NGO-provided free HIV treatment and services in Burkina Faso: scarcity, therapeutic rationality and unfair process
Bibliographic record
Abstract
Until 2010, Burkina Faso was an exception to the international trend of abolishing user fees for antiretroviral treatment (ART). Patients were still expected to pay 1,500F CFA (2 Euros) per month for ART. Nevertheless, many non-governmental organizations (NGOs) exempted patients from payment. The objective of this study was to investigate how NGOs selected the beneficiaries of payment exemptions for government-provided ART and rationed out complementary medical and psychosocial services. For this qualitative study, we conducted 13 individual interviews and three focus group discussions (n = 13 persons) with program staff in nine NGOs (4,000 patients), two NGO coordinating structures and one national program. These encounters were recorded and transcribed, and their content was thematically analyzed. The results were presented to the NGOs for feedback. Results indicate that there are no concrete guidelines for identifying patients warranting payment exemptions. Formerly, ART was scarce in Burkina Faso and the primary criterion for treatment selection was clinical. Our results suggest that this scarcity, mediated by an approach we call sociotherapeutic rationality (i.e. maximization of clinical success), may have led to inequities in the provision of free ART. This approach may be detrimental to assuring equity since the most impoverished lack resources to pay for services that maximize clinical success (e.g. viral load) that would increase their chances of being selected for treatment. However, once selected into treatment, attempts were made to ration-out complementary services more equitably.This study demonstrates the risks entailed by medication scarcity, which presents NGOs and health professionals with impossible choices that run counter to the philosophy of equity in access to treatment. Amid growing concerns of an international funding retreat for ART, it is important to learn from the past in order to better manage the potentially inequitable consequences of ART scarcity.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.016 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".