Research on Intensive Care Experiences of Patients in Mechanical Ventilation

Jinliang Hu; Qing Ye; Chanjuan Ji

doi:doi:10.11648/j.ajbio.20190705.12

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Research on Intensive Care Experiences of Patients in Mechanical Ventilation

Jinliang Hu, Qing Ye, Chanjuan Ji

Published in American Journal of BioScience (Volume 7, Issue 5)

Received: 31 August 2019 Published: 8 November 2019

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Abstract

To quantitatively analyse conditions of intensive care experiences and influencing factors of patients. A database was established, it can be seen from the overall experience index that in the SD dimensionality, 46.11% patients have highly bad experiences and 86.11% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in ET dimensionality, 32.78% patients have highly bad experiences and 67.22% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in TII dimensionality, 73.88% patients have moderate and highly bad experiences. LICU and LMV of patients and overall GEI and various factor scores exhibit a significant positive correlation (P<0.05) indicating that the longer the time of mechanical ventilation treatment and length of stay in ICU, the more bad experiences the patients will have; patients' APACHE scores and the overall GEI, dimensionality ET, ACF and TII exhibit a positive correlation (P<0.05) indicating the severer the disease is, the more bad experiences on intensive care the patient will have. Mechanical ventilation duration, disease severity degrees, marital status and age are the major factors influencing intensive care experiences of patients in mechanical ventilation.

Published in	American Journal of BioScience (Volume 7, Issue 5)
DOI	10.11648/j.ajbio.20190705.12
Page(s)	88-93
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Mechanical Ventilation, Intensive Care, Scale

