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.

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.

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.

The Impact of Health Information Exchange on In-Hospital and Postdischarge Mortality in Older Adults with Alzheimer Disease Readmitted to a Different Hospital Within 30 Days of Discharge: Cohort Study of Medicare Beneficiaries.

BACKGROUND: Although electronic health information sharing is expanding nationally, it is unclear whether electronic health information sharing improves patient outcomes, particularly for patients who are at the highest risk of communication challenges, such as older adults with Alzheimer disease. OBJECTIVE: To determine the association between hospital-level health information exchange (HIE) participation and in-hospital or postdischarge mortality among Medicare beneficiaries with Alzheimer disease or 30-day readmissions to a different hospital following an admission for one of several common conditions. METHODS: This was a cohort study of Medicare beneficiaries with Alzheimer disease who had one or more 30-day readmissions in 2018 following an initial admission for select Hospital Readmission Reduction Program conditions (acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, and pneumonia) or common reasons for hospitalization among older adults with Alzheimer disease (dehydration, syncope, urinary tract infection, or behavioral issues). Using unadjusted and adjusted logistic regression, we examined the association between electronic information sharing and in-hospital mortality during the readmission or mortality in the 30 days following the readmission. RESULTS: A total of 28,946 admission-readmission pairs were included. Beneficiaries with same-hospital readmissions were older (aged 81.1, SD 8.6 years) than beneficiaries with readmissions to different hospitals (age range 79.8-80.3 years, P<.001). Compared to admissions and readmissions to the same hospital, beneficiaries who had a readmission to a different hospital that shared an HIE with the admission hospital had 39% lower odds of dying during the readmission (adjusted odds ratio [AOR] 0.61, 95% CI 0.39-0.95). There were no differences in in-hospital mortality observed for admission-readmission pairs to different hospitals that participated in different HIEs (AOR 1.02, 95% CI 0.82-1.28) or to different hospitals where one or both hospitals did not participate in HIE (AOR 1.25, 95% CI 0.93-1.68), and there was no association between information sharing and postdischarge mortality. CONCLUSIONS: These results indicate that information sharing between unrelated hospitals via a shared HIE may be associated with lower in-hospital, but not postdischarge, mortality for older adults with Alzheimer disease. In-hospital mortality during a readmission to a different hospital was higher if the admission and readmission hospitals participated in different HIEs or if one or both hospitals did not participate in an HIE. Limitations of this analysis include that HIE participation was measured at the hospital level, rather than at the provider level. This study provides some evidence that HIEs can improve care for vulnerable populations receiving acute care from different hospitals.

Continuity of Medication Use by US Adults With Diabetes, 2005-2019.

Importance: Consistent medication use is critical for diabetes management. Population surveillance of consistency of medication use may identify opportunities to improve diabetes care. Objective: To evaluate trends in longitudinal use of glucose-, blood pressure-, and lipid-lowering medications by adults with diabetes. Design, Setting, and Participants: This serial cross-sectional study assessed trends in longitudinal use of glucose-, blood pressure-, and lipid-lowering medications by adults with diagnosed diabetes participating in the Medical Expenditure Panel Survey (MEPS), which allows serial cross-sections and 2-year longitudinal follow-up, between the 2005 to 2006 panel and 2018 to 2019 panel. Population-weighted, nationally representative estimates for the US were reported. Included individuals were adult MEPS participants with diagnosed diabetes during both years (ie, during 2005 and 2006 or during 2018 and 2019) who participated in all survey rounds. Data were analyzed from August 2021 to November 2022. Main Outcomes and Measures: Longitudinal use over the 2 years was categorized as continued use (at least 1 fill per year), no use, inconsistent use, and new use by medication type (glucose-, blood pressure-, and lipid-lowering medications). New medications were defined as prescription fills for a medication type first prescribed and filled in year 2 of MEPS participation. Results: A total of 15 237 participants with diabetes (7222 individuals aged 45-64 years [47.4%]; 8258 [54.2%] female participants; 3851 Latino [25.3%]; 3619 non-Latino Black (23.8%), and 6487 non-Latino White [42.6%]) were included in the analytical sample. A mean of 19.5% (95% CI, 18.6%-20.3%), 17.1% (95% CI, 16.2%-18.1%), and 43.3% (95% CI, 42.2%-44.3%) of participants did not maintain continuity in use of glucose-, blood pressure-, or lipid-lowering medications, respectively, during both years of follow-up. The proportion of participants who continued use of glucose-lowering medication in both years trended down from 84.5% (95% CI, 81.8%-87.3%) in 2005 to 2006 to 77.4% (95% CI, 74.8%-80.1%) in 2018 to 2019; this decrease coincided with rate increases in inconsistent use (3.3% [95% CI, 1.9%-4.7%] in 2005-2006 to 7.1% [95% CI, 5.6%-8.6%] in 2018-2019) and no use (8.1% [95% CI, 6.0%-10.1%] in 2005-2006 to 12.9% [95% CI, 10.9%-14.9%] in 2018-2019). Inconsistent use of blood pressure-lowering medications trended upward from 3.9% (95% CI, 1.8%-6.0%) in 2005 to 2006 to 9.0% (95% CI, 7.0%-11.0%) in 2016 to 2017. Inconsistent use of lipid-lowering medication trended up to a high of 9.9% (95% CI, 7.0%-12.7%) in 2017 to 2018. Conclusions and Relevance: This study found that a mean of 19.5% of participants did not maintain continuity in use of glucose-lowering medication, with recent decreases, while a mean of 17.1% and 43.2% of participants did not maintain continuity of use of blood pressure- or lipid-lowering medications, respectively.

