Availability of Palliative Care in Long-Term Acute Care Hospitals.

OBJECTIVE: To determine the availability of palliative care programs in long-term acute care hospitals (LTACHs) DESIGN: Cross-sectional analysis using the 2016 American Hospital Association (AHA) Annual Survey. SETTING AND PARTICIPANTS: LTACHs in the United States. METHOD: We used descriptive analyses to compare the prevalence of palliative care programs in LTACHs across the United States in 2016. For LTACHs without a program, we also examined palliative care physician capacity in regions where those LTACHs resided to evaluate if expertise existed in those regions. RESULTS: One-third (36.5%) of 405 LTACHs (50.6% response rate) self-reported having a palliative care program. Among LTACHs without palliative care, 42.4% were in regions with the highest palliative care physician capacity nationwide. CONCLUSIONS AND IMPLICATIONS: LTACHs care for patients with serious and prolonged illnesses, many of whom would benefit from palliative care. Despite this, our study finds that specialty palliative care is limited in LTACHs. The limited palliative care availability in LTACHs is mismatched with the needs of this seriously ill population. Greater focus on increasing palliative care in LTACHs is essential and may be feasible as 40% of LTACHs without a palliative care program were located in regions with the highest palliative care physician capacity.

Appropriateness of Long-Term Acute Care Hospital Transfer: A Multicenter Study of Medicare ACO Beneficiaries.

OBJECTIVES: There is wide variation in long-term acute care hospital (LTACH) use nationwide, the most intensive and expensive post-acute care setting, although appropriateness of use is uncertain. Therefore, we examined the appropriateness and reasons for transfer in a high-use region, and how Medicare criteria for LTACH payment identifies appropriate transfers. DESIGN: Multicenter retrospective observational cohort. SETTING AND PARTICIPANTS: Consecutive hospitalized Medicare beneficiaries transferred to an LTACH from 2017 to 2018 from an accountable care organization in Texas. METHODS: The primary outcome was clinical appropriateness of transfer ascertained by 2 physician reviewers. We abstracted patients' characteristics and primary reasons for transfer. We examined the positive predictive value (PPV) of meeting Medicare criteria for full LTACH payment [preceding intensive care unit (ICU) stay ≥3 days or prolonged mechanical ventilation] for identifying appropriate transfers, and how this differed if Medicare adopted an 8-day minimum ICU stay criterion recommended by the Medicare Payment Advisory Commission (MedPAC). RESULTS: Of 105 LTACH transfers, 33 (31.4%) were clinically appropriate. The most common reason among appropriate transfers was respiratory care (58%), but 42% had other indications. Inappropriate transfers most commonly were for wound care (28%), intravenous medication infusions (28%), or patient (17%) and physician preference (26%). The PPV for meeting Medicare LTACH payment criteria was 55%. The PPV improved to 77% if Medicare adopted the 8-day minimum ICU stay criterion, with only a modest absolute increase in appropriate transfers not meeting the more stringent criteria (12% to 17%). CONCLUSIONS AND IMPLICATIONS: Two-thirds of LTACH transfers in a high-LTACH-use region are clinically inappropriate, and are most commonly transferred for wound care, intravenous infusions, or patient and physician preference. Medicare payment criteria modestly distinguished between appropriate and inappropriate transfers. Adoption of MedPAC's recommended 8-day minimum ICU stay criterion could safely reduce inappropriate transfers, although generalizability to low LTACH-use regions is uncertain.

The Clinical Course after Long-Term Acute Care Hospital Admission among Older Medicare Beneficiaries.

OBJECTIVES: Long-term acute care (LTAC) hospitals provide extended complex post-acute care to more than 120 000 Medicare beneficiaries annually, with the goal of helping patients to regain independence and recover. Because little is known about patients' long-term outcomes, we sought to examine the clinical course after LTAC admission. DESIGN: Nationally representative 5-year cohort study using 5% Medicare data from 2009 to 2013. SETTING: LTAC hospitals. PARTICIPANTS: Hospitalized Medicare fee-for-service beneficiaries 65 years of age or older who were transferred to an LTAC hospital. MEASUREMENTS: Mortality, recovery (defined as achieving 60 consecutive days alive without inpatient care), time spent in an inpatient facility following LTAC hospital admission, receipt of an artificial life-prolonging procedure (feeding tube, tracheostomy, hemodialysis), and palliative care physician consultation. RESULTS: Of 14 072 hospitalized older adults transferred to an LTAC hospital, median survival was 8.3 months, and 1- and 5-year survival rates were 45% and 18%, respectively. Following LTAC admission, 53% never achieved a 60-day recovery. The median time of their remaining life a patient spent as an inpatient after LTAC admission was 65.6% (interquartile range = 21.4%-100%). More than one-third (36.9%) died in an inpatient setting, never returning home after the LTAC admission. During the preceding hospitalization and index LTAC admission, 30.9% received an artificial life-prolonging procedure, and 1% had a palliative care physician consultation. CONCLUSION: Hospitalized older adults transferred to LTAC hospitals have poor survival, spend most of their remaining life as an inpatient, and frequently undergo life-prolonging procedures. This prognostic understanding is essential to inform goals of care discussions and prioritize healthcare needs for hospitalized older adults admitted to LTAC hospitals. Given the exceedingly low rates of palliative care consultations, future research is needed to examine unmet palliative care needs in this population. J Am Geriatr Soc 67:2282-2288, 2019.

