Literature DB >> 14585553

Are nurses prepared to manage cancer pain? A national survey of nurses' knowledge about pain control in Taiwan.

Yeur-Hur Lai1, Mei-Ling Chen, Li-Yun Tsai, Li-Hua Lo, Ling-Ling Wei, Ming-Ying Hong, Ling-Nu Hsiu, Shu-Tai Hsiao-Sheen, Shu-Ching Chen, Chin-Chiu Kao, Tsai-Wei Huang, Shu-Chen Chang, Li Chen, Shu-Liu Guo.   

Abstract

Nurses play a crucial role in cancer pain control, but little is known about how well-prepared nurses are to manage cancer pain in Taiwan. The purpose of this study was to examine the level of knowledge about pain management among Taiwanese nurses with different background characteristics and to determine the predictor(s) of nurses' pain management knowledge. Nurse subjects were recruited by a cross-sectional nationwide survey with stratified sampling from nine hospitals distributed in the four major geographic regions of Taiwan. The Nurses' Knowledge and Attitudes Survey-Taiwanese version (NKAS-T) and a background information form were used to collect the data. Of 1900 surveys distributed, 1797 valid questionnaires (94.5%) were analyzed. The average correct response rate was 50.5%, with rates ranging from 7-86% for each survey question. Results from stepwise regression showed that nurses with higher mean correct answer scores had BS or higher degrees, had received pain education at professional conferences, had more prior hours of pain education, had longer clinical care experiences, and always worked with cancer patients. Nurses who worked in intensive care units, however, had significantly lower mean correct scores. The results strongly suggest an urgent need to strengthen pain education in Taiwan. The results also provide the direction for developing pain education.

Entities:  

Mesh:

Year:  2003        PMID: 14585553     DOI: 10.1016/s0885-3924(03)00330-0

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  8 in total

Review 1.  [Interprofessional education in pain management: development strategies for an interprofessional core curriculum for health professionals in German-speaking countries].

Authors:  K Fragemann; N Meyer; B M Graf; C H R Wiese
Journal:  Schmerz       Date:  2012-08       Impact factor: 1.107

2.  Cancer Pain Management Among Oncology Nurses: Knowledge, Attitude, Related Factors, and Clinical Recommendations: a Systematic Review.

Authors:  Salehoddin Bouya; Abbas Balouchi; Abdulbaset Maleknejad; Maryam Koochakzai; Esra AlKhasawneh; Abdolghani Abdollahimohammad
Journal:  J Cancer Educ       Date:  2019-10       Impact factor: 2.037

3.  Nurses' willingness to maximize opioid analgesia for severe cancer pain, and its predictor.

Authors:  Yoon Jung Chang; Young Ho Yun; Sang Min Park; So Woo Lee; Hyeoun-Ae Park; You-Ja Ro; Bong Yul Huh
Journal:  Support Care Cancer       Date:  2005-04-13       Impact factor: 3.603

4.  Effectiveness of Education Program on Nursing Knowledge and Attitude toward Pain Management.

Authors:  Aqel El-Aqoul; Abdullah Obaid; Ihsan Jarrah; Khaled Al-Rawashdeh; Ahmad Al Hroub
Journal:  Asia Pac J Oncol Nurs       Date:  2020-07-29

5.  Knowledge and Attitude of Ethiopian Oncology Nurses About Cancer Pain Management: National Survey.

Authors:  Biruk Adie Admass; Nigussie Simeneh Endalew; Hailu Yimer Tawuye; Abraham Tarekegn Mersha
Journal:  Cancer Manag Res       Date:  2020-09-25       Impact factor: 3.989

6.  Translation and Validation of the Farsi Version of the Pain Management Self-Efficacy Questionnaire.

Authors:  Hayedeh Rezaei; Ali Faiek M Saeed; Kamel Abdi; Abbas Ebadi; Reza Ghanei Gheshlagh; Amanj Kurdi
Journal:  J Pain Res       Date:  2020-04-07       Impact factor: 3.133

7.  Health Care Workers' Knowledge, Attitude, and Practice About Chronic Pain Management, Shiraz, Iran.

Authors:  Raziyeh Kheshti; Soha Namazi; Manoosh Mehrabi; Dena Firouzabadi
Journal:  Anesth Pain Med       Date:  2016-07-16

8.  Effects of Dispositional Resilience and Self-Efficacy on Practice in Advanced Care Planning of Terminally Ill Patients among Taiwanese Nurses: A Study Using Path Modeling.

Authors:  Hsueh-Hsing Pan; Li-Fen Wu; Li-Fang Chang; Yu-Chun Hung; Chin Lin; Ching-Liang Ho
Journal:  Int J Environ Res Public Health       Date:  2021-01-30       Impact factor: 3.390

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.