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Meyer G, Mauch M, Seeger Y, Burckhardt M. Experiences of relatives of patients with delirium due to an acute health event - A systematic review of qualitative studies. Appl Nurs Res 2023; 73:151722. [PMID: 37722790 DOI: 10.1016/j.apnr.2023.151722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 07/25/2023] [Accepted: 08/01/2023] [Indexed: 09/20/2023]
Abstract
OBJECTIVE Evaluate relatives' experience of delirium due to an acute health event in a loved person and to compile practical suggestions for health care professionals from these synthesized results. BACKGROUND Delirium resulting from an acute health event places patients at increased risk for prolonged hospitalization and mortality. A delirium episode also affects family members who may assist in the diagnosis and recovery from this condition. INCLUSION CRITERIA Qualitative studies of family members or other caregivers who witnessed patient delirium in a clinical setting were included if they had appropriate verbatim evidence. Studies dealing exclusively with delirium in the context of dementia, cancer, palliative care, or drug dependence were excluded, and if quotes could not be clearly allocated to relatives. METHODS A systematic review of qualitative studies adapted from the Joanna Briggs Institute meta-aggregation approach. A systematic literature search was conducted in CINAHL complete®, MEDLINE®, and several dissertation databases in September 2022. RESULTS Eight qualitative studies based on semi-structured interviews were included. In total 75 findings from 105 relatives were aggregated into 13 categories. Finally, three synthesized findings reveal suggestions for health care professionals: providing information adequately, communication and integration during health care and understanding relatives' perspective on delirium experience. CONCLUSION The identified burdens and needs of relatives should be considered by health care professionals to enhance the delirium experience for them, thus improving patient care by involving relatives with a better understanding.
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Affiliation(s)
- Gesa Meyer
- Department health and nursing science, Duale Hochschule Baden-Württemberg, Tübinger Straße 33, 70178 Stuttgart, Germany
| | - Melanie Mauch
- German Society for Wound Healing and Wound Treatment, Glaubrechtstraße 7, 35392 Gießen, Germany
| | - Yvonne Seeger
- Department health and nursing science, Duale Hochschule Baden-Württemberg, Tübinger Straße 33, 70178 Stuttgart, Germany
| | - Marion Burckhardt
- Department health and nursing science, Duale Hochschule Baden-Württemberg, Tübinger Straße 33, 70178 Stuttgart, Germany.
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Minami T, Watanabe H, Kato T, Ikeda K, Ueno K, Matsuyama A, Maeda J, Sakai Y, Harada H, Kuriyama A, Yamaji K, Kitajima N, Kamei J, Takatani Y, Sato Y, Yamashita Y, Mizota T, Ohtsuru S. Dexmedetomidine versus haloperidol for sedation of non-intubated patients with hyperactive delirium during the night in a high dependency unit: study protocol for an open-label, parallel-group, randomized controlled trial (DEX-HD trial). BMC Anesthesiol 2023; 23:193. [PMID: 37270483 DOI: 10.1186/s12871-023-02158-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/30/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Delirium is common in critically ill patients. Haloperidol has long been used for the treatment of delirium. Dexmedetomidine has recently been used to treat delirium among intubated critically ill patients. However, the efficacy of dexmedetomidine for delirium in non-intubated critically ill patients remains unknown. We hypothesize that dexmedetomidine is superior to haloperidol for sedation of patients with hyperactive delirium, and would reduce the prevalence of delirium among non-intubated patients after administration. We will conduct a randomized controlled trial to compare dexmedetomidine and haloperidol for the treatment of nocturnal hyperactive delirium in non-intubated patients in high dependency units (HDUs). METHODS This is an open-label, parallel-group, randomized controlled trial to compare the efficacy and safety of dexmedetomidine and haloperidol for nocturnal hyperactive delirium in non-intubated patients at two HDUs of a tertiary hospital. We will recruit consecutive non-intubated patients who are admitted to the HDU from the emergency room, and allocate them in a 1:1 ratio to the dexmedetomidine or haloperidol group in advance. The allocated investigational drug will be administered only when participants develop hyperactive delirium (Richmond Agitation-Sedation Scale [RASS] score ≥1 and a positive score on the Confusion Assessment Method for the ICU between 19:00 and 6:00 the next day) during the night at an HDU. Dexmedetomidine is administered continuously, while haloperidol is administered intermittently. The primary outcome is the proportion of participants who achieve the targeted sedation level (RASS score of between -3 and 0) 2h after the administration of the investigational drug. Secondary outcomes include the sedation level and prevalence of delirium on the day following the administration of the investigational drugs, and safety. We plan to enroll 100 participants who develop nocturnal hyperactive delirium and receive one of the two investigational drugs. DISCUSSION This is the first randomized controlled trial to compare the efficacy and safety of dexmedetomidine and haloperidol for sedation of non-intubated critically ill patients with hyperactive delirium in HDUs. The results of this study may confirm whether dexmedetomidine could be another option to sedate patients with hyperactive delirium. TRIAL REGISTRATION Japan Registry of Clinical Trials, jRCT1051220015, registered on 21 April 2022.