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.

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.

Trends and Variations in Emergency Department Use Associated With Diabetes in the US by Sociodemographic Factors, 2008-2017.

Importance: Little is known about emergency department (ED) use among people with diabetes and whether the pattern of ED use varies across geographic areas and population subgroups. Objective: To estimate recent national- and state-level trends in diabetes-related ED use overall and by race and ethnicity, rural or urban location, and insurance status. Design, Setting, and Participants: This cross-sectional study of adults visiting the ED with a diabetes-related diagnosis used serial data from the Nationwide Emergency Department Sample, a nationally representative database, and discharge records from 11 state emergency department databases for 2008, 2011, 2014, and 2016 to 2017. Data were analyzed from March 16 to November 9, 2020. Exposures: Reported race and ethnicity, rural or urban location, and insurance status. Data were stratified to generate state-specific estimates. Main Outcomes and Measures: Rates of ED use for all-cause visits among adults with diabetes (all-cause diabetes visits) and visits with primary diagnoses of diabetes-specific complications. Results: A larger portion of all-cause diabetes ED visits (n = 32 433 015) were by female (56.8%) and middle-aged (mean [SD] age, 58.4 [16.3] years) adults with diabetes. Nationally, all-cause diabetes ED visits per 10 000 adults increased 55.6% (95% CI, 50.6%-60.6%), from 257.6 (95% CI, 249.9-265.3) visits in 2008 to 400.8 (95% CI, 387.6-414.0) visits in 2017. All-cause diabetes ED visits increased more for urban (58.3%; 95% CI, 52.5%-64.1%) and uninsured subgroups (75.3% [95% CI, 59.8%-90.8%]) than for their counterparts. Diabetes-specific ED visits (weighted number of 1 911 795) nationally increased slightly among all subgroups. State-specific ED use rates show wide state-to-state variations in ED use by race and ethnicity, rural or urban location, and insurance. On average across states, diabetes-specific ED use among Black patients was approximately 3 times (rate ratio, 3.09 [95% CI, 2.91-3.30]) greater than among non-Hispanic White patients, and among Hispanic patients, it was 29% greater (rate ratio, 1.29 [95% CI, 1.19-1.40]) than among non-Hispanic White patients. The mean rate of ED use among rural patients was 34% greater (rate ratio, 1.34 [95% CI, 1.26-1.44]) than among urban patients. The mean rates of ED use among patients with Medicaid (rate ratio, 6.65 [95% CI, 6.49-6.82]) and Medicare (rate ratio, 4.37 [95% CI, 4.23-4.51]) were greater than among privately insured adults. Conclusions and Relevance: This study suggests that disparities in diabetes-related ED use associated with race and ethnicity, rural or urban location, and insurance status were persistent from 2008 to 2017 within and across states, as well as nationally. Further geographic and demographic-specific analyses are needed to understand the sources of inequity.

Trends and Demographic Disparities in Diabetes Hospital Admissions: Analyses of Serial Cross-Sectional National and State Data, 2008-2017.

