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    N

    Newton Wellesley Hospital

    EST. 1881
    641论文总数
    1.7万引用总数

    论文量&引用量时间轴

    机构学者

    排序
    Michael R. Jaff
    Michael R. Jaff
    Boston Scientific;VasCore;Healthcare Inroads LLC
    论文:39引用:0H-index:0
    Keith B. Isaacson
    Keith B. Isaacson
    Center for Minimally Invasive Gynecologic Surgery, Newton-Wellesley Hospital (Dr. Isaacson)
    论文:19引用:0H-index:0
    Don L. Goldenberg
    Don L. Goldenberg
    Newton-Wellesley Hospital;School of Medicine, Tufts University
    论文:17引用:0H-index:0
    Lawrence S. Friedman
    Lawrence S. Friedman
    Department of Medicine, Newton-Wellesley Hospital;Massachusetts General Hospital;School of Medicine, Tufts University;Harvard Medical School
    论文:13引用:0H-index:0
    Hany Bedair
    Hany Bedair
    Department of Orthopaedic Surgery, Massachusetts General Hospital
    论文:12引用:0H-index:0
    Mary-Ann Fitzcharles
    Mary-Ann Fitzcharles
    Alan Edwards Centre for Research on Pain, McGill University;Division of Rheumatology, Faculty of Medicine, McGill University
    论文:10引用:0H-index:0
    Jennifer Wo
    Jennifer Wo
    Mass General Research Institute, Massachusetts General Hospital;Harvard Medical School
    论文:9引用:0H-index:0
    Julian N. Robinson
    Julian N. Robinson
    Department of Obstetrics, Gynecology and Reproductive Biology, Brigham & Women's Hospital
    论文:9引用:0H-index:0
    Hiroko Kunitake
    Hiroko Kunitake
    Massachusetts Gen Hosp, Dept Surg, Boston, MA USA
    论文:9引用:0H-index:0

    论文(641)

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    1Multi-State Modeling of Pressure Injury Staging Transition Trajectories to Inform Next-Generation Clinical Decision Support.
    Wenyu Song, Min-Jeoung Kang,Luwei Liu,Michael Sainlaire,Graham Lowenthal, Veysel Karani Baris,Sandy Cho,Diane L Carroll, Debra Furlong, Wadia Gilles-Fowler, Luciana Goncalves,Stuart Lipsitz,

    OBJECTIVE:This study aimed to evaluate the location-specific and time-sensitive trajectories of pressure injuries (PrIs) stages using real-world electronic health record (EHR) datasets. APPROACH:Using a dataset of 29,475 patients with records of PrIs documented from 2015 to 2023, we developed four PrI patient sub-cohorts with common PrI locations, including coccyx, buttocks, sacrum and heel. We estimated transition intensities between three PrI states: stage 1, stage 2, and a severe stage in each group. Stages and transition paths were derived from domain knowledge provided by clinical experts and The National PrI Advisory Panel (NPIAP) guidelines. RESULTS:The trajectory analysis suggested that stage 2 serves as a "gateway state" in all four locations, meaning that once a PrI reaches stage 2, the likelihood of transiting to severe stages increases significantly. The commonly used Braden Scale and its sub-components are more likely to be associated with transitions from stage 2 to severe stages, suggesting that manual risk assessment tools are suboptimal for predicting early-stage PrI transitions. Further, we observed race-dependent variations across injury location groups. INNOVATION:To our knowledge, this is the first study to introduce multi-state trajectory analysis in PrI research. Our model can investigate PrI status in a dynamic manner, which fills an important gap in the field. CONCLUSION:Our findings underscore the lack of time-sensitive information in existing PrI risk assessment tools, revealing a critical gap in their ability to capture the dynamic nature of PrI progression. Clinical decision support using time sensitive data is needed for delivering personalized, timely, and effective PrI prevention.

    2026Advances in wound care(2026)
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    2Pagetoid Dyskeratosis on the Abdomen Following Abdominoplasty: A Unique Presentation and Response to Treatment
    Shira Wolpowitz, Bisma Khalid, Maya Farah
    2026JAAD Case Reports(2026)
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    3Targeting Estrogen Receptor Beta Enhances Progesterone Sensitivity and Suppresses Inflammation in Endometriosis Using a Humanized Organoid Model.
    Mariana Alonso-Riquelme, Jamie Boney-Montoya, Elaine Hamm, Peter Movilla, Carol Curtis, Juan Gnecco
    2026REPRODUCTIVE SCIENCES(2026)
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    4Massachusetts Multisite Quality Improvement to Address Family Engagement in Level 2-3 Neonatal Intensive Care Units.
    Margaret G Parker, Aviel Peaceman, Zuzanna Kubicka, Molly Fraust-Wylie, Nicole Lomerson, Justin Goldstein, Alyssa Marshall,Rachana Singh, Didem Ayturk, Erika G Cordova-Ramos

    Introduction:Family engagement is a cornerstone of neonatal care. Few multisite quality improvement efforts using robust quality metrics focused on family engagement have occurred in the neonatal intensive care unit (NICU) setting. We aimed to increase the following measures of NICU family engagement by 20% or more of baseline within 2 years without disparities by maternal race/ethnicity or preferred language in Massachusetts NICUs: (1) multidisciplinary family meetings within 7 days; (2) social work consultations within 7 days; (3) assessment of families' unmet basic needs; (4) any mother's milk at discharge; (5) more than 50% participation in skin-to-skin care; and (6) training in discharge skills 48 hours or more before discharge. Methods:We used an Institute for Healthcare Improvement Breakthrough Series framework of multisite quality improvement, which included collaborative, large-scale meetings and training interspersed with local quality work. From January 2021 to December 2022, we collected data on 459 infants admitted for 14 days or more. We examined family engagement measure rates quarterly using run charts and compared overall rates by maternal race/ethnicity and preferred language using χ2 tests. We performed pilot data collection on parent-reported measures. Results:Forty-seven plan-do-study-act cycles were conducted. We found increases in training on discharge skills (from 57% to 90%) and in the assessment of unmet basic needs (from 39% to 96%). Many drivers occurred more often among infants with non-White and non-English-speaking mothers. Conclusions:Massachusetts NICUs implemented multiple interventions to increase family engagement. Our development and testing of chart-abstracted and family-reported measures of family engagement across a wide variety of topics may be generalizable to other NICUs working in this area.

    2026Pediatric quality & safety(2026)
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    5The AI Doctor is In: A Comparative Analysis of Chatbot Responses to Patient Questions about Fibroids
    L. Potter, A. Lalla, H. Haber
    2026OBSTETRICS AND GYNECOLOGY(2026)
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    合作机构(100)

    Massachusetts General Hospital,Harvard Medical School合作论文 70
    布莱根妇女医院合作论文 64
    哈佛大学合作论文 28
    贝斯以色列女执事医疗中心合作论文 28
    哥伦比亚大学合作论文 24
    密歇根大学合作论文 20
    塔夫茨大学合作论文 18
    科罗拉多州立大学合作论文 17
    范德比尔特大学合作论文 16
    华盛顿大学合作论文 15

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