Introducing a design exigency to promote student learning through assessment: A case study

The assessment of undergraduate bachelor of nursing students in the collaborative clusters education model: A qualitative descriptive design

BACKGROUND

Worldwide, undergraduate Bachelor of Nursing students are required to complete experiential learning placements in health care settings as part of the curriculum. There are a variety of facilitation models that support student learning and assessment on clinical placement. As workforce pressures increase globally, innovative approaches to clinical facilitation are required. In the Collaborative Clusters Education Model of clinical facilitation, hospital-employed clinical facilitators work collaboratively within peer groups (clusters) to collectively participate in a process of facilitating student learning and conducting assessment and moderation of student performance. The assessment process in this collaborative clinical facilitation model is not well described.

AIM

To describe how the assessment of undergraduate nursing students is achieved in the Collaborative Clusters Education Model.

DESIGN

A qualitative descriptive approach was employed.

METHODS

In March 2021 individual and group interviews were conducted with seven clinical facilitators working in the Collaborative Clusters Education Model in one health service in southeast Queensland, Australia. Content analysis of transcribed interviews was performed.

RESULTS

Assessment was achieved through two processes, situational scoring and moderation. In the process of situational scoring, clinical facilitators balanced the students' perception of their role in assessment, accounted for the type of experiences available, considered multiple sources of evidence and used the Australian Nursing Standards Assessment Tool. In the process of moderation, clinical facilitators communicated with their cluster colleagues to determine a shared understanding of student history, considered data from multiple evidence sources and collaboratively evaluated the trustworthiness of student performance evaluation decisions.

CONCLUSIONS

In the Collaborative Clusters Education Model, the input of multiple assessors, working in a small team, ensured transparency in assessment processes. Furthermore, this transparency in assessment practices normalised on-going moderation, an in-built quality-check and, as such, an innovative component of assessment in the Collaborative Clusters Education Model. As nursing directors and managers seek to ameliorate the impact of nursing workforce pressures, this innovative model of collaborative assessment may serve as a valuable addition to nursing clinical assessment toolkits.

TWEETABLE ABSTRACT

The Collaborative Clusters Education Model of Clinical Facilitation enables transparency in assessment processes and normalises moderation.

Supporting Australian clinical learners in a collaborative clusters education model: a mixed methods study

Background

Nursing student numbers have risen in response to projected registered nurse shortfalls, increasing numbers of new graduates requiring transitional support and pressure on clinical placements. A Collaborative Clusters Education Model, in which Entry to Practice facilitators coach ward-based registered nurses to support students’ and new graduates’ learning, may address placement capacity. The research aim was to evaluate the acceptability of the Collaborative Clusters Education Model to stakeholders by examining their perceptions of the facilitators and barriers to the model in its implementation.

Methods

A convergent mixed methods evaluation approach was adopted. The study took place in a large Australian health service in south-east Queensland. Participants included Bachelor of Nursing students, Entry to Practice facilitators, ward-based registered nurses, academics and new graduates. A mixed methods design was used. Elements included an online survey of nursing students, and interviews with new graduates, Entry to Practice facilitators, ward-based registered nurses, and academics. Descriptive statistics were calculated on quantitative data. Thematic analysis was conducted on qualitative data.

Results

Participants included 134 (of 990) nursing students (response rate 13.5%), five new graduates, seven Entry to Practice facilitators, four registered nurses, and three nurse academics. Students rated facilitators’ effectiveness highly (4.43/5 ± 0.75), although this finding is tempered by a low response rate (13.5%). For learners, the model provided access to learning experiences, although preferences for sources of support differed between students and new graduates, and further clarification of responsibilities was required. For other stakeholders, three themes emerged: students’ and new graduates’ integration into the workplace can promote learning; tensions arise in new ways to approach performance assessment; and aligning expectations requires high levels of communication.

Conclusions

This evaluation found that acceptability was good but at risk from limited clarity around roles and responsibilities. Further research into this model is recommended.