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Affiliation(s)
- Takuma Minami
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Hirotoshi Watanabe
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Takao Kato
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
- Institute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Kaori Ikeda
- Institute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Kentaro Ueno
- Department of Biomedical Statistics and Bioinformatics, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Ai Matsuyama
- Department of Nursing, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Junya Maeda
- Department of Nursing, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yoji Sakai
- Department of Nursing, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Hisako Harada
- Department of Nursing, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Akira Kuriyama
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Kyohei Yamaji
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Naoki Kitajima
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Jun Kamei
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yudai Takatani
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yuki Sato
- Department of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yugo Yamashita
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Toshiyuki Mizota
- Department of Anesthesia, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Shigeru Ohtsuru
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
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Zapata C, Garces JJ, Duica K, Restrepo C, Ocampo MV, Velásquez-Tirado JD, Ricardo C, Trzepacz PT, Franco JG. Variables associated with concordance or discordance for delirium diagnosis between referring and consulting physicians at a Tertiary Hospital in Colombia: Prospective observational study. Medicine (Baltimore) 2022; 101:e32096. [PMID: 36626485 PMCID: PMC9750523 DOI: 10.1097/md.0000000000032096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Delirium is an acute state of impaired consciousness and a medical urgency. Its broad range of alterations in mental status make diagnosis challenging. Awareness and accurate provisional diagnosis by nonpsychiatric clinicians are important for prompt management. Because delirium symptoms overlap and mimic other neuropsychiatric conditions, a referral to a consultant psychiatrist is often needed. The aim of this study was to determine the discriminating variables that are associated with concordance or discordance for a DSM-5 delirium diagnosis made by the consultation/liaison (C/L) psychiatrist as compared to the referral diagnosis/reasons given by the referring physicians for inpatients from a Tertiary Hospital in a Latin-American country. Prospective study of a cohort of 399 consecutive patients admitted to any ward of a university hospital in Medellin-Colombia and referred by a specialist physician to the C/L Psychiatry service. Analyses for diagnostic concordance used a nested sample of 140 cases diagnosed with delirium by the psychiatrist. Two multivariate logistic models were run, for delirium diagnosis concordance and discordance between the referring physician and C/L psychiatrist. The referral diagnosis was concordant with that of Psychiatry in 90/140 patients in 64.3%, with 35.7% discordance. Increasing age (OR = 1.024) and internal medicine ward (OR = 3.0) were significantly related (Wald statistic P < .05) to concordance in the multivariate analysis whose model accuracy was 68.6%. Trauma/orthopedics ward (OR = 5.7) and SARS-CoV-2 infection (OR = 3.8) were important contributors to the model fit though not significant. Accuracy of the discordance model was 70.7%, where central nervous system (CNS) disorder (OR = 6.1) and referrals from ICU (OR = 4.9), surgery (OR = 4.6), neurology/neurosurgery (OR = 5.1) and another consultant (OR = 4.7) were significantly related (Wald statistic P < .05), while metabolic/endocrine disorder (OR = 2.7) was important for model fit, but not significant. Concordance for delirium diagnosis was higher from services where education, guidelines and working relationships with C/L Psychiatry could have contributed beneficially whereas, surprisingly, CNS disorders and neurology/neurosurgery services had higher discordance, as well as the ICU. Routine use of brief sensitive delirium assessment tools such as the DDT-Pro could enhance provisional delirium diagnosis.
