Association of rurality and identifying as black with receipt of specialty care among patients hospitalized with a diabetic foot ulcer: a Medicare cohort study.

INTRODUCTION: Rural patients with diabetic foot ulcers, especially those identifying as black, face increased risk of major amputation. Specialty care can reduce this risk. However, care disparities might beget outcome disparities. We aimed to determine whether a smaller proportion of rural patients, particularly those identifying as black, receive specialty care compared with the national proportion. RESEARCH DESIGN AND METHODS: This 100% national retrospective cohort examined Medicare beneficiaries hospitalized with diabetic foot ulcers (2013-2014). We report observed differences in specialty care, including: endocrinology, infectious disease, orthopedic surgery, plastic surgery, podiatry, or vascular surgery. We used logistic regression to examine possible intersectionality between rurality and race, controlling for sociodemographics, comorbidities, and ulcer severity and including an interaction term between rurality and identifying as black. RESULTS: Overall, 32.15% (n=124 487) of patients hospitalized with a diabetic foot ulcer received specialty care. Among rural patients (n=13 100), the proportion decreased to 29.57%. For patients identifying as black (n=21 649), the proportion was 33.08%. Among rural patients identifying as black (n=1239), 26.23% received specialty care. This was >5 absolute percentage points less than the overall cohort. The adjusted OR for receiving specialty care among rural versus urban patients identifying as black was 0.61 (95% CI 0.53 to 0.71), which was lower than that for rural versus urban patients identifying as white (aOR 0.85, 95% CI 0.80 to 0.89). This metric supported a role for intersectionality between rurality and identifying as black. CONCLUSIONS: A smaller proportion of rural patients, particularly those identifying as black, received specialty care when hospitalized with a diabetic foot ulcer compared with the overall cohort. This might contribute to known disparities in major amputations. Future studies are needed to determine causality.

Machine learning-assisted screening for cognitive impairment in the emergency department.

BACKGROUND/OBJECTIVES: Despite a high prevalence and association with poor outcomes, screening to identify cognitive impairment (CI) in the emergency department (ED) is uncommon. Identification of high-risk subsets of older adults is a critical challenge to expanding screening programs. We developed and evaluated an automated screening tool to identify a subset of patients at high risk for CI. METHODS: In this secondary analysis of existing data collected for a randomized control trial, we developed machine-learning models to identify patients at higher risk of CI using only variables available in electronic health record (EHR). We used records from 1736 community-dwelling adults age > 59 being discharged from three EDs. Potential CI was determined based on the Blessed Orientation Memory Concentration (BOMC) test, administered in the ED. A nested cross-validation framework was used to evaluate machine-learning algorithms, comparing area under the receiver-operator curve (AUC) as the primary metric of performance. RESULTS: Based on BOMC scores, 121 of 1736 (7%) participants screened positive for potential CI at the time of their ED visit. The best performing algorithm, an XGBoost model, predicted BOMC positivity with an AUC of 0.72. With a classification threshold of 0.4, this model had a sensitivity of 0.73, a specificity of 0.64, a negative predictive value of 0.97, and a positive predictive value of 0.13. In a hypothetical ED with 200 older adult visits per week, the use of this model would lead to a decrease in the in-person screening burden from 200 to 77 individuals in order to detect 10 of 14 patients who would fail a BOMC. CONCLUSION: This study demonstrates that an algorithm based on EHR data can define a subset of patients at higher risk for CI. Incorporating such an algorithm into a screening workflow could allow screening efforts and resources to be focused where they have the most impact.

Neighborhood-Level Social Disadvantage and Risk of Delirium Following Major Surgery.

