A Scoping Review of the Relation Between Toothbrushing and Diabetes Knowledge, Glycemic Control, and Oral Health Outcomes in People With Type 2 Diabetes.

Objective: Given the bidirectional relationship between type 2 diabetes and periodontal disease, this study sought to compile the available data regarding the relationship between home oral hygiene, specifically toothbrushing, and glycemic control and oral health in people with type 2 diabetes. Methods: A systematic scoping review was conducted using a combination of controlled vocabulary and keyword terms for type 2 diabetes and home oral care in PubMed and CINHAL. Publications from the past 20 years were considered for inclusion. Study data were summarized. Results: A total of 11 studies met our inclusion criteria. In all survey research identified, self-report of more frequent toothbrushing in people with type 2 diabetes was always found to be associated with self-report of better glycemic control and was often associated with better clinician-conducted measures oral health. In the interventional studies identified, health coaching about oral health was associated with improvements in glycemic control, and health coaching compared with health education was found to be associated with enhanced improvement in glycemic control and self-reported toothbrushing behavior. Conclusion: The available data suggest that improved engagement in toothbrushing behavior may be associated with improved oral health and better glycemic control in people with type 2 diabetes. Whether improvement in glycemic control is a direct result of change to the oral environment, succeeding with one behavior change stimulating engagement in other health behavior changes, a combination of the two, or something else cannot be determined from this review. Additional studies are needed to further explore the potential for oral health coaching to improve the well-being of people with type 2 diabetes.

European NCAP Driver State Monitoring Protocols: Prevalence of Distraction in Naturalistic Driving.

OBJECTIVE: examine the prevalence of driver distraction in naturalistic driving when implementing European New Car Assessment Program (Euro NCAP)-defined distraction behaviours. BACKGROUND: The 2023 introduction of Occupant Status monitoring (OSM) into Euro NCAP will accelerate uptake of Driver State Monitoring (DSM). Euro NCAP outlines distraction behaviours that DSM must detect to earn maximum safety points. Distraction behaviour prevalence and driver alerting and intervention frequency have yet to be examined in naturalistic driving. METHOD: Twenty healthcare workers were provided with an instrumented vehicle for approximately two weeks. Data were continuously monitored with automotive grade DSM during daily work commutes, resulting in 168.8 hours of driver head, eye and gaze tracking. RESULTS: Single long distraction events were the most prevalent, with .89 events/hour. Implementing different thresholds for driving-related and driving-unrelated glance regions impacts alerting rates. Lizard glances (primarily gaze movement) occurred more frequently than owl glances (primarily head movement). Visual time-sharing events occurred at a rate of .21 events/hour. CONCLUSION: Euro NCAP-described driver distraction occurs naturalistically. Lizard glances, requiring gaze tracking, occurred in high frequency relative to owl glances, which only require head tracking, indicating that less sophisticated DSM will miss a substantial amount of distraction events. APPLICATION: This work informs OEMs, DSM manufacturers and regulators of the expected alerting rate of Euro NCAP defined distraction behaviours. Alerting rates will vary with protocol implementation, technology capability, and HMI strategies adopted by the OEMs, in turn impacting safety outcomes, user experience and acceptance of DSM technology.

Implications of remote monitoring Technology in Optimizing Traditional Self-Monitoring of blood glucose in adults with T2DM in primary care.

