Association Between Preventive Dental Care and Healthcare Cost for Enrollees With Diabetes or Coronary Artery Disease: 5-Year Experience.

BACKGROUND: Evidence of preventive dental care impacting healthcare costs among diabetes or coronary artery disease (CAD) patients is sparse. METHODS: This study examined the association between healthcare costs and adherence with preventive dental care protocols among diabetes and CAD patients in a dental plan affiliated with a large commercial health plan in Arkansas. These patients were auto-enrolled in a program with additional benefits at no cost, and support from medical and dental care management teams was evaluated. All-cause cost was defined as the total amount paid by the health plan. RESULTS: Adherence with preventive dental care was associated with significant average yearly cost savings. The ranges of these savings were progressively higher for patients with only diabetes ($515 to $574), only CAD ($548 to $675), and CAD + diabetes ($866 to $1,718). Most of these savings originated in costs associated with inpatient admissions, which were between 25% and 36% for all disease classifications for all years. CONCLUSIONS: Preventive dental care is strongly associated with significant savings for diabetes and CAD patients, and such savings were highest for diabetes + CAD patients, followed by patients with only CAD and only diabetes. PRACTICAL IMPLICATIONS: Health plans should include dental coverage in their benefits package and incentivize adherence with preventive dental care to improve health and lower costs for enrollees with diabetes and CAD.

REadmission PREvention in SepSis: Development and Validation of a Prediction Model.

ABSTRACT: Hospital 30-day readmissions remain a major quality and cost indicator. Traditional readmission risk scores, such as LACE (length of stay, acuity of admission, Charlson comorbidity index, and emergency department visits), may be suboptimal in special patient populations, such as those with sepsis. As sepsis survivorship improves, there is a need to determine which variables might be associated with a decrease in 30-day readmission. We completed a retrospective analysis reviewing patients with sepsis who had unplanned 30-day readmissions. Multivariate regression analysis was performed for the REadmission PREvention in SepSis (REPRESS) model, which evaluated age, length of stay, Charlson disease count, Richmond Agitation-Sedation Scale score, discharge to a skilled nursing facility, and mobility for predictive significance in hospital readmission. Our REPRESS model performed better when compared with LACE for predicting readmission risk in a sepsis population.

Impact of advance care planning consults on advance directives completion.

OBJECTIVES: Advance care planning (ACP) consults have been credited with increasing the likelihood that patients will receive desired care at the end of life, including reduced hospitalization and spending. We aimed to investigate whether implementation of ACP consults leads to improved advance directive (AD) completion rates. STUDY DESIGN: Retrospective case-control evaluation. METHODS: Chart review was conducted among patients in hematology/oncology and primary care to compare AD completion rates of patients in each clinical area offered ACP consults between July 1, 2017, and June 30, 2018, and those not offered ACP consults prior to July 1, 2017. RESULTS: Completed ADs increased from historic rates of 1% to 65.9% of primary care patient records. Among hematology/oncology patients offered consults, completed ADs were present in 28.1% of patient records compared with historic rates of 3%. CONCLUSIONS: Patients offered ACP consults had significantly higher AD completion rates than those without consults in both primary care and hematology/oncology practices. The difference in ACP consult attendance between the primary care and hematology/oncology groups clearly suggests that further improvements can be made to assist patients in accessing AD education and completion support.

Incidence and risk factors for prolonged postoperative opioid use following lumbar spine surgery: a cohort study.