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Affiliation(s)
- Carolina Zapata
- Grupo de Investigación en Psiquiatría de Enlace (GIPE), Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Juan J. Garces
- Grupo de Investigación en Psiquiatría de Enlace (GIPE), Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Kelly Duica
- Grupo de Investigación en Psiquiatría de Enlace (GIPE), Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Cristóbal Restrepo
- Grupo de Investigación en Psiquiatría de Enlace (GIPE), Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - María V. Ocampo
- Grupo de Investigación en Psiquiatría de Enlace (GIPE), Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Juan D. Velásquez-Tirado
- Grupo de Investigación en Psiquiatría de Enlace (GIPE), Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Carmenza Ricardo
- Grupo de Investigación en Psiquiatría de Enlace (GIPE), Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Paula T. Trzepacz
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - José G. Franco
- Grupo de Investigación en Psiquiatría de Enlace (GIPE), Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Colombia
- * Correspondence: José G. Franco, Facultad de Medicina de la Universidad Pontificia Bolivariana (Campus Robledo), Medellín 050036, Colombia (e-mail: )
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Kamdar BB, Makhija H, Cotton SA, Fine J, Pollack D, Reyes PA, Novelli F, Malhotra A, Needham DM, Martin JL. Development and Evaluation of an Intensive Care Unit Video Series to Educate Staff on Delirium Detection. ATS Sch 2022; 3:535-547. [PMID: 36726713 PMCID: PMC9885989 DOI: 10.34197/ats-scholar.2022-0011oc] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 08/08/2022] [Indexed: 02/04/2023] Open
Abstract
Background Delirium affects up to 80% of patients who are mechanically ventilated in the intensive care unit (ICU) but often goes undetected because of incomplete and/or inaccurate clinician evaluation and documentation. A lack of effective, feasible, and sustainable educational methods represents a key barrier to efforts to optimize, scale, and sustain delirium detection competencies. Progress with such barriers may be addressed with asynchronous video-based education. Objective To evaluate a novel ICU Delirium Video Series for bedside providers via a knowledge assessment quiz and a feedback questionnaire. Methods An interdisciplinary team scripted and filmed an educational ICU Delirium Video Series, providing detailed instruction on delirium detection using the validated CAM-ICU (Confusion Assessment Method for the ICU). A cohort of bedside nurses subsequently viewed and evaluated the ICU Delirium Video Series using a feedback questionnaire and a previously developed knowledge assessment quiz pre- and post-video viewing. Results Twenty nurses from four ICUs viewed the ICU Delirium Video Series and completed the pre-post quiz and questionnaire. Ten (50%) respondents had 10 or more years of ICU experience, and seven (35%) reported receiving no CAM-ICU education locally. After video viewing, overall pre-post scores improved significantly (66% vs. 79%; P < 0.0001). In addition, after video viewing, more nurses reported comfort in their ability to evaluate and manage patients with delirium. Conclusion Viewing the ICU Delirium Video Series resulted in significant improvements in knowledge and yielded valuable feedback. Asynchronous video-based delirium education can improve knowledge surrounding a key bedside competency.
