Publications by authors named "Rachel E Gonzales"
Article Synopsis
- HCW anxiety and depression increased during the pandemic, leading to the rise of digital mental health platforms like Cobalt that provide online assessments and access to resources.
- This study analyzed the use of Cobalt within a large health system to see if there was any connection between platform usage and COVID-19 impact over three years.
- The findings showed a high volume of anonymous user sessions and assessments on Cobalt, but no significant link was found between COVID-19 case numbers and the platform's use or assessment results.
Importance: The health care workforce continues to experience high rates of depression and anxiety. Finding ways to effectively support the mental health and well-being of health care workers is challenging.
Objective: To test the effectiveness of remote, pushed digital assessments and engagement to improve depression and anxiety among health care workers compared with usual care.
Background: To combat increasing levels of violence in the emergency department (ED), hospitals have implemented several safety measures, including behavioral flags. These electronic health record (EHR)-based notifications alert future clinicians of past incidents of potentially threatening patient behavior, but observed racial disparities in their placement may unintentionally introduce bias in patient care. Little is known about how patients perceive these flags and the disparities that have been found in their placement.
View Article and Find Full Text PDFImportance: Numerous Black individuals experience racism persistently throughout their lives, with repercussions extending into health care settings. The perspectives of Black individuals regarding emergency department (ED) care, racism, and patient-centered approaches for dismantling structural racism remain less explored.
Objective: To qualitatively explore the perspectives and experiences of Black patients related to race, racism, and health care following a recent ED visit.
Computer code that transfers data to third parties (third-party tracking) is common across the web and is subject to few federal privacy regulations. We determined the presence of potentially privacy-compromising data transfers to third parties on a census of US nonfederal acute care hospital websites, and we used descriptive statistics and regression analyses to determine the hospital characteristics associated with a greater number of third-party data transfers. We found that third-party tracking is present on 98.
View Article and Find Full Text PDFBackground: The COVID-19 pandemic has placed strains on communities. During this public health crisis, health systems have created remote methods of monitoring symptom progression and delivering care virtually.
Objective: Using an SMS text message-based system, we sought to build and test a remote model to explore community needs, connect individuals to curated resources, and facilitate community health worker intervention when needed during the pandemic.