Dataset Information

Factors associated with high-utilization in a safety net setting.

ABSTRACT:

Background

Patients with frequent hospital readmissions, or high-utilizer patients (HUPs), are a major driver of rising healthcare costs in the United States. This group has a significant burden of medical illness, but less is known about whether or how social determinants of health may drive their increased healthcare use and poor health outcomes. Our study aimed to define the population of HUPs at a large, safety-net hospital system, to understand how these patients differ from patients who are not HUPs, and to analyze how their demographic, medical, and social factors contribute to their healthcare use and mortality rates.

Methods

For this case-control study, data were collected via retrospective chart review. We included 247 patients admitted three or more times in a single calendar year between 2011 and 2013 and 247 controls with one or two admissions in a single calendar year matched for age, sex, and year of high-utilization. We used multivariable logistic regression models to understand which demographic, clinical, and social factors were associated with HUP status, and if HUP status was independently associated with mortality.

Results

The factors that contributed significant odds of being a HUP included having Medicaid (OR 3.34, 95% CI 1.50, 7.44) or Medicare (OR 3.39, 95% CI 1.50, 7.67), having a history of recreational drug use (OR 2.44, 95% 1.36, 4.38), and being homeless (OR 3.73, 95% CI 1.69, 8.23) The mortality rate among HUPs was 22.6% compared to 8.9% among controls (p?ConclusionsThese data show that social factors are related to high-utilization in this population. Future efforts to understand and improve the health of this population need to incorporate non-clinical patient factors.

SUBMITTER: Bell J

PROVIDER: S-EPMC5391601 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors associated with high-utilization in a safety net setting.

Bell Julia J Turbow Sara S George Maura M Ali Mohammed K MK

BMC health services research 20170414 1

<h4>Background</h4>Patients with frequent hospital readmissions, or high-utilizer patients (HUPs), are a major driver of rising healthcare costs in the United States. This group has a significant burden of medical illness, but less is known about whether or how social determinants of health may drive their increased healthcare use and poor health outcomes. Our study aimed to define the population of HUPs at a large, safety-net hospital system, to understand how these patients differ from patient ...[more]

PMID: 28410614

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Project description:BACKGROUND:Given system-level focus on avoidance of unnecessary hospitalizations, better understanding admission decision-making is of utility. Our study sought to identify factors associated with hospital admission versus discharge from the Emergency Department (ED) for a population of patients who were assessed as having low medical acuity at time of decision. METHODS:Using an institutional database, we identified ED admission requests received from March 1, 2018 to Feb 28, 2019 that were assessed by a physician at the time of request as potentially inappropriate based on lack of medical acuity. Focused chart review was performed to extract data related to patient demographics, socioeconomic information, measures of illness, and system-level factors such as previous healthcare utilization and day/time of presentation. A binary logistic regression model was constructed to correlate patient and system factors with disposition outcome of admission to the hospital versus discharge from the ED. Physician-reported contributors to admission decision-making and chief complaint/reason for admission were summarized. RESULTS:A total of 349 (77.2%) of 452 calls resulted in admission to the hospital and 103 (22.8%) resulted in discharge from the ED. Predictors of admission included age over 65 (OR 3.5 [95%CI 1.1-11.6], p?=?0.039), homelessness (OR 3.3 [95% CI 1.7-6.4], p=0.001), and night/weekend presentation (OR 2.0 [95%CI 1.1-3.5], p?=?0.020). The most common contributing factors to the decision to admit reported by the responding physician included: lack of outpatient social support (35.8% of admissions), homelessness (33.0% of admissions), and substance use disorder (23.5% of admissions). CONCLUSIONS:Physician medical decision-making regarding the need for hospitalization incorporates consideration of individual patient characteristics, social setting, and system-level barriers. Interventions aimed at reducing unnecessary hospitalizations, especially those involving patients with low medical acuity, should focus on underlying unmet needs and involve a broad set of perspectives.

