Outpatient hospitalist-run procedure service bridges the gap in oncology care.

Hospitalist-run procedure teams enable expedited care in the inpatient setting. However, wait times for outpatient interventional radiology (IR) are long at our institution. Our study thus aims to compare the safety and wait times between procedural teams and IR placement of outpatient temporary hemodialysis catheters (THDC) for patients undergoing Chimeric antigen receptor T-cell (CAR-T) therapy apheresis. A retrospective chart review was conducted on all patients receiving outpatient THDC for CAR-T therapy from August 2019 until November 2022. During our study period, only 7 of the central lines were placed by IR, while 75 were placed by the procedure service. The average wait time from CAR-T consenting to procedure was 8.9 days for the procedure service and 14.7 days for IR. The 30 day minor complication rate was low - 2.7% in the procedure group, and 0% in the IR group. No major complications were noted in either group.

Patients with alcohol-related liver disease hospitalized during the COVID-19 pandemic experienced worse outcomes.

INTRODUCTION AND OBJECTIVES: Psychosocial stressors related to the coronavirus-19 (COVID-19) pandemic increased alcohol consumption. The effect on patients with alcohol-related liver diseases remains unclear. MATERIALS AND METHODS: Hospitalizations at a tertiary care center due to alcohol-related liver disease from March 1 through August 31 in 2019 (pre-pandemic cohort) and 2020 (pandemic cohort) were reviewed retrospectively. Differences in patient demographics, disease features, and outcomes were estimated in patients with alcoholic hepatitis utilizing T-tests, Mann-Whitney tests, Chi-square and Fisher Exact Tests and Anova models and logistic regression models in patients with alcoholic cirrhosis. RESULTS: 146 patients with alcoholic hepatitis and 305 patients with alcoholic cirrhosis were admitted during the pandemic compared to 75 and 396 in the pre-pandemic cohort. Despite similar median Maddrey Scores (41.20 vs. 37.45, p=0.57), patients were 25% less likely to receive steroids during the pandemic. Patients with alcoholic hepatitis admitted during the pandemic were more likely to have hepatic encephalopathy (0.13; 95% CI:0.01, 0.25), variceal hemorrhage (0.14; 95% CI:0.04, 0.25), require oxygen (0.11; 95% CI:0.01, 0.21), vasopressors (OR:3.49; 95% CI:1.27, 12.01) and hemodialysis (OR:3.70; 95% CI:1.22, 15.13). On average, patients with alcoholic cirrhosis had MELD-Na scores 3.77 points higher (95% CI:1.05, 13.46) as compared to the pre-pandemic and had higher odds of experiencing hepatic encephalopathy (OR:1.34; 95% CI:1.04, 1.73), spontaneous bacterial peritonitis (OR:1.88; 95% CI:1.03, 3.43), ascites (OR:1.40, 95% CI:1.10, 1.79), vasopressors (OR:1.68, 95% CI:1.14, 2.46) or inpatient mortality (OR:2.00, 95% CI:1.33, 2.99) than the pre-pandemic. CONCLUSIONS: Patients with alcohol-related liver disease experienced worse outcomes during the pandemic.

Hospital utilization among urban poor in Indonesia in 2018: is government-run insurance effective?

BACKGROUND: An urban poor is a vulnerable group that needs government financing support to access health services. Once they are sick, they will fall deeper into poverty. The study aims to analyze the effectiveness of government-run insurance in hospital utilization in urban poor in Indonesia. METHODS: The research analyzed the 2018 Indonesian Basic Health Survey data. This cross-sectional survey collected 75,970 participants through stratification and multistage random sampling. Meanwhile, the study employed hospital utilization as an outcome variable and health insurance ownership as an exposure variable. Moreover, the study looked at age, gender, marital status, education, and occupation as control factors. The research employed a binary logistic regression to evaluate the data in the final step. RESULTS: The results show that someone with government-run insurance is 4.261 times more likely than the uninsured to utilize the hospital (95% CI 4.238-4.285). Someone with private-run insurance is 4.866 times more likely than the uninsured to use the hospital (95% CI 4.802-4.931). Moreover, someone with government-run and private-run insurance has 11.974 times more likely than the uninsured to utilize the hospital (95% CI 11.752-12.200). CONCLUSION: The study concluded that government-run insurance is more effective than the uninsured in improving hospital utilization among the urban poor in Indonesia. Meanwhile, private-run is more effective than government-run and uninsured in improving hospital utilization among the urban poor in Indonesia. Moreover, the most effective is to combine the kind of health insurance ownership (government-run and private-run).