BACKGROUND: Self-monitoring of blood glucose (SMBG) has been shown to reduce hemoglobin A1C (HbA1C). Accordingly, guidelines recommend SMBG up to 4-10 times daily for adults with type 2 diabetes (T2DM) on insulin. For persons not on insulin, recommendations are equivocal. Newer technology-enabled blood glucose monitoring (BGM) devices can facilitate remote monitoring of glycemic data. New evidence generated by remote BGM may help to guide best practices for frequency and timing of finger-stick blood glucose (FSBG) monitoring in uncontrolled T2DM patients managed in primary care settings. This study aims to evaluate the impact of SMBG utility and frequency on glycemic outcomes using a novel BGM system which auto-transfers near real-time FSBG data to a cloud-based dashboard using cellular networks. METHODS: Secondary analysis of the intervention arm of a comparative non-randomized trial with propensity-matched chart controls. Adults with T2DM and HbA1C > 9% receiving care in five primary care practices in a healthcare system participated in a 3-month diabetes boot camp (DBC) using telemedicine and a novel BGM to support comprehensive diabetes care management. The primary independent variable was frequency of FSBG. Secondary outcomes included frequency of FSBG by insulin status, distribution of FSBG checks by time of day, and hypoglycemia rates. RESULTS: 48,111 FSBGs were transmitted by 359 DBC completers. Participants performed 1.5 FSBG checks/day; with 1.6 checks/day for those on basal/bolus insulin. Higher FSBG frequency was associated with greater improvement in HbA1C independent of insulin treatment status (p = 0.0003). FSBG frequency was higher in patients treated with insulin (p = 0.003). FSBG checks were most common pre-breakfast and post-dinner. Hypoglycemia was rare (1.2% < 70 mg/dL). CONCLUSIONS: Adults with uncontrolled T2DM achieved significant HbA1C improvement performing just 1.5 FSBGs daily during a technology-enabled diabetes care intervention. Among the 40% taking insulin, this improvement was achieved with a lower FSBG frequency than guidelines recommend. For those not on insulin, despite a lower frequency of FSBG, they achieved a greater reduction in A1C compared to patients on insulin. Low frequency FSBG monitoring pre-breakfast and post-dinner can potentially support optimization of glycemic control regardless of insulin status in the primary care setting. TRIAL REGISTRATION: Trial registration number: NCT02925312 (10/19/2016).

Posttransplant Complications Predict Alcohol Relapse in Liver Transplant Recipients.

Alcohol relapse after liver transplantation (LT) in patients with alcohol-related liver disease (ALD) is a major challenge. Although its association with pretransplant psychosocial factors was extensively studied, the impacts of posttransplant courses on alcohol relapse have not been well investigated. The aim of this study is to analyze peritransplant factors associated with posttransplant alcohol relapse in patients with ALD. This study evaluated 190 adult LT patients with ALD from 2013 to 2019. Risk factors for alcohol relapse were analyzed, focusing on posttransplant chronic complications, which were classified as Clavien-Dindo classification 3a or higher that lasted over 30 days. The posttransplant alcohol relapse rate was 13.7% (26/190) with a median onset time of 18.6 months after transplant. Multivariate Cox regression analysis revealed that posttransplant chronic complications were an independent risk factor for posttransplant alcohol relapse (hazard ratio [HR], 5.40; P = 0.001), along with psychiatric comorbidity (HR, 3.93; P = 0.001), history of alcohol relapse before LT (HR, 3.00; P = 0.008), and an abstinence period <1.5 years (HR, 12.05; P = 0.001). A risk prediction model was created using 3 pretransplant risk factors (psychiatric comorbidity, alcohol relapse before LT, and abstinence period <1.5 years). This model clearly stratified the risk of alcohol relapse into high-, moderate-, and low-risk groups (P < 0.001). Of the 26 patients who relapsed, 11 (42.3%) continued drinking, of whom 3 died of severe alcoholic hepatitis, and 13 (50.0%) achieved sobriety (outcomes for 2 patients were unknown). In conclusion, posttransplant chronic complications increased the risk of alcohol relapse. Recognition of posttransplant chronic complications in conjunction with the risk stratification model by pretransplant psychosocial factors would help with the prediction of posttransplant alcohol relapse.

A PERIOD3 variable number tandem repeat polymorphism modulates melatonin treatment response in delayed sleep-wake phase disorder.