OBJECTIVE: Sustained postoperative opioid use after elective surgery is a matter of growing concern. Herein, the authors investigated incidence and predictors of long-term opioid use among patients undergoing elective lumbar spine surgery, especially as a function of opioid prescribing practices at postoperative discharge (dose in morphine milligram equivalents [MMEs] and type of opioid). METHODS: The OptumLabs Data Warehouse (OLDW) was queried for postdischarge opioid prescriptions for patients undergoing elective lumbar decompression and discectomy (LDD) or posterior lumbar fusion (PLF) for degenerative spine disease. Only patients who received an opioid prescription at postoperative discharge and those who had a minimum of 180 days of insurance coverage prior to surgery and 180 days after surgery were included. Opioid-naive patients were defined as those who had no opioid fills in 180 days prior to surgery. The following patterns of long-term postoperative use were investigated: additional fills (at least one opioid fill 90-180 days after surgery), persistent fills (any span of opioid use starting in the 180 days after surgery and lasting at least 90 days), and Consortium to Study Opioid Risks and Trends (CONSORT) criteria for persistent use (episodes of opioid prescribing lasting longer than 90 days and 120 or more total days' supply or 10 or more prescriptions in 180 days after the index fill). Multivariable logistic regression was performed to identify predictors of long-term use. RESULTS: A total of 25,587 patients were included, of whom 52.7% underwent PLF (n = 13,486) and 32.5% (n = 8312) were opioid-naive prior to surgery. The rates of additional fills, persistent fills, and CONSORT use were 47%, 30%, and 23%, respectively, after PLF and 35.4%, 19%, and 14.2%, respectively, after LDD. The rates among opioid-naive patients were 18.9%, 5.6%, and 2.5% respectively, after PLF and 13.3%, 2.0%, and 0.8%, respectively, after LDD. Using multivariable logistic regression, the following were identified to be significantly associated with higher risk of long-term opioid use following PLF: discharge opioid prescription ≥ 500 MMEs, prescription of a long-acting opioid, female sex, multilevel surgery, and comorbidities such as depression and drug abuse (all p < 0.05). Elderly (age ≥ 65 years) and opioid-naive patients were found to be at lower risk (all p < 0.05). Similar results were obtained on analysis for LDD with the following significant additional risk factors identified: discharge opioid prescription ≥ 400 MMEs, prescription of tramadol alone at discharge, and inpatient surgery (all p < 0.05). CONCLUSIONS: In an analysis of pharmacy claims from a national insurance database, the authors identified incidence and predictors of long-term opioid use after elective lumbar spine surgery.

Do all outpatient spine surgeries cost the same? Comparison of economic outcomes data from a state-level database for outpatient lumbar decompression performed in an ambulatory surgery center or hospital outpatient setting.

OBJECTIVE: Spinal procedures are increasingly conducted as outpatient procedures, with a growing proportion conducted in ambulatory surgery centers (ASCs). To date, studies reporting outcomes and cost analyses for outpatient spinal procedures in the US have not distinguished the various outpatient settings from each other. In this study, the authors used a state-level administrative database to compare rates of overnight stays and nonroutine discharges as well as index admission charges and cumulative 7-, 30-, and 90-day charges for patients undergoing outpatient lumbar decompression in freestanding ASCs and hospital outpatient (HO) settings. METHODS: For this project, the authors used the Florida State Ambulatory Surgery Database (SASD), offered by the Healthcare Cost and Utilization Project (HCUP), for the years 2013 and 2014. Patients undergoing outpatient lumbar decompression for degenerative diseases were identified using CPT (Current Procedural Terminology) and ICD-9 codes. Outcomes of interest included rates of overnight stays, rate of nonroutine discharges, index admission charges, and subsequent admission cumulative charges at 7, 30, and 90 days. Multivariable analysis was performed to assess the impact of outpatient type on index admission charges. Marginal effect analysis was employed to study the difference in predicted dollar margins between ASCs and HOs for each insurance type. RESULTS: A total of 25,486 patients were identified; of these, 7067 patients (27.7%) underwent lumbar decompression in a freestanding ASC and 18,419 (72.3%) in an HO. No patient in the ASC group required an overnight stay compared to 9.2% (n = 1691) in the HO group (p < 0.001). No clinically significant difference in the rate of nonroutine discharge was observed between the two groups. The mean index admission charge for the ASC group was found to be significantly higher than that for the HO group ($35,017.28 ± $14,335.60 vs $33,881.50 ± $15,023.70; p < 0.001). Patients in ASCs were also found to have higher mean 7-day (p < 0.001), 30-day (p < 0.001), and 90-day (p = 0.001) readmission charges. ASC procedures were associated with increased charges compared to HO procedures for patients on Medicare or Medicaid (mean index admission charge increase $4049.27, 95% CI $2577.87-$5520.67, p < 0.001) and for patients on private insurance ($4775.72, 95% CI $4171.06-$5380.38, p < 0.001). For patients on self-pay or no charge, a lumbar decompression procedure at an ASC was associated with a decrease in index admission charge of -$10,995.38 (95% CI -$12124.76 to -$9866.01, p < 0.001) compared to a lumbar decompression procedure at an HO. CONCLUSIONS: These "real-world" results from an all-payer statewide database indicate that for outpatient spine surgery, ASCs may be associated with higher index admission and subsequent 7-, 30-, and 90-day charges. Given that ASCs are touted to have lower overall costs for patients and better profit margins for physicians, these analyses warrant further investigation into whether this cost benefit is applicable to outpatient spine procedures.

