Search

Background: Readmissions contribute to excessive care costs and burden for people living with dementia. Assessments of racial disparities in readmissions among dementia populations are lacking, and the role of social and geographic risk factors such as individual-level exposure to greater neighborhood disadvantage is poorly understood. We examined the association between race and 30-day readmissions in a nationally representative sample of Black and non-Hispanic White individuals with dementia diagnoses., Methods: This retrospective cohort study used 100% Medicare fee-for-service claims from all 2014 hospitalizations nationwide among Medicare enrollees with dementia diagnosis linked to patient, stay, and hospital factors. The sample consisted of 1,523,142 hospital stays among 945,481 beneficiaries. The relationship between all cause 30-day readmissions and the explanatory variable of self-reported race (Black, non-Hispanic White) was examined via generalized estimating equations approach adjusting for patient, stay, and hospital-level characteristics to model 30-day readmission odds., Results: Black Medicare beneficiaries had 37% higher readmission odds compared to White beneficiaries (unadjusted OR 1.37, CI 1.35-1.39). This heightened readmission risk persisted after adjusting for geographic factors (OR 1.33, CI 1.31-1.34), social factors (OR 1.25, CI 1.23-1.27), hospital characteristics (OR 1.24, CI 1.23-1.26), stay-level factors (OR 1.22, CI 1.21-1.24), demographics (OR 1.21, CI 1.19-1.23), and comorbidities (OR 1.16, CI 1.14-1.17), suggesting racially-patterned disparities in care account for a portion of observed differences. Associations varied by individual-level exposure to neighborhood disadvantage such that the protective effect of living in a less disadvantaged neighborhood was associated with reduced readmissions for White but not Black beneficiaries. Conversely, among White beneficiaries, exposure to the most disadvantaged neighborhoods associated with greater readmission rates compared to White beneficiaries residing in less disadvantaged contexts., Conclusions: There are significant racial and geographic disparities in 30-day readmission rates among Medicare beneficiaries with dementia diagnoses. Findings suggest distinct mechanisms underlying observed disparities differentially influence various subpopulations., (© 2023 The Authors. Journal of the American Geriatrics Society published by Wiley Periodicals LLC on behalf of The American Geriatrics Society.)

Objective: Recent studies suggest young adults with systemic lupus erythematosus (SLE) have high 30-day readmission rates, which may necessitate tailored readmission reduction strategies. To aid in risk stratification for future strategies, we measured 30-day rehospitalization and mortality rates among Medicare beneficiaries with SLE and determined rehospitalization predictors by age., Methods: In a 2014 20% national Medicare sample of hospitalizations, rehospitalization risk and mortality within 30 days of discharge were calculated for young (aged 18-35 yrs), middle-aged (aged 36-64 yrs), and older (aged 65+ yrs) beneficiaries with and without SLE. Multivariable generalized estimating equation models were used to predict rehospitalization rates among patients with SLE by age group using patient, hospital, and geographic factors., Results: Among 1.39 million Medicare hospitalizations, 10,868 involved beneficiaries with SLE. Hospitalized young adult beneficiaries with SLE were more racially diverse, were living in more disadvantaged areas, and had more comorbidities than older beneficiaries with SLE and those without SLE. Thirty-day rehospitalization was 36% among young adult beneficiaries with SLE-40% higher than peers without SLE and 85% higher than older beneficiaries with SLE. Longer length of stay and higher comorbidity risk score increased odds of rehospitalization in all age groups, whereas specific comorbid condition predictors and their effect varied. Our models, which incorporated neighborhood-level socioeconomic disadvantage, had moderate-to-good predictive value (C statistics 0.67-0.77), outperforming administrative data models lacking comprehensive social determinants in other conditions., Conclusion: Young adults with SLE on Medicare had very high 30-day rehospitalization at 36%. Considering socioeconomic disadvantage and comorbidities provided good prediction of rehospitalization risk, particularly in young adults. Young beneficiaries with SLE with comorbidities should be a focus of programs aimed at reducing rehospitalizations., (Copyright © 2023 by the Journal of Rheumatology.)

Background Ventricular tachycardia (VT) ablation significantly improves our ability to control VT, yet little is known about whether disparities exist in delivery of this technology. Methods and Results Using a national 100% Medicare inpatient data set of beneficiaries admitted with VT from January 1, 2014, through November 30, 2014, multivariable logistic regression techniques were used to examine the sociodemographic and clinical characteristics associated with receiving ablation. Census block group-level neighborhood socioeconomic disadvantage was measured for each patient by the Area Deprivation Index, a composite measure of socioeconomic disadvantage consisting of education, income, housing, and employment factors. Among 131 645 patients admitted with VT, 2190 (1.66%) received ablation. After adjustment for comorbidities, hospital characteristics, and sociodemographics, female sex (odds ratio [OR], 0.75 [95% CI, 0.67-0.84]), identifying as Black race (OR, 0.75 [95% CI, 0.62-0.90] compared with identifying as White race), and living in a highly socioeconomically disadvantaged neighborhood (national Area Deprivation Index percentile of >85%) (OR, 0.81 [95% CI, 0.69-0.95] versus Area Deprivation Index ≤85%) were associated with significantly lower odds of receiving ablation. Conclusions Female patients, patients identifying as Black race, and patients living in the most disadvantaged neighborhoods are 19% to 25% less likely to receive ablation during hospitalization with VT. The cause of and solutions for these disparities require further investigation.

