The effects of safety net hospital closures and conversions on patient travel distance to hospital services.
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ABSTRACT:
SUBMITTER: Bazzoli GJ
PROVIDER: S-EPMC3272769 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature
Publications
The effects of safety net hospital closures and conversions on patient travel distance to hospital services.
Bazzoli Gloria J GJ Lee Woolton W Hsieh Hui-Min HM Mobley Lee Rivers LR
Health services research 20110923 1 Pt 1
<h4>Objective</h4>To examine the effects of safety net hospital (SNH) closure and for-profit conversion on uninsured, Medicaid, and racial/ethnic minorities. DATA SOURCES/EXTRACTION METHODS: Hospital discharge data for selected states merged with other sources.<h4>Study design</h4>We examined travel distance for patients treated in urban hospitals for five diagnosis categories: ambulatory care sensitive conditions, referral sensitive conditions, marker conditions, births, and mental health and s ...[more]
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Project description:ObjectivesTo systematically review (1) The effect of obstetric unit (OU) closures on maternal and neonatal outcomes and (2) The association between travel distance/time to an OU and maternal and neonatal outcomes.DesignSystematic review of any quantitative studies with a comparison group.Data sourcesEmbase, MEDLINE, PsycINFO, Applied Social Science Index and Abstracts, Cumulative Index to Nursing and Allied Health and grey literature were searched.MethodsEligible studies explored the impact of closure of an OU or the effect of travel distance/time on prespecified maternal or neonatal outcomes. Only studies of women giving birth in high-income countries with universal health coverage of maternity services comparable to the UK were included. Identification of studies, extraction of data and risk of bias assessment were undertaken by at least two reviewers independently. The risk of bias checklist was based on the Cochrane Effective Practice and Organisation of Care criteria and the Newcastle-Ottawa scale. Heterogeneity across studies precluded meta-analysis and synthesis was narrative, with key findings tabulated.Results31 studies met the inclusion criteria. There was some evidence to suggest an increase in babies born before arrival following OU closures and/or associated with longer travel distances or time. This may be associated with an increased risk of perinatal or neonatal mortality, but this finding was not consistent across studies. Evidence on other maternal and neonatal outcomes was limited but did not suggest worse outcomes after closures or with longer travel times/distances. Interpretation of findings for some studies was hampered by concerns around how accurately exposures were measured, and/or a lack of adjustment for confounders or temporal changes.ConclusionIt is not possible to conclude from this review whether OU closure, increased travel distances or times are associated with worse outcomes for the mother or the baby.Prospero registration numberCRD42017078503.
| S-EPMC7735086 | biostudies-literature
Project description:Massachusetts' health care reform substantially decreased the percentage of uninsured residents. However, less is known about how reform affected access to care, especially according to insurance type.To assess access to care in Massachusetts after implementation of health care reform, based on insurance status and type.We surveyed a convenience sample of 431 patients presenting to the Emergency Department of Massachusetts' second largest safety net hospital between July 25, 2009 and March 20, 2010.Demographic and clinical characteristics, insurance coverage, measures of access to care and cost-related barriers to care.Patients with Commonwealth Care and Medicaid, the two forms of insurance most often newly-acquired under the reform, reported similar or higher utilization of and access to outpatient visits and rates of having a usual source of care, compared with the privately insured. Compared with the privately insured, a significantly higher proportion of patients with Medicaid or Commonwealth Care Type 1 (minimal cost sharing) reported delaying or not getting dental care (42.2 % vs. 27.1 %) or medication (30.0 % vs. 7.0 %) due to cost; those with Medicaid also experienced cost-related barriers to seeing a specialist (14.6 % vs. 3.5 %) or getting recommended tests (15.6 % vs. 5.9 %). Those with Commonwealth Care Types 2 and 3 (greater cost sharing) reported significantly more cost-related barriers to obtaining care than the privately insured (45.0 % vs. 16.0 %), to seeing a primary care doctor (25.0 % vs. 6.0 %) or dental provider (58.3 % vs. 27.1 %), and to obtaining medication (20.8 % vs. 7.0 %). No differences in cost-related barriers to preventive care were found between the privately and publicly insured.Access to care improved less than access to insurance following Massachusetts' health care reform. Many newly insured residents obtained Medicaid or state subsidized private insurance; cost-related barriers to access were worse for these patients than for the privately insured.