Can AM-PAC "6-Clicks" Inpatient Functional Assessment Scores Strengthen Hospital 30-Day Readmission Prevention Strategies?

Background Prevention of unplanned hospital readmissions remains a priority in the US healthcare sector. Patient functional status has evolved as an important factor in identifying patients at risk for unplanned readmissions and poor predischarge functional performance has been shown to be predictive of increased readmission risk. Yet, patient functional status appears to be underutilized in readmission prediction models. Methods To examine the impact of inpatient functional status (mobility and activity performance) on unplanned 30-day hospital readmissions at two tertiary care hospitals, retrospective cohort analysis was performed on electronic health record data from adult inpatients (N = 26,298) having undergone completed functional assessments during their index hospitalization. Primary outcomes were functional assessment scores and unplanned all-cause patient readmission within 30 days following hospital discharge. Secondary analysis stratified the assessment by discharge destination. Functional assessment scores from the Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" Basic Mobility Short Form or Daily Activity Short Form were extracted along with patient demographics, admission diagnoses, comorbid conditions, and hospital readmission risk score.  Results Adjusting for age, sex, and comorbidity, lower AM-PAC "6-Clicks" Basic Mobility and Daily Activity scores resulted in higher readmission rates when each score was considered separately. When both scores were considered, only Daily Activity scores were significant.  Conclusion Patients with lower Basic Mobility and Daily Activity scores are at a higher risk for readmission. The relative importance of AM-PAC "6-Click" scores on short-term readmission depends on discharge destination. Timely identification of patient mobility and activity performance may lead to earlier intervention strategies to reduce readmissions.

Variations in Postoperative Opioid Prescription Practices and Impact on Refill Prescriptions Following Lumbar Spine Surgery.

OBJECTIVE: Understanding postsurgical prescribing patterns and their impact on persistent opioid use is important for establishing reasonable opioid prescribing protocols. We aimed to determine national variation in postoperative opioid prescription practices following elective lumbar spine surgery and their impact on short-term refill prescriptions. METHODS: The OptumLabs Data Warehouse was queried from 2016 to 2017 for adults undergoing anterior lumbar fusion, posterior lumbar fusion, circumferential lumbar fusion, and lumbar decompression/discectomy for degenerative spine disease. Discharge opioid prescription fills were obtained and converted to morphine milligram equivalents (MMEs). Age- and sex-adjusted MMEs and frequency of discharge prescriptions >200 MMEs were determined for each U.S. census division and procedure type. RESULTS: The study included 43,572 patients with 37,894 postdischarge opioid prescription fills. There was wide variation in mean filled MMEs across all census divisions (anterior lumbar fusion: 774-1147 MMEs; posterior lumbar fusion: 717-1280 MMEs; circumferential lumbar fusion: 817-1271 MMEs; lumbar decompression/discectomy: 619-787 MMEs). A significant proportion of cases were found to have filled discharge prescriptions >200 MMEs (posterior lumbar fusion: 78.6%-95%; anterior lumbar fusion: 87.5%-95.6%; circumferential lumbar fusion: 81.4%-96.5%; lumbar decompression/discectomy: 80.5%-91%). Multivariable logistic regression showed that female sex and inpatient surgery were associated with a top-quartile discharge prescription and a short-term second opioid prescription fill, while the opposite was noted for elderly and opioid-naïve patients (all P ≤ 0.05). Prescriptions with long-acting opioids were associated with higher odds of a second opioid prescription fill (reference: nontramadol short-acting opioid). CONCLUSIONS: In analysis of filled opioid prescriptions, we observed a significant proportion of prescriptions >200 MMEs and wide regional variation in postdischarge opioid prescribing patterns following elective lumbar spine surgery.

Outcomes of a Nursing Home-to-Community Care Transition Program.

