Using Information Communication Technology in Models of Integrated Community-Based Primary Health Care: Exploring ICT in the iCOACH Study
Notice bibliographique
Résumé
Introduction: Information and communication technology (ICT) is a promising enabler to support delivery of integrated care by inter-disciplinary teams by supporting information sharing across professional and organizational boundaries; arguably a crucial aspect of successful models of integrated care. The literature suggests that there are core components of ICT functionality such as interoperability between systems, supported chronic disease management functions and patient and caregiver access to ICT, are required to support the delivery of integrated models of care. While suggestions on what ICT for integrated care should look like abound in the literature, few studies have explored how ICT is used in practice in the implementation of integrated community-based primary health care.Theory and Methods: We draw on data from interviews with front-line staff and management collected from 2 cases in Canada (one in Ontario and one in Quebec) and 3 case studies in New Zealand collected as part of the iCOACH project. Interview data was thematically coded around three core themes: 1) types of ICT systems adopted; 2) the role ICT plays in the model of care with regard to central activities of integrated care, and 3) perceived value of systems from the perspective of health care providers and organizational managers and leaders.Results: All case sites had some form of ICT system in place (most often electronic medical records), however variation occurs within and across jurisdictions in terms of which integrated care activities were supported by ICT, the level of adoption, and the sophistication of systems. Most models faced significant challenges with regard to between-system interoperability to allow for effective information sharing. There was additional diversity in terms of healthcare provider use and acceptance of available technology. Where systems were lacking, sites would use workarounds, for example co-locating providers who could access multiple systems at a single site.Discussion: Preliminary analyses of case study data suggest that ICT was used to support a range of integrated care activities. Interoperability remains an important, and often elusive, requirement. Front-line providers and organizations showed the ability to creatively work around limitations of ICT, but did not see these as sustainable solutions.Conclusion: ICT systems across the cases varied in terms of maturity and functionality. There was a consensus across sites regarding the importance of ICT to support integrated care, however many cases did without robust systems. Providers and leaders identified the need to adopt ICT systems that supported information sharing across teams to sustain and grow programs.Lessons Learned: Adoption of ICT systems into models of integrated care can occur at different stages of implementation, with many models reaching a point at which integrated ICT systems are required to support effective sustainable growth.Limitations: Case study findings offer unique and in-depth perspective on the adoption of ICT in 9 different models of integrated care. Findings may not be generalizable to all of models of integrated care.Suggestions for future research: Further exploration is required to determine at exactly which point in the implementation process (early vs. sustained adoption) ICT is required.
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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».