Background: As healthcare systems strive for efficiency, hospital "length of stay outliers" have the potential to significantly impact a hospital's overall utilization. There is a tendency to exclude such "outlier" stays in local quality improvement and data reporting due to their assumed rare occurrence and disproportionate ability to skew mean and other summary data. This study sought to assess the influence of length of stay (LOS) outliers on inpatient length of stay and hospital capacity over a 5-year period at a large urban academic medical center., Methods: From January 2014 through December 2019, 169,645 consecutive inpatient cases were analyzed and assigned an expected LOS based on national academic center benchmarks. Cases in the top 1% of national sample LOS by diagnosis were flagged as length of stay outliers., Results: From 2014 to 2019, mean outlier LOS increased (40.98 to 45.11 days), as did inpatient LOS with outliers excluded (5.63 to 6.19 days). Outlier cases increased both in number (from 297 to 412) and as a percent of total discharges (0.98 to 1.56%), and outlier patient days increased from 6.7 to 9.8% of total inpatient plus observation days over the study period., Conclusions: Outlier cases utilize a disproportionate and increasing share of hospital resources and available beds. The current tendency to exclude such outlier stays in data reporting due to assumed rare occurrence may need to be revisited. Outlier stays require distinct and targeted interventions to appropriately reduce length of stay to both improve patient care and maintain hospital capacity., (© 2021. The Author(s).)

Objective: Evaluate the difference in antibiotic prescribing between various levels of resident training or attending types., Design: Observational, retrospective study., Setting: Tertiary-care, academic medical center in Madison, Wisconsin., Methods: We measured antibiotic utilization from January 1, 2016, through December 31, 2018, in our general medicine (GM) and hospitalist services. The GM1 service is staffed by outpatient internal medicine physicians, the GM2 service is staffed by geriatricians and hospitalists, and the GM3 service is staffed by only hospitalists. The GMA service is led by junior resident physicians, and the GMB service is led by senior resident physicians. We measured utilization using days of therapy (DOT) per 1,000 patient days (PD). In a secondary analysis based on antibiotic spectrum, we used average DOT per 1,000 PD., Results: Teaching services prescribed more antibiotics than nonteaching services (671.6 vs 575.2 DOT per 1,000 PD; P < .0001). Junior resident-led services used more antibiotics than senior resident-led services (740.9 vs 510.0 DOT per 1,000 PD; P < .0001). Overall, antibiotic prescribing was numerically similar between various attending physician backgrounds. A secondary analysis showed that GM services prescribed more broad-spectrum, anti-MRSA, and anti-pseudomonal antibiotics than the hospitalist services. GM junior resident-led services prescribed more broad-spectrum, anti-MRSA, and antipseudomonal therapy compared to their senior counterparts., Conclusions: Antibiotics were prescribed at a significantly higher rate in services associated with trainees than those without. Services led by a junior resident physician prescribed antibiotics at a significantly higher rate than services led by a senior resident. Interventions to reduce unnecessary antibiotic exposure should be targeted toward resident physicians, especially junior trainees.

The Centers for Medicare & Medicaid Services (CMS) Hospital Readmissions Reduction Program (HRRP) penalizes hospitals having excess inpatient rehospitalizations within 30 days of index inpatient stays for targeted conditions. Observation hospitalizations are increasing in frequency and may clinically resemble inpatient hospitalizations, yet HRRP excludes observation in index and 30-day rehospitalization counts. Using 100% 2014 Medicare fee-for-service claims and CMS's 30-day rehospitalization methodology, we modeled how observation hospitalizations impact HRRP metrics when counted as index (denominator) and 30-day (numerator) rehospitalizations. Of 3,806,772 index hospitalizations for HRRP conditions, 418,923 (11%) were observation; 18% (155,553/876,033) of rehospitalizations were invisible to HRRP due to observation hospitalization as index (34%; 63,740/188,430), 30-day outcome (53%; 100,343/188,430), or both (13%; 24,347/188,430). By ignoring observation hospitalizations as index and 30-day events, nearly one of five HRRP rehospitalizations is missed. Policymakers might consider this an opportunity to address broad challenges of the two-tiered observation and inpatient hospital billing distinction.

