Peak insulin drip rate associated with decreased infections post-solid organ transplant.

Infection and rejection outcomes were retrospectively analyzed in patients following liver transplant and separately following heart transplant with patients being stratified by their severity of immediate postoperative insulin resistance as measured by the peak insulin drip rate that was required to reduce glucose levels. For each group, these peak insulin drip rates were divided into quartiles (Q). In liver transplant patients (n = 207), those in Q4 (highest infusion rate) had significantly fewer infections up to 6 months post-transplant (42.3% vs. 60.0%, p = .036) and borderline fewer rejection episodes (25.0% vs. 40.0%, p = .066) compared to Q1-Q3 patients. To confirm these unexpected results, a subsequent similar analysis in heart transplant (n = 188) patients again showed that Q4 patients had significantly fewer infections up to 6 months (19.1% vs. 53.9%, p < .0001) compared to Q1-Q3 patients. Logistic regression in a subset of 103 cardiac transplant patients showed that the maximum glucose during surgery, prior MI, and hypertension were associated with severe insulin resistance (SIR) status, while the presence of pre-existing diabetes and BMI were not. We hypothesize that patients are who are able to mount a more robust counter-regulatory response that causes the insulin resistance may be healthier and thus able to mount a better response to infections.

Impact of Practice Facilitation in Primary Care on Chronic Disease Care Processes and Outcomes: a Systematic Review.

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. The objective is to evaluate the impact of practice facilitation on chronic disease outcomes in the primary care setting. METHODS: This systematic review examined North American studies from PubMed, EMBASE, and Web of Science (database inception to August 2017). Investigators independently extracted and assessed the quality of the data on chronic disease process and clinical outcome measures. Studies implemented practice facilitation and reported quantifiable care processes and patient outcomes for chronic disease. Each study and their evidence were assessed for risk of bias and quality according to the Cochrane Collaboration and the Grade Collaboration tool. RESULTS: This systematic review included 25 studies: 12 randomized control trials and 13 prospective cohort studies. Across all studies, practices and their clinicians were aware of the implementation of practice facilitation. Improvements were observed in most studies for chronic diseases including asthma, cancer (breast, cervical, and colorectal), cardiovascular disease (cerebrovascular disease, coronary artery disease, dyslipidemia, hypertension, myocardial infarction, and peripheral vascular disease), and type 2 diabetes. Mixed results were observed for chronic kidney disease and chronic illness care. DISCUSSION: Overall, the results suggest that practice facilitation may improve chronic disease care measures. Across all studies, practices were aware of practice facilitation. These findings lend support for the potential expansion of practice facilitation in primary care. Future work will need to investigate potential opportunities for practice facilitation to improve chronic disease outcomes in other health care settings (e.g., specialty and multi-specialty practices) with standardized measures.

Housing Instability Screening and Referral Programs: A Scoping Review.

BACKGROUND: Housing instability in the United States is a critical social determinant of health, influencing health outcomes and health care utilization. This scoping review aimed to analyze literature on US health system screening and response programs addressing housing instability, highlighting methodologies, geographic and demographic variations, and policy implications. METHODS: Adhering to PRISMA-ScR guidelines, the review included studies focusing on US health systems that screen and refer for housing instability. Major scholarly databases, including PubMed and Scopus, were queried. Screening and response program characteristics, methodologies, and outcomes were characterized. RESULTS: Thirty studies published between 2003 and 2023 were included in this study. Included studies were primarily cross-sectional (26.7%) or quality improvement (20.0%), among 9 other designs. Screening programs were predominantly implemented in academic hospital systems (46.7%) and in the Northeast (63.3%). Of the 25 adult population studies, 68.0% were in outpatient settings, and of the 23 studies providing detailed information on their process, 52.2% used electronic health record entry. Of the 22 studies that describe their screening tool, 15 used institution-specific tools, and only 4 of the remaining 7 studies used identical tools. Of the 20 studies that described their response to positive screenings, 13 provided patients with a paper or electronic referral to a collaborating community partner, while only 6 aided the patient in connecting with community resources. CONCLUSION: This study found significant variability in screening and response programs for housing instability among US health care providers. A lack of standardized definitions and methodologies hampers effective comparison and implementation of these programs. Future research should focus on standardizing screening methods and measurement of interventions and outcomes to address housing instability.

Employing user-centered design and education sciences to inform training of diabetes survival skills.