We examined whether a polymorphism of the PERIOD3 gene (PER3; rs57875989) modulated the sleep-promoting effects of melatonin in Delayed Sleep-Wake Phase Disorder (DSWPD). One hundred and four individuals (53 males; 29.4 ±10.0 years) with DSWPD and a delayed dim light melatonin onset (DLMO) collected buccal swabs for genotyping (PER34/4 n = 43; PER3 5 allele [heterozygous and homozygous] n = 60). Participants were randomised to placebo or 0.5 mg melatonin taken 1 hour before desired bedtime (or ~1.45 hours before DLMO), with sleep attempted at desired bedtime (4 weeks; 5-7 nights/week). We assessed sleep (diary and actigraphy), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Patient-Reported Outcomes Measurement Information System (PROMIS: Sleep Disturbance, Sleep-Related Impairment), Sheehan Disability Scale (SDS) and Patient- and Clinician-Global Improvement (PGI-C, CGI-C). Melatonin treatment response on actigraphic sleep onset time did not differ between genotypes. For PER34/4 carriers, self-reported sleep onset time was advanced by a larger amount and sleep onset latency (SOL) was shorter in melatonin-treated patients compared to those receiving placebo (P = .008), while actigraphic sleep efficiency in the first third of the sleep episode (SE T1) did not differ. For PER3 5 carriers, actigraphic SOL and SE T1 showed a larger improvement with melatonin (P < .001). Melatonin improved ISI (P = .005), PROMIS sleep disturbance (P < .001) and sleep-related impairment (P = .017), SDS (P = .019), PGI-C (P = .028) and CGI-C (P = .016) in PER34/4 individuals only. Melatonin did not advance circadian phase. Overall, PER34/4 DSWPD patients have a greater response to melatonin treatment. PER3 genotyping may therefore improve DSWPD patient outcomes.

Effects of face masks on acoustic analysis and speech perception: Implications for peri-pandemic protocols.

Wearing face masks (alongside physical distancing) provides some protection against infection from COVID-19. Face masks can also change how people communicate and subsequently affect speech signal quality. This study investigated how three common face mask types (N95, surgical, and cloth) affected acoustic analysis of speech and perceived intelligibility in healthy subjects. Acoustic measures of timing, frequency, perturbation, and power spectral density were measured. Speech intelligibility and word and sentence accuracy were also examined using the Assessment of Intelligibility of Dysarthric Speech. Mask type impacted the power distribution in frequencies above 3 kHz for the N95 mask, and above 5 kHz in surgical and cloth masks. Measures of timing and spectral tilt mainly differed with N95 mask use. Cepstral and harmonics to noise ratios remained unchanged across mask type. No differences were observed across conditions for word or sentence intelligibility measures; however, accuracy of word and sentence translations were affected by all masks. Data presented in this study show that face masks change the speech signal, but some specific acoustic features remain largely unaffected (e.g., measures of voice quality) irrespective of mask type. Outcomes have bearing on how future speech studies are run when personal protective equipment is worn.

Diabetes Education for Behavioral Health Inpatients: Challenges and Opportunities.

OBJECTIVE: To adapt a diabetes survival skills education (DSSE) program for delivery on inpatient behavioral health units (BHUs) and to evaluate implementation feasibility within nursing unit workflow. METHODS: We employed mixed methods to codesign, implement, and evaluate a DSSE program for inpatient BHUs. The Diabetes to Go core program incorporates linking knowledge deficits to video education content, a companion book on diabetes survival skills, and education for nurses on delivery processes and teaching content. The Diabetes to Go adaptation for BHUs was codesigned in partnership with BHU staff and patients. Implementation evaluation included patient surveys and nursing staff feedback obtained during field observations. RESULTS: A total of 89 patients participated in nine group education sessions among whom 17 (20%) had diabetes. Nursing unit staff and patients expressed willingness to engage in program design. Barriers to implementation were encountered in both groups including lack of standardization of education content by nurse facilitators and difficulty engaging patients for the time required for completion of surveys plus group education. Preferred education media for both nurses and patients was a book. Diabetes knowledge deficits were identified among over two thirds of participants with diabetes. CONCLUSIONS: Group class may not be the optimal delivery model for specialized DSSE on BHUs. It remains to be determined if individual diabetes education alone or a model which combines individual and group sessions is preferable. Translation of standardized approaches for diabetes education on inpatient BHUs will require further redesign to meet the unique needs of this population.