Objective: Thirty-day hospital readmissions in systemic lupus erythematosus (SLE) approach proportions in Medicare-reported conditions including heart failure (HF). We compared adjusted 30-day readmission and mortality among SLE, HF, and general Medicare to assess predictors informing readmission prevention., Methods: This database study used a 20% sample of all US Medicare 2014 adult hospitalizations to compare risk of 30-day readmission and mortality among admissions with SLE, HF, and neither per discharge diagnoses (if both SLE and HF, classified as SLE). Inclusion required live discharge and ≥12 months of Medicare A/B before admission to assess baseline covariates including patient, geographic, and hospital factors. Analysis used observed and predicted probabilities, and multivariable GEE models clustered by patient to report adjusted risk ratios (ARRs) of 30-day readmission and mortality., Results: SLE admissions (n=10,868) were younger, predominantly female, more likely to be Black, disabled, and have Medicaid or end-stage renal disease (ESRD). Observed 30-day readmissions of 24% were identical for SLE and HF (p = 0.6), and higher than other Medicare (16%, p < 0.001). Both SLE and HF had elevated readmission risk (ARR 1.08, (95% CI (1.04, 1.13)); 1.11, (1.09, 1.13)). SLE readmissions were higher for Black (30%) versus White (21%) populations, and highest in ages 18-33 (39%) and ESRD (37%). Admissions of Black patients with SLE from least disadvantaged neighborhoods had highest 30-day mortality (9% versus 3% White)., Conclusion: Thirty-day SLE readmissions rivaled HF at 24%. Readmission prevention programs should engage young, ESRD patients with SLE and examine potential causal gaps in SLE care and transitions., Competing Interests: Declaration of competing interest CB also receives peer-reviewed institutional grant funding from Independent Grants for Learning and Change (Pfizer) for research unrelated to this study. All other authors declare no conflicts., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Purpose: Physicians can play an important role in shaping health policy. The purpose of this study was to determine characteristics of physicians participating in health policy and barriers and facilitators to their advocacy., Methods: A modified previously validated survey instrument was mailed to physicians affiliated with the University of Wisconsin on October 12, 2018. Three follow-up emails were sent, and the response period closed January 30, 2019. Twenty-eight items were included in the survey tool. Respondents were considered highly engaged if they: (a) reported involvement in predetermined high impact areas, (b) had self-reported weekly or monthly advocacy involvement, or (c) had more than 10% dedicated work time for advocacy., Results: Eight hundred eighty-six of 1,432 physicians responded (61.9%), of which 133 (15.0%) were highly engaged. Highly engaged respondents were more commonly male (57.1%), White (90.2%), of nonsurgical specialties (80.5%), and Democrat (55.6%) or Independent (27.1%). Those not highly engaged were more likely to report "I don't know how to get involved." Less than half of all respondents received any advocacy education, with professional organizations providing the majority of education through conferences and distribution of materials. Only 2.5% of respondents had more than 10% of work time dedicated to health policy., Conclusions: Engagement in health policy exists on a spectrum, but only a small percent of physicians are highly engaged, and very few have dedicated work time for advocacy. Certain demographics predominate the advocacy voice, and health policy training opportunities are lacking., (Copyright© Board of Regents of the University of Wisconsin System and The Medical College of Wisconsin, Inc.)

Objective: To determine whether neighborhood socioeconomic disadvantage, as determined by the Area Deprivation Index, increases 30-day hospital re-observation risk., Participants and Methods: This retrospective study of 20% Medicare fee-for-service beneficiary observation stays from January 1, 2014, to November 30, 2014, included 319,980 stays among 273,308 beneficiaries. We evaluated risk for a 30-day re-observation following an index observation stay for those living in the 15% most disadvantaged compared with the 85% least disadvantaged neighborhoods., Results: Overall, 4.5% (270,600 of 6,080,664) of beneficiaries had index observation stays, which varied by disadvantage (4.3% [232,568 of 5,398,311] in the least disadvantaged 85% compared with 5.6% [38,032 of 682,353] in the most disadvantaged 15%). Patients in the most disadvantaged neighborhoods had a higher 30-day re-observation rate (2857 of 41,975; 6.8%) compared with least disadvantaged neighborhoods (13,543 of 278,005; 4.9%); a 43% increased risk (unadjusted odds ratio [OR], 1.43; 95% CI, 1.31 to 1.55). After adjustment, this risk remained (adjusted OR, 1.13; 95% CI, 1.04 to 1.22). Discharge to a skilled nursing facility reduced 30-day re-observation risk (OR, 0.63; 95% CI, 0.57 to 0.69), whereas index observation length of stay of 4 or more days (3 midnights) conferred increased risk (OR, 1.29; 95% CI, 1.09 to 1.52); those living in disadvantaged neighborhoods were less likely to discharge to skilled nursing facilities and more likely to have long index stays. Beneficiaries with more than one 30-day re-observation (chronic re-observation) had progressively greater disadvantage by number of stays (adjusted incident rate ratio, 1.08; 95% CI, 1.02 to 1.14). Observation prevalence varied nationally., Conclusion: Thirty-day re-observation, especially chronic re-observation, is highly associated with socioeconomic neighborhood disadvantage, even after accounting for factors such as race, disability, and Medicaid eligibility. Beneficiaries least able to pay are potentially most vulnerable to costs from serial re-observations and challenges of Medicare observation policy, which may discourage patients from seeking necessary care., (Copyright © 2020 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

Rarely, if ever, does a national healthcare system experience such rapid and marked change as that seen with the COVID-19 pandemic. In March 2020, the president of the United States declared a national health emergency, enabling the Department of Health & Human Services authority to grant temporary regulatory waivers to facilitate efficient care delivery in a variety of healthcare settings. The statutory requirement that Medicare beneficiaries stay three consecutive inpatient midnights to qualify for post-acute skilled nursing facility coverage is one such waiver. This so-called Three Midnight Rule, dating back to the 1960s as part of the Social Security Act, is being scrutinized more than half a century later given the rise in observation hospital stays. Despite the tragic emergency circumstances prompting waivers, the Centers for Medicare & Medicaid Services and Congress now have a unique opportunity to evaluate potential improvements revealed by COVID-19 regulatory relief and should consider permanent reform of the Three Midnight Rule.