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Affiliation(s)
| | - Hirsh Makhija
- Division of Pulmonary, Critical Care and Sleep Medicine
- Division of Biological Sciences, University of California San Diego, La Jolla, California
| | - Shannon A. Cotton
- Critical Care Unit
- Nursing Education & Development Research Department, University of California San Diego Health, and
| | - Janelle Fine
- Division of Pulmonary, Critical Care and Sleep Medicine
| | - Daniel Pollack
- Critical Care Unit
- Nursing Education & Development Research Department, University of California San Diego Health, and
| | - Paola Alicea Reyes
- School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico
| | - Francesca Novelli
- Critical Care Unit
- Nursing Education & Development Research Department, University of California San Diego Health, and
- School of Nursing, Oregon Health and Science University, Ashland, Oregon
| | - Atul Malhotra
- Division of Pulmonary, Critical Care and Sleep Medicine
| | - Dale M. Needham
- Division of Pulmonary & Critical Care Medicine, Department of Physical Medicine and Rehabilitation, School of Medicine, and
- School of Nursing, Johns Hopkins University, Baltimore, Maryland
| | - Jennifer L. Martin
- Greater Los Angeles Veteran Affairs Healthcare System, Geriatric Research, Education and Clinical Center, Los Angeles, California; and
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
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5
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Castro VM, Hart KL, Sacks CA, Murphy SN, Perlis RH, McCoy TH. Longitudinal validation of an electronic health record delirium prediction model applied at admission in COVID-19 patients. Gen Hosp Psychiatry 2022; 74:9-17. [PMID: 34798580 PMCID: PMC8562039 DOI: 10.1016/j.genhosppsych.2021.10.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To validate a previously published machine learning model of delirium risk in hospitalized patients with coronavirus disease 2019 (COVID-19). METHOD Using data from six hospitals across two academic medical networks covering care occurring after initial model development, we calculated the predicted risk of delirium using a previously developed risk model applied to diagnostic, medication, laboratory, and other clinical features available in the electronic health record (EHR) at time of hospital admission. We evaluated the accuracy of these predictions against subsequent delirium diagnoses during that admission. RESULTS Of the 5102 patients in this cohort, 716 (14%) developed delirium. The model's risk predictions produced a c-index of 0.75 (95% CI, 0.73-0.77) with 27.7% of cases occurring in the top decile of predicted risk scores. Model calibration was diminished compared to the initial COVID-19 wave. CONCLUSION This EHR delirium risk prediction model, developed during the initial surge of COVID-19 patients, produced consistent discrimination over subsequent larger waves; however, with changing cohort composition and delirium occurrence rates, model calibration decreased. These results underscore the importance of calibration, and the challenge of developing risk models for clinical contexts where standard of care and clinical populations may shift.
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Affiliation(s)
- Victor M. Castro
- Center for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA,Research Information Science and Computing, Mass General Brigham, 399 Revolution Drive, Somerville, MA 02145, USA
| | - Kamber L. Hart
- Center for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
| | - Chana A. Sacks
- Department of Medicine, Massachusetts General Hospital, 100 Cambridge Street, Boston, MA 02114, USA
| | - Shawn N. Murphy
- Research Information Science and Computing, Mass General Brigham, 399 Revolution Drive, Somerville, MA 02145, USA,Department of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
| | - Roy H. Perlis
- Center for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
| | - Thomas H. McCoy
- Center for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA,Corresponding author at: Simches Research Building, Massachusetts General Hospital, 185 Cambridge St, 6th Floor, Boston, MA 02114, USA
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Lim XM, Lim ZHT, Ignacio J. Nurses' experiences in the management of delirium among older persons in acute care ward settings: A qualitative systematic review and meta-aggregation. Int J Nurs Stud 2021; 127:104157. [PMID: 35033990 DOI: 10.1016/j.ijnurstu.2021.104157] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 12/06/2021] [Accepted: 12/09/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Delirium is a multifactorial syndrome closely associated with negative hospitalisation outcomes. Given the global growth of the ageing population, delirium becomes increasingly prevalent among older persons. Nurses play a pivotal role in delirium management and receive direct impacts of delirious presentations. Yet, there is a dearth of literature reviewing nurses' experiences. OBJECTIVE To synthesise the best available evidence exploring nurses' experiences in managing delirium of older persons in acute care wards. DESIGN Systematic review of qualitative studies and meta-aggregation. DATA SOURCES Published and unpublished literature between January 2010 and December 2020 were identified from PubMed, Embase, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, PsycINFO and ProQuest. REVIEW METHODS A systematic search strategy was applied in October 2020, with an update in January 2021. Two reviewers independently screened the titles and abstracts and selected the eligible studies after reading the full texts. This review included studies focusing on licensed nurses providing care to patients aged 65 and above, having any type of delirium during their hospitalisation stays in acute care settings. Studies included are qualitative papers with research designs such as