Modification of a student feedback tool that provides feedback to staff in. clinical contexts



Similar documents
A framework to guide the creation of a culture that encourages continuous clinical learning in health facilities

A Survey Instrument for Identification of the Critical Failure Factors in the Failure of ERP Implementation at Indian SMEs

Relationship Quality as Predictor of B2B Customer Loyalty. Shaimaa S. B. Ahmed Doma

INTERNAL MARKETING ESTABLISHES A CULTURE OF LEARNING ORGANIZATION

Student Evaluation of Faculty at College of Nursing

FACTORS AFFECTING EMPLOYEE PERFORMANCE EVALUATION IN HAMEDAN HEALTH NETWORKS

To do a factor analysis, we need to select an extraction method and a rotation method. Hit the Extraction button to specify your extraction method.

Exploring Graduates Perceptions of the Quality of Higher Education

The Staffing Climate in Nursing: Concept and Measurement

The Effectiveness of Ethics Program among Malaysian Companies

A Brief Introduction to SPSS Factor Analysis

Effectiveness of Performance Appraisal: Its Outcomes and Detriments in Pakistani Organizations

Running head: ONLINE VALUE AND SELF-EFFICACY SCALE

4. There are no dependent variables specified... Instead, the model is: VAR 1. Or, in terms of basic measurement theory, we could model it as:

THE IMPORTANCE OF TEACHING PRESENCE IN ONLINE AND HYBRID CLASSROOMS

Stephanie Burns 1. Project Title: Clinical Supervisors and the Formation of Professional Identity in Supervisees

Chapter 7 Factor Analysis SPSS

Title:Online training course on critical appraisal for nurses: adaptation and assessment

Relationship between Business Intelligence and Supply Chain Management for Marketing Decisions

Does organizational culture cheer organizational profitability? A case study on a Bangalore based Software Company

Issues in Information Systems Volume 15, Issue II, pp , 2014

SASS 602: FIELD EDUCATION Intensive Weekend Advanced Standing Fall Master Syllabus

2. Linearity (in relationships among the variables--factors are linear constructions of the set of variables) F 2 X 4 U 4

Chapter VIII Customers Perception Regarding Health Insurance

Progress Report Phase I Study of North Carolina Evidence-based Transition to Practice Initiative Project Foundation for Nursing Excellence

JOB SATISFACTION DURING RECESSION PERIOD: A STUDY ON PUBLIC & PRIVATE INSURANCE IN PUNJAB

City and County of Denver 2015 Employee Engagement Survey

Proceedings of the 7th International Conference on Innovation & Management

HIGHLIGHTS REPORT. Department of Science Information Technology Innovation & the Arts

Evaluating the Student Clinical Learning Environment: Development and Validation of the SECEE