Programme evaluation training for health professionals in francophone Africa: process, competence acquisition and use
Notice bibliographique
Résumé
BACKGROUND: While evaluation is, in theory, a component of training programmes in health planning, training needs in this area remain significant. Improving health systems necessarily calls for having more professionals who are skilled in evaluation. Thus, the Université de Ouagadougou (Burkina Faso) and the Université de Montréal (Canada) have partnered to establish, in Burkina Faso, a master's-degree programme in population and health with a course in programme evaluation. This article describes the four-week (150-hour) course taken by two cohorts (2005-2006/2006-2007) of health professionals from 11 francophone African countries. We discuss how the course came to be, its content, its teaching processes and the master's programme results for students. METHODS: The conceptual framework was adapted from Kirkpatrick's (1996) four-level evaluation model: reaction, learning, behaviour, results. Reaction was evaluated based on a standardized questionnaire for all the master's courses and lessons. Learning and behaviour competences were assessed by means of a questionnaire (pretest/post-test, one year after) adapted from the work of Stevahn L, King JA, Ghere G, Minnema J: Establishing Essential Competencies for Program Evaluators. Am J Eval 2005, 26(1):43-59. Master's programme effects were tested by comparing the difference in mean scores between times (before, after, one year after) using pretest/post-test designs. Paired sample tests were used to compare mean scores. RESULTS: The teaching is skills-based, interactive and participative. Students of the first cohort gave the evaluation course the highest score (4.4/5) for overall satisfaction among the 16 courses (3.4-4.4) in the master's programme. What they most appreciated was that the forms of evaluation were well adapted to the content and format of the learning activities. By the end of the master's programme, both cohorts of students considered that they had greatly improved their mastery of the 60 competences (p<0.001). This level was maintained one year after completing the master's degree, except for reflective practice (p<0.05). Those who had carried out an evaluation in the intervening 12 months reported a negative gap between their declared mastery and their actual application. However, this is only statistically significant for reflective practice (p < 0.05). CONCLUSION: This study shows the importance of integrating summative evaluation into the learning process. Skills-based teaching is much appreciated and well-adapted. Creating a master's programme in population and health in Africa and providing training in evaluation to high-level health professionals from many countries augurs well for scaling up the practice of evaluation in African health systems.
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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 | 0,016 | 0,001 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».