| S-EPMC3475814 | biostudies-other
Project description:ImportanceNational patterns of low-value and high-value care delivered to patients without insurance or with Medicaid could inform public policy but have not been previously examined.ObjectiveTo measure rates of low-value care and high-value care received by patients without insurance or with Medicaid, compared with privately insured patients, and provided by safety-net physicians vs non-safety-net physicians.Design, setting, and participantsThis multiyear cross-sectional observational study included all patients ages 18 to 64 years from the National Ambulatory Medical Care Survey (2005-2013) and the National Hospital Ambulatory Medical Care Survey (2005-2011) eligible for any of the 21 previously defined low-value or high-value care measures. All measures were analyzed with multivariable logistic regression and adjusted for patient and physician characteristics.ExposuresComparison of patients by insurance status (uninsured/Medicaid vs privately insured) and safety-net physicians (seeing >25% uninsured/Medicaid patients) vs non-safety-net physicians (seeing 1%-10%).Main outcomes and measuresDelivery of 9 low-value or 12 high-value care measures, based on previous research definitions, and composite measures for any high-value or low-value care delivery during an office visit.ResultsOverall, 193?062 office visits were eligible for at least 1 measure. Mean (95% CI) age for privately insured patients (n?=?94?707) was 44.7 (44.5-44.9) years; patients on Medicaid (n?=?45?123), 39.8 (39.3-40.3) years; and uninsured patients (n?=?19?530), 41.9 (41.5-42.4) years. Overall, low-value and high-value care was delivered in 19.4% (95% CI, 18.5%-20.2%) and 33.4% (95% CI, 32.4%-34.3%) of eligible encounters, respectively. Rates of low-value and high-value care delivery were similar across insurance types for the majority of services examined. Among Medicaid patients, adjusted rates of use were no different for 6 of 9 low-value and 9 of 12 high-value services compared with privately insured beneficiaries, whereas among the uninsured, rates were no different for 7 of 9 low-value and 9 of 12 high-value services. Safety-net physicians provided similar care compared with non-safety-net physicians, with no difference for 8 out of 9 low-value and for all 12 high-value services.Conclusions and relevanceOveruse of low-value care is common among patients without insurance or with Medicaid. Rates of low-value and high-value care were similar among physicians serving vulnerable patients and other physicians. Overuse of low-value care is a potentially important focus for state Medicaid programs and safety-net institutions to pursue cost savings and improved quality of health care delivery.
| S-EPMC5540058 | biostudies-literature
Project description:OBJECTIVE: To determine whether safety net and non-safety net hospitals influence inpatient breast cancer care in insured and uninsured women and in white and African American women. DATA SOURCES: Six years of Virginia Cancer Registry and Virginia Health Information discharge data were linked and supplemented with American Hospital Association data. STUDY DESIGN: Hierarchical generalized linear models and linear probability regression models were used to estimate the relationship between hospital safety net status, the explanatory variables, and the days from diagnosis to mastectomy and the likelihood of breast reconstruction. PRINCIPAL FINDINGS: The time between diagnosis and surgery was longer in safety net hospitals for all patients, regardless of insurance source. Medicaid insured and uninsured women were approximately 20 percent less likely to receive reconstruction than privately insured women. African American women were less likely to receive reconstruction than white women. CONCLUSIONS: Following the implementation of health reform, disparities may potentially worsen if safety net hospitals' burden of care increases without commensurate increases in reimbursement and staffing levels. This study also suggests that Medicaid expansions may not improve outcomes in inpatient breast cancer care within the safety net system.
| S-EPMC3419883 | biostudies-literature
Project description:ObjectiveTo summarize research relating to health services research translation in the safety net through analysis of the literature and case study of a safety net system.Data sources/study settingLiterature review and key informant interviews at an integrated safety net hospital.Study designThis paper describes the results of a comprehensive literature review of translational science literature as applied to health care paired with qualitative analysis of five key informant interviews conducted with senior-level management at Denver Health and Hospital Authority.Principal findingsResults from the literature suggest that implementing innovation may be more difficult in the safety net due to multiple factors, including financial and organizational constraints. Results from key informant interviews confirmed the reality of financial barriers to innovation implementation but also implied that factors, including institutional respect for data, organizational attitudes, and leadership support, could compensate for disadvantages.ConclusionsTranslating research into practice is of critical importance to safety net providers, which are under increased pressure to improve patient care and satisfaction. Results suggest that translational research done in the safety net can better illuminate the special challenges of this setting; more such research is needed.
| S-EPMC4722217 | biostudies-literature
Project description:There is a broad range of patient travel distances to reach a lung transplant hospital in the United States. Whether patient travel distance is associated with waitlist outcomes is unknown. We present a cohort study of patients listed between January 1, 2006 and May 31, 2017 using the Scientific Registry of Transplant Recipients. Travel distance was measured from the patient's permanent zip code to the transplant hospital using shared access signature URL access to Google Maps, and assessed using multivariable competing risk regression models. There were 22 958 patients who met inclusion criteria. Median travel distance was 69.7 miles. Among patients who traveled > 60 miles, 41.2% bypassed a closer hospital and sought listing at a more distant hospital. In the adjusted models, when compared to patients who traveled ≤60 miles, patients who traveled >360 miles had a 27% lower subhazard ratio (SHR) for waitlist removal (SHR 0.73, 95% confidence interval [CI]: 0.60, 0.89, P = .002), 16% lower subhazard for waitlist death (SHR 0.84; 95% CI 0.73-0.95, P = .07), and 13% increased likelihood for transplant (SHR 1.13, 95% CI: 1.07, 1.20, P < .001). Many patients bypassed the nearest transplant hospital, and longer patient travel distance was associated with favorable waitlist outcomes.
