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Velasco R, Lejarzegi A, Andina D, Gomez B, Izarzugaza E, Mintegi S. Multicentre Delphi study of physicians resulted in quality indicators for young infants with fever without source in emergency departments. Acta Paediatr 2023; 112:1962-1969. [PMID: 37203258 DOI: 10.1111/apa.16851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 05/16/2023] [Accepted: 05/17/2023] [Indexed: 05/20/2023]
Abstract
AIM Managing febrile infants has evolved without a generally accepted standard of care. We aimed to design quality indicators for managing infants ≤90 days old presenting to emergency departments (EDs) with fever without source. METHODS This multicentre Delphi study was carried out by the Febrile Infant Study Group of the Spanish Paediatric Emergency Research Network, from March 2021 to November 2021, and included paediatric emergency physicians from 24 Spanish EDs. A list of care standards was produced, following an extensive literature review and the involvement of all parties. Indicators were essential if they were voted by four panelists and also received a score of ≥4 from at least 95% of the 24 investigators. RESULTS We established 20 indicators, including one related to having a protocol, two to triage, nine to diagnostic processes, six to treatment and two to disposition. The following indicators were considered essential: having an ED management protocol, performing urinalysis on every infant, obtaining a blood culture from every infant and administering antibiotics in the ED to any febrile infant who did not appear well. CONCLUSION The Delphi method resulted in a comprehensive list of quality indicators for managing febrile young infants in Spanish EDs.
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Affiliation(s)
- Roberto Velasco
- Paediatric Emergency Department, Hospital Universitario Rio Hortega, Valladolid, Spain
| | - Ainara Lejarzegi
- Paediatric Emergency Department, Biocruces Bizkaia Health Research Institute, Hospital Universitario Cruces, University of the Basque Country (UPV/EHU), Bilbao, Spain
| | - David Andina
- Paediatric Emergency Department, Hospital Universitario Niño Jesús, Madrid, Spain
| | - Borja Gomez
- Paediatric Emergency Department, Biocruces Bizkaia Health Research Institute, Hospital Universitario Cruces, University of the Basque Country (UPV/EHU), Bilbao, Spain
| | - Estíbaliz Izarzugaza
- Subdirectorate of Innovation and Quality, Hospital Universitario Cruces, University of the Basque Country (UPV/EHU), Bilbao, Spain
| | - Santiago Mintegi
- Paediatric Emergency Department, Biocruces Bizkaia Health Research Institute, Hospital Universitario Cruces, University of the Basque Country (UPV/EHU), Bilbao, Spain
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Younsi A, Unterberg A, Marzi I, Steudel WI, Uhl E, Lemcke J, Berg F, Woschek M, Friedrich M, Clusmann H, Hamou HA, Mauer UM, Scheer M, Meixensberger J, Lindner D, Schmieder K, Gierthmuehlen M, Hoefer C, Nienaber U, Maegele M. Development and first results of a national databank on care and treatment outcome after traumatic brain injury. Eur J Trauma Emerg Surg 2023; 49:1171-1181. [PMID: 37022377 DOI: 10.1007/s00068-023-02260-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/12/2023] [Indexed: 04/07/2023]
Abstract
PURPOSE In absence of comprehensive data collection on traumatic brain injury (TBI), the German Society for Neurosurgery (DGNC) and the German Society for Trauma Surgery (DGU) developed a TBI databank for German-speaking countries. METHODS From 2016 to 2020, the TBI databank DGNC/DGU was implemented as a module of the TraumaRegister (TR) DGU and tested in a 15-month pilot phase. Since its official launch in 2021, patients from the TR-DGU (intermediate or intensive care unit admission via shock room) with TBI (AIS head ≥ 1) can be enrolled. A data set of > 300 clinical, imaging, and laboratory variables, harmonized with other international TBI data collection structures is documented, and the treatment outcome is evaluated after 6- and 12 months. RESULTS For this analysis, 318 patients in the TBI databank could be included (median age 58 years; 71% men). Falls were the most common cause of injury (55%), and antithrombotic medication was frequent (28%). Severe or moderate TBI were only present in 55% of patients, while 45% suffered a mild injury. Nevertheless, intracranial pathologies were present in 95% of brain imaging with traumatic subarachnoid hemorrhages (76%) being the most common. Intracranial surgeries were performed in 42% of cases. In-hospital mortality after TBI was 21% and surviving patients could be discharged after a median hospital stay of 11 days. At the 6-and 12 months follow-up, a favorable outcome was achieved by 70% and 90% of the participating TBI patients, respectively. Compared to a European cohort of 2138 TBI patients treated in the ICU between 2014 and 2017, patients in the TBI databank were already older, frailer, fell more commonly at home. CONCLUSION Within five years, the TBI databank DGNC/DGU of the TR-DGU could be established and is since then prospectively enrolling TBI patients in German-speaking countries. With its large and harmonized data set and a 12-month follow-up, the TBI databank is a unique project in Europe, already allowing comparisons to other data collection structures and indicating a demographic change towards older and frailer TBI patients in Germany.
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Affiliation(s)
- Alexander Younsi
- Neurochirurgische Klinik, Universitätsklinikum Heidelberg, INF 400, 69120, Heidelberg, Germany.
| | - Andreas Unterberg
- Neurochirurgische Klinik, Universitätsklinikum Heidelberg, INF 400, 69120, Heidelberg, Germany
| | - Ingo Marzi
- Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum, Johann Wolfgang-Goethe-Universität, Frankfurt am Main, Germany
| | | | - Eberhard Uhl
- Neurochirurgische Klinik, Universitätsklinikum Gießen und Marburg Standort Gießen, Giessen, Germany
| | - Johannes Lemcke
- Klinik für Neurochirurgie, BG Klinikum Unfallkrankenhaus Berlin, Warener Straße 7, 12683, Berlin, Germany
| | - Florian Berg
- Klinik für Neurochirurgie, BG Klinikum Unfallkrankenhaus Berlin, Warener Straße 7, 12683, Berlin, Germany
| | - Mathias Woschek
- Klinik für Unfall-, Hand- und Wiederherstellungschirurgie, Universitätsklinikum, Johann Wolfgang-Goethe-Universität, Frankfurt am Main, Germany
| | - Michaela Friedrich
- Neurochirurgische Klinik, Universitätsklinikum Gießen und Marburg Standort Gießen, Giessen, Germany
| | - Hans Clusmann
- Klinik für Neurochirurgie, Uniklinik RWTH Aachen, Aachen, Germany
| | | | - Uwe Max Mauer
- Neurochirurgische Klinik, Bundeswehrkrankenhaus Ulm, Ulm, Germany
| | - Magnus Scheer
- Neurochirurgische Klinik, Bundeswehrkrankenhaus Ulm, Ulm, Germany
| | - Jürgen Meixensberger
- Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Dirk Lindner
- Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Kirsten Schmieder
- Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Ruhr - Universität Bochum, In Der Schornau 23-35, 44892, Bochum, Germany
| | - Mortimer Gierthmuehlen
- Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH, Ruhr - Universität Bochum, In Der Schornau 23-35, 44892, Bochum, Germany
| | - Christine Hoefer
- Akademie der Unfallchirurgie GmbH, Emil-Riedel-Straße 5, 80538, Munich, Germany
| | - Ulrike Nienaber
- Akademie der Unfallchirurgie GmbH, Emil-Riedel-Straße 5, 80538, Munich, Germany
| | - Marc Maegele
- Klinik für Orthopädie, Unfallchirurgie und Sporttraumatologie, Klinikum Köln-Merheim, Institut für Forschung in der Operativen Medizin (IFOM), Universität Witten/Herdecke, Campus Köln-Merheim, Ostmerheimerstr. 200, 51109, Cologne, Germany
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3
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Abstract
The use of the Delphi technique is prevalent across health sciences research, and it is used to identify priorities, reach consensus on issues of importance and establish clinical guidelines. Thus, as a form of expert opinion research, it can address fundamental questions present in healthcare. However, there is little guidance on how to conduct them, resulting in heterogenous Delphi studies and methodological confusion. Therefore, the purpose of this review is to introduce the use of the Delphi method, assess the application of the Delphi technique within health sciences research, discuss areas of methodological uncertainty and propose recommendations. Advantages of the use of Delphi include anonymity, controlled feedback, flexibility for the choice of statistical analysis, and the ability to gather participants from geographically diverse areas. Areas of methodological uncertainty worthy of further discussion broadly include experts and data management. For experts, the definition and number of participants remain issues of contention, while there are ongoing difficulties with expert selection and retention. For data management, there are issues with data collection, defining consensus and methods of data analysis, such as percent agreement, central tendency, measures of dispersion, and inferential statistics. Overall, the use of Delphi addresses important issues present in health sciences research, but methodological issues remain. It is likely that the aggregation of future Delphi studies will eventually pave the way for more comprehensive reporting guidelines and subsequent methodological clarity.
