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You JS, Park YS, Chung SP, Lee HS, Jeon S, Kim WY, Shin TG, Jo YH, Kang GH, Choi SH, Suh GJ, Ko BS, Han KS, Shin JH, Kong T. Relationship between time of emergency department admission and adherence to the Surviving Sepsis Campaign bundle in patients with septic shock. Crit Care 2022; 26:43. [PMID: 35148797 PMCID: PMC8832860 DOI: 10.1186/s13054-022-03899-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 01/14/2022] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Nighttime hospital admission is often associated with increased mortality risk in various diseases. This study investigated compliance rates with the Surviving Sepsis Campaign (SSC) 3-h bundle for daytime and nighttime emergency department (ED) admissions and the clinical impact of compliance on mortality in patients with septic shock. METHODS We conducted an observational study using data from a prospective, multicenter registry for septic shock provided by the Korean Shock Society from 11 institutions from November 2015 to December 2017. The outcome was the compliance rate with the SSC 3-h bundle according to the time of arrival in the ED. RESULTS A total of 2049 patients were enrolled. Compared with daytime admission, nighttime admission was associated with higher compliance with the administration of antibiotics within 3 h (adjusted odds ratio (adjOR), 1.326; 95% confidence interval (95% CI), 1.088-1.617, p = 0.005) and with the complete SSC bundle (adjOR, 1.368; 95% CI, 1.115-1.678; p = 0.003), likely to result from the increased volume of all patients and sepsis patients admitted during daytime hours. The hazard ratios of the completion of SSC bundle for 28-day mortality and in-hospital mortality were 0.750 (95% CI 0.590-0.952, p = 0.018) and 0.714 (95% CI 0.564-0.904, p = 0.005), respectively. CONCLUSION Septic shock patients admitted to the ED during the daytime exhibited lower sepsis bundle compliance than those admitted at night. Both the higher number of admitted patients and the higher patients to medical staff ratio during daytime may be factors that are responsible for lowering the compliance.
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Affiliation(s)
- Je Sung You
- Department of Emergency Medicine, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea
| | - Yoo Seok Park
- Department of Emergency Medicine, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea
| | - Sung Phil Chung
- Department of Emergency Medicine, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea
| | - Hye Sun Lee
- Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea
| | - Soyoung Jeon
- Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea
| | - Won Young Kim
- Department of Emergency Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Tae Gun Shin
- Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - You Hwan Jo
- Department of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Gu Hyun Kang
- Department of Emergency Medicine, Hallym University College of Medicine, Seoul, Republic of Korea
| | - Sung Hyuk Choi
- Department of Emergency Medicine, Guro Hospital, Korea University Medical Center, Seoul, Republic of Korea
| | - Gil Joon Suh
- Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Byuk Sung Ko
- Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea
| | - Kap Su Han
- Department of Emergency Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Jong Hwan Shin
- Department of Emergency Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Taeyoung Kong
- Department of Emergency Medicine, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea.