Background/objectives: Observation stays are increasingly common for older adults, yet little is known about the extent to which they are being used as the Centers for Medicare and Medicaid Services (CMS) originally intended for unscheduled or acute problems and whether different types of services are reflected in current billing practices., Design: Observational cohort study., Setting/participants: A total of 867,165 qualifying observation stays identified from 451,408 patients using Medicare fee-for-service claims data from a nationally representative 20% beneficiary sample between January 1, 2014, and November 30, 2014., Measurements: Using descriptive and multivariable logistic model analytic approaches, we evaluated the patient, stay, and hospital characteristics associated with the most common billing practice for observation stays (charge revenue center 0761 exclusively) vs all other practices., Results: Sixty-three percent of observation stays were billed exclusively under the 0761 revenue center and were more likely to be for preplanned chronic conditions consisting of short-term treatments (eg, chemotherapy, radiation therapy, wound care, paracentesis, epidural spinal injection). These stays appeared to be used for recurrent single-day visits, given their strong association with prior visits and a high rate of reobservation (41.4%), with frequent return stays appearing in a 7-day pattern., Conclusion: Nearly two-thirds of observation stays are billed using only the 0761 revenue code and appear to be for prescheduled, repeated treatments-differing substantially from CMS' explicitly stated purpose as a form of care used while a healthcare provider determines whether a patient presenting for unscheduled or acute conditions requires inpatient hospital admission or can be safely discharged. Guidance is needed from CMS to clarify the appropriate role of observation stays, with discussion as to whether episodic single-day, planned treatment for chronic conditions not originating in the emergency department should be billed as observation stays or placed under another mechanism. Subsequent research is needed to understand how the current use of observation stays impact patient out-of-pocket costs. J Am Geriatr Soc 68:1568-1572, 2020., (© 2020 The American Geriatrics Society.)

Observation stays are increasingly common, yet no standard method to identify observation stays in Medicare claims is available, including events with status change. To determine the claims patterns of Medicare observation stays, define comprehensive claims-based methodology for future Medicare observation research and data reporting, and identify policy implications of such definition, we identified potential observation events in a 2014 20% random sample of Medicare beneficiaries with both Part A and B claims and at least 1 acute care stay (1,667,660 events). Observation revenue center (ORC) and Healthcare Common Procedure Coding System codes occurring within 30 days of an inpatient hospitalization were recorded. A total of 125,920 (7.6%) events had an ORC code, and 75,502 (4.5%) were in the outpatient revenue center. Claims patterns varied tremendously, and almost half (47.3%, 59,529) of the ORC codes were associated with an inpatient claim, indicating status change and demonstrating a need for clarity in observation policy. The proposed University of Wisconsin method identified 72,858 of 75,502 (96.5%) events with ORC codes as observation stays, and provides a comprehensive, reproducible methodology., (© 2018 Society of Hospital Medicine.)

Hospitalists and other providers must classify hospitalized patients as inpatient or outpatient, the latter of which includes all observation stays. These orders direct hospital billing and payment, as well as patient out-of-pocket expenses. The Centers for Medicare & Medicaid Services (CMS) audits hospital billing for Medicare beneficiaries, historically through the Recovery Audit program. A recent U.S. Government Accountability Office (GAO) report identified problems in the hospital appeals process of Recovery Audit program audits to which CMS proposed reforms. In the context of the GAO report and CMS's proposed improvements, we conducted a study to describe the time course and process of complex Medicare Part A audits and appeals reaching Level 3 of the 5-level appeals process as of May 1, 2016 at 3 academic medical centers. Of 219 appeals reaching Level 3, 135 had a decision--96 (71.1%) successful for the hospitals. Mean total time since date of service was 1663.3 days, which includes mean days between date of service and audit (560.4) and total days in appeals (891.3). Government contractors were responsible for 70.7% of total appeals time. Overall, government contractors and judges met legislative timeliness deadlines less than half the time (47.7%), with declining compliance at successive levels (discussion, 92.5%; Level 1, 85.4%; Level 2, 38.8%; Level 3, 0%). Most Level 1 and Level 2 decision letters (95.2%) cited time-based (24-hour) criteria for determining inpatient status, despite 70.3% of denied appeals meeting the 24-hour benchmark. These findings suggest that the Medicare appeals system merits process improvement beyond current proposed reforms. Journal of Hospital Medicine 2017;12:251-255., (© 2017 Society of Hospital Medicine.)

