Unnecessary Resource Utilization Research Articles

Identifying predictors of malingering in psychiatric emergency room settings and evaluating intervention strategies to reduce unnecessary er utilization. Literature review

Malingering in psychiatric emergency room (ER) settings presents a significant challenge, leading to unnecessary healthcare resource utilization and potentially compromising patient care. This literature review examines predictors of malingering and evaluates intervention strategies aimed at reducing unnecessary ER visits. The review identifies a range of predictors, including demographic factors, clinical presentations, historical elements, and motivational aspects, that may indicate malingering. Tools such as structured interviews, validity scales, and behavioral observations are highlighted for their effectiveness in identifying malingering behaviors in psychiatric ERs. The review also explores various intervention strategies, including early identification protocols, staff training programs, and collaborative care models, which have shown promise in mitigating the impact of malingering on healthcare systems. These strategies are important in ensuring that resources are appropriately allocated while maintaining high standards of patient care. However, ethical considerations, particularly the balance between detecting malingering and providing genuine patient care, remain critical challenges. Addressing these issues is essential for improving the efficiency and effectiveness of emergency psychiatric care and ensuring that patients receive appropriate and timely care.

Economic Evaluation of a Novel Lung Cancer Diagnostic in a Population of Patients with a Positive Low-Dose Computed Tomography Result

Background: Early detection of lung cancer is crucial for improving patient outcomes. Although advances in diagnostic technologies have significantly enhanced the ability to identify lung cancer in earlier stages, there are still limitations. The alarming rate of false positives has resulted in unnecessary utilization of medical resources and increased risk of adverse events from invasive procedures. Consequently, there is a critical need for advanced diagnostics after an initial low-dose computed tomography (LDCT) scan. Objectives: This study evaluated the potential cost savings for US payers of CyPath® Lung, a novel diagnostic tool utilizing flow cytometry and machine learning for the early detection of lung cancer, in patients with positive LDCT scans with indeterminate pulmonary nodules (IPNs) ranging from 6 to 29 mm. Methods: A cost offset model was developed to evaluate the net expected savings associated with the use of CyPath® Lung relative to the current standard of care for individuals whose IPNs range from 6 to 29 mm. Perspectives from both Medicare and private payers in a US setting are included, with a 1-year time horizon. Cost calculations included procedure expenses, complication costs, and diagnostic assessment costs per patient. Primary outcomes of this analysis include cost savings per cohort and cost savings per patient. Results: Our analysis showed positive cost savings from a private payer’s perspective, with expected savings of $895 202 311 per cohort and $6460 per patient, across all patients. Scenario analysis resulted in cost savings of $890 829 889 per cohort, and $6429 per patient. Similarly, savings of $378 689 020 per cohort or $2733 per patient were yielded for Medicare payers, across all patients. In addition, scenario analysis accounting for false negative patients from a Medicare payer perspective yielded savings of $376 902 203 per cohort and $2720 per patient. Discussion: The results suggest substantial cost savings, primarily due to reductions in follow-up diagnostic assessments and procedures, and highlight the importance of accurate diagnostic tools in reducing unnecessary healthcare expenditures. Conclusion: CyPath® Lung utilization yields savings for private and Medicare payers relative to the current standard of care in a US setting for individuals with 6 to 20 mm IPNs.

Association of a Novel Electronic Form for Preoperative Cardiac Risk Assessment With Reduction in Cardiac Consultations and Testing: Retrospective Cohort Study.

Preoperative cardiac risk assessment is an integral part of preoperative evaluation; however, there is significant variation among providers, leading to inappropriate referrals for cardiology consultation or excessive low-value cardiac testing. We implemented a novel electronic medical record (EMR) form in our preoperative clinics to decrease variation. This study aimed to investigate the impact of the EMR form on the preoperative utilization of cardiology consultation and cardiac diagnostic testing (echocardiograms, stress tests, and cardiac catheterization) and evaluate postoperative outcomes. A retrospective cohort study was conducted. Patients who underwent outpatient preoperative evaluation prior to an elective surgery over 2 years were divided into 2 cohorts: from July 1, 2021, to June 30, 2022 (pre-EMR form implementation), and from July 1, 2022, to June 30, 2023 (post-EMR form implementation). Demographics, comorbidities, resource utilization, and surgical characteristics were analyzed. Propensity score matching was used to adjust for differences between the 2 cohorts. The primary outcomes were the utilization of preoperative cardiology consultation, cardiac testing, and 30-day postoperative major adverse cardiac events (MACE). A total of 25,484 patients met the inclusion criteria. Propensity score matching yielded 11,645 well-matched pairs. The post-EMR form, matched cohort had lower cardiology consultation (pre-EMR form: n=2698, 23.2% vs post-EMR form: n=2088, 17.9%; P<.001) and echocardiogram (pre-EMR form: n=808, 6.9% vs post-EMR form: n=591, 5.1%; P<.001) utilization. There were no significant differences in the 30-day postoperative outcomes, including MACE (all P>.05). While patients with "possible indications" for cardiology consultation had higher MACE rates, the consultations did not reduce MACE risk. Most algorithm end points, except for active cardiac conditions, had MACE rates <1%. In this cohort study, preoperative cardiac risk assessment using a novel EMR form was associated with a significant decrease in cardiology consultation and testing utilization, with no adverse impact on postoperative outcomes. Adopting this approach may assist perioperative medicine clinicians and anesthesiologists in efficiently decreasing unnecessary preoperative resource utilization without compromising patient safety or quality of care.

