the hospital and needing to reduce their working hours during their child's cancer treatment. Workplace flexibility was an important factor to protect against unwanted vocational changes. After treatment completion, families living in low socioeconomic areas commonly reported ongoing financial difficulties. Mothers, particularly those who were on maternity leave when their child was diagnosed with cancer, reported ongoing employment impacts including unemployment. CONCLUSIONS: Clinical staff including social workers could more consistently assess families' financial distress and refer to professional services who can offer guidance for financial decision-making as standard care. Flexible workplace agreements appear important for parents of children with cancer. Our findings can assist organizations to understand that cancer-related disruptions are likely to continue after treatment completion, and therefore should offer benefits to parents where possible.

What Matters 2 Adults: a study protocol to develop a new preference-based wellbeing measure with Aboriginal and Torres Strait Islander adults (WM2Adults).

BACKGROUND: Understandings of health and wellbeing are culturally bound. Many Aboriginal and Torres Strait Islander people perceive wellbeing and quality of life (QOL) differently from the Western biomedical models of health underpinning existing QOL instruments. Any instrument to measure the wellbeing of Aboriginal and Torres Strait Islander people should be culturally appropriate and safe, include relevant dimensions, and be informed by their own values and preferences. Existing QOL instruments do not meet these standards. This study will generate a new preference-based wellbeing measure, WM2Adults, for Aboriginal and Torres Strait Islander adults, underpinned by their values and preferences. METHODS: A mixed methods approach will be used; we will employ decolonising methodologies, privilege Aboriginal and Torres Strait Islander voices and perspectives, and adopt a strengths-based approach rather than a deficit lens. Yarning Circles will be conducted with Aboriginal and Torres Strait Islander people across Australia. A candidate item pool will be developed from these data, on which psychometric analysis and validity testing will be undertaken to develop a descriptive system. Following finalisation of the descriptive system, wellbeing states will be valued using a quantitative preference-based approach (best-worst scaling) with a diverse sample of Aboriginal and Torres Strait Islander adults (n = 1000). A multinomial (conditional) logit framework will be used to analyse responses and generate a scoring algorithm for the new preference-based WM2Adults measure. DISCUSSION: The new wellbeing measure will have wide applicability in assessing the effectiveness and cost-effectiveness of new programs and services for Aboriginal and Torres Strait Islander people. Results will be disseminated through journals, conferences and policy forums, and will be shared with Aboriginal and Torres Strait Islander communities, organisations and research participants.

Academic achievement and productivity losses associated with speech, language and communication needs.

BACKGROUND: Childhood speech, language and communication needs (SLCN) impose a significant burden on individuals, families and society. There are explicit costs related to increased health utilization and expenditure. Additionally, there may be indirect costs associated with a child's employment prospects in the long term because of the child's low literacy and numeracy, which in turn affects adult labour force participation (LFP). Several reviews have identified that there is paucity of published evidence on the costs of SLCN. Motivated by broad policy implications, and the lack of prior research in this area, this paper calculates the indirect costs and workplace productivity losses of children with SLCN. AIMS: To estimate the indirect costs of SLCN associated with a child's reduced long-term productivity. METHODS & PROCEDURES: Using 12 years of data from a longitudinal study of Australian children, we employed a panel fixed-effects model to estimate academic achievement at 14-15 years of age. Using these estimates, we employed a human capital approach (HCA) to estimate the projected LFP for children with SLCN, measured by workforce participation and foregone wages. LFP is estimated by extrapolating a child's academic achievement at 14-15 years of age to adulthood outcomes. OUTCOMES & RESULTS: The results showed that a 1 SD (standard deviation) decrease in SLCN is equivalent to 0.19 (95% confidence interval (CI) = 0.09, 0.30) SD decrease in academic achievement at 14-15 years, 0.79% (95% CI = 0.37, 1.21) decrease in work participation and A$453 (95% CI = A$207, A$674) per annum in lost wages. The average work participation penalty across all level of SLCN (-3, -2, -1) is A$628 (95% CI = A$236, A$894) per person per year. Based on the prevalence of 8.3% from our sample, this equates to lifetime costs of A$21.677 billion (US$14.28 billion, €13.08 billion, £11.66 billion) for children with SLCN in Australia. Speech pathology treatment appears to have a positive impact on work participation and wages. On average A$355 (95% CI = A$346, A$355) per person per year could be saved through treatment or identification (the difference in lost wages for children with and without speech pathology treatment at each SLCN level (-1, -2 ,-3) calculated as a weighted average). This equates to lifetime savings of A$5.22 billion (US$3.44 billion, €3.15 billion, £2.81 billion) for children with SLCN in Australia. CONCLUSIONS & IMPLICATIONS: Overall, the findings showed that SLCN are associated with increased indirect costs through reduced workforce participation. The evidence from this study can be used to inform policies on the societal costs of SLCN. What this paper adds What is already known on this subject Childhood SLCN impose significant burden on individuals, families and society. There are explicit costs related to increased health utilization and expenditure. Additionally, there may be indirect costs associated with a child's employment prospects in the long term because of the child's low literacy and numeracy, which in turn affects adult LFP. Several reviews have identified that there is paucity of published evidence on the costs of SLCN. Motivated by broad policy implications, and the lack of prior research in this area, this paper calculates the indirect costs and workplace productivity losses of children with SLCN. What this paper adds to existing knowledge This study estimates the academic achievement and indirect costs of SLCN associated with a child's reduced long-term productivity. Using 12 years of data from a longitudinal study of Australian children, we employed a panel fixed-effects model to estimate academic achievement at 14-15 years of age. Using these estimates, we used a human capital approach to estimate the projected LFP for children with SLCN, measured by workforce participation and foregone wages. LFP is estimated by extrapolating a child's academic achievement at 14-15 years of age to adulthood outcomes. What are the potential or actual clinical implications of this work? SLCN are associated with increased indirect costs through reduced workforce participation. The evidence from this study provides one of the first indirect cost estimates of how SLCN impacts LFP through educational achievement. Early identification, intervention and screening for SLCN may be useful offsets to reduce the economic effects identified here.