Project description:ImportanceA high proportion of underserved patients with cirrhosis receive care at safety-net hospitals (SNHs). While liver transplant (LT) can be a life-saving treatment for cirrhosis, data on referral patterns from SNHs to LT centers are lacking.ObjectiveTo identify factors associated with LT referral within the SNH context.Design, setting, and participantsThis retrospective cohort study included 521 adult patients with cirrhosis and model for end-stage liver disease-sodium (MELD-Na) scores of 15 or greater. Participants received outpatient hepatology care at 3 SNHs between January 1, 2016, and December 31, 2017, with end of follow-up on May 1, 2022.ExposuresPatient demographic characteristics, socioeconomic status, and liver disease factors.Main outcomes and measuresPrimary outcome was referral for LT. Descriptive statistics were used to describe patient characteristics. Multivariable logistic regression was performed to evaluate factors associated with LT referral. Multiple chained imputation was used to address missing values.ResultsOf 521 patients, 365 (70.1%) were men, the median age was 60 (IQR, 52-66) years, most (311 [59.7%]) were Hispanic or Latinx, 338 (64.9%) had Medicaid insurance, and 427 (82.0%) had a history of alcohol use (127 [24.4%] current vs 300 [57.6%] prior). The most common liver disease etiology was alcohol associated liver disease (280 [53.7%]), followed by hepatitis C virus infection (141 [27.1%]). Median MELD-Na score was 19 (IQR, 16-22). One hundred forty-five patients (27.8%) were referred for LT. Of these, 51 (35.2%) were wait-listed, and 28 (19.3%) underwent LT. In a multivariable model, male sex (adjusted odds ratio [AOR], 0.50 [95% CI, 0.31-0.81]), Black race vs Hispanic or Latinx ethnicity (AOR, 0.19 [95% CI, 0.04-0.89]), uninsured status (AOR, 0.40 [95% CI, 0.18-0.89]), and hospital site (AOR, 0.40 [95% CI, 0.18-0.87]) were associated with lower odds of being referred. Reasons for not being referred (n = 376) included active alcohol use and/or limited sobriety (123 [32.7%]), insurance issues (80 [21.3%]), lack of social support (15 [4.0%]), undocumented status (7 [1.9%]), and unstable housing (6 [1.6%]).ConclusionsIn this cohort study of SNHs, less than one-third of patients with cirrhosis and MELD-Na scores of 15 or greater were referred for LT. The identified sociodemographic factors negatively associated with LT referral highlight potential intervention targets and opportunities to standardize LT referral practices to increase access to life-saving transplant among underserved patients.

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Project description:BackgroundMusculoskeletal pain conditions incur high costs and produce significant personal and public health consequences, including disability and opioid-related mortality. Persistence of high-cost health care utilization for musculoskeletal pain may help identify system inefficiencies that could limit value of care. The objective of this study was to identify factors associated with persistent high-cost utilization among individuals seeking health care for musculoskeletal pain.MethodsThis was a retrospective cohort study of Medical Expenditure Panel Survey data (2008-2013) that included a non-institutionalized, population-based sample of individuals seeking health care for a musculoskeletal pain condition (n = 12,985). Expenditures associated with musculoskeletal pain conditions over two consecutive years were analyzed from prescribed medicine, office-based medical provider visits, outpatient department visits, emergency room visits, inpatient hospital stays, and home health visits. Persistent high-cost utilization was defined as being in the top 15th percentile for annual musculoskeletal pain-related expenditures over 2 consecutive years. We used multinomial regression to determine which modifiable and non-modifiable sociodemographic, health, and pain-related variables were associated with persistent high-cost utilization.ResultsApproximately 35% of direct costs for musculoskeletal pain were concentrated among the 4% defined as persistent high-cost utilizers. Non-modifiable variables associated with expenditure group classification included age, race, poverty level, geographic region, insurance status, diagnosis type and total number of musculoskeletal pain diagnoses. Modifiable variables associated with increased risk of high expenditure classification were higher number of missed work days, greater pain interference, and higher use of prescription medication for pain, while higher self-reported physical and mental health were associated with lower risk of high expenditure classification.ConclusionsHealth care delivery models that prospectively identify these potentially modifiable factors may improve the costs and value of care for individuals with musculoskeletal pain prone to risk for high-cost care episodes.

