Inpatient Discharge Research Articles

Temporal trends in initiation of oral anticoagulants and stroke-free survival among elderly and very elderly patients with new onset atrial fibrillation - a 20-year perspective.

Abstract Background Oral anticoagulants (OACs) significantly reduce the risk of ischemic stroke in patients with atrial fibrillation (AF). However, evidence regarding efficacy of OACs are lacking in the very elderly patients. Aim To examine temporal trends in initiation of OACs and five-year stroke-free survival in the very elderly patients with new onset AF over a time span of 20 years. Methods From the Danish nationwide registries, we identified patients ≥ 65 years of age with new onset AF from 1999 to 2018. The index date was defined as the day of AF diagnosis for outpatients and as the day of discharge for inpatients. Patients with a prescription of OAC, history of bleeding events, or history of stroke/transient ischemic attack prior to index were excluded. Patients were divided into two age groups based on their age at index: 1) 65-84 years (elderly); and 2) ≥ 85 years (very elderly). Patients were further divided into four calendar year groups from 1999-2018, based on the year of inclusion. We investigated the initiation of OACs and calculated the absolute five-year probability of stroke-free survival in both age groups. Results We included 167,122 patients with new-onset AF between January 1st, 1999, and December 31st, 2018. Among the patients, 23.1 % were aged 85 years or older, 48 % were male and 80.5 % had a CHA2DS2-VASc score equivalent to 2 or higher for men and 3 or higher for women. Initiation of OACs increased in both age groups after the guideline implementation of DOACs in 2010 (Figure 1). In the elderly age group, the proportion of patients receiving OACs increased from 50% in 2010 to almost 90% in 2018. In the very elderly age group, the proportion increased from 25% in 2010 to almost 90% in 2018. The probability of the five-year stroke-free survival improved by approximately 15% from 1999 to 2018 in the elderly age group, with no significant changes in the very elderly age group. Conclusion The proportion of elderly AF patients receiving OAC has increased markedly in the last 20 years. Even so, stroke-free survival remains the same among the very elderly patients.Five-year stroke-free survival

Trends in anti-diabetic medication use, severe hyperglycaemia and severe hypoglycaemia among American Indian and Alaska Native Peoples, 2009-2013.

Type 2 diabetes (T2D) and its complications disproportionally affect American Indian and Alaska Native (AI/AN) peoples. Prescribing decisions for anti-diabetic medications are complicated and require balancing medication benefits, costs and side effects. Little is known about trends in anti-diabetic medication use as well as acute diabetes complications among AI/AN adults. Here, we examined patterns and trends in anti-diabetic medication use and rates of hospital admissions or emergency department (ED) visits due to severe hypoglycaemia and hyperglycaemia among AI/AN adults with T2D. We conducted a retrospective analysis of Indian Health Service (IHS) Improving Health Care Delivery Data Project. A total of 39 183 AI/AN adults aged ≥18 years with T2D who used IHS or Tribal health services during any of the fiscal years (FYs) 2009-2013 were included. Utilization rates of each class of anti-diabetic medications and rates of severe hypoglycaemia and severe hyperglycaemia in emergency room and/or inpatient discharge diagnoses were calculated for each year. Longitudinal statistical models were fitted to examine time trends of anti-diabetic medication use and complications. During 2009-2013, use of metformin (56.0%-60.5%), insulin (31.4%-35.9%) and dipeptidyl peptidase-4 inhibitors (1.4%-9.0%) increased, whereas the use of sulfonylureas (40.3%-32.9%) and thiazolidinediones (TZDs, 31.6%-8.8%) decreased significantly. Trends in severe hypoglycaemia (1.6%-0.8%) and severe hyperglycaemia (2.0%-1.6%) declined gradually. There were significant changes in the utilization of different anti-diabetic medication classes during 2009-2013 among AI/AN adults with T2D. Concurrently, there were significant reductions in severe hypoglycaemia and severe hyperglycaemia.

