A Head-to-head Comparison of the EQ-5D-3L Index Scores Derived from the Two EQ-5D-3L Value Sets for China

Background: Two EQ-5D-3L (3L) value sets (developed in 2014 and 2018) co-exist in China. The study examined the level of agreement between index scores for all the 243 health states derived from them at both absolute and relative levels and compared the responsiveness of the two indices. Methods: Intraclass correlations coefficient (ICC) and Bland-Altman plot were adopted to assess the degree of agreement between the two indices at the absolute level. Health gains for 29,403 possible transitions between pairs of 3L health states were calculated to assess the agreement at the relative level. Their responsiveness for the transitions was assessed using Cohen effect size.Results：The mean (standard deviation, SD) value was 0.427 (0.206) and 0.649 (0.189) for the 3L2014 and 3L2018 index scores, respectively. Although the ICC value showed good agreement (i.e., 0.896), 88.9% (216/243) of the points were beyond the minimum important difference limit according to the Bland-Altman plot. The mean health gains for the 29,403 health transitions was 0.234 (3L2014 index score) and 0.216 (3L2018 index score). The two indices predicted consistent transitions in 23,720 (80.7%) of 29,403 pairs. For the consistent pairs, Cohen effective size value was 1.05 (3L2014 index score) or 1.06 (3L2018 index score); and the 3L2014 index score only yielded 0.007 more utility gains. However, the results based on the two measures varied substantially according to the direction and magnitude of health change. Conclusion：The 3L2014 and 3L2018 index scores are not interchangeable. The choice between them is likely to influence QALYs estimations.

Choice Bundling Increases Valuation of Delayed Losses More Than Gains in Cigarette Smokers

Choice bundling, in which a single choice produces a series of repeating consequences over time, increases valuation of delayed monetary and non-monetary gains. Interventions derived from this manipulation may be an effective method for mitigating the elevated delay discounting rates observed in cigarette smokers. No prior work, however, has investigated whether the effects of choice bundling generalize to reward losses. In the present study, an online panel of cigarette smokers (N = 302), recruited using survey firms Ipsos and InnovateMR, completed assessments for either monetary gains or losses (randomly assigned). In Step 1, participants completed a delay-discounting task to establish Effective Delay 50 (ED50), or the delay required for an outcome to lose half of its value. In Step 2, participants completed three conditions of an adjusting-amount task, choosing between a smaller, sooner (SS) adjusting amount and a larger, later (LL) fixed amount. The bundle size (i.e., number of consequences) was manipulated across conditions, where a single choice produced either 1 (control), 3, or 9 consequences over time (ascending/descending order counterbalanced). The delay to the first LL amount in each condition, as well as the intervals between all additional SS and LL amounts (where applicable), were set to individual participants’ ED50 values from Step 1 to control for differences in discounting of gains and losses. Results from Step 1 showed significantly higher ED50 values (i.e., less discounting) for losses compared to gains (p < 0.001). Results from Step 2 showed that choice bundling significantly increased valuation of both LL gains and losses (p < 0.001), although effects were significantly greater for losses (p < 0.01). Sensitivity analyses replicated these conclusions. Future research should examine the potential clinical utility of choice bundling, such as development of motivational interventions that emphasize both the bundled health gains associated with smoking cessation and the health losses associated with continued smoking.

Comparing Health Gains, Costs and Cost-Effectiveness of 100s of Interventions in Australia and New Zealand: An Online Interactive League Table

Background This study compares the health gains, costs, and cost-effectiveness of hundreds of Australian and New Zealand (NZ) health interventions conducted with comparable methods in an online interactive league table designed to inform policy. Methods A literature review was conducted to identify peer-reviewed evaluations (2010 to 2018) arising from the Australia Cost-Effectiveness (ACE) research and NZ Burden of Disease Epidemiology, Equity and Cost-Effectiveness (BODE3) Programmes, or using similar methodology, with: health gains quantified as health-adjusted life years (HALYs); net health system costs and/or incremental cost-effectiveness ratio; time horizon of at least 10 years; and 3–5% discount rates. Results We identified 384 evaluations that met the inclusion criteria, covering 14 intervention domains: alcohol; cancer; cannabis; communicable disease; cardiovascular disease; diabetes; diet; injury; mental illness; other non-communicable disease; overweight and obesity; physical inactivity; salt; tobacco. There were large variations in health gain across evaluations: 33.9% gained less than 0.1 HALYs per 1000 people in the total population over the remainder of their lifespan, through to 13.0% gaining >10 HALYs per 1000 people. Over a third (38.8%) of evaluations were cost-saving. Conclusions League tables of comparably conducted evaluations illustrate the large health gain (and cost) variations per capita between interventions, in addition to cost-effectiveness. Further work can test the utility of this league table with policy makers and researchers.

