To identify phenotypes of type 1 diabetes based on glucose curves from continuous glucose-monitoring (CGM) using functional data (FD) analysis to account for longitudinal glucose patterns. We present a reliable prediction model that can accurately predict glycemic levels based on past data collected from the CGM sensor and real-time risk of hypo-/hyperglycemic for individuals with type 1 diabetes.

A longitudinal cohort study of 443 type 1 diabetes patients with CGM data from a completed trial. The FD analysis approach, sparse functional principal components (FPCs) analysis was used to identify phenotypes of type 1 diabetes glycemic variation. We employed a nonstationary stochastic linear mixed-effects model (LME) that accommodates between-patient and within-patient heterogeneity to predict glycemic levels and real-time risk of hypo-/hyperglycemic by creating specific target functions for these excursions.

The majority of the variation (73%) in glucose trajectories was explained by the first two FPCs. Higher order variation in the CGM profiles occurred during weeknights, although variation was higher on weekends. The model has low prediction errors and yields accurate predictions for both glucose levels and real-time risk of glycemic excursions.

By identifying these distinct longitudinal patterns as phenotypes, interventions can be targeted to optimize type 1 diabetes management for subgroups at the highest risk for compromised long-term outcomes such as cardiac disease or stroke. Further, the estimated change/variability in an individual’s glucose trajectory can be used to establish clinically meaningful and patient-specific thresholds that, when coupled with probabilistic predictive inference, provide a useful medical-monitoring tool.

The impact of healthcare system integration on infection prevention programs is unknown. Using catheter-associated urinary tract infection (CAUTI) prevention as an example, we hypothesize that US Department of Veterans Affairs (VA) nursing homes have a more robust infection prevention infrastructure due to integration and centralization compared with non–VA nursing homes.

VA and non-VA nursing homes participating in the AHRQ Safety Program for Long-Term Care collaborative.

Nursing homes provided baseline information about their infection prevention programs to assess strengths and gaps related to CAUTI prevention via a needs assessment questionnaire.

A total of 353 of 494 nursing homes from 41 states (71%; 47 VA and 306 non-VA facilities) responded. VA nursing homes reported more hours per week devoted to infection prevention-related activities (31 vs 12 hours; P<.001) and were more likely to have committees that reviewed healthcare-associated infections. Compared with non-VA facilities, a higher percentage of VA nursing homes reported tracking CAUTI rates (94% vs 66%; P<.001), sharing CAUTI data with leadership (94% vs 70%; P=.014) and with nursing personnel (85% vs 56%, P=.003). However, fewer VA nursing homes reported having policies for appropriate catheter use (64% vs 81%; P=.004) and catheter insertion (83% vs 94%; P=.004).

Among nursing homes participating in an AHRQ-funded collaborative, VA and non-VA nursing homes differed in their approach to CAUTI prevention. Best practices from both settings should be applied universally to create an optimal infection prevention program within emerging integrated healthcare systems.

Infect Control Hosp Epidemiol 2017;38:287–293

To examine patterns and predictors of primary mental health care service use following 2 major Australian natural disaster events.

Utilizing data from a national minimum dataset, descriptive and regression analyses were conducted to identify levels and predictors of the use of the Access to Allied Psychological Services (ATAPS) program over a 2-year period following 2 major Australian bushfire and flood/cyclone disasters.

The bushfire disaster resulted in significantly greater and more enduring ATAPS service volume, while service delivery for both disasters peaked in the third quarter. Consumers affected by bushfires (IRR 1.51, 95% CI 1.20–1.89), diagnosed with depression (IRR 2.57, 95% CI 1.60-4.14), anxiety (IRR 2.06, 95% CI 1.21-3.49), or both disorders (IRR 2.15, 95% CI 1.35-3.42) utilized treatment at higher rates.

The substantial demand for primary mental health care services following major natural disasters can vary in magnitude and trajectory with disaster type. Disaster-specific ATAPS services provide a promising model to cater for this demand in primary care settings. Disaster type and need-based variables as drivers of ATAPS use intensity indicate an equitable level of service use in line with the program intention. Established service usage patterns can assist with estimating capacity requirements in similar disaster circumstances. (Disaster Med Public Health Preparedness. 2015;9:275-282)

There is good evidence of the positive effects of person-centered care (PCC) on agitation in dementia. We hypothesized that a person-centered environment (PCE) would achieve similar outcomes by focusing on positive environmental stimuli, and that there would be enhanced outcomes by combining PCC and PCE.

38 Australian residential aged care homes with scope for improvement in both PCC and PCE were stratified, then randomized to one of four intervention groups: (1) PCC; (2) PCE; (3) PCC +PCE; (4) no intervention. People with dementia, over 60 years of age and consented were eligible. Co-outcomes assessed pre and four months post-intervention and at 8 months follow-up were resident agitation, emotional responses in care, quality of life and depression, and care interaction quality.

From 38 homes randomized, 601 people with dementia were recruited. At follow-up the mean change for quality of life and agitation was significantly different for PCE (p = 0.02, p = 0.05, respectively) and PCC (p = 0.0003, p = 0.002 respectively), compared with the non-intervention group (p = 0.48, p = 0.93 respectively). Quality of life improved non-significantly for PCC+PCE (p = 0.08), but not for agitation (p = 0.37). Improvements in care interaction quality (p = 0.006) and in emotional responses to care (p = 0.01) in PCC+PCE were not observed in the other groups. Depression scores did not change in any of the groups. Intervention compliance for PCC was 59%, for PCE 54% and for PCC+PCE 66%.