The role of prescribed controlled substance acquisition as potential triggers of opioid overdose: A case-crossover study

Background: The role of prescribed opioids and benzodiazepines as risk factors for opioid overdose are well established, however, their role as potential ‘triggers’ of opioid overdose has not been formally investigated. Objective: The objective of this study was to evaluate the temporal relationship between controlled substance acquisition and opioid overdose utilizing a case-crossover design. Methods: This study utilized Arkansas statewide data between 2014 and 2020. Prescription Drug Monitoring Program (PDMP) data were used to assess controlled substance acquisition and fatal and non-fatal opioid overdose were assessed using linked death certificate, inpatient discharge, and emergency department (ED) data. All persons residing in Arkansas who experienced an opioid overdose or had ≥ 1 Arkansas PDMP prescription fill(s) were included. Controlled substance characteristics were described in the 7 days prior to overdose and compared to the controlled substance characteristics in 11 weekly (7-day) control windows prior to overdose. Binary controlled substance variables indicating presence or absence of: any controlled substance, opioid, benzodiazepine, stimulant, sedative, carisoprodol, opioid and benzodiazepine, and opioid and benzodiazepine and carisoprodol were created. Additionally, total morphine milliequivalents were calculated for each time window. Conditional logistic regression models were estimated and adjusted odds ratios for each controlled substance characteristic after accounting for other controlled substance, and prior overdose, and clinical characteristics derived from ED and inpatient data are reported. Results: A total of 2,818,135 individuals with ≥1 Arkansas PDMP record(s) (45.10 % male; 39.94 mean age) were included, of which 28,670 (1.02 %) experienced ≥1 opioid overdose. There was a significant association between opioid overdose and the acquisition of a controlled substance (OR=1.785; p < 0.001), opioid (OR=1.992; p < 0.001), benzodiazepine (OR=1.379; p < 0.001), carisoprodol (OR=1.744; p < 0.001), opioid and benzodiazepine (OR=2.203; p < 0.001), and opioid and benzodiazepine and carisoprodol (OR=2.503; p < 0.001), in the 7 days prior to an opioid overdose event. Conclusion: Controlled substance prescription acquisition, particularly opioids in combination with carisoprodol and/or benzodiazepines, are potential triggers of opioid overdose.

Disparities in neurosurgical care: Using length of stay to evaluate efficiency of care in New York City hospitals

Objective: We sought to analyze public and private hospital patient cohorts in New York City (NYC) to assess differences in hospital access and outcomes from 2009-2022.Methods: Inpatient neurosurgical discharges, as determined by APR-DRG codes, from 2009-2022 were aggregated for seven NYC hospitals, four private and three public, via the Statewide Planning and Research Cooperative System (SPARCS). Statistical analyses (Z-tests) were performed in Python.Results: 325,351 patients were identified, 223,361 private and 101,990 public. Private hospitals had lower high-severity to low-severity and higher high-mortality to low-mortality risk ratios relative to public hospitals (p &lt; .001). Public hospitals treated a higher proportion of stroke and trauma (p &lt; .001). Average length of stay (LOS) was shorter at private hospitals compared to public (5.3 vs. 7.1 days, p &lt; .001). Statistical significance remained when stratifying for illness severity and elective versus non-elective surgery status. Interestingly, cranial trauma cases were associated with a longer LOS in private hospitals relative to public (7.9 vs. 5.7 days, p &lt; .001).Conclusions: While many factors influence outcomes in private versus public hospitals, LOS can mark the efficiency of care. LOS was shorter at private hospitals in all instances except with cranial trauma. Care efficiency is important for hospital reimbursement, which can directly impact available resources for patient care. These findings emphasize the need to further analyze patient accessibility to neurosurgical care at private hospitals and the resources necessary to support neurosurgical practices within public hospitals.

Women undergoing primary total hip arthroplasty (THA) for hip fracture have lower in-hospital mortality compared to men

IntroductionWe evaluated the association of patient sex with in-patient mortality and discharge disposition after primary total hip arthroplasty (THA) for hip fracture in the U.S. MethodsUsing the 2016-2019 U.S. National Inpatient Sample (NIS), we calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) of the association of sex with post-procedural complications and in-hospital mortality after primary THA for hip fracture, adjusting for demographics, social determinants of health, medical comorbidity, hospital characteristics, and post-procedural complications. ResultsThere were 400,930 primary THA procedure hospitalizations for hip fracture in the 2016-2019 NIS data. In multivariable-adjusted analysis, compared to males, female sex was associated with lower in-hospital mortality following THA for hip fracture (aOR 0.65, 95% CI 0.58 - 0.74; p < 0.001). Multivariable-adjusted analysis showed that female sex was associated with higher odds of discharge to a non-home destination after a THA for hip fracture (aOR 1.14, 95% CI 1.07 - 1.22; p < 0.001). ConclusionsFemale sex was associated with lower in-hospital mortality after a THA for hip fracture. Further insights into the protective mechanisms that mediate this lower mortality in women undergoing a THA for hip fracture are needed to achieve better outcomes for men in the future.