phenomenology, ethnography, qualitative descriptive and grounded theory. The eligible studies were appraised independently using The JBI Critical Appraisal Checklist for Qualitative Research. Data of included studies were extracted by two independent reviewers using a standardised form. Findings were synthesised by the meta-aggregative approach. RESULTS Thirty-one papers that considered nurses' (n = 464) experiences in managing older persons' delirium were included. A total of 375 findings were extracted, aggregated into 23 categories, and developed 5 synthesised findings: (i) delirium detection could be hindered when nurses possess a narrowed view of delirium, (ii) nurses navigate through complexity when providing multi-faceted care, (iii) nurses carry personal emotions, assumptions, and identities, (iv) various stakeholders have double-edged influences, and (v) nurses display preferences in their learning needs. CONCLUSION This review informed about nurses' perceptions of delirium, delirious older persons, and their nursing management which were specific to older persons and acute care settings. Nurses should practise self-awareness regarding their own knowledge and attitudes while performing delirium management in older adults. Meanwhile, healthcare professionals and policymakers should make a concerted effort in cultivating a better working environment. Future research of delirium care that specifically investigates with a geriatric perspective would better contribute to the improvement of evidence-based nursing practices for older persons.
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Affiliation(s)
- Xin Min Lim
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Block MD11 Level 2, 10 Medical Drive, Singapore 117597, Singapore.
| | - Zhi Hui Trina Lim
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Block MD11 Level 2, 10 Medical Drive, Singapore 117597, Singapore.
| | - Jeanette Ignacio
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Block MD11 Level 2, 10 Medical Drive, Singapore 117597, Singapore.
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Davies N. Preventing, identifying and managing delirium in nursing homes and acute settings. Nurs Older People 2021; 33:33-42. [PMID: 33655732 DOI: 10.7748/nop.2021.e1259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/07/2020] [Indexed: 11/09/2022]
Abstract
Older people, particularly those in nursing homes, are vulnerable to delirium, which is a condition characterised by confusion. This article outlines the risk factors, prevention, identification and management of delirium in older people in nursing homes and acute settings. It uses a case study approach to encourage nurses to consider the challenges faced in these settings and how they could address delirium. The article also details the multicomponent interventions that can be used for prevention, as well as the available delirium assessment tools, with a focus on selecting tools based on the person's health status and the healthcare setting.
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Affiliation(s)
- Nicola Davies
- Health Psychology Consultancy Ltd, Stoke-on-Trent, England
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8
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Zhang XM, Jiao J, Xie XH, Wu XJ. The Association Between Frailty and Delirium Among Hospitalized Patients: An Updated Meta-Analysis. J Am Med Dir Assoc 2021; 22:527-534. [PMID: 33549566 DOI: 10.1016/j.jamda.2021.01.065] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/12/2021] [Accepted: 01/13/2021] [Indexed: 01/15/2023]
Abstract
OBJECTIVE The aim of our meta-analysis was to update evidence for the association between frailty and delirium in different types of hospitalized patients, given the large volume of new studies with inconsistent results. DESIGN Systematic review and meta-analysis. SETTING AND PARTICIPANTS In this updated meta-analysis, we searched 3 databases (Embase, PubMed, and the Cochrane Library) for observational studies, exploring the association between frailty and delirium from database inception to September 21, 2020, among hospitalized patients. Relevant data were extracted from the studies that were included. A random effects model was conducted to synthesize and pool the effect size of frailty on delirium due to different frailty score instruments, different countries, and various delirium assessments that were used. The participants enrolled in this meta-analysis were hospitalized patients. MEASURES Delirium risk due to frailty. RESULTS A total of 30 independent studies from 9 countries, consisting of 217,623 patients, was identified, and the prevalence of frailty ranged from 16.20% to 78.00%. Frail patients exhibited an increased risk for delirium compared to those without frailty [odds ratio (OR) 2.96, 95% confidence interval (CI) 2.36-3.71]. In addition, different types of hospitalized patients had various OR values, which were 2.43 for selective surgical patients (95% CI 1.88-3.14), 3.61 for medical patients (95% CI 3.61-7.89), 3.76 for urgent surgical patients (95% CI 2.88-4.92), and 6.66 for emergency or critical illness patients (95% CI 1.41-31.47). Subgroup analysis based on the frailty score instrument showed the association still existed when using the Clinical Frailty Scale (OR 4.07, 95% CI 2.71-6.11), FRAIL Scale (OR 2.83, 95% CI 1.56-5.13), Frailty Index (OR 6.15, 95% CI 3.75-10.07), frailty phenotype (OR 2.30, 95%CI 1.35-5.66), or Erasmus Frailty Score (OR 2.79, 95% CI 1.63-4.77). However, an association between frailty and delirium was not observed when the Edmonton Frail Scale was used (OR 1.45, 95% CI 0.91-2.30). CONCLUSIONS AND IMPLICATIONS A 2.96-fold incremental risk of delirium in frail patients underscores the need for early screening of frailty and comprehensive delirium prevention. Appropriate interventions by clinicians should be performed to manage delirium, potentially reducing adverse clinical outcomes for hospitalized patients.