Maryland's Global Budget Revenue Program and Equitable Access to Esophagectomy for Esophageal Cancer

IntroductionWe evaluated equity in access to esophagectomy after Maryland's 2014 “Global Budget Revenue” (GBR) implementation, which equalizes reimbursement rates irrespective of patient insurance and employs an annual hospital revenue ceiling to incentivize reductions in unnecessary resource utilization. We hypothesized that more traditionally underserved patients would undergo surgical treatment for esophageal cancers after GBR. MethodsUsing Maryland's Health Services Cost Review Commission database, we retrospectively analyzed patient demographics, insurance statuses, inflation-adjusted hospital charges, postoperative outcomes, and discharge dispositions for esophagectomies for neoplasms between 2012 and 2018. ResultsFour hundred eighty six patients were included: 22.0% (107) pre-GBR and 78.0% (379) post-GBR. The proportion of African-American patients increased post-GBR (5.6% versus 12.9%, P = 0.035) and subsequently exhibited year-over-year increases. While not statistically significant, the proportion of Medicaid patients increased from 4.7% to 10.0% (P = 0.085). The post-GBR era also saw patients from 10 new counties, six of which were in Maryland's bottom half of counties ranked by median household income, receive operative esophageal cancer treatment without losing representation from pre-GBR counties. Patient age and sex were comparable between the two groups, and there were no significant differences in mortality or 30-day readmissions. Inflation-adjusted hospital charges and length of hospital stay did not appreciably change post-GBR, including after adjusting for age, comorbidities, and surgical approach. ConclusionsGBR increased access to esophagectomy for African-Americans, those insured by Medicaid, and those from lower socioeconomic status counties. Contrary to prior studies of outpatient and emergency room settings, we found the GBR program's goal of reduction of resource utilization and cost were not apparent in this complex surgical population.

The Value of Routine Radiography in the Nonoperative Treatment of Metatarsal Fractures: A Retrospective Cohort Study

Although widely used in follow-up treatment protocols, the added value of routine radiographs to clinical decision-making in nonoperative treatment of patients with metatarsal fractures is unclear. This retrospective cohort study aimed to determine whether routine follow-up radiographs contributed to changes in treatment strategies in nonoperative treatment of patients with a metatarsal fracture. Adult (aged ≥ 18 years) patients who received nonoperative follow-up treatment for a metatarsal fracture between May first, 2020 and May second, 2022 were included. All relevant data were extracted from patient records. Radiographs without a documented clinical indication were classified as routine. Outcomes included changes in treatment strategies based on routine radiographs during follow-up treatment and secondarily, changes in treatment strategy based on clinically indicated radiographs. A total of 168 patients were included, with 135 single and 33 multiple metatarsal fractures. During follow-up, 223 radiographs were performed, of which 154 (69%) were routine and 69 (31%) were on clinical indication. Of routine radiographs, 9 (6%) led to a change in treatment which only included additional imaging. No switch to operative treatment or prolonging of immobilization was observed based on routine radiographs. Of clinically indicated radiographs, 16 (23%) led to a change of treatment, including prolonged immobilization (n = 2), additional follow-up appointments (n = 1) and additional imaging (n = 12). Our results show routinely performed radiographs seldom affect treatment strategies in nonoperative treatment of metatarsal fractures, indicating minimal added value to clinical decision-making. Omitting routine radiographs from treatment protocols may contribute to the reduction of unnecessary healthcare resource utilization in clinical practice.

Comparing Outcomes Between Direct and ED Admissions for Neonatal Hyperbilirubinemia.