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. The objective of the study was to identify and understand the needs of users (patients newly prescribed insulin and their caregivers) to inform the design of a diabetes survival skills training, specifically for telehealth delivery, through the application of user-centered design and adult learning and education principles. Methods: Users included patients newly prescribed insulin, their caregivers, and laypersons without diabetes. In semi-structured interviews, users were asked about experienced or perceived challenges in learning diabetes survival skills. Interviews were audio-recorded and transcribed. Investigators performed iterative rounds of coding of interview transcripts utilizing a constant comparative method to identify themes describing the dominant challenges users experienced. Themes were then mapped to adult learning and education principles to identify novel educational design solutions that can be applied to telehealth-based learning. Results: We interviewed 18 users: patients (N = 6, 33 %), caregivers (N = 4, 22 %), and laypersons (N = 8, 44 %). Users consistently described challenges in understanding diabetes survival skills while hospitalized; in preparing needed supplies to execute diabetes survival skills; and in executing diabetes survival skills at home. The challenges mapped to three educational strategies: (1) spiral learning; (2) repetitive goal directed practice and feedback, which have the potential to translate into design solutions supporting remote/virtual learning; and (3) form fits function organizer, which supports safe organization and use of supplies to execute diabetes survival skills independently. Conclusion: Learning complex tasks, such as diabetes survival skills, requires time, repetition, and continued support. The combination of a user-centered design approach to uncover learning needs as well as identification of relevant adult learning and education principles could inform the design of more user-centered, feasible, effective, and sustainable diabetes survival skills training for telehealth delivery.

Scalable Telehealth Cancer Care: integrated healthy lifestyle program to live well after cancer treatment.

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. These risk behaviors are prevalent in cancer survivors, but their treatment is not routinely integrated into oncology care. STELLAR aims to foster patients' long-term health and QOL by designing, implementing, and sustaining a novel telehealth treatment program for multiple risk behaviors to be integrated into standard cancer care. Telehealth delivery is evidence-based for health behavior change treatment and is well suited to overcome access and workflow barriers that can otherwise impede treatment receipt. This paper describes STELLAR's 2-arm randomized parallel group pragmatic clinical trial comparing telehealth-delivered, coach-facilitated multiple risk behavior treatment vs self-guided usual care for the outcomes of reach, effectiveness, and cost among 3000 cancer survivors who have completed curative intent treatment. This paper also discusses several challenges encountered by the STELLAR investigative team and the adaptations developed to move the research forward.

Hospital Guardianship: A Quality Needs Assessment of "Unbefriended" Patients Who Lack Decisional Capacity.

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. METHODS: The Northwestern Memorial Hospital Quality and Patient Safety Committee approved a systematic needs assessment. Retrospective chart review was conducted for patients admitted from September 1, 2013 to August 31, 2019 for whom the hospital petitioned for a public guardian. RESULTS: From fiscal years 2014 to 2019, 156 patients were petitioned for public guardianship. The number of cases rose sequentially from 8 in 2014 to 44 in 2019. The 2 most common conditions that impaired capacity were neurocognitive disorders (56.4%) and psychotic disorders (17.9%). The psychiatry consultation service consulted 71.2% of cases vs 71.1%. There were 2347 medically unnecessary hospital days related to the pursuit of guardianship, and the associated costs to the health system were estimated to be more than $5.8 million. CONCLUSIONS: The number of unbefriended patients who lacked decisional capacity necessitating public guardianship dramatically escalated over 5 years. These patients had high rates of homelessness and psychiatric illness, consistent with previous research. Further investigation is needed to understand and address the needs of this vulnerable population.

Development of a Predictive Model for Hyperglycemia in Nondiabetic Recipients After Liver Transplantation.

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. Candidate variables with P less than 0.10 in univariate analyses were used to build a multivariable logistic regression model using forward stepwise selection. The final model chosen was based on statistical significance and additive contribution to the model based on the Bayesian Information Criteria. RESULTS: Forty-three (40.2%) patients had at least 1 episode of hyperglycemia after transplant after the resolution of the initial postoperative hyperglycemia. Variables selected for inclusion in the model (using model optimization strategies) included length of hospital stay (odds ratio [OR], 0.83; P < 0.001), use of glucose-lowering medications at discharge (OR, 3.76; P = 0.03), donor female sex (OR, 3.18; P = 0.02) and donor white race (OR, 3.62; P = 0.01). The model had good calibration (Hosmer-Lemeshow goodness-of-fit test statistic = 9.74, P = 0.28) and discrimination (C-statistic = 0.78; 95% confidence interval, 0.65-0.81, bias-corrected C-statistic = 0.78). CONCLUSIONS: Shorter hospital stay, use of glucose-lowering medications at discharge, donor female sex and donor white race are important determinants in predicting hyperglycemia in nondiabetic recipients after hospital discharge up to 1 month after liver transplantation.

