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You Can’t Manage What You Do Not Measure - Why Adolescent Mental Health Monitoring Matters

2021· article· en· W3184776326 on OpenAlexaboutno aff
Joseph Hayes, Liliana Carvajal-Vélez, Zeinab Hijazi, Jill W. Åhs, P. Murali Doraiswamy, Fatima Azzahra El Azzouzi, Cameron Fox, Helen Herrman, Charlotte Petri Gornitzka, Brandon Staglin, Miranda Wolpert

Bibliographic record

VenueJournal of Adolescent Health · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersWellcome TrustUNICEFBill and Melinda Gates Foundation
KeywordsMeasure (data warehouse)Mental healthPsychologyAdolescent healthPsychiatryMedicineComputer scienceNursingData mining

Abstract

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Despite growing awareness of mental health conditions in recent years, funding for mental health science has not increased. The 2020 International Alliance of Mental Health Research Funders report “The Inequities of Mental Health Research Funding” [[1]Woelbert E. White R. Lundell-Smith K. et al.The inequities of mental health research (IAMHRF). Digital Science. Report.https://doi.org/10.6084/m9.figshare.13055897.v2Date: 2020Date accessed: January 20, 2021Google Scholar] reveals some stark inequalities and highlights issues with resource allocation. Although the global cost of mental health conditions is projected to exceed $6 trillion by 2030 [[2]Bloom D.E. Cafiero E.T. Jané-Llopis E. et al.The global economic burden of non-communicable diseases. World Economic Forum, Geneva2011Google Scholar], global investments in mental health research have remained approximately $3.7 billion per year in real terms between 2015 and 2019, equating to roughly 50 cents per person per year. Only 2.4% of this research funding is spent in low- and middle-income countries (LMICs), despite accounting for 84% of the world’s population. Only 33% of the total is invested in mental health research involving young people, despite this being the peak age of onset of the majority of mental health conditions, and where prevention and early intervention can avert the lifelong disability and suffering that underlie the tremendous cost. Because research expenditure is so at odds with the burden of mental ill-health experienced globally, major knowledge gaps persist: (1) data on prevalence of adolescent mental health conditions is sparse, especially in LMICs. Data about mental health conditions among adolescents that are available are representative of a very small proportion of the population and more than 100 countries have no data [[3]Erskine H. Baxter A. Patton G. et al.The global coverage of prevalence data for mental disorders in children and adolescents.Epidemiol Psychiatr Sci. 2017; 26: 395-402Crossref PubMed Scopus (212) Google Scholar]; (2) solid evidence on scalable approaches for mental health care, for prevention of mental health conditions in children and adolescents, promotive mental health strategies, and for addressing mental health determinants is limited, particularly from LMICS. These data and evidence are urgently needed to guide strategic actions to address the burden of mental health problems among adolescents through effective national policies and programs. Better collection and management of mental health data, through routine data collection platforms, has become a major focus of large research agencies including the US National Institute of Mental Health and the Wellcome Trust. Together they have formed the Common Measures in Mental Health Science Governance board and outlined an initial core list of research questionnaires that should be used by funded researchers. UNICEF has made extensive efforts, in collaboration with academic and institutional partners, including the World Health Organisation, to adapt and validate these common measures for use at the population level in LMICs, through the MMAP initiative (Measurement of Mental health among Adolescents at the Population level) [[4]Carvajal L. Increasing data and understanding of adolescent mental health worldwide: UNICEF’s measurement of mental health among adolescents at the population level initiative.J Adolesc Health. 