The Impact of Lean Management Implementation on Inpatient Discharge Prescription Services at Pertamina Central Hospital

Background: The lead time of inpatient discharge prescription services affects the overall discharge process. In 2022, lead times at Pertamina Central Hospital's Inpatient Pharmacy varied, requiring continuous efforts to meet target times and avoid disrupting discharge plans. This research aims to evaluate the impact of lean management on reducing these lead times. Methods: The study employs a combined quantitative and qualitative research design with an action research approach. It was conducted from March 4 to May 8, 2023, involving pharmacists, pharmaceutical technical personnel, compounders, and pharmacy couriers. Data analysis included measuring lead time changes pre- and post-lean management implementation and narrative analysis of qualitative findings. Results: After implementing lean management, the lead time for non-compounded prescriptions decreased from 42.6 to 25 minutes, with value added ratio (VAR) increasing from 18.9% to 27%. For compounded prescriptions, lead time dropped from 67 to 45.7 minutes, and VAR rose from 25.2% to 37.9%. The Mann-Whitney U test confirmed the significant difference in average lead time. Conclusion: The implementation of lean management in inpatient discharge prescription services has been proven to improve lead time and increase process efficiency (VAR).

Development and validation of a machine learning model integrated with the clinical workflow for inpatient discharge date prediction.

Discharge date prediction plays a crucial role in healthcare management, enabling efficient resource allocation and patient care planning. Accurate estimation of the discharge date can optimize hospital operations and facilitate better patient outcomes. In this study, we employed a systematic approach to develop a discharge date prediction model. We collaborated closely with clinical experts to identify relevant data elements that contribute to the prediction accuracy. Feature engineering was used to extract predictive features from both structured and unstructured data sources. XGBoost, a powerful machine learning algorithm, was employed for the prediction task. Furthermore, the developed model was seamlessly integrated into a widely used Electronic Medical Record (EMR) system, ensuring practical usability. The model achieved a performance surpassing baseline estimates by up to 35.68% in the F1-score. Post-deployment, the model demonstrated operational value by aligning with MS GMLOS and contributing to an 18.96% reduction in excess hospital days. Our findings highlight the effectiveness and potential value of the developed discharge date prediction model in clinical practice. By improving the accuracy of discharge date estimations, the model has the potential to enhance healthcare resource management and patient care planning. Additional research endeavors should prioritize the evaluation of the model's long-term applicability across diverse scenarios and the comprehensive analysis of its influence on patient outcomes.

Teiripe sa Bhaile: ICPOP Early Supported Discharge for Frailty

Abstract Background Older adults and particularly older adults with frailty are high users of acute hospital care which results in overall higher hospital costs and reduced functional independence. Early supported discharge (ESD) was found to have a statistically significant impact in reducing length of stay in older adults admitted for medical reasons. This poster outlines the rehabilitation pathway developed by an ICPOP team to provide early supported discharge for frail older inpatients with SMART rehab goals. Methods Suitable patients are identified and assessed prior to discharge from the acute ward. Each patient receives a comprehensive geriatric assessment in their own home. All patients receive at least 2 hours of therapy per week until they have reached their goals. Standardised outcome measures including Functional Assessment Measure (FIM/FAM) and EQ5D5L are captured for each patient. Clients are discharged once they have reached their goals or are at their new functional baseline. Results 52 patients have been seen on this pathway since 2023. Hip fracture was the most common reason for referral, followed by Falls. Average length of stay on service was 40 days. Average wait time to first assessment was 1.7 days, highlighting the responsiveness of the service. 4 patients seen in 2024 live alone, indicating this service is also appropriate for patients who don’t have supports readily available in the home. FIM/FAM scores increased from 148 to 160 on average- Indicating more functional independence. Conclusion This ICPOP Rehabilitation pathway offers a safe, person-centred alternative to traditional inpatient rehabilitation. Readmission rates post discharge were low indicating the programme's safety. Given the large number of hospital bed saved without compromising functional outcomes for the patients, the ICPOP team is working on expanding this pathway.