Hyperglycemia in the Posttransplant Period: NODAT vs Posttransplant Diabetes Mellitus.

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 (i.e., patients with transient hyperglycemia after transplant that resolved but then later truly developed sustained hyperglycemia, meeting criteria for diabetes). CONCLUSIONS: Distinct categories of patients with hyperglycemia following organ transplant include known preexisting diabetes, persistent hyperglycemia (most likely unknown preexisting diabetes or insulin resistance/insulinopenia), transient hyperglycemia, and NODAT. Those with preexisting diabetes for many years prior to transplant may well have very different long-term outcomes compared with those with true NODAT. Therefore, it would be prudent to classify patients more carefully. Long-term outcome studies are needed to determine if patients with true NODAT have the same poor prognosis as patients with preexisting diabetes (diagnosed and undiagnosed) undergoing transplant.

Risk assessment of the hospital discharge process of high-risk patients with diabetes.

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. SETTING: An academic, tertiary care centre in Chicago, Illinois. PARTICIPANTS: Healthcare providers (N=31) including physicians (n= 6), advanced practice providers (n=12), nurses (n=6), pharmacists (n= 4), staff (n=3) and patients (n=6) and caregivers (n=3) participated in the FMECA; EHR data for LT recipients with DM or hyperglycaemia (N=100) were collected. RESULTS: Of 78 identified failures, the most critical failures (n=15; RPNs=700, 630, 560; CI=70) were related to variability in delivery of diabetes education and training, care coordination and medication prescribing patterns of providers. Underlying causes included timing of patient education, lack of assessment of patients' knowledge and industry-level design failures of healthcare products (eg, EHR, insulin pen). CONCLUSION: Most identified critical failures are preventable and suggest the need for the design of interventions, informed by the failures identified by this FMECA, to mitigate safety risks and improve outcomes of high-risk patient populations.

Validation of data from electronic data warehouse in diabetic ketoacidosis: Caution is needed.

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, 250.13, or 250.xx with biochemical criteria for DKA) were admitted to Northwestern Memorial Hospital from 1/1/2010 to 9/1/2013. Validation was performed by electronic medical record (EMR) review of 10% of admissions (N = 32). Classification of diabetes type (Type 1 vs. Type 2) and DKA clinical status were compared between the EMR review and EDW data. RESULTS: Key findings included incorrect classification of diabetes type in 5 of 32 (16%) admissions and indeterminable classification in 5 admissions. DKA was not present, based on the review, in 11 of 32 (34%) admissions. DKA was not present, based on biochemical criteria, in 15 of 32 (47%) admissions. CONCLUSIONS: This study found that EDW data have substantial errors. Some discrepancies can be addressed by refining the EDW query code, while others, related to diabetes classification and DKA diagnosis, cannot be corrected without improving clinical coding accuracy, consistency of medical record documentation, or EMR design. These results support the need for comprehensive validation of data for complex clinical populations obtained through data repositories such as the EDW.

Glycemic Control Reduces Infections in Post-Liver Transplant Patients: Results of a Prospective, Randomized Study.

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. Continuous insulin infusions were initiated and then converted to subcutaneous basal bolus insulin therapy by our glucose management service. Results: The inpatient mean BG level was significantly different (140 group, 151.4 ± 19.5 mg/dL vs 180 group, 172.6 ± 27.9 mg/dL; P < 0.001). Any infection within 1 year occurred in 35 of the 82 patients (42.7%) in the 140 group and 54 of 82 (65.9%) in the 180 group (P = 0.0046). In a time-to-first infection analysis, being in the 140 group resulted in a hazard ratio of 0.54 (95% confidence interval, 0.35 to 0.83; P = 0.004); the difference between the 2 groups was statistically significant at 1 month (P = 0.008). The number with adjudicated transplant rejection was similar between the 2 groups [17 of 82 (20.7%) and 20 of 82 (24.3%) in the 140 and 180 groups, respectively; P = not significant]. Severe hypoglycemia (BG ≤40 mg/dL) occurred in 3 patients (2 in the 140 group and 1 in the 180 group). However, more patients had moderate hypoglycemia (BG, 41 to 70 mg/dL) in the 140 group [27 of 82 (32.9%) vs 10 of 82 (12.2%) in the 180 group; P = 0.003]. Insulin-related hypoglycemia was not associated with the incidence of severe adverse outcomes. Conclusions: Glycemic control of 140 mg/dL safely resulted in a reduced incidence of infection after transplantation compared with 180 mg/dL, but with an increase in moderate hypoglycemia.