Publications by authors named "Jennifer Lounsbury"
Objective: To determine timing and risk factors associated with readmission within 30 days of discharge following noncardiac surgery.
Background: Hospital readmission after noncardiac surgery is costly. Data on the drivers of readmission have largely been derived from single-center studies focused on a single surgical procedure with uncertainty regarding generalizability.
Hospitals across our nation are seeking to implement models of care that meet the primary goals of Quadruple Aim: Improved population health, cost-effective care delivery, and patient and provider satisfaction. In an effort to address the Quadruple Aim and our patients' care needs, Hamilton Health Sciences (HHS) embarked on a model of care delivery redesign, beginning with nursing care delivery. From 2013 to 2018, 12 clinical programs at HHS implemented the Synergy Model with its accompanying synergy patient needs assessment tool for nurses to objectively assess patients' acuity and dependency needs.
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- * Continuous multiparameter remote automated monitoring (CM-RAM) devices can track multiple health metrics like oxygen levels and heart rate simultaneously, offering a more comprehensive approach to virtual care.
- * This article reviews the principles and components of CM-RAM technologies, discusses current work in the field, and outlines strategic priorities for enhancing their implementation and effectiveness in patient care.
Article Synopsis
- The study aimed to compare the effectiveness of virtual care with remote automated monitoring (RAM) versus standard care in increasing the number of days adults were able to stay at home after non-elective surgery during the COVID-19 pandemic.
- Conducted as a multicenter randomized controlled trial in eight Canadian hospitals, 905 adults were divided into two groups: one receiving virtual care with daily monitoring and the other receiving standard post-operative care.
- The results showed a slight advantage for the virtual care group in terms of days alive at home (29.7 vs. 29.5 days), but the difference was minimal and not statistically significant, indicating no major benefit from the virtual care approach.
The incidence and prevalence of cancer continues to rise throughout Canada. Approximately one in two Canadians are expected to develop cancer at some point in their lives (Canadian Cancer Society, 2021). As the complexity and acuity of individuals with cancer increases, there is increased necessity to define the ideal nurse-to-patient ratio and patient caseload for nurses in specialized oncology settings.
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- Nurse leaders played a crucial role in developing and overseeing virtual care interventions during the COVID-19 pandemic, as highlighted in a case study focused on their experiences.
- The study details how two emerging nurse leaders successfully trained and led a national team of 70 nurses in a virtual health trial across multiple locations, utilizing normalization process theory.
- The case study emphasizes the importance of a structured approach to training and leadership in digital health research, sharing valuable insights and lessons learned from the initiative.
Article Synopsis
- The PVC-RAM trial aims to assess whether virtual care with remote automated monitoring (RAM) improves post-discharge outcomes for patients who have undergone nonelective surgeries during the COVID-19 pandemic.
- The study involves 900 adults from 8 Canadian hospitals, who are randomly assigned to receive either RAM or standard care, with daily monitoring of vital signs and interaction with nurses over a 30-day period.
- Results from this trial will help shape better post-surgical care strategies and will be shared through various platforms for broader impact, both during and after the pandemic.