BACKGROUND/OBJECTIVES: Delirium is a common postoperative complication associated with prolonged length of stay, hospital readmission, and premature mortality. We explored the association between neighborhood-level characteristics and delirium incidence and severity, and compared neighborhood- with individual-level indicators of socioeconomic status in predicting delirium incidence. DESIGN: A prospective observational cohort of patients enrolled between June 18, 2010, and August 8, 2013. Baseline interviews were conducted before surgery, and delirium/delirium severity was evaluated daily during hospitalization. Research staff evaluating delirium were blinded to baseline cognitive status. SETTING: Two academic medical centers in Boston, MA. PARTICIPANTS: A total of 560 older adults, aged 70 years or older, undergoing major noncardiac surgery. INTERVENTION: The Area Deprivation Index (ADI) was used to characterize each neighborhood's socioeconomic disadvantage. MEASUREMENTS: Delirium was assessed using the Confusion Assessment Method (CAM) long form. Delirium severity was calculated using the highest value of CAM Severity score (CAM-S) occurring during daily hospital assessments (CAM-S Peak). RESULTS: Residing in the most disadvantaged neighborhoods (ADI > 44) was associated with a higher risk of incident delirium (12/26; 46%), compared with the least disadvantaged neighborhoods (122/534; 23%) (risk ratio (RR) (95% confidence interval (CI)) = 2.0 (1.3-3.1). The CAM-S Peak score was significantly associated with ADI (Spearman rank correlation, ρ = 0.11; P = .009). Mean CAM-S Peak scores generally rose from 3.7 to 5.3 across levels of increasing neighborhood disadvantage. The RR (95% CI) values associated with individual-level markers of socioeconomic status and cultural background were: 1.2 (0.9-1.7) for education of 12 years or less; 1.3 (0.8-2.1) for non-White race; and 1.7 (1.1-2.6) for annual household income of less than $20,000. None of these individual-level markers exceeded the ADI in terms of effect size or significance for prediction of delirium risk. CONCLUSIONS: Neighborhood-level makers of social disadvantage are associated with delirium incidence and severity, and demonstrated an exposure-response relationship. Future studies should consider contextual-level metrics, such as the ADI, as risk markers of social disadvantage that can help to guide delirium treatment and prevention.

What Is an Observation Stay? Evaluating the Use of Hospital Observation Stays in Medicare.

BACKGROUND/OBJECTIVES: Observation stays are increasingly common for older adults, yet little is known about the extent to which they are being used as the Centers for Medicare and Medicaid Services (CMS) originally intended for unscheduled or acute problems and whether different types of services are reflected in current billing practices. DESIGN: Observational cohort study. SETTING/PARTICIPANTS: A total of 867,165 qualifying observation stays identified from 451,408 patients using Medicare fee-for-service claims data from a nationally representative 20% beneficiary sample between January 1, 2014, and November 30, 2014. MEASUREMENTS: Using descriptive and multivariable logistic model analytic approaches, we evaluated the patient, stay, and hospital characteristics associated with the most common billing practice for observation stays (charge revenue center 0761 exclusively) vs all other practices. RESULTS: Sixty-three percent of observation stays were billed exclusively under the 0761 revenue center and were more likely to be for preplanned chronic conditions consisting of short-term treatments (eg, chemotherapy, radiation therapy, wound care, paracentesis, epidural spinal injection). These stays appeared to be used for recurrent single-day visits, given their strong association with prior visits and a high rate of reobservation (41.4%), with frequent return stays appearing in a 7-day pattern. CONCLUSION: Nearly two-thirds of observation stays are billed using only the 0761 revenue code and appear to be for prescheduled, repeated treatments-differing substantially from CMS' explicitly stated purpose as a form of care used while a healthcare provider determines whether a patient presenting for unscheduled or acute conditions requires inpatient hospital admission or can be safely discharged. Guidance is needed from CMS to clarify the appropriate role of observation stays, with discussion as to whether episodic single-day, planned treatment for chronic conditions not originating in the emergency department should be billed as observation stays or placed under another mechanism. Subsequent research is needed to understand how the current use of observation stays impact patient out-of-pocket costs. J Am Geriatr Soc 68:1568-1572, 2020.

Adaptation and Implementation of a Transitional Care Protocol for Patients Undergoing Complex Abdominal Surgery.