Policy to expand hospital utilization in disadvantaged areas in Indonesia: who should be the target?

BACKGROUND: The disadvantaged areas are one of the government's focuses in accelerating development in Indonesia, including the health sector. The study aims to determine the target for expanding hospital utilization in disadvantaged areas in Indonesia. METHODS: The study employed the 2018 Indonesian Basic Health Survey data. This cross-sectional study analyzed 42,644 respondents. The study used nine independent variables: residence, age, gender, marital, education, employment, wealth, insurance, and travel time, in addition to hospital utilization, as a dependent variable. The study employed binary logistic regression to evaluate the data. RESULTS: The results found that average hospital utilization in disadvantaged areas in Indonesia in 2018 was 3.7%. Urban areas are 1.045 times more likely than rural areas to utilize the hospital (95% CI 1.032-1.058). The study also found age has a relationship with hospital utilization. Females are 1.656 times more likely than males to use the hospital (95% CI 1.639-1.673). Moreover, the study found marital status has a relationship with hospital utilization. The higher the education level, the higher the hospital utilization. Employed individuals have a 0.748 possibility to use the hospital compared with those unemployed (95% CI 0.740-0.757). Wealthy individuals have more chances of using the hospital than poor individuals. Individuals with all insurance types are more likely to utilize the hospital than those uninsured. Individuals with travel times of ≤ 1 h are 2.510 more likely to use the hospital than those with > 1 h (95% CI 2.483-2.537). CONCLUSION: The specific targets to accelerate the increase in hospital utilization in disadvantaged areas in Indonesia are living in a rural area, being male, never in a union, having no education, being employed, being the poorest, uninsured, and having a travel time of > 1 h. The government should make a policy addressing the problem based on the research findings.

Evaluating Social Determinants of Health in a Mobile Integrated Healthcare-Community Paramedicine Program.

In 2018, the University of Maryland Medical Center and the Baltimore City Fire Department implemented a community paramedicine program to help medically or socially complex patients transition from hospital to home and avoid hospital utilization. This study describes how patients' social determinants of health (SDoH) needs were identified, and measures the association between needs and hospital utilization. SDoH needs were categorized into ten domains. Multinomial logistic regression was used to measure association between identified SDoH domains and predicted risk of readmission. Poisson regression was used to measure association between SDoH domains and actual 30-day hospital utilization. The most frequently identified SDoH needs were in the Coordination of Healthcare (37.7%), Durable Medical Equipment (18.8%), and Medication (16.3%) domains. Compared with low-risk patients, patients with an intermediate risk of readmission were more likely to have needs within the Coordination of Healthcare (RRR [95% CI] 1.12 [1.01, 1.24], p = 0.032) and Durable Medical Equipment (RRR = 1.13 [1.00, 1.27], p = 0.046) domains. Patients with the highest risk for readmission were more likely to have needs in the Utilities domain (RRR = 1.76 [0.97, 3.19], p = 0.063). Miscellaneous domain needs, such as requiring a social security card, were associated with increased 30-day hospital utilization (IRR = 1.23 [0.96, 1.57], p = 0.095). SDoH needs within the Coordination of Healthcare, Durable Medical Equipment, and Utilities domains were associated with higher predicted 30-day readmission, while identification documentation and social services needs were associated with actual readmission. These results suggest where to allocate resources to effectively diminish hospital utilization.

Advanced practice clinician care and end-of-life outcomes for community- and nursing home-dwelling Medicare beneficiaries with dementia.

INTRODUCTION: Older adults with Alzheimer's disease and related dementias (ADRD) often face burdensome end-of-life care transfers. Advanced practice clinicians (APCs)-which include nurse practitioners and physician assistants-increasingly provide primary care to this population. To fill current gaps in the literature, we measured the association between APC involvement in end-of-life care versus hospice utilization and hospitalization for older adults with ADRD. METHODS: Using Medicare data, we identified nursing home- (N=517,490) and community-dwelling (N=322,461) beneficiaries with ADRD who died between 2016 and 2018. We employed propensity score-weighted regression methods to examine the association between different levels of APC care during their final 9 months of life versus hospice utilization and hospitalization during their final month. RESULTS: For both nursing home- and community-dwelling beneficiaries, higher APC care involvement associated with lower hospitalization rates and higher hospice rates. DISCUSSION: APCs are an important group of providers delivering end-of-life primary care to individuals with ADRD. HIGHLIGHTS: For both nursing home- and community-dwelling Medicare beneficiaries with ADRD, adjusted hospitalization rates were lower and hospice rates were higher for individuals with higher proportions of APC care involvement during their final 9 months of life. Associations between APC care involvement and both adjusted hospitalization rates and adjusted hospice rates persisted when accounting for primary care visit volume.