Building capacity and capability for quality improvement: insights from a nascent regional health system

ObjectivesQuality improvement (QI) is critical in facilitating advancements in patient outcomes, system efficiency and professional growth. This paper aimed to elucidate the underlying rationale and framework guiding JurongHealth Campus (JHC),...

Trends in Cannabis-related Hospitalizations in Arizona from 2016-2021 and Associations with Mental Health-related Hospitalizations.

To examine trends in cannabis-related hospital visits in Arizona from 2016-2021 and associations with hospital visits for a mental health condition. Data were emergency department and inpatient hospital discharge records from all Arizona licensed hospitals from 2016-2021. Records comprised 18,758,614 hospital visits. Cannabis-related visits were defined by International Classification of Diseases (ICD) diagnostic code for cannabis use (unspecified use, abuse, dependence) or poisoning. Mental health visits were defined by ICD diagnostic codes for mental health conditions. The rate of cannabis-related hospital visits increased from 1,301.50 per 100k visits in 2016 to 1,565.54 per 100k visits in 2021 - a 20% increase. The increase was larger for visits by adolescents and older adults ages 65+ -- 63.94% and 84.45%, respectively. Cannabis-related visits were 7.75 (95% CI: 7.69, 7.81) times as likely as visits unrelated to cannabis to have a mental health condition as the primary diagnosis from 2016-2021, and were 2.32 (95% CI: 2.30, 2.34) times as likely after adjustment for covariates, including alcohol and other substance-related diagnoses. The association between cannabis-related visits and mental health-related visits increased each year, particularly for older adults ages 65+. The rate of cannabis-related hospital visits is increasing, as is the cannabis-related risk of a hospital visit for a mental health condition. The increases are especially pronounced among hospital visits by older adults (ages 65+), highlighting the need for prevention and intervention in this under-recognized at-risk group.

Identifying Patients at Risk of Not Receiving Timely Community Mental Health Follow-Up After Psychiatric Hospitalisation Using Linked Routinely Collected Data.

Timely receipt of community-based follow-up after inpatient psychiatric discharge is associated with positive outcomes. This retrospective cross-sectional study aimed to identify socio-demographic and clinical factors associated with failure to receive community mental health follow-up within 7 days. Routinely collected hospital and community mental health data were linked for all inpatients discharged with a mental health condition in 2017 to 2019 in a local health district in New South Wales, Australia. Of the 8780 patients discharged, 28% (n = 2466) did not have 7-day follow-up. Males were significantly more likely than females to fail follow-up. Adjusted logistic regression analyses revealed that both male and female patients aged 65 years and older were generally less likely to fail follow-up than those who were younger; conversely, patients referred to a hospital by a law enforcement agency and those who left the hospital at their own risk were more likely to fail follow-up. Other factors significantly related to failure to follow-up varied between the sexes. Improved outcomes may be achieved by enhancing the transition from inpatient to outpatient care through targeted strategies aimed at patients who are more likely to disengage with care.

Cognitive Performance is Associated With 1-Year Participation and Life Satisfaction Outcomes: A Traumatic Brain Injury Model Systems Study.

