"Health and happiness: some open research topics"
This has been 90% complete for >6 months but finishing it has never seemed the top priority. The draft summary is below, and I can share the drafts with interested people, e.g. those looking for a thesis topic.
Summary
While studying health economics and working on the 2019 Global Happiness and Wellbeing Policy Report, I accumulated a list of research gaps within these fields. Most are related to the use of subjective wellbeing (SWB) as the measure of utility in the evaluation of health interventions and the quantification of the burden of disease, but many are relevant to cause prioritisation more generally.
This series of posts outlines some of these topics, and discusses ways they could be tackled. Some of them could potentially be addressed by non-profits, but the majority are probably a better fit for academia. In particular, many would be suitable for undergraduate or master's theses in health economics, public health, psychology and maybe straight economics – and some could easily fill up an entire PhD, or even constitute a new research programme.
The topics are divided into three broad themes, each of which receives its own post.
Part 1: Theory
The first part focuses on three fundamental issues that must be addressed before the quality-adjusted life-year (QALY) and the disability-adjusted life-year (DALY) can be derived from SWB measures, which would effectively create a wellbeing-adjusted life-year (WELBY).
Topic 1: Reweighting the QALY and DALY using SWB
Topic 2: Anchoring SWB measures to the QALY/DALY scale
Topic 3: Valuing states 'worse than dead’
Part 2: Application
Assuming the technical and theoretical hurdles can be overcome, this section considers four potential applications of a WELBY-style metric.
Topic 4: Re-estimating the global burden of disease based on SWB
Topic 5: Re-estimating disease control priorities based on SWB
Topic 6: Estimating SWB-based cost-effectiveness thresholds
Topic 7: Comparing human and animal wellbeing
Parts 1 and 2 include a brief assessment of each topic in terms of importance, tractability and neglectedness. I'm pretty sceptical of the ITN framework, especially as applied to solutions rather than problems, and I haven't tried to give numerical scores to each criterion, but I found it useful for highlighting caveats. Overall, I'm fairly confident that these topics are neglected, but I'm not making any great claims about their tractability, importance or overall priority relative to other areas of global health/development, let alone compared to issues in other cause areas. It would take much more time than I have at the moment to make that kind of judgement.
Part 3: Challenges
The final section highlights some additional questions that require answering before the case for a wellbeing approach can be considered proven. These are not discussed in as much detail and no ITN assessment is provided (the Roman numerals reinforce their distinction from the main topics addressed in Parts 1 and 2).
(i) Don’t QALYs and DALYs have to be derived from preferences?
(ii) In any case, shouldn’t we focus on improving preference-based methods?
(iii) Should the priority be reforming the QALY rather than the DALY?
(iv) Are answers to SWB questions really interpersonally comparable?
(v) Which SWB self-report measure is best?
(vi) Whose wellbeing is actually measured by self-reported SWB scales?
(vii) Whose wellbeing should be measured?
(viii) How feasible is it to obtain the required data?
(ix) Are more objective measures of SWB viable yet?
Part 3 also concludes the series by considering the general pros and cons of working on outcome metrics.
I included links to my working drafts to help understand the projects better, but please keep in mind that they contain statements that I will change my mind on after further research or contemplation. Also, they are not very tidy.
Year-by-year analysis of corporate campaigns (~50% done, draft)
This is basically an appendix to my cost-effectiveness estimate of corporate cage-free and broiler campaigns. Will contain graphs that will show how many animals were affected by campaigns each year, how cost-effectiveness has changed, and why we shouldn’t overreact to the analysis.
Numbers of animals slaughtered (~40% done, draft)
A collection of estimates of how many animals are kept in captivity for various purposes. E.g., meat, fur, wool, experiments, zoos, fish stocking, silk, etc.
Numbers of wild animals affected by humans in various ways (~30% done, draft)
Another collection of estimates. E.g. how many wild fish we catch, how many animals are killed by domestic cats, how many birds die after colliding with man-made objects, etc.
Surveys about veg*ism in the U.S. (not started)
I previously examined surveys about veganism and vegetarianism in the U.S. here. Results were conflicting. Now I want to conduct my own surveys to try to figure out what’s happening. This SSC post provides a hypothesis about why 2-6% of people claim to be vegetarians in surveys but then >60% of them report eating meat on at least one of two days for which they were asked to fill a dietary recall survey. I want to test it by seeing how many people will claim that they eat a breatharian diet (eat no solids at all). I think that ~3% of people will claim that they do it because they answer questions without reading, or purposefully answer incorrectly, or misunderstand the question. This would explain why surveys that simply ask people “Are you a vegan?” find such unreasonably high percentages. I also want to test other survey designs in a similar way and then make a better survey on the subject.
Trends of vegetarianism and veganism in the UK (not started)
Similar to what I wrote for the U.S. (link) but for the UK. I want to see if there will be similar patterns.
Yes, it made me a bit more willing to post here. But I put another week of work into that post before publishing. And I worked 2 more days on that post that I posted a couple of days ago which is also from my blog. I'm sure that some other posts from that blog are worth publishing after I put more work into them but I'm unsure if this is what I should be spending my time on. E.g., I don't want to post Cost-effectiveness of trap-neuter-return programs for cats on the EA forum without doing more to make sure it's correct (e.g. reading recent related research
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