Predicting all-cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison.

BACKGROUND: Incorporating clinical information from the full hospital course may improve prediction of 30-day readmissions. OBJECTIVE: To develop an all-cause readmissions risk-prediction model incorporating electronic health record (EHR) data from the full hospital stay, and to compare "full-stay" model performance to a "first day" and 2 other validated models, LACE (includes Length of stay, Acute [nonelective] admission status, Charlson Comorbidity Index, and Emergency department visits in the past year), and HOSPITAL (includes Hemoglobin at discharge, discharge from Oncology service, Sodium level at discharge, Procedure during index hospitalization, Index hospitalization Type [nonelective], number of Admissions in the past year, and Length of stay). DESIGN: Observational cohort study. SUBJECTS: All medicine discharges between November 2009 and October 2010 from 6 hospitals in North Texas, including safety net, teaching, and nonteaching sites. MEASURES: Thirty-day nonelective readmissions were ascertained from 75 regional hospitals. RESULTS: Among 32,922 admissions (validation = 16,430), 12.7% were readmitted. In addition to many first-day factors, we identified hospital-acquired Clostridium difficile infection (adjusted odds ratio [AOR]: 2.03, 95% confidence interval [CI]: 1.18-3.48), vital sign instability on discharge (AOR: 1.25, 95% CI: 1.15-1.36), hyponatremia on discharge (AOR: 1.34, 95% CI: 1.18-1.51), and length of stay (AOR: 1.06, 95% CI: 1.04-1.07) as significant predictors. The full-stay model had better discrimination than other models though the improvement was modest (C statistic 0.69 vs 0.64-0.67). It was also modestly better in identifying patients at highest risk for readmission (likelihood ratio +2.4 vs. 1.8-2.1) and in reclassifying individuals (net reclassification index 0.02-0.06). CONCLUSIONS: Incorporating clinically granular EHR data from the full hospital stay modestly improves prediction of 30-day readmissions. Given limited improvement in prediction despite incorporation of data on hospital complications, clinical instabilities, and trajectory, our findings suggest that many factors influencing readmissions remain unaccounted for. Further improvements in readmission models will likely require accounting for psychosocial and behavioral factors not currently captured by EHRs. Journal of Hospital Medicine 2016;11:473-480. © 2016 Society of Hospital Medicine.

National Use of Safety-Net Clinics for Primary Care among Adults with Non-Medicaid Insurance in the United States.

OBJECTIVE: To describe the prevalence, characteristics, and predictors of safety-net use for primary care among non-Medicaid insured adults (i.e., those with private insurance or Medicare). METHODS: Cross-sectional analysis using the 2006-2010 National Ambulatory Medical Care Surveys, annual probability samples of outpatient visits in the U.S. We estimated national prevalence of safety-net visits using weighted percentages to account for the complex survey design. We conducted bivariate and multivariate logistic regression analyses to examine characteristics associated with safety-net clinic use. RESULTS: More than one-third (35.0%) of all primary care safety-net clinic visits were among adults with non-Medicaid primary insurance, representing 6,642,000 annual visits nationally. The strongest predictors of safety-net use among non-Medicaid insured adults were: being from a high-poverty neighborhood (AOR 9.53, 95% CI 4.65-19.53), being dually eligible for Medicare and Medicaid (AOR 2.13, 95% CI 1.38-3.30), and being black (AOR 1.97, 95% CI 1.06-3.66) or Hispanic (AOR 2.28, 95% CI 1.32-3.93). Compared to non-safety-net users, non-Medicaid insured adults who used safety-net clinics had a higher prevalence of diabetes (23.5% vs. 15.0%, p<0.001), hypertension (49.4% vs. 36.0%, p<0.001), multimorbidity (≥2 chronic conditions; 53.5% vs. 40.9%, p<0.001) and polypharmacy (≥4 medications; 48.8% vs. 34.0%, p<0.001). Nearly one-third (28.9%) of Medicare beneficiaries in the safety-net were dual eligibles, compared to only 6.8% of Medicare beneficiaries in non-safety-net clinics (p<0.001). CONCLUSIONS: Safety net clinics are important primary care delivery sites for non-Medicaid insured minority and low-income populations with a high burden of chronic illness. The critical role of safety-net clinics in care delivery is likely to persist despite expanded insurance coverage under the Affordable Care Act.

