Results 11 to 20 of about 1,657,556 (272)

Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2020
Background More than 500 000 sudden cardiac arrests (SCAs) occur annually in the United States. Clinical predictive models (CPMs) may be helpful tools to differentiate between patients who are likely to survive or have good neurologic recovery and those ...
Richard T. Carrick   +7 more
doaj   +1 more source

Correlates of COVID-19 Vaccine Acceptance, Hesitancy and Refusal among Employees of a Safety Net California County Health System with an Early and Aggressive Vaccination Program: Results from a Cross-Sectional Survey

open access: yesVaccines, 2021
Since health professionals provide frontline care to COVID-19 patients, information on vaccine acceptance among healthcare workers is needed. We developed and implemented an anonymous internet-based cross-sectional survey with direct solicitation among ...
Nicole M. Gatto   +9 more
doaj   +1 more source

Active Medical Learner Engagement Results in the Discovery That One Size Does Not Fit All in Overcoming COVID-19 Vaccine Hesitancy

open access: yesVaccines, 2023
Vaccine hesitancy is an ongoing public health concern defined as the refusal of a vaccine that is readily available. Therefore, we developed a project to explore why patients in a safety net medical center were hesitant or refused the COVID-19 vaccine ...
Arash Salari   +10 more
doaj   +1 more source

Observational Comparative Effectiveness Research [PDF]

open access: yesCirculation: Cardiovascular Quality and Outcomes, 2012
Recent legislation has emphasized comparative effectiveness, including both the American Recovery and Reinvestment Act of 2009 and the Patient Protection and Affordable Care Act of 2010, which established the Patient Centered Outcomes Research Institute (PCORI) to foster comparative effectiveness research (CER).1,2 Defined as “the generation and ...
Pamela N, Peterson, Paul D, Varosy
openaire   +2 more sources

When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19

open access: yesDiagnostic and Prognostic Research, 2020
Background The need for life-saving interventions such as mechanical ventilation may threaten to outstrip resources during the Covid-19 pandemic. Allocation of these resources to those most likely to benefit can be supported by clinical prediction models.
David M. Kent   +3 more
doaj   +1 more source

Impact of traditional versus nontraditional initiation dosing schedule of paliperidone palmitate on 30-day readmission and safety [PDF]

open access: yesMental Health Clinician, 2023
Introduction: Paliperidone palmitate (PP), a second-generation long-acting injectable antipsychotic, requires 2 injections upon initiation. Due to the fast-paced nature of the inpatient setting, the second dose may be administered earlier than ...
Erika Kim, PharmD, BCPP   +4 more
doaj   +1 more source

Clinical Prediction Models for Valvular Heart Disease

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019
Background While many clinical prediction models (CPMs) exist to guide valvular heart disease treatment decisions, the relative performance of these CPMs is largely unknown.
Benjamin S. Wessler   +10 more
doaj   +1 more source

Parents of healthy children assign lower quality of life measure to scenarios labeled as cancer than to identical scenarios not labeled as cancer

open access: yesBMC Psychology, 2019
Background While it is commonly understood that a cancer diagnosis evokes feelings of fear, the effect of labeling a child’s illness as “cancer” remains unstudied.
Brenna M. McElderry   +4 more
doaj   +1 more source

Tufts PACE Clinical Predictive Model Registry: update 1990 through 2015

open access: yesDiagnostic and Prognostic Research, 2017
Background Clinical predictive models (CPMs) estimate the probability of clinical outcomes and hold the potential to improve decision-making and individualize care.
Benjamin S. Wessler   +9 more
doaj   +1 more source

Performance metrics for models designed to predict treatment effect

open access: yesBMC Medical Research Methodology, 2023
Background Measuring the performance of models that predict individualized treatment effect is challenging because the outcomes of two alternative treatments are inherently unobservable in one patient.
C. C. H. M. Maas   +5 more
doaj   +1 more source

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