Ensuring no one is left behind: Urgent action required to address implementation challenges for NTD control and elimination
Notice bibliographique
Résumé
Since the ambitious goals to eliminate and control neglected tropical diseases (NTDs) were launched, the crucial role of partnerships has been emphasized as a pathway to ensure success.With multiple drug donations, we have a good supply of medicines necessary to eliminate parasites from the body; with donors, key funding for research and implementation; with researchers, the capability to create the evidence base for recommendations; with nongovernmental development organizations (NGDOs), support for implementation; and with national programs, the willingness and impetus to accomplish these ambitious goals.A country's health system is almost always invoked as crucial to NTD implementation, with the claim that NTD programs contribute to the strengthening of health systems.Key partners, often missing at the table, are the endemic communities themselves.Yet we acknowledge that both communities and local health systems are the "backbone" of our programs.Some key implementation questions frequently arise in NTD programs: sustaining the motivation of community drug distributors, appropriateness of timing of mass drug administration (MDA) activities, the coverage-compliance gap [1], social mobilization, human resource constraints in low-and middle-income countries, inefficient or weak health systems, multiple reporting requirements and different funding cycles from donors, and many more (see Fig 1).While these issues continue to plague our NTD community, we have not committed the necessary levels of research funds, expertise, or priority to adequately answer these questions.Often termed "social science questions," these questions have been relegated to a category of research that is too difficult to conduct, too time-consuming, too costly, and seemingly less important than studies of drug efficacy or of the sensitivity of diagnostic tools.We argue that it is time to bring these issues to the table and give them the attention they merit.We propose five principle areas for consideration by the NTD community.First, let's rephrase these "social science" issues as implementation challenges that can be addressed by social science as well as epidemiological and other implementation research methods.Many disciplines such as anthropology, psychology, sociology, behavioral science, health economics, health services research, and other public health disciplines have the methods and tools to respond to these questions, which until now have been lumped together as "social science" questions.We need to acknowledge the strengths that each of these academic traditions can bring to our understanding of NTD elimination and control.In addition, we need to ensure that the program implementers rather than the researchers are in the driver's seat in the identification of the programmatic challenges and are valued
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,054 | 0,106 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,007 |
| Communication savante | 0,014 | 0,021 |
| Science ouverte | 0,007 | 0,016 |
| Intégrité de la recherche | 0,021 | 0,025 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,004 |
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 source (Gemma direct ou Codex distillé), 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 ».