16 research outputs found

    Student nurses’ experience of supervision and Mentorship in clinical practice: A cross cultural perspective

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    This paper reports a study, which explored student nurses experience in clinical practice. The aims of this study were to describe nurse education systems in clinical practice in eight nursing schools and compare the supervisory experiences of student nurses working in clinical settings. The nursing schools taking part in the study were members of the thematic european nursing network (TENN). A quantitative survey method was chosen for the method of this study. The sample (N=411) was collected using a validated research instrument from eight nursing schools participating in the TENN. The schools are located in Estonia, Belgium, Finland, Lithuania, Portugal, Romania, Turkey and United Kingdom. The data were collected during 2005. Although the nursing schools involved in TENN are in different development phases, however, the organisation of clinical practice is mainly similar. The percentage of clinical practice in a complete nursing programme varies from 38 to 57. Moreover, the duration of the clinical placements varies substantially across the nursing schools; from a couple weeks to 34 weeks. Students in this study evaluated their supervision experience positively. In three schools group or team supervision is the most common model. In the clinical placements where the pedagogical activities of staff nurses are notable, is a clear tendency towards a Mentorship model. However, approximately 10% of respondents perceived some practical problems in the organisation of Mentorship. Students' total satisfaction was observed to link with crucial variables but only connection with the variable Occurrence of supervision was statistically significant (p=0.000).info:eu-repo/semantics/publishedVersio

    Validation of polish version of the Basel extent of rationing of nursing care revised questionnaire

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    Development of simple, valid and reliable instruments to determine nursing care rationing is a subject of ongoing research. One such instrument, which is gaining popularity worldwide and has significant research applicability, is the Basel Extent of Rationing of Nursing Care (BERNCA) and its revised version, the BERNCA-R. The aim of this study was to translate and adapt the BERNCA-R into a Polish-language version and to assess its reliability and validity in evaluating the level of implicit rationing of nursing care in Poland. Standard methodological requirements were followed during translation and cultural adaptation of the English version of the BERNCA-R questionnaire into Polish. The cross-sectional validation study was conducted between May and September 2017, which included 175 nurses undergoing specialisation and qualification courses at the European Postgraduate Education Centre in WrocƂaw, Poland. Cronbach’s alpha and inter-item correlations were used to analyse the internal consistency of the Polish BERNCA-R questionnaire. The mean total BERNCA-R score was 1.9 points (SD = 0.74) on a scale of 0-4. Cronbach’s alpha for the unidimensional scale was 0.96. The mean inter-item correlation was 0.4 (range 0.1-0.84), which indicates high internal consistency. A single-factor solution demonstrated stable loadings above 0.5 for almost all items of the Polish BERNCA-R questionnaire. The study using the Polish BERNCA-R questionnaire demonstrated that the instrument is valid and reliable for use in investigating care rationing in groups of Polish nurses

    Validation of polish version of the Basel extent of rationing of nursing care revised questionnaire

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    Development of simple, valid and reliable instruments to determine nursing care rationing is a subject of ongoing research. One such instrument, which is gaining popularity worldwide and has significant research applicability, is the Basel Extent of Rationing of Nursing Care (BERNCA) and its revised version, the BERNCA-R. The aim of this study was to translate and adapt the BERNCA-R into a Polish-language version and to assess its reliability and validity in evaluating the level of implicit rationing of nursing care in Poland. Standard methodological requirements were followed during translation and cultural adaptation of the English version of the BERNCA-R questionnaire into Polish. The cross-sectional validation study was conducted between May and September 2017, which included 175 nurses undergoing specialisation and qualification courses at the European Postgraduate Education Centre in WrocƂaw, Poland. Cronbach’s alpha and inter-item correlations were used to analyse the internal consistency of the Polish BERNCA-R questionnaire. The mean total BERNCA-R score was 1.9 points (SD = 0.74) on a scale of 0-4. Cronbach’s alpha for the unidimensional scale was 0.96. The mean inter-item correlation was 0.4 (range 0.1-0.84), which indicates high internal consistency. A single-factor solution demonstrated stable loadings above 0.5 for almost all items of the Polish BERNCA-R questionnaire. The study using the Polish BERNCA-R questionnaire demonstrated that the instrument is valid and reliable for use in investigating care rationing in groups of Polish nurses

    Measuring the validity and reliability of the Lithuanian missed nursing care in infection prevention and control scales using Rasch analysis.