References

[1]	Castro AA. Calil SR. et al. Chest physiotherapy effectiveness to reduce hospitalization and mechanical ventilation length of stay, pulmonary infection rate and mortality in ICU patients [J]. Respir Med, 2019, 107 (1): 68-74.
[2]	Anon JM. Gomez-Tello V. et al. Prognosis of elderly patients subjected to mechanical ventilation in the ICU [J]. Med Intensiva, 2019, 37 (3): 149-155.
[3]	Mealer M. Lareau SC. Pulmonary processes and mechanical ventilation in the ICU patient [J]. Crit Care Nurs Clin North Am, 2018, 24 (3): 152-3.
[4]	Futier E. Chanques G. et al. Influence of opioid choice on mechanical ventilation duration and ICU length of stay [J]. Minerva Anestesiol, 2018, 78 (1): 46-53.
[5]	Penuelas O. Frutos-Vivar F. et al. Unplanned extubation in the ICU: a marker of quality assurance of mechanical ventilation [J]. Crit Care, 2011, 15 (2): 128-9.
[6]	Fanfulla F. Ceriana P. et al. Sleep disturbances in patients admitted to a step-down unit after ICU discharge: the role of mechanical ventilation [J]. Sleep, 2011, 34 (3): 355-62.
[7]	Yiliaz C. Kelebek Girgin N. et al. The effect of nursing-implemented sedation on the duration of mechanical ventilation in the ICU [J]. Ulus Travma Acil Cerrahi Derg, 2010, 16 (6): 521-6.
[8]	Cooke CR. Hotchkin DL. et al. Predictors of time to death after terminal withdrawal of mechanical ventilation in the ICU [J]. Chest, 2010, 138 (2): 289-97.
[9]	Cline SD. Schertz RA. et al. Expedited admission of patients decreases duration of mechanical ventilation and shortens ICU stay [J]. Am J Emerg Med, 2009, 27 (7): 843-6.
[10]	Bennett J. Protocol-directed sedation did not reduce duration of mechanical ventilation or hospital stay in ICU patients [J]. Evid Based Nurs, 2008, 11 (4): 124-6.
[11]	Hewson-Conroy KM. Tierney LT. et al. Assessment and perceptions of intensive care data quality, reporting and use: a survey of ICU directors [J]. Anaesth Intensive Care, 2018, 40 (4): 675-82.
[12]	Weinert CR. Sprenkle M. Post-ICU consequences of patient wakefulness and sedative exposure during mechanical ventilation [J]. Intensive Care Med, 2008, 34 (1): 82-90.
[13]	Gusmao-Flores D. Figueira Salluh JI. The confusion assessment method for the intensive care unit (CAM-ICU) and intensive care delirium screening checklist (ICDSC) for the diagnosis of delirium: a systematic review and meta-analysis of clinical studies [J]. Crit Care, 2018, 16 (4): 115-6.
[14]	Shimizu K. Ogura H. et al. Communicating by electrolarynx with a blind tetraplegic spinal cord injury patient on mechanical ventilation in the ICU [J]. Spinal Cord, 2019, 51 (4): 341-2.
[15]	Brummel NE. Jackson JC. et al. A combined early cognitive and physical rehabilitation program for people who are critically ill: the activity and cognitive therapy in the intensive care unit (ACT-ICU) trial [J]. Phys Ther, 2018, 92 (12): 1580-92.
[16]	Berti JS. Tonon E. et al. Manual hyperinflation combined with expiratory rib cage compression for reduction of length of ICU stay in critically ill patients on mechanical ventilation [J]. J Bras Pneumol, 2018, 38 (4): 477-86.
[17]	Stevens V. Lodise TP. et al. The utility of acute physiology and chronic health evaluation II scores for prediction of mortality among intensive care unit (ICU) and non-ICU patients with methicillin-resistant Staphylococcus aureus bacteremia [J]. Infect Control Hosp Epidemiol, 2018, 33 (6): 558-64.
[18]	Baudry T. Ader F. et al. Non-invasive mechanical ventilation to prevent ICU-acquired infection [J]. Infect Disord Drug Targets, 2011, 11 (4): 384-8.
[19]	Rosenthal M, Gabrielli A, Moore F. The evolution of nutritional support in long term ICU patients: from multisystem organ failure to persistent inflammation immunosuppression catabolism syndrome. Minerva anestesiologica. 2016; 82 (1): 84-96. Epub 2015/02/24.
[20]	Scala R. Esquinas A. Noninvasive mechanical ventilation for very old patients with limitations of care: is the ICU the most appropriate setting? [J]. Crit Care, 2018, 16 (3): 429-31.
[21]	Boogaard M. Pickkers P. et al. Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study [J]. BMJ, 2018, 344 (2): 420-3.
[22]	White AC. Joseph B. et al. Terminal withdrawal of mechanical ventilation at a long-term acute care hospital: comparison with a medical ICU [J]. Chest, 2009, 136 (2): 465-70.
[23]	Bello G. Pennisi MA. et al. Nonthyroidal illness syndrome and prolonged mechanical ventilation in patients admitted to the ICU [J]. Chest, 2009, 135 (6): 1448-54.
[24]	Dibert C. Families with loved ones on mechanical ventilation in the ICU found a way to face "living with dying" [J]. Evid Based Nurs, 2009, 12 (3): 96-8.
[25]	Sihra L. Harris M. et al. Using the improving palliative care in the intensive care unit (IPAL-ICU) project to promote palliative care consultation [J]. J Pain Symptom Manage, 2011, 42 (5): 672-5.
[26]	Santana Cabrera L. Rodriguez Gonzalez F. et al. Outcome of patients requiring mechanical ventilation after discharge of the ICU [J]. Med Clin (Barc), 2009, 132 (13): 525-7.
[27]	Mitasova A. Kostalova M. et al. Poststroke delirium incidence and outcomes: validation of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) [J]. Crit Care Med, 2018, 40(1): 484-90.
[28]	Bambi S. Nursing clinical practice in intensive care unit (ICU) settings [J]. Dimens Crit Care Nurs, 2018, 31 (3): 212-3.
[29]	Pochard F. Psychiatric issues during and after intensive care (ICU) stays [J]. Bull Acad Natl Med, 195 (2): 377-85.
[30]	Loiselle CG. Gelinas C. et al. A pre-post evaluation of the Adler/Sheiner Programme (ASP): a nursing informational programme to support families and nurses in an intensive care unit (ICU) [J]. Intensive Crit Care Nurs, 2018, 28 (1): 32-40.

