Is Electronic Information Exchange Associated With Lower 30-Day Readmission Charges Among Medicare Beneficiaries?

OBJECTIVE: Fragmented readmissions, when admission and readmission occur at different hospitals, are associated with increased charges compared with nonfragmented readmissions. We assessed if hospital participation in health information exchange (HIE) was associated with differences in total charges in fragmented readmissions. DATA SOURCE: Medicare Fee-for-Service Data, 2018. STUDY DESIGN: We used generalized linear models with hospital referral region and readmission month fixed effects to assess relationships between information sharing (same HIE, different HIEs, and no HIE available) and total charges of 30-day readmissions among fragmented readmissions; analyses were adjusted for patient-level clinical/demographic characteristics and hospital-level characteristics. DATA EXTRACTION METHODS: We included beneficiaries with a hospitalization for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues with a 30-day readmission for any reason. PRINCIPAL FINDINGS: In all, 279,729 admission-readmission pairs were included, 27% of which were fragmented (n=75,438); average charges of fragmented readmissions were $64,897-$71,606. Compared with fragmented readmissions where no HIE was available, the average marginal effects of same-HIE and different-HIE admission-readmission pairs were -$2329.55 (95% CI: -7333.73, 2674.62) and -$3905.20 (95% CI: -7592.85, -307.54), respectively. While the average marginal effects of different-HIE pairs were lower than those for no-HIE fragmented readmissions, the average marginal effects of same-HIE and different-HIE pairs were not significantly different from each other. CONCLUSIONS: There were no statistical differences in charges between fragmented readmissions to hospitals that share an HIE or that do not share an HIE compared with hospitals with no HIE available.

Care fragmentation and readmission mortality and length of stay before and during the COVID-19 pandemic: data from the National Readmissions Database, 2018-2020.

IMPORTANCE: A quarter of all 30-day readmissions involve fragmented care, where patients return to a different hospital than their original admission; these readmissions are associated with increased in-hospital mortality and longer lengths-of-stay (LOS). The stress on healthcare systems at the beginning of the COVID-19 pandemic could worsen care fragmentation and related outcomes. OBJECTIVE: To compare fragmented readmissions in 2020 versus 2018-2019 and assess whether mortality and LOS in fragmented readmissions differed in the two time periods. DESIGN: Observational study SETTING: National Readmissions Database (NRD), 2018-2020 PARTICIPANTS: All adults (> 18 y/o) with 30-day readmissions MAIN OUTCOMES AND MEASURES: We examined the percentage of fragmented readmissions over 2018-2020. Using unadjusted and adjusted logistic and linear regressions, we estimated the associations between fragmented readmissions and in-hospital mortality and LOS. RESULTS: 24.0-25.7% of readmissions in 2018-2020 and 27.3%-31.0% of readmissions for COVID-19 were fragmented. 2018-2019 fragmented readmissions were associated with 18-20% higher odds of in-hospital mortality compared to nonfragmented readmissions. Fragmented readmissions for COVID-19 were associated with an 18% increase in in-hospital mortality (AOR 1.18, 95% CI 1.12, 1.24). The LOS of fragmented readmissions in March-November 2018-2019 were on average 0.81 days longer, while fragmented readmissions between March-November of 2020 were associated with a 0.88-1.03 day longer LOS. CONCLUSIONS AND RELEVANCE: A key limitation is that the NRD does not contain information on several patient/hospital-level factors that may be associated with the outcomes of interest. We observed increased fragmentation during COVID-19, but its impact on in-hospital mortality and LOS remained consistent with previous years.

Effects of Health Information Exchanges in the Adult Inpatient Setting: a Systematic Review.