Factors associated with primary vein graft occlusion in a multicenter trial with mandated ultrasound surveillance.

OBJECTIVE: Even in the setting of duplex ultrasound (DUS) surveillance, a significant number of lower extremity vein bypass grafts (LEVBGs) become occluded as a first event. We sought to identify factors that may contribute to these primary occlusions. METHODS: This was a retrospective analysis of the Project of Ex Vivo Graft Engineering via Transfection III (PREVENT III) multicenter randomized clinical trial, in which 1404 patients with critical limb ischemia (CLI) underwent LEVBG with 1-year follow-up. Subjects were to undergo DUS at regular intervals (1, 3, 6, and 12 months), with reintervention based on prespecified DUS criteria. Patients who had nontechnical graft occlusion as the initial graft-related event were identified, and multivariate analysis was used to determine factors associated with primary graft occlusion. RESULTS: Primary vein graft occlusion occurred in 200 subjects and accounted for 36% of all primary patency events and 64% of all graft occlusions in the trial. Primary occlusion events were evenly distributed throughout the first postoperative year. Rates of recurrent CLI, loss of secondary patency, and major amputation in those with primary occlusion were 55%, 79%, and 22% respectively as compared to 18%, 10%, and 10% for subjects without primary occlusion (P < .001). On multivariate analysis, African-American race (subdistribution hazard ratio [SHR], 1.50; 95% confidence interval [CI], 1.06-2.12), a graft diameter <3 mm (SHR, 2.31; 95% CI, 1.33-4.01), and nonadherence with ultrasound surveillance (SHR, 1.58; 95% CI, 1.10-2.27) were independently associated with primary graft occlusion. Of the 123 subjects who received their last scheduled surveillance DUS prior to a primary occlusion event, 39 had a critical ultrasound abnormality identified but failed to undergo graft revision, while 84 had no critical ultrasound abnormality identified. Among these 84 subjects, female gender (SHR, 1.65; 95% CI, 1.07-2.54), and graft diameter <3 mm (SHR, 2.12; 95% CI, 1.03-4.37) were independent factors associated with unheralded graft occlusion. CONCLUSIONS: Among patients undergoing LEVBG for CLI, almost half of primary patency events are occlusions even in the setting of a DUS surveillance protocol. African Americans, patients with smaller-diameter grafts, and those who are nonadherent with surveillance ultrasound are at increased risk. Failure to intervene on critical findings, and lack of sensitivity of DUS threshold criteria to predict thrombosis, are also important contributors. These findings suggest that prevention of vein graft thrombosis requires further improvements in risk stratification, surveillance, and the timing of reinterventions.

Use and satisfaction with key functions of a common commercial electronic health record: a survey of primary care providers.

BACKGROUND: Despite considerable financial incentives for adoption, there is little evidence available about providers' use and satisfaction with key functions of electronic health records (EHRs) that meet "meaningful use" criteria. METHODS: We surveyed primary care providers (PCPs) in 11 general internal medicine and family medicine practices affiliated with 3 health systems in Texas about their use and satisfaction with performing common tasks (documentation, medication prescribing, preventive services, problem list) in the Epic EHR, a common commercial system. Most practices had greater than 5 years of experience with the Epic EHR. We used multivariate logistic regression to model predictors of being a structured documenter, defined as using electronic templates or prepopulated dot phrases to document at least two of the three note sections (history, physical, assessment and plan). RESULTS: 146 PCPs responded (70%). The majority used free text to document the history (51%) and assessment and plan (54%) and electronic templates to document the physical exam (57%). Half of PCPs were structured documenters (55%) with family medicine specialty (adjusted OR 3.3, 95% CI, 1.4-7.8) and years since graduation (nonlinear relationship with youngest and oldest having lowest probabilities) being significant predictors. Nearly half (43%) reported spending at least one extra hour beyond each scheduled half-day clinic completing EHR documentation. Three-quarters were satisfied with documenting completion of pneumococcal vaccinations and half were satisfied with documenting cancer screening (57% for breast, 45% for colorectal, and 46% for cervical). Fewer were satisfied with reminders for overdue pneumococcal vaccination (48%) and cancer screening (38% for breast, 37% for colorectal, and 31% for cervical). While most believed the problem list was helpful (70%) and kept an up-to-date list for their patients (68%), half thought they were unreliable and inaccurate (51%). CONCLUSIONS: Dissatisfaction with and suboptimal use of key functions of the EHR may mitigate the potential for EHR use to improve preventive health and chronic disease management. Future work should optimize use of key functions and improve providers' time efficiency.