OBJECTIVES: Most transitional care initiatives to reduce rehospitalization have focused on the transition that occurs between a patient's hospital discharge and return home. However, many patients are discharged from a skilled nursing facility (SNF) to their homes. The goal was to evaluate the effectiveness of the Mayo Clinic Care Transitions (MCCT) program (hereafter called program) among patients discharged from SNFs to their homes. DESIGN: Propensity-matched control-intervention trial. INTERVENTION: Patients in the intervention group received care management following nursing stay (a home visit and nursing phone calls). SETTING AND PARTICIPANTS: Patients enrolled after discharge from an SNF to home were matched to patients who did not receive intervention because of refusal, program capacity, or distance. Patients were aged ≥60 years, at high risk for hospitalization, and discharged from an SNF. METHODS: Program enrollees were matched through propensity score to nonenrollees on the basis of age, sex, comorbid health burden, and mortality risk score. Conditional logistic regression analysis examined 30-day hospitalization and emergency department (ED) use; Cox proportional hazards analyses examined 180-day hospital stay and ED use. RESULTS: Each group comprised 160 patients [mean (standard deviation) age, 85.4 (7.4) years]. Thirty-day hospitalization and ED rates were 4.4% and 10.0% in the program group and 3.8% and 10.0% in the group with usual care (P = .76 for hospitalization; P > .99 for ED). At 180 days, hospitalization and ED rates were 30.6% and 46.3% for program patients compared with 11.3% and 25.0% in the comparison group (P < .001). CONCLUSIONS AND IMPLICATIONS: We found no evidence of reduced hospitalization or ED visits by program patients vs the comparison group. Such findings are crucial because they illustrate how aggressive stabilization care within the SNF may mitigate the program role. Furthermore, we found higher ED and hospitalization rates at 180 days in program patients than the comparison group.

Functional Outcomes and Health-Related Quality of Life Before and After Primary Total Knee Replacement for Patients From Diverse Geographic Regions.

BACKGROUND: The purpose of this study was to investigate whether patient-reported knee function and health status before and after primary total knee replacement (TKR) at an academic medical center differs among patients from diverse geographic regions. METHODS: We assessed patient-reported outcomes (PROs) as measured by the Oxford Knee Score (OKS) and EuroQoL-5D (EQ-5D) in 2855 TKR patients at preprimary and one year postprimary TKR procedure between January 1, 2012 and June 30, 2014. We compared the demographic characteristics, response rates, and changes in OKS, EQ-5D, and EQ visual analog scale among local, regional, and national patient groups. Patient- or hospital-related predictors of the postoperative scores were identified after controlling for preoperative scores on the PRO measures. RESULTS: Local patients had more comorbid conditions. Groups were similar in clinical outcomes such as length of stay at hospital, complication, and reoperation rates. Local, regional, and national patients had similar response rates and reported a similar level of knee function and health-related quality of life before and after TKR. Eighty nine percent had clinically important improvement on OKS, 69% on EQ-5D index, and 28% EQ visual analog scale, and there were no differences among groups in the proportions of clinically meaningful change. Better postoperative PRO scores were associated with older age, shorter hospital stay, fewer comorbidities, nonsmoking status, fewer complications, and private health insurance. CONCLUSION: Some patient characteristics such as comorbidities were greater in the local patient cohort versus the national cohort. Nevertheless, clinical outcomes and PROs were comparable across all geographic tiers.

Screening for Diabetic Retinopathy with a Nonmydriatic Ultra-Wide-Field Retina Camera by Family Medicine Physicians.

PURPOSE: Diabetic retinopathy (DR) is the leading cause of blindness among working-aged adults aged 20 to 74 years. Despite professional association guidelines that recommend yearly screening for DR, only about 60% of Americans with diabetes mellitus (DM) receive annual examinations. The purpose of this 2-phase study was to determine the ability of family medicine (FM) physicians to accurately interpret retinal images of patients with DM. METHODS: Five FM physicians received a 1-hour lecture on DR by a retinal specialist after which the physicians were shown 30 ultrawide-field retina images and asked to determine whether the images contained signs of DR (phase 1). PATIENTS: Patients with DM who had not received an eye examination within the past year underwent nonmydriatic retinal photography in a FM clinic (phase 2). The 5 FM physicians were asked to evaluate the images for signs of DR and the images were simultaneously sent to a retinal specialist for independent interpretation. The diagnoses of the FM physicians and retina specialist were compared. Patients were informed of their results and were asked to complete a brief telephone survey regarding their experience with the screening process. RESULTS: Thirty retina images, 5 with DR and 25 without DR, were included in the postlecture assessment. Each of the 30 images was reviewed by all 5 FM physicians. Of the 5 images with DR, 3 were correctly diagnosed by all 5 FM physicians, 1 was correctly diagnosed by 4, and 1 was accurately diagnosed by 3. Overall accuracy for the 5 FM physicians was 100%, 100%, 100%, 97%, and 87%. Among the 34 patients included in phase 2, 3 (8%) were diagnosed with DR by the retinal specialist but 8 (24%) were diagnosed with DR by the FM physicians. Of the 3 patients with DR confirmed by the retinal specialist, only 1 was detected by the FM physicians (sensitivity, 33%; 95% CI, 1% to 91%). Of the 31 patients without DR as determined by the retinal specialist, 24 were accurately diagnosed by the FM physicians (specificity, 77%; 95% CI, 59% to 90%). The screening procedure was considered easy/efficient by 28 of 31 (90%) respondents. CONCLUSION: To improve early detection of DR new screening methods should be considered. FM physicians were able to accurately identify DR on postlecture images but were not as accurate when evaluating images taken from patients in the FM clinic. Patients found the screening process to be easy and efficient. This study was limited by the small sample size, particularly the limited number of DR cases. Future studies that include cases with a wide variation of DR severity are needed to determine the accuracy of FM physicians at detecting DR in a clinical setting.