BACKGROUND: Health information exchanges (HIEs) have proliferated over the last decade, but a gap remains in our understanding of their benefits to patients and the healthcare system. In this systematic review, we provide an updated report on what is known regarding the impacts of HIE on clinical, health care utilization, and cost outcomes in the adult inpatient setting. METHODS: We searched Pubmed, Web of Science, Embase, Cochrane, and Ebsco databases for citations published between January 2015 and August 2021. Eligible studies were English-language experimental or observational studies. We assessed risk of bias via the National Heart Lung and Blood Institute's Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. RESULTS: We identified 11 eligible studies-1 quasi-experimental and 10 observational. Five studies examined readmission rates and 3 found benefits from HIE. Three studies examined mortality with 2 finding benefits from the availability of HIE. Eight studies examined utilization and cost outcomes with 2 finding benefits from HIE, 1 finding poorer outcomes with HIE, and the others finding no impact. CONCLUSIONS: Evidence for the impacts of HIE remains largely observational with little direct measure of HIE use during clinical care, making causality difficult to assess. The highly variable outcomes examined by these studies limit meaningful synthesis. The strength of evidence is low that HIE reduces unplanned readmissions and mortality and there is insufficient evidence for the impact of HIE on cost or utilization. The increased number of studies specific to inpatient settings that examine objective outcomes with more rigorous statistical methods is a promising development since prior reviews. TRIAL REGISTRATION: PROSPERO 2021 CRD42021274049 Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021274049 AMENDMENTS TO PROTOCOL: Initially planned use of the Newcastle-Ottawa quality assessment scale was substituted for the National Heart Lung and Blood Institute's Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies as it was better suited to evaluate the primarily retrospective observational cohort studies identified in the review.

Association of distance between hospitals and volume of shared admissions.

BACKGROUND: To assess whether decreasing distance between hospitals was associated with the number of shared patients (patients with an admission to one hospital and a readmission to another). METHODS: Data were from the Healthcare Cost and Utilization Project's State Inpatient Databases (Florida, Georgia, Maryland, Utah [2017], New York, Vermont [2016]) and the American Hospital Association Annual Survey (2016 & 2017). This was a cross-sectional analysis of patients who had an index admission and subsequent readmission at different hospitals within the same year. We used unadjusted and adjusted linear regression to evaluate the association between the number of shared patients and the distance between admission-readmission hospital pairs. RESULTS: There were 691 hospitals in the sample (247 in Florida, 151 in Georgia, 50 in Maryland, 172 in New York, 58 in Utah, and 13 in Vermont), accounting for a total of 596,772 admission-readmission pairs. 32.6% of the admission-readmission pairs were shared between two hospitals. On average, a one-mile decrease in distance between two hospitals was associated with of 3.05 (95% CI, 3.02, 3.07) more shared admissions. However, variability between states was wide, with Utah having 0.37 (95% CI 0.35, 0.39) more shared admissions between hospitals per one-mile shorter distance, and Maryland having 4.98 (95% CI 4.87, 5.08) more. CONCLUSIONS: We found that proximity between hospitals is associated with higher volumes of shared admissions.

Mammography use and breast cancer incidence among older U.S. women.

PURPOSE: The death rate for female breast cancer increases progressively with age, but organizations differ in their mammography screening recommendations for older women. To understand current patterns of screening mammography use and breast cancer diagnoses among older women, we examined recent national data on mammography screening use and breast cancer incidence and stage at diagnosis among women aged ≥ 65 years. METHODS: We examined breast cancer incidence using the 2016 United States Cancer Statistics dataset and analyzed screening mammography use among women aged ≥ 65 years using the 2018 National Health Interview Survey. RESULTS: Women aged 70-74 years had the highest breast cancer incidence rate (458.3 cases per 100,000 women), and women aged ≥ 85 years had the lowest rate (295.2 per 100,000 women). The proportion of cancer diagnosed at distant stage or with unknown stage increased with age. Over half of women aged 80-84 years and 26.0% of women aged ≥ 85 years reported a screening mammogram within the last 2 years. Excellent/very good/good self-reported health status (p = .010) and no dependency in activities of daily living/instrumental activities of daily living (p < .001) were associated with recent mammography screening. CONCLUSION: Breast cancer incidence rates and stage at diagnosis vary by age. Many women aged ≥ 75 years receive screening mammograms. The results of this study point to areas for further investigation to promote optimal mammography screening among older women.

Diabetes Complications in Racial and Ethnic Minority Populations in the USA.

