clinical experiences as related to standard precautions compliance among nursing students: a focus group interview based on the theory of planned behavior

clinical experiences as related to standard precautions compliance among nursing students: a focus group interview based on the theory of planned behavior

;Kyung Mi Kim, RN, PhD, ICAPN;Hyunjin Oh, RN, PhD
fungal genetics and biology : fg & b 2015 Vol. 9 pp. 109-114
375
icapn2015asianclinical

Abstract

Purpose: During clinical placements, nursing students who come into close contact with patients and provide nursing interventions may be exposed to harmful pathogens. However, little is known about nursing students' experiences with standard precautions (SP) in clinical settings. Methods: We conducted interviews with six focus groups of nursing students (n = 38) from two universities in South Korea. The focus group interviews each took 90–120 minutes and included 6–7 participants from two different universities. The meetings used semi-structured interview protocols. Qualitative content analysis was employed. Results: Four themes and 9 subthemes were identified: (a) attitudes (knowledge deficit, sensitivity), (b) subjective norms (negative role models, classroom and in-field gaps, blind spots), (c) perceived behavioral control (psychological barriers, physical barriers, lack of information), and (d) intention (changes in compliance awareness). Conclusions: These focus groups revealed that many nursing students worked in vulnerable environments and risked pathogen exposure. Nursing students expressed the importance of SP but reported witnessing many instances of failure to comply with established measures. Several barriers were explored as reasons of SP noncompliance. By removing the barriers presented in this study, nursing students would be able to perform their duties in a safe clinical environment.

Citation

ID: 243089
Ref Key: icapn2015asianclinical
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
243089
Unique Identifier:
10.1016/j.anr.2015.01.002
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet