Assessing community (peer) researcher’s experiences with conducting spirometry and being engaged in the ‘Participatory Research in Ottawa: Management and Point-of-care for Tobacco-dependence’ (PROMPT) project
Notice bibliographique
Résumé
This article examines the overall experiences of community researchers in their involvement with the ‘PROMPT’ project for smoking cessation, which targeted community members who were homeless or at-risk for homelessness. More specifically, four community members, representing the study population were involved in the project as researchers. They were asked to complete surveys at both the beginning and end of each research training session to better understand their learning as it related to using a key instrument for this project, a spirometer, to measure project participants’ lung function. Spirometry is typically performed by trained healthcare providers. Community researchers were also interviewed to explore what their experiences were like working as a researcher with their own at-risk community. Although the researchers felt that the training was sufficient, more research is needed to evaluate training effectiveness among community researchers in delivering acceptable quality lung function testing using a spirometer. Upon analyzing the small group discussion and survey results, we found that the community researchers had an overall positive experience with both the project, and the training that was provided to equip them with the knowledge, tools, and resources they needed to successfully work in a research project of this kind. They also faced challenges that are common in such community-based projects, such as the power differential between the researchers with a healthcare background and themselves who have lived experience with the issue at hand. Background The Ottawa Citizen Engagement and Action Model (OCEAM) used a Community Based Participatory Action Research (CBPAR) approach by involving the most at-risk urban population. Community (peer) researchers participated in every step of the study despite the multiple challenges. Objective To assess the community researchers’ training and experiences in a CBPAR project, PROMPT: Participatory Research in Ottawa: Management and Point-of-care for Tobacco Dependence. Method Four community researchers were recruited, representative of the PROMPT project’s target population with current or past poly-substance use; smoking tobacco; and/or being homeless or at-risk for homelessness. The community researchers participated in all phases of PROMPT, including study design, development of questionnaires, participant recruitment, administering consent forms and questionnaires, as well as hand-held spirometry after rigorous training. To assess their knowledge and comfort level with spirometry testing after standardized training, questionnaires were administered pre- and post-training. In turn, to assess their overall experience, interviews were conducted at the end of study completion. Results All community researchers underwent small-group training sessions including presentations, discussions and hands-on practice adapted from standardized training material prepared for health care professionals. Spirometry training was included in all sessions. Self-perceived knowledge and confidence in administering spirometry, as well as skill-testing score averages improved between the pre- and post-training questionnaires. Overall, all the community researchers had a fulfilling experience participating in the project. Conclusion Despite challenges, involving community researchers with lived experience is feasible, satisfying and productive even in the most marginalized populations. Standardized spirometry training of community researchers’ representative of the PROMPT target population, with no healthcare educational background, was feasible and effective in improving knowledge, confidence and readiness to administer spirometry.
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 | 0,112 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,004 |
| 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 ».