PURPOSE OF REVIEW: Racial and ethnic minority populations have a higher burden of diabetes-related complications. There have been many epidemiologic studies to better define these racial/ethnic disparities in diabetes outcomes with additional studies offering interventions to mitigate them. This narrative review highlights the epidemiologic trends in diabetes complications specific to racial and ethnic minorities and underscores differences in microvascular and macrovascular complications of diabetes, health care utilization, and diabetes prevention efforts and also reviews interventions aimed to reduce racial/ethnic disparities and their limitations. RECENT FINDINGS: While we have seen in general an overall improvement in complication rates for all people with diabetes, the disparities between Black and Hispanic compared to non-Hispanic White people with diabetes seem to persist. There is a continued need to better understand the underlying causes of and strategies to mitigate race/ethnicity disparities in diabetes complications in the USA.

Patient Outcomes Following Interhospital Care Fragmentation: A Systematic Review.

INTRODUCTION: Interhospital fragmentation of care occurs when patients are admitted to different, disconnected hospitals. It has been hypothesized that this type of care fragmentation decreases the quality of care received and increases hospital costs and healthcare utilization. This systematic review aims to synthesize the existing literature exploring the association between interhospital fragmentation of care and patient outcomes. METHODS: MEDLINE, the Cochrane Library, EMBASE, and the Science Citation Index were systematically searched for studies published up to April 30, 2018 reporting the association between interhospital fragmentation of care and patient outcomes. We included peer-reviewed observational studies conducted in adults that reported measures of association between interhospital care fragmentation and one or more of the following patient outcomes: mortality, hospital length of stay, cost, and subsequent hospital readmission. RESULTS: Seventy-nine full texts were reviewed and 22 met inclusion criteria. Nearly all studies defined fragmentation of care as a readmission to a different hospital than the patient was previously discharged from. The strongest association reported was that between a fragmented readmission and in-hospital or short-term mortality (adjusted odds ratio range 0.95-3.62). Over half of the studies reporting length-of-stay showed longer length of stay in fragmented readmissions. All three studies that investigated healthcare utilization suggested an association between fragmented care and odds of subsequent readmission. The study populations and exposures were too heterogenous to perform a meta-analysis. DISCUSSION: Our review suggests that fragmented hospital readmissions contribute to increased mortality, longer length-of-stay, and increased risk of readmission to the hospital.

Pretreatment Assessment of Psychosocial Readiness Is Not Associated with Improved Treatment Outcomes in a Safety-Net HCV Treatment Clinic.

OBJECTIVES: Hepatitis C virus (HCV) is highly curable with antiviral therapy, and traditionally, treatment adherence has been critical for treatment success. We sought to determine whether assessing HCV treatment readiness with a structured treatment readiness tool was associated with increased rates of adherence and cure among patients at a safety-net HCV clinic. METHODS: We administered the Psychosocial Readiness Evaluation and Preparation for HCV Treatment (PREP-C) tool to 50 patients and compared them with 50 patients who received the usual care. The outcome measures included achievement of treatment milestones (eg, adherence to treatment, clinic visit attendance) and sustained virologic response (cure). RESULTS: We found no association between receiving the PREP-C assessment and outcomes, including referral to or starting HCV treatment, adherence to treatment, and HCV cure. CONCLUSIONS: We found that receiving the PREP-C assessment did not improve treatment outcomes, suggesting that targeted pretreatment assessment is unnecessary even in a medically and psychosocially complex population.

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

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 < 0.0001). CONCLUSIONS: These 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.

Where and what separates rural from urban hospital closures?

Despite the recent closure of several high-profile metropolitan hospitals, investigations into risk factors for metropolitan hospital closures have been limited. The goal of this study was to describe metropolitan hospitals that closed and compare them to metropolitan hospitals that remain open and micropolitan and rural hospitals that closed using American Hospital Association Annual Survey Data from 2010 to 2021. We independently verified hospitals reported as closed in the Annual Survey and examined the hospital characteristics associated with closure using bivariate statistics and logistic regression. We found that metropolitan hospitals that closed (n = 142) were more likely to be for-profit (66.9% vs. 29.7%, p < .0001; adjusted odds ratio [AOR]: 3.05, 95% confidence interval [CI]: 1.93, 4.81) and to come from a state that did not expand Medicaid (45.1% vs. 29.4%, p < .0001; AOR: 1.66, 95% CI: 1.16, 2.38). Policies tailored to metropolitan hospitals should be developed to identify at-risk hospitals and mitigate the effect of closures on patients, clinicians, and other stakeholders.

Fragmented Readmissions From a Nursing Facility in Medicare Beneficiaries.