Do safety-net hospitals provide equitable care after decompressive surgery for acute cauda equina syndrome?

INTRODUCTION: Safety-net hospitals provide care to a substantial share of disadvantaged patient populations. Whether disparities exist between safety-net hospitals and their counterparts in performing emergent neurosurgical procedures has not yet been examined. OBJECTIVE: We used the Nationwide Inpatient Sample (NIS), a national all-payer inpatient healthcare database, to determine whether safety-net hospitals provide equitable care after decompressive surgery for acute cauda equina syndrome (CES). METHODS: The NIS from 2002 to 2011 was queried for patients with a diagnosis of acute CES who received decompressive surgery. Hospital safety-net burden was designated as low (LBH), medium (MBH), or high (HBH) based on the proportion of inpatient admissions that were billed as Medicaid, self-pay, or charity care. Etiologies of CES were classified as degenerative, neoplastic, trauma, and infectious. Significance was defined at p < 0.01. RESULTS: A total of 5607 admissions were included in this analysis. HBHs were more likely than LBHs to treat patients who were Black, Hispanic, on Medicaid, or had a traumatic CES etiology (p < 0.001). After adjusting for patient, hospital, and clinical factors treatment at an HBH was not associated with greater inpatient adverse events (p = 0.611) or LOS (p = 0.082), but was associated with greater inflation-adjusted admission cost (p = 0.001). DISCUSSION: Emergent decompressive surgery for CES performed at SNHs is associated with greater inpatient costs, but not greater inpatient adverse events or LOS. Differences in workflows at SNHs may be the drivers of these disparities in cost and warrant further investigation.

Hospital robotic use for colorectal cancer care.

The use of robotic surgery for colorectal cancer continues to increase. However, not all organizations offer patients the option of robotic intervention. This study seeks to understand organizational characteristics associated with the utilization of robotic surgery for colorectal cancer. We conducted a retrospective study of hospitals identified in the United States, State of Florida Inpatient Discharge Dataset, and linked data for those hospitals with the American Hospital Association Survey, Area Health Resource File and the Health Community Health Assessment Resource Tool Set. The study population included all robotic surgeries for colorectal cancer patients in 159 hospitals from 2013 to 2015. Logistic regressions identifying organizational, community, and combined community and organizational variables were utilized to determine associations. Results indicate that neither hospital competition nor disease burden in the community was associated with increased odds of robotic surgery use. However, per capita income (OR 1.07 95% CI 1.02, 1.12), average total margin (OR 1.01, 95% CI 1.001, 1.02) and large-sized hospitals compared to small hospitals (OR: 5.26, 95% CI 1.13, 24.44) were associated with increased odds of robotic use. This study found that market conditions within the U.S. State of Florida are not primary drivers of hospital use of robotic surgery. The ability for the population to pay for such services, and the hospital resources available to absorb the expense of purchasing the required equipment, appear to be more influential.

Adverse Events Detection Through Global Trigger Tool Methodology: Results From a 5-Year Study in an Italian Hospital and Opportunities to Improve Interrater Reliability.

OBJECTIVE: Global Trigger Tool (GTT) has been proposed as a low-cost method to detect adverse events (AEs). The validity of the methodology has been questioned because of moderate interrater agreement. Continuous training has been suggested as a means to improve consistency over time. We present the main findings of the implementation of the Italian version of the GTT and evaluate efforts to improve the interrater reliability over time. METHODS: The Italian version of the GTT was developed and implemented at the San Bonifacio Hospital, a 270-bed secondary care acute hospital in Verona, Italy. Ten clinical records randomly selected every 2 weeks were reviewed from 2009 to 2014. Two-stage interrater reliability assessment between team members was conducted on 2 subsamples of 50 clinical records before and after the implementation of specific review rules and staff training. RESULTS: Among 1320 medical records reviewed, a total of 366 AEs were found with at least 1 AE on 20.2% of all discharges, 27.7 AEs/100 admissions, and 30.6 AEs/1000 patient-days. Adverse events with harm score E and F were respectively 58.2% (n = 213) and 38.8% (n = 142). First round interrater reliability was comparable with other international studies. The interrater agreement improved significantly after intervention (κ interrater I = 0.52, κ interrater II = 0.80, P < 0.001). CONCLUSIONS: Despite the improvements in the interrater consistency, overall results did not show any significant trend in AEs over time. Future studies may be directed to apply and adapt the GTT methodology to more specific settings to explore how to improve its sensitivity.