Project description:BackgroundSafety-net hospitals care for a high proportion of uninsured/underinsured patients who may lack access to longitudinal care. The present study characterized the use of mechanical valves and clinical outcomes of surgical aortic valve replacement at safety net hospitals.MethodsAll adults undergoing surgical aortic valve replacement were abstracted from the 2016-2018 Nationwide Readmissions Database. Hospitals were divided into quartiles based on volume of all Medicaid and uninsured admissions, with the highest quartile defined as safety net hospitals. Multivariable regression was used to determine the association between safety net hospitals and several outcomes including mechanical valve use, perioperative complications, index hospitalization costs, 90-day readmission, and complications at readmission.ResultsOf the 94,580 patients undergoing surgical aortic valve replacement, 14.5% of operations were at safety net hospitals. Patients at safety net hospitals more commonly received mechanical valves (20.3% vs 16.9%, P < .01) compared to those at non-safety net hospitals. After adjustment, safety net hospitals remained associated with a greater odds of mechanical aortic valve use (adjusted odds ratio, 1.13, 95% confidence interval 1.05-1.21). However, operation at safety net hospitals was also associated with increased odds of perioperative complications (adjusted odds ratio 1.10, 95% confidence interval 1.03-1.17) and higher hospitalization costs (β coefficient +$6.15K, 95% confidence interval +$5.26 - +$7.03) despite similar 90-day readmissions. Upon readmission, safety net hospitals patients were more likely to experience mortality (adjusted odds ratio 1.87, 95% confidence interval 1.18-2.98) and stroke (adjusted odds ratio 2.41, 95% confidence interval 1.23-4.70) compared to those at non-safety net hospitals.ConclusionHospital safety net status is associated with increased use of mechanical valves for surgical aortic valve replacement despite also being associated with increased perioperative complications, costs, and significant complications upon readmission. Ability to access adequate follow-up care may be an important consideration for surgical aortic valve replacement at safety net hospitals.

Project description:ImportanceIn the US, federal value-based incentive programs are more likely to penalize safety-net institutions than non-safety-net institutions. Whether these programs differentially change the rates of targeted health care-associated infections in safety-net vs non-safety-net hospitals is unknown.ObjectiveTo assess the association of Hospital-Acquired Condition Reduction Program (HACRP) and Hospital Value-Based Purchasing (HVBP) implementation with changes in rates of targeted health care-associated infections and disparities in rates among safety-net and non-safety-net hospitals.Design, setting, and participantsThis interrupted time series included all US acute care hospitals enrolled in the Preventing Avoidable Infectious Complications by Adjusting Payment study that participated in mandatory reporting to the National Healthcare Safety Network from January 1, 2013, through June 30, 2018. Hospital characteristics were obtained from the 2015 American Hospital Association annual survey. Penalty statuses for 2015 to 2018 were obtained from Hospital Compare. Data were analyzed between July 9, 2018, and October 1, 2019.ExposuresHACRP and HVBP implementation in fiscal year 2015 or 2016.Main outcomes and measuresThe primary outcomes were rates of 4 health care-associated infections: central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), surgical site infection (SSI) after colon surgical procedures, and SSI after abdominal hysterectomy procedures. Regression models were fit using generalized estimating equations to assess the association of HACRP and HVBP implementation with health care-associated infection rates and disparities in infection rates.ResultsOf the 618 acute care hospitals included in this study, 473 (76.5%) were non-safety net and 145 (23.5%) were considered safety net. In these hospitals, HACRP and HVBP implementation was not associated with improvements in level or trend for any health care-associated infection examined (eg, CAUTI in safety-net hospitals: incidence rate ratio [IRR] for level change, 0.98 [95% CI, 0.79-1.23; P = .89]; IRR for change in slope, 1.00 [95% CI, 0.97-1.03; P = .80]). Before program implementation, infection rates were statistically significantly higher for safety-net than for non-safety-net hospitals for CLABSI (IRR, 1.23; 95% CI, 1.07-1.42; P = .004), CAUTI (IRR, 1.38; 95% CI, 1.16-1.64; P < .001), and SSI after colon surgical procedure (odds ratio [OR], 1.26; 95% CI, 1.06-1.50; P = .009). The disparity persisted over time when comparing the last year of the study with the first year (CLABSI: ratio of ratios [ROR], 0.93 [95% CI, 0.77-1.13; P = .48]; CAUTI: ROR, 0.90 [95% CI, 0.73-1.10; P = .31]; SSI after colon surgical procedures: ROR, 0.96 [95% CI, 0.78-1.20; P = .75]). Rates of SSI after abdominal hysterectomy procedure were similar in safety-net and non-safety-net hospitals before implementation (OR, 1.13; 95% CI, 0.91-1.40; P = .27) but higher after implementation (OR, 1.43; 95% CI, 1.11-1.83; P = .006), although this change was not significant (ROR, 1.20; 95% CI, 0.91-1.59; P = .20).Conclusions and relevanceThis study found that HACRP and HVBP implementation was not associated with any improvements in targeted health care-associated infections among safety-net or non-safety-net hospitals or with changes in disparities in infection rates. Given the persistent health care-associated infection rate disparities, these programs appear to function as a disproportionate penalty system for safety-net hospitals that offer no measurable benefits for patients.

Dataset Information

Factors associated with high-utilization in a safety net setting.

Background

Methods

Results

Publications

Factors associated with high-utilization in a safety net setting.

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