Evidence map›Paper›PMID 23843454›Full record

ArticleSexually transmitted infections2013

The size and distribution of key populations at greater risk of HIV in Pakistan: implications for resource allocation for scaling up HIV prevention programmes.

Faran Emmanuel, Laura H Thompson, Momina Salim, Naeem Akhtar, Tahira E Reza, Hajra Hafeez, Sajid Ahmed, James F Blanchard

Abstract read
In one paragraph

Article in Sexually transmitted infections, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Frontiers in reproductive health · 2020
    Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Faran EmmanuelCentre for Global Public Health, University of Manitoba, , Winnipeg, Manitoba, Canada.
Laura H Thompson
Momina Salim
Naeem Akhtar
Tahira E Reza
Hajra Hafeez
Sajid Ahmed
James F Blanchard

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith competing interests, limited funding and a socially conservative context, there are many barriers to implementing evidence-informed HIV prevention programmes for sex workers and injection drug users in Pakistan. Meanwhile, the HIV prevalence is increasing among these populations across Pakistan. We sought to propose and describe an approach to resource allocation which would maximise the impact and allocative efficiency of HIV prevention programmes.

methodsProgramme performance reports were used to assess current resource allocation. Population size estimates derived from mapping conducted in 2011 among injection drug users and hijra, male and female sex workers and programme costs per person documented from programmes in the province of Sindh and also in India were used to estimate the cost to deliver services to 80% of these key population members across Pakistan. Cities were prioritised according to key population size.

resultsTo achieve 80% population coverage, HIV prevention programmes should be implemented in 10 major cities across Pakistan for a total annual operating cost of approximately US$3.5 million, which is much less than current annual expenditures. The total cost varies according to the local needs and the purchasing power of the local currency.

conclusionsBy prioritising key populations at greatest risk of HIV in cities with the largest populations and limited resources, may be most effectively harnessed to quell the spread of HIV in Pakistan.

Indexed as

Costs and Cost AnalysisEpidemicsEpidemiologic MethodsFemaleGeographic MappingHIV InfectionsHumansIndiaMaleNeeds AssessmentPakistanPrevalenceProgram EvaluationResource AllocationRisk AssessmentSex WorkersEPIDEMIOLOGY (GENERAL)HIVPOLICYPREVENTION

Identifiers

PMID23843454
PMCPMC3756450

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.