Estimating Cardiovascular Health Gains From Eradicating Indoor Cold in Australia

Background Exposure to cold indoor temperature (<18 degrees Celsius) increases cardiovascular disease (CVD) risk and has been identified by the WHO as a source of unhealthy housing. While warming homes has the potential to reduce CVD risk, the reduction in disease burden is not known. We simulated the population health gains from reduced CVD burden if all homes in Australia were adequately warm. Methods The health effect of eradicating cold housing through reductions in CVD was simulated using proportional multistate lifetable model. The model sourced CVD burden and epidemiological data from Australian and Global Burden of Disease studies. The prevalence of cold housing in Australia was estimated from the Australian Housing Conditions Survey. The effect of cold indoor temperature on blood pressure (and in turn stroke and coronary heart disease) was estimated from published research. Results Eradication of exposure to indoor cold could achieve a gain of undiscounted one and a half weeks of additional health life per person alive in 2016 (baseyear) in cold housing through CVD alone. This equates to 0.447 (uncertainty interval: 0.064, 1.34; 3% discount rate) HALYs per 1,000 persons over remainder of their lives through CVD reduction. One-fifth of the total health gains are achievable between 2016 and 2035. Although seemingly modest, the gains outperform currently recommended CVD interventions including dietary advice for adults (0.017 per 1000 people, UI: 0.01, 0.027), lifestyle program for adults (0.024, UI: 0.01, 0.027) and Community Heart Health Program (0.141, UI: 0.071, 0.221). Conclusion Cardiovascular health gains achievable through eradication of cold housing are comparable with lifestyle and dietary interventions. The benefits of housing improvement are also substantial in other social domains (comfort, heating bills and energy efficiency).

Health impact assessment of salt reduction in bread in Portugal: a pilot study

Hypertension is a risk factor for cardiovascular diseases, which can be caused by excessive salt intake. In Portugal, one of the main foods to contribute to ingestion of salt is bread. Thus, a voluntary Protocol was signed between stakeholders with the aim to reduce salt content in bread by 2021. Herein, a retrospective HIA was carried out to assess the impact in blood pressure (BP) after this agreement. In order to find average values of salt intake and BP in Portuguese population, national surveys were used. Also, estimates of BP reduction and its size effects were calculated based upon meta-analysis data. It is expected that salt intake will be reduced mostly in individuals with low educational level, men, aged between 65-74 years old and residents in South region of Portugal. Results in hypertensive patients indicate that a higher effect on BP will occur in the same profile of individuals, except age (between 55 and 64 years old). However, the estimated effect is very low for all groups, suggesting that the Protocol will contribute to modest health gains. Complementary measures supported by HIA studies need to be adopted to actively promote salt intake reduction and effectively prevent hypertension.

Application of Health Technology Assessment for Oncology Care in India: Implications for Ayushman Bharat Pradhan Mantri Jan Aarogya Yojana

A health system is considered efficient when it provides maximum health gains to the population from the available resources. Newer drugs, diagnostics and treatment strategies aim to improve the health of the population, however, they come at an increased cost. Therefore, for an efficient health system, it needs to be decided if the extra cost being incurred is justified to achieve the extra health gains. In this regard, health technology assessment (HTA) helps to make evidence informed decisions by evaluating relative cost and benefits of the available interventions. Economic evidence generated by HTA can also be used in framing standard treatment guidelines (STGs) for high-cost cancer care. In multi-payer systems like India, the decisions regarding the clinical management of patients are taken based on the patients' ability to pay, which creates inequities in utilization of healthcare. Ayushman Bharat Pradhan Mantri Jan Aarogya Yojana (AB PM-JAY) offers an opportunity to ensure equity as it reduces financial barriers, besides having a potential to affect efficiency by including only cost-effective interventions in the benefit package. As a result, informed clinical decisions based upon HTA evidence can make cancer treatment more efficient, equitable and affordable for the patients.

Love Thy Neighbour? Perceived Community Abidance and Private Compliance to COVID-19 Norms in India

To arrest the spread of COVID-19 infection, strict adherence to frequent hand washing and respiratory hygiene protocols have been recommended. While these measures involve private effort, they provide health gains along with collective community benefits and hence are likely to be driven by pro-social motives like altruism and reciprocity. Using data from 934 respondents collected from April till May 2020 across India, we assess if changes in perceived community compliance can predict changes in individual compliance behaviour. We observe statistically significant and positive relationship between the two, even after accounting for observable and omitted variable bias allowing us to view the results from a plausible causal lens. Further, we find subsequent lockdowns having a detrimental effect on individual compliance though the gains from higher perceived community compliance seem to offset this loss. We also find positive perceptions about community can be particularly effective for people with pre-existing co-morbidities. Our findings underscore the need for multi-level behavioural interventions involving local actors and community institutions to sustain private compliance during the pandemic. We suggest these interventions need to be specially targeted for individuals with chronic ailments and emphasize on community behavioural practices in public messaging. JEL Codes: I12, I18, I19, I31

Rising Geographic Disparities in US Mortality

The twenty-first century has been a period of rising inequality in both income and health. In this paper, we find that geographic inequality in mortality for midlife Americans increased by about 70 percent between 1992 and 2016. This was not simply because states like New York or California benefited from having a high fraction of college-educated residents who enjoyed the largest health gains during the last several decades. Nor was higher dispersion in mortality caused entirely by the increasing importance of “deaths of despair,” or by rising spatial income inequality during the same period. Instead, over time, state-level mortality has become increasingly correlated with state-level income; in 1992, income explained only 3 percent of mortality inequality, but by 2016, state-level income explained 58 percent. These mortality patterns are consistent with the view that high-income states in 1992 were better able to enact public health strategies and adopt behaviors that, over the next quarter-century, resulted in pronounced relative declines in mortality. The substantial longevity gains in high-income states led to greater cross-state inequality in mortality.