Use of a Computerized Algorithm to Evaluate the Proportion and Causes of Potentially Preventable Readmissions Among Patients Discharged to Skilled Nursing Facilities.

OBJECTIVES: Older patients discharged to skilled nursing facilities (SNFs) for post-acute care are at high risk for hospital readmission. Yet, as in the community setting, some readmissions may be preventable with optimal transitional care. This study examined the proportion of 30-day hospital readmissions from SNFs that could be considered potentially preventable readmissions (PPRs) and evaluated the reasons for these readmissions. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Post-acute practice of an integrated health care delivery system serving 11 SNFs in the US Midwest. Patients discharged from the hospital to an SNF and subsequently readmitted to the hospital within 30 days from January 1, 2009, through November 31, 2016. METHODS: A computerized algorithm evaluated the relationship between initial and repeat hospitalizations to determine whether the repeat hospitalization was a PPR. We assessed for changes in PPR rates across the system over the study period and evaluated the readmission categories to identify the most prevalent PPR categories. RESULTS: Of 11,976 discharges to SNFs for post-acute care among 8041 patients over the study period, 16.6% resulted in rehospitalization within 30 days, and 64.8% of these rehospitalizations were considered PPRs. Annual proportion of PPRs ranged from 58.2% to 66.4% [mean (standard deviation) 0.65 (0.03); 95% confidence interval CI 0.63-0.67; P = .36], with no discernable trend. Nearly one-half (46.2%) of all 30-day readmissions were classified as potentially preventable medical readmissions related to recurrence or continuation of the reason for initial admission or to complications from the initial hospitalization. CONCLUSIONS AND IMPLICATIONS: For this cohort of patients discharged to SNFs, a computerized algorithm categorized a large proportion of 30-day hospital readmissions as potentially preventable, with nearly one-half of those linked to the reason for the initial hospitalization. These findings indicate the importance of improvement in postdischarge transitional care for patients discharged to SNFs.

Disparities in inpatient costs and outcomes after elective anterior cervical discectomy and fusion at safety-net hospitals.

INTRODUCTION: Characterizing disparities that exist at safety-net hospitals is crucial for crafting national healthcare reform policies. Healthcare disparities in performing elective neurosurgical procedures like anterior cervical discectomy and fusion (ACDF) at safety-net hospitals have not yet been examined. OBJECTIVE: We use the National Inpatient Sample (NIS), a national all-payer healthcare database of inpatient admissions, to determine whether safety-net hospitals can provide equitable care after elective ACDF. METHODS: The NIS from 2002 to 2011 was queried for patients who received ACDF in the context of degenerative spine disease. Hospital safety-net burden was designated as low (LBH), medium (MBH), or high (HBH) based on the proportion of inpatient admissions that were billed as Medicaid, self-pay, or charity care. Significance was set at p < 0.001. RESULTS: A total of 219,433 admissions were included in this analysis. HBHs were more likely than LBHs to treat patients who were Black, Hispanic, on Medicaid, or had myelopathy (p < 0.001). After adjusting for patient, hospital, and clinical factors, treatment at an HBH was associated with greater in-patient inflation-adjusted log cost (p < 0.001), but not with greater length of stay (LOS) (p = 0.04) or odds of an inpatient adverse event like death, incidental durotomy, surgical site infections, deep vein thromboses and others (OR 95 % CI = 0.86-1.42, p = 0.43) compared to LBHs. DISCUSSION: Safety net hospitals had greater inpatient costs, but no greater LOS or odds of inpatient adverse events after elective ACDF. These results demonstrate a need for policies that reduce the cost of performing ACDFs at SNHs.

Impact of a Program to Improve Venous Thromboembolism Prophylaxis on Incidence of Thromboembolism and Bleeding Rates in Hospitalized Patients During Implementation of Programs to Improve Venous Thromboembolism Prophylaxis.