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    AIM: The aim was to translate and validate the Missed Nursing Care in Infection Prevention and Control Survey for its use in the Lithuanian context. METHODS: A convenience sample of 331 nurses was surveyed. The study instrument explored missed care in the context of infection prevention and control practices. Rasch analysis was undertaken using WinstepsÂź Rasch measurement computer program and the generalized item response modelling software. RESULTS: The Missed Nursing Care in Infection Prevention and Control Survey in the Lithuanian language demonstrated unidimensionality and provided evidence of item fit to the modified instrument. The reliability of both sub-scales was 0.78 and 0.98, respectively. Differing consensus between the nurses based on their perceived frequencies and reasons of missed care was demonstrated. CONCLUSIONS: The final Lithuanian version of the Missed Nursing Care in Infection Prevention and Control Survey consists of 29 items that assess type and frequency of missed care and 17 items that identify reasons for missed care. IMPLICATIONS FOR NURSING MANAGEMENT: Unit managers will be able to use the modified scales to generate evidence as to the sources of missed infection control practices in their clinical areas and the rationale for the breaks in the hierarchy of mandatory infection prevention

    New ways and environments for using the CLES framework

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    Abstract Clinical Learning Environment and Supervision (CLES) scale has been used and validated in many countries (see Chap. 4). Most commonly, the validation studies have been carried out in a hospital environment and the samples have consisted of general nursing students. An interesting enquiry was raised concerning the validity and implications of the CLES framework in other fields of healthcare services and healthcare student groups including medical students. This chapter presents new ways and environments for implementing the CLES scale, with healthcare students in general, and international nursing students in particular. The examples come from healthcare and medical education. The section dealing with challenges relating to international students’ clinical practicum also introduces a new scale Cultural and Linguistic Diversity scale (CALDs). This scale is developed for international nursing students and can be used together with the CLES+T scale

    Development and testing of an evidence-based model of mentoring nursing students in clinical practice

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    Abstract Background: Mentoring in clinical settings is an important factor in the development of nursing students’ professional knowledge and competences, but more knowledge of mentors’ current and required competences is needed to improve nursing students’ clinical learning. Objectives: This study aimed to develop and test an evidence-based model of mentoring nursing students in clinical practice. Design: An international cross-sectional survey coordinated in five European countries: Finland, Italy, Lithuania, Slovenia and Spain. Methods: Mentors, 4980 registered nurses working in both primary and specialist healthcare organizations, were invited to participate in the study during 2016—2019. The final sample consisted of 1360 mentors (mean age 41.9 ± 11). Data were collected with background questions and the Mentor Competence Instrument. The instrument was psychometrically validated then the data were used to construct a Structural Equation Model (SEM) with Full Imputation Maximum Likelihood (FIML) estimation. Results: All of six hypotheses were verified. In summary: mentors’ characteristics related to their motivation and reflection are positively related to mentoring practices in the workplace, which (together with constructive feedback) are positively related to and foster goal-orientation in students’ clinical learning and student-centered evaluation. All parameters in the SEM model were significant and the model’s fit indexes were verified (RMSEA = 0.055; SRMR = 0.083; CFI = 0.914, TLI = 0.909). Conclusion: Our evidence-based modeling confirms the research hypotheses about mentorship, and identifies focal competences for designing mentors’ education to improve students’ clinical learning and establish a common European mentoring model. Mentorship is important for both healthcare organizations and educational systems to enhance students’ clinical competences, professional growth and commitment to the nursing profession and organizational environments

    Mentors’ competence in mentoring nursing students in clinical practice:detecting profiles to enhance mentoring practices

