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Yau FFF, Yang Y, Cheng CY, Li CJ, Wang SH, Chiu IM. Risk Factors for Early Return Visits to the Emergency Department in Patients Presenting with Nonspecific Abdominal Pain and the Use of Computed Tomography Scan. Healthcare (Basel) 2021; 9:healthcare9111470. [PMID: 34828517 PMCID: PMC8620581 DOI: 10.3390/healthcare9111470] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 11/17/2022] Open
Abstract
Over a quarter of patients presenting with abdominal pain at emergency departments (EDs) are diagnosed with nonspecific abdominal pain (NSAP) at discharge. This study investigated the risk factors associated with return ED visits in Taiwanese patients with NSAP after discharge. We divided patients into two groups: the study group comprising patients with ED revisits after the index ED visit, and the control group comprising patients without revisits. During the study period, 10,341 patients discharged with the impression of NSAP after ED management. A regression analysis found that older age (OR [95%CI]: 1.007 [1.003–1.011], p = 0.004), male sex (OR [95%CI]: 1.307 [1.036–1.650], p = 0.024), and use of NSAIDs (OR [95%CI]: 1.563 [1.219–2.003], p < 0.001) and opioids (OR [95%CI]: 2.213 [1.643–2.930], p < 0.001) during the index visit were associated with increased return ED visits. Computed tomography (CT) scans (OR [95%CI]: 0.605 [0.390–0.937], p = 0.021) were associated with decreased ED returns, especially for those who were older than 60, who had an underlying disease, or who required pain control during the index ED visit.
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Affiliation(s)
- Fei-Fei Flora Yau
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan; (F.-F.F.Y.); (Y.Y.); (C.-Y.C.); (C.-J.L.)
| | - Ying Yang
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan; (F.-F.F.Y.); (Y.Y.); (C.-Y.C.); (C.-J.L.)
| | - Chi-Yung Cheng
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan; (F.-F.F.Y.); (Y.Y.); (C.-Y.C.); (C.-J.L.)
- Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 804, Taiwan
| | - Chao-Jui Li
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan; (F.-F.F.Y.); (Y.Y.); (C.-Y.C.); (C.-J.L.)
| | - Su-Hung Wang
- Division of Hepatogastroenterology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan 710, Taiwan;
| | - I-Min Chiu
- Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan; (F.-F.F.Y.); (Y.Y.); (C.-Y.C.); (C.-J.L.)
- Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 804, Taiwan
- Correspondence: ; Tel.: +886-978839856
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Kim YJ, Park H. Improving Prediction of High-Cost Health Care Users with Medical Check-Up Data. BIG DATA 2019; 7:163-175. [PMID: 31246499 DOI: 10.1089/big.2018.0096] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Studies found that a small portion of the population spent the majority of health care resources, and they highlighted the importance of predicting high-cost users in the health care management and policy. Most prior research on high-cost user prediction models are based on diagnosis data with additional cost and health care utilization data to improve prediction accuracy. To further improve the prediction of high-cost users, researchers have been testing various new data sources such as self-reported health status data. In this study, we use three categories of medical check-up data, laboratory tests, self-reported medical history, and self-reported health behavior data to build high-cost user prediction models, and to assess the medical check-up features as predictors of high-cost users. Using three data-mining models, logistic regression, random forest, and neural network models, we show that under the diagnosis-based approach, medical check-up data marginally improve diagnosis-based prediction models. Under the cost-based approach, we find that medical check-up data improve cost-based prediction models marginally and medical check-up data can be a viable alternate data source to diagnosis data in predicting high-cost users.
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Affiliation(s)
- Yeonkook J Kim
- College of Business, Chungbuk National University, Cheongju, Republic of Korea
| | - Hayoung Park
- Technology Management, Economics and Policy Graduate Program, Department of Industrial Engineering, Seoul National University, Seoul, Republic of Korea
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Huggins C, Robinson RD, Knowles H, Cizenski J, Mbugua R, Laureano-Phillips J, Schrader CD, Zenarosa NR, Wang H. Large observational study on risks predicting emergency department return visits and associated disposition deviations. Clin Exp Emerg Med 2019; 6:144-151. [PMID: 31036785 PMCID: PMC6614047 DOI: 10.15441/ceem.18.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Accepted: 07/04/2018] [Indexed: 11/23/2022] Open
Abstract
Objective A common emergency department (ED) patient care outcome metric is 72-hour ED return visits (EDRVs). Risks predictive of EDRV vary in different studies. However, risk differences associated with related versus unrelated EDRV and subsequent EDRV disposition deviations (EDRVDD) are rarely addressed. We aim to compare the potential risk patterns predictive of related and unrelated EDRV and further determine those potential risks predictive of EDRVDD. Methods We conducted a large retrospective observational study from September 1, 2015 through June 30, 2016. ED Patient demographic characteristics and clinical metrics were compared among patients of 1) related; 2) unrelated; and 3) no EDRVs. EDRVDD was defined as obvious disposition differences between initial ED visit and return visits. A multivariate multinomial logistic regression was performed to determine the independent risks predictive of EDRV and EDRVDD after adjusting for all confounders. Results A total of 63,990 patients were enrolled; 4.65% were considered related EDRV, and 1.80% were unrelated. The top risks predictive of EDRV were homeless, patient left without being seen, eloped, or left against medical advice. The top risks predictive of EDRVDD were geriatric and whether patients had primary care physicians regardless as to whether patient returns were related or unrelated to their initial ED visits. Conclusion Over 6% of patients experienced ED return visits within 72 hours. Though risks predicting such revisits were multifactorial, similar risks were identified not only for ED return visits, but also for return ED visit disposition deviations.