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Affiliation(s)
- Zhida Shang
- Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada
- * Correspondence: Zhida Shang, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada (e-mail: )
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Abedi A, Biering-Sørensen F, Chhabra HS, D’Andréa Greve JM, Khan NM, Koskinen E, Kwan KYH, Liu N, Middleton JW, Moslavac S, Rahimi-Movaghar V, O’Connell C, Previnaire JG, Patel A, Scivoletto G, Sharwood LN, Townson A, Urquhart S, Vainionpää A, Zaman AU, Noonan VK, Cheng CL. An international survey of the structure and process of care for traumatic spinal cord injury in acute and rehabilitation facilities: lessons learned from a pilot study. BMC Health Serv Res 2022; 22:1565. [PMID: 36544168 PMCID: PMC9768992 DOI: 10.1186/s12913-022-08847-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 11/16/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND To describe the key findings and lessons learned from an international pilot study that surveyed spinal cord injury programs in acute and rehabilitation facilities to understand the status of spinal cord injury care. METHODS An online survey with two questionnaires, a 74-item for acute care and a 51-item for rehabilitation, was used. A subset of survey items relevant to the themes of specialized care, timeliness, patient-centeredness, and evidence-based care were operationalized as structure or process indicators. Percentages of facilities reporting the structure or process to be present, and percentages of indicators met by each facility were calculated and reported separately for facilities from high-income countries (HIC) and from low and middle-income countries (LMIC) to identify "hard to meet" indicators defined as those met by less than two-thirds of facilities and to describe performance level. RESULTS A total of 26 acute and 26 rehabilitation facilities from 25 countries participated in the study. The comparison of the facilities based on the country income level revealed three general observations: 1) some indicators were met equally well by both HIC and LMIC, such as 24-hour access to CT scanners in acute care and out-patient services at rehabilitation facilities; 2) some indicators were hard to meet for LMIC but not for HIC, such as having a multidisciplinary team for both acute and rehabilitation settings; and 3) some indicators were hard to meet by both HIC and LMIC, including having peer counselling programs. Variability was also observed for the same indicator between acute and rehabilitation facilities, and a wide range in the total number of indicators met among HIC facilities (acute 59-100%; rehabilitation 36-100%) and among LMIC facilities (acute: 41-82%; rehabilitation: 36-93%) was reported. CONCLUSIONS Results from this international pilot study found that the participating acute and rehabilitation facilities on average adhered to 74% of the selected indicators, suggesting that the structure and processes to provide ideal traumatic spinal cord injury care were broadly available. Recruiting a representative sample of SCI facilities and incorporating regional attributes in future surveys will be helpful to examine factors affecting adherence to indicators.
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Affiliation(s)
- Aidin Abedi
- grid.42505.360000 0001 2156 6853Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Fin Biering-Sørensen
- grid.5254.60000 0001 0674 042XDepartment for Spinal Cord Injuries, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Nasser M. Khan
- grid.413542.50000 0004 0637 437XOrthopedic Surgery Department, Hamad General Hospital, Doha, Qatar
| | - Eerika Koskinen
- grid.412330.70000 0004 0628 2985Department of Neurology and Rehabilitation, Tampere University Hospital, Tampere, Finland
| | - Kenny Yat Hong Kwan
- grid.194645.b0000000121742757Department of Orthopaedics & Traumatology, Faculty of Medicine, University of Hong Kong, Hong Kong, SAR China
| | - Nan Liu
- grid.411642.40000 0004 0605 3760Department of Rehabilitation Medicine, Peking University Third Hospital, Beijing, China
| | - James W. Middleton
- grid.1013.30000 0004 1936 834XJohn Walsh Centre for Rehabilitation Research, Faculty of Medicine and Health, University of Sydney, Sydney, NSW Australia
| | - Sasa Moslavac
- Post-acute and Palliative Care Department Novi Marof, General Hospital Varaždin, Varaždin, Croatia
| | - Vafa Rahimi-Movaghar
- grid.411705.60000 0001 0166 0922Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Colleen O’Connell
- grid.55602.340000 0004 1936 8200Physical Medicine & Rehabilitation, Dalhousie University Faculty of Medicine, Fredericton, NB Canada
| | | | - Alpesh Patel
- grid.415534.20000 0004 0372 0644Middlemore Hospital, Auckland, New Zealand
| | - Giorgio Scivoletto
- grid.417778.a0000 0001 0692 3437Spinal Unit and Spinal Rehabilitation (SpiRe) Lab, IRCCS Fondazione S. Lucia, Rome, Italy
| | - Lisa N. Sharwood
- grid.1013.30000 0004 1936 834XUniversity of Sydney, Sydney, NSW Australia
| | - Andrea Townson
- grid.17091.3e0000 0001 2288 9830Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC Canada
| | - Susan Urquhart
- Spinal Injuries Unit, Queensland Spinal Cord Injuries Services, Brisbane, QLD Australia
| | - Aki Vainionpää
- grid.412326.00000 0004 4685 4917Department of Medical Rehabilitation, Oulu University Hospital, Oulu, Finland
| | - Atiq Uz Zaman
- Lahore Medical and Dental College, Ghurki Trust Teaching Hospital, Lahore, Pakistan
| | - Vanessa K. Noonan
- grid.429086.10000 0004 5907 4485Praxis Spinal Cord Institute, Vancouver, BC Canada
| | - Christiana L. Cheng
- grid.429086.10000 0004 5907 4485Praxis Spinal Cord Institute, Vancouver, BC Canada
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Stubbs D, Bashford T, Gilder F, Nourallah B, Ercole A, Levy N, Clarkson J. Can process mapping and a multisite Delphi of perioperative professionals inform our understanding of system-wide factors that may impact operative risk? BMJ Open 2022; 12:e064105. [PMID: 36368764 PMCID: PMC9660566 DOI: 10.1136/bmjopen-2022-064105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To examine whether the use of process mapping and a multidisciplinary Delphi can identify potential contributors to perioperative risk. We hypothesised that this approach may identify factors not represented in common perioperative risk tools and give insights of use to future research in this area. DESIGN Multidisciplinary, modified Delphi study. SETTING Two centres (one tertiary, one secondary) in the UK during 2020 amidst coronavirus pressures. PARTICIPANTS 91 stakeholders from 23 professional groups involved in the perioperative care of older patients. Key stakeholder groups were identified via process mapping of local perioperative care pathways. RESULTS Response rate ranged from 51% in round 1 to 19% in round 3. After round 1, free text suggestions from the panel were combined with variables identified from perioperative risk scores. This yielded a total of 410 variables that were voted on in subsequent rounds. Including new suggestions from round two, 468/519 (90%) of the statements presented to the panel reached a consensus decision by the end of round 3. Identified risk factors included patient-level factors (such as ethnicity and socioeconomic status), and organisational or process factors related to the individual hospital (such as policies, staffing and organisational culture). 66/160 (41%) of the new suggestions did not feature in systematic reviews of perioperative risk scores or key process indicators. No factor categorised as 'organisational' is currently present in any perioperative risk score. CONCLUSIONS Through process mapping and a modified Delphi we gained insights into additional factors that may contribute to perioperative risk. Many were absent from currently used risk stratification scores. These results enable an appreciation of the contextual limitations of currently used risk tools and could support future research into the generation of more holistic data sets for the development of perioperative risk assessment tools.