Over one-third of Medicare beneficiaries discharged to nursing facilities require readmission. When those readmissions are to a different hospital than the original admission, or "fragmented readmissions," they carry increased risks of mortality and subsequent readmissions. This study examines whether Medicare beneficiaries readmitted from a nursing facility are more likely to have a fragmented readmission than beneficiaries readmitted from home among a 2018 cohort of Medicare beneficiaries, and examined whether this association was affected by a diagnosis of Alzheimer's Disease (AD). In fully adjusted models, readmissions from a nursing facility were 19% more likely to be fragmented (AOR 1.19, 95% CI 1.16, 1.22); this association was not affected by a diagnosis of AD. These results suggest that readmission from nursing facilities may contribute to care fragmentation for older adults, underscoring it as a potentially modifiable pre-hospital risk factor for fragmented readmissions.

Impact of electronic information exchange on repeat imaging during 30-day readmissions among Medicare beneficiaries.

OBJECTIVES: We examined the association between electronic health information sharing and repeat imaging in readmissions among older adults with and without Alzheimer disease (AD). STUDY DESIGN: Cohort study using national Medicare data. METHODS: Among Medicare beneficiaries with 30-day readmissions in 2018, we examined repeat imaging on the same body system during the readmission. This was evaluated between fragmented and nonfragmented (same-hospital) readmissions and across categories of electronic information sharing via health information exchanges (HIEs) in fragmented readmissions: admission and readmission hospitals share the same HIE, admission and readmission hospitals participate in different HIEs, one or both do not participate in HIE, or HIE data missing. This relationship was evaluated using unadjusted and adjusted logistic regression. RESULTS: Overall, 14.3% of beneficiaries experienced repeat imaging during their readmission. Compared with nonfragmented readmissions, fragmented readmissions were associated with 5% higher odds of repeat imaging on the same body system in older adults without AD. This was not mitigated by the presence of electronic information sharing: Fragmented readmissions to hospitals that shared an HIE had 6% higher odds of repeat imaging (adjusted OR, 1.06; 95% CI, 1.00-1.13). There was no difference seen in the odds of repeat imaging for older adults with AD. CONCLUSIONS: Despite substantial investment, HIEs as currently deployed and used are not associated with decreased odds of repeat imaging in readmissions.

Association of Interview and Holistic Review Metrics With Resident Performance-Related Difficulties in an Internal Medicine Residency Program.

Background The utility of traditional academic factors to predict residency candidates' performance is unclear. Many programs utilize holistic review processes assessing applicants on an expanded range of application and interview characteristics. Determining which characteristics might predict performance-related difficulty in residency is needed. Objective We aim to elucidate factors associated with residency performance-related difficulty in a large academic internal medicine residency program. Methods In 2022, we conducted a retrospective cohort study of Electronic Residency Application Service and interview data for residents matriculating between 2018 and 2020. The primary outcome was a composite of performance-related difficulty during residency (referral to the Clinical Competency Committee; any rotation evaluation score of 2 out of 5 or lower; and/or a confidential "comment of concern" to the program director). Logistic regression models were fit to assess associations between resident characteristics and the composite outcome. Results Thirty-eight of 117 residents met the composite outcome. Gold Humanism Honor Society (odds ratio [OR] 0.24, 95% confidence interval [CI] 0.16-0.87) or Alpha Omega Alpha (OR 0.36, 95% CI 0.14-0.99) members were less likely to have performance-related difficulty, as were residents with higher United States Medical Licensing Examination Step 2 Clinical Knowledge scores (OR 0.97, 95% CI 0.47-1.00). One-point increases in general faculty overall interview score, leadership competency score, and leadership overall score were associated with 41% to 63% lower odds of meeting the composite outcome. Interview or file review "flags" had an OR of 2.82 (95% CI 1.37-5.80) for the composite outcome. Conclusions Seven metrics were associated with the composite outcome of resident performance-related difficulty.

Ambulance use and subsequent fragmented hospital readmission among older adults.