To determine, in persons with traumatic brain injury (TBI), the association between cognitive change after inpatient rehabilitation discharge and 1-year participation and life satisfaction outcomes. Secondary analysis of prospectively collected TBI Model Systems (TBIMS) data. Inpatient rehabilitation and community. 499 individuals with TBI requiring inpatient rehabilitation who completed the Brief Test of Adult Cognition by Telephone (BTACT) at inpatient rehabilitation discharge (ie, baseline) and 1-year postinjury. Participation Assessment with Recombined Tools-Objective (PART-O) and Satisfaction with Life Scale (SWLS). Of 2,840 TBIMS participants with baseline BTACT, 499met inclusion criteria (mean [standard deviation] age=45 [19] years; 72% male). Change in BTACT executive function (EF) was not associated with 1-year participation (PART-O; β=0.087, 95% CI [-0.004, 0.178], P =.061) when it was the sole model predictor. Change in BTACT episodic memory (EM) was associated with 1-year participation (β=0.096, [0.007, 0.184], P =.035), but not after adjusting for demographic, clinical, and functional status covariates (β=0.067, 95% CI [-0.010, 0.145], P =.089). Change in BTACT EF was not associated with life satisfaction total scores (SWLS) when it was the sole model predictor (β=0.091, 95% CI [-0.001, 0.182], P =.0503). Change in BTACT EM was associated with 1-year life satisfaction before (β=0.114, 95% CI [0.025, 0.202], P =.012) and after adjusting for covariates (β=0.103, [0.014, 0.191], P =.023). In secondary analyses, change in BTACT EF was associated with PART-O Social Relations and Out and About subdomains before (Social Relations: β=0.127, 95% CI [0.036, 0.217], P =.006; Out and About: β=0.141, 95% CI [0.051, 0.232], P =.002) and after (Social Relations: β=0.168, 95% CI [0.072, 0.265], P <.002; Out and About: β=0.156, 95% CI [0.061, 0.252], P <.002) adjusting for functional status and further adjusting for covariates (Social Relations: β=0.127, 95% CI [0.040, 0.214], P =.004; Out and About: β=0.136, 95% CI [0.043, 0.229], P =.004). However, only the models adjusting for functional status remained significant after multiple comparison correction (ie, Bonferroni-adjusted alpha level=0.002). EF gains during the first year after TBI were related to 1-year social and community participation. Gains in EM were associated with 1-year life satisfaction. These results highlight the potential benefit of cognitive rehabilitation after inpatient rehabilitation discharge and the need for interventions targeting specific cognitive functions that may contribute to participation and life satisfaction after TBI.

Antiseizure Medication Use and Outcomes After Suspected or Confirmed Acute Symptomatic Seizures

Antiseizure medications (ASMs) are frequently prescribed for acute symptomatic seizures and epileptiform abnormalities (EAs; eg, periodic or rhythmic patterns). There are limited data on factors associated with ASM use and their association with outcomes. To determine factors associated with ASM use in patients with confirmed or suspected acute symptomatic seizures undergoing continuous electroencephalography, and to explore the association of ASMs with outcomes. This multicenter cohort study was performed between July 1 and September 30, 2021, at 5 US centers of the Post Acute Symptomatic Seizure Investigation and Outcomes Network. After screening 1717 patients, the study included 1172 hospitalized adults without epilepsy who underwent continuous electroencephalography after witnessed or suspected acute symptomatic seizures. Data analysis was performed from November 14, 2023, to February 2, 2024. ASM treatment (inpatient ASM continuation ≥48 hours). Factors associated with (1) ASM treatment, (2) discharge ASM prescription, and (3) discharge and 3-month Glasgow Outcome Scale score of 4 or 5 were ascertained. A total of 1172 patients (median [IQR] age, 64 [52-75] years; 528 [45%] female) were included. Among them, 285 (24%) had clinical acute symptomatic seizures, 107 (9%) had electrographic seizures, and 364 (31%) had EAs; 532 (45%) received ASM treatment. Among 922 patients alive at discharge, 288 (31%) were prescribed ASMs. The respective frequencies of inpatient ASM treatment and discharge prescription were 82% (233 of 285) and 69% (169 of 246) for patients with clinical acute symptomatic seizures, 96% (103 of 107) and 95% (61 of 64) for electrographic seizures, and 64% (233 of 364) and 48% (128 of 267) for EAs. On multivariable analysis, acute and progressive brain injuries were independently associated with increased odds of inpatient ASM treatment (odds ratio [OR], 3.86 [95% CI, 2.06-7.32] and 8.37 [95% CI, 3.48-20.80], respectively) and discharge prescription (OR, 2.26 [95% CI, 1.04-4.98] and 10.10 [95% CI, 3.94-27.00], respectively). Admission to the neurology or neurosurgery service (OR, 2.56 [95% CI, 1.08-6.18]) or to the neurological intensive care unit (OR, 7.98 [95% CI, 3.49-19.00]) was associated with increased odds of treatment. Acute symptomatic seizures and EAs were significantly associated with increased odds of ASM treatment (OR, 14.30 [95% CI, 8.52-24.90] and 2.30 [95% CI, 1.47-3.61], respectively) and discharge prescription (OR, 12.60 [95% CI, 7.37-22.00] and 1.72 [95% CI, 1.00-2.97], respectively). ASM treatment was not associated with outcomes at discharge (OR, 0.96 [95% CI, 0.61-1.52]) or at 3 months after initial presentation (OR, 1.26 [95% CI, 0.78-2.04]). Among 623 patients alive and with complete data at 3 months after discharge, 30 (5%) had postdischarge seizures, 187 (30%) were receiving ASMs, and 202 (32%) had all-cause readmissions. This study suggests that etiology and electrographic findings are associated with ASM treatment for acute symptomatic seizures and EAs; ASM treatment was not associated with functional outcomes. Comparative effectiveness studies are indicated to identify which patients may benefit from ASMs and to determine the optimal treatment duration.

