Managing tuberculosis among labor migrants: exploring alternative organizational approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose High volume of international migration calls for the establishment of financial and organizational mechanisms that would ensure provision of treatment for tuberculosis (TB) among migrants. In the case of countries like Russia where budget funding goes for TB treatment, the need is acute as delivering these services is affected by social perception that they should be provided to taxpayers only. While official policies in Russia promote voluntary medical insurance as a way to cover their health care needs, the problem is that neither voluntary medical insurance, nor the National Medical Insurance Plan, extend to cover the treatment of infectious diseases, such as TB making proposal of possible alternatives to these delivery vehicles appropriate. The paper aims to discuss these issues. Design/methodology/approach The analysis includes review of survey results on the extent of medical insurance coverage among migrants as well as legal provisions concerning access to medical care among migrants in Russia and some other migrant-receiving countries. Findings This exercise illuminates the public health risks and economic consequences related to inadequate access to medical help among migrants. Availability of medical insurance even among socially integrated segment of this group is limited. Also of notice is that citizens of Belarus as opposed to others are granted access to the full range of TB services in Russia. Originality/value Using this precedent, the authors propose an alternative mechanism – Inter-State Medical Insurance Fund – to be established by governments of CIS countries, with national allocations covering the provision of medical help to labor migrants from the respective countries in Russia.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it