Publications by authors named "J J Handler"

Objective: The benefits of mobile applications in the prenatal period remain understudied. This study assessed associations between the Pregnancy Postpartum Support Program (PPSP), a digital wraparound service, and maternal and infant outcomes in a Medicaid population.

Methods: A retrospective analysis was conducted on pregnant patients with Medicaid insurance who received care and delivered in a Midwestern United States healthcare system between 8/1/2022-8/15/2023, comparing outcomes among those who did versus did not opt for PPSP enrollment.

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Advanced practice nurse leaders are in key positions within health systems to provide time and resources for implementation and evaluation of digital health services. As virtual monitoring programs become more embedded within nursing, nurse leaders and educators need to ensure that nurses are prepared to work within interprofessional teams to administer and evaluate them. This article discusses challenges and implementation strategy considerations for data curation and analysis using large datasets from the Medicaid population for research.

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Article Synopsis
  • The study investigates the molecular pathways that contribute to metastasis in pancreatic ductal adenocarcinoma (PDAC) by labeling and analyzing tumor subclones to understand their pre-metastatic states.
  • Researchers identified distinct gene signatures for subclones with high and low metastatic potential, revealing specific pathway activations, such as the IL-1 pathway in metastasis-high subclones.
  • They found that human PDAC tumors exhibit similar metastatic potential signatures, with higher scores linked to worse patient prognosis, underscoring the potential conservation of these pathways across various epithelial cancers.
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Advance care planning (ACP) facilitates end-of-life care, yet many die without it. Timely and accurate mortality prediction may encourage ACP. However, performance of predictors typically differs among sub-populations (e.

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Purpose: Cancer patient navigators (CPNs) can decrease the time from diagnosis to treatment, but workloads vary widely, which may lead to burnout and less optimal navigation. Current practice for patient distribution among CPNs at our institution approximates random distribution. A literature search did not uncover previous reports of an automated algorithm to distribute patients to CPNs.

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