Hospital utilization in Indonesia in 2018: do urban-rural disparities exist?

BACKGROUND: The government must ensure equality in health services access, minimizing existing disparities between urban and rural areas. The referral system in Indonesia is conceptually sound. However, there are still problems of uneven service access, and there is an accumulation of patients in certain hospitals. The study aims to analyze the urban-rural disparities in hospital utilization in Indonesia. METHODS: The study used secondary data from the 2018 Indonesian Basic Health Survey. This cross-sectional study gathered 629,370 respondents through stratification and multistage random sampling. In addition to the kind of home and hospital utilization, the study looked at age, gender, marital status, education, occupation, wealth, and health insurance as control factors. The research employed multinomial logistic regression to evaluate the data in the final step. RESULTS: According to the findings, someone who lives in an urban region has 1.493 times higher odds of using outpatient hospital services than someone in a rural area (AOR 1.493; 95% CI 1.489-1.498). Meanwhile, someone who lives in an urban region has 1.075 times higher odds of using an inpatient facility hospital than someone who lives in a rural one (AOR 1.075; 95% CI 1.073-1.077). Furthermore, someone living in an urban region has 1.208 times higher odds than someone who lives in a rural area using outpatient and inpatient hospital services simultaneously (AOR 1.208; 95% CI 1.204-1.212). CONCLUSION: The study concluded there were urban-rural disparities in hospital utilization in Indonesia.

Medical costs and hospital utilization for hemophilia A and B urban inpatients in China: a national cross-sectional study.

BACKGROUND: Hemophilia care in mainland China has been greatly improved since the establishment of the Hemophilia Treatment Center Collaborative Network of China (HTCCNC), and most of drugs for hemophilia have been covered by basic medical insurance schemes. This study assesses whether medical costs and hospital utilization disparities exist between hemophilia A and hemophilia B urban inpatients in China and, second, whether the prescription of coagulation factor concentrates for hemophilia A and hemophilia B inpatients was optimal, from the third payer perspective. METHODS: We conducted a retrospective nationwide analysis based on a 5% random sample from claims data of China Urban Employees' Basic Medical Insurance (UEBMI) and Urban Residents' Basic Medical Insurance (URBMI) schemes from 2010 to 2016. Univariate analysis and multiple regression analysis based on a generalized linear model were conducted. RESULT: A total of 487 urban inpatients who had hemophilia were identified, including 407 inpatients with hemophilia A and 80 inpatients with hemophilia B. Total medical cost for hemophilia B inpatients was significantly higher than for hemophilia A inpatients (USD 2912.81 versus USD 1225.60, P < 0.05), and hemophilia B inpatients had a significantly longer length of hospital stay than hemophilia A inpatients (9.00 versus 7.00, P < 0.05). Total medical costs were mostly allocated to coagulation factor products (76.86-86.68%), with coagulation factor cost of hemophilia B significantly higher than hemophilia A (P < 0.05). Both hemophilia cohorts utilized greatest amount of plasma-derived Factor VIII, followed by recombinant Factor VIII and prothrombin complex concentrates. CONCLUSIONS: Patients with hemophilia B experienced significantly higher inpatient cost, coagulation factor cost and longer length of hospital stay than patients with hemophilia A. Our findings revealed the suboptimal use of coagulation factor concentrate drugs and a higher drug cost burden incurred by hemophilia B than hemophilia A inpatients. Our results call for efforts to strengthen drug regulatory management for hemophilia and to optimize medical insurance schemes according to hemophilia types.

Noncommunicable Diseases and Hospital Utilization in Kuwait: A Generalizable Approach Using the World Health Survey.