Inpatient Diabetes Education in the Real World: an Overview of Guidelines and Delivery Models.

PURPOSE OF REVIEW: Diabetes self-management education and support improves diabetes-related outcomes, yet less than 50% of persons with diabetes in the USA receive this service. Hospital admissions present a critical opportunity for providing diabetes education. This article presents an overview of the current state of inpatient diabetes education. It incorporates a summary of existing guidance relative to content followed by an overarching discussion of existing inpatient diabetes education models and their reported outcomes, when available. RECENT FINDINGS: As diabetes rates continue to soar and adults with diabetes continue to have high hospitalization and readmission rates, hospitals face challenges in assessing and meeting diabetes patients' educational needs. The consensus recommendation for inpatient diabetes teaching is to provide survival skills education to enable safe self-management following discharge until more comprehensive outpatient education can be provided. Established and emerging models for delivery of diabetes survival skills education in the hospital may be broadly grouped as diabetes-specialty care models, diabetes non-specialty care models, and technology-supported diabetes education. These models are often shaped by the availability of diabetes specialists, including endocrinologists and diabetes educators-or lack thereof, and staffing resources for provision of services. Recent studies suggest that all three approaches can be deployed successfully if well planned. This article presents an overview of the current state of inpatient diabetes education. It incorporates a summary of existing guidance relative to content followed by an overarching discussion of existing inpatient diabetes education models and their reported outcomes, when available. The authors seek to make the reader aware of the heterogeneous approaches that are being implemented nationwide for inpatient diabetes education delivery. Meeting inpatient diabetes educational needs will require a sustained effort, diverse strategies based on resources available, and additional research to explore the impact of these strategies on outcomes.

Gleaning Information for Cognitive Operations from Don't Know Responses in Cognitive and Noncognitive Assessments.

The Don't Know (DK) response - taking the form of an omitted response or not-reached at the end of a cognitive test, or explicitly presented as a response option in a social survey - contains important information that is often overlooked. Direct psychometric modeling efforts for DK responses are few and far between. In this article, the linear logistic test model (LLTM) is proposed for delineating the impacts of cognitive operations for a test that contains DK responses. We assume that the DK response is a valid response. The assumption is reasonable for many situations, including low-stakes cognitive tests and attitudinal assessments. By extracting information embedded in the DK response, the method shows how DK can inform the latent construct of interest and the cognitive operations underlying the response to stimuli. Using a proven recoding scheme, the LLTM could be implemented through commonly used programs such as PROC GLIMMIX. Two simulation experiments to evaluate how well the parameters can be recovered were conducted. In addition, two real data examples, from a noncognitive test of health belief assessment and a cognitive test of knowledge in diabetes, are also presented as case studies to illustrate the LLTM for DK response.

Redesigning Hospital Diabetes Education: A Qualitative Evaluation With Nursing Teams.

BACKGROUND: Methods to deliver diabetes education are needed to support patient safety and glycemic control in the transition from hospital to home. PURPOSE: This study examined barriers and facilitators of integrating web-based, iPad-delivered diabetes survival skills education (DSSE) into the nursing inpatient unit workflow. METHODS: Nurses, nurse managers, and patient care technicians (PCTs) from 3 medical-surgical and 2 behavioral health units participated in semistructured interviews and focus groups. RESULTS: Four themes emerged: educational program and content; platform usability; tablet feasibility (eg, theft prevention, infection control, and charging); and workflow considerations. Behavioral health unit-specific concerns were also identified. Findings indicated that nurses and PCTs were eager to find approaches to deliver DSSE. CONCLUSIONS: Implementation of a web-based DSSE program for inpatients needs adaptation to overcome challenges at the patient, care team, and process levels.

