Background: The geriatric syndrome of frailty is one of the greatest challenges facing the U.S. aging population. Frailty in older adults is associated with higher adverse outcomes, such as mortality and hospitalization. Identifying precise early indicators of pre-frailty and measures of specific frailty components are of key importance to enable targeted interventions and remediation. We hypothesize that sensor-derived parameters, measured by a pendant accelerometer device in the home setting, are sensitive to identifying pre-frailty. Methods: Using the Fried frailty phenotype criteria, 153 community-dwelling, ambulatory older adults were classified as pre-frail (51%), frail (22%), or non-frail (27%). A pendant sensor was used to monitor the at home physical activity, using a chest acceleration over 48 h. An algorithm was developed to quantify physical activity pattern (PAP), physical activity behavior (PAB), and sleep quality parameters. Statistically significant parameters were selected to discriminate the pre-frail from frail and non-frail adults. Results: The stepping parameters, walking parameters, PAB parameters (sedentary and moderate-to-vigorous activity), and the combined parameters reached and area under the curve of 0.87, 0.85, 0.85, and 0.88, respectively, for identifying pre-frail adults. No sleep parameters discriminated the pre-frail from the rest of the adults. Conclusions: This study demonstrates that a pendant sensor can identify pre-frailty via daily home monitoring. These findings may open new opportunities in order to remotely measure and track frailty via telehealth technologies.

Physical frailty together with cognitive impairment (Cog), known as cognitive frailty, is emerging as a strong and independent predictor of cognitive decline over time. We examined whether remote physical activity (PA) monitoring could be used to identify those with cognitive frailty. A validated algorithm was used to quantify PA behaviors, PA patterns, and nocturnal sleep using accelerometer data collected by a chest-worn sensor for 48-h. Participants (N = 163, 75 ± 10 years, 79% female) were classified into four groups based on presence or absence of physical frailty and Cog: PR-Cog-, PR+Cog-, PR-Cog+, and PR+Cog+. Presence of physical frailty (PR-) was defined as underperformance in any of the five frailty phenotype criteria based on Fried criteria. Presence of Cog (Cog-) was defined as a Mini-Mental State Examination (MMSE) score of less than 27. A decision tree classifier was used to identify the PR-Cog- individuals. In a univariate model, sleep (time-in-bed, total sleep time, percentage of sleeping on prone, supine, or sides), PA behavior (sedentary and light activities), and PA pattern (percentage of walk and step counts) were significant metrics for identifying PR-Cog- (p < 0.050). The decision tree classifier reached an area under the curve of 0.75 to identify PR-Cog-. Results support remote patient monitoring using wearables to determine cognitive frailty.

Objectives We examined the role of discharge instructions in postoperative recovery for patients undergoing colorectal surgery and report themes related to patient perceptions of discharge instructions and postdischarge experience. Design Semistructured interviews were conducted as part of a formative evaluation of a Project Re-Engineered Discharge intervention adapted for surgical patients. Setting Michael E. DeBakey VA Medical Center, a tertiary referral centre in Houston, Texas. Participants Twelve patients undergoing elective colorectal surgery. Interviews were conducted at the two-week postoperative appointment. Results Participants demonstrated understanding of the content in the discharge instructions. During the interviews, participants reported several positive roles for discharge instructions in their postdischarge care: a sense of security, a reminder of inhospital education, a living document and a source of empowerment. Despite these positive associations, participants reported that the instructions provided insufficient information to promote access to care that effectively addressed acute issues following discharge. Participants noted difficulty reaching providers after discharge, which resulted in the adoption of workarounds to overcome system barriers. Conclusions Despite concerted efforts to provide patient-centred instructions, the discharge instructions did not provide enough context to effectively guide postdischarge interactions with the healthcare system. Insufficient information on how to access and communicate with the most appropriate personnel in the healthcare system is an important barrier to patients receiving high-quality postdischarge care. Tools and strategies from team training programmes, such as team strategies and tools to enhance performance and patient safety, could be adapted to include patients and provide them with structured methods for communicating with healthcare providers post discharge.

Background: To evaluate the effect of E-consults on wait times and resource utilization for positive antinuclear antibody (ANA) referrals in outpatient rheumatology. Methods: We conducted a pre-post study of E-consult implementation for positive ANA referrals. We retrospectively reviewed “positive ANA” referrals from 1/2015–3/2017. A statistical process control chart was created to display monthly average wait times for in-person clinic visits and to identify special cause variation. Final diagnoses, wait times and resource utilization were recorded and compared between E-consults and in-person referrals. Results: There were 139 referrals for positive ANA with 126 occurring after E-consult implementation in August 2015. Forty-four percent (55/126) of referrals were E-consults; 76% did not have an in-person visit after initial electronic rheumatology recommendation. A control chart demonstrated special cause variation in the form of a shift from June 2016 – January 2017, suggesting a temporal association between decreased wait times and the implementation of E-consults. Eleven patients were diagnosed with ANA-associated rheumatic disease; the majority of patients (73%, 86/139) did not have a rheumatologic diagnosis. Overall E-consults utilized more labs than in-person visits, but this was not statistically significant. In-person visits utilized more imaging studies, which was statistically significant. Conclusion: E-consults are an effective way to address positive ANA consults without significant increase in resource utilization and were temporally associated with decreased wait times for in-person visits.

Overuse of urine testing is a driver of inappropriate antimicrobial use. Limiting wasteful testing is important for patient safety. We examined the national prevalence and patterns of urine testing during adult inpatient admission in the United States. We performed a retrospective cohort study using a national dataset of inpatient admissions from 263 hospitals in the United States from 2009 to 2014. We included all adult inpatient admissions, excluding those related to pregnancy, urology procedures, and with lengths of stay >30 days. A facility-level fixed-effects quasi-Poisson regression model was used to examine the incidence of urinalysis and urine culture testing for select diagnoses and patient factors. The cohort included 4473655 admissions. Charges for urinalysis were present for 2086697 (47%) admissions, with 584438 (13%) including >1 urinalysis. Charges for urine culture were present for 1197242 (27%) admissions, with 246211 (6%) having >1 culture. Urine culture testing varied by principal diagnosis. Heart failure and acute myocardial infarction had 29% and 35% fewer cultures sent on the first day of admission compared to all other admissions (P < .001). Female sex and receipt of antibiotics during the hospital admission consistently predicted increased culture testing, regardless of principal diagnosis or age. Urine testing was common and frequently repeated during inpatient admission, suggesting large-scale overuse. The variation in testing by diagnosis suggests that clinical presentation modifies test use. The sex bias in urine testing is not clinically supported and must be addressed in interventions aimed at reducing excess urine testing.