BACKGROUND: Kuwait and countries in the Arabian Gulf region face an alarming prevalence of noncommunicable diseases (NCDs) that strain their health systems and threaten their economies. To quantify a key dimension of the burden, we estimated the risk of hospital utilization in Kuwait associated with diagnoses of the most prevalent NCDs, excluding cancer, using a generalizable approach suitable for cross-country disease burden comparisons and assessments of prevention effectiveness. METHODS: The study analyzed responses from a nationally representative sample of 2,165 individuals with self-reported hospital admissions over 12 months and NCD diagnoses from the World Health Survey in Kuwait in 2010. Hospital utilization rates were examined for individuals diagnosed with hypertension, diabetes mellitus, asthma, chronic lung condition, heart disease, and stroke rates and adjusted for demographic and socioeconomic factors. Count regressions were used to estimate the association between individual NCDs while adjusting for other covariates. RESULTS: Using negative binomial regressions, we found that hypertension, the most common NCD in Kuwait, was associated with 75% higher hospital utilization. In addition, heart disease was associated with a 495% increase in hospital utilization rates after adjusting for potential confounders. Many other demographic, socioeconomic, and behavioral characteristics confounded the sizable increase in the risk of hospital admissions associated with NCDs. CONCLUSIONS: We estimated the substantial burden on curative services associated with NCDs in Kuwait through a standardized approach to compare hospital utilization rates associated with various NCDs; this approach is generalizable to more than 70 countries that participated in the World Health Survey.

Inpatient Pediatric CKD Health Care Utilization and Mortality in the United States.

RATIONALE & OBJECTIVE: The impact of chronic kidney disease (CKD) on inpatient health care use is unknown. This study aimed to describe the prevalence of pediatric CKD among children hospitalized in the United States and examine the association of CKD with hospital outcomes. STUDY DESIGN: Cross-sectional national survey of pediatric discharges. SETTING & PARTICIPANTS: Hospital discharges of children (aged>28 days to 19 years) with a chronic medical diagnosis included in the Healthcare Cost and Utilization Project Kids' Inpatient Database for 2006, 2009, 2012, and 2016. PREDICTOR: Presence of primary or coexisting CKD as identified by diagnosis codes. OUTCOMES: Length of stay (LOS), cost, and mortality. ANALYTICAL APPROACH: Multivariable analysis using Poisson, gamma, and logistic regressions were performed for LOS, cost, and mortality, respectively. RESULTS: A chronic medical condition was present in 6,524,745 estimated discharges during the study period and CKD was present among 3.9% of discharges (96.1% without CKD). Those with CKD had a longer LOS (median of 2.8 [IQR, 1.4-6.0] days compared with 1.8 [IQR, 1.0-4.4] days for those without a CKD diagnosis; P<0.001). Median cost was higher in the CKD group compared with the group without CKD, at $8,755 (IQR, $4,563-18,345) and $5,016 (IQR, $2,860-10,109) per hospitalization, respectively (P<0.001). Presence of CKD was associated with a longer LOS (29.9% [95% CI, 27.2%-32.6%] longer than those without CKD), higher cost (61.3% [95% CI, 57.4%-65.4%] greater than those without CKD), and higher risk for mortality (OR, 1.51 [95% CI, 1.40-1.63]). LIMITATIONS: Lack of access to and adjustment for confounders including patient readmission and laboratory data. CONCLUSIONS: Pediatric CKD was associated with longer LOS, higher costs, and higher risk for mortality compared with hospitalizations with other chronic illnesses. Further studies are needed to better understand the health care needs and delivery of care to hospitalized children with CKD.

Risk factors and incidence of 90-day readmission for diverticulitis after an acute diverticulitis index admission.

OBJECTIVES: Acute diverticulitis is the third most frequent cause of gastrointestinal admission in the USA. We sought to determine the incidence of recurrence within a 90-day period and determine its impact on mortality and hospital utilization. METHODS: Nationwide Readmission Database (NRD) 2016 was used to identify patients ≥ 18 years old with a principal diagnosis of acute diverticulitis who were readmitted for recurrence within 90 days. The primary outcome was 90-day readmission rate for acute diverticulitis, and predictors were analyzed using a multivariate regression analysis. Secondary outcomes were mortality and hospital resource utilization. RESULTS: A total of 171,238 admissions were included which met inclusion criteria. Ninety-day readmission for acute diverticulitis after index diverticulitis hospitalization was 8.9%. Readmissions were associated with in-hospital additional total cost of $444,726,560 and 65,685 total hospital days and mortality rate of 4.69% compared with mortality rate of 5.20% on index hospitalization (p < 0.01). In multivariable analysis, increased odds of readmission were associated with disposition against medical advice (OR 1.75, 95% CI 1.31-2.33), younger age (OR 0.98, 95% CI 0.98-0.99), and shorter length of stay (OR 0.99, CI 0.98-0.99). CONCLUSIONS: Acute diverticulitis is frequently associated with recurrence within 90 days and bears a substantial financial and mortality burden. Targeted interventions are needed to minimize readmissions in identified subpopulations.