BACKGROUND: Transitional care protocols are effective at reducing readmission for medical patients, yet no evidence-based protocols exist for surgical patients. A transitional care protocol was adapted to meet the needs of patients discharged to home after major abdominal surgery. APPROACH: The Coordinated-Transitional Care (C-TraC) protocol, initially designed for medical patients, was used as the initial framework for the development of a surgery-specific protocol (sC-TraC). Adaptation was accomplished using a modification of the Replicating Effective Programs (REP) model, which has four phases: (1) preconditions, (2) preimplementation, (3) implementation, and (4) maintenance and evolution. A random sample of five patients each month was selected to complete a phone survey regarding patient satisfaction. Preimplementation planning allowed for integration with current systems, avoided duplication of processes, and defined goals for the protocol. The adapted protocol specifically addressed surgical issues such as nutrition, fever, ostomy output, dehydration, drain character/output, and wound appearance. After protocol launch, the rapid iterative adaptation process led to changes in phone call timing, inclusion and exclusion criteria, and discharge instructions. OUTCOMES: Survey responders reported 100% overall satisfaction with the transitional care program. KEY INSIGHTS: The adaptable nature of sC-TraC may allow for low-resource hospitals, such as rural or inner-city medical centers, to use the methodology provided in this study for implementation of local phone-based transitional care protocols. In addition, as the C-TraC program has begun to disseminate nationally across US Department of Veterans Affairs (VA) hospitals and rural health settings, sC-TraC may be implemented using the existing transitional care infrastructure in place at these hospitals.

Treatment decision making involving patients with dementia in acute care: A scoping review.

OBJECTIVE: To summarize the evidence regarding the factors and processes of treatment decision making involving a person with dementia (PWD) in the acute care setting. METHODS: We conducted a scoping review, searching 4 databases (PubMed, CINAHL, Web of Science, & PsychINfo) for articles that contained primary data from a quantitative or qualitative study involving treatment decision making in the acute care setting for PWD and were published in English. We categorized the factors and processes of decision making identified in each article using inductive content analysis. We also consulted with healthcare practitioners to receive stakeholder input on our findings. RESULTS: Our search initially revealed 12,478 articles, of which 28 were included in the review. We identified 5 categories of factors that influence the decision-making process: knowing the patient, culture and systems, role clarity, appropriateness of palliative care in dementia, and caregiver need for support. CONCLUSION: Our findings highlight the complexities of the decision-making process and the importance of attending to the needs of the caregiver, healthcare practitioners, and the patient. PRACTICE IMPLICATIONS: It is important to address beliefs of involving palliative care for a PWD and the role of each healthcare discipline.

Documented lifestyle education among young adults with incident hypertension.

BACKGROUND: Only 38% of young adults with hypertension have controlled blood pressure. Lifestyle education is a critical initial step for hypertension control. Previous studies have not assessed the type and frequency of lifestyle education in young adults with incident hypertension. OBJECTIVE: The purpose of this study was to determine patient, provider, and visit predictors of documented lifestyle education among young adults with incident hypertension. DESIGN: We conducted a retrospective analysis of manually abstracted electronic health record data. PARTICIPANTS: A random selection of adults 18-39 years old (n = 500), managed by a large academic practice from 2008 to 2011 and who met JNC 7 clinical criteria for incident hypertension, participated in the study. MAIN MEASURES: The primary outcome was the presence of any documented lifestyle education during one year after meeting criteria for incident hypertension. Abstracted topics included documented patient education for exercise, tobacco cessation, alcohol use, stress management/stress reduction, Dietary Approaches to Stop Hypertension (DASH) diet, and weight loss. Clinic visits were categorized based upon a modified established taxonomy to characterize patients' patterns of outpatient service. We excluded patients with previous hypertension diagnoses, previous antihypertensive medications, or pregnancy. Logistic regression was used to identify predictors of documented education. KEY RESULTS: Overall, 55% (n = 275) of patients had documented lifestyle education within one year of incident hypertension. Exercise was the most frequent topic (64%). Young adult males had significantly decreased odds of receiving documented education. Patients with a previous diagnosis of hyperlipidemia or a family history of hypertension or coronary artery disease had increased odds of documented education. Among visit types, chronic disease visits predicted documented lifestyle education, but not acute or other/preventive visits. CONCLUSIONS: Among young adults with incident hypertension, only 55% had documented lifestyle education within one year. Knowledge of patient, provider, and visit predictors of education can help better target the development of interventions to improve young adult health education and hypertension control.

Rehospitalization to primary versus different facilities following abdominal aortic aneurysm repair.