U.K. utility weights for the EORTC QLU-C10D.

The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the widely used cancer-specific quality of life questionnaire, EORTC QLQ-C30. It contains 10 dimensions (physical functioning, role functioning, social functioning, emotional functioning, pain, fatigue, sleep, appetite, nausea, bowel problems), each with four levels. The aim of this study was to provide U.K. general population utility weights for the QLU-C10D. A U.K. online panel was quota-sampled to align the sample to the general population proportions of sex and age (≥18 years). The online valuation survey included a discrete choice experiment (DCE). Each participant was asked to complete 16 choice-pairs, each comprising two QLU-C10D health states plus duration. DCE data were analysed using conditional logistic regression to generate utility weights. Data from 2,187 respondents who completed at least one choice set were included in the DCE analysis. The final U.K. QLU-C10D utility weights comprised decrements for each level of each health dimension. For nine of the 10 dimensions (all except appetite), the expected monotonic pattern was observed across levels: Utility decreased as severity increased. For the final model, consistent monotonicity was achieved by merging inconsistent adjacent levels for appetite. The largest utility decrements were associated with physical functioning and pain. The worst possible health state (the worst level of each dimension) is -0.083, which is considered slightly worse than being dead. The U.K.-specific utility weights will enable cost-utility analysis (CUA) for the economic evaluation of new oncology therapies and technologies in the United Kingdom, where CUA is commonly used to inform resource allocation.

German value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30.

PURPOSE: The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the EORTC QLQ-C30, a widely used cancer-specific quality of life questionnaire. It covers ten dimensions: physical, role, social, emotional functioning, pain, fatigue, sleep, appetite, nausea, and bowel problems. To allow national health attitudes to be reflected, country-specific valuations are being performed by collaboration of the Multi-Attribute Utility Cancer (MAUCa) Consortium and the EORTC. The purpose of this paper is to provide German value sets (utility weights) for the QLU-C10D. METHODS: Valuations were run in a web-based setting in two general population samples of approximately 2000 adults in total. As the German version of the QLQ-C30 is presently undergoing a revision of the wording of one response category, valuations for both the current and the new version were performed (Germany 1 and 2). Utilities were elicited using a discrete choice experiment (DCE). Data were analyzed by conditional logistic regression and mixed logits. RESULTS: Completion rates were 88.3% (1002/1135) and 90.4% (1016/1124) for Germany 1 and Germany 2 valuations, respectively. Dimensions with the largest impact on utility weights were, in this order: physical functioning, pain, role functioning, social functioning and nausea (same ordering for both German versions). Several violations of the logical ordering of levels were observed for Germany 1; this was largely improved for Germany 2. CONCLUSION: This study established German utility weights for the cancer-specific utility instrument QLU-C10D.

Mapping the trajectories for women and their babies from births planned at home, in a birth centre or in a hospital in New South Wales, Australia, between 2000 and 2012.

BACKGROUND: In New South Wales (NSW) Australia, women at low risk of complications can choose from three birth settings: home, birth centre and hospital. Between 2000 and 2012, around 6.4% of pregnant women planned to give birth in a birth centre (6%) or at home (0.4%) and 93.6% of women planned to birth in a hospital. A proportion of the woman in the home and birth centre groups transferred to hospital. However, their pathways or trajectories are largely unknown. AIM: The aim was to map the trajectories and interventions experienced by women and their babies from births planned at home, in a birth centre or in a hospital over a 13-year period in NSW. METHODS: Using population-based linked datasets from NSW, women at low risk of complications, with singleton pregnancies, gestation 37-41 completed weeks and spontaneous onset of labour were included. We used a decision tree framework to depict the trajectories of these women and estimate the probabilities of the following: giving birth in their planned setting; being transferred; requiring interventions and neonatal admission to higher level hospital care. The trajectories were analysed by parity. RESULTS: Over a 13-year period, 23% of nulliparous and 0.8% of multiparous women planning a home birth were transferred to hospital. In the birth centre group, 34% of nulliparae and 12% of multiparas were transferred to a hospital. Normal vaginal birth rates were higher in multiparous women compared to nulliparous women in all settings. Neonatal admission to SCN/NICU was highest in the planned hospital group for nulliparous women (10.1%), 7.1% for nulliparous women planning a birth centre birth and 5.1% of nulliparous women planning a homebirth. Multiparas had lower admissions to SCN/NICU for all thee settings (hospital 6.3%, BC 3.6%, home 1.6%, respectively). CONCLUSIONS: Women who plan to give birth at home or in a birth centre have high rates of vaginal birth, even when transferred to hospital. Evidence on the trajectories of women who choose to give birth at home or in birth centres will assist the planning, costing and expansion of models of care in NSW.