Cannabis use may reduce healthcare utilization and improve hospital outcomes in patients with cirrhosis.

INTRODUCTION AND OBJECTIVES: Previous studies reveal conflicting data on the effect of cannabis use in patients with cirrhosis. This research evaluates the impact of cannabis on hepatic decompensation, health care utilization, and mortality in patients with cirrhosis. MATERIAL AND METHODS: A retrospective analysis of the State Inpatient Database (SID) was performed evaluating patients from Colorado and Washington in 2011 to represent pre-cannabis legalization and 2015 to represent post-cannabis legalization. Multivariable analysis was performed to study the impact of cannabis on the rate of admissions with hepatic decompensations, healthcare utilization, and mortality in patients with cirrhosis. RESULTS: Cannabis use was detected in 370 (2.1%) of 17,520 cirrhotics admitted in 2011 and in 1162 (5.3%) of 21,917 cirrhotics in 2015 (p-value <0.001). On multivariable analysis, cirrhotics utilizing cannabis after its legalization experienced a decreased rate of admissions related to hepatorenal syndrome (Odds Ratio (OR): 0.51; 95% Confidence Interval (CI): 0.34-0.78) and ascites (OR: 0.73; 95% CI: 0.63-0.84). Cirrhotics with an etiology of disease other than alcohol and hepatitis C had a higher risk of admission for hepatic encephalopathy if they utilized cannabis [OR: 1.57; 95% CI: 1.16-2.13]. Decreased length of stay (-1.15 days; 95% CI: -1.62, -0.68), total charges (-$15,852; 95% CI: -$21,009, -$10,694), and inpatient mortality (OR: 0.68; 95% CI: 0.51-0.91) were also observed in cirrhotics utilizing cannabis after legalization compared to cirrhotics not utilizing cannabis or utilizing cannabis prior to legalization. CONCLUSION: Cannabis use in patients with cirrhosis resulted in mixed outcomes regarding hospital admissions with hepatic decompensation. A trend towards decreased hospital utilization and mortality was noted in cannabis users after legalization. These observations need to be confirmed with a longitudinal randomized study.

Feasibility, acceptability, concerns, and challenges of implementing supervised injection services at a specialty HIV hospital in Toronto, Canada: perspectives of people living with HIV.

BACKGROUND: Substance use significantly impacts health and healthcare of people living with HIV/AIDS (PLHIV), especially their ability to remain in hospital following admission. Supervised injection services (SIS) reduce overdoses and drug-related harms, but are not often provided within hospitals/outpatient programs. Leading us to question, what are PLHIV's perceptions of hospital-based SIS? METHODS: This mixed-methods study explored feasibility and acceptability of implementing SIS at Casey House, a Toronto-based specialty HIV hospital, from the perspective of its in/outpatient clients. We conducted a survey, examining clients' (n = 92) demand for, and acceptability of, hospital-based SIS. Following this, we hosted two focus groups (n = 14) and one-on-one interviews (n = 8) with clients which explored benefits/drawbacks of in-hospital SIS, wherein participants experienced guided tours of a demonstration SIS space and/or presentations of evidence about impacts of SIS. Data were analysed using descriptive statistics and thematic analysis. RESULTS: Among survey participants, 76.1% (n = 70) identified as cis-male and over half (n = 49;54.4%) had been a hospital client for 2 years or less. Nearly half (48.8%) knew about clients injecting in/near Casey House, while 23.6% witnessed it. Survey participants were more supportive of SIS for inpatients (76.1%) than for outpatients (68.5%); most (74.7%) reported SIS implementation would not impact their level of service use at Casey House, while some predicted coming more often (16.1%) and others less often (9.2%). Most focus group/interview participants, believed SIS would enhance safety by reducing health harms (e.g. overdose), increasing transparency between clients and clinicians about substance use, and helping retain clients in care. Debate arose about who (e.g., in/outpatients vs. non-clients) should have access to hospital-based SIS and how implementation may shift organizational priorities/resources away from services not specific to drug use. CONCLUSIONS: Our data showed widespread support of, and need for, hospital-based SIS among client stakeholders; however, attempts to reduce negative impacts on non-drug using clients need to be considered in the balance of implementation plans. Given the increased risks of morbidity and mortality for PLHIV who inject drugs as well as the problems in retaining them in care in a hospital setting, SIS is a key component of improving care for this marginalized group.

