This study aimed to explore the cluster patterns of female nursing students’ perceptions of the effects of menstrual distress during clinical practice. This study adopted the Q-methodology study design. We recruited female nursing students from a college in northern Taiwan. Forty-seven Q-statements were constructed to explore participants’ experiences of the impact of menstrual distress on clinical learning. In total, 58 participants subjectively ranked Q-statements concerning menstrual distress experiences during clinical practice and were classified. After Q-sorting, the subjective ranking process PQ Method (version 2.35, Schmolck, Emmendingen, Germany) was employed for factor analysis. Four patterns of shared perspectives, accounting for 46.6% of the total variance, were identified: (a) influencing clinical learning and making good use of painkillers; (b) responsible attitudes and diversified relief of discomfort; (c) seeking peer support and effect on mood; (d) negative impact on learning ability and conservative self-care. Clinical practice is a major component of nursing education; menstrual distress affects female nursing students’ clinical learning and performance. The exploration of clustering different nursing students’ perceptions may facilitate customized strategies to enable more appropriate assistance.
Background Implementing evidence-based healthcare (EBHC) to improve the quality of patient care is a key issue for physicians and nurses. One of the most effective activities for achieving this is the annual topic-oriented clinical application national competition in Taiwan. Hundreds of clinical issues have been presented in this competition. By using the decomposed theory of planned behaviour (DTPB), this study explored physicians’ and nurses’ behaviour and adherence to the clinical application of EBHC after participating in the competitions. Methods We conducted a 3-month cross-sectional online survey using a structured questionnaire adapted from the original study of the DTPB to collect behavioural and intention-related data. We also used a model of seven action stages (from aware of to adhered to) to assess target behaviours. We targeted contestants of the EBHC competitions between 1999 and 2017 as study participants. Of 631 teams, 321 teams completed the questionnaire, representing a 49.5% response rate. We applied structural equation modelling to test model fit. Moreover, we executed multivariate logistic regression to identify potential predictors. Results Of the respondents, 33.3% reportedly reached the final adhered to stage. The DTPB model exhibited a good fit to the observed data. All constructs (usefulness, compatibility, peer influence, superior influence, self-efficacy, resource facilitating conditions, attitude, subjective norms, behavioural control, and intentions) were positively associated with the target behaviours, except for ease of use and technology facilitating conditions. Furthermore, the study model explained the variance in the target behaviours (37.0%). Having managerial duties (odds ratio [OR] =2.03, 95% confidence interval [CI] =1.10–3.77), resource facilitating conditions (OR = 1.06, 95% CI = 1.01–1.11), behavioural control (OR = 2.21, 95% CI = 1.47–3.32), and intentions (OR = 1.96, 95% CI = 1.40–2.73) were significant predictors of the achievement of the adhered to stage. Conclusions The study demonstrated the association between determinants of behaviour and clinical applications and factors influencing adherence to EBHC among competition participants. The adherence rate was not high after the competitions, and this may be improved by promoting certain factors associated with the target behaviours.
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