Background: Outpatient (observation) and inpatient status determinations for hospitalized Medicare beneficiaries have generated increasing concern for hospitals and patients. Recovery Audit Contractor (RAC) activity alleging improper status, however, has received little attention, and there are conflicting federal and hospital reports of RAC activity and hospital appeals success., Objective: To detail complex Medicare Part A RAC activity., Design, Setting and Patients: Retrospective descriptive study of complex Medicare Part A audits at 3 academic hospitals from 2010 to 2013., Measurements: Complex Part A audits, outcome of audits, and hospital workforce required to manage this process., Results: Of 101,862 inpatient Medicare encounters, RACs audited 8110 (8.0%) encounters, alleged overpayment in 31.3% (2536/8110), and hospitals disputed 91.0% (2309/2536). There was a nearly 3-fold increase in RAC overpayment determinations in 2 years, although the hospitals contested and won a larger percent of cases each year. One-third (645/1935, 33.3%) of settled claims were decided in the discussion period, which are favorable decisions for the hospitals not reported in federal appeals data. Almost half (951/1935, 49.1%) of settled contested cases were withdrawn by the hospitals and rebilled under Medicare Part B to avoid the lengthy (mean 555 [SD 255] days) appeals process. These original inpatient claims are considered improper payments recovered by the RAC. The hospitals also lost appeals (0.9%) by missing a filing deadline, yet there was no reciprocal case concession when the appeals process missed a deadline. No overpayment determinations contested the need for care delivered, rather that care should have been delivered under outpatient, not inpatient, status. The institutions employed an average 5.1 full-time staff in the audits process., Conclusions: These findings suggest a need for RAC reform, including improved transparency in data reporting., (© 2015 Society of Hospital Medicine.)

Outpatient versus inpatient status determinations for hospitalized patients impact how hospitals bill Medicare for hospital services. Medicare policies related to status determinations and the Recovery Audit Contractor (RAC) program charged with postpayment review of such determinations are of increasing concern to hospitals and physicians. We present an overview and discussion of these policies, including the recent 2-midnight rule, the effect on status determinations by the RAC program, and other recent and pertinent legislative and regulatory activity. Finally, we discuss the future direction of Medicare status determination policies and the RAC program, so that physicians and other healthcare providers caring for hospitalized Medicare beneficiaries may better understand these important and dynamic topics., (© 2014 Society of Hospital Medicine.)

Background: Young adults with hypertension have the lowest prevalence of controlled blood pressure compared to middle-aged and older adults. Uncontrolled hypertension, even among young adults, increases future cardiovascular event risk. However, antihypertensive medication initiation is poorly understood among young adults and may be an important intervention point for this group., Objective: The purpose of this study was to compare rates and predictors of antihypertensive medication initiation between young adults and middle-aged and older adults with incident hypertension and regular primary care contact., Design: A retrospective analysis, Participants: Adults ≥ 18 years old (n = 10,022) with incident hypertension and no prior antihypertensive prescription, who received primary care at a large, Midwestern, academic practice from 2008-2011., Main Measures: The primary outcome was time from date of meeting hypertension criteria to antihypertensive medication initiation, or blood pressure normalization without medication. Kaplan-Meier analysis was used to estimate the probability of antihypertensive medication initiation over time. Cox proportional-hazard models (HR; 95% CI) were fit to identify predictors of delays in medication initiation, with a subsequent subpopulation analysis for young adults (18-39 years old)., Key Results: After a mean follow-up of 20 (±13) months, 34% of 18-39 year-olds with hypertension met the endpoint, compared to 44% of 40-59 year-olds and 56% of ≥ 60 year-olds. Adjusting for patient and provider factors, 18-39 year-olds had a 44% slower rate of medication initiation (HR 0.56; 0.47-0.67) than ≥ 60 year-olds. Among young adults, males, patients with mild hypertension, and White patients had a slower rate of medication initiation. Young adults with Medicaid and more clinic visits had faster rates., Conclusions: Even with regular primary care contact and continued elevated blood pressure, young adults had slower rates of antihypertensive medication initiation than middle-aged and older adults. Interventions are needed to address multifactorial barriers contributing to poor hypertension control among young adults.

Background: In response to growing concern over frequency and duration of observation encounters, the Centers for Medicare and Medicaid Services enacted a rules change on October 1, 2013, classifying most hospital encounters of <2 midnights as observation, and those ≥2 midnights as inpatient. However, limited data exist to predict the impact of the new rule., Objective: To answer the following: (1) Will the rule reduce observation encounter frequency? (2) Are short-stay (<2 midnights) inpatient encounters often misclassified observation encounters? (3) Do 2 midnights separate distinct clinical populations, making this rule logical? (4) Do nonclinical factors such as time of day of admission impact classification under the rule?, Design, Setting and Patients: Retrospective descriptive study of all observation and inpatient encounters initiated between January 1, 2012 and February 28, 2013 at a Midwestern academic medical center., Measurements: Demographics, insurance type, and characteristics of hospitalization were abstracted for each encounter., Results: Of 36,193 encounters, 4,769 (13.2%) were observation. Applying the new rules predicted a net loss of 14.9% inpatient stays; for Medicare only, a loss of 7.4%. Less than 2-midnight inpatient and observation stays were different, sharing only 1 of 5 top International Classification of Diseases, 9th Revision (ICD-9) codes, but for encounters classified as observation, 4 of 5 top ICD-9 codes were the same across the length of stay. Observation encounters starting before 8:00 am less commonly spanned 2 midnights (13.6%) than later encounters (31.2%)., Conclusions: The 2-midnight rule adds new challenges to observation and inpatient policy. These findings suggest a need for rules modification., (© 2014 Society of Hospital Medicine.)

