Publications by authors named "Teresa Pollack"

Article Synopsis
  • - This scoping review examines the impact of housing instability on health outcomes and analyzes US health system programs that screen for and respond to this issue, revealing notable variations in methods and policies across regions and demographics.
  • - A total of 30 studies from 2003 to 2023 were included, with most focusing on outpatient settings, primarily in academic hospital systems, and largely using custom screening tools rather than standardized ones.
  • - The findings highlight a lack of consistency in screening and response programs, indicating the need for standardized definitions and methods to improve effectiveness and comparability in future research.
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Background: Patients newly diagnosed with diabetes mellitus (diabetes), who require insulin must acquire diabetes "survival" skills prior to discharge home. COVID-19 revealed considerable limitations of traditional in-person, time-intensive delivery of diabetes education and survival skills training (diabetes survival skills training). Furthermore, diabetes survival skills training has not been designed to meet the specific learning needs of patients with diabetes and their caregivers, particularly if delivered by telehealth.

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Northwestern University's Center for Scalable Telehealth Cancer Care (STELLAR) is 1 of 4 Cancer Moonshot Telehealth Research Centers of Excellence programs funded by the National Cancer Institute to establish an evidence base for telehealth in cancer care. STELLAR is grounded in the Institute of Medicine's vision that quality cancer care includes not only disease treatment but also promotion of long-term health and quality of life (QOL). Cigarette smoking, insufficient physical activity, and overweight and obesity often co-occur and are associated with poorer treatment response, heightened recurrence risk, decreased longevity, diminished QOL, and increased treatment cost for many cancers.

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Article Synopsis
  • A study analyzed infection and rejection outcomes in liver and heart transplant patients based on their postoperative insulin resistance, measured by peak insulin drip rates.
  • In liver transplant patients (n = 207), those in the highest insulin drip quartile (Q4) experienced significantly fewer infections (42.3% vs. 60.0%) and borderline fewer rejection episodes (25.0% vs. 40.0%) compared to lower quartiles.
  • Similarly, heart transplant patients (n = 188) in Q4 had significantly fewer infections (19.1% vs. 53.9%). The study suggests that a stronger counter-regulatory response to insulin resistance might correlate with better infection response and overall health.
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Background: The "unbefriended" patient does not demonstrate capacity to make their own medical decisions, does not have an advance directive, and lacks a surrogate decision maker. For these patients without a designated health care proxy, hospitals may need to petition for public guardianship, a notoriously arduous process with undefined impact on hospital resources.

Objective: The objective of this study was to describe the characteristics, system needs, and financial impact of unrepresented inpatients in an academic, tertiary care, urban medical center.

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Background: Posttransplant hyperglycemia has been associated with increased risks of transplant rejection, infections, length of stay, and mortality.

Methods: To establish a predictive model to identify nondiabetic recipients at risk for developing postliver transplant (LT) hyperglycemia, we performed this secondary, retrospective data analysis of a single-center, prospective, randomized, controlled trial of glycemic control among 107 adult LT recipients in the inpatient period. Hyperglycemia was defined as a posttransplant glucose level greater than 200 mg/dL after initial discharge up to 1 month following surgery.

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Objective: To characterize the types of hyperglycemia that occur up to 1 year following liver transplant and to clarify the nomenclature for posttransplant hyperglycemia.

Design: We analyzed 1-year glycemic follow-up data in 164 patients who underwent liver transplant and who had been enrolled in a randomized controlled trial comparing moderate to intensive insulin therapy to determine if patients had preexisting known diabetes, transient hyperglycemia, persistent hyperglycemia, or new-onset diabetes after transplantation (NODAT).

Results: Of 119 patients with posttransplant hyperglycemia following hospital discharge, 49 had preexisting diabetes, 5 had insufficient data for analysis, 48 had transient hyperglycemia (16 resolved within 30 days and 32 resolved between 30 days and 1 year), 13 remained persistently hyperglycemic out to 1 year and most likely had preexisting diabetes that had not been diagnosed or insulin resistance/insulinopenia prior to transplant, and 4 had NODAT (, patients with transient hyperglycemia after transplant that resolved but then later truly developed sustained hyperglycemia, meeting criteria for diabetes).

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Background: More than 100 million individuals in the USA have been diagnosed with a chronic disease, yet chronic disease care has remained fragmented and of inconsistent quality. Improving chronic disease management has been challenging for primary care and internal medicine practitioners. Practice facilitation provides a comprehensive approach to chronic disease care.

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Aims: This study validated enterprise data warehouse (EDW) data for a cohort of hospitalized patients with a primary diagnosis of diabetic ketoacidosis (DKA).

Methods: 247 patients with 319 admissions for DKA (ICD-9 code 250.12, 250.

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Objectives: Describe the application of a risk assessment to identify failures in the hospital discharge process of a high-risk patient group, liver transplant (LT) recipients with diabetes mellitus (DM) and/or hyperglycaemia who require high-risk medications.

Design: A Failure Modes, Effects and Criticality Analysis (FMECA) of the hospital discharge process of LT recipients with DM and/or hyperglycaemia who required DM education and training before discharge was conducted using information from clinicians, patients and data extraction from the electronic health records (EHR). Failures and their causes were identified and the frequency and characteristics (harm, detectability) of each failure were assigned using a score of low/best (1) to high/worst (10); a Criticality Index (CI=Harm×Frequency) and a Risk Priority Number (RPN=Harm×Frequency×Detection) were also calculated.

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Context: Previous studies have shown a relationship between glycemic control and posttransplant morbidity.

Objective: We conducted a prospective randomized controlled trial in postliver transplant patients to evaluate intensive inpatient glycemic control and effects on outcomes to 1 year.

Research Design And Intervention: A total of 164 patients [blood glucose (BG) >180 mg/dL] were randomized into 2 target groups: 82 with a BG of 140 mg/dL and 82 with a BG of 180 mg/dL.

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