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Dive into the research topics where Daniel Yagoda is active.

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Featured researches published by Daniel Yagoda.


Journal of Neuroscience Nursing | 2014

Assessment of satisfaction with care among family members of survivors in a neuroscience intensive care unit.

David Y. Hwang; Daniel Yagoda; Hilary Perrey; Tara Tehan; Mary Guanci; Lillian Ananian; Paul F. Currier; Cobb Jp; Jonathan Rosand

ABSTRACT Many prior nursing studies regarding family members specifically of neuroscience intensive care unit (neuro-ICU) patients have focused on identifying their primary needs. A concept related to identifying these needs and assessing whether they have been met is determining whether families explicitly report satisfaction with the care that both they and their loved ones have received. The objective of this study was to explore family satisfaction with care in an academic neuro-ICU and compare results with concurrent data from the same hospital’s medical ICU (MICU). Over 38 days, we administered the Family Satisfaction-ICU instrument to neuro-ICU and MICU patients’ families at the time of ICU discharge. Those whose loved ones passed away during ICU admission were excluded. When asked about the respect and compassion that they received from staff, 76.3% (95% CI [66.5, 86.1]) of neuro-ICU families were completely satisfied, as opposed to 92.7% in the MICU (95% CI [84.4, 101.0], p = .04). Respondents were less likely to be completely satisfied with the courtesy of staff if they reported participation in zero formal family meeting. Less than 60% of neuro-ICU families were completely satisfied by (1) frequency of physician communication, (2) inclusion and (3) support during decision making, and (4) control over the care of their loved ones. Parents of patients were more likely than other relatives to feel very included and supported in the decision-making process. Future studies may focus on evaluating strategies for neuro-ICU nurses and physicians to provide better decision-making support and to implement more frequent family meetings even for those patients who may not seem medically or socially complicated to the team. Determining satisfaction with care for those families whose loved ones passed away during their neuro-ICU admission is another potential avenue for future investigation.


Journal of Critical Care | 2014

Anxiety and depression symptoms among families of adult intensive care unit survivors immediately following brief length of stay

David Y. Hwang; Daniel Yagoda; Hilary Perrey; Paul F. Currier; Tara Tehan; Mary Guanci; Lillian Ananian; J. Perren Cobb; Jonathan Rosand

PURPOSE Prior studies of anxiety and depression among families of intensive care unit patients excluded those admitted for less than 2 days. We hypothesized that families of surviving patients with length of stay less than 2 days would have similar prevalence of anxiety and depression compared with those admitted for longer. MATERIALS AND METHODS One hundred six family members in the neurosciences and medical intensive care units at a university hospital completed the Hospital Anxiety and Depression Scale at discharge. RESULTS The 106 participants represented a response rate of 63.9% among those who received surveys. Fifty-eight surveys (54.7%) were from relatives of patients who were discharged within 2 days of admission, whereas 48 (45.3%) were from those admitted for longer. No difference in anxiety was detected; prevalence was 20.7% (95% confidence interval, 10.4) among shorter stay families and 8.3% (7.8) among longer stay families (P = .10). No difference was also seen with depression; prevalence was 8.6% (7.2) among shorter stay families and 4.2% (5.7) among longer stay families (P = .45). CONCLUSIONS Families of surviving patients with brief length of stay may have similar prevalence of anxiety and depression at discharge to those with longer length of stay.


international conference of the ieee engineering in medicine and biology society | 2012

Safety evaluation of a Medical Device Data System

Stephanie Liddle; Lata Grover; Rachel Zhang; Maxim Y. Khitrov; Joan C. Brown; J. Perren Cobb; Julian M. Goldman; Joseph H. Chou; Daniel Yagoda; M. Brandon Westover; Andrew T. Reisner

Our hospital became interested in the extraction of electronic data from our bedside monitor network to enrich clinical care, and enable various quality improvement projects, research projects, and future applications involving advanced decision-support. We conducted a range of tests to confirm the safety of deploying BedMaster (Excel Medical Electronics, Jupiter FL, USA), which is third-party software sold expressly to provide electronic data extraction and storage from networked General Electric Healthcare bedside patient monitors. We conducted a series of tests examining the changes in network performance when the BedMaster system was on our isolated patient monitor network. We found that use of BedMaster led to measurable, but trivial increases in network traffic and latency. We did not identify any failure scenarios in our analysis and testing. The major value of this report is to highlight potential challenges inherent in data and electronic device integration within the healthcare setting. In describing our strategy for testing the BedMaster system, it is our intention to present one testing protocol and to generate thought and discussion in the broader community about what types of problems can arise with inter-operability, and what types of testing are necessary to mitigate against these risks. Standards for inter-operability would surely reduce the inherent risks.


American Journal of Medical Quality | 2017

Improving Health Care Quality and Patient Safety Through Peer-to-Peer Assessment Demonstration Project in Two Academic Medical Centers

Elizabeth Mort; Jeffrey Bruckel; Karen Donelan; Lori Paine; Michael A. Rosen; David W. Thompson; Sallie J. Weaver; Daniel Yagoda; Peter J. Pronovost

Despite decades of investment in patient safety, unintentional patient harm remains a major challenge in the health care industry. Peer-to-peer assessment in the nuclear industry has been shown to reduce harm. The study team’s goal was to pilot and assess the feasibility of this approach in health care. The team developed tools and piloted a peer-to-peer assessment at 2 academic hospitals: Massachusetts General Hospital and Johns Hopkins Hospital. The assessment evaluated both the institutions’ organizational approach to quality and safety as well as their approach to reducing 2 specific areas of patient harm. Site visits were completed and consisted of semistructured interviews with institutional leaders and clinical staff as well as direct patient observations using audit tools. Reports with recommendations were well received and each institution has developed improvement plans. The study team believes that peer-to-peer assessment in health care has promise and warrants consideration for wider adoption.


Journal of Critical Care | 2014

Consistency of communication among intensive care unit staff as perceived by family members of patients surviving to discharge

David Y. Hwang; Daniel Yagoda; Hilary Perrey; Tara Tehan; Mary Guanci; Lillian Ananian; Paul F. Currier; J. Perren Cobb; Jonathan Rosand


Archive | 2013

Intensive Care Unit Organization, Management, and Value

Daniel Yagoda; Ulrich Schmidt; J. Perren Cobb


Critical Care Secrets (Fifth Edition) | 2013

Chapter 87 – Intensive Care Unit Organization, Management, and Value

Daniel Yagoda; Ulrich Schmidt; J. Perren Cobb


american thoracic society international conference | 2012

Identifying Sites Of Opportunity To Improve Handoffs For Patients Admitted To Intensive Care Units

Monica J. Wood; Paul D. Biddinger; J. P. Cobb; Daniel Yagoda


american thoracic society international conference | 2012

Novel Data Collection Tool And Feedback Mechanism Improve Clinician Compliance With Operating Room To Intensive Care Unit Handoffs

Monica J. Wood; Daniel Yagoda; Casey Olm-Shipman; Tara Tehan; Mary Guanci; Jonathan Rosand; J. P. Cobb; Kimberly Wt


american thoracic society international conference | 2012

Prevalence Of Depression And Anxiety Symptoms Among Families Of Survivors In A US Medical Intensive Care Unit (ICU)

Daniel Yagoda; David Y. Hwang; Paul F. Currier; Lillian Ananian; Hilary Perrey; Tara Tehan; Mary Guanci; Robin Lipkis-Orlando; J. P. Cobb; Jonathan Rosand

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Ulrich Schmidt

University of California

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