OBJECTIVE: To study the impact of multiphase quality improvement efforts to enhance appropriate use of chemical and mechanical venous thromboembolism (VTE) prophylaxis (VTEP) on the rate of hospital-acquired VTE and determine whether efforts have been associated with increased bleeding complications. PATIENTS AND METHODS: All adult inpatients discharged between January 1, 2005, and December 31, 2015, were included in the study. Retrospective interrupted time series analysis compared VTEP performance, VTE outcomes, and unintended consequences (derived from linked administrative and clinical data) across 5 improvement phases: baseline (January 1, 2005-December 31, 2006), paper order set phase (January 1, 2007-February 9, 2009), electronic order set phase (February 10, 2009-December 16, 2009), active reminder phase (December 17, 2009-May 31, 2012), and maintenance phase (June 1, 2012-September 30, 2015). RESULTS: Guideline VTEP plan adherence at the end of the study period (including documenting contraindications) reached 88.8% (654,138 of 736,384 patient days). Delivery of pharmacological VTEP increased from 43.9% (49,155 of 111,906 patients) to 60.8% (75,784 of 124,676 patients); delivery of mechanical or pharmacological VTEP increased less (65.0% [431,791 of 664,087 patient days] to 67.4% [496,625 of 736,384 patient days]). Mean VTE rates decreased from 4.6 per 1000 hospitalizations (21.7 VTEs per month) at baseline to 4.3 per 1000 hospitalizations (18.0 VTEs per month) during the maintenance phase (P<.001). More than 97% of patients who had development of VTE (534 of 548) received VTEP, but 65.7% (360 of 548) experienced gaps of 1 or more days in VTEP delivery. Measured in-hospital bleeding rates were fairly consistent over the study (4.6% [5,198 of 111,906 patients] at baseline to 5.3% [6,662 of 124,676 patients] during the reminder phase). There was little change in rates of 7-day readmission with bleeding or VTE. CONCLUSION: Our VTEP project improved guideline compliance, increased the proportion of patients receiving VTEP, and was associated with a decrease in VTE. Gaps in VTEP delivery occurred despite protocoled order sets and electronic feedback. Further improvements in VTE may require new approaches.

Neuro R2 score: Predicting high-risk neurologic readmissions within 30 days.

OBJECTIVE: To evaluate clinical and demographic factors of patients with neurologic disorders to determine which patient characteristics are significant for predicting 30-day hospital readmissions to develop a readmission risk predictor specific to patients with neurologic disorders. METHODS: We performed a retrospective single-center chart review for all patients admitted to the Department of Neurology or neurologic intensive care unit from January 1, 2013, to December 31, 2017. Clinical and demographic factors were analyzed to determine the association with readmission. Multivariable logistic regression analysis was performed and validated to develop a simple tool (Neuro R2 score) for predicting patients with neurologic disorders at high risk for hospital readmission. RESULTS: After removal of planned readmissions and patients who died in the hospital, the records of 4,876 patients with 314 (6.4%) readmission events were analyzed. The strongest predictors for readmission were Charlson disease count (odds ratio [OR] 1.20, 95% confidence interval [CI] 1.06-1.35, p = 0.005), urgent or emergent admission (OR 1.50, 95% CI 1.04-2.17, p = 0.031), discharge to rehabilitation (OR 1.66, 95% CI 1.16-2.35, p = 0.005), cancer (OR 1.70, 95% CI 1.15-2.50, p = 0.007), brain tumor (OR 1.82, 95% CI 1.08-3.09, p < 0.03), cerebrovascular disease (OR 2.18, 95% CI 1.53-3.11, p < 0.001), and discharge to skilled nursing facility (OR 2.43, 95% CI 1.65-3.57, p < 0.001). CONCLUSIONS: The Neuro R2 score was developed to predict readmission risk, specifically in patients with neurologic disorders. Future research could include further validation of this readmission risk tool and strategies to reduce readmission in patients with the highest risk.

Impact of Patient Stage and Disease Characteristics on the proposed Radiation Oncology Alternative Payment Model (RO-APM).