Pediatric direct admissions (DA) have multiple benefits including reduced emergency department (ED) volumes, greater patient and provider satisfaction, and decreased costs without compromising patient safety. We sought to compare resource utilization and outcomes between patients with a primary diagnosis of neonatal hyperbilirubinemia directly admitted with those admitted from the ED. Single-center, retrospective study at a large, academic, free-standing children's hospital (2017-2021). Patients were between 24 hours and 14 days old with a gestational age of ≥35 weeks, admitted with a primary diagnosis of neonatal hyperbilirubinemia. Outcomes included length of stay (LOS), time to clinical care, resource utilization, NICU transfer, and 7-day readmission for phototherapy. A total of 1098 patients were included, with 276 (25.1%) ED admissions and 822 (74.9%) DAs. DAs experienced a shorter median time to bilirubin level collection (1.9 vs 2.1 hours, P = .003), received less intravenous fluids (8.9% vs 51.4%, P < .001), had less bilirubin levels collected (median of 3.0 vs 4.0, P < .001), received phototherapy sooner (median of 0.8 vs 4.2 hours, P < .001), and had a shorter LOS (median of 21 vs 23 hours, P = .002). One patient who was directly admitted required transfer to the NICU. No differences were observed in the 7-day readmission rates for phototherapy. Directly admitting patients for the management of neonatal hyperbilirubinemia is a preferred alternative to ED admission as our study demonstrated that DAs had a shorter time to clinical care, shorter LOS, and less unnecessary resource utilization with no difference in 7-day readmissions for phototherapy.

Abstract PO1-08-04: Universal Germline Genetic Testing for Breast Cancer: Implementation in a Rural Practice and Impact on Shared Decision Making

Abstract Background: Prior work from our group has shown a high rate of familial breast cancer (BC) among rural BC patients (pts), with 33% reporting &amp;gt; 1 first-degree family members with BC and 55% meeting NCCN germline genetic testing (GGT) criteria (Shelton CH et al. NC Med. J; 2022). In 2018, we increased GGT to include all BC pts and observed: 1) many pts were out-of-criteria per NCCN guidelines but had actionable pathogenic germline variants (PGVs) and 2) knowledge of GGT factored significantly into shared decision making by providers and patients, including for positive and negative results. Beginning in 2019, concurrent with the recommendation from the American Society of Breast Surgeons, we expanded this model of universal GGT to an IRB-approved study to measure the impact of prospective testing on shared decision-making. Herein we report the real-world implementation of universal GGT for patients with BC and genetics-informed treatment decision-making in a rural community practice. Methods: From 2019-2022 all BC pts at a small, rural community hospital were offered GGT. Demographics, clinical features, and GGT results were collected along with clinician-reported clinical recommendations for treatment based on GGT results. Descriptive statistics and two-tailed Fisher’s exact test were employed and significance was set at p&amp;lt; 0.05. Results: 210 BC pts were offered GGT and 192 (91%) underwent testing [97% female, 95% non-Hispanic White, mean age at diagnosis of 62, 75% Stage I], with all but 7 pts completing GGT before primary treatment decisions. 104 (54%) of patients were in-criteria (IC) and 88 (46%) out-of-criteria (OOC) with NCCN GGT guidelines. PGVs were identified in 25 pts (13%) and 15 genes, most commonly BRCA1/2 (5 pts), PALB2 (3), monoallelic MUTYH (3) and ATM, BARD1, CHEK2 (2 pts each). PGV frequencies were 15% in IC and 11% in OOC patients (p=0.495). 46 (24%) pts had only a variant of uncertain significance (VUS) results. 70% of patients had &amp;gt; 1 clinical management change based on their GGT results. Changes in breast surgery, uptake of risk-reducing bilateral salpingo-oophorectomy, surveillance and clinical follow-up were significantly higher in patients with PGV compared to those with VUS/negative results (p &amp;lt; 0.0001). Compared to those with negative results, patients with PGVs in BRCA1 and BRCA2 were significantly more likely to undergo bilateral mastectomy (BLM) while those with PGVs in other genes or with VUS were not significantly more likely to elect for BLM than those with negative results. Clinicians reported that return of GGT reinforced their recommendation for 73/138 (53%) of patients who underwent breast-conserving therapy. GGT results aided in radiation therapy strategy for 54% of pts, most often resulting in dose de-escalation (accelerated fractionation) for negative/VUS pts (Table). Conclusions: Universal GGT for patients with BC was successfully implemented in a rural community practice with &amp;gt;90% uptake. Treatment was enhanced in those with clinically actionable PGVs and de-escalated in those without PGVs. Universal GGT for patients with BC is feasible to implement as the standard of practice within rural populations, enabling optimization of clinical care to patients’ genetic profile and may reduce unnecessary healthcare resource utilization. Universal Germline Genetic Testing for Breast Cancer: Implementation in a Rural Practice and Impact on Shared Decision Making Changes in Radiation Therapy Strategy based on GGT Citation Format: Charles Shelton, Sarah Nielsen, Antonio Ruiz, Lauren Shelton, Karen Freas, Sarah Poll, Brandie Heald, Daniel Pineda-Alvarez, Edward Esplin, Rachel Ellsworth, Hannah Montgomery. Universal Germline Genetic Testing for Breast Cancer: Implementation in a Rural Practice and Impact on Shared Decision Making [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-08-04.