Assessing the Association of Healthcare Resource Utilization and Patient-Reported Outcomes on Shared Decision-Making among Multimorbid Individuals.

Shared decision-making (SDM) is an essential component of patient-centered healthcare and disease management. However, the association of SDM with healthcare resource utilization and patient-reported outcomes among multimorbid individuals is not well understood. This study sought to evaluate the association of SDM with healthcare resource utilization and patient-reported outcomes among United States (US) adults with multimorbidity. Data were collected from the 2020 Medical Expenditure Panel Survey (MEPS) for this cross-sectional study. Eligible participants were US adults with two or more comorbidities. The predictor variable was SDM (optimal versus not optimal). The outcome variables were healthcare resource utilization and patient-reported outcomes. Logistic regression models, adjusted for demographic characteristics, assessed associations with SDM for each healthcare resource utilization and patient-reported outcome variable. The analysis maintained the complex survey data and was weighted to produce nationally representative estimates. Individuals who reported optimal SDM in adjusted analyses utilized more healthcare resources compared to those who reported not optimal SDM. Individuals with optimal SDM had more than one outpatient visit (odds ratio OR = 1.23, 95% CI = 1.03-1.47), emergency room visit (OR = 1.55, 95% CI = 1.17-2.06), and inpatient discharge (OR = 1.44, 95% CI = 1.05-1.96). Additionally, these individuals had higher odds of reporting limitations in their ability to work or engage in other activities due to their physical health in the past four weeks (OR = 1.27, 95% CI = 1.01-1.60). This study indicated evidence of increased healthcare resource utilization among patients who participate in SDM with their providers, which should be explored in future studies.

The Role of Structured Goals of Care Discussions in Critically Ill Thoracic Surgery Patients.

Objective: The American College of Surgeons recommends structured family meetings (FM) for high-risk surgical patients. We hypothesized that goals of care discussions (GOCD) in the form of an FM, multidisciplinary family meeting (MDFM), or palliative care consult (PCC) would be underutilized in imminently dying thoracic surgery patients. Methods: A retrospective chart review at a tertiary academic medical center was performed on all inpatient mortalities and discharges to hospice after any thoracic surgery operation. The utilization of GOCDs was compared between the 2 groups. Secondary outcomes were length-of-stay, comatose status and ventilator dependence during initial GOCD, and timing of code status change. Results: In total, 56 patients met inclusion criteria: 44 of 56 (78.6%) died and 12 of 56 (21.4%) were discharged to hospice. Most patients had a FM (79.5% mortality vs 100% hospice, P = .29) and few had an MDFM (25.0% mortality vs 25.0% hospice, P = 1.00). Patients discharged to hospice were more likely to have a PCC (66.7% vs 31.2%, P = .03) and less likely to be comatose (16.7% vs 59.1%, P = .009) or ventilator dependent during initial GOCD (16.7% vs 70.5%, P = .001). Among patients who died and were DNR-CC (do not resuscitate-comfort care; 37 of 44), 75.7% died the same day of code status change and 67.6% died within 48 h of initial GOCD. Discussion: Although FMs were common, MDFMs were infrequent. Patients discharged to hospice were more likely to have a PCC. Most deaths occurred shortly after initial GOCD and most code status changes occurred on day-of-death. This data suggest an opportunity to improve GOCDs in critically ill thoracic surgery patients.

PM2.5 chemical components are associated with in-hospital case fatality among acute myocardial infarction patients in China

Recent studies have linked the cardiovascular events with the exposure to ambient fine particulate matter (PM2.5); however, the impact of PM2.5 chemical components on acute myocardial infarction (AMI) case fatality remains poorly understood. To address this gap, we included 178,340 hospitalised patients with AMI utilising the inpatient discharge database from Sichuan, Shanxi, Guangxi, and Guangdong, China spanning 2014–2019. We evaluated exposure to PM2.5 and its components (black carbon (BC), organic matter (OM), sulphate (SO42−), nitrate (NO3−), and ammonium (NH4+)) using bilinear interpolation based on the patient’s residential address. We used mixed-effects logistic regression models to investigate the associations of PM2.5 and its five components with in-hospital AMI case fatality. Per interquartile range (IQR) increment in short-term exposure (7-day average) to overall PM2.5 (odds ratio (OR): 1.086, 95 % confidence interval (CI): 1.045–1.128), SO42−(1.063, 1.024–1.104), BC (1.055, 1.023–1.089), OM (1.052, 1.019–1.086, and NO3− (1.045, 1.003–1.089) were significantly associated with high risk of in-hospital AMI case fatality. The ORs per IQR increment in long-term exposure (annual average) were 1.323 (95 % CI: 1.255–1.394) for PM2.5, followed by BC (1.271, 1.210–1.335), OM (1.243, 1.188–1.300), SO42− (1.212, 1.157–1.270), NO3− (1.116, 1.075–1.159), and NH4+ (1.068, 1.031–1.106). Our study suggests that PM2.5 chemical components might be important risk factors for in-hospital AMI case fatality, highlighting the importance of targeted reduction of PM2.5 emissions, particularly BC, OM, and SO42−.

Benchmarking commercial healthcare claims data.

Commercial healthcare claims datasets represent a sample of the US population that is biased along socioeconomic/demographic lines; depending on the target population of interest, results derived from these datasets may not generalize. Rigorous comparisons of claims-derived results to ground-truth data that quantify this bias are lacking. (1) To quantify the extent and variation of the bias associated with commercial healthcare claims data with respect to different target populations; (2) To evaluate how socioeconomic/demographic factors may explain the magnitude of the bias. This is a retrospective observational study. Healthcare claims data come from the Merative™ MarketScan® Commercial Database; reference data for comparison come from the State Inpatient Databases (SID) and the US Census. We considered three target populations, aged 18-64 years: (1) all Americans; (2) Americans with health insurance; (3) Americans with commercial health insurance. We analyzed inpatient discharge records of patients aged 18-64 years, occurring between 01/01/2019 to 12/31/2019 in five states: California, Iowa, Maryland, Massachusetts, and New Jersey. We estimated rates of the 250 most common inpatient procedures, using claims data and using reference data for each target population, and we compared the two estimates. The average rate of inpatient discharges per 100 person-years was 5.39 in the claims data (95% CI: [5.37, 5.40]) and 7.003 (95% CI: [7.002, 7.004]) in the reference data for all Americans, corresponding to a 23.1% underestimate from claims. We found large variation in the extent of relative bias across inpatient procedures, including 22.8% of procedures that were underestimated by more than a factor of 2. There was a significant relationship between socioeconomic/demographic factors and the magnitude of bias: procedures that disproportionately occur in disadvantaged neighborhoods were more underestimated in claims data (R 2 51.6%, p < 0.001). When the target population was restricted to commercially insured Americans, the bias decreased substantially (3.2% of procedures were biased by more than factor of 2), but some variation across procedures remained. Naïve use of healthcare claims data to derive estimates for the underlying US population can be severely biased. The extent of bias is at least partially explained by neighborhood-level socioeconomic factors.

Emergency department utilization among adults with epilepsy: A multi-state cross-sectional analysis, 2010–2019

ObjectiveWe described patterns and trends in ED use among adults with epilepsy in the United States. MethodsUtilizing inpatient and ED discharge data from seven states, we conducted a cross-sectional analysis to identify adult ED visits diagnosed with epilepsy or seizures from 2010 to 2019. Using ED visit counts and estimates of state-level epilepsy prevalence, we calculated ED visit rates overall and by payer, condition, and year. ResultsOur data captured 304,935 ED visits with epilepsy as a primary or secondary diagnosis in 2019. Across the seven states, visit rates ranged between 366 and 726 per 1000 and were higher than rates for adults without epilepsy in all states but one. ED visit rates were highest among Medicare and Medicaid beneficiaries (vs commercial or self-pay). Adults with epilepsy were more likely to be admitted as inpatients. Visits for nervous system disorders were 6.3–8.2 times higher among people with epilepsy, and visits for mental health conditions were 1.2–2.6 times higher. Increases in ED visit rates from 2010 to 2019 among people with epilepsy exceeded increases among adults without by 6.0–27.3 percentage points. ConclusionAdults with epilepsy visit the ED frequently and visit rates have been increasing over time. These results underscore the importance of identifying factors contributing to ED use and designing tailored interventions to improve ambulatory care quality.

Outcomes Following Surgical and Nonsurgical Treatment for Uncomplicated Appendicitis in Older Adults

The optimal treatment of acute uncomplicated appendicitis in older adults with frailty is not defined. To examine outcomes associated with treatment strategies for acute uncomplicated appendicitis in older adults with or without frailty. This retrospective cohort study used National Inpatient Sample data from adults 65 years or older with a diagnosis of uncomplicated appendicitis from January 1, 2016, to December 31, 2018. Data were analyzed from July to November 2023. The National Inpatient Sample database approximates a 20% stratified sample of all inpatient hospital discharges in the US. Study patients were categorized into 3 groups: nonoperative management, immediate operation, and delayed operation. Clinical outcomes, including hospital complications and in-hospital mortality, were assessed among older adults with and without frailty, identified using an adapted claims-based frailty index. A total of 24 320 patients were identified (median [IQR] age, 72 [68-79] years; 50.9% female). Of those, 7290 (30.0%) were categorized as having frailty. Overall, in-hospital mortality was 1.4%, and the incidence of complications was 37.3%. In patients with frailty, multivariable analysis showed both nonoperative management (odds ratio [OR], 2.89; 95% CI, 1.40-5.98; P < .001) and delayed appendectomy (OR, 3.80; 95% CI, 1.72-8.43; P < .001) were associated with increased in-hospital mortality compared with immediate appendectomy. In patients without frailty, immediate appendectomy was associated with increased hospital complications compared with nonoperative management (OR, 0.77; 95% CI, 0.64-0.94; P = .009) and lower hospital complications compared with delayed appendectomy (OR, 2.05; 95% CI, 1.41-3.00; P < .001). In this cohort study of older adults with uncomplicated appendicitis, outcomes differed among management strategies based on frailty status. Routine frailty assessments incorporated in the care of older adult patients may help guide discussions for shared decision-making.

Neighborhood-Level Social Determinants of Health and Adolescent Mental Health

ObjectiveMental health diagnoses among adolescents are increasing in prevalence. Existing literature considers associations between individual-level social determinants of health (SDOH) and adolescent mental health. Neighborhood-level SDOH can have a substantial impact on health. This paper examines associations between neighborhood-level SDOH and mental health diagnoses of anxiety, depression, and suicidal ideation among hospitalized adolescents. MethodsWe used 2018 and 2019 Texas Inpatient Discharge Public Use Data Files linked to the zip-code level Child Opportunity Index 2.0, a composite measure of subdomains which characterize neighborhood-level SDOH, to examine rates of mental health diagnoses and associations with patient characteristics across opportunity level quintiles. ResultsThe sample included 50,011 adolescents ages 10–19 admitted to the hospital with the mental health diagnoses anxiety, depression, and/or suicide. Most had a single diagnosis; anxiety (12.9%), depression (37.5%), or suicide (13.0%). Hospitalized adolescents 10–14 years old were a plurality (44.2%) of the sample. Most adolescents were White (64.2%) and non-Hispanic (67.4%) and lived in rural areas (29.6%). Adolescents from racial minority populations and those in rural communities with mental health diagnoses had lower opportunity-levels. Higher opportunity levels were associated with greater odds of having an anxiety or suicide diagnosis while a depression diagnosis was associated with a lower opportunity-level. ConclusionsThere are significant differences in adolescent mental health diagnoses associated with neighborhood opportunity-level. While all adolescents can benefit from mental health education, screening, and early interventions, additional resources tailored to neighborhood-level opportunity may prove a more meaningful way to improve population-level mental health outcomes.