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Pinaire J, Azé J, Bringay S, Landais P. Patient healthcare trajectory. An essential monitoring tool: a systematic review. Health Inf Sci Syst 2017; 5:1. [PMID: 28413630 PMCID: PMC5390363 DOI: 10.1007/s13755-017-0020-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 03/29/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Patient healthcare trajectory is a recent emergent topic in the literature, encompassing broad concepts. However, the rationale for studying patients' trajectories, and how this trajectory concept is defined remains a public health challenge. Our research was focused on patients' trajectories based on disease management and care, while also considering medico-economic aspects of the associated management. We illustrated this concept with an example: a myocardial infarction (MI) occurring in a patient's hospital trajectory of care. The patient follow-up was traced via the prospective payment system. We applied a semi-automatic text mining process to conduct a comprehensive review of patient healthcare trajectory studies. This review investigated how the concept of trajectory is defined, studied and what it achieves. METHODS We performed a PubMed search to identify reports that had been published in peer-reviewed journals between January 1, 2000 and October 31, 2015. Fourteen search questions were formulated to guide our review. A semi-automatic text mining process based on a semantic approach was performed to conduct a comprehensive review of patient healthcare trajectory studies. Text mining techniques were used to explore the corpus in a semantic perspective in order to answer non-a priori questions. Complementary review methods on a selected subset were used to answer a priori questions. RESULTS Among the 33,514 publications initially selected for analysis, only 70 relevant articles were semi-automatically extracted and thoroughly analysed. Oncology is particularly prevalent due to its already well-established processes of care. For the trajectory thema, 80% of articles were distributed in 11 clusters. These clusters contain distinct semantic information, for example health outcomes (29%), care process (26%) and administrative and financial aspects (16%). CONCLUSION This literature review highlights the recent interest in the trajectory concept. The approach is also gradually being used to monitor trajectories of care for chronic diseases such as diabetes, organ failure or coronary artery and MI trajectory of care, to improve care and reduce costs. Patient trajectory is undoubtedly an essential approach to be further explored in order to improve healthcare monitoring.
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Affiliation(s)
- Jessica Pinaire
- Biostatistics, Epidemiology and Public Health Department, Nîmes University Hospital, Place R Debré, 30 029 Nîmes, France
- UPRES EA 2415, Clinical Research University Institute, 641 av du Doyen Gaston Giraud, 34 093 Montpellier, France
- LIRMM, UMR 5506, Montpellier University, 860 rue de Saint Priest – Bât 5, 34 095 Montpellier Cedex 5, France
| | - Jérôme Azé
- LIRMM, UMR 5506, Montpellier University, 860 rue de Saint Priest – Bât 5, 34 095 Montpellier Cedex 5, France
| | - Sandra Bringay
- LIRMM, UMR 5506, Montpellier University, 860 rue de Saint Priest – Bât 5, 34 095 Montpellier Cedex 5, France
- AMIS, Paul Valéry University, Montpellier, France
| | - Paul Landais
- Biostatistics, Epidemiology and Public Health Department, Nîmes University Hospital, Place R Debré, 30 029 Nîmes, France
- UPRES EA 2415, Clinical Research University Institute, 641 av du Doyen Gaston Giraud, 34 093 Montpellier, France
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Quaglini S, Sacchi L, Lanzola G, Viani N. Personalization and Patient Involvement in Decision Support Systems: Current Trends. Yearb Med Inform 2017; 10:106-18. [PMID: 26293857 DOI: 10.15265/iy-2015-015] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVES This survey aims at highlighting the latest trends (2012-2014) on the development, use, and evaluation of Information and Communication Technologies (ICT) based decision support systems (DSSs) in medicine, with a particular focus on patient-centered and personalized care. METHODS We considered papers published on scientific journals, by querying PubMed and Web of ScienceTM. Included studies focused on the implementation or evaluation of ICT-based tools used in clinical practice. A separate search was performed on computerized physician order entry systems (CPOEs), since they are increasingly embedding patient-tailored decision support. RESULTS We found 73 papers on DSSs (53 on specific ICT tools) and 72 papers on CPOEs. Although decision support through the delivery of recommendations is frequent (28/53 papers), our review highlighted also DSSs only based on efficient information presentation (25/53). Patient participation in making decisions is still limited (9/53), and mostly focused on risk communication. The most represented medical area is cancer (12%). Policy makers are beginning to be included among stakeholders (6/73), but integration with hospital information systems is still low. Concerning knowledge representation/management issues, we identified a trend towards building inference engines on top of standard data models. Most of the tools (57%) underwent a formal assessment study, even if half of them aimed at evaluating usability and not effectiveness. CONCLUSIONS Overall, we have noticed interesting evolutions of medical DSSs to improve communication with the patient, consider the economic and organizational impact, and use standard models for knowledge representation. However, systems focusing on patient-centered care still do not seem to be available at large.