| S-EPMC7775271 | biostudies-literature
Project description:ImportanceNo consensus exists on how to define safety-net hospitals (SNHs) for research or policy decision-making. Identifying which types of hospitals are classified as SNHs under different definitions is key to assessing policies that affect SNH funding.ObjectiveTo examine characteristics of SNHs as classified under 3 common definitions.Design, setting, and participantsThis cross-sectional analysis includes noncritical-access hospitals in the Healthcare Cost and Utilization Project State Inpatient Databases from 47 US states for fiscal year 2015, linked to the Centers for Medicare & Medicaid Services Hospital Cost Reports and to the American Hospital Association Annual Survey. Data were analyzed from March 1 through September 30, 2018.ExposuresHospital characteristics including organizational characteristics, scope of services provided, and financial attributes.Main outcomes and measuresDefinitions of SNH based on Medicaid and Medicare Supplemental Security Income inpatient days historically used to determine Medicare Disproportionate Share Hospital (DSH) payments; Medicaid and uninsured caseload; and uncompensated care costs. For each measure, SNHs were defined as those within the top quartile for each state.ResultsThe 2066 hospitals in this study were distributed across the Northeast (340 [16.5%]), Midwest (587 [28.4%]), South (790 [38.2%]), and West (349 [16.9%]). Concordance between definitions was low; 269 hospitals (13.0%) or fewer were identified as SNHs under any 2 definitions. Uncompensated care captured smaller (200 of 523 [38.2%]) and more rural (65 of 523 [12.4%]) SNHs, whereas DSH index and Medicaid and uncompensated caseload identified SNHs that were larger (264 of 518 [51.0%] and 158 of 487 [32.4%], respectively) and teaching facilities (337 of 518 [65.1%] and 229 of 487 [47.0%], respectively) that provided more essential services than non-SNHs. Uncompensated care also distinguished remarkable financial differences between SNHs and non-SNHs. Under the uncompensated care definition, median (interquartile range [IQR]) bad debt ($27.1 [$15.5-$44.3] vs $12.8 [$6.7-$21.6] per $1000 of operating expenses; P < .001) and charity care ($19.9 [$9.3-$34.1] vs $9.1 [$4.0-$18.7] per $1000 of operating expenses) were twice as high and median (IQR) unreimbursed costs ($32.6 [$12.4-$55.4] vs $23.6 [$9.0-$42.7] per $1000 of operating expenses; P < .001) were 38% higher for SNHs than for non-SNHs. Safety-net hospitals defined by uncompensated care burden had lower median (IQR) total (4.7% [0%-9.9%] vs 5.8% [1.2%-11.2%]; P = .003) and operating (0.3% [-8.0% to 7.2%] vs 2.3% [-3.9% to 8.9%]; P < .001) margins than their non-SNH counterparts, whereas differences between SNH and non-SNH profit margins generally were not statistically significant under the other 2 definitions.Conclusions and relevanceDifferent SNH definitions identify hospitals with different characteristics and financial conditions. The new DSH formula, which accounts for uncompensated care, may lead to redistributed payments across hospitals. Our results may inform which types of hospitals will experience funding changes as DSH payment policies evolve.