Objective: Young adults meeting hypertension diagnostic criteria have a lower prevalence of a hypertension diagnosis than middle-aged and older adults. The purpose of this study was to compare the rates of a new hypertension diagnosis for different age groups and identify predictors of delays in the initial diagnosis among young adults who regularly use primary care., Methods: A 4-year retrospective analysis included 14 970 patients, at least 18 years old, who met clinical criteria for an initial hypertension diagnosis in a large, Midwestern, academic practice from 2008 to 2011. Patients with a previous hypertension diagnosis or prior antihypertensive medication prescription were excluded. The probability of diagnosis at specific time points was estimated by Kaplan-Meier analysis. Cox proportional hazard models (hazard ratio; 95% confidence interval) were fit to identify predictors of delays to an initial diagnosis, with a subsequent subset analysis for young adults (18-39 years old)., Results: After 4 years, 56% of 18-24-year-olds received a diagnosis compared with 62% (25-31-year-olds), 68% (32-39-year-olds), and more than 70% (≥40-year-olds). After adjustment, 18-31-year-olds had a 33% slower rate of receiving a diagnosis (18-24 years hazard ratio 0.66, 0.53-0.83; 25-31 years hazard ratio 0.68, 0.58-0.79) compared with adults at least 60 years. Other predictors of a slower diagnosis rate among young adults were current tobacco use, white ethnicity, and non-English primary language. Young adults with diabetes, higher blood pressures, or a female provider had a faster diagnosis rate., Conclusion: Provider and patient factors are critical determinants of poor hypertension diagnosis rates among young adults with regular primary care use.

Importance: The Centers for Medicare & Medicaid Services (CMS) defines observation status for hospitalized patients as a "well-defined set of specific, clinically appropriate services," usually lasting less than 24 hours, and that in "only rare and exceptional cases" should last more than 48 hours. Although an increasing proportion of observation care occurs on hospital wards, studies of patients with observation status have focused on the efficiency of dedicated units., Objective: To describe inpatient and observation care., Design and Setting: Descriptive study of all inpatient and observation stays between July 1, 2010, and December 31, 2011, at the University of Wisconsin Hospital and Clinics, a 566-bed tertiary academic medical center., Participants: All patients with observation or inpatient stays during the study period., Main Outcomes and Measures: Patient demographics, length of stay, difference between cost and reimbursement per stay, and percentage of patients discharged to skilled nursing facilities., Results: Of 43,853 stays, 4578 (10.4%) were for observation, with 1141 distinct diagnosis codes. Mean observation length of stay was 33.3 hours, with 44.4% of stay durations less than 24 hours and 16.5% more than 48 hours. Observation care had a negative margin per stay (-$331); the inpatient margin per stay was positive (+$2163). Adult general medicine patients accounted for 2404 (52.5%) of all observation stays; 25.4% of the 9453 adult general medicine stays were for observation. The mean length of stay for general medicine observation patients was 41.1 hours, with 32.6% of stay durations less than 24 hours and 26.4% more than 48 hours. Compared with observation patients on other clinical services, adult general medicine had the highest percentage of patients older than 65 years (40.9%), highest percentage female patients (57.9%), highest percentage of patients discharged to skilled nursing facilities (11.6%), and the most negative margin per stay (-$1378)., Conclusions and Relevance: In an academic medical center, observation status for hospitalized patients differed markedly from the CMS definition. Patients had a wide variety of diagnoses; lengths of stay were typically more than 24 hours and often more than 48 hours. The hospital lost money, primarily because reimbursement for general medicine patients was inadequate to cover the costs. It is uncertain what role, if any, observation status for hospitalized patients should have in the era of health care reform.