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Affiliation(s)
- S Quaglini
- Silvana Quaglini, Department of Electrical, Computer, and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy, Tel: +39 0382 985058, Fax: +39 0382 985060, E-mail:
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SGEM Hot Off the Press: Computer provider order entry (CPOE) and emergency department flow. CAN J EMERG MED 2017; 19:147-153. [PMID: 28356167 DOI: 10.1017/cem.2017.7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Park YS, Chung SP, You JS, Kim MJ, Chung HS, Hong JH, Lee HS, Wang J, Park I. Effectiveness of a multidisciplinary critical pathway based on a computerised physician order entry system for ST-segment elevation myocardial infarction management in the emergency department: a retrospective observational study. BMJ Open 2016; 6:e011429. [PMID: 27531726 PMCID: PMC5013344 DOI: 10.1136/bmjopen-2016-011429] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVES The purpose of this study was to investigate whether a multidisciplinary organised critical pathway (CP) for ST-segment elevation myocardial infarction (STEMI) management can significantly attenuate differences in the duration from emergency department (ED) arrival to evaluation and treatment, regardless of the arrival time, by eliminating off-hour and weekend effects. DESIGN Retrospective observational cohort study. SETTING 2 tertiary academic hospitals. PARTICIPANTS Consecutive patients in the Fast Interrogation Rule for STEMI (FIRST) program. INTERVENTIONS A study was conducted on patients in the FIRST program, which uses a computerised physician order entry (CPOE) system. The patient demographics, time intervals and clinical outcomes were analysed based on the arrival time at the ED: group 1, normal working hours on weekdays; group 2, off-hours on weekdays; group 3, normal working hours on weekends; and group 4, off-hours on weekends. PRIMARY AND SECONDARY OUTCOME MEASURES Clinical outcomes categorised according to 30-day mortality, in-hospital mortality and the length of stay. RESULTS The duration from door-to-data or FIRST activation did not differ significantly among the 4 groups. The median duration between arrival and balloon placement during percutaneous coronary intervention did not significantly exceed 90 min, and the proportions (89.6-95.1%) of patients with door-to-balloon times within 90 min did not significantly differ among the 4 groups, regardless of the ED arrival time (p=0.147). Moreover, no differences in the 30-day (p=0.8173) and in-hospital mortality (p=0.9107) were observed in patients with STEMI. CONCLUSIONS A multidisciplinary CP for STEMI based on a CPOE system can effectively decrease disparities in the door-to-data duration and proportions of patients with door-to-balloon times within 90 min, regardless of the ED arrival time. The application of a multidisciplinary CP may also help attenuate off-hour and weekend effects in STEMI clinical outcomes.
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Affiliation(s)
- Yoo Seok Park
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sung Phil Chung
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Je Sung You
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Min Joung Kim
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun Soo Chung
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jung Hwa Hong
- Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hye Sun Lee
- Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jinwon Wang
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Incheol Park
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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Abstract
AbstractObjectivesComputerized provider order entry (CPOE) has been established as a method to improve patient safety by avoiding medication errors; however, its effect on emergency department (ED) flow remains undefined. We examined the impact of CPOE implementation on three measures of ED throughput: wait time (WT), length of stay (LOS), and the proportion of patients that left without being seen (LWBS).MethodsWe conducted a retrospective cohort study of all ED patients of 18 years and older presenting to London Health Sciences Centre during July and August 2013 and 2014, before and after implementation of a CPOE system. The three primary variables were compared between time periods. Subgroup analyses were also conducted within each Canadian Triage and Acuity Scale (CTAS) level (1–5) individually, as well as for admitted patients only.ResultsA significant increase in WT of 5 minutes (p=0.036) and LOS of 10 minutes (p=0.001), and an increase in LWBS from 7.2% to 8.1% (p=0.002) was seen after CPOE implementation. Admitted patients’ LOS increased by 63 minutes (p<0.001), the WT of CTAS 3 and 5 patients increased by 6 minutes (p=0.001) and 39 minutes (p=0.005), and LWBS proportion increased significantly for CTAS 3–5 patients, from 24.3% to 42.0% (p<0.001) for CTAS 5 patients specifically.ConclusionsCPOE implementation detrimentally impacted all patient flow throughput measures that we examined. The most striking clinically relevant result was the increase in LOS of 63 minutes for admitted patients. This raises the question as to whether the potential detrimental effects to patient safety of CPOE implementation outweigh its benefits.