Temporal dynamics of circadian phase shifting response to consecutive night shifts in healthcare workers: role of light-dark exposure.

KEY POINTS: Shift work is highly prevalent and is associated with significant adverse health impacts. There is substantial inter-individual variability in the way the circadian clock responds to changing shift cycles. The mechanisms underlying this variability are not well understood. We tested the hypothesis that light-dark exposure is a significant contributor to this variability; when combined with diurnal preference, the relative timing of light exposure accounted for 71% of individual variability in circadian phase response to night shift work. These results will drive development of personalised approaches to manage circadian disruption among shift workers and other vulnerable populations to potentially reduce the increased risk of disease in these populations. ABSTRACT: Night shift workers show highly variable rates of circadian adaptation. This study examined the relationship between light exposure patterns and the magnitude of circadian phase resetting in response to night shift work. In 21 participants (nursing and medical staff in an intensive care unit) circadian phase was measured using 6-sulphatoxymelatonin at baseline (day/evening shifts or days off) and after 3-4 consecutive night shifts. Daily light exposure was examined relative to individual circadian phase to quantify light intensity in the phase delay and phase advance portions of the light phase response curve (PRC). There was substantial inter-individual variability in the direction and magnitude of phase shift after three or four consecutive night shifts (mean phase delay -1:08 ± 1:31 h; range -3:43 h delay to +3:07 h phase advance). The relative difference in the distribution of light relative to the PRC combined with diurnal preference accounted for 71% of the variability in phase shift. Regression analysis incorporating these factors estimated phase shift to within ±60 min in 85% of participants. No participants met criteria for partial adaptation to night work after three or four consecutive night shifts. Our findings provide evidence that the phase resetting that does occur is based on individual light exposure patterns relative to an individual's baseline circadian phase. Thus, a 'one size fits all' approach to promoting adaptation to shift work using light therapy, implemented without knowledge of circadian phase, may not be efficacious for all individuals.

Efficacy of melatonin with behavioural sleep-wake scheduling for delayed sleep-wake phase disorder: A double-blind, randomised clinical trial.

BACKGROUND: Delayed Sleep-Wake Phase Disorder (DSWPD) is characterised by sleep initiation insomnia when attempting sleep at conventional times and difficulty waking at the required time for daytime commitments. Although there are published therapeutic guidelines for the administration of melatonin for DSWPD, to our knowledge, randomised controlled trials are lacking. This trial tested the efficacy of 0.5 mg melatonin, combined with behavioural sleep-wake scheduling, for improving sleep initiation in clinically diagnosed DSWPD patients with a delayed endogenous melatonin rhythm relative to patient-desired (or -required) bedtime (DBT). METHODS: This randomised, placebo-controlled, double-blind clinical trial was conducted in an Australian outpatient DSWPD population. Following 1-wk baseline, clinically diagnosed DSWPD patients with delayed melatonin rhythm relative to DBT (salivary dim light melatonin onset [DLMO] after or within 30 min before DBT) were randomised to 4-wk treatment with 0.5 mg fast-release melatonin or placebo 1 h before DBT for at least 5 consecutive nights per week. All patients received behavioural sleep-wake scheduling, consisting of bedtime scheduled at DBT. The primary outcome was actigraphic sleep onset time. Secondary outcomes were sleep efficiency in the first third of time in bed (SE T1) on treatment nights, subjective sleep-related daytime impairment (Patient Reported Outcomes Measurement Information System [PROMIS]), PROMIS sleep disturbance, measures of daytime sleepiness, clinician-rated change in illness severity, and DLMO time. FINDINGS: Between September 13, 2012 and September 1, 2014, 307 participants were registered; 116 were randomised to treatment (intention-to-treat n = 116; n = 62 males; mean age, 29.0 y). Relative to baseline and compared to placebo, sleep onset occurred 34 min earlier (95% confidence interval [CI] -60 to -8) in the melatonin group. SE T1 increased; PROMIS sleep-related impairment, PROMIS sleep disturbance, insomnia severity, and functional disability decreased; and a greater proportion of patients showed more than minimal clinician-rated improvement following melatonin treatment (52.8%) compared to placebo (24.0%) (P < 0.05). The groups did not differ in the number of nights treatment was taken per protocol. Post-treatment DLMO assessed in a subset of patients (n = 43) was not significantly different between groups. Adverse events included light-headedness, daytime sleepiness, and decreased libido, although rates were similar between treatment groups. The clinical benefits or safety of melatonin with long-term treatment were not assessed, and it remains unknown whether the same treatment regime would benefit patients experiencing DSWPD sleep symptomology without a delay in the endogenous melatonin rhythm. CONCLUSIONS: In this study, melatonin treatment 1 h prior to DBT combined with behavioural sleep-wake scheduling was efficacious for improving objective and subjective measures of sleep disturbances and sleep-related impairments in DSWPD patients with delayed circadian phase relative to DBT. Improvements were achieved largely through the sleep-promoting effects of melatonin, combined with behavioural sleep-wake scheduling. TRIAL REGISTRATION: This trial was registered with the Australian New Zealand Clinical Trials Registry, ACTRN12612000425897.

