To identify implementation strategies that effectively facilitate the adoption of social needs care coordination activities using enabling technologies among care management teams serving patients in community-based health centres.
Modified Delphi process.
Discrete, feasible implementation strategies were identified through literature review and semi-structured interviews with care management staff and subject matter experts in clinical informatics, workflow redesign, and product engineering. A modified Delphi was conducted with eight subject matter experts and nine health centre care management staff. Iterative rounds of online surveys were used to achieve consensus on the most relevant implementation strategies and their delivery methods.
The modified Delphi process achieved consensus on nine discrete implementation strategies needed to advance care management teams' ability to screen, refer and track social needs. Prioritised strategies included developing champions, enhancing quality improvement capacity, training staff on using enabling technologies and providing tailored technical assistance for workflow refinement. Consensus was also reached on a monthly cadence for most of the implementation strategies.
Consensus was reached on strategies to enhance care management teams' implementation of social needs screening, referrals and tracking using enabling technologies. These strategies will comprise an intervention to be pilot tested, refined and assessed in a cluster randomised clinical trial.
Findings from this study will inform the development of strategies to further the adoption of enabling technologies to support social needs care coordination.
This work is key to the design of a type 2 hybrid implementation-effectiveness trial that will assess whether user-informed, evidence-based implementation strategies can improve care management teams' adoption of enabling technologies to facilitate social needs care coordination for patients.
The research team includes a patient advisor with community-based nursing expertise and a nurse practitioner-clinical informaticist leader who was involved in data collection and interpretation of findings.
Trial registration: Clinicaltrials.gov registration # NCT06489002. Registered July 5, 2024, https://clinicaltrials.gov/study/NCT06489002?term=NCT06489002&rank=1.
The nursing profession has undergone significant evolution over the past century, shifting from a role traditionally viewed as an auxiliary to physicians to one of autonomous healthcare professionals equipped with specialised skills and expertise. This shift is driven by the increasing recognition of the importance of evidence-based practice in enhancing patient outcomes and advancing the field of nursing. Consequently, nursing research has emerged as a critical priority in the profession. This study seeks to explore the nursing research landscape in Malaysia, where data remain limited, by examining trends before, during and after the COVID-19 pandemic.
This scoping review will be conducted following the Arksey and O'Malley framework, using four electronic databases: PubMed, Scopus and CINAHL for journal articles published between 2015 and 2024, and Web of Science for conference proceedings from the same period.
The findings from this scoping review will provide an overview of the nursing research landscape in the Malaysian context, offering insights that could guide the future advancement of nursing research in the country. The results will be disseminated through submission to a peer-reviewed scientific journal for publication. Ethical approval is not required for this scoping review, as it involves the synthesis of data from available published literature.
New graduate nurses have difficulty recognizing and managing the early signs of clinical decline, resulting in a Failure to Rescue (FTR) event and preventable patient death. To address this gap, Garvey developed a series of Clinical Warning Curves as an instructional tool for new graduate nurses in an academic medical center. The Garvey Clinical Warning Curve models depict the progression of clinical changes in six body systems that occur before cardiac arrest.
The purpose of this study was to establish the content validity, reliability, and usability of the Garvey Clinical Warning Curves among healthcare experts and new-graduate nurses.
The current study was a cross-sectional, observational, validation survey design. Content experts used the content validity index (CVI) to evaluate the Curves.
All but the temperature curves were rated as “acceptable” (CVI >0.60) for relevance, clarity, and ambiguity. The new graduate nurses who reviewed the case studies and placed patients onto the Clinical Warning Curves did so similarly, generating high intraclass correlation (ICC) scores. The usability survey components measured the perceptions of acceptability, appropriateness, and feasibility for the use of the six Clinical Warning Curves in practice settings. All components of the Curves had an average score of 4.0 or greater except for the level of complexity which scored 3.88.
The Garvey Clinical Warning Curves emerged as valid and reliable tools that aid new graduate nurses in recognizing subtle signs of clinical decline. Because timely recognition and communication of clinical decline are key to preventing FTR events and avoiding patient deaths, it would be beneficial to provide the Clinical Warning Curves as a bedside resource for new graduate nurses during their orientation to the unit or within a nurse residency program.