Two‐step attribute reduction for AIoT networks

AbstractThe evolution of Artificial Intelligence of Things (AIoT) pushes connectivity from human‐to‐things and things‐to‐things, to AI‐to‐things, has resulted in more complex physical networks and logical associations. This has driven the demand for Internet of Things (IoT) devices with powerful edge data processing capabilities, leading to exponential growth in device quantity and data generation. However, conventional data preprocessing methods, such as data compression and encoding, often require edge devices to allocate computational resources for decoding. Additionally, some lossy compression methods, like JPEG, may result in the loss of important information, which has negative impact on the AI training. To address these challenges, this paper proposes a two‐step attribute reduction approach, targeting devices and dimensions, to reduce the massive amount of data in the AIoT network while avoiding unnecessary utilization of edge device resources for decoding. The device‐oriented and dimension‐oriented attribute reductions identify important devices and dimensions, respectively, to mitigate the multimodal interference caused by the large‐scale devices in the AIoT network and the curse of dimensionality associated with high‐dimensional AIoT data. Numerical results and analysis show that this approach effectively eliminates redundant devices and numerous dimensions in the AIoT network while maintaining the basic data correlation.

Evaluation of atrial fibrillation using wearable device signals and home blood pressure data in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) Study: A Subgroup Analysis (MIPACT-AFib).

The rising adoption of wearable technology increases the potential to identify arrhythmias. However, specificity of these notifications is poorly defined and may cause anxiety and unnecessary resource utilization. Herein, we report results of a follow-up screening protocol for incident atrial fibrillation/flutter (AF) within a large observational digital health study. The MIPACT Study enrolled 6,765 adult patients who were provided an Apple Watch and blood pressure (BP) monitors. From March to July 2019, participants were asked to contact the study team for any irregular heart rate (HR) notification. They were assessed using structured questionnaires and asked to provide 6 Apple Watch EKGs. Those with arrhythmias or non-diagnostic EKGs were sent 7-day monitors. The EHR was reviewed after 3 years to determine if participants developed arrhythmias. 86 participants received notifications and met inclusion criteria. Mean age was 50.5 (SD 16.9) years, and 46 (53.3%) were female. Of 76 participants assessed by the study team, 32 (42.1%) reported anxiety surrounding notifications. Of 59 participants who sent at least 1 EKG, 52 (88.1%) were in sinus rhythm, 3 (5.1%) AF, 2 (3.4%) indeterminate, and 2 (3.4%) sinus bradycardia. Cardiac monitor demonstrated AF in 2 of 3 participants with AF on Apple Watch EKGs. 2 contacted their PCPs and were diagnosed with AF. In total, 5 cases of AF were diagnosed with 1 additional case identified during EHR review. Wearable devices produce alarms that can frequently be anxiety provoking. Research is needed to determine the implications of these alarms and appropriate follow-up.

Abstract 18420: Appropriateness and Cost Analysis of Adult Inpatient Transthoracic Echocardiograms in a Community Hospital

Introduction: Although inpatient transthoracic echocardiograms (TTEs) are important for guiding patient management, their overuse could be a concern leading to delayed discharges, unnecessary burden on hospital staff, and increased hospital costs. We analyzed the appropriateness, benefits, cost expenditure and unnecessary burden of TTE testing. Methods: A retrospective cohort analysis of a subset of patients undergoing TTEs in 2022 from a community hospital was performed. Appropriateness of use criteria (AUC) in accordance with American Society of Echocardiography and alteration in medical management was evaluated by 3 independent reviewers. Hospital cost analysis was performed based on median TTE cost ($682), yearly total adult TTEs performed (n=4,636), AUC criteria, and alteration in management under Maryland all-payer insurance model. Results: In 234 TTEs matched by age, gender, and race, AUC was not met in 32.5% of patients. Most TTEs were indicated for LV function assessment and ACS (Figure). Change in management was significantly higher in patients who met vs. not meeting AUC (54 vs. 11%, p&lt;0.001). In patients meeting AUC, men had a higher change in management compared to women (61 vs. 46%, p = 0.05). No significant differences were found in the percentage of patients who benefitted from inpatient TTE by subgroups based on indications, except for cardiac trauma. Inappropriate TTE testing led to a yearly loss of approximately $313,000 in hospital revenue and an additional loss of $150,000/year for every 5% of patients who meet AUC with no alteration in medical management. Conclusion: In this community hospital analysis, nearly one-third of adult inpatient TTEs were obtained outside the recommendations of established guidelines. Strategies to improve adherence to ASE guidelines and patient selection for TTE testing are warranted to reduce unnecessary resource utilization and healthcare costs.