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    Abstract Aims: To describe the mentoring competence of clinical practice nurse mentors and identify different mentor profiles. Design: Cross-sectional research design, secondary analysis. Methods: An international, cross-sectional study design was performed in five European countries. A total of 1 604 mentors from 33 healthcare organizations participated in the study between 2016–2019. The Mentors’ Competence Instrument (MCI), which includes seven sub-dimensions and 44 items, was used to collect data. K-means cluster and binary regression analyses were performed to detect mentor profiles and determine how various factors affect competence, respectively. Results: The K-means cluster analysis identified three distinct profiles: A (n = 926); B (n = 566); and C (n = 85). The profiles showed significantly different values (p < 0.001) across all seven areas of mentoring competence. In comparison with the other profiles, nurses in profile A were older, had more work experience and were more probably to have completed mentoring-specific training

    Empirical model of clinical learning environment and mentoring of culturally and linguistically diverse nursing students

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    Abstract Aims and objectives: To develop and test an empirical model of clinical learning environment and mentoring of culturally and linguistically diverse nursing students. Background: Clinical learning is an essential part of nursing education; nursing students are required to master clinical competences and build a professional identity during their education. The global mobility of nurses requires high proficiency in cultural adaptability as well as the successful integration of cultural diversity into the healthcare system on a national level. Design: The research design was a quantitative cross‐sectional study. STROBE statement was used to enhance the quality and transparency of research. Methods: Data were collected from eight universities during the 2015–2016. The analysis included data from 187 participants, collected using the CLES+T scale and CALDs. Instrument validity was tested with confirmatory factor analysis, while the hypotheses were tested with a structural equation model. Results: Pedagogical atmosphere was shown to be positively related to cultural diversity (0.66), orientation into the clinical placement (0.54) and the role of the student (0.25), and all of these relationships were statistically significant. These dimensions—with the exception of the role of the student—also showed a significantly positive influence on the mentoring relationship (respectively, 0.32, 0.71, 0.18). Fit indexes demonstrate an adequate model’s fit. Conclusions: The model needs to be further piloted and tested in organisational structures of clinical practice of culturally and linguistically diverse nursing students. The dimensions that explain mentoring in clinical learning needed to be further addressed in a theoretically consistent and empirically driven approach, according to these findings. Relevance to clinical practice: In our study, we found that environmental and relational aspects are the most important for building an effective clinical learning environment. Universities and healthcare organisations can jointly leverage the model to foster clinical learning environments in clinical practice

    Mentors’ cultural competence at mentoring culturally and linguistically diverse nursing students in clinical practice:an international cross-sectional study

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    Abstract Aims: This study aimed to identify mentors’ cultural competence profiles at mentoring culturally and linguistically diverse nursing students in clinical practice and explore associating factors. Background: Globalization has had a significant impact on healthcare, increasing the diversity of healthcare workforces and the number of culturally and linguistically diverse nursing students in clinical practice. The cultural competence of mentors is important to secure students’ safe and successful learning. The mentor role in clinical practice contributes toward enabling and ensuring students’ high-quality and goal-oriented development of competence. Design: This study implemented a cross-sectional design with a final sample of 270 clinical practice mentors from Finland, Lithuania, Spain and Slovenia. Methods: The data were collected using an online survey including the Mentors’ Cultural Competence Instrument, Mentors’ Competence Instrument and background questions during 2020–2021. The data were analyzed using a K-mean cluster algorithm to identify mentors’ competency profiles. Results: Three significantly differing mentor competency profiles (Profile A 42%, Profile B 41%, Profile C 17%) were identified in this study. The cultural competence of the mentors in clinical practice varied between intermediate and high levels. Mentors rated their cultural competence as best in the area of cultural sensitivity and awareness, whereas the lowest scored area was cultural interaction and safety. Conclusions: This study showed that the cultural competence of mentors in clinical practice varied and was influenced by mentors’ work experience, age, job title and frequency of mentoring. This study provides new knowledge that could help to develop cultural competence operating models and education to enhance the cultural competence of healthcare professionals
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