Difference in Hospital Utilization Within the First 12 Months Among Low-Birth-Weight Infants in Medicaid Managed Care Versus Fee-for-Service: A Regression Discontinuity Study.

OBJECTIVE: To examine the effect of Medicaid managed care (MMC) versus Medicaid fee-for-service (FFS) on emergency department (ED) use and hospitalization during the first 6 and 12 months of life among low-birth-weight (LBW) infants. METHODS: We used the New York City Office of Vital Statistics-Statewide Planning and Research Cooperative System (OVS-SPARCS) dataset to identify 9135 LBW infants born to female Medicaid beneficiaries in New York City from January 2008-March 2012. We applied a robust regression discontinuity framework using a New York State Medicaid policy in effect at that time. This policy automatically enrolled infants born to female Medicaid beneficiaries to Medicaid managed care (MMC) or Medicaid fee-for-service (FFS) based on their birth weight (less than 1200 g vs. 1200-2500 g) during the first 6 months of their lives. RESULTS: LBW infants in MMC had an average 0.16% points higher probability of being hospitalized within the first year of their lives than those in Medicaid FFS (p-value = 0.04). CONCLUSIONS FOR PRACTICE: More research is necessary to understand possible differences in healthcare utilization between MMC and FFS participants with high health risks.

Educational Inequalities in Hospital Use Among Older Adults in England, 2004-2015.

Policy Points US policymakers considering proposals to expand public health care (such as "Medicare for all") as a means of reducing inequalities in health care access and use could learn from the experiences of nations where well-funded universal health care systems are already in place. In England, which has a publicly funded universal health care system, the use of core inpatient services by adults 65 years and older is equal across groups defined by education level, after controlling for health status. However, variation among these groups in the use of outpatient and emergency department care developed between 2010 and 2015, a period of relative financial austerity. Based on England's experience, introducing universal health care in the United States seems likely to reduce, but not entirely eliminate, inequalities in health care use across different population groups. CONTEXT: Expanding access to health care is once again high on the US political agenda, as is concern about those who are being "left behind." But is universal health care that is largely free at the point of use sufficient to eliminate inequalities in health care use? To explore this question, we studied variation in the use of hospital care among education-level-defined groups of older adults in England, before and after controlling for differences in health status. In England, the National Health Service (NHS) provides health care free to all, but the growth rate for NHS funding has slowed markedly since 2010 during a widespread austerity program, potentially increasing inequalities in access and use. METHODS: Novel linkage of data from six waves (2004-2015) of the English Longitudinal Study of Ageing (ELSA) with participants' hospital records (Hospital Episode Statistics [HES]) produced longitudinal data for 7,713 older adults (65 years and older) and 25,864 observations. We divided the sample into three groups by education level: low (no formal qualifications), mid (completed compulsory education), and high (at least some higher education). Four outcomes were examined: annual outpatient appointments, elective inpatient admissions, emergency inpatient admissions, and emergency department (ED) visits. We estimated regressions for the periods 2004-2005 to 2008-2009 and 2010-2011 to 2014-2015 to examine whether potential education-related inequalities in hospital use increased after the growth rate for NHS funding slowed in 2010. FINDINGS: For the study period, our sample of ELSA respondents in the low-education group made 2.44 annual outpatient visits. In comparison, after controlling for health status, we found that participants in the high-education group made an additional 0.29 outpatient visits annually (95% confidence interval [CI], 0.11-0.47). Additional outpatient health care use in the high-education group was driven by follow-up and routine appointments. This inequality widened after 2010. Between 2010 and 2015, individuals in the high-education group made 0.48 (95% CI, 0.21-0.74) more annual outpatient visits than those in the low-education (16.9% [7.5% to 26.2%] of annual average 2.82 visits). In contrast, after 2010, the high-education group made 0.04 (95% CI, -0.075 to 0.001) fewer annual ED visits than the low-education group, which had a mean of 0.30 annual ED visits. No significant differences by education level were found for elective or emergency inpatient admissions in either period. CONCLUSIONS: After controlling for demographics and health status, there was no evidence of inequality in elective and emergency inpatient admissions among the education groups in our sample. However, a period of financial budget tightening for the NHS after 2010 was associated with the emergence of education gradients in other forms of hospital care, with respondents in the high-education group using more outpatient care and less ED care than peers in the low-education group. These estimates point to rising inequalities in the use of hospital care that, if not reversed, could exacerbate existing health inequalities in England. Although the US and UK settings differ in many ways, our results also suggest that a universal health care system would likely reduce inequality in US health care use.