2021; 69https://doi.org/10.1016/j.jadohealth.2021.03.019Abstract Full Text Full Text PDF Scopus (13) Google Scholar]. Field work for the MMAP initiative currently involves implementation of the MMAP protocol for transcultural translation, adaptation, and clinical validation in four settings: Belize, South Africa, Kenya, and Nepal. Transcultural translation and adaptation work is ongoing in Angola. However, this project and similar attempts to improve our understanding of adolescent mental health in LMICs require sustained engagement at the country level, sustained advocacy at all levels, and sustained funding. Each of these elements is precarious; however, the two former components cannot occur without the latter. There is some evidence that certain research funding sectors, including philanthropists, are reluctant to invest in mental health, which can be taken as an indication for a low position on the agenda. This may be due to fragmentation of advocacy efforts around the issue of parity, and perceived complexity, and may also relate to stigma and insufficient mobilization of persons and their families with mental health conditions to form powerful constituencies, and to press for the availability of effective and humane mental healthcare [[5]Future GenerationAustralia’s mental health crisis: Why private funders are not answering the call.https://futuregeninvest.com.au/wp-content/uploads/2019/10/AustraliasMentalHealthCrisis.pdfDate: 2019Date accessed: January 25, 2021Google Scholar]. The International Alliance of Mental Health Research Funders report shows the inequalities that exist in this area, and the UNICEF initiative shows what is possible if research funding is allocated to such major public health issues. Prior to the COVID-19 pandemic, there was evidence of increasing adolescent mental health needs in high-income countries [[6]Lipson S.K. Lattie E.G. Eisenberg D. Increased rates of mental health service utilization by US college students: 10-year population-level trends (2007–2017).Psychiatr Serv. 2019; 70: 60-63Crossref PubMed Scopus (417) Google Scholar,[7]Wiens Canadian Wiens K. Bhattarai A. et al.A growing need for youth mental health services in Canada: Examining trends in youth mental health from 2011 to 2018.Epidemiol Psychiatr Sci. 2020; 29: e115https://doi.org/10.1017/S2045796020000281Crossref PubMed Scopus (87) Google Scholar]. We are yet to see the full effects of the pandemic, the necessary restrictive measures, or longer term economic consequences on mental health. However, it seems likely that there will be significant increases in mental health problems [[8]Pfefferbaum B. North C.S. Mental health and the Covid-19 pandemic.New Engl J Med. 2020; 383: 510-512Crossref PubMed Scopus (2745) Google Scholar]. It is unclear if LMICs will follow this pattern, but their recovery may be more protracted [[9]Kelley M. Ferrand R.A. Muraya K. et al.An appeal for practical social justice in the COVID-19 global response in low-income and middle-income countries.The Lancet Glob Health. 2020; 8: e888-e889Abstract Full Text Full Text PDF PubMed Scopus (61) Google Scholar] and addressing mental health problems may be more challenging [[10]Kola L. Global mental health and COVID-19.The Lancet Psychiatry. 2020; 7: 655-657Abstract Full Text Full Text PDF PubMed Scopus (96) Google Scholar]. In 2020, UNICEF and the World Health Organization signed a joint programme agreement for the 2020-2030 period on Mental Health and Psychosocial Wellbeing and Development of Children and Adolescents, in which one of the four core programme strategies is to strengthen information systems, evidence and research [[11]United Nations Children’s FundWorld Health OrganizationUNICEF/WHO Joint Programme Document, 2020-2030 on Mental Health and Psychosocial Wellbeing and Development of Children and Adolescents. World Health Organization, 2021https://www.corecommitments.unicef.org/mhpssDate accessed: June 28, 2021Google Scholar]. We agree that this is imperative, and that research funding allocation needs to be considered as a key element of achieving the “Grand Challenges in Global Mental Health” [[12]Collins P.Y. Patel V. Joestl S.S. et al.Grand challenges in global mental health.Nature. 2011; 475: 27-30Crossref PubMed Scopus (1410) Google Scholar]. We believe that, to catalyze sustained, large-scale investment in the science and services that will lead to preventions and cures, funders need to first commit to support for the data generation that will crystallize global knowledge of the crisis. The ultimate metric of impact, of course, is the research-driven reduction of the global burden of mental health conditions, but this impact can only be measured with the sustained funding for projects that will close the data gap. This work was funded by the Wellcome Trust grant 211085/Z/18/Z (J.H.).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.038
GPT teacher head0.319
Teacher spread0.281 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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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Citations28
Published2021
Admission routes1
Has abstractyes

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