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Affiliation(s)
- Daniel Stubbs
- Healthcare Design Group, Department of Engineering, University of Cambridge, Cambridge, UK
- Division of Anaesthesia, University of Cambridge Department of Medicine, Cambridge, UK
| | - Tom Bashford
- Healthcare Design Group, Department of Engineering, University of Cambridge, Cambridge, UK
- Department of Anaesthesia, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Fay Gilder
- Princess Alexandra Hospital NHS Trust, Harlow, UK
| | - Basil Nourallah
- Department of Anaesthesia, West Suffolk Hospital, Bury Saint Edmunds, UK
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge Department of Medicine, Cambridge, UK
| | - Nicholas Levy
- Department of Anaesthesia, West Suffolk Hospital, Bury Saint Edmunds, UK
| | - John Clarkson
- Healthcare Design Group, Department of Engineering, University of Cambridge, Cambridge, UK
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Maas AIR, Menon DK, Manley GT, Abrams M, Åkerlund C, Andelic N, Aries M, Bashford T, Bell MJ, Bodien YG, Brett BL, Büki A, Chesnut RM, Citerio G, Clark D, Clasby B, Cooper DJ, Czeiter E, Czosnyka M, Dams-O’Connor K, De Keyser V, Diaz-Arrastia R, Ercole A, van Essen TA, Falvey É, Ferguson AR, Figaji A, Fitzgerald M, Foreman B, Gantner D, Gao G, Giacino J, Gravesteijn B, Guiza F, Gupta D, Gurnell M, Haagsma JA, Hammond FM, Hawryluk G, Hutchinson P, van der Jagt M, Jain S, Jain S, Jiang JY, Kent H, Kolias A, Kompanje EJO, Lecky F, Lingsma HF, Maegele M, Majdan M, Markowitz A, McCrea M, Meyfroidt G, Mikolić A, Mondello S, Mukherjee P, Nelson D, Nelson LD, Newcombe V, Okonkwo D, Orešič M, Peul W, Pisică D, Polinder S, Ponsford J, Puybasset L, Raj R, Robba C, Røe C, Rosand J, Schueler P, Sharp DJ, Smielewski P, Stein MB, von Steinbüchel N, Stewart W, Steyerberg EW, Stocchetti N, Temkin N, Tenovuo O, Theadom A, Thomas I, Espin AT, Turgeon AF, Unterberg A, Van Praag D, van Veen E, Verheyden J, Vyvere TV, Wang KKW, Wiegers EJA, Williams WH, Wilson L, Wisniewski SR, Younsi A, Yue JK, Yuh EL, Zeiler FA, Zeldovich M, Zemek R. Traumatic brain injury: progress and challenges in prevention, clinical care, and research. Lancet Neurol 2022; 21:1004-1060. [PMID: 36183712 PMCID: PMC10427240 DOI: 10.1016/s1474-4422(22)00309-x] [Citation(s) in RCA: 198] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 07/22/2022] [Indexed: 02/06/2023]
Abstract
Traumatic brain injury (TBI) has the highest incidence of all common neurological disorders, and poses a substantial public health burden. TBI is increasingly documented not only as an acute condition but also as a chronic disease with long-term consequences, including an increased risk of late-onset neurodegeneration. The first Lancet Neurology Commission on TBI, published in 2017, called for a concerted effort to tackle the global health problem posed by TBI. Since then, funding agencies have supported research both in high-income countries (HICs) and in low-income and middle-income countries (LMICs). In November 2020, the World Health Assembly, the decision-making body of WHO, passed resolution WHA73.10 for global actions on epilepsy and other neurological disorders, and WHO launched the Decade for Action on Road Safety plan in 2021. New knowledge has been generated by large observational studies, including those conducted under the umbrella of the International Traumatic Brain Injury Research (InTBIR) initiative, established as a collaboration of funding agencies in 2011. InTBIR has also provided a huge stimulus to collaborative research in TBI and has facilitated participation of global partners. The return on investment has been high, but many needs of patients with TBI remain unaddressed. This update to the 2017 Commission presents advances and discusses persisting and new challenges in prevention, clinical care, and research. In LMICs, the occurrence of TBI is driven by road traffic incidents, often involving vulnerable road users such as motorcyclists and pedestrians. In HICs, most TBI is caused by falls, particularly in older people (aged ≥65 years), who often have comorbidities. Risk factors such as frailty and alcohol misuse provide opportunities for targeted prevention actions. Little evidence exists to inform treatment of older patients, who have been commonly excluded from past clinical trials—consequently, appropriate evidence is urgently required. Although increasing age is associated with worse outcomes from TBI, age should not dictate limitations in therapy. However, patients injured by low-energy falls (who are mostly older people) are about 50% less likely to receive critical care or emergency interventions, compared with those injured by high-energy mechanisms, such as road traffic incidents. Mild TBI, defined as a Glasgow Coma sum score of 13–15, comprises most of the TBI cases (over 90%) presenting to hospital. Around 50% of adult patients with mild TBI presenting to hospital do not recover to pre-TBI levels of health by 6 months after their injury. Fewer than 10% of patients discharged after presenting to an emergency department for TBI in Europe currently receive follow-up. Structured follow-up after mild TBI should be considered good practice, and urgent research is needed to identify which patients with mild TBI are at risk for incomplete recovery. The selection of patients for CT is an important triage decision in mild TBI since it allows early identification of lesions that can trigger hospital admission or life-saving surgery. Current decision making for deciding on CT is inefficient, with 90–95% of scanned patients showing no intracranial injury but being subjected to radiation risks. InTBIR studies have shown that measurement of blood-based biomarkers adds value to previously proposed clinical decision rules, holding the potential to improve efficiency while reducing radiation exposure. Increased concentrations of biomarkers in the blood of patients with a normal presentation CT scan suggest structural brain damage, which is seen on MR scanning in up to 30% of patients with mild TBI. Advanced MRI, including diffusion tensor imaging and volumetric analyses, can identify additional injuries not detectable by visual inspection of standard clinical MR images. Thus, the absence of CT abnormalities does not exclude structural damage—an observation relevant to litigation procedures, to management of mild TBI, and when CT scans are insufficient to explain the severity of the clinical condition. Although blood-based protein biomarkers have been shown to have important roles in the evaluation of TBI, most available assays are for research use only. To date, there is only one vendor of such assays with regulatory clearance in Europe and the USA with an indication to rule out the need for CT imaging for patients with suspected TBI. Regulatory clearance is provided for a combination of biomarkers, although evidence is accumulating that a single biomarker can perform as well as a combination. Additional biomarkers and more clinical-use platforms are on the horizon, but cross-platform harmonisation of results is needed. Health-care efficiency would benefit from diversity in providers. In the intensive care setting, automated analysis of blood pressure and intracranial pressure with calculation of derived parameters can help individualise management of TBI. Interest in the identification of subgroups of patients who might benefit more from some specific therapeutic approaches than others represents a welcome shift towards precision medicine. Comparative-effectiveness research to identify best practice has delivered on expectations for providing evidence in support of best practices, both in adult and paediatric patients with TBI. Progress has also been made in improving outcome assessment after TBI. Key instruments have been translated into up to 20 languages and linguistically validated, and are now internationally available for clinical and research use. TBI affects multiple domains of functioning, and outcomes are affected by personal characteristics and life-course events, consistent with a multifactorial bio-psycho-socio-ecological model of TBI, as presented in the US National Academies of Sciences, Engineering, and Medicine (NASEM) 2022 report. Multidimensional assessment is desirable and might be best based on measurement of global functional impairment. More work is required to develop and implement recommendations for multidimensional assessment. Prediction of outcome is relevant to patients and their families, and can facilitate the benchmarking of quality of care. InTBIR studies have identified new building blocks (eg, blood biomarkers and quantitative CT analysis) to refine existing prognostic models. Further improvement in prognostication could come from MRI, genetics, and the integration of dynamic changes in patient status after presentation. Neurotrauma researchers traditionally seek translation of their research findings through publications, clinical guidelines, and industry collaborations. However, to effectively impact clinical care and outcome, interactions are also needed with research funders, regulators, and policy makers, and partnership with patient organisations. Such interactions are increasingly taking place, with exemplars including interactions with the All Party Parliamentary Group