Comparison of ANN and LR models for predicting Carbapenem-resistant Klebsiella pneumoniae isolates from a southern province of China's RNSS data

Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a serious threat to public health due to its limited treatment options and high mortality rate. This study aims to identify the risk factors of carbapenem resistance in patients with K. pneumoniae isolates and develop CRKP prediction models using logistic regression (LR) and artificial neural network (ANN) methods. We retrospectively analysed the data of 49,774 patients with Klebsiella pneumoniae isolates from a regional nosocomial infection surveillance system (RNSS) between 2018 and 2021. We performed logistic regression analyses to determine the independent predictors for CRKP. We then built and evaluated LR and ANN models based on these predictors using calibration curves, ROC curves, and decision curve analysis (DCA). We also applied the Synthetic Minority Over-Sampling Technique (SMOTE) to balance the data of CRKP and non-CRKP groups. The LR model showed good discrimination and calibration in both training and validation sets, with areas under the ROC curve (AUROC) of 0.824 and 0.825, respectively. The DCA indicated that the LR model had clinical usefulness for decision making. The ANN model outperformed the LR model both in the training set and validation set. The SMOTE technique improved the performance of both models for CRKP detection in training set, but not in the validation set. We developed and validated LR and ANN models for predicting CRKP based on RNSS data. Both models were feasible and reliable for CRKP inference and could potentially assist clinicians in selecting appropriate empirical antibiotics and reducing unnecessary medical resource utilization.

A Personalized Risk Model for Azacitidine Outcome in Myelodysplastic Syndrome and Other Myeloid Neoplasms Identified by Machine Learning Model Utilizing Real-World Data.

Azacitidine is an approved therapy for higher-risk myelodysplastic syndrome (MDS). However, only 30-40% patients respond to azacitidine, and the responses may take up to six cycles to become evident. Delayed responses and the myelosuppressive effects of azacitidine make it challenging to predict which patients will benefit. This is further compounded by a lack of uniform prognostic tools to identify patients at risk of early treatment failure. Hence, we performed a retrospective analysis of 273 consecutive azacytidine-treated patients. The median overall survival was 16.25 months with only 9% alive at 5 years. By using pre-treatment variables incorporated into a random forest machine learning model, we successfully identified those patients unlikely to benefit from azacytidine upfront (7.99 vs. 22.8 months, p < 0.0001). This model also identified those who required significantly more hospitalizations and transfusion support. Notably, it accurately predicted survival outcomes, outperforming the existing prognostic scoring system. By integrating somatic mutations, we further refined the model and identified three distinct risk groups with significant differences in survival (5.6 vs. 10.5 vs. 43.5 months, p < 0.0001). These real-world findings emphasize the urgent need for personalized prediction tools tailored to hypomethylating agents, reducing unnecessary complications and resource utilization in MDS treatment.

A Better Way to Care for Long Term Care (LTC) residents in Times of Medical Urgency: Improving Acute Care transfers for LTC Residents.

Background: Prior to the pandemic, every day approximately 28 long term care (LTC) residents were transferred to an emergency department (ED) in Alberta. This was placing increasing strain on healthcare resources and potentially negatively impacting the health and wellness of residents (e.g., exposure to iatrogenic harms). Many residents’ conditions could be managed within LTC if appropriate supports were provided. Poor communication between LTC and EDs can also lead to long ED lengths of stay, unnecessary resource utilization, sub-optimal health outcomes, and exposure to iatrogenic harms for LTC residents. Two INTERACT® tools (tools for early identification of acute medical issues) and a new care and referral pathway were implemented to help identify and address changes in health status among LTC residents sooner, improve communication between LTC and ED providers, and reduce unnecessary ED transfers. Methods: Between October 2019 and April 2022, 40 LTC homes and 4 EDs within the Calgary zone implemented the standardized LTC-to-ED care and referral pathway supported by a centralized telephone advice and transfer system for healthcare providers, community paramedics, and two INTERACT® tools (Stop and Watch for healthcare aides; Change in Condition Cards for nursing). Using a randomized stepped-wedge design, the pathway was implemented within 9 cohorts of (4-5) LTC facilities every 3 months, supported by an implementation coach. Three-hour train the trainer implementation sessions were conducted in-person or online with over 325 health practitioners in the enrolled LTC homes using strategies adapted to consider local context and barriers, as well as considering pandemic-related challenges. Evaluation Methods: Evaluation of the intervention involved both qualitative and quantitative methods. The primary study outcome is change in transfers from LTC to ED; secondary (quantitative) outcomes include hospital admissions, utilization of the centralized telephone advice and transfer system, and community paramedic visits. Analysis of these quantitative outcomes utilized negative binomial regression to estimate the incident rate with 95% confidence intervals (per 1000 residents), while adjusting for the different cohorts. The quantitative evaluation also included an economic analysis to determine potential cost savings. Interviews with healthcare providers were conducted to provide context to their experience with the intervention and ways it can be improved. These interviews will be interpreted with the involvement of members of our project resident and family advisory council. Results: Quantitative results demonstrate a reduction in the LTC-to-ED transfer rate [1.70 (95%CI 1.61-1.79) post-intervention) vs 1.91 (95%CI 1.84-2.00) pre-intervention], along with reduction in hospital admission rates [0.94 (95%CI 0.88-1.00) vs 1.08 (95%CI 1.03-1.14)]. There was an increase in utilization of the centralized telephone advice and transfer system [0.18 (95%CI 0.16-0.22) vs. 0.13 (95%CI 0.11-0.16)], but no increase in the number of community paramedic visits [2.05 (95%CI 1.94-2.16) vs 2.50 (95%CI 2.39-2.61)]. Cost and qualitative outcome data is pending. Advice and Lessons Learned: LTC staff education and use of early warning tools for identifying a change in resident health status (INTERACT® tools) and/or utilization of a centralized telephone advice and transfer system may have played a role in reducing ED transfers. We did not observe the expected relationship between community paramedic visits and reduced LTC-to-ED transfers, possibly as a result of the pandemic-related facility outbreak restrictions. Teams should tailor implementation sessions and materials to site specific needs and contexts to help address their unique barriers and facilitators. Partnerships with key stakeholders across the care continuum are essential to ensure adequate support and effective uptake and sustainability of the mutli-faceted change intervention.

