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- Title
Quality Improvement with Outcome Data in Integrated Obstetric Care Networks: Evaluating Collaboration and Learning Across Organizational Boundaries with an Action Research Approach.
- Authors
DEPLA, ANNE LOUISE; KERSTEN, ANNA W.; RUITER, MARIJE LAMAIN-DE; JAMBROES, MARIELLE; FRANX, ARIE; EVERS, INGE M.; PLUUT, BETTINE; BEKKER, MIREILLE N.
- Abstract
Introduction: Patient-reported outcome and experience measures (PROM and PREM) are used to guide individual care and quality improvement (QI). QI with patientreported data is preferably organized around patients, which is challenging across organisations. We aimed to investigate network-broad learning for QI with outcome data. Methods: In three obstetric care networks using individual-level PROM/PREM, a learning strategy for cyclic QI based on aggregated outcome data was developed, implemented and evaluated. The strategy included clinical, patient-reported, and professionalreported data; together translated into cases for interprofessional discussion. This study’s data generation (including focus groups, surveys, observations) and analysis were guided by a theoretical model for network collaboration. Results: The learning sessions identified opportunities and actions to improve quality and continuity of perinatal care. Professionals valued the data (especially patientreported) combined with in-dept interprofessional discussion. Main challenges were professionals’ time constraints, data infrastructure, and embedding improvement actions. Network-readiness for QI depended on trustful collaboration through connectivity and consensual leadership. Joint QI required information exchange and support including time and resources. Conclusions: Current fragmented healthcare organization poses barriers for networkbroad QI with outcome data, but also offers opportunities for learning strategies. Furthermore, joint learning could improve collaboration to catalyse the journey towards integrated, value-based care.
- Subjects
MATERNAL health services; SCIENTIFIC observation; MATHEMATICAL models; LEADERSHIP; HEALTH outcome assessment; VALUE-based healthcare; QUALITATIVE research; INTERPROFESSIONAL relations; QUALITY assurance; THEORY; INTERDISCIPLINARY education; INTEGRATED health care delivery
- Publication
International Journal of Integrated Care (IJIC), 2023, Vol 23, Issue 2, p1
- ISSN
1568-4156
- Publication type
Article
- DOI
10.5334/ijic.7035