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Affiliation(s)
- Charles Huggins
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
| | - Richard D Robinson
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
| | - Heidi Knowles
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
| | - Jennalee Cizenski
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
| | - Rosalia Mbugua
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
| | - Jessica Laureano-Phillips
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
| | - Chet D Schrader
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
| | - Nestor R Zenarosa
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
| | - Hao Wang
- Department of Emergency Medicine, Integrative Emergency Services, John Peter Smith Health Network, Fort Worth, TX, USA
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Hayward J, Hagtvedt R, Ma W, Gauri A, Vester M, Holroyd BR. Predictors of Admission in Adult Unscheduled Return Visits to the Emergency Department. West J Emerg Med 2018; 19:912-918. [PMID: 30429921 PMCID: PMC6225947 DOI: 10.5811/westjem.2018.8.38225] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 06/26/2018] [Accepted: 08/11/2018] [Indexed: 11/24/2022] Open
Abstract
Introduction The 72-hour unscheduled return visit (URV) of an emergency department (ED) patient is often used as a key performance indicator in emergency medicine. We sought to determine if URVs with admission to hospital (URVA) represent a distinct subgroup compared to unscheduled return visits with no admission (URVNA). Methods We performed a retrospective cohort study of all 72-hour URVs in adults across 10 EDs in the Edmonton Zone (EZ) over a one-year period (January 1, 2015 - December 31, 2015) using ED information-system data. URVA and URVNA populations were compared, and a multivariable analysis identified predictors of URVA. Results Analysis of 40,870 total URV records, including 3,363 URVAs, revealed predictors of URVA on the index visit including older age (>65 yrs, odds ratio [OR] 3.6), higher disease acuity (Canadian Emergency Department Triage and Acuity Scale [CTAS] 2, OR 2.6), gastrointestinal presenting complaint (OR 2.2), presenting to a referral hospital (OR 1.4), fewer annual ED visits (<4 visits, OR 2.0), and more hours spent in the ED (>12 hours, OR 2.0). A decrease in CTAS score (increase in disease acuity) upon return visit also increased the risk of admission (-1 CTAS level, OR 2.6). ED crowding at the index visit, as indicated by occupancy level, was not a predictor. Conclusion We demonstrate that URVA patients comprise a distinct subgroup of 72-hour URV patients. Risk factors for URVA are present at the index visit suggesting that patients at high risk for URVA may be identifiable prior to admission.
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Affiliation(s)
- Jake Hayward
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
| | - Reidar Hagtvedt
- University of Alberta, Alberta School of Business, Edmonton, Alberta, Canada
| | - Warren Ma
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
| | - Aliyah Gauri
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
| | - Michael Vester
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
| | - Brian R. Holroyd
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
- Alberta Health Services, Emergency Strategic Clinical Network, Edmonton, Alberta, Canada
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Hayward J, Hagtvedt R, Ma W, Gauri A, Vester M, Holroyd B. Predictors of Admission in Adult Unscheduled Return Visits to the Emergency Department. West J Emerg Med 2018. [DOI: 10.5811/westjem.2018.38225] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Affiliation(s)
- Jake Hayward
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
| | - Reidar Hagtvedt
- University of Alberta, Alberta School of Business, Edmonton, Alberta, Canada
| | - Warren Ma
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
| | - Aliyah Gauri
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
| | - Michael Vester
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada
| | - Brian Holroyd
- University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada; Alberta Health Services, Emergency Strategic Clinical Network, Edmonton, Alberta, Canada
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Ahmed AE, ALMuqbil BI, Alrajhi MN, Almazroa HR, AlBuraikan DA, Albaijan MA, Nasim M, Alsalamah MA, McClish DK, AL-Jahdali H. Emergency department 72-hour revisits among children with chronic diseases: a Saudi Arabian study. BMC Pediatr 2018; 18:205. [PMID: 29945589 PMCID: PMC6020430 DOI: 10.1186/s12887-018-1186-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 06/21/2018] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Emergency Department (ED) revisits have often been used as an indicator of medical care quality. This study aimed to quantify the frequency of ED revisits within 72 h of discharge and identify its factors among children with chronic diseases. METHODS We designed a retrospective cohort study of children with at least one chronic disease who were also under 18 years of age and had attended and were discharged from the ED at King Abdullah Specialist Children's Hospital (KASCH-RD), Riyadh, Saudi Arabia between April 19, 2015 and July 29, 2017. The outcome measure was the frequency of ED revisits during a period of 72 h after discharge. RESULTS The study included 11,057 ED discharges of children with at least one chronic disease. Their revisit rate was 1211 (11%), with 83 (6.9%) having had a second ED revisit within 72 h of ED discharge. According to ICD-10 codes, the most common causes of ED revisits were respiratory, digestive, genitourinary, symptoms, and external causes. Factors of frequent ED revisits within 72 h were young age, institutional health insurance coverage, year of new health information system (2015), external causes, and genitourinary. CONCLUSION The rate of 72-h ED revisits after discharge of children with chronic diseases treated at KASCH-RD was relatively high, and was associated with young age, institutional health insurance coverage, year of a new health information system implementation, and external causes of ED visit. These study findings amplify the need for intervention to reduce the rate of early ED revisits among children with chronic diseases.