BACKGROUND: Interhospital care fragmentation, when a patient is readmitted to a different hospital than they were originally discharged from, occurs in 20%-25% of readmissions. Mode of transport to the hospital, specifically ambulance use, may be a risk factor for fragmented readmissions. Our study seeks to further understand the relationship between ambulance transport and fragmented readmissions in older adults, a population that is at increased risk for poor outcomes following fragmented readmissions. METHODS: We analyzed inpatient claims from Medicare beneficiaries in 2018 who had a hospital admission for select Hospital Readmission Reduction Program Conditions (acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia) as well as dehydration, syncope, urinary tract infection, or behavioral issues. We evaluated the associations between ambulance transport and a fragmented readmission using logistic regression models adjusted for demographic, clinical, and hospital characteristics. RESULTS: The study included 1,186,600 30-day readmissions. Of these, 46.8% (n = 555,847) required ambulance transport. In fully adjusted models, taking an ambulance to the readmission hospital increased the odds of a fragmented readmission by 38% (95% CI 1.32, 1.44). When this association was examined by readmission major diagnostic category (MDC), the strongest associations were seen for Factors Influencing Health Status and Other Contacts with Health Services (i.e., rehabilitation, aftercare) (AOR 3.66, 95% CI 3.11, 4.32), Mental Diseases and Disorders (AOR 2.69, 95% CI 2.44, 2.97), and Multiple Significant Trauma (AOR 2.61, 95% CI 1.56, 4.35). When the model was stratified by patient origin, ambulance use remained associated with fragmented readmissions across all locations. CONCLUSIONS: Ambulance use is associated with increased odds of a fragmented readmission, though the strength of the association varies by readmission diagnosis and origin. Patient-, hospital-, and system-level interventions should be developed, implemented, and evaluated to address this modifiable risk factor.

Association of Fragmented Readmissions and Electronic Information Sharing With Discharge Destination Among Older Adults.

Importance: When an older adult is hospitalized, where they are discharged is of utmost importance. Fragmented readmissions, defined as readmissions to a different hospital than a patient was previously discharged from, may increase the risk of a nonhome discharge for older adults. However, this risk may be mitigated via electronic information exchange between the admission and readmission hospitals. Objective: To determine the association of fragmented hospital readmissions and electronic information sharing with discharge destination among Medicare beneficiaries. Design, Setting, and Participants: This cohort study retrospectively examined data from Medicare beneficiaries hospitalized for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues in 2018 and their 30-day readmission for any reason. The data analysis was completed between November 1, 2021, and October 31, 2022. Exposures: Same hospital vs fragmented readmissions and presence of the same health information exchange (HIE) at the admission and readmission hospitals vs no information shared between the admission and readmission hospitals. Main Outcomes and Measures: The main outcome was discharge destination following the readmission, including home, home with home health, skilled nursing facility (SNF), hospice, leaving against medical advice, or dying. Outcomes were examined for beneficiaries with and without Alzheimer disease using logistic regressions. Results: The cohort included 275 189 admission-readmission pairs, representing 268 768 unique patients (mean [SD] age, 78.9 [9.0] years; 54.1% female and 45.9% male; 12.2% Black, 82.1% White, and 5.7% other race and ethnicity). Of the 31.6% fragmented readmissions in the cohort, 14.3% occurred at hospitals that shared an HIE with the admission hospital. Beneficiaries with same hospital/nonfragmented readmissions tended to be older (mean [SD] age, 78.9 [9.0] vs 77.9 [8.8] for fragmented with same HIE and 78.3 [8.7] years for fragmented without HIE; P < .001). Fragmented readmissions were associated with 10% higher odds of discharge to an SNF (adjusted odds ratio [AOR], 1.10; 95% CI, 1.07-1.12) and 22% lower odds of discharge home with home health (AOR, 0.78; 95% CI, 0.76-0.80) compared with same hospital/nonfragmented readmissions. When the admission and readmission hospital shared an HIE, beneficiaries had 9% to 15% higher odds of discharge home with home health (patients without Alzheimer disease: AOR, 1.09 [95% CI, 1.04-1.16]; patients with Alzheimer disease: AOR, 1.15 [95% CI, 1.01-1.32]) compared with fragmented readmissions where information sharing was not available. Conclusions and Relevance: In this cohort study of Medicare beneficiaries with 30-day readmissions, whether a readmission is fragmented was associated with discharge destination. Among fragmented readmissions, shared HIE across admission and readmission hospitals was associated with higher odds of discharge home with home health. Efforts to study the utility of HIE for care coordination for older adults should be pursued.