OBJECTIVE: Reducing readmissions represents a unique opportunity to improve care and reduce health care costs and is the focus of major payers. A large number of surgical patients are readmitted to hospitals other than where the primary surgery was performed, resulting in clinical decisions that do not incorporate the primary surgeon and potentially alter outcomes. This study characterizes readmission to primary vs different hospitals after abdominal aortic aneurysm (AAA) repair and examines the implications with regard to mortality and cost. METHODS: Patients who underwent open or endovascular aneurysm repair for AAA were identified from the Centers for Medicare and Medicaid Services Chronic Conditions Warehouse, a random 5% national sample of Medicare beneficiaries from 2005 to 2009. Outcomes for patients who underwent AAA repair and were readmitted within 30 days of initial discharge were compared based on readmission location (primary vs different hospital). RESULTS: A total of 885 patients underwent AAA repair and were readmitted within 30 days. Of these, 626 (70.7%) returned to the primary facility, and 259 (29.3%) returned to a different facility. Greater distance from patient residence to the primary hospital was the strongest predictor of readmission to a different facility. Patients living 50 to 100 miles from the primary hospital were more likely to be readmitted to a different hospital compared with patients living <10 miles away (odds ratio, 8.50; P < .001). Patients with diagnoses directly related to the surgery (eg, wound infection) were more likely to be readmitted to the primary hospital, whereas medical diagnoses (eg, pneumonia and congestive heart failure) were more likely to be treated at a different hospital. There was no statistically significant difference in mortality between patients readmitted to a different or the primary hospital. Median total 30-day payments were significantly lower at different vs primary hospitals (primary, $11,978 vs different, $11,168; P = .04). CONCLUSIONS: Readmission to a different facility after AAA repair is common and occurs more frequently than for the overall Medicare population. Patients travelling a greater distance for AAA repair are more likely to return to different vs the primary hospital when further care is required. For AAA repair, quality healthcare may be achieved at marginally lower cost and with greater patient convenience for selected readmissions at hospitals other than where the initial procedure was performed.

Causes and implications of readmission after abdominal aortic aneurysm repair.

OBJECTIVE: To determine the frequency, causes, predictors, and consequences of 30-day readmission after abdominal aortic aneurysm (AAA) repair. BACKGROUND DATA: Centers for Medicare & Medicaid Services (CMS) will soon reduce total Medicare reimbursements for hospitals with higher-than-predicted 30-day readmission rates after vascular surgical procedures, including AAA repair. However, causes and factors leading to readmission in this population have never before been systematically analyzed. METHODS: We analyzed elective AAA repairs over a 2-year period from the CMS Chronic Conditions Warehouse, a 5% national sample of Medicare beneficiaries. RESULTS: A total of 2481 patients underwent AAA repair--1502 endovascular aneurysm repair (EVAR) and 979 open aneurysm repair. Thirty-day readmission rates were equivalent for EVAR (13.3%) and open repair (12.8%). Although wound complication was the most common reason for readmission after both procedures, the relative frequency of other causes differed-eg, bowel obstruction was common after open repair, and graft complication after EVAR. In multivariate analyses, preoperative comorbidities had a modest effect on readmission; however, postoperative factors, including serious complications leading to prolonged length of stay and discharge destination other than home, had a profound influence on the probability of readmission. The 1-year mortality in readmitted patients was 23.4% versus 4.5% in those not readmitted (P < 0.001). CONCLUSIONS: Early readmission is common after AAA repair. Adjusting for comorbidities, postoperative events predict readmission, suggesting that proactively preventing, detecting, and managing postoperative complications may provide an approach to decreasing readmissions, with the potential to reduce cost and possibly enhance long-term survival.

Lipid testing in patients with rheumatoid arthritis and key cardiovascular-related comorbidities: a medicare analysis.

OBJECTIVE: For patients with rheumatoid arthritis (RA) and comorbid cardiovascular disease (CVD), diabetes, or hyperlipidemia, annual lipid testing is recommended to reduce morbidity and mortality from comorbidities. Given trends encouraging complex patients to receive care in "medical homes," we examined associations between regularly seeing a primary care provider (PCP) and lipid testing in RA patients with cardiovascular-related comorbidities. METHODS: We performed a retrospective cohort study examining a 5% random USA Medicare sample (2004-06) of beneficiaries over 65 years old with RA and concomitant CVD, diabetes, or hyperlipidemia (n = 16,893). We examined the relationship between receiving lipid testing in 2006 and having at least 1 PCP visit per year in 2004, 2005, and 2006 using multivariate regression. RESULTS: Ninety percent of patients had prevalent CVD; 46% had diabetes, and 64% had hyperlipidemia. However, annual lipid testing was only performed in 63% of these RA patients. Thirty percent of patients saw a PCP less than once per year, despite frequent visits (mean >9) with other providers. Patients without at least 1 annual PCP visit were 16% less likely to have lipid testing. Increased age, complexity scores, hospitalization, and large town residence predicted decreased lipid testing. CONCLUSIONS: Despite comorbid CVD, diabetes, or hyperlipidemia, 30% of Medicare RA patients saw a PCP less than once per year, and 1 in 3 lacked annual lipid testing. Findings support advocating primary care visits at least once per year. Remaining gaps in lipid testing suggest the need for additional strategies to improve lipid testing in at-risk RA patients.