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APA Style

Jinliang Hu, Qing Ye, Chanjuan Ji. (2019). Research on Intensive Care Experiences of Patients in Mechanical Ventilation. American Journal of BioScience, 7(5), 88-93. https://doi.org/10.11648/j.ajbio.20190705.12

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ACS Style

Jinliang Hu; Qing Ye; Chanjuan Ji. Research on Intensive Care Experiences of Patients in Mechanical Ventilation. Am. J. BioScience 2019, 7(5), 88-93. doi: 10.11648/j.ajbio.20190705.12

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AMA Style

Jinliang Hu, Qing Ye, Chanjuan Ji. Research on Intensive Care Experiences of Patients in Mechanical Ventilation. Am J BioScience. 2019;7(5):88-93. doi: 10.11648/j.ajbio.20190705.12

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@article{10.11648/j.ajbio.20190705.12,
  author = {Jinliang Hu and Qing Ye and Chanjuan Ji},
  title = {Research on Intensive Care Experiences of Patients in Mechanical Ventilation},
  journal = {American Journal of BioScience},
  volume = {7},
  number = {5},
  pages = {88-93},
  doi = {10.11648/j.ajbio.20190705.12},
  url = {https://doi.org/10.11648/j.ajbio.20190705.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbio.20190705.12},
  abstract = {To quantitatively analyse conditions of intensive care experiences and influencing factors of patients. A database was established, it can be seen from the overall experience index that in the SD dimensionality, 46.11% patients have highly bad experiences and 86.11% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in ET dimensionality, 32.78% patients have highly bad experiences and 67.22% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in TII dimensionality, 73.88% patients have moderate and highly bad experiences. LICU and LMV of patients and overall GEI and various factor scores exhibit a significant positive correlation (P<0.05) indicating that the longer the time of mechanical ventilation treatment and length of stay in ICU, the more bad experiences the patients will have; patients' APACHE scores and the overall GEI, dimensionality ET, ACF and TII exhibit a positive correlation (P<0.05) indicating the severer the disease is, the more bad experiences on intensive care the patient will have. Mechanical ventilation duration, disease severity degrees, marital status and age are the major factors influencing intensive care experiences of patients in mechanical ventilation.},
 year = {2019}
}

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TY  - JOUR
T1  - Research on Intensive Care Experiences of Patients in Mechanical Ventilation
AU  - Jinliang Hu
AU  - Qing Ye
AU  - Chanjuan Ji
Y1  - 2019/11/08
PY  - 2019
N1  - https://doi.org/10.11648/j.ajbio.20190705.12
DO  - 10.11648/j.ajbio.20190705.12
T2  - American Journal of BioScience
JF  - American Journal of BioScience
JO  - American Journal of BioScience
SP  - 88
EP  - 93
PB  - Science Publishing Group
SN  - 2330-0167
UR  - https://doi.org/10.11648/j.ajbio.20190705.12
AB  - To quantitatively analyse conditions of intensive care experiences and influencing factors of patients. A database was established, it can be seen from the overall experience index that in the SD dimensionality, 46.11% patients have highly bad experiences and 86.11% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in ET dimensionality, 32.78% patients have highly bad experiences and 67.22% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in TII dimensionality, 73.88% patients have moderate and highly bad experiences. LICU and LMV of patients and overall GEI and various factor scores exhibit a significant positive correlation (P<0.05) indicating that the longer the time of mechanical ventilation treatment and length of stay in ICU, the more bad experiences the patients will have; patients' APACHE scores and the overall GEI, dimensionality ET, ACF and TII exhibit a positive correlation (P<0.05) indicating the severer the disease is, the more bad experiences on intensive care the patient will have. Mechanical ventilation duration, disease severity degrees, marital status and age are the major factors influencing intensive care experiences of patients in mechanical ventilation.
VL  - 7
IS  - 5
ER  -

