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- Keyword
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- Adult development; health; risks; aging; patient-centered care (1)
- Artificial intelligence; patient perspectives; scoping review (1)
- Health care teams; patient engagement; big data; machine learning (1)
- Neonatal; early-onset sepsis; calculator; chorioamnionitis (1)
- OFF periods; Parkinson’s disease; risk factors; demographics; associations (1)
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Real-World Experiences Of Parkinson's Disease Off Time And Role Of Demographics, Radhika Devraj, Ahmad Elkouzi, Marlon R. Tracey
Real-World Experiences Of Parkinson's Disease Off Time And Role Of Demographics, Radhika Devraj, Ahmad Elkouzi, Marlon R. Tracey
Journal of Patient-Centered Research and Reviews
Purpose
OFF periods are episodes when Parkinson’s disease (PD) medications work suboptimally, with symptoms returning and impacting quality of life. We aimed to characterize OFF periods using patient-reported frequency, severity, and duration, as well as determine these characteristics’ associations with demographics.
Methods
A retrospective cohort study using Fox Insight Data Exploration Network (Fox DEN) database was conducted. Eligible patients had PD and were > 18 years. The experience of OFF periods was characterized by frequency (number of episodes/day), duration (duration/episode), and severity (impact on activities). Significance level was Bonferroni-corrected for multivariate analyses.
Results
From a population of 6,757 persons with PD, …
Adult Development And Associated Health Risks, Elizabeth C. Halloran
Adult Development And Associated Health Risks, Elizabeth C. Halloran
Journal of Patient-Centered Research and Reviews
Much has been learned about adult development in recent decades. Adults go through stages of development (emerging adulthood, young adulthood, middle adulthood, post-retirement, and very old age) with certain challenges at each stage. Viewing patients through a developmental lens is part of providing patient-centered care. Knowing the prominent issues, stressors, and risks at each stage of development is important in understanding patients. This knowledge can help customize medical advice to patients regarding obesity, disability, sleep, substance use, relationships, and age-related declines. This paper summarizes an updated view of adult development and discusses its relevance to health risks and patient-centered care …
Patient Perspectives On The Use Of Artificial Intelligence In Health Care: A Scoping Review, Sally Moy, Mona Irannejad, Stephanie Jeanneret Manning, Mehrdad Farahani, Yomna Ahmed, Ellis Gao, Radhika Prabhune, Suzan Lorenz, Raza Mirza, Christopher Klinger
Patient Perspectives On The Use Of Artificial Intelligence In Health Care: A Scoping Review, Sally Moy, Mona Irannejad, Stephanie Jeanneret Manning, Mehrdad Farahani, Yomna Ahmed, Ellis Gao, Radhika Prabhune, Suzan Lorenz, Raza Mirza, Christopher Klinger
Journal of Patient-Centered Research and Reviews
Purpose
Artificial intelligence (AI) technology is being rapidly adopted into many different branches of medicine. Although research has started to highlight the impact of AI on health care, the focus on patient perspectives of AI is scarce. This scoping review aimed to explore the literature on adult patients’ perspectives on the use of an array of AI technologies in the health care setting for design and deployment.
Methods
This scoping review followed Arksey and O'Malley’s framework and Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR). To evaluate patient perspectives, we conducted a comprehensive literature search using …
Measuring The Impact Of Primary Care Team Composition On Patient Activation Utilizing Electronic Health Record Big Data Analytics, Kristen K. Will, Yue Liang, Chih-Lin Chi, Gerri Lamb, Michael Todd, Connie Delaney
Measuring The Impact Of Primary Care Team Composition On Patient Activation Utilizing Electronic Health Record Big Data Analytics, Kristen K. Will, Yue Liang, Chih-Lin Chi, Gerri Lamb, Michael Todd, Connie Delaney
Journal of Patient-Centered Research and Reviews
Purpose
Team-based care has been linked to key outcomes associated with the Quadruple Aim and a key driver of high-value patient-centered care. Use of the electronic health record (EHR) and machine learning have significant potential to overcome previous barriers to studying the impact of teams, including delays in accessing data to improve teamwork and optimize patient outcomes.
Methods
This study utilized a large EHR dataset (n = 316,542) from an urban health system to explore the relationship between team composition and patient activation, a key driver of patient engagement. Teams were operationalized using consensus definitions of teamwork from the literature. …
Antibiotic Treatment For Well-Appearing Infants Born At ≥35 Weeks’ Gestation To Mothers With Chorioamnionitis Before And After Implementation Of Neonatal Early-Onset Sepsis Calculator, Surichhya Bajracharya, Preetha Prazad, Catherine Bennett, Nahren Asado
Antibiotic Treatment For Well-Appearing Infants Born At ≥35 Weeks’ Gestation To Mothers With Chorioamnionitis Before And After Implementation Of Neonatal Early-Onset Sepsis Calculator, Surichhya Bajracharya, Preetha Prazad, Catherine Bennett, Nahren Asado
Journal of Patient-Centered Research and Reviews
Purpose
Our quality improvement study aimed to determine whether application of a neonatal early-onset sepsis calculator (NSC) among well-appearing infants born at ≥ 35 weeks’ gestation to mothers with chorioamnionitis decreases the number of lab evaluations (LEs) and antibiotic treatments (Abxs) without missing early-onset sepsis.
Methods
We compared 2 years (January 1, 2019–January 3, 2021) of data from a historical-control group before implementation of the NSC to 1 year (January 4, 2021–December 31, 2021) of data from a calculator group after implementation of the NSC to evaluate whether LE and Abx decreased following implementation of the NSC on January 4, …