Transitioning the Adult with Type 2 Diabetes From the Acute to Chronic Care Setting: Strategies to Support Pragmatic Implementation Success.

Scientific evidence is available to guide the how to of medications management when patients with diabetes are hospitalized or present to the Emergency Department. However, few clinical trials in the diabetes field have addressed the execution, coupled with established implementation effectiveness evaluation frameworks to help inform and assess implementation practices to support the transition in care. These deficiencies may be overcome by (1) applying the principles of implementation and delivery systems science; (2) engaging the principles of human factors (HF) throughout the design, development, and evaluation planning activities; and (3) utilizing mixed methods to design the intervention, workflow processes, and evaluate the intervention for sustainability within existing care delivery models. This article provides a discussion of implementation science and human factors science including an overview of commonly used frameworks which can be applied to structure design and implementation of sustainable and generalizable interventions.

Randomised controlled trial of the efficacy of a blue-enriched light intervention to improve alertness and performance in night shift workers.

OBJECTIVES: Night workers often experience high levels of sleepiness due to misalignment of the sleep-wake cycle from the circadian pacemaker, in addition to acute and chronic sleep loss. Exposure to light, in particular short wavelength light, can improve alertness and neurobehavioural performance. This randomised controlled trial examined the efficacy of blue-enriched polychromatic light to improve alertness and neurobehavioural performance in night workers. DESIGN: Participants were 71 night shift workers (42 males; 32.8±10.5 years) who worked at least 6 hours between 22:00 and 08:00 hours. Sleep-wake logs and wrist actigraphy were collected for 1-3 weeks, followed by 48-hour urine collection to measure the circadian 6-sulphatoxymelatonin (aMT6s) rhythm. On the night following at least two consecutive night shifts, workers attended a simulated night shift in the laboratory which included subjective and objective assessments of sleepiness and performance. Workers were randomly assigned for exposure to one of two treatment conditions from 23:00 hours to 07:00 hours: blue-enriched white light (17 000 K, 89 lux; n=36) or standard white light (4000 K, 84 lux; n=35). RESULTS: Subjective and objective sleepiness increased during the night shift in both light conditions (p<0.05, ηp2=0.06-0.31), but no significant effects of light condition were observed. The 17 000 K light, however, did improve subjective sleepiness relative to the 4000 K condition when light exposure coincided with the time of the aMT6s peak (p<0.05, d=0.41-0.60). CONCLUSION: This study suggests that, while blue-enriched light has potential to improve subjective sleepiness in night shift workers, further research is needed in the selection of light properties to maximise the benefits. TRIAL REGISTRATION NUMBER: The Australian New Zealand Clinical Trials Registry ACTRN12610000097044 (https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=320845&isReview=true).