Background: Novel preventive care opportunities, such as in hospitalized patients, may merit further investigation in an Accountable Care Organization (ACO) model. As 40% of patients with diabetes are undiagnosed, diabetes screening is an urgent public health need. Screening fasting preoperative patients may present an effective means to identify patients who might otherwise remain undiagnosed., Objective: To pilot an inpatient preventive care strategy for diabetes screening that would ascertain prevalence of unrecognized inpatient diabetes (DM) and impaired fasting glucose (IFG), determine reproducibility of preoperative fasting blood glucose (FBG), and establish feasibility of inpatient preventive screening., Design: Prospective observational study., Setting: Large Midwestern academic medical center., Patients: Two hundred seventy-five elective orthopedic patients with a preoperative visit between December 1, 2007 and November 30, 2008. Most patients (96.6%) had seen their primary care provider (PCP) within 12 months, and 100% were insured., Measurements: Medical history was recorded, and hemoglobin A(1C) (Hgb A(1C) ) and FBG were drawn immediately prior to surgery. Patients with preoperative FBG ≥100 mg/dL had FBG drawn 6-8 weeks postoperatively., Results: Twenty-four percent (67/275) of patients had previously unrecognized DM or IFG by virtue of 2 abnormal values. Sixty-four percent of patients with FBG ≥100 mg/dL preoperatively remained elevated at ambulatory follow-up. No patients with new DM or IFG had point-of-care glucose checks ordered or had dysglycemia mentioned on discharge summary., Conclusions: Inpatient undiagnosed DM and IFG is common, even in insured, elective surgery patients with recent primary care visits. Preoperative FBG can be used to screen, but results need to be conveyed to PCPs., (Copyright © 2012 Society of Hospital Medicine.)

Since the identification of APOBEC3G (A3G) as a potent restriction factor of HIV-1, a tremendous amount of effort has led to a broadened understanding of both A3G and the APOBEC3 (A3) family to which it belongs. In spite of the fine-tuned viral counterattack to A3 activity, in the form of the HIV-1 Vif protein, enthusiasm for leveraging the Vif : A3G axis as a point of clinical intervention remains high. In an impressive explosion of information over the last decade, additional A3 family members have been identified as antiviral proteins, mechanistic details of the restrictive capacity of these proteins have been elucidated, structure-function studies have revealed important molecular details of the Vif : A3G interaction, and clinical cohorts have been scrutinized for correlations between A3 expression and function and viral pathogenesis. In the last year, novel and unexpected findings regarding the role of A3G in immunity have refocused efforts on exploring the potential of harnessing the natural power of this immune defense. These most recent reports allude to functions of the A3 proteins that extend beyond their well-characterized designation as restriction factors. The emerging story implicates the A3 family as not only defense proteins, but also as participants in the broader innate immune response.

There has been a rapid advancement of information technology in the area of clinical and population health data management since 2000. However, with the fast growth of electronic medical records (EMRs) and the increasing complexity of information systems, it has become challenging for researchers to effectively access, locate, extract, and analyze information critical to their research. This article introduces an outpatient encounter data framework designed to construct an EMR-based population data repository for diabetes screening research. The outpatient encounter data framework is developed on a hybrid data structure of entity-attribute-value models, dimensional models, and relational models. This design preserves a small number of subject-specific tables essential to key clinical constructs in the data repository. It enables atomic information to be maintained in a transparent and meaningful way to researchers and health care practitioners who need to access data and still achieve the same performance level as conventional data warehouse models. A six-layer information processing strategy is developed to extract and transform EMRs to the research data repository. The data structure also complies with both Health Insurance Portability and Accountability Act regulations and the institutional review board's requirements. Although developed for diabetes screening research, the design of the outpatient encounter data framework is suitable for other types of health service research. It may also provide organizations a tool to improve health care quality and efficiency, consistent with the "meaningful use" objectives of the Health Information Technology for Economic and Clinical Health Act., (© 2011 Diabetes Technology Society.)

The human cytidine deaminase APOBEC3G (A3G) is an innate restriction factor that inhibits human immunodeficiency virus, type 1 (HIV-1) replication. Regulation of A3G gene expression plays an important role in this suppression. Currently, an understanding of the mechanism of this gene regulation is largely unknown. Here, we have identified and characterized a TATA-less core promoter with an NFAT/IRF-4 composite binding site that confers cell type-specific transcriptional regulation. We found that A3G expression is critically dependent on NFATc1/NFATc2 and IRF-4. When either NFATc1 or NFATc2 and IRF-4 were co-expressed, A3G promoter activity was observed in cells that normally lack A3G expression and expression was not detected in the presence of the individual factors. This induced A3G expression allowed normally permissive CEMss cells to adopt a nonpermissive state, able to resist an HIV-1Δvif challenge. This represents the first reporting of manipulating the restrictive state of a cell type via gene regulation. Identification of NFAT and IRF family members as critical regulators of A3G expression offers important insight into the transcriptional control mechanisms that regulate innate immune responses and identifies specific targets for therapeutic intervention aimed at effectively boosting our natural immunity, in the form of a host defensive factor, against HIV-1.