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Ballard DW, Kim AS, Huang J, Park DK, Kene MV, Chettipally UK, Iskin HR, Hsu J, Vinson DR, Mark DG, Reed ME. Implementation of Computerized Physician Order Entry Is Associated With Increased Thrombolytic Administration for Emergency Department Patients With Acute Ischemic Stroke. Ann Emerg Med 2015; 66:601-10. [PMID: 26362574 PMCID: PMC5111545 DOI: 10.1016/j.annemergmed.2015.07.018] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Revised: 06/16/2015] [Accepted: 07/07/2015] [Indexed: 10/23/2022]
Abstract
STUDY OBJECTIVE Electronic health record systems with computerized physician order entry and condition-specific order sets are intended to standardize patient management and minimize errors of omission. However, the effect of these systems on disease-specific process measures and patient outcomes is not well established. We seek to evaluate the effect of computerized physician order entry electronic health record implementation on process measures and short-term health outcomes for patients hospitalized with acute ischemic stroke. METHODS We conducted a quasi-experimental cohort study of patients hospitalized for acute ischemic stroke with concurrent controls that took advantage of the staggered implementation of a comprehensive computerized physician order entry electronic health record across 16 medical centers within an integrated health care delivery system from 2007 to 2012. The study population included all patients admitted to the hospital from the emergency department (ED) for acute ischemic stroke, with an initial neuroimaging study within 2.5 hours of ED arrival. We evaluated the association between the availability of a computerized physician order entry electronic health record and the rates of ED intravenous tissue plasminogen activator administration, hospital-acquired pneumonia, and inhospital and 90-day mortality, using doubly robust estimation models to adjust for demographics, comorbidities, secular trends, and concurrent primary stroke center certification status at each center. RESULTS Of 10,081 eligible patients, 6,686 (66.3%) were treated in centers after the computerized physician order entry electronic health record had been implemented. Computerized physician order entry was associated with significantly higher rates of intravenous tissue plasminogen activator administration (rate difference 3.4%; 95% confidence interval 0.8% to 6.0%) but not with significant rate differences in pneumonia or mortality. CONCLUSION For patients hospitalized for acute ischemic stroke, computerized physician order entry use was associated with increased use of intravenous tissue plasminogen activator.
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Affiliation(s)
- Dustin W Ballard
- Kaiser Permanente San Rafael Medical Center, San Rafael, CA; Kaiser Permanente Division of Research, Oakland, CA.
| | - Anthony S Kim
- Department of Neurology, University of California at San Francisco, San Francisco, CA
| | - Jie Huang
- Kaiser Permanente Division of Research, Oakland, CA
| | - David K Park
- Kaiser Permanente San Leandro Medical Center, San Leandro, CA
| | - Mamata V Kene
- Kaiser Permanente San Leandro Medical Center, San Leandro, CA
| | - Uli K Chettipally
- Kaiser Permanente South San Francisco Medical Center, South San Francisco, CA
| | | | - John Hsu
- Mongan Institute for Health Policy, Massachusetts General Hospital, Department of Health Care Policy, Harvard Medical School, Boston, MA
| | - David R Vinson
- Kaiser Permanente Division of Research, Oakland, CA; Kaiser Permanente Roseville Medical Center, Roseville, CA
| | - Dustin G Mark
- Kaiser Permanente Oakland Medical Center, Oakland, CA
| | - Mary E Reed
- Kaiser Permanente Division of Research, Oakland, CA
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