THE SYNERGY TO ENABLE GLYCEMIC CONTROL FOLLOWING EMERGENCY DEPARTMENT DISCHARGE PROGRAM FOR ADULTS WITH TYPE 2 DIABETES: STEP-DIABETES.

OBJECTIVE: To evaluate a diabetes (DM) care delivery model among hyperglycemic adults with type 2 DM being discharged from the emergency department (ED) to home. The primary hypothesis was that a focused education and medication management intervention would lead to a greater short-term improvement in glycemic control compared to controls. METHODS: A 4-week, randomized controlled trial provided antihyperglycemic medications management using an evidence-based algorithm plus survival skills diabetes self-management education (DSME) for ED patients with blood glucose (BG) levels ≥200 mg/dL. The intervention was delivered by endocrinologist-supervised certified diabetes educators. Controls received usual ED care. RESULTS: Among 101 participants (96% Black, 54% female, 62.3% Medicaid and/or Medicare insurance), 77% completed the week 4 visit. Glycated hemoglobin A1C (A1C) went from 11.8 ± 2.4 to 10.5 ± 1.9% (P<.001) and 11.5 ± 2.0 to 11.1 ± 2.1% in the intervention and control groups, respectively (P = .012). At 4 weeks, the difference in A1C reduction between groups was 0.9% (P = .01). Mean BG decreased for both groups (P<.001), with a higher percentage of intervention patients (65%) reaching a BG <180 mg/dL compared to 29% of controls (P = .002). Hypoglycemia rates did not differ by group, and no severe hypoglycemia was reported. Medication adherence (Modified Morisky Score(©)) improved from low to medium (P<.001) among intervention patients and did not improve among controls. CONCLUSIONS: This study provides evidence that a focused diabetes care delivery intervention can be initiated in the ED among adults with type 2 diabetes and hyperglycemia and safely and effectively completed in the ambulatory setting. Improvement in short-term glycemic outcomes and medication adherence were observed.

Best Practices for Interdisciplinary Care Management by Hospital Glycemic Teams: Results of a Society of Hospital Medicine Survey Among 19 U.S. Hospitals.

Objective. The Society for Hospital Medicine (SHM) conducted a survey of U.S. hospital systems to determine how nonphysician providers (NPPs) are utilized in interdisciplinary glucose management teams. Methods. An online survey grouped 50 questions into broad categories related to team functions. Queries addressed strategies that had proven successful, as well as challenges encountered. Fifty surveys were electronically distributed with an invitation to respond. A subset of seven respondents identified as having active glycemic committees that met at least every other month also participated in an in-depth telephone interview conducted by an SHM Glycemic Advisory Panel physician and NPP to obtain further details. The survey and interviews were conducted from May to July 2012. Results. Nineteen hospital/hospital system teams completed the survey (38% response rate). Most of the teams (52%) had existed for 1-5 years and served 90-100% of noncritical care, medical critical care, and surgical units. All of the glycemic control teams were supported by the use of protocols for insulin infusion, basal-bolus subcutaneous insulin orders, and hypoglycemia management. However, > 20% did not have protocols for discontinuation of oral hypoglycemic agents on admission or for transition from intravenous to subcutaneous insulin infusion. About 30% lacked protocols assessing A1C during the admission or providing guidance for insulin pump management. One-third reported that glycemic triggers led to preauthorized consultation or assumption of care for hyperglycemia. Institutional knowledge assessment programs were common for nurses (85%); intermediate for pharmacists, nutritionists, residents, and students (40-45%); and uncommon for fellows (25%) and attending physicians (20%). Many institutions were not monitoring appropriate use of insulin, oral agents, or insulin protocol utilization. Although the majority of teams had a process in place for post-discharge referrals and specific written instructions were provided, only one-fourth were supported with written protocols to standardize medication, education, equipment, and follow-up instructions. Conclusion. Inpatient glycemic control teams with NPPs often function in environments without a full set of measurement, education, standardization, transition, and order tools. Executive hospital leaders, community partners, and the glycemic control teams themselves need to address these deficiencies to optimize team effectiveness.