Hospital Utilization and Costs in Older Patients with Advanced Chronic Kidney Disease Choosing Conservative Care or Dialysis: A Retrospective Cohort Study.

BACKGROUND: Nondialytic conservative care has been recognized as a viable alternative to chronic dialysis in older patients with end-stage kidney disease, but little is known about its consequences on hospital utilization and costs. METHODS: We performed a retrospective cohort study to compare outpatient and inpatient hospital utilization, place of death, and hospital costs in patients aged ≥70 years old who chose conservative care (n = 100) or dialysis (n = 162) after shared decision making in a nonacademic teaching hospital between 2008 and 2016. RESULTS: Patients who chose conservative care were older than patients who chose dialysis (82.5 vs. 76.3 years). Comorbidity did not differ between the 2 patient groups. The incidence rates of outpatient visits per year were 7.1 in patients who chose conservative care and 10.7 in patients who chose dialysis (incidence rate ratio 0.67, 95% CI 0.55-0.81). The incidence rates of in-hospital days per year were, respectively, 6.0 and 9.8 (incidence rate ratio 0.50, 95% CI 0.29-0.88). Also in the final month of life, patients on conservative care had less outpatient visits, were less frequently hospitalized, and died less frequently in hospital than the dialysis patient group. The cost rates per year, measured from original treatment decision, were EUR 5,859 in conservative care patients and EUR 28,354 in patients who chose dialysis comprising both the predialysis and dialysis period (cost rate ratio 0.42, 95% CI 0.27-0.65). Patients who chose dialysis had higher costs on dialysis sessions, outpatient care, inpatient care, laboratory tests, and medical imaging. CONCLUSIONS: Patients who decided to forego dialysis and chose conservative care had less outpatient and inpatient hospital utilization than patients who chose dialysis, including less intensive hospital utilization near the end of life. Both overall and nondialysis-related costs were lower in patients on a conservative care pathway.

Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?

BACKGROUND: Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8-30 days). We assessed how well a previously validated 30-day EHR-based readmission prediction model predicts 7-day readmissions and compared differences in strength of predictors. METHODS: We conducted an observational study on adult hospitalizations from 6 diverse hospitals in North Texas using a 50-50 split-sample derivation and validation approach. We re-derived model coefficients for the same predictors as in the original 30-day model to optimize prediction of 7-day readmissions. We then compared the discrimination and calibration of the 7-day model to the 30-day model to assess model performance. To examine the changes in the point estimates between the two models, we evaluated the percent changes in coefficients. RESULTS: Of 32,922 index hospitalizations among unique patients, 4.4% had a 7-day admission and 12.7% had a 30-day readmission. Our original 30-day model had modestly lower discrimination for predicting 7-day vs. any 30-day readmission (C-statistic of 0.66 vs. 0.69, p ≤ 0.001). Our re-derived 7-day model had similar discrimination (C-statistic of 0.66, p = 0.38), but improved calibration. For the re-derived 7-day model, discharge day factors were more predictive of early readmissions, while baseline characteristics were less predictive. CONCLUSION: A previously validated 30-day readmission model can also be used as a stopgap to predict 7-day readmissions as model performance did not substantially change. However, strength of predictors differed between the 7-day and 30-day model; characteristics at discharge were more predictive of 7-day readmissions, while baseline characteristics were less predictive. Improvements in predicting early 7-day readmissions will likely require new risk factors proximal to day of discharge.

Impact of time to antibiotic on hospital stay, intensive care unit admission, and mortality in febrile neutropenia.

