IDEAS home Printed from https://ideas.repec.org/a/wly/jocnur/v28y2019i23-24p4367-4378.html
   My bibliography  Save this article

Clinical indicators of nursing outcomes classification for patient with risk for perioperative positioning injury: A cohort study

Author

Listed:
  • Luciana Bjorklund‐Lima
  • Maria Müller‐Staub
  • Michelle Cardoso e Cardozo
  • Daniela de Souza Bernardes
  • Eneida Rejane Rabelo‐Silva

Abstract

Aims and objectives To test the validity and reliability of Nursing Outcomes Classification outcomes and their clinical indicators for patients with the nursing diagnosis ‘Risk for perioperative positioning injury’. Background Surgical positioning is an essential part of perioperative nursing practice. The use of a standardised language values the clinical evaluation of the perioperative nurse, reinforcing its contribution to surgical patient care. Design Longitudinal concept validation cohort study. Methods Patients were selected based on the operating room surgical schedule. The sample included adult patients who underwent elective surgical procedures requiring anaesthesia, classified as surgical class 2, 3 or 4. Outcomes were measured with an instrument, which included 33 clinical indicators for eight outcomes. The patients were assessed at five distinct time points in the perioperative phases. This study followed the STROBE guidelines. Results A total of 50 patients were included. Each underwent five clinical assessments, for a total of 250 documented assessments. Differences in evaluations were mostly related to reduced scores of clinical indicators in the immediate postsurgical time points, which recovered to the highest score at the end of the fifth (and last) evaluation. The results of factor analysis and Cronbach's alpha calculations suggested a new configuration for this nursing outcomes, consisting of five outcomes—Circulation Status, Tissue Perfusion: peripheral, Neurological Status: peripheral, Tissue Integrity: skin and mucous membranes and Thermoregulation—and 13 clinical indicators. Conclusions Nursing Outcomes Classification outcomes and clinical indicators for the nursing diagnosis at ‘Risk for perioperative positioning injury’ are sensitive to patient states during the perioperative period. Relevance to clinical practice Use of nursing taxonomies during the perioperative period may contribute to the discussion on the role of perioperative nurses and their relevance in patient care.

Suggested Citation

  • Luciana Bjorklund‐Lima & Maria Müller‐Staub & Michelle Cardoso e Cardozo & Daniela de Souza Bernardes & Eneida Rejane Rabelo‐Silva, 2019. "Clinical indicators of nursing outcomes classification for patient with risk for perioperative positioning injury: A cohort study," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(23-24), pages 4367-4378, December.
    • Handle: RePEc:wly:jocnur:v:28:y:2019:i:23-24:p:4367-4378
    DOI: 10.1111/jocn.15019
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jocn.15019
    Download Restriction: no
    File URL: https://libkey.io/10.1111/jocn.15019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ling Gao & Lina Yang & Xiaoqin Li & Jin Chen & Juan Du & Xiaoxia Bai & Xianjun Yang, 2018. "The use of a logistic regression model to develop a risk assessment of intraoperatively acquired pressure ulcer," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(15-16), pages 2984-2992, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Odai Y. Dweekat & Sarah S. Lam & Lindsay McGrath, 2023. "An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur," IJERPH, MDPI, vol. 20(1), pages 1-19, January.
    2. Odai Y. Dweekat & Sarah S. Lam & Lindsay McGrath, 2023. "An Integrated System of Braden Scale and Random Forest Using Real-Time Diagnoses to Predict When Hospital-Acquired Pressure Injuries (Bedsores) Occur," IJERPH, MDPI, vol. 20(6), pages 1-18, March.
    3. Man-Long Chung & Manuel Widdel & Julian Kirchhoff & Julia Sellin & Mohieddine Jelali & Franziska Geiser & Martin Mücke & Rupert Conrad, 2022. "Risk Factors for Pressure Injuries in Adult Patients: A Narrative Synthesis," IJERPH, MDPI, vol. 19(2), pages 1-17, January.
    4. Odai Y. Dweekat & Sarah S. Lam & Lindsay McGrath, 2023. "Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review," IJERPH, MDPI, vol. 20(1), pages 1-46, January.
    5. Li Zhi RN & Chang Lin, 2019. "A Review on Perioperative Pressure Ulcers," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 21(5), pages 16220-16224, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jocnur:v:28:y:2019:i:23-24:p:4367-4378. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1365-2702 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.