MétaCan
Menu
Back to cohort
Record W2111204445 · doi:10.1093/heapol/czs067

Informing policy and programme decisions for scaling up the PMTCT and paediatric HIV response through joint technical missions

2012· article· en· W2111204445 on OpenAlexfundno aff
M. Jashi, Ravi Viswanathan, René Ekpini, Upjeet Chandan, Priscilla Idele, Chewe Luo, K. Legins, Arunangsu Chatterjee

Bibliographic record

VenueHealth Policy and Planning · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHIV/AIDS Impact and Responses
Canadian institutionsnot available
FundersInstitute of Circulatory and Respiratory HealthElizabeth Glaser Pediatric AIDS FoundationUNICEFCenters for Disease Control and PreventionWorld Bank GroupJoint United Nations Programme on HIV/AIDSDepartment for International DevelopmentClinton FoundationWorld Health OrganizationUnited States Agency for International DevelopmentGlobal Fund to Fight AIDS, Tuberculosis and MalariaMailman School of Public Health, Columbia UniversityUnited Nations Population Fund
KeywordsHuman immunodeficiency virus (HIV)Joint (building)Antiretroviral therapyDeveloping countryScalingMedicineComputer scienceOperations researchEconomic growthProcess managementBusinessEconomicsFamily medicineEngineeringViral load

Abstract

fetched live from OpenAlex

In 2005, due to slow global progress in the scale-up of prevention of mother-to-child transmission (PMTCT) and paediatric HIV programmes, the Inter-agency Task Team (IATT) on the Prevention of HIV infection among Pregnant Women, Mothers, and their Children initiated joint technical missions (JTMs) to countries of high HIV disease burden. The JTMs were intended to galvanize country actions for a more comprehensive response to PMTCT and paediatric HIV by bringing national and global stakeholders together to review national policies and programmes and develop country-specific recommendations for accelerating scale-up. Between 2005 and 2010, the IATT conducted JTMs in 18 low- and middle-income countries. In 2007, to assess the role played by the missions, a review in the first eight countries (Burkina Faso, Cameroon, Côte d'Ivoire, India, Malawi, Rwanda, Tanzania and Zambia) that hosted JTMs was undertaken. Country progress was assessed through desk review and key informant interviews. For each country, documents reviewed included JTM reports, baseline data for PMTCT and paediatric HIV care and treatment, and 2004 to 2007 trend data on key PMTCT and paediatric HIV indicators. Drawing upon the findings, this paper posits that JTMs contributed to national scale-up of PMTCT and paediatric HIV programmes through strengthening governance and co-ordination mechanisms for the programmes, promoting enabling policy environments, and supporting the development of national scale-up plans, which have been critical for leveraging additional financial resources for scale-up. Although the impact of the JTMs could be enhanced through greater follow-up and continued targeted assistance in technical areas such as infant and young child feeding, community-based programming and supply chain management, findings indicate that the JTMs are a useful mechanism for informing policy and programme decisions necessary for scaling up PMTCT and paediatric HIV responses. Moreover, by bringing stakeholders together around unified action plans, the JTMs created a platform for common action-a key tenet of the 'Three Ones' principles for effective HIV/AIDS responses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.117
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.117
Threshold uncertainty score0.621

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1170.111
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0030.004
Scholarly communication0.0150.011
Open science0.0020.006
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.172
GPT teacher head0.395
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueHealth Policy and PlanningSame topicHIV/AIDS Impact and ResponsesFrench-language works237,207