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Record W2898657834 · doi:10.1111/add.14485

Substance use and the objectives of current global health frameworks: measurement matters

2018· editorial· en· W2898657834 on OpenAlexaff
Kevin D. Shield, Jürgen Rehm

Bibliographic record

VenueAddiction · 2018
Typeeditorial
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsPublic Health OntarioUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsSubstance useCurrent (fluid)PsychologyEnvironmental healthMedicinePsychiatryEngineering

Abstract

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Current global health frameworks emphasize the prevention of premature mortality, placing equal importance on all premature deaths, regardless of the age at death, and ignoring both non-premature deaths and disability. Health benchmarks should be based on summary health indicators, such as disability adjusted life years lost or health adjusted life expectancy, where data on the prevalence of disabling conditions exist, or on reductions in years of life lost or improvements in life expectancies for countries where data on the prevalence of disabling conditions do not exist. Current global health frameworks emphasize premature mortality prevention. The United Nations’ Sustainable Development Goals 2030 aim to reduce by one-third premature (defined as death before age 70) mortality from non-communicable diseases (NCDs) 1. The World Health Organization's Global Action Plan for the Prevention and Control of NCDs 2013–2020 has the target of a 25% relative reduction by 2025 in premature mortality due to cardiovascular diseases, cancer, diabetes and chronic respiratory diseases 2. Given that there are limited resources allocated to health issues 3, we argue that major global goals should be formulated differently, taking into consideration either non-fatal health outcomes by using summary health measures or, where this is not feasible, differentially weighting death at diffent ages with measures such as years of life lost to premature mortality. Equal valuation of deaths regardless of the age at which death occurs disregards the unequal health loss caused by deaths among people relatively younger in age 4, e.g. by alcohol and illicit drug use 5-7. In contrast, tobacco use has a relatively larger impact among people older in age 6. Therefore, program planning based on reductions in premature mortality may not represent the most effective method of improving population health, especially with respect to tobacco, alcohol and illicit drugs. Data from the Global Burden of Disease study were used to illustrate the harms resulting from premature mortality in 2016 in China, India, Brazil, South Africa, the United Kingdom and the United States 6 (see Fig. 1). Globally, a large proportion of deaths are not considered premature (47.6% of all deaths occurred among people 70 years of age and older). The percentage of all non-premature deaths was higher for the high-income countries (United Kingdom and the United States) compared to the lower- and upper middle-income countries of Brazil, China, India and South Africa. Additionally, infant mortality (at < 5 years of age) represented 9.1% of all deaths globally, with infant mortality being more common in low- and middle-income countries. The impact of tobacco, alcohol and illicit drug use on mortality differs by age 8. The distribution of deaths attributable to tobacco was skewed towards those older in age; 48.7, 28.7 and 14.2% of deaths caused by tobacco, alcohol and illicit drugs, respectively, occurred among people 70 years of age and older. Tobacco caused more premature deaths (3.7 million) compared to alcohol (2.0 million) or illicit drugs (0.4 million). Of the premature deaths caused by tobacco, the majority occurred among people 40–69 years of age (93.3%) compared to alcohol (81.0%) or illicit drugs (65.2%). Furthermore, tobacco, alcohol and illicit drugs had a larger impact on premature mortality among adults (15 years of age and older) compared to people 0–14 years of age. This was due to these substances being predominately used by adults 9 (i.e. most people aged 0–14 do not experience first-hand substance-attributable health effects). For low- and middle-income countries, where infant mortality is high, a focus on the health effects of tobacco, alcohol and drugs may be less of a priority than infant mortality. However, in those countries where the use of tobacco, alcohol and illicit drugs is prevalent during pregnancy, public health gains among infants can be achieved through targeted and generalized population health policies 10, 11. In high-income countries, deaths attributable to alcohol and illicit drugs occur relatively younger in age (due mainly to cirrhosis, poisonings often driven by opioid overdose deaths and other injuries) compared to deaths attributable to tobacco, thereby negatively impacting life expectancies (to the point of stagnation and reversals) 4, 12 and giving rise to health inequalities 7, 13. If increasing life expectancies is a goal, prevention of these deaths should be a priority over those deaths that occur relatively later in life due to tobacco use (e.g. cardiovascular and cancer deaths). Given differences in the distribution of deaths by age, countries may have vastly different health priorities, which are not reflected in measures of premature mortality. The above reasoning becomes more important if social inequalities are taken into consideration, as lower social status is linked to mortality and other health consequences at younger ages 14. The use of alternative health indicators as benchmarks, such as a reduction in years of life lost (YLL) due to premature mortality and increases in life expectancies, captures the unequal health loss caused by deaths at different ages. However, for global comparisons, YLL are derived using the reference standard life expectancy estimated based on the lowest observed mortality rate at each age (in populations greater than 5 million) 15. Therefore, changes in YLL may not be appropriate country-specific health targets. Furthermore, YLL and life expectancy changes will not capture health loss due to disability. Disability-adjusted life years (DALYs) lost and health-adjusted life expectancy (HALE) include non-fatal health outcomes. However, DALYs lost and HALE require data on the prevalence of disabling conditions (in many countries such data do not exist), and these health indicators can be conceptually difficult to understand. It has been hypothesized that reductions in premature mortality are strongly correlated with similar reductions in the number of YLL due to premature mortality and morbidity 16, thereby justifying the use of premature mortality as a proxy measure of health loss; however, no analysis of this hypothesis exists to our knowledge. Furthermore, it should be noted that YLL and DALYs lost treat all years of life lost equally, despite the age at which the loss occurs. The utility of this practice has been questioned (see 17). Tobacco, alcohol and illicit drugs cause numerous disabling chronic illnesses which are not fatal (e.g. dependence, as well as depression caused by alcohol) 5. Thus, summary health indicators are needed to measure the full health impacts of tobacco, alcohol and illicit drugs (see Fig. 1). Thus, current global health frameworks based on premature mortality are flawed and may lead to non-optimal health strategies. Instead, health benchmarks should be based on improvements in summary health indicators, such as DALYs lost or HALE, where data on the prevalence of disabling conditions exist, or on reductions in YLL or improvements in life expectancies for countries where data on the prevalence of disabling conditions do not exist. None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.019
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.322
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2018
Admission routes1
Has abstractyes

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