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Batur M, Özdemir PG, Bilmez Tan R, Şahin Taş Z. Assessment of metacognition and retinal optical coherence tomography findings in shift workers. Chronobiol Int 2024; 41:393-405. [PMID: 38438316 DOI: 10.1080/07420528.2024.2325017] [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: 08/25/2023] [Accepted: 02/25/2024] [Indexed: 03/06/2024]
Abstract
It is known that working in the shift system, especially the night shift, affects physical, mental, and social well-being. We investigated the changes in the inner retinal layers and choroidal layer of the eyes of nurses working night and day shifts using optical coherence tomography (OCT). We also explored the effect of night shift work on metacognition and the relationships between these variables. A total of 79 nurses participated in the study, of whom 40 worked night shifts. The researcher gave the participants sociodemographic information and the Metacognition Questionnaire-30 (MCQ-30) form. Retinal nerve fiber layer (RNFL) thickness, ganglion cell layer (GCL) thickness, inner nuclear layer (INL) thickness, inner plexiform layer (IPL) thickness, central macular thickness (CMT), and subfoveal choroidal thickness (SFCT) were measured with OCT. It was found that the level of metacognitive activity associated with cognitive confidence was higher (p = 0.044) for nurses who worked night shifts and that the level of metacognitive activity associated with cognitive awareness was lower (p = 0.015) for nurses who worked night shifts. RNFL-nasal superior (NS) thickness was lower in night shift workers than the day shift group (p = 0.017). Our study revealed significant relationships between metacognition and the OCT findings among night and day shift workers. Our study revealed that RNFL measurements and metacognitive activity may differ and there may be a relationship between these parameters in nurses who work shifts. Further research is needed to investigate the long-term effects of night shift work on retinal health.
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Affiliation(s)
- Muhammed Batur
- Medical Faculty Department of Ophthalmology, Yuzuncu Yıl University, Van, Turkey
| | - Pınar Güzel Özdemir
- Medical Faculty Department of Psychiatry, Yuzuncu Yil University, Van, Turkey
| | - Rumeysa Bilmez Tan
- Medical Faculty Department of Ophthalmology, Yuzuncu Yıl University, Van, Turkey
| | - Zeynep Şahin Taş
- Medical Faculty Department of Psychiatry, Yuzuncu Yil University, Van, Turkey
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Naef R, Brysiewicz P, Mc Andrew NS, Beierwaltes P, Chiang V, Clisbee D, de Beer J, Honda J, Kakazu S, Nagl-Cupal M, Price AM, Richardson S, Richardson A, Tehan T, Towell-Barnard A, Eggenberger S. Intensive care nurse-family engagement from a global perspective: A qualitative multi-site exploration. Intensive Crit Care Nurs 2021; 66:103081. [PMID: 34116886 DOI: 10.1016/j.iccn.2021.103081] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/31/2021] [Accepted: 04/05/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND Critical illness is distressing for families, and often results in negative effects on family health that influence a family's ability to support their critically ill family member. Although recent attention has been directed at improving care and outcomes for families of critically ill patients, the manner in which nurses engage with families is not fully understood. OBJECTIVES To describe nurses' perceptions and practices of family engagement in adult intensive care units from a global perspective. DESIGN A qualitative-descriptive multi-site design using content analysis. SETTINGS The study was conducted in 26 intensive care units of 12 urban, metropolitan, academic medical centers in ten countries, spanning five continents. PARTICIPANTS A total of 65 registered nurses (77% women, age of M = 39.5, SD = 11.4 years) participated. Most held intensive care certification (72%) and had worked on average 10 (SD = 9.6) years in the ICU. METHODS Semi-structured, individual interviews (M = 38.4 min, SD = 12.0) were held with ICU nurses at the hospital (94%) or their home using an interview guide. Qualitative interview data were analysed using inductive content analysis. RESULTS We found that nurse-family engagement was an ebb and flow of relational power that needed to be carefully negotiated and balanced, with nurses holding and often exerting more power than families. Constant fluctuations in nurses' practices of engagement occurred in day-to-day practice from shift-to-shift and from nurse-to-nurse. Family engagement was dependent on individual nurses' attitudes and perceptions of family, the patient's condition, and workload. Lastly, family engagement was shaped by the ICU context, with team culture, collaborative relationships, unit structures and organizational resources either enabling or limiting nurses' ability to engage with families. CONCLUSIONS This global study provides an in-depth understanding of the way nurses engage with families in ICU and reflects many different cultures and health systems. We found that nurse-family engagement was marked by a shifting, yet often unequal power distribution in the nurse-family relationship, inconsistent nurse engagement practices, both of which resulted in variable family engagement in intensive care. Our research contributes a detailed description of engagement as practiced in the everyday delivery of health care. A more concentrated team effort, based on a shared culture and defined framework of family care is needed to ensure that families of critically ill persons are fully engaged in all aspects of intensive care.
