Date of Completion

2023

Document Type

Thesis

Degree Name

Bachelor of Science in Nursing

Keywords

Hemodialysis

Abstract

The researchers made use of descriptive qualitative phenomenological design, particularly the Husserlian phenomenological approach. The sampling methods used in the study were purposive and snowball sampling and nine (9) hemodialysis nurses participated in the study. The researchers have utilized Colaizzi’s descriptive phenomenology data analysis approach. After analyzing the raw data gathered, a total of one hundred thirty-two (132) significant statements were obtained from the participants’ verbatim. From these, four (4) main themes and six (6) sub themes were identified. The first theme is “Passion-Driven Lives (Reasons for Choosing Hemodialysis)”. This showcased the reason why they have taken hemodialysis nurses as their occupation. The second theme that transpired is “Providing Quality Care (Pre, Intra, Post Hemodialysis Routine and Management of Complications)” which encompassed their routine as they have provided information on the nursing procedure and skills that they do, and the common complications of hemodialysis that they have encountered. The third theme that emerged from the participants' lived experiences is “Rising Above (The Journey of Trials and Triumphs)”, followed by the four (4) sub themes identified, “Problems in Cannulation”, “Nurse-Patient Attachment”, “Dealing with Coworkers”, and “Dealing with Patients”. This theme highlighted the various challenges or difficulties they experienced and how they handled such challenges. Finally, the fourth theme is "Self-Transformation Journey (Realizations and Learnings about Self and Lifestyle)" and the remaining two (2) sub themes that are under this theme are “Learning about Lifestyle” and “Learning about Self”. This theme described the participant’s insights and realizations regarding lifestyle, as well as the acquired characteristics that are necessary to be competent hemodialysis nurses.

First Advisor

Lorenzo Alvin T. Capio, MATh, PhD

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