on Acquired Brain Injury in the UK, the production of the NASEM report in the USA, and interactions with the US Food and Drug Administration. More interactions should be encouraged, and future discussions with regulators should include debates around consent from patients with acute mental incapacity and data sharing. Data sharing is strongly advocated by funding agencies. From January 2023, the US National Institutes of Health will require upload of research data into public repositories, but the EU requires data controllers to safeguard data security and privacy regulation. The tension between open data-sharing and adherence to privacy regulation could be resolved by cross-dataset analyses on federated platforms, with the data remaining at their original safe location. Tools already exist for conventional statistical analyses on federated platforms, however federated machine learning requires further development. Support for further development of federated platforms, and neuroinformatics more generally, should be a priority. This update to the 2017 Commission presents new insights and challenges across a range of topics around TBI: epidemiology and prevention (section 1 ); system of care (section 2 ); clinical management (section 3 ); characterisation of TBI (section 4 ); outcome assessment (section 5 ); prognosis (Section 6 ); and new directions for acquiring and implementing evidence (section 7 ). Table 1 summarises key messages from this Commission and proposes recommendations for the way forward to advance research and clinical management of TBI.
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Affiliation(s)
- Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - David K Menon
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Mathew Abrams
- International Neuroinformatics Coordinating Facility, Karolinska Institutet, Stockholm, Sweden
| | - Cecilia Åkerlund
- Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
| | - Nada Andelic
- Division of Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Marcel Aries
- Department of Intensive Care, Maastricht UMC, Maastricht, Netherlands
| | - Tom Bashford
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Michael J Bell
- Critical Care Medicine, Neurological Surgery and Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Yelena G Bodien
- Department of Neurology and Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Benjamin L Brett
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - András Büki
- Department of Neurosurgery, Faculty of Medicine and Health Örebro University, Örebro, Sweden
- Department of Neurosurgery, Medical School; ELKH-PTE Clinical Neuroscience MR Research Group; and Neurotrauma Research Group, Janos Szentagothai Research Centre, University of Pecs, Pecs, Hungary
| | - Randall M Chesnut
- Department of Neurological Surgery and Department of Orthopaedics and Sports Medicine, University of Washington, Harborview Medical Center, Seattle, WA, USA
| | - Giuseppe Citerio
- School of Medicine and Surgery, Universita Milano Bicocca, Milan, Italy
- NeuroIntensive Care, San Gerardo Hospital, Azienda Socio Sanitaria Territoriale (ASST) Monza, Monza, Italy
| | - David Clark
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Betony Clasby
- Department of Sociological Studies, University of Sheffield, Sheffield, UK
| | - D Jamie Cooper
- School of Public Health and Preventive Medicine, Monash University and The Alfred Hospital, Melbourne, VIC, Australia
| | - Endre Czeiter
- Department of Neurosurgery, Medical School; ELKH-PTE Clinical Neuroscience MR Research Group; and Neurotrauma Research Group, Janos Szentagothai Research Centre, University of Pecs, Pecs, Hungary
| | - Marek Czosnyka
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Kristen Dams-O’Connor
- Department of Rehabilitation and Human Performance and Department of Neurology, Brain Injury Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Véronique De Keyser
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Ramon Diaz-Arrastia
- Department of Neurology and Center for Brain Injury and Repair, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Thomas A van Essen
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, Netherlands
| | - Éanna Falvey
- College of Medicine and Health, University College Cork, Cork, Ireland
| | - Adam R Ferguson
- Brain and Spinal Injury Center, Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco and San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
| | - Anthony Figaji
- Division of Neurosurgery and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia
- Perron Institute for Neurological and Translational Sciences, Nedlands, WA, Australia
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati Gardner Neuroscience Institute, University of Cincinnati, Cincinnati, OH, USA
| | - Dashiell Gantner
- School of Public Health and Preventive Medicine, Monash University and The Alfred Hospital, Melbourne, VIC, Australia
| | - Guoyi Gao
- Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine
| | - Joseph Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School and Spaulding Rehabilitation Hospital, Charlestown, MA, USA
| | - Benjamin Gravesteijn
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fabian Guiza
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Deepak Gupta
- Department of Neurosurgery, Neurosciences Centre and JPN Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Mark Gurnell
- Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Juanita A Haagsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Flora M Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Rehabilitation Hospital of Indiana, Indianapolis, IN, USA
| | - Gregory Hawryluk
- Section of Neurosurgery, GB1, Health Sciences Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Peter Hutchinson
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Mathieu van der Jagt
- Department of Intensive Care, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health, University of California, San Diego, CA, USA
| | - Swati Jain
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Ji-yao Jiang
- Department of Neurosurgery, Shanghai Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hope Kent
- Department of Psychology, University of Exeter, Exeter, UK
| | - Angelos Kolias
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Erwin J O Kompanje
- Department of Intensive Care, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Fiona Lecky
- Centre for Urgent and Emergency Care Research, Health Services Research Section, School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marc Maegele
- Cologne-Merheim Medical Center, Department of Trauma and Orthopedic Surgery, Witten/Herdecke University, Cologne, Germany
| | - Marek Majdan
- Institute for Global Health and Epidemiology, Department of Public Health, Faculty of Health Sciences and Social Work, Trnava University, Trnava, Slovakia
| | - Amy Markowitz
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Michael McCrea
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Leuven, Belgium
| | - Ana Mikolić
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Stefania Mondello
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - David Nelson
- Section for Anesthesiology and Intensive Care, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Lindsay D Nelson
- Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Virginia Newcombe
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - David Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Matej Orešič
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Wilco Peul
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
| | - Dana Pisică
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Suzanne Polinder
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jennie Ponsford
- Monash-Epworth Rehabilitation Research Centre, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Louis Puybasset
- Department of Anesthesiology and Intensive Care, APHP, Sorbonne Université, Hôpital Pitié-Salpêtrière, Paris, France
| | - Rahul Raj
- Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Chiara Robba
- Department of Anaesthesia and Intensive Care, Policlinico San Martino IRCCS for Oncology and Neuroscience, Genova, Italy, and Dipartimento di Scienze Chirurgiche e Diagnostiche, University of Genoa, Italy
| | - Cecilie Røe
- Division of Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - David J Sharp
- Department of Brain Sciences, Imperial College London, London, UK
| | - Peter Smielewski
- Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
| | - Murray B Stein
- Department of Psychiatry and Department of Family Medicine and Public Health, UCSD School of Medicine, La Jolla, CA, USA
| | - Nicole von Steinbüchel
- Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Goettingen, Germany
| | - William Stewart
- Department of Neuropathology, Queen Elizabeth University Hospital and University of Glasgow, Glasgow, UK
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences Leiden University Medical Center, Leiden, Netherlands
| | - Nino Stocchetti
- Department of Pathophysiology and Transplantation, Milan University, and Neuroscience ICU, Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Nancy Temkin
- Departments of Neurological Surgery, and Biostatistics, University of Washington, Seattle, WA, USA