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Affiliation(s)
- Rahel Naef
- Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zurich, Universitätstrasse 84, 8006 Zurich, Switzerland; Centre of Clinical Nursing Science, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland.
| | - Petra Brysiewicz
- School of Nursing & Public Health, University of KwaZulu-Natal, King George Mazisi Kunene Road, Glenwood, Durban 4041, South Africa.
| | - Natalie S Mc Andrew
- College of Nursing, University of Wisconsin-Milwaukee, Cunningham Hall, 1921 East Hartford Avenue, P.O. Box 413, Milwaukee, WI 53201-0413, USA; Froedtert & the Medical College of Wisconsin, Froedtert Hospital, 9200 West Wisconsin Avenue, Milwaukee, WI 53226, USA.
| | - Patricia Beierwaltes
- College of Allied Health and Nursing, School of Nursing, Minnesota State University, 360 Wissink Hall, Mankato, MN 56001, USA.
| | - Vico Chiang
- School of Nursing, The Hong Kong Polytechnic University, 11 Yuk Choi Road, Hung Hom, Kowloon, Hong Kong.
| | - David Clisbee
- College of Science, Engineering and Technology, Computer Information Science Department, Minnesota State University, 273 Wissink Hall, Mankato, MN 56001, USA.
| | - Jennifer de Beer
- College of Nursing-Jeddah, King Saud bin Abdul Aziz University for Health Sciences-Jeddah, Makkah Highway, Al Haramain Road, Mail Code 65 65, PO Box 9515, Saudi Arabia.
| | - Junko Honda
- Child Health Nursing, College of Nursing Art and Science, University of Hyogo, 13-71, Kitaoji-cho, Akashi, Hyogo 673-8588, Japan.
| | - Shota Kakazu
- Child Health Nursing, Graduate School of Nursing Sciences, St. Luke's International University, 10-1 Akashi-cho, Chuo-ku, Tokyo 104-0044, Japan.
| | - Martin Nagl-Cupal
- Department of Nursing Science, University of Vienna, Alser Strasse 23/12, 1080 Vienna, Austria.
| | - Ann M Price
- School of Nursing, Midwifery and Social Work, Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, North Holmes Road, Canterbury, Kent CT1 1QU, United Kingdom.
| | - Sandra Richardson
- School of Health Sciences, College of Education, Health and Human Development, University of Canterbury, 276 Antigua Street, Christchurch 8011, New Zealand; Emergency Department, Christchurch Hospital, Canterbury District Health Board, 2 Riccarton Avenue, Christchurch 8011, New Zealand.
| | - Anna Richardson
- Bachelor of Nursing Programme, Department of Health Practice, Manawa, Ara Institute of Canterbury Ltd, 276 Antigua Street, Christchurch 8140, New Zealand.
| | - Tara Tehan
- University of Massachusetts Medical School, Graduate School of Nursing, 55 Lake Ave North, Worcester, MA 01655, USA.
| | - Amanda Towell-Barnard
- School of Nursing & Midwifery, Edith Cowan University, 270 Joondalup Drive, Western Australia 6027, Australia; Sir Charles Gairdner Hospital, Centre for Nursing Research, Hospital Avenue, Nedlands, Western Australia 6009, Australia.
| | - Sandra Eggenberger
- College of Allied Health and Nursing, Glen Taylor Nursing Institute for Family and Society, Minnesota State University, 360 Wissink Hall and 351 7700 France, Mankato, MN 56001, USA.
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McFarlane DC, Doig AK, Agutter JA, Brewer LM, Syroid ND, Mittu R. Faster clinical response to the onset of adverse events: A wearable metacognitive attention aid for nurse triage of clinical alarms. PLoS One 2018; 13:e0197157. [PMID: 29768477 PMCID: PMC5955574 DOI: 10.1371/journal.pone.0197157] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 04/27/2018] [Indexed: 11/18/2022] Open
Abstract
Objective This study evaluates the potential for improving patient safety by introducing a metacognitive attention aid that enables clinicians to more easily access and use existing alarm/alert information. It is hypothesized that this introduction will enable clinicians to easily triage alarm/alert events and quickly recognize emergent opportunities to adapt care delivery. The resulting faster response to clinically important alarms/alerts has the potential to prevent adverse events and reduce healthcare costs. Materials and methods A randomized within-subjects single-factor clinical experiment was conducted in a high-fidelity 20-bed simulated acute care hospital unit. Sixteen registered nurses, four at a time, cared for five simulated patients each. A two-part highly realistic clinical scenario was used that included representative: tasking; information; and alarms/alerts. The treatment condition introduced an integrated wearable attention aid that leveraged metacognition methods from proven military systems. The primary metric was time for nurses to respond to important alarms/alerts. Results Use of the wearable attention aid resulted in a median relative within-subject improvement for individual nurses of 118% (W = 183, p = 0.006). The top quarter of relative improvement was 3,303% faster (mean; 17.76 minutes reduced to 1.33). For all unit sessions, there was an overall 148% median faster response time to important alarms (8.12 minutes reduced to 3.27; U = 2.401, p = 0.016), with 153% median improvement in consistency across nurses (F = 11.670, p = 0.001). Discussion and conclusion Existing device-centric alarm/alert notification solutions can require too much time and effort for nurses to access and understand. As a result, nurses may ignore alarms/alerts as they focus on other important work. There has been extensive research on reducing alarm frequency in healthcare. However, alarm safety remains a top problem. Empirical observations reported here highlight the potential of improving patient safety by supporting the meta-work of checking alarms.
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Affiliation(s)
- Daniel C. McFarlane
- Patient Care & Monitoring Solutions, Innovation Office, Royal Philips, Andover, Massachusetts, United States of America
- * E-mail:
| | - Alexa K. Doig
- College of Nursing, University of Utah, Salt Lake City, Utah, United States of America
| | - James A. Agutter
- College of Architecture & Planning, University of Utah, Salt Lake City, Utah, United States of America
- Applied Medical Visualizations (Medvis), Salt Lake City, Utah, United States of America
| | - Lara M. Brewer
- Department of Anesthesiology, University of Utah Health Sciences Center, Salt Lake City, Utah, United States of America
| | - Noah D. Syroid
- Applied Medical Visualizations (Medvis), Salt Lake City, Utah, United States of America
- Anesthesiology Center for Patient Simulation, University of Utah, Salt Lake City, Utah, United States of America
| | - Ranjeev Mittu
- Information Technology Division, Information Management and Decision Architectures Branch, United States Naval Research Laboratory, Washington, District of Columbia, United States of America
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