Mixed methods study protocol for combining stakeholder-led rapid evaluation with near real-time continuous registry data to facilitate evaluations of quality of care in intensive care units.
null nullAasiyah RashanAbigail BeaneAniruddha GhoseArjen M DondorpArthur KwizeraBharath Kumar Tirupakuzhi Vijayaraghavan MdBruce BiccardCassia RighyCatherine Louise ThwaitesChristopher PellCornelius SendagireDavid A ThomsonDilanthi Gamage DoneDiptesh AryalDuncan WagstaffFarah Nadia Mohd HanafiahGiovanni PutotoHem Raj PaneruIshara UdayangaJohn H AmuasiJorge Ibrahin Figueira SalluhKrishna GokhaleKrishnarajah NirantharakumarLuigi PisaniMadiha HashmiMarcus J SchultzMaryam Shamal GhalibMavuto MukakaMohammed Basri Mat-NorMoses Siaw-FrimpongRajendra SurenthirakumaranRashan HaniffaRonnie P KadduSnehal M Pinto PereiraSrinivas MurthySteve HarrisSuneetha Ramani MoonesingheSutharshan VengadasalamSwagata TripathyTiffany E GoodenTimo TolppaVrindha PariWangari Waweru-SiikaYen Lam MinhPublished in: Wellcome open research (2023)
The results of our study will provide essential information on where and how care processes can be improved to facilitate better quality of care to critically ill patients in LMICs; thus, reduce preventable mortality and morbidity in ICUs. Furthermore, understanding the rapid evaluation methods that will be used for this study will allow other researchers and healthcare professionals to carry out similar research in ICUs and other health services.
Keyphrases
- quality improvement
- healthcare
- palliative care
- intensive care unit
- cardiovascular disease
- emergency department
- type diabetes
- affordable care act
- cardiovascular events
- clinical trial
- machine learning
- electronic health record
- study protocol
- mechanical ventilation
- artificial intelligence
- deep learning
- sensitive detection
- extracorporeal membrane oxygenation