| | - Olli Tenovuo
- Department of Rehabilitation and Brain Trauma, Turku University Hospital, and Department of Neurology, University of Turku, Turku, Finland
| | - Alice Theadom
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Studies, Auckland University of Technology, Auckland, New Zealand
| | - Ilias Thomas
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Abel Torres Espin
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Alexis F Turgeon
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, CHU de Québec-Université Laval Research Center, Québec City, QC, Canada
| | - Andreas Unterberg
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Dominique Van Praag
- Departments of Clinical Psychology and Neurosurgery, Antwerp University Hospital, and University of Antwerp, Edegem, Belgium
| | - Ernest van Veen
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Thijs Vande Vyvere
- Department of Radiology, Faculty of Medicine and Health Sciences, Department of Rehabilitation Sciences (MOVANT), Antwerp University Hospital, and University of Antwerp, Edegem, Belgium
| | - Kevin K W Wang
- Department of Psychiatry, University of Florida, Gainesville, FL, USA
| | - Eveline J A Wiegers
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - W Huw Williams
- Centre for Clinical Neuropsychology Research, Department of Psychology, University of Exeter, Exeter, UK
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, UK
| | - Stephen R Wisniewski
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania, USA
| | - Alexander Younsi
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - John K Yue
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Frederick A Zeiler
- Departments of Surgery, Human Anatomy and Cell Science, and Biomedical Engineering, Rady Faculty of Health Sciences and Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada
| | - Marina Zeldovich
- Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Goettingen, Germany
| | - Roger Zemek
- Departments of Pediatrics and Emergency Medicine, University of Ottawa, Children’s Hospital of Eastern Ontario, ON, Canada
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Pari V. Development of a quality indicator set to measure and improve quality of ICU care in low- and middle-income countries. Intensive Care Med 2022; 48:1551-1562. [PMID: 36112158 PMCID: PMC9592651 DOI: 10.1007/s00134-022-06818-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/04/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE To develop a set of actionable quality indicators for critical care suitable for use in low- or middle-income countries (LMICs). METHODS A list of 84 candidate indicators compiled from a previous literature review and stakeholder recommendations were categorised into three domains (foundation, process, and quality impact). An expert panel (EP) representing stakeholders from critical care and allied specialties in multiple low-, middle-, and high-income countries was convened. In rounds one and two of the Delphi exercise, the EP appraised (Likert scale 1-5) each indicator for validity, feasibility; in round three sensitivity to change, and reliability were additionally appraised. Potential barriers and facilitators to implementation of the quality indicators were also reported in this round. Median score and interquartile range (IQR) were used to determine consensus; indicators with consensus disagreement (median < 4, IQR ≤ 1) were removed, and indicators with consensus agreement (median ≥ 4, IQR ≤ 1) or no consensus were retained. In round four, indicators were prioritised based on their ability to impact cost of care to the provider and recipient, staff well-being, patient safety, and patient-centred outcomes. RESULTS Seventy-one experts from 30 countries (n = 45, 63%, representing critical care) selected 57 indicators to assess quality of care in intensive care unit (ICU) in LMICs: 16 foundation, 27 process, and 14 quality impact indicators after round three. Round 4 resulted in 14 prioritised indicators. Fifty-seven respondents reported barriers and facilitators, of which electronic registry-embedded data collection was the biggest perceived facilitator to implementation (n = 54/57, 95%) Concerns over burden of data collection (n = 53/57, 93%) and variations in definition (n = 45/57, 79%) were perceived as the greatest barrier to implementation. CONCLUSION This consensus exercise provides a common set of indicators to support benchmarking and quality improvement programs for critical care populations in LMICs.
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Affiliation(s)
- Vrindha Pari
- Chennai Critical Care Consultants, Pvt Ltd, Chennai, India.
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El-Swaify ST, Kamel M, Ali SH, Bahaa B, Refaat MA, Amir A, Abdelrazek A, Beshay PW, Basha AKMM. Initial neurocritical care of severe traumatic brain injury: New paradigms and old challenges. Surg Neurol Int 2022; 13:431. [DOI: 10.25259/sni_609_2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 08/29/2022] [Indexed: 11/04/2022] Open
Abstract
Background:
Early neurocritical care aims to ameliorate secondary traumatic brain injury (TBI) and improve neural salvage. Increased engagement of neurosurgeons in neurocritical care is warranted as daily briefings between the intensivist and the neurosurgeon are considered a quality indicator for TBI care. Hence, neurosurgeons should be aware of the latest evidence in the neurocritical care of severe TBI (sTBI).
Methods:
We conducted a narrative literature review of bibliographic databases (PubMed and Scopus) to examine recent research of sTBI.
Results:
This review has several take-away messages. The concept of critical neuroworsening and its possible causes is discussed. Static thresholds of intracranial pressure (ICP) and cerebral perfusion pressure may not be optimal for all patients. The use of dynamic cerebrovascular reactivity indices such as the pressure reactivity index can facilitate individualized treatment decisions. The use of ICP monitoring to tailor treatment of intracranial hypertension (IHT) is not routinely feasible. Different guidelines have been formulated for different scenarios. Accordingly, we propose an integrated algorithm for ICP management in sTBI patients in different resource settings. Although hyperosmolar therapy and decompressive craniectomy are standard treatments for IHT, there is a lack high-quality evidence on how to use them. A discussion of the advantages and disadvantages of invasive ICP monitoring is included in the study. Addition of beta-blocker, anti-seizure, and anticoagulant medications to standardized management protocols (SMPs) should be considered with careful patient selection.
Conclusion:
Despite consolidated research efforts in the refinement of SMPs, there are still many unanswered questions and novel research opportunities for sTBI care.
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Affiliation(s)
- Seif Tarek El-Swaify
- Department of Neurosurgery, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Menna Kamel
- School of Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Sara Hassan Ali
- School of Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Bassem Bahaa
- Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | | | - Abdelrahman Amir
- School of Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | | | - Pavly Wagih Beshay
- School of Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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Putting measurement on a diet: development of a core set of indicators for quality improvement in the ICU using a Delphi method. BMC Health Serv Res 2022; 22:869. [PMID: 35790960 PMCID: PMC9255461 DOI: 10.1186/s12913-022-08236-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/20/2022] [Indexed: 12/03/2022] Open
Abstract
Background The number and efficacy of indicators used to monitor and improve the quality of care in Intensive Care Units (ICU) is debatable. This study aimed to select a consensus-based core set of indicators for effective quality improvement in the ICU. Methods A Delphi study with a panel of intensivists, ICU nurses, and former ICU patients or relatives (n = 34) from general, teaching, and academic hospitals. Panelists completed a questionnaire in which they scored 69 preselected quality indicators on relevance using a nine-point Likert scale. Indicators were categorized using the rated relevance score into: ‘accepted, ‘equivocal’ and ‘excluded’. Questionnaire results were discussed in focus groups to reach consensus on the final set. Results Response rates for the questionnaire and focus groups were 100 and 68%, respectively. Consensus was reached on a final set of 17 quality indicators including patient reported outcome measures (PROMs) and patient reported experience measures (PREMs). Other quality indicators relate to the organization and outcome of ICU care, including safety culture, ICU standardized mortality ratio, and the process indicator ‘learning from and improving after serious incidents’. Conclusions ICU clinicians and former patients and relatives developed a consensus-based core set of ICU quality indicators that is relatively short but comprehensive and particularly tailored to end-users needs. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-08236-3.
