Safety, Quality, and Acceptability of Contraceptive Subdermal Implant Provision by Community Health Extension Workers Versus Nurses and Midwives in Nigeria: Protocol for a Quasi-Experimental, Noninferiority Study
Notice bibliographique
Résumé
BACKGROUND: As part of its Family Planning 2020 commitment, the Nigerian government is aiming for a contraceptive prevalence rate of 36% by 2018, and in 2014, approved a policy to allow community health extension workers (CHEWs), in addition to doctors, nurses, and midwives, to provide contraceptive subdermal implants. There is a lack of rigorous evidence on the safety of long-acting reversible contraceptive provision, such as implants, among lower cadres of health providers. OBJECTIVE: This study aimed to compare implant provision by CHEWs versus nurses and midwives up to 14 days post insertion. METHODS: The quasi-experimental, noninferiority study will take place in public sector facilities in Kaduna and Ondo States. In each state, we will select 60 facilities, and from these, we will select a total of 30 nurses and midwives and 30 CHEWs to participate. Selected providers will be trained to provide implant services. Once trained, providers will recruit a minimum of 8125 women aged between 18 and 49 years who request and are eligible for an implant, following comprehensive family planning counseling. During implant insertion, providers will record data about the process and any adverse events, and 14 days post insertion, providers will ask 4410 clients about adverse events arising from the implant. Supervisors will observe 792 implant insertions to assess service provision quality and ask clients about their satisfaction with the procedure. We will conclude noninferiority if the CI for the difference in the proportion of adverse events between CHEWs and nurses and midwives on the day of insertion or 14 days post insertion lies to the right of -2%. RESULTS: In September and October 2015, we trained 60 CHEWs and a total of 60 nurses and midwives from 12 local government areas (LGAs) in Kaduna and 23 LGAs in Ondo. Recruitment took place between November 2015 and December 2016. Data analysis is being finalized, and results are expected in March 2018. CONCLUSIONS: The strength of this study is having a standard care (nurse and midwife provision) group with which CHEW provision can be compared. The intervention builds on existing training and supervision procedures, which increases the sustainability and scalability of CHEW implant provision. Important limitations include the lack of randomization due to nurses and midwives in Nigeria working in separate types of health care facilities compared with CHEWs, and that providers self-assess their own practices. It is unfeasible to observe all procedures independently, and observation may change practice. Although providers will be trained to conduct implant removals, the study time will be too short to reach the sample size required to make noninferiority comparisons for removals. TRIAL REGISTRATION: ClinicalTrials.gov NCT03088722; https://clinicaltrials.gov/ct2/show/NCT03088722 (Archived by WebCite at http://www.webcitation.org/6xIHImWvu).
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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 | 0,033 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,003 |
| Méta-épidémiologie (sens large) | 0,006 | 0,004 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,004 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,005 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,033 | 0,006 |
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 ».