| S-EPMC6686776 | biostudies-literature
Project description:BACKGROUND:Evidence-based interventions to reduce hospital readmissions may not generalize to resource-constrained safety-net hospitals. OBJECTIVE:To determine if an intervention by patient navigators (PNs), hospital-based Community Health Workers, reduces readmissions among high risk, low socioeconomic status patients. DESIGN:Randomized controlled trial. PARTICIPANTS:General medicine inpatients having at least one of the following readmission risk factors: (1) age??60 years, (2) any in-network inpatient admission within the past 6 months, (3) length of stay??3 days, (4) admission diagnosis of heart failure, or (5) chronic obstructive pulmonary disease. The analytic sample included 585 intervention patients and 925 controls. INTERVENTIONS:PNs provided coaching and assistance in navigating the transition from hospital to home through hospital visits and weekly telephone outreach, supporting patients for 30 days post-discharge with discharge preparation, medication management, scheduling of follow-up appointments, communication with primary care, and symptom management. MAIN MEASURES:The primary outcome was in-network 30-day hospital readmissions. Secondary outcomes included rates of outpatient follow-up. We evaluated outcomes for the entire cohort and stratified by patient age >60 years (425 intervention/584 controls) and ?60 years (160 intervention/341 controls). KEY RESULTS:Overall, 30-day readmission rates did not differ between intervention and control patients. However, the two age groups demonstrated marked differences. Intervention patients >60 years showed a statistically significant adjusted absolute 4.1% decrease [95% CI: -8.0%, -0.2%] in readmission with an increase in 30-day outpatient follow-up. Intervention patients ?60 years showed a statistically significant adjusted absolute 11.8% increase [95% CI: 4.4%, 19.0%] in readmission with no change in 30-day outpatient follow-up. CONCLUSIONS:A patient navigator intervention among high risk, safety-net patients decreased readmission among older patients while increasing readmissions among younger patients. Care transition strategies should be evaluated among diverse populations, and younger high risk patients may require novel strategies.
| S-EPMC4471016 | biostudies-literature
Project description:Patient safety is a critical topic in health care globally, with implications for nurses, physicians, administrators, and most importantly, patients and their well-being. Online distance learning (ODL) is widely accepted among most disciplines in higher education and has been used to promote patient safety knowledge among health care students and professionals in diverse contexts. This article reports on an online Nursing and Patient Safety course developed in 2012 by the University of Miami School of Nursing and Health Studies in conjunction with the Pan American Health Organization and the International Network for Nursing and Patient Safety. The study's objectives are to describe the implementation of an international ODL program to enhance patient safety knowledge in nurses and nursing students, and to examine the participants' assessments of this online approach as an effective learning tool. Most participants who completed the Nursing and Patient Safety ODL course reported being satisfied with the course content and experience, and demonstrated increased knowledge on patient safety, as measured by post-module quizzes and self-report. Limitations of the study include the lack of a comparison group, disparity in the number of participants across the course's language formats (English, Portuguese, Spanish), and the large number of participants who registered for but did not complete the course. Future research should identify obstacles to course completion, explore participants' awareness of patient safety issues and perceived need for more instruction, and look at ways to disseminate the course to the broadest international population of nurses and nursing students.
| S-EPMC7236860 | biostudies-literature
Project description:ImportanceAlthough readmission rates are declining under Medicare's Hospital Readmissions Reduction Program (HRRP), concerns remain that the HRRP will harm quality at safety-net hospitals because they are penalized more often. Disparities between white and black patients might widen because more black patients receive care at safety-net hospitals. Disparities may be particularly worse for clinical conditions not targeted by the HRRP because hospitals might reallocate resources toward targeted conditions (acute myocardial infarction, pneumonia, and heart failure) at the expense of nontargeted conditions.ObjectiveTo examine disparities in readmission rates between white and black patients discharged from safety-net or non-safety-net hospitals after the HRRP began, evaluating discharges for any clinical condition and the subsets of targeted and nontargeted conditions.Design, setting, and participantsCohort study conducting quasi-experimental analyses of patient hospital discharges for any clinical condition among fee-for-service Medicare beneficiaries from 2007 to 2015 after controlling for patient and hospital characteristics. Changes in disparities were measured within safety-net and non-safety-net hospitals after the HRRP penalties were enforced and compared with prior trends. These analyses were then stratified by targeted and nontargeted conditions. Analyses were conducted from October 1, 2017, through August 31, 2018.Main outcomes and measuresTrends in 30-day readmission rates among white and black patients by quarter and differences in trends across periods.ResultsThe study sample included 58 237 056 patient discharges (black patients, 9.8%; female, 57.7%; mean age [SD] age, 78.8 [7.9] years; nontargeted conditions, 50 372 806 [86.5%]). Within safety-net hospitals, disparities in readmission rates for all clinical conditions widened between black and white patients by 0.04 percentage point per quarter in the HRRP penalty period (95% CI, 0.01 to 0.07; P = .01). This widening was driven by nontargeted conditions (0.05 percentage point per quarter [95% CI, 0.01 to 0.08]; P = .006), whereas disparities for the HRRP-targeted conditions did not change (with an increase of 0.01 percentage point per quarter [95% CI, -0.07 to 0.10]; P = .74). Within non-safety-net hospitals, racial disparities remained stable in the HRRP penalty period across all conditions, whether the conditions were HRRP-targeted or nontargeted.Conclusions and relevanceFindings from this study suggest that disparities are widening within safety-net hospitals, specifically for non-HRRP-targeted conditions. Although increases in racial disparities for nontargeted conditions were modest, they represent 6 times more discharges in our cohort than targeted conditions.
| S-EPMC6324411 | biostudies-literature