A78 BILIARY STENT USE IN ERCP: A QUALITY ASSURANCE STUDY ASSESSING ADHERENCE TO CLINICAL GUIDELINES AND COST OUTCOMES

Abstract Background A perceived increase in the use of biliary stents during endoscopic retrograde cholangiopancreatography (ERCP) was observed by our nursing team leader and brought to the attention of the Director of Endoscopy. Purpose To assess a) biliary stent utilization during ERCP, b) the adherence for stent placement based on published guidelines, and c) the associated cost. Method A chart review of all consecutive patients that underwent ERCP for one year (January 2020 to 2021) at the University of Alberta Hospital (UAH) was performed. The need for biliary stent placement was assessed independently by two blinded reviewers and compared with published guidelines. Costs were calculated using Alberta Health Services fee codes. Result(s) A total of 598 patients (316 F) with mean age of 60±19 years (range 3-99 years) underwent 842 ERCPs. Clinical indications for the initial ERCP were common bile duct (CBD) stones (376, 63%), malignant stricture (84, 14%), benign stricture (49, 8%), bile leak (27, 5%), stent removal (15, 3%), and others (47, 8%). Of the 244 patients that had a follow-up ERCP, the most common indications were stent removal (126, 52%), stent replacement (61, 25%), stent placement (28, 11%), and stone extraction (8, 3%). A total of 296 biliary stents were inserted, of which 223 stents (114 plastic, 109 metal) were inserted during the first ERCP (223/598, 37%) and 73 stents (43 plastic, 30 metal) during follow-up ERCP (73/244, 30%). Of the 296 stents, 79 (27%) were inserted for indications not in accordance with published guidelines (63/223 initial ERCP, and 16/73 follow-up ERCP, kappa=0.62). Most of these were placed in CBD stone cases (61/63 initial ERCP, 6/16 follow-up ERCP). In the subgroup of 376 patients with CBD stones, 61 (16%) underwent stent placement not in accordance with published guidelines. The added cost of such stent insertions and follow-up ERCPs for stent removal was $130,000. Conclusion(s) Stent insertion not in accordance with published guidelines was identified in some patients with CBD stones presenting for ERCP. To reduce unnecessary follow-up procedures and healthcare resource utilization, ERCP stent insertion education based on published guidelines, as well as regular practice audit and feedback are required. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

Utilization of palliative care resource remains low, consuming potentially avoidable hospital admissions in stage IV non-small cell lung cancer: a community-based retrospective review

PurposeEarly referral of patients with stage IV non-small cell lung cancer (NSCLC) to outpatient palliative care has been shown to increase survival and reduce unnecessary healthcare resource utilization. We aimed to determine outpatient palliative care referral rate and subsequent resource utilization in patients with stage IV NSCLC in a multistate, community-based hospital network and identify rates and reasons for admissions within a local healthcare system of Washington State.MethodsA retrospective chart review of a multistate hospital network and a local healthcare system. Patients were identified using ICD billing codes. In the multistate network, 2844 patients diagnosed with stage IV NSCLC between January 1, 2013, and March 1, 2018, were reviewed. In the state healthcare system, 283 patients between August 2014 and June 2017 were reviewed.ResultsReferral for outpatient palliative care was low: 8% (217/2844) in the multistate network and 11% (32/283) in the local healthcare system. Early outpatient palliative care (6%, 10/156) was associated with a lower proportion of patients admitted into the intensive care unit in the last 30 days of life compared to no outpatient palliative care (15%, 399/2627; p = 0.003). Outpatient palliative care referral was associated with improved overall survival in Kaplan Meier survival analysis. Within the local system, 51% (104/204) of admissions could have been managed in outpatient setting, and of the patients admitted in the last 30 days of life, 59% (87/147) experienced in-hospital deaths.ConclusionWe identified underutilization of outpatient palliative care services within stage IV NSCLC patients. Many patients with NSCLC experience hospitalization the last month of life and in-hospital death.

