Faraji Azam, Jalali Amir, Khatony Alireza, Jalali Rostam
Nursing Department, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Psychiatric Nursing Department, School of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.
BMC Nurs. 2024 Jan 22;23(1):61. doi: 10.1186/s12912-024-01736-z.
Caring for recommended patients creates work and emotional challenges for nurses. Nurses are obligated to provide care regardless of the patient's situation. Therefore, knowing the experiences of nurses in dealing with recommended patients in order to provide quality and effective care can be the basis for increasing patient satisfaction. The present study was conducted aimed to explain nurses' experiences of caring for recommended patients.
This was a qualitative study with descriptive phenomenological approach. Participants were 12 nurses working in different wards of hospitals affiliated to Kermanshah University of Medical Sciences, selected by purposive sampling method with maximum diversity. The data collected using semi-structured interviews in face-to-face and audio-recorded methods. MAXQDA 2020 software was used for data management. The analysis of the data was done using the Colaizzi's 7-step method. In order to verify the trustworthiness of the data, Lincoln and Guba criteria were used.
After continuous data analysis, 110 initial codes were extracted. These codes emerged in 18 sub-themes and 6 main themes including: catastrophe, be in decline, be in progress, discrimination, work overload, and poor prognosis.
The results showed information about the presence of recommended patients in the hospital, which can have consequences for patients and nurses. Therefore, it is advised that nurses provide standard care and avoid any kind of discrimination against all patients regardless of whether the patient is recommended or not.
照顾被推荐患者给护士带来了工作和情感上的挑战。无论患者情况如何，护士都有义务提供护理。因此，了解护士在照顾被推荐患者方面的经历，以便提供高质量和有效的护理，可能是提高患者满意度的基础。本研究旨在解释护士照顾被推荐患者的经历。
这是一项采用描述性现象学方法的定性研究。参与者为克尔曼沙赫医科大学附属医院不同病房工作的12名护士，采用最大差异目的抽样法选取。数据通过面对面半结构化访谈和录音的方式收集。使用MAXQDA 2020软件进行数据管理。采用Colaizzi的7步法进行数据分析。为了验证数据的可信度，使用了林肯和古巴标准。
经过持续的数据分析，提取了110个初始编码。这些编码出现在18个次主题和6个主要主题中，包括：灾难、衰退、进展、歧视、工作负荷过重和预后不良。
结果显示了医院中存在被推荐患者的相关信息，这可能对患者和护士产生影响。因此，建议护士提供标准护理，避免对所有患者有任何形式的歧视，无论患者是否为被推荐患者。