The hypothesis that PCC+PCE would improve quality of life and agitation even further was not supported, even though there were improvements in the quality of care interactions and resident emotional responses to care for some of this group. The Australian New Zealand Clinical Trials Registry Number is ACTRN 12608000095369.

Little is known about the effectiveness of advance care planning in the United Kingdom, although policy documents recommend that it should be available to all those with life-limiting illness.

An exploratory patient preference randomized controlled trial of advance care planning discussions with an independent mediator (maximum three sessions) was conducted in London outpatient oncology clinics and a nearby hospice. Seventy-seven patients (mean age 62 years, 39 male) with various forms of recurrent progressive cancer participated, and 68 (88%) completed follow-up at 8 weeks. Patients completed visual analogue scales assessing perceived ability to discuss end-of-life planning with healthcare professionals or family and friends (primary outcome), happiness with the level of communication, and satisfaction with care, as well as a standardized measure of anxiety and depression.

Thirty-eight patients (51%) showed preference for the intervention. Discussions with professionals or family and friends about the future increased in the intervention arms, whether randomized or preference, but happiness with communication was unchanged or worse, and satisfaction with services decreased. Trial participation did not cause significant anxiety or depression and attrition was low.

A randomized trial of advance care planning is possible. This study provides new evidence on its acceptability and effectiveness for patients with advanced cancer.

Advance care planning (ACP) provides patients with an opportunity to consider, discuss, and plan their future care with health professionals. Numerous policy documents recommend that ACP should be available to all with life-limiting illness.

Forty patients with recurrent progressive cancer completed one or more ACP discussions with a trained planning mediator using a standardized topic guide. Fifty-two interviews were transcribed verbatim and analyzed for qualitative thematic content.

Most patients had not spoken extensively to health professionals or close persons about the future. Their concerns related to experiencing distressing symptoms or worrying how family members would cope. Some patients wished for more accurate information and were unaware of their options for care. Many felt it was doctors' responsibility to initiate such discussions, but perceived that their doctors were reluctant to do so. However, some patients felt that the time was not yet right for these conversations.

This article reports on the recorded content of ACP discussions. The extent to which patients want to engage in ACP is variable, and support and training are needed for health professionals to initiate such discussions. Our findings do not fully support the current United Kingdom policy of introducing ACP early in life-threatening disease.

Mental illness is common among prisoners, but little evidence exists regarding changes in symptoms in custody over time.

To investigate the prevalence and predictors of psychiatric symptoms among prisoners during early custody.

In a prospective cohort study, 3079 prisoners were screened for mental illness within 3 days of reception. To establish baseline diagnoses and symptoms, 980 prisoners were interviewed; all remaining in custody were followed up 1 month and 2 months later.

Symptom prevalence was highest during the first week of custody. Prevalence showed a linear decline among men and convicted prisoners, but not women or remand prisoners. It decreased among prisoners with depression, but not among prisoners with other mental illnesses.

Overall, imprisonment did not exacerbate psychiatric symptoms, although differences in group responses were observed. Continued discussion regarding non-custodial alternatives for vulnerable groups and increased support for all during early custody are recommended.

Multidisciplinary antimicrobial utilization teams (AUTs) have been proposed as a mechanism for improving antimicrobial use, but data on their efficacy remain limited.

To determine the impact of an AUT on antimicrobial use at a teaching hospital.

Randomized controlled intervention trial.

A 953-bed, public, university-affiliated, urban teaching hospital.

Patients who were given selected antimicrobial agents (piperacillin-tazobactam, levofloxacin, or vancomycin) by internal medicine ward teams.

Twelve internal medicine teams were randomly assigned monthly: 6 teams to an intervention group (academic detailing by the AUT) and 6 teams to a control group that was given indication-based guidelines for prescription of broad-spectrum antimicrobials (standard of care), during a 10-month study period.

Proportion of appropriate empirical, definitive (therapeutic), and end (overall) antimicrobial usage.

A total of 784 new prescriptions of piperacillin-tazobactam, levofloxacin, and vancomycin were reviewed. The proportion of antimicrobial prescriptions written by the intervention teams that was considered to be appropriate was significantly higher than the proportion of antimicrobial prescriptions written by the control teams that was considered to be appropriate: 82% versus 73% for empirical (risk ratio [RR], 1.14; 95% confidence interval [CI], 1.04-1.24), 82% versus 43% for definitive (RR, 1.89; 95% CI, 1.53-2.33), and 94% versus 70% for end antimicrobial usage (RR, 1.34; 95% CI, 1.25-1.43). In multivariate analysis, teams that received feedback from the AUT alone (adjusted RR, 1.37; 95% CI, 1.27-1.48) or from both the AUT and the infectious diseases consultation service (adjusted RR, 2.28; 95% CI, 1.64-3.19) were significantiy more likely to prescribe end antimicrobial usage appropriately, compared with control teams.

A multidisciplinary AUT that provides feedback to prescribing physicians was an effective method in improving antimicrobial use.

ClinicalTrials.gov identifier: NCT00552838.