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Record W2097822464 · doi:10.4314/mmj.v20i1.10947

HIV Testing and Antiretroviral Therapy in Government and Mission Hospitals in Malawi: 2002 – 2007

2008· article· en· W2097822464 on OpenAlexaboutno aff
Kelita Kamoto, S D Makombe, Amon Nkhata, Andreas Jahn, Philip Moses, E J Schouten, A D Harries

Bibliographic record

VenueMalawi Medical Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAntiretroviral therapyGovernment (linguistics)Human immunodeficiency virus (HIV)Scale (ratio)Quarter (Canadian coin)Test (biology)Family medicineViral loadGeography

Abstract

fetched live from OpenAlex

HIV testing and antiretroviral therapy (ART) has scaled up tremendously in Malawi in the last 5 years. We analyzed trends of HIV testing uptake in the course of ART scale-up in 25 government and mission hospitals, which were selected because they do not receive support from non-governmental organizations. Data on numbers of clients HIV tested and on cumulative ART registrations were collected from annual country-wide situational analyses and from quarterly ART supervisory visits from 2002 to 2007. In the period before ART scale up, the quarterly number of clients HIV tested increased from 2609 in 2002 to 8197 in 2004, equivalent to an average quarterly increase of 559 tests. During ART scale up, the quarterly number of clients HIV tested increased from 17977 in early 2005 to 35344 in the second quarter of 2007, equivalent to an average quarterly increase of 2171 tests. During this time, the cumulative number of patients started on ART increased from 2441 to 29756. There has been a rapid acceleration of HIV testing uptake and ART in government and mission hospitals. ART may facilitate the decision of clients to have an HIV test and therefore contribute in this way to HIV prevention efforts.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.033
GPT teacher head0.325
Teacher spread0.292 · 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 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

Citations6
Published2008
Admission routes1
Has abstractyes

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