Pilot feasibility and efficacy of a strategy to sustain A1C improvement among diverse adults with type 2 diabetes completing a diabetes care management program.

INTRODUCTION: Evidence-based strategies are needed to sustain improvements in outcomes following diabetes care management (DCM) programs. We examined the impact of Boot Camp-Plus (BC-Plus), an innovative sustaining strategy, on A1C among adults with type 2 diabetes completing a 3-month Diabetes Boot Camp (DBC). This health system sponsored program consisted of diabetes self-management education and support, medical nutrition therapy and antihyperglycemic medications management. RESEARCH DESIGN AND METHODS: From March 2019 to July 2021, adult DBC completers with Medicare or a health system Medicaid or employee commercial plan were enrolled in BC-Plus for 9 months. DBC completers not meeting insurance eligibility or who declined to participate in BC-Plus acted as controls. During the first 3 months, BC-Plus participants received ongoing daily remote blood glucose (BG) monitoring; and during all 9 months, they received monthly check-in calls with BG review by a medical assistant who addressed needs for supplies/drugs, whether participants were checking BGs, and self-care encouragement. Escalation to a nurse practitioner occurred if the monthly BG trend was >200 mg/dL and/or several BG <80 mg/dL and/or new A1C >9.0% were identified. A1C was followed for an additional 9 months post-BC-Plus. A longitudinal mixed effects analysis was used to assess change in A1C from month 0 to month 21 of follow-up between BC-Plus participants versus controls. RESULTS: A total of 838 DCM completers were identified, among whom 281 joined the BC-Plus intervention and 557 acted as controls. Mean age was 55.9 years; 58.2% were women; 66.2% were black; and 30.6% insured by Medicare. BC-Plus participants experienced significantly lower A1C compared with controls and remained below 8.0% to month 18. CONCLUSIONS: Among completers of a 3-month DCM program, a low intensity 9-month sustaining strategy maintained A1C under 8.0% (HEDIS (Healthcare Effectiveness Data and Information Set) threshold for diabetes control) compared with controls for 15 months after completion of the initial DCM intervention.

Circadian adaptation to night shift work is associated with higher REM sleep duration.

OBJECTIVE: To investigate the influence of the degree of circadian adaptation to night work on sleep architecture following night shift. METHODS: Thirty four night workers (11 females; 33.8 ± 10.1years) completed a simulated night shift following 2-7 typical night shifts. Participants completed a laboratory-based simulated night shift (21:00-07:00 hours), followed by a recovery sleep opportunity (∼09:00-17:00 hours), recorded using polysomnography. Urinary 6-sulphatoxymelatonin (aMT6s) rhythm acrophase was used as a marker of circadian phase. Sleep duration and architecture were compared between individuals with aMT6s acrophase before (unadapted group, n = 22) or after (partially adapted group, n = 12) bedtime. RESULTS: Bedtime occurred on average 2.16 hours before aMT6s acrophase in the partially adapted group and 3.91 hours after acrophase in the unadapted group. The partially adapted group had more sleep during the week before the simulated night than the unadapted group (6.47 ± 1.02 vs. 5.26 ± 1.48 hours, p = .02). After the simulated night shift, both groups had similar total sleep time (partially adapted: 6.68 ± 0.80 hours, unadapted: 6.63 ± 0.88 hours, p > .05). The partially adapted group had longer total rapid eye movement sleep duration than the unadapted group (106.79 ± 32.05 minutes vs. 77.90 ± 28.86 minutes, p = .01). After 5-hours, rapid eye movement sleep accumulation was higher in the partially adapted compared to the unadapted group (p = .02). Sleep latency and other stages were not affected by circadian adaptation. DISCUSSION: Partial circadian adaptation to night shift was associated with longer rapid eye movement sleep duration during daytime sleep, highlighting the influence of entrainment between the sleep-wake cycle and the circadian pacemaker in night workers. The findings have important implications for sleep and subsequent alertness associated with shift work.