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Affiliation(s)
- Xiao-Ming Zhang
- Department of Nursing, Chinese Academy of Medical Sciences-Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, China
| | - Jing Jiao
- Department of Nursing, Chinese Academy of Medical Sciences-Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, China
| | - Xiao-Hua Xie
- Shenzhen Second People's Hospital, Shenzhen, China
| | - Xin-Juan Wu
- Department of Nursing, Chinese Academy of Medical Sciences-Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), Beijing, China.
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McCoy TH, Castro VM, Hart KL, Perlis RH. Stratified delirium risk using prescription medication data in a state-wide cohort. Gen Hosp Psychiatry 2021; 71:114-120. [PMID: 34091195 PMCID: PMC8249339 DOI: 10.1016/j.genhosppsych.2021.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 05/03/2021] [Accepted: 05/03/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Delirium is a common condition associated with increased morbidity and mortality. Medication side effects are a possible source of modifiable delirium risk and provide an opportunity to improve delirium predictive models. This study characterized the risk for delirium diagnosis by applying a previously validated algorithm for calculating central nervous system adverse effect burden arising from a full medication list. METHOD Using a cohort of hospitalized adult (age 18-65) patients from the Massachusetts All-Payers Claims Database, we calculated medication burden following hospital discharge and characterized risk of new coded delirium diagnosis over the following 90 days. We applied the resulting model to a held-out test cohort. RESULTS The cohort included 62,180 individuals of whom 1.6% (1019) went on to have a coded delirium diagnosis. In the training cohort (43,527 individuals), the medication burden feature was positively associated with delirium diagnosis (OR = 5.75, 95% CI 4.34-7.63) and this association persisted (aOR = 1.95; 1.31-2.92) after adjusting for demographics, clinical features, prescribed medications, and anticholinergic risk score. In the test cohort, the trained model produced an area under the curve of 0.80 (0.78-0.82). This performance was similar across subgroups of age and gender. CONCLUSION Aggregating brain-related medication adverse effects facilitates identification of individuals at high risk of subsequent delirium diagnosis.
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Affiliation(s)
- Thomas H McCoy
- Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA.
| | - Victor M Castro
- Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA.
| | - Kamber L Hart
- Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA.
| | - Roy H Perlis
- Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA.
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Nydahl P, Deffner T. Use of Diaries in Intensive Care Unit Delirium Patients: German Nursing Perspectives. Crit Care Nurs Clin North Am 2020; 33:37-46. [PMID: 33526197 DOI: 10.1016/j.cnc.2020.10.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Diaries are written for patients in intensive care units by staff and relatives, especially when patients experience a disorder of their consciousness, such as delirium. Diary entries are written in common language, describing the situation of the patient. The diary can be read by the patient and the family and support the coping and understanding of what happened. It can function as a tool for supporting communication about different experiences and views of critical illness.
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Affiliation(s)
- Peter Nydahl
- Nursing Research, Department of Anaesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, Haus V40, Kiel 24105, Germany.
| | - Teresa Deffner
- Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Am Klinikum 1, 07743 Jena, Germany
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