PURPOSE: The proposed Radiation Oncology Alternative Payment Model (RO-APM) released on July 10, 2019, represents a dramatic shift from fee-for-service (FFS) reimbursement in radiation therapy (RT). This study compares historical revenue at Mayo Clinic to the RO-APM and quantifies the effect that disease characteristics may have on reimbursement. METHODS AND MATERIALS: FFS Medicare reimbursements were determined for patients undergoing RT at Mayo Clinic from 2015 to 2016. Disease categories and payment episodes were defined as per the RO-APM. Average RT episode reimbursements were reported for each disease site, except for lymphoma and metastases, and stratified by stage and disease subcategory. Comparisons with RO-APM reimbursements were made via descriptive statistics. RESULTS: A total of 2098 patients were identified, of whom 1866 (89%) were categorized per the RO-APM; 840 (45%) of those were aged >65 years. Breast (33%), head and neck (HN) (14%), and prostate (11%) cancer were most common. RO-APM base rate reimbursements and sensitivity analysis range were lower than historical reimbursement for bladder (-40%), cervical (-34%), lung (-28%), uterine (-26%), colorectal (-24%), upper gastrointestinal (-24%), HN (-23%), pancreatic (-20%), prostate (-16%), central nervous system (-13%), and anal (-10%) and higher for liver (+24%) and breast (+36%). Historical reimbursement varied with stage (stage III vs stage I) for breast (+57%, P < .01), uterine (+53%, P = .01), lung (+50%, P < .01), HN (+24%, P = .01), and prostate (+13%, P = .01). Overall, for patients older than 65 years of age, the RO-APM resulted in a -9% reduction in total RT reimbursement compared with historical FFS (-2%, -15%, and -27% for high, mid, and low adjusted RO-APM rates). CONCLUSIONS: Our findings indicate that the RO-APM will result in significant reductions in reimbursement at our center, particularly for cancers more common in underserved populations. Practices that care for socioeconomically disadvantaged populations may face significant reductions in revenue, which could further reduce access for this vulnerable population.

Disparities influencing rates of urgent/emergent surgery for diverticulitis in the state of Florida.

BACKGROUND: Patients with diverticulitis have a 20% risk of requiring urgent/emergent treatment. Since morbidity and mortality rates differ between elective and urgent/emergent care, understanding associated disparities is critical. We compared factors associated with treatment setting for diverticulitis and evaluated disparities regarding access to Minimally Invasive Surgery (MIS) and development of complications. METHODS: The Florida Inpatient Discharge Dataset was queried for patients diagnosed with diverticulitis. Three multivariate models were utilized: 1) elective vs urgent/emergent surgery, 2) MIS vs open and 3) presence of complications. RESULTS: The analysis included 12,654 patients. Factors associated with increased odds of urgent/emergent care included being uninsured or covered by Medicaid, African American, obese, or more comorbid. MIS was associated with reduced odds of complications. Patients treated by high-volume or colorectal surgeons had increased odds of receiving MIS. CONCLUSIONS: Patients were more likely to receive MIS if they were treated by a colorectal surgeon, or a high-volume surgeon (colorectal, or general surgeon). Additionally, patients that were older, had increased comorbidities, or did not have health insurance were less likely to receive MIS.

Impact of Psychiatric Comorbidities on Health Care Costs Among Patients With Cancer.

BACKGROUND: Psychiatric disorders are common in cancer patients and impact outcomes. Impact on cancer care cost needs study to develop business case for psychosocial interventions. OBJECTIVE: To evaluate the impact of preexisting psychiatric comorbidities on total cost of care during 6 months after cancer diagnosis. METHODS: This retrospective cohort study examined patients diagnosed with cancer between January 1, 2009, and December 31, 2014, at one National Cancer Institute-designated cancer center. Patients who received all cancer treatment at the study site (6598 of 11,035 patients) were included. Patients were divided into 2 groups, with or without psychiatric comorbidity, based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Total costs of care during the first 6 months of treatment were based on standardized costs adjusted to 2014 dollars, determined by assigning Medicare reimbursement rates to professional billed services and applying appropriate cost-to-charge ratios. Quantile regression models with covariate adjustments were developed to assess the effect of psychiatric comorbidity across the distribution of costs. RESULTS: Six hundred ninety-eight (10.6%) of 6598 eligible patients had at least one psychiatric comorbidity. These patients had more nonpsychiatric Elixhauser comorbidities (mean 4 vs. 3). Unadjusted total cancer care costs were higher for patients with psychiatric comorbidity (mean [standard deviation]: $51,798 [$74,549] vs. $32,186 [$45,240]; median [quartiles]: $23,871 [$10,705-$57,338] vs. $19,073 [$8120-$38,230]). Quantile regression models demonstrated that psychiatric comorbidity had significant incremental effects at higher levels of cost: 75th percentile $8629 (95% confidence interval: $3617-13,642) and 90th percentile $42,586 (95% confidence interval: $25,843-59,330). CONCLUSIONS: Psychiatric comorbidities are associated with increased total cancer costs, especially in patients with very high cancer care costs, representing an opportunity to develop mitigation strategies.