OBJECTIVE: To analyze national and state-specific trends in diabetes-related hospital admissions and determine whether disparities in rates of admission exist between demographic groups and geographically dispersed states. RESEARCH DESIGN AND METHODS: We conducted serial cross-sectional analyses of the National Inpatient Sample (2008, 2011, 2014, and 2016) and State Inpatient Databases for Arizona, Florida, Kentucky, Iowa, Maryland, Nebraska, New Jersey, New York, North Carolina, Utah, and Vermont for 2008, 2011, 2014, and 2016/2017 among adult patients with type 1 and type 2 diabetes-related ICD codes (ICD-9 [250.XX] or ICD-10 [E10.XXX, E11.XXX, and E13.XXX]. We measured hospitalization rates for people with diabetes (all-cause hospitalizations) and for admissions with a primary diagnosis of diabetes or diabetes-related complications (diabetes-specific hospitalizations) per 10,000 people per year. RESULTS: Nationally, all-cause and diabetes-specific hospitalizations declined by 3.1% (95% CI -5.5, -0.7) and 19.1% (95% CI -21.6, -16.6), respectively, over 2008 to 2016. The analysis of individual states showed that diabetes-specific admissions in individuals ≥65 years old declined during this time (16.3-48.8% decrease) but increased among patients 18-29 years old (10.5-81.5% increase) and that rural diabetes-specific admissions decreased in just over half of the included states (15.2-69.2% decrease). There were no differences in changes in admission rates among different racial/ethnic groups. CONCLUSIONS: Overall, rates of diabetes-related hospitalizations decreased over 2008 to 2016/2017, but there were large state-level differences across subgroups of patients. The rise in diabetes hospitalizations among young adults is a cause for concern. These state- and subpopulation-level differences highlight the need for state-level policies and interventions to address disparities in diabetes health care use.

Association between interhospital care fragmentation, readmission diagnosis, and outcomes.

OBJECTIVES: To assess in-hospital mortality, length of stay, and costs associated with interhospital fragmentation in 30-day readmissions and to determine whether these associations were more or less pronounced for patients with specific high-prevalence conditions. STUDY DESIGN: Cross-sectional analysis using the Agency for Healthcare Research and Quality's National Readmissions Database for 2013 and 2014. METHODS: All patients 18 years and older with a 30-day readmission in 2014 were included. We assessed if readmission to a hospital different from that of the index admission was associated with in-hospital mortality, length of stay, and costs of readmission, separately by whether the readmission occurred for the same or different major diagnostic category. Patients with 1 of 3 common diagnoses (congestive heart failure [CHF], chronic obstructive pulmonary disease [COPD], or myocardial infarction) were studied for disease-specific trends. The same analyses were performed on 2013 data as a sensitivity analysis. RESULTS: In 2014, among 792,596 patients with a 30-day readmission, 22.2% experienced fragmentation. Compared with patients whose readmission occurred at the index hospital, patients readmitted to a different hospital experienced 20% higher odds of dying in hospital (P = .02 for same diagnosis readmission; P = .03 for different diagnosis readmission), a half-a-day longer length of stay (P < .001 for both same and different diagnosis readmissions), and more than $1000 higher costs (P < .001 for both same and different diagnosis readmissions). For patients with a CHF or COPD index admission, mortality was consistently higher for fragmented readmissions for a different condition. CONCLUSIONS: Fragmented readmissions were associated with higher in-hospital mortality and cost. Clinical variation across conditions warrants further investigation to optimize pre- and postdischarge operations and policy.

Deprescribing Medications Among Older People to Reduce Polypharmacy at a Comprehensive Academic Medical Center.

OBJECTIVE: To evaluate deprescribing of select high-risk medications (HRMs) in an Acute Care for the Elderly (ACE) unit with pharmacist involvement compared with usual care in older people. DESIGN: Retrospective, single-center case-control study. SETTING: Medical-surgical units at an urban academic medical center. PARTICIPANTS: Patients 65 years of age and older admitted April-June 2019, with 1 or more of the following target HRMs prior to admission were included in the study: acid suppressants, antipsychotics, or insulin. Patients admitted to the ACE unit were included in the case group; all other patients were randomly matched by HRMs in a 2:1 ratio into the control group. INTERVENTIONS: The Acute Care for the Elderly pharmacist reviewed patients' medications to identify and deprescribe select HRMs. Deprescribing was defined as discontinuation, dose or frequency reduction. RESULTS: A total of 47 patients with 56 HRMs and 89 patients with 126 HRMs were included in the case and control groups, respectively. The primary outcome of HRMs deprescribed were similar between the case and control groups (21.4% and 25.4%; P = 0.56). Among the HRMs deprescribed (discontinued, dose or frequency reduced), 83.2% were complete discontinuations in case patients and 34.4% were complete discontinuations in control patients.

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.