IDEAS home Printed from https://ideas.repec.org/a/bdu/ojjhmn/v11y2025i2p68-80id3390.html
   My bibliography  Save this article

Asthma Self-Management Practices among Patients with Asthma at Chuka County Referral Hospital (CCRH), Kenya

Author

Listed:
  • Hellen Njeri Micheni
  • Prof. Lucy Gitonga PhD
  • Dr. Beth Gichobi PhD
  • Stephen Kainga
  • Purity Micheni

Abstract

Purpose: Asthma is a global public health problem that affects people of all ages contributing significantly to morbidity and mortality.It is a chronic inflammatory disease of the respiratory tract. This study aimed at assessing self-management practices for asthma control among adult patients with asthma. Methodology: The study adopted a descriptive cross-sectional survey design. A sample size of 118 patients was obtained using Fisher’s et al formula and the sample was selected using simple random sampling. A researcher administered questionnaire was used to collect data. Data was analyzed using statistical package for social sciences version 26 to generate frequencies, mean and measures of central tendency. Pearson’s correlation coefficient was used to determine the relationship between self-management practices and asthma control. Findings: The study concluded that there is a negative correlation between self- management practices and Frequency of Asthma Control, r = -0.190 with a significance p-value = 0.045. This implies that frequency of asthma symptoms and practice of trigger identification and control are statistically significant at 0.05 level (2-tailed). Key facilitators of asthma self-management practices include; effective communication with healthcare workers, availability and affordability of medications in government hospitals. Some of the reported barriers to asthma self-management include presence of comorbidities, poor self-control and lack of knowledge on ASM. Unique Contribution to Theory, Practice and Policy: This study recommends implementation of outreach programs in the community to increase awareness about asthma and associated self-management essentials.

Suggested Citation

  • Hellen Njeri Micheni & Prof. Lucy Gitonga PhD & Dr. Beth Gichobi PhD & Stephen Kainga & Purity Micheni, 2025. "Asthma Self-Management Practices among Patients with Asthma at Chuka County Referral Hospital (CCRH), Kenya," Journal of Health, Medicine and Nursing, IPR Journals and Book Publishers, vol. 11(2), pages 68-80.
  • Handle: RePEc:bdu:ojjhmn:v:11:y:2025:i:2:p:68-80:id:3390
    as

    Download full text from publisher

    File URL: https://iprjb.org/journals/index.php/JHMN/article/view/3390
    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:bdu:ojjhmn:v:11:y:2025:i:2:p:68-80:id:3390. 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://iprjb.org/journals/index.php/JHMN/ .

    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.