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Affiliation(s)
- Anwar E. Ahmed
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
- King Saud bin Abdulaziz University for Health Sciences, National Guard Health Affairs, P.O. Box 22490, Riyadh, 11426 Saudi Arabia
- Pulmonary Division Medical Director of sleep disorders, Center King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Bashayr I. ALMuqbil
- King Saud bin Abdulaziz University for Health Sciences, National Guard Health Affairs, P.O. Box 22490, Riyadh, 11426 Saudi Arabia
| | - Manair N. Alrajhi
- King Saud bin Abdulaziz University for Health Sciences, National Guard Health Affairs, P.O. Box 22490, Riyadh, 11426 Saudi Arabia
| | - Hend R. Almazroa
- King Saud bin Abdulaziz University for Health Sciences, National Guard Health Affairs, P.O. Box 22490, Riyadh, 11426 Saudi Arabia
| | - Doaa A. AlBuraikan
- King Saud bin Abdulaziz University for Health Sciences, National Guard Health Affairs, P.O. Box 22490, Riyadh, 11426 Saudi Arabia
| | - Monirah A. Albaijan
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
| | - Maliha Nasim
- King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
| | - Majid A. Alsalamah
- King Saud bin Abdulaziz University for Health Sciences, National Guard Health Affairs, P.O. Box 22490, Riyadh, 11426 Saudi Arabia
| | - Donna K. McClish
- Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Box 980032, Richmond, VA 23298 USA
| | - Hamdan AL-Jahdali
- King Saud bin Abdulaziz University for Health Sciences, National Guard Health Affairs, P.O. Box 22490, Riyadh, 11426 Saudi Arabia
- McGill University, Montreal, Canada
- Pulmonary Division Medical Director of sleep disorders, Center King Abdulaziz Medical City, Riyadh, Saudi Arabia
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Ziv-Baran T, Wasserman A, Shteinvil R, Zeltser D, Shapira I, Shenhar-Tsarfaty S, Meilik A, Goldiner I, Rogowski O, Berliner S, Halpern P. C-reactive protein and emergency department seven days revisit. Clin Chim Acta 2018; 481:207-211. [DOI: 10.1016/j.cca.2018.03.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Accepted: 03/19/2018] [Indexed: 01/21/2023]
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Thompson S, Varvel S, Sasinowski M, Burke JP. From Value Assessment to Value Cocreation: Informing Clinical Decision-Making with Medical Claims Data. BIG DATA 2016; 4:141-147. [PMID: 27642718 DOI: 10.1089/big.2015.0030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Big data and advances in analytical processes represent an opportunity for the healthcare industry to make better evidence-based decisions on the value generated by various tests, procedures, and interventions. Value-based reimbursement is the process of identifying and compensating healthcare providers based on whether their services improve quality of care without increasing cost of care or maintain quality of care while decreasing costs. In this article, we motivate and illustrate the potential opportunities for payers and providers to collaborate and evaluate the clinical and economic efficacy of different healthcare services. We conduct a case study of a firm that offers advanced biomarker and disease state management services for cardiovascular and cardiometabolic conditions. A value-based analysis that comprised a retrospective case/control cohort design was conducted, and claims data for over 7000 subjects who received these services were compared to a matched control cohort. Study subjects were commercial and Medicare Advantage enrollees with evidence of CHD, diabetes, or a related condition. Analysis of medical claims data showed a lower proportion of patients who received biomarker testing and disease state management services experienced a MI (p < 0.01) or diabetic complications (p < 0.001). No significant increase in cost of care was found between the two cohorts. Our results illustrate the opportunity healthcare payers such as Medicare and commercial insurance companies have in terms of identifying value-creating healthcare interventions. However, payers and providers also need to pursue system integration efforts to further automate the identification and dissemination of clinically and economically efficacious treatment plans to ensure at-risk patients receive the treatments and interventions that will benefit them the most.
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Affiliation(s)
- Steven Thompson
- 1 Robins School of Business, University of Richmond , Richmond, Virginia
| | | | | | - James P Burke
- 4 Health Economics and Outcomes Research , Optum, Eden Prairie, Minnesota
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