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Ack SE, Loiseau SY, Sharma G, Goldstein JN, Lissak IA, Duffy SM, Amorim E, Vespa P, Moorman JR, Hu X, Clermont G, Park S, Kamaleswaran R, Foreman BP, Rosenthal ES. Neurocritical Care Performance Measures Derived from Electronic Health Record Data are Feasible and Reveal Site-Specific Variation: A CHoRUS Pilot Project. Neurocrit Care 2022; 37:276-290. [PMID: 35689135 DOI: 10.1007/s12028-022-01497-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 03/23/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND We evaluated the feasibility and discriminability of recently proposed Clinical Performance Measures for Neurocritical Care (Neurocritical Care Society) and Quality Indicators for Traumatic Brain Injury (Collaborative European NeuroTrauma Effectiveness Research in TBI; CENTER-TBI) extracted from electronic health record (EHR) flowsheet data. METHODS At three centers within the Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI consortium, we examined consecutive neurocritical care admissions exceeding 24 h (03/2015-02/2020) and evaluated the feasibility, discriminability, and site-specific variation of five clinical performance measures and quality indicators: (1) intracranial pressure (ICP) monitoring (ICPM) within 24 h when indicated, (2) ICPM latency when initiated within 24 h, (3) frequency of nurse-documented neurologic assessments, (4) intermittent pneumatic compression device (IPCd) initiation within 24 h, and (5) latency to IPCd application. We additionally explored associations between delayed IPCd initiation and codes for venous thromboembolism documented using the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) system. Median (interquartile range) statistics are reported. Kruskal-Wallis tests were measured for differences across centers, and Dunn statistics were reported for between-center differences. RESULTS A total of 14,985 admissions met inclusion criteria. ICPM was documented in 1514 (10.1%), neurologic assessments in 14,635 (91.1%), and IPCd application in 14,175 (88.5%). ICPM began within 24 h for 1267 (83.7%), with site-specific latency differences among sites 1-3, respectively, (0.54 h [2.82], 0.58 h [1.68], and 2.36 h [4.60]; p < 0.001). The frequency of nurse-documented neurologic assessments also varied by site (17.4 per day [5.97], 8.4 per day [3.12], and 15.3 per day [8.34]; p < 0.001) and diurnally (6.90 per day during daytime hours vs. 5.67 per day at night, p < 0.001). IPCds were applied within 24 h for 12,863 (90.7%) patients meeting clinical eligibility (excluding those with EHR documentation of limiting injuries, actively documented as ambulating, or refusing prophylaxis). In-hospital venous thromboembolism varied by site (1.23%, 1.55%, and 5.18%; p < 0.001) and was associated with increased IPCd latency (overall, 1.02 h [10.4] vs. 0.97 h [5.98], p = 0.479; site 1, 2.25 h [10.27] vs. 1.82 h [7.39], p = 0.713; site 2, 1.38 h [5.90] vs. 0.80 h [0.53], p = 0.216; site 3, 0.40 h [16.3] vs. 0.35 h [11.5], p = 0.036). CONCLUSIONS Electronic health record-derived reporting of neurocritical care performance measures is feasible and demonstrates site-specific variation. Future efforts should examine whether performance or documentation drives these measures, what outcomes are associated with performance, and whether EHR-derived measures of performance measures and quality indicators are modifiable.
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Affiliation(s)
- Sophie E Ack
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Shamelia Y Loiseau
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.,Department of Neurology, New York-Presbyterian Hospital, New York, NY, USA
| | - Guneeti Sharma
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Joshua N Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - India A Lissak
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Sarah M Duffy
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Edilberto Amorim
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Paul Vespa
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Joseph Randall Moorman
- Department of Medicine, Cardiovascular Division, University of Virginia, Charlottesville, VA, USA
| | - Xiao Hu
- School of Nursing and Center for Data Science, Emory University, Atlanta, GA, USA
| | - Gilles Clermont
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Soojin Park
- Departments of Neurology and Biomedical Informatics, Columbia University, New York, NY, USA
| | | | - Brandon P Foreman
- Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
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Huang WC, Chen YJ, Lin MHC, Lee MH. Analysis of neurosurgical procedures with unplanned reoperation for quality improvement: A 5-year single hospital study. Medicine (Baltimore) 2021; 100:e28403. [PMID: 34967375 PMCID: PMC8718219 DOI: 10.1097/md.0000000000028403] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 12/02/2021] [Indexed: 01/05/2023] Open
Abstract
The unplanned return to the operating room rate is a quality metric for assessing hospital performance. This study aimed to evaluate the cause, incidence, and time interval of unplanned returns in index neurosurgical procedures within 30 days of the initial surgery as an internal audit. We retrospectively analyzed neurosurgical procedures between January 2015, and December 2019, in a single regional hospital. The definition of an unplanned return to the operating room was a patient who underwent two operations within 30 days when the second procedure was not planned, staged, or related to the natural course of the disease.A total of 4365 patients were identified in our analysis, of which 93 (2%) had an unplanned return to the operating room within 30 days of their initial surgery during admission. The most common reason for an unplanned return to the operating room for a cranial procedure was hemorrhage, followed by hydrocephalus and subdural effusion, which accounted for 49.5%(46/93), 12%(11/93), and 5.4%(5/93) of cases, respectively. In spinal procedures, the most common cause of return was a residual disc, followed by surgical site infection, which accounted for 5.4%(5/93) and 4.3%(4/93) of cases, respectively. The overall median time interval for unplanned returns to the operating room was 3 days (interquartile range, 1-9).Lowering the rate of postoperative hemorrhage in cranial surgery and postoperative residual disc in spine surgery was crucial as an internal audit in a 5-year single institute follow-up. However, the unplanned reoperation rate is less helpful in benchmarking because of the heterogeneity of patients between hospitals.