Low frequency of primary lipid screening among medicare patients with rheumatoid arthritis.

OBJECTIVE: Although studies have demonstrated suboptimal preventive care in RA patients, performance of primary lipid screening (i.e., testing before cardiovascular disease [CVD], CVD risk equivalents, or hyperlipidemia is evident) has not been systematically examined. The purpose of this study was to examine associations between primary lipid screening and visits to primary care providers (PCPs) and rheumatologists among a national sample of older RA patients. METHODS: This retrospective cohort study examined a 5% Medicare sample that included 3,298 RA patients without baseline CVD, diabetes mellitus, or hyperlipidemia, who were considered eligible for primary lipid screening during the years 2004-2006. The outcome was probability of lipid screening by the relative frequency of primary care and rheumatology visits, or seeing a PCP at least once each year. RESULTS: Primary lipid screening was performed in only 45% of RA patients. Overall, 65% of patients received both primary and rheumatology care, and 50% saw a rheumatologist as often as a PCP. Any primary care predicted more lipid screening than lone rheumatology care (26% [95% confidence interval (95% CI) 21-32]). As long as a PCP was involved, performance of lipid screening was similar regardless of the balance between primary and rheumatology visits (44-48% [95% CI 41-51]). Not seeing a PCP at least annually decreased screening by 22% (adjusted risk ratio 0.78 [95% CI 0.71-0.84]). CONCLUSION: Primary lipid screening was performed in fewer than half of eligible RA patients, highlighting a key target for CVD risk reduction efforts. Annual visits to a PCP improved lipid screening, although performance remained poor (51%). Half of RA patients saw their rheumatologist as often or more often than they saw a PCP, illustrating the need to study optimal partnerships between PCPs and rheumatologists for screening patients for CVD risks.

Pending laboratory tests and the hospital discharge summary in patients discharged to sub-acute care.

BACKGROUND: Previous studies have noted a high (41%) prevalence and poor discharge summary communication of pending laboratory (lab) tests at the time of hospital discharge for general medical patients. However, the prevalence and communication of pending labs within a high-risk population, specifically those patients discharged to sub-acute care (i.e., skilled nursing, rehabilitation, long-term care), remains unknown. OBJECTIVE: To determine the prevalence and nature of lab tests pending at hospital discharge and their inclusion within hospital discharge summaries, for common sub-acute care populations. DESIGN: Retrospective cohort study. PARTICIPANTS: Stroke, hip fracture, and cancer patients discharged from a single large academic medical center to sub-acute care, 2003-2005 (N = 564) MAIN MEASURES: Pending lab tests were abstracted from the laboratory information system (LIS) and from each patient's discharge summary, then grouped into 14 categories and compared. Microbiology tests were sub-divided by culture type and number of days pending prior to discharge. KEY RESULTS: Of sub-acute care patients, 32% (181/564) were discharged with pending lab tests per the LIS; however, only 11% (20/181) of discharge summaries documented these. Patients most often left the hospital with pending microbiology tests (83% [150/181]), particularly blood and urine cultures, and reference lab tests (17% [30/181]). However, 82% (61/74) of patients' pending urine cultures did not have 24-hour preliminary results, and 19% (13/70) of patients' pending blood cultures did not have 48-hour preliminary results available at the time of hospital discharge. CONCLUSIONS: Approximately one-third of the sub-acute care patients in this study had labs pending at discharge, but few were documented within hospital discharge summaries. Even after considering the availability of preliminary microbiology results, these omissions remain common. Future studies should focus on improving the communication of pending lab tests at discharge and evaluating the impact that this improved communication has on patient outcomes.