ArticleHealth care management science2012
Modelling the impacts of new diagnostic tools for tuberculosis in developing countries to enhance policy decisions.
Article in Health care management science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Application of discrete event simulation in health care: a systematic review.BMC health services research · 2018Pooled it
- Disparities in model-based cost-effectiveness analyses of tuberculosis diagnosis: A systematic review.PloS one · 2018Pooled it
- Modeling of novel diagnostic strategies for active tuberculosis - a systematic review: current practices and recommendations.PloS one · 2014Pooled it
- Modeling the patient and health system impacts of alternative xpert® MTB/RIF algorithms for the diagnosis of pulmonary tuberculosis in Addis Ababa, Ethiopia.BMC infectious diseases · 2017Article
- Operations research in global health: a scoping review with a focus on the themes of health equity and impact.Health research policy and systems · 2017Article
- Rapid urine-based screening for tuberculosis to reduce AIDS-related mortality in hospitalized patients in Africa (the STAMP trial): study protocol for a randomised controlled trial.BMC infectious diseases · 2016Article
- Article
- CAHRD Consultation 2014: the 10-20 year Horizon Introduction and Overview - as circulated to Consultation participants.BMC proceedings · 2015Article
- Infectious disease and health systems modelling for local decision making to control neglected tropical diseases.BMC proceedings · 2015Article
- Estimating oxygen needs for childhood pneumonia in developing country health systems: a new model for expecting the unexpected.PloS one · 2014Article
- Evidence supports TB test, so what now?The Cochrane database of systematic reviews · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The introduction and scale-up of new tools for the diagnosis of Tuberculosis (TB) in developing countries has the potential to make a huge difference to the lives of millions of people living in poverty. To achieve this, policy makers need the information to make the right decisions about which new tools to implement and where in the diagnostic algorithm to apply them most effectively. These decisions are difficult as the new tools are often expensive to implement and use, and the health system and patient impacts uncertain, particularly in developing countries where there is a high burden of TB. The authors demonstrate that a discrete event simulation model could play a significant part in improving and informing these decisions. The feasibility of linking the discrete event simulation to a dynamic epidemiology model is also explored in order to take account of longer term impacts on the incidence of TB. Results from two diagnostic districts in Tanzania are used to illustrate how the approach could be used to improve decisions.
Indexed as
Identifiers
22674467What OpenQuestion holds
Registered trials
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.