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Affiliation(s)
- Wei-Chao Huang
- Department of Neurosurgery, Chang Gung Memorial Hospital, Chia-Yi Branch, Pu Tz City, Chia-Yi, Taiwan
| | - Yin-Ju Chen
- Department of Neurosurgery, Chang Gung Memorial Hospital, Chia-Yi Branch, Pu Tz City, Chia-Yi, Taiwan
| | - Martin Hsiu-Chu Lin
- Department of Neurosurgery, Chang Gung Memorial Hospital, Chia-Yi Branch, Pu Tz City, Chia-Yi, Taiwan
| | - Ming-Hsueh Lee
- Department of Neurosurgery, Chang Gung Memorial Hospital, Chia-Yi Branch, Pu Tz City, Chia-Yi, Taiwan
- College of Medicine, Chang Gung University, Tao-Yuan, Taiwan
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Madsen FA, Andreasen TH, Lindschou J, Gluud C, Møller K. Ketamine for critically ill patients with severe acute brain injury: Protocol for a systematic review with meta-analysis and Trial Sequential Analysis of randomised clinical trials. PLoS One 2021; 16:e0259899. [PMID: 34780543 PMCID: PMC8592463 DOI: 10.1371/journal.pone.0259899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/28/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Intensive care for patients with severe acute brain injury aims both to treat the immediate consequences of the injury and to prevent and treat secondary brain injury to ensure a good functional outcome. Sedation may be used to facilitate mechanical ventilation, for treating agitation, and for controlling intracranial pressure. Ketamine is an N-methyl-D-aspartate receptor antagonist with sedative, analgesic, and potentially neuroprotective properties. We describe a protocol for a systematic review of randomised clinical trials assessing the beneficial and harmful effects of ketamine for patients with severe acute brain injury. METHODS AND ANALYSIS We will systematically search international databases for randomised clinical trials, including CENTRAL, MEDLINE, Embase, and trial registries. Two authors will independently review and select trials for inclusion, and extract data. We will compare ketamine by any regimen versus placebo, no intervention, or other sedatives or analgesics for patients with severe acute brain injury. The primary outcomes will be functional outcome at maximal follow up, quality of life, and serious adverse events. We will also assess secondary and exploratory outcomes. The extracted data will be analysed using Review Manager and Trials Sequential Analysis. Evidence certainty will be graded using GRADE. ETHICS AND DISSEMINATION The results of the systematic review will be disseminated through peer-reviewed publication. With the review, we hope to inform future randomised clinical trials and improve clinical practice. PROSPERO NO CRD42021210447.
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Affiliation(s)
- Frederik Andreas Madsen
- Department of Neuroanaesthesiology, Neuroscience Centre, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
| | - Trine Hjorslev Andreasen
- Department of Neurosurgery, Neuroscience Centre, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jane Lindschou
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
| | - Christian Gluud
- Copenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
- Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Kirsten Møller
- Department of Neuroanaesthesiology, Neuroscience Centre, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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13
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Azevedo OAD, Cruz DDALMD. Quality indicators of the nursing process documentation in clinical practice. Rev Bras Enferm 2021; 74:e20201355. [PMID: 34320097 DOI: 10.1590/0034-7167-2020-1355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 03/05/2021] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVES to propose quality indicators for clinical nursing documentation. METHODS methodological study in which literature review guided the composition of an instrument for evaluating nursing documentation. Two independent professionals evaluated 204 medical records of adult patients. The analysis of this assessment generated quality indicators for clinical nursing documentation. Inter-rater agreement was analyzed by Cohen's kappa. RESULTS the bibliographic review, analysis by experts and pre-test resulted in 88 evaluation items distributed in seven topics; in 88.5% of the items, inter-rater agreement between strong and almost perfect (k=0.61-1.0) was observed. Analysis of the evaluations generated a global indicator and seven partial indicators of documentation quality. Compliance in the two services ranged between 62.3% and 93.4%. The global indicator showed a 2.1% difference between services. CONCLUSIONS seven quality indicators of clinical nursing documentation and their method of application in hospital records have been proposed.
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Mirza M, Harrison EA, Miller KA, Jacobs EA. Indicators of Quality Rehabilitation Services for Individuals with Limited English Proficiency: A 3-Round Delphi Study. Arch Phys Med Rehabil 2021; 102:2125-2133. [PMID: 34052214 DOI: 10.1016/j.apmr.2021.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 04/09/2021] [Accepted: 04/16/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To obtain expert consensus on indicators of quality rehabilitation services for individuals with limited English proficiency (LEP). DESIGN Three-round Delphi study. SETTING Delphi survey conducted online with 30 experts. Most experts worked in adult physical rehabilitation settings and were from Illinois (n=16), and the remaining participants were from 8 other US states or Canadian provinces. PARTICIPANTS Experts (N=30) had a minimum of 2 publications on health care services for patients with LEP and/or a minimum of 5 years clinical experience in physical rehabilitation. Of 43 experts (11 researchers, 32 clinicians) who received the round 1 survey by e-mail, 30 returned complete responses (70% response rate). Of those, 25 completed round 2 and 24 completed round 3. Of round 1 participants, most (n =21) identified their primary professional activity as clinical, whereas the others worked in research (n =5) or education (n =4). Twenty-four were women. The median age was 43 years (range, 27-67y). Disciplines included occupational therapy (n =14), physical therapy (n =13), psychology (n=1), nursing (n=1), and medicine (n=1). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Indicators were rated on a 7-point Likert scale for importance and feasibility. Interquartile range (IQR) and 95% confidence intervals were calculated for importance and feasibility ratings. Indicators with an IQR <2 and a median importance score ≥6 were accepted as reaching consensus for importance. RESULTS Round 1 responses were categorized into 15 structural, 13 process, and 18 outcome indicators. All 15 structural indicators reached consensus for importance; 8 were rated as feasible. All 13 process indicators reached consensus, of which 8 were deemed feasible. Sixteen outcome indicators reached consensus, of which 7 were deemed feasible. CONCLUSIONS This Delphi study identified structural, process, and outcome indicators that can inform delivery and assessment of quality rehabilitation services for individuals with LEP. Future research should operationalize and measure these quality indicators in clinical practice.
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Affiliation(s)
- Mansha Mirza
- Department of Occupational Therapy, University of Illinois at Chicago, Chicago, IL.
| | - Elizabeth A Harrison
- Department of Occupational Therapy, University of Illinois at Chicago, Chicago, IL
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Trogrlic Z, van der Jagt M, van Achterberg T, Ponssen H, Schoonderbeek J, Schreiner F, Verbrugge S, Dijkstra A, Bakker J, Ista E. Prospective multicentre multifaceted before-after implementation study of ICU delirium guidelines: a process evaluation. BMJ Open Qual 2020; 9:bmjoq-2019-000871. [PMID: 32948600 PMCID: PMC7511605 DOI: 10.1136/bmjoq-2019-000871] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 04/16/2020] [Accepted: 05/26/2020] [Indexed: 11/25/2022] Open
Abstract
Objective We aimed to explore: the exposure of healthcare workers to a delirium guidelines implementation programme; effects on guideline adherence at intensive care unit (ICU) level; impact on knowledge and barriers, and experiences with the implementation. Design A mixed-methods process evaluation of a prospective multicentre implementation study. Setting Six ICUs. Participants 4449 adult ICU patients and 500 ICU professionals approximately. Intervention A tailored implementation programme. Main outcome measure Adherence to delirium guidelines recommendations at ICU level before, during and after implementation; knowledge and perceived barriers; and experiences with the implementation. Results Five of six ICUs were exposed to all implementation strategies as planned. More than 85% followed the required e-learnings; 92% of the nurses attended the clinical classroom lessons; five ICUs used all available implementation strategies and perceived to have implemented all guideline recommendations (>90%). Adherence to predefined performance indicators (PIs) at ICU level was only above the preset target (>85%) for delirium screening. For all other PIs, the inter-ICU variability was between 34% and 72%. The implementation of delirium guidelines was feasible and successful in resolving the majority of barriers found before the implementation. The improvement was well sustained 6 months after full guideline implementation. Knowledge about delirium was improved (from 61% to 65%). The implementation programme was experienced as very successful. Conclusions Multifaceted implementation can improve and sustain adherence to delirium guidelines, is feasible and can largely be performed as planned. However, variability in delirium guideline adherence at individual ICUs remains a challenge, indicating the need for more tailoring at centre level.