Objectives: To compare the case-finding ability of current national guidelines for screening diabetes mellitus and characterize factors that affect testing practices in an ambulatory population., Patients and Methods: In this retrospective analysis, we reviewed a database of 46,991 nondiabetic patients aged 20 years and older who were seen at a large Midwestern academic physician practice from January 1, 2005, through December 31, 2007. Patients were included in the sample if they were currently being treated by the physician group according to Wisconsin Collaborative for Healthcare Quality criteria. Pregnant patients, diabetic patients, and patients who died during the study years were excluded. The prevalence of patients who met the American Diabetes Association (ADA) and/or US Preventive Services Task Force (USPSTF) criteria for diabetes screening, percentage of these patients screened, and number of new diabetes diagnoses per guideline were evaluated. Screening rates were assessed by number of high-risk factors, primary care specialty, and insurance status., Results: A total of 33,823 (72.0%) of 46,991 patients met either the ADA or the USPSTF screening criteria, and 28,842 (85.3%) of the eligible patients were tested. More patients met the ADA criteria than the 2008 USPSTF criteria (30,790 [65.5%] vs 12,054 [25.6%]), and the 2008 USPSTF guidelines resulted in 460 fewer diagnoses of diabetes (33.1%). By single high-risk factor, prediabetes (15.8%) and polycystic ovarian syndrome (12.6%) produced the highest rates of diagnosis. The number of ADA high-risk factors predicted diabetes, with 6 (23%) of 26 patients with 6 risk factors diagnosed as having diabetes. Uninsured patients were tested significantly less often than insured patients (54.9% vs 85.4%)., Conclusion: Compared with the ADA recommendations, the new USPSTF guidelines result in a lower number of patients eligible for screening and decrease case finding significantly. The number and type of risk factors predict diabetes, and lack of health insurance decreases testing.

Type 2 diabetes has reached epidemic proportions in many parts of the world. The disease is projected to continue to increase and double within the foreseeable future. Dysglycaemia develops in the form of hyperglycaemia, hypoglycaemia and marked glucose variability in critically ill adults whether they are known to have premorbid diabetes or not. Patients with such glucose dysregulation have increased morbidity and mortality. Whether this is secondary to cause and effect from dysglycaemia or is just related to critical illness remains under intense investigation. Identification of intensive care unit (ICU) patients with unrecognised diabetes remains a challenge. Further, there are few data regarding the development of type 2 diabetes in survivors after hospital discharge. This commentary introduces the concept of critical illness-induced dysglycaemia as an umbrella term that includes the spectrum of abnormal glucose homeostasis in the ICU. We outline the need for further studies in the area of glucose regulation and for follow-up of the natural history of abnormal glucose control during ICU admission and beyond.

Perioperative hyperglycemia is a common phenomenon affecting patients both with and without a known prior history of diabetes. Despite an exponential rise in publications and studies of inpatient hyperglycemia over the last decade, many questions still exist as to what defines optimal care of these patients. Initial enthusiasm for tight glycemic control has waned as the unanticipated reality of hypoglycemia and mortality has been realized in some prospective studies. The recent dramatic modification of national practice guidelines to endorse more modest inpatient glycemic targets highlights the dynamic nature of current knowledge as the next decade approaches. This review discusses perioperative hyperglycemia and the categories of patients affected by it. It reviews current recommendations for ambulatory diabetes screening and its importance in preoperative patient care. Finally, it concludes with a review of current practice guidelines, as well as a discussion of future direction and goals for inpatient perioperative glycemic control.

Objective: Hyperglycemia, be it secondary to diabetes, impaired glucose tolerance, impaired fasting glucose, or stress-induced is common in the critically ill. Hyperglycemia and glucose variability in intensive care unit (ICU) patients has some experts calling for routine administration of intensive insulin therapy to normalize glucose levels in hyperglycemic patients. Others, however, have raised concerns over the optimal glucose level, the accuracy of measurements, the resources required to attain tight glycemic control (TGC), and the impact of TGC across the heterogeneous ICU population in patients with diabetes, previously undiagnosed diabetes or stress-induced hyperglycemia. Increased variability in glucose levels during critical illness and the therapeutic intervention thereof have recently been reported to have a deleterious impact on survival, particularly in nondiabetic hyperglycemic patients. The incidence of hypoglycemia (<40 mg/dL or 2.2 mmol) associated with TGC is reported to be as high as 18.7%, by Van den Berghe in a medical ICU, although application of various approaches and computer-based algorithms may improve this. The impact of hypoglycemia, particularly in patients with septic shock and those with neurologic compromise, warrants further evaluation. This review briefly discusses the epidemiology of hyperglycemia in the acutely ill and glucose metabolism in the critically ill. It comments on present limitations in glucose monitoring, outlines current glucose management approaches in the critically ill, and the transition from the ICU to the intermediate care unit or ward. It closes with comment on future developments in glycemic care of the critically ill., Methods: The awareness of the potential deleterious impact of hyperglycemia was heightened after Van den Berghe et al presented their prospective trial in 2001. Therefore, source data were obtained from PubMed and Cochrane Analysis searches of the medical literature, with emphasis on the time period after 2000. Recent meta-analyses were reviewed, expert editorial opinion collated, and the Web site of the Normoglycemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation Trial investigated., Summary and Conclusions: Hyperglycemia develops commonly in the critically ill and impacts outcome in patients with diabetes but, even more so, in patients with stress-induced hyperglycemia. Despite calls for TGC by various experts and regulatory agencies, supporting data remain somewhat incomplete and conflicting. A recently completed large international study, Normoglycemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation, should provide information to further guide best practice. This concise review interprets the current state of adult glycemic management guidelines to provide a template for care as new information becomes available.