Paid plasma in low- and middle-income countries: The strategy or the strategy-frustrating: A short account of Iran experience involved
Notice bibliographique
Résumé
Sir, WHO and International Society of Blood Transfusion have emphasized on voluntary donation of blood, plasma, stem cell, and transplant. The proponents of the paid system hold the contrary belief that the voluntary unpaid plasma donations would not be adequate enough to meet the demand for plasma derived medicinal products (PDMPs) thereby the patients would be deprived from access to the essential pharmaceuticals.[1] However, the opponents of the paid plasma system assert that it would help the spread of newly emerging diseases in the society.[2] Canadian Blood Services has stated that paid plasma collection has not helped the supply of PDMPs; thus, the concept of for-profit plasma collection centers is illogical and contrary to voluntary system.[3] The United States experience shows that voluntary donation among 17–35-year-olds has largely shrunk and access to paid plasma donation could possibly worsen it. This experience shows that the concern for the negative effect of paid plasma on voluntary donation of blood, platelet, and plasma is not baseless. It is also claimed that payment to plasma donors does not just compensate for cost of donor transfer to and back from plasma centers but it takes the form of monetary aid to low income donors and is a clear practice of plasma purchase. To prove this claim, the proponents refer to the disproportional scatter of plasma collection centers and their being located on colleges, weak economic regions, borderlines, and previous factory hubs.[4] The concentration of 80% of plasma centers of the states adjacent to the most vulnerable regions shows that pharmaceutical companies collecting plasma aim at low-income and poor people who are interested to convert their plasma into cash.[5] The author believes that countries should consider three important factors. The first factor is the existence of an industry-scale capacity to manufacture PDMPs. The second factor pertains to the status of the social capital in each country and the consequent anticipation of the impact paid donation would place on the voluntary-based system of plasma and blood donation. The third factor is the estimation of the real demand for PDMPs in each country. We should not ignore the higher risks on the part of paid plasma donors than voluntary ones and we should try to strengthen the voluntary system. We have had no emerging diseases like AIDS in the recent years and ignoring the safest way might endanger our supplies in case of unknown emerging infections.[6] If a country can meet its plasma demands through voluntary nonremunerated donation, why should it risk by applying the paid plasma system and depart from the safe approach? In addition, concerns about mismatch between demand and supply may be addressed by offering nonmonetary incentives, compatible with social norms and standards. This will help achieve balance between the quality and quantity of plasma and avoid the negative effects of paid plasma collection on the nonremunerated voluntary system. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».