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Affiliation(s)
- Zoran Trogrlic
- Department of Intensive Care, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mathieu van der Jagt
- Department of Intensive Care, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Theo van Achterberg
- Public Health and Primary Care, Academic Centre for Nursing and Midwifery, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Huibert Ponssen
- Department of Intensive Care, Albert Schweitzer Ziekenhuis, Dordrecht, The Netherlands
| | | | - Frodo Schreiner
- Department of Intensive Care, IJsselland Ziekenhuis, Capelle aan den IJssel, The Netherlands
| | - Serge Verbrugge
- Department of Intensive Care, Sint Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands
| | - Annemieke Dijkstra
- Department of Intensive Care, Maasstad Ziekenhuis, Rotterdam, The Netherlands
| | - Jan Bakker
- Department of Intensive Care, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Pulmonology and Critical Care, New York University - Langone, New York, New York, USA.,Department of Pulmonology and Critical Care, Columbia University Medical Center, New York Presbyterian, New York, New York, USA.,Department of Intensive Care, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Erwin Ista
- Department of Pediatric Surgery, Intensive Care Unit, Erasmus MC Sophia Kinderziekenhuis, Rotterdam, The Netherlands.,Department of Internal Medicine, Nursing Science, Erasmus MC, Rotterdam, The Netherlands
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16
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Dijkland SA, Helmrich IRAR, Nieboer D, van der Jagt M, Dippel DWJ, Menon DK, Stocchetti N, Maas AIR, Lingsma HF, Steyerberg EW. Outcome Prediction after Moderate and Severe Traumatic Brain Injury: External Validation of Two Established Prognostic Models in 1742 European Patients. J Neurotrauma 2020; 38:1377-1388. [PMID: 33161840 DOI: 10.1089/neu.2020.7300] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticoid Randomisation After Significant Head injury (CRASH) prognostic models predict functional outcome after moderate and severe traumatic brain injury (TBI). We aimed to assess their performance in a contemporary cohort of patients across Europe. The Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) core study is a prospective, observational cohort study in patients presenting with TBI and an indication for brain computed tomography. The CENTER-TBI core cohort consists of 4509 TBI patients available for analyses from 59 centers in 18 countries across Europe and Israel. The IMPACT validation cohort included 1173 patients with GCS ≤12, age ≥14, and 6-month Glasgow Outcome Scale-Extended (GOSE) available. The CRASH validation cohort contained 1742 patients with GCS ≤14, age ≥16, and 14-day mortality or 6-month GOSE available. Performance of the three IMPACT and two CRASH model variants was assessed with discrimination (area under the receiver operating characteristic curve; AUC) and calibration (comparison of observed vs. predicted outcome rates). For IMPACT, model discrimination was good, with AUCs ranging between 0.77 and 0.85 in 1173 patients and between 0.80 and 0.88 in the broader CRASH selection (n = 1742). For CRASH, AUCs ranged between 0.82 and 0.88 in 1742 patients and between 0.66 and 0.80 in the stricter IMPACT selection (n = 1173). Calibration of the IMPACT and CRASH models was generally moderate, with calibration-in-the-large and calibration slopes ranging between -2.02 and 0.61 and between 0.48 and 1.39, respectively. The IMPACT and CRASH models adequately identify patients at high risk for mortality or unfavorable outcome, which supports their use in research settings and for benchmarking in the context of quality-of-care assessment.
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Affiliation(s)
- Simone A Dijkland
- Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands
| | - Isabel R A Retel Helmrich
- Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands
| | - Daan Nieboer
- Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands
| | - Mathieu van der Jagt
- Department of Intensive Care, Erasmus MC-University Medical Center, Rotterdam, the Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC-University Medical Center, Rotterdam, the Netherlands
| | - David K Menon
- Division of Anesthesia, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Nino Stocchetti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Department of Anesthesia and Critical Care, Neuroscience Intensive Care Unit, Milan, Italy
| | - Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Hester F Lingsma
- Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands
| | - Ewout W Steyerberg
- Department of Public Health, Center for Medical Decision Making, Erasmus MC-University Medical Center, Rotterdam, the Netherlands.,Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
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Identification of quality gaps in healthcare services using the SERVQUAL instrument and importance-performance analysis in medical intensive care: a prospective study at a medical center in Taiwan. BMC Health Serv Res 2020; 20:908. [PMID: 32993641 PMCID: PMC7523493 DOI: 10.1186/s12913-020-05764-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 09/24/2020] [Indexed: 11/10/2022] Open
Abstract
Background Assessing patients’ expectations and perceptions of health service delivery is challenging. To understand the service quality in intensive care units (ICUs), we investigated the expected and perceived service quality of ICU care. Methods We conducted this study at an ICU of a university-affiliated medical center in Taiwan from April to September 2019. Admitted patients or their family members responded to a questionnaire survey adopted from the SERVQUAL instrument consisting of 22 items in five dimensions. The questionnaire was provided on ICU admission for expectation and before ICU discharge for perception. We analyzed the quality gaps between the surveys and applied important-performance analysis (IPA). Results A total of 117 patients were included (62.4% males, average age: 65.9 years, average length of stay: 10.1 days, and 76.9% survival to ICU discharge). The overall weighted mean scores for the surveys were similar (4.57 ± 0.81 and 4.58 ± 0.52, respectively). The ‘tangibles’ dimension had a higher perception than expectation (3.99 ± 0.55 and 4.31 ± 0.63 for expectation and perception, respectively, p < 0.001). IPA showed that most of the items in ‘reliability,’ ‘responsiveness’ and ‘assurance’ were located in the quadrant of high expectation and high perception, whereas most of the items in ‘tangibles’ and ‘empathy’ were located in the quadrant of low expectation and low perception. One item (item 1 for ‘tangibles’) was found in the quadrant of high expectation and low perception. Conclusions The SERVQUAL approach and IPA might provide useful information regarding the feedback by patients and their families for ICU service quality. In most aspects, the performance of the ICU satisfactorily matched the needs perceived by the patients and their families.
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Ercole A, Brinck V, George P, Hicks R, Huijben J, Jarrett M, Vassar M, Wilson L. Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD). J Clin Transl Sci 2020; 4:354-359. [PMID: 33244417 PMCID: PMC7681114 DOI: 10.1017/cts.2020.24] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 03/05/2020] [Accepted: 03/09/2020] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND High-quality data are critical to the entire scientific enterprise, yet the complexity and effort involved in data curation are vastly under-appreciated. This is especially true for large observational, clinical studies because of the amount of multimodal data that is captured and the opportunity for addressing numerous research questions through analysis, either alone or in combination with other data sets. However, a lack of details concerning data curation methods can result in unresolved questions about the robustness of the data, its utility for addressing specific research questions or hypotheses and how to interpret the results. We aimed to develop a framework for the design, documentation and reporting of data curation methods in order to advance the scientific rigour, reproducibility and analysis of the data. METHODS Forty-six experts participated in a modified Delphi process to reach consensus on indicators of data curation that could be used in the design and reporting of studies. RESULTS We identified 46 indicators that are applicable to the design, training/testing, run time and post-collection phases of studies. CONCLUSION The Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD) Guidelines are the first comprehensive set of data quality indicators for large observational studies. They were developed around the needs of neuroscience projects, but we believe they are relevant and generalisable, in whole or in part, to other fields of health research, and also to smaller observational studies and preclinical research. The DAQCORD Guidelines provide a framework for achieving high-quality data; a cornerstone of health research.
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Affiliation(s)
- Ari Ercole
- Department of Medicine, Division of Anaesthesia, University of Cambridge, Cambridge, UK
| | | | - Pradeep George
- International Neuroinformatics Coordinating Facility, Karolinska Institutet, Stockholm, Sweden
| | | | - Jilske Huijben
- Department of Public Health, Center for Medical Decision Sciences, Erasmus MC, Rotterdam, The Netherlands
| | | | - Mary Vassar
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Lindsay Wilson
- Division of Psychology, University of Stirling, Stirling, UK
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