Distribution of acute appendicitis care in children: A statewide assessment of the surgeons and facilities providing surgical care

BackgroundPediatric appendicitis is managed by general and pediatric surgeons at both children’s hospitals and non-children’s hospitals. A statewide assessment of surgeons and facilities providing appendicitis care was performed to identify factors associated with location of surgical care. MethodsChildren aged <18 years undergoing appendectomy for appendicitis in Wisconsin from 2018-2020 were identified through the International Classification of Diseases, 10th revision, and Current Procedural Terminology codes using Wisconsin Hospital Association data. Patient residence and hospital locations were used to determine travel distance, rurality, and neighborhood-level socioeconomic status. ResultsAmong 3,604 children with appendicitis, 36.0% and 12.8% had an appendectomy at 2 major children’s hospitals and 4 other children’s hospitals, respectively, and 51.2% had an appendectomy at 99 non-children’s hospitals. Pediatric surgeons performed 76.1% of appendectomies at children’s hospitals and 2.9% at non-children’s hospitals. Only 32.2% of patients received care at the hospital closest to their homes. Non-children’s hospitals disproportionally cared for older, non-Hispanic White, and privately insured children, those with uncomplicated appendicitis, and those living in rural areas, in mid-socioeconomic status neighborhoods, and greater distances from children’s hospitals (all P < .001). After multivariable adjustment, receipt of care at children’s hospitals was associated with younger age, minority race, complicated appendicitis, shorter distance to children’s hospitals, and urban residence. ConclusionOver half of surgical care for pediatric appendicitis occurred at non-children’s hospitals, especially among older children and those living in rural areas far from children’s hospitals. Future work is necessary to determine which children benefit most from care at children’s hospitals and which can safely receive care at non-children’s hospitals to avoid unnecessary time and resource utilization associated with travel to children’s hospitals.

Development of a predictive model for emergency room utilization and unanticipated hospital admission in patients receiving cancer treatment for solid tumor malignancies.

e18674 Background: Unanticipated healthcare resource utilization, in the form of either emergency department utilization (EDUs) or hospital admission (HA), is an indicator of lower quality of cancer care. The objective of this study was to develop a comprehensive predictive model for emergency department utilization and hospital admission (HA) for patients with solid tumors who received chemotherapy within 30 days. Methods: We abstracted electronic health data on oncology encounters from all patients receiving systemic therapy chemotherapy for solid tumors from March 01, 2015 to August 21, 2020. Patients included in the cohort met the following criteria:1) Ages &gt; = 18 years old 2) Diagnosed with any solid tumor (3) Had any oncology treatment plan related to their solid tumor diagnosis; 4) Received at least one chemotherapy during March 01, 2015 through August 21, 2020. We defined a primary composite outcome of emergency visit or unanticipated hospitalization within 30 days after the encounter. Patient information was abstracted. We developed a predictive model for the primary outcome using LASSO logistic regression modeling. To evaluate the model, we calculated the Area Under the Receiver Operator Characteristic (AUROC) and the calibration slope. Results: 12,917 unique patients with 134,641 encounters were included. Of these, 9100 (6.7%) of encounters were ED visits or hospitalizations. 714 patients (5.5%) had at least one ED visit or hospitalization within 30 days of treatment; patients at highest risk for this outcome included those with pancreatic cancer, lung cancer and ovarian/endometrial cancer (9.1%, 7.4% and 6.8% respectively). 38 variables were identified as contributing to the LASSO model. The top predictors, in order of importance, were fever, hypernatremia, hypotension and low albumin. The model’s AUC was 0.83, indicating good model sensitivity to outcome. Conclusions: Approximately 7% of healthcare encounters in patients undergoing treatment for solid malignancies were ED visits or hospitalizations. Identifying patients at highest risk for this outcome may prevent unnecessary resource utilization and optimize patient care during cancer treatment. The model developed in this study demonstrated good sensitivity and could be implemented in clinical practice to allow for preventive outpatient interventions. Work is ongoing to integrate this model into clinical care at our institution.[Table: see text]