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Author Information

Jinliang Hu

Department of Operating, Binzhou People's Hospital, Binzhou, China
Qing Ye

Department of Operating, Binzhou People's Hospital, Binzhou, China
Chanjuan Ji

Department of Operating, Binzhou People's Hospital, Binzhou, China

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Plain Text BibTeX RIS

APA Style

Jinliang Hu, Qing Ye, Chanjuan Ji. (2019). Research on Intensive Care Experiences of Patients in Mechanical Ventilation. American Journal of BioScience, 7(5), 88-93. https://doi.org/10.11648/j.ajbio.20190705.12

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ACS Style

Jinliang Hu; Qing Ye; Chanjuan Ji. Research on Intensive Care Experiences of Patients in Mechanical Ventilation. Am. J. BioScience 2019, 7(5), 88-93. doi: 10.11648/j.ajbio.20190705.12

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AMA Style

Jinliang Hu, Qing Ye, Chanjuan Ji. Research on Intensive Care Experiences of Patients in Mechanical Ventilation. Am J BioScience. 2019;7(5):88-93. doi: 10.11648/j.ajbio.20190705.12

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@article{10.11648/j.ajbio.20190705.12,
  author = {Jinliang Hu and Qing Ye and Chanjuan Ji},
  title = {Research on Intensive Care Experiences of Patients in Mechanical Ventilation},
  journal = {American Journal of BioScience},
  volume = {7},
  number = {5},
  pages = {88-93},
  doi = {10.11648/j.ajbio.20190705.12},
  url = {https://doi.org/10.11648/j.ajbio.20190705.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbio.20190705.12},
  abstract = {To quantitatively analyse conditions of intensive care experiences and influencing factors of patients. A database was established, it can be seen from the overall experience index that in the SD dimensionality, 46.11% patients have highly bad experiences and 86.11% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in ET dimensionality, 32.78% patients have highly bad experiences and 67.22% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in TII dimensionality, 73.88% patients have moderate and highly bad experiences. LICU and LMV of patients and overall GEI and various factor scores exhibit a significant positive correlation (P<0.05) indicating that the longer the time of mechanical ventilation treatment and length of stay in ICU, the more bad experiences the patients will have; patients' APACHE scores and the overall GEI, dimensionality ET, ACF and TII exhibit a positive correlation (P<0.05) indicating the severer the disease is, the more bad experiences on intensive care the patient will have. Mechanical ventilation duration, disease severity degrees, marital status and age are the major factors influencing intensive care experiences of patients in mechanical ventilation.},
 year = {2019}
}

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TY  - JOUR
T1  - Research on Intensive Care Experiences of Patients in Mechanical Ventilation
AU  - Jinliang Hu
AU  - Qing Ye
AU  - Chanjuan Ji
Y1  - 2019/11/08
PY  - 2019
N1  - https://doi.org/10.11648/j.ajbio.20190705.12
DO  - 10.11648/j.ajbio.20190705.12
T2  - American Journal of BioScience
JF  - American Journal of BioScience
JO  - American Journal of BioScience
SP  - 88
EP  - 93
PB  - Science Publishing Group
SN  - 2330-0167
UR  - https://doi.org/10.11648/j.ajbio.20190705.12
AB  - To quantitatively analyse conditions of intensive care experiences and influencing factors of patients. A database was established, it can be seen from the overall experience index that in the SD dimensionality, 46.11% patients have highly bad experiences and 86.11% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in ET dimensionality, 32.78% patients have highly bad experiences and 67.22% patients have moderate and highly bad experiences in total plus the patients with moderate scores; in TII dimensionality, 73.88% patients have moderate and highly bad experiences. LICU and LMV of patients and overall GEI and various factor scores exhibit a significant positive correlation (P<0.05) indicating that the longer the time of mechanical ventilation treatment and length of stay in ICU, the more bad experiences the patients will have; patients' APACHE scores and the overall GEI, dimensionality ET, ACF and TII exhibit a positive correlation (P<0.05) indicating the severer the disease is, the more bad experiences on intensive care the patient will have. Mechanical ventilation duration, disease severity degrees, marital status and age are the major factors influencing intensive care experiences of patients in mechanical ventilation.
VL  - 7
IS  - 5
ER  -

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