PURPOSE: To determine if time to antibiotics (TTA) improves outcomes of hospital length of stay, admission to the intensive care unit, and 30-day mortality in adult patients with febrile neutropenia. METHODS: This retrospective cohort study evaluated the impact of time to antibiotic, in the treatment of febrile neutropenia, on hospital length of stay, admission to the intensive care unit, and 30-day mortality. Cases included were patients 18 years or older hospitalized with febrile neutropenia from August 1, 2006 to July 31, 2016. To adjust for other characteristics associated with hospital length of stay, admission to the intensive care unit, and 30-day mortality, a multivariate analysis was performed. RESULTS: A total of 3219 cases of febrile neutropenia were included. The median hospital length of stay was 7.0 days (IQR 4.1-13.3), rate of intensive care unit admission was 13.6%, and 30-day mortality was 6.6%. Multivariate analysis demonstrated time to antibiotics was not associated with hospital length of stay but was associated with admission to the intensive care unit admission and 30-day mortality. Delays in time to antibiotic of up to 3 hours did not impact outcomes. CONCLUSIONS: A shorter time to antibiotic is important in treatment of febrile neutropenia; however, moderate delays in antibiotic administration did not impact outcomes. Further investigation is needed in order to determine if other indicators of infection, in addition to fever, or other supportive management, in addition to antibiotics, are indicated in the early identification and management of infection in patients with neutropenia.

Healthcare spending in the State of Louisiana.

BACKGROUND: The State of Louisiana spends the most on Medicare beneficiaries per capita, but reports greater disparities in health status and death rates than other states. This project sought to investigate the associations between healthcare intensity, healthcare spending, and mortality in Louisiana. METHODS: We used a 100% sample of 2014 Medicare claims data with beneficiaries assigned to hospital referral regions in Louisiana using small area analysis. We used simple and multivariable linear regression modelling to evaluate associations between healthcare intensity, healthcare spending rates, and mortality rates. We adjusted for age, sex, race, and population health risk factors. RESULTS: We found no statistically significant associations between our measured variables when adjusted for age, sex, and race. These results were consistent after further adjusting mortality for population health risk factors. CONCLUSIONS: To our knowledge, no prior studies have investigated the associations between healthcare intensity, healthcare spending, and mortality in Louisiana. Our findings suggest that increased healthcare spending in Louisiana may not improve survival. Identifying more granular aspects of healthcare contributing to spending patterns in Louisiana may provide targets for future quality improvement work.

Association of daily copayments with use of hospital care among medicare advantage enrollees.

BACKGROUND: While the traditional Medicare program imposes a deductible for hospital admissions, many Medicare Advantage plans have instituted per-diem copayments for hospital care. Little evidence exists about the effects of changes in cost-sharing for hospital care among the elderly. Changing inpatient benefits from a deductible to a per diem may benefit enrollees with shorter lengths of stay, but adversely affect the out-of-pocket burden for hospitalized enrollees with longer lengths of stay. METHODS: We used a quasi-experimental difference-in-differences study to compare longitudinal changes in proportion hospitalized, inpatient admissions and days per 100 enrollees, and hospital length of stay between enrollees in MA plans that changed inpatient benefit from deductible at admission to per diem, intervention plans, and enrollees in matched control plans - similar plans that maintained inpatient deductibles. The study population included 423,634 unique beneficiaries enrolled in 23 intervention plans and 36 matched control plans in the 2007-2010 period. RESULTS: The imposition of per-diem copayments were associated with adjusted declines of 1.3 admissions/100 enrollees (95% CI - 1.8 to - 0.9), 6.9 inpatient days/100 enrollees (95% CI - 10.1 to - 3.8) and 0.7 percentage points in the probability of hospital admission (95% CI - 1.0 to - 0.4), with no significant change in adjusted length of stay in intervention plans relative to control plans. For persons with 2 or more hospitalizations in the year prior to the cost-sharing change, adjusted declines were 3.5 admissions/100 (95% CI - 8.4 to 1.4), 31.1 days/100 (95% CI - 75.2 to 13.0) and 2.2 percentage points in the probability of hospitalization (95% CI - 3.8 to - 0.6) in intervention plans relative to control plans. CONCLUSIONS: Instituting per-diem copayments was associated with reductions in number of admissions and hospital stays, but not length of stay once admitted. Effects of inpatient cost-sharing changes were magnified for persons with greater baseline use of hospital care.