The Impact of the Predictive Nursing Education Process on Degree of Comfort and Quality of Life for Patients in the Oncology Department

  • Yan YU Dept. of Cardio-Thoracic Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, P.R. China
  • Lijuan HU Dept. of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, P.R. China
  • Xingu CHEN Dept. of Cardio-Thoracic Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, P.R. China
  • Mei GE Dept. of Hepatobiliary Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, P.R. China
  • Huijuan ZHU Dept. of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, P.R. China
  • Yusheng YAN Dept. of Cardio-Thoracic Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, P.R. China
Keywords: Predictive nursing, Cancer, Degree of comfort, Quality of life

Abstract

Background: We investigated the application of a predictive nursing education process on the degree of comfort and quality of life for cancer patients.Methods: A total of 168-cancer patient in Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China between June 2014 and June 2016 were enrolled and admitted for surgery or radiotherapy/chemotherapy treatment. Patients were randomly divided into control and observation groups, each containing 84 cases. Patients in the control group received routine cancer care, whereas the observation group received care incorporating a predictive nursing education process. Patients were assessed after admission and prior to discharge via the Kolcaba's comfort status scale (through a General Comfort Questionnaire (GCQ)), quality of life scale (QOL), and Barthel Index (BI) for activities of daily living (ADL). Patient mental state was also evaluated using the Hamilton Anxiety Rating Scale (HAMA) and Hamilton Depression Rating Scale (HAMD).Results: GCQ, QOL, and BI scores of the observation group were all significantly higher than those of the control group (P <0.05). HAMA and HAMD scores were significantly lower in the observation group compared to the control group (P < 0.05).Conclusion: The predictive nursing education process could significantly improve degree of comfort and activities of daily living for cancer patients, and thus improve mental states and quality of life.  

References

Brierley J, Gospodarowicz M, O'Sullivan B (2016). The principles of cancer staging. Ecancermedicalscience, 10: ed61.

Lee R, Yeung AW, Hong SE, Brose MS, Michels DL (2015). Principles of medical oncology. Asian Pac J Surg Oncol, 1: 39-46.

Huang FF, Yang Q, Han XY, Zhang JP, Lin T (2016). Development and validation of a self-efficacy scale for postoperative rehabilitation management of lung cancer patients. Psychooncology, 10: 154-155.

Reich RR, Lengacher CA, Alinat CB et al (2016). Mindfulness-Based Stress Reduction in Post-Treatment Breast Cancer Patients: Immediate and Sustained Effects across Multiple Symptom Clusters. J Pain Symptom Manage, 53(1):85-95.

Liu Q, Zhu H (2016). Application of Predictive Nursing Reduces Psychiatric Complications in ICU Patients after Neurosurgery. Iran J Public Health, 45(4): 469-473.

Ruth Williams (2010). Cancer care. Nurs Manag (Harrow), 17: 11.

Lin CC (2016). Health Promotion for Cancer Patients: Opportunities and Challenges in Cancer Nursing. Cancer Nurs, 39: 339-340.

Zhu J, Rodgers S, Melia KM (2014). The impact of safety and quality of health care on Chinese nursing career decision-making. J Nurs Manag, 22(4):423-32.

Zhu J, Rodgers S, Melia KM (2014). A qualitative exploration of nurses leaving nursing practice in China. Nurs Open, 2(1): 3-13.

Teoh YT, Pua LH, Chan MF (2013). Lost in transition--a review of qualitative literature of newly qualified Registered Nurses' experiences in their transition to practice journey. Nurse Educ Today, 33(2): 143-147.

Higgins G, Spencer RL, Kane R (2010). A systematic review of the experiences and perceptions of the newly qualified nurse in the United Kingdom. Nurse Educ Today, 30(6): 499-508.

Whitehead B, Owen P, Holmes D, Beddingham E, Simmons M, Henshaw L, Barton M, Walker C (2013). Supporting newly qualified nurses in the UK: a systematic literature review. Nurse Educ Today, 33(4): 370-377.

Published
2017-09-03
How to Cite
1.
YU Y, HU L, CHEN X, GE M, ZHU H, YAN Y. The Impact of the Predictive Nursing Education Process on Degree of Comfort and Quality of Life for Patients in the Oncology Department. Iran J Public Health. 46(9):1231-6.
Section
Original Article(s)