IDEAS home Printed from https://ideas.repec.org/a/bhx/ojijhs/v7y2024i5p45-59id2181.html
   My bibliography  Save this article

Determinants of Health Outcomes of Patients Presenting with Massive Traumatic Bleeding in the Emergency Department in Selected Hospitals in Kiambu County, Kenya

Author

Listed:
  • Odaro Anne Edith
  • Dr. Alfred Owino Odongo
  • Dr. Josphat Njuguna

Abstract

Purpose: The study sought to identify the determinants of the health outcomes of patients presenting with massive traumatic bleeding in the emergency department of selected hospitals in Kiambu County, Kenya. Methods: The research employed an analytical cross-sectional study design, utilizing quantitative data. Data was collected using a questionnaire, an observation checklist, and extraction of secondary data from patient records. A census sampling was done. The collected data underwent analysis using IBM SPSS version 26. Simple linear regression and multiple logistic regression analysis was used to analyze the data. Results: Regarding the health outcomes of patients presenting with massive traumatic bleeding, three outcomes were observed: 68.39% of the patients were discharged in fair general condition (FGC), 21.70% were referred and 9.90% were deceased. The experience of the healthcare workers, 11.6% of the variability of the health outcome of the patient is explained by experience of healthcare workers (p-value = 0.0138). Comparing the health outcomes in the two facilities, there was no difference in health outcome (p<0.001). According to the multinomial logistic regression the results indicate that age is a significant predictor of the deceased outcome (B=0.064, p=0.014). Therefore, age is the most significant predictor of the health outcomes of patients presenting with massive traumatic bleeding. Unique Contribution to Theory, Policy and Practice: To reduce poor health outcomes of pediatric and geriatric patients, it is recommended that a specific area in the emergency department should be set aside for the trauma patients in these age categories. Due to adding special areas in the emergency department, more staff and resources will need to be allocated to the emergency department.

Suggested Citation

  • Odaro Anne Edith & Dr. Alfred Owino Odongo & Dr. Josphat Njuguna, 2024. "Determinants of Health Outcomes of Patients Presenting with Massive Traumatic Bleeding in the Emergency Department in Selected Hospitals in Kiambu County, Kenya," International Journal of Health Sciences, CARI Journals Limited, vol. 7(5), pages 45-59.
  • Handle: RePEc:bhx:ojijhs:v:7:y:2024:i:5:p:45-59:id:2181
    as

    Download full text from publisher

    File URL: https://carijournals.org/journals/index.php/IJHS/article/view/2181/2566
    Download Restriction: no
    ---><---

    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:bhx:ojijhs:v:7:y:2024:i:5:p:45-59:id:2181. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chief Editor (email available below). General contact details of provider: https://www.carijournals.org/journals/index.php/IJHS/ .

    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.