Availability and affordability of medicines and diagnostic tests recommended for management of asthma and chronic obstructive pulmonary disease in sub-Saharan Africa: a systematic review
Bibliographic record
Abstract
BACKGROUND: Early accurate diagnosis and sustainable availability of affordable medicines and diagnostic tests is fundamental in optimal management of asthma and chronic obstructive pulmonary disease (COPD). We systematically reviewed original research articles about availability and affordability of medicines and diagnostic tests recommended for management of asthma and COPD in sub-Saharan Africa (SSA). METHODS: We searched PubMed, Scopus and African Journal Online for original research articles conducted in SSA between 2000 and March 2018 containing information about availability and affordability of any recommended medicine and diagnostic test for asthma and COPD. RESULTS: The search yielded 9 eligible research articles. Availability of short-acting beta agonists (SABA), inhaled corticosteroids (ICS) and short acting anti-muscarinic agents (SAMA) ranged between 19.9-100%, 0-45.5% and 0-14.3% respectively. Combination of ICS-long acting beta agonists (LABA) were available in 0-14.3% of facilities surveyed. There was absence of inhaled long acting anti-muscarinic agents (LAMA) and LAMA/LABA combinations. Spirometry and peak expiratory flow devices were available in 24.4-29.4% and 6.7-53.6% respectively. Affordability of SABA and ICS varied greatly, ranging from < 2 to 107 days' wages while ICS-LABA combinations, SAMA and oral theophylline plus leukotriene receptor antagonists cost 6.4-17.1, 13.7 and 6.9 days' wages respectively. CONCLUSION: Availability and affordability of medicines and diagnostics recommended for the management of asthma and COPD is a big challenge in SSA. Research about this subject in this region is still limited. More robustly performed studies are required to further understand the magnitude of inequity in access to these medicines and diagnostic tests in SSA and also to formulate simple pragmatic solutions to address this challenge.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".