OP0169 INPATIENT DISCONTINUATION OF ALLOPURINOL – A QUALITATIVE IMPROVEMENT (QI) INITIATIVE

BackgroundGout is a chronic inflammatory arthritis induced by hyperuricemia and manifested by recurrent acute flares of debilitating joint pain, when left untreated. Allopurinol is often used as long-term urate lowering therapy. Discontinuation of allopurinol leads to worsening flares, disability, poor quality of life, and frequent use of acute care facilities. Recent data revealed that 56% of hospitalized patients had allopurinol discontinued during an episode of acute gout flare, suggesting an unmet need for ongoing provider education (1). Gout flares are 14 times more likely to develop in patients who have allopurinol discontinued upon admission to the hospital (2).ObjectivesWe performed a qualitative analysis of the current rate of discontinuation of allopurinol during hospitalizations at an academic hospital in order to develop a continuous improvement model.MethodsWe leveraged our electronic health records (EHR) to obtain data on gout patients admitted to the university hospital from 2019-2020, with IRB approval. Patients on allopurinol as an active home medication that was discontinued during hospitalization and/or after hospital discharge were included to calculate the rate of discontinuation. Lean thinking methodology with A3 process mapping for root cause analysis (RCA) was utilized. We first identified stakeholders involved in medication reconciliation – nurses and various providers, including trainees, and invited them to participate in an anonymous survey to understand the rationale behind allopurinol discontinuation during hospitalization. Next, we created countermeasures and actionable recommendations that could be implemented at an institutional level.ResultsA total of 2138 patients who were hospitalized had allopurinol listed as an active home medication. Of these, 364 (17%) did not receive allopurinol during hospitalization. Based on the survey data, providers chose to discontinue allopurinol due to the following factors – acute gout flare, renal impairment, gastrointestinal issues, cytopenia, drug interactions, NPO status, and always discontinued the medication. The RCA revealed layers of reasoning at various levels of the medication reconciliation process which impacted the decision-making algorithm. This in turn led to discontinuation during the admission and subsequent omission of allopurinol on the discharge medication list. Several actionable and high-impact recommendations emerged as countermeasures, including – a) pharmacy involvement at admission medication reconciliation, b) creation of a clinical practice guideline, and c) automated routing by EHR to standardized guidelines when allopurinol was discontinued on admission (Figure 1).Figure 1.Countermeasures and Implementation PlanConclusionThere is evidence of inappropriate discontinuation of allopurinol that leads to gout flares in the outpatient setting and unnecessary resource utilization. We developed an implementation plan to mitigate this systematically at an institutional level. Testing these recommendations next to devise a standardized protocol as a continuous improvement strategy may help improve gout care and patient outcomes.

Comparing the Evaluation of Abdominal Pain in Adolescent Females at a Pediatric vs General Emergency Department

BackgroundThe objective of this study was to determine the rates at which gynecologic history and related exams are performed among adolescent females presenting with abdominal pain and whether the rates differ between patients seeking care at a pediatric compared with a general emergency department (ED). MethodsWe conducted a retrospective cohort study of female patients aged 12–21 years who presented to the ED for a chief complaint of abdominal pain at either a single academic children's ED or a single general academic ED during 2016. We examined differences in the rates of gynecologic history and related exams between institutions, before and after adjustment with inverse probability weights. ResultsA total of 837 females met the inclusion criteria for this study, and 627 patients were included in the adjusted analyses. Outcomes more commonly performed at the pediatric institution included documentation of contraception (28% at the general ED vs 43% at the pediatric ED, P < .001), sexually transmitted infection testing (32% at the general ED vs 42% at the pediatric ED, P = .04), and radiologic imaging (46% at the general ED vs 70% at the pediatric ED, P < .001). Outcomes that were more commonly performed at the general ED were pelvic exam (26% at the general ED vs 10% at the pediatric ED, P < .001) and complete blood count draw (67% at the general ED vs 39% at the pediatric ED, P < .001). No differences were observed between institutions in the documentation of menarche or sexual activity, the performance of a pregnancy test or CT scan, or the rate of subsequent ED/urgent care visits in the following year. ConclusionThe rates at which gynecologic history and pelvic examination were performed in adolescent females presenting for abdominal pain at both a general ED and a pediatric ED were low and inconsistent. Providers should have a low threshold for testing for sexually transmitted infections and pregnancy. Pelvic examination and diagnostic lab testing should be performed when indicated in the setting of a clinically appropriate history. These efforts would ensure adequate evaluation of adolescent women and reduce unnecessary health resource utilization.

The prediction of product return rates with ensemble machine learning algorithms

There may not always be actual data available for planning. Predicted data are used especially for future planning. Due to errors in such planning based on prediction, many products enter the reverse logistics network without completing the shelf life. Especially in textile sector, because of fashion, it is the most important point of planning to be able to make accurate estimates in order to avoid unnecessary resource utilization and to provide minimum cost. It is difficult to establish a mathematical model because the prediction problems in real life have multivariate structure and unknown parameters. Most of the studies in literature have been based on time series prediction. But due to changing fashion and demands of consumers, there are significant differences between demand forecasts and real data. So, in the problems with unknown parameters and multivariate structure, Ensemble Machine Learning (EML) methods are preferred recently because they give more accurate results than other prediction methods. Unlike other studies, the product return rate in textile sector has been predicted with the Stacking and Vote algorithms from EML methods in this paper. In this direction, it is aimed to concentrate on the returns of the products sold with the preferences of the customers and to predict the returns more accurately. In this way, the consumer information obtained as a result of the analyzes can provide more accurate planning in avoiding unnecessary production, transportation and storage activities, reducing costs, resource utilization and environmental pollution. In addition, it is one of the main aims of the study to contribute to the literature by determining the parameters that can be used in predicting the return rates. Highest performance results were obtained with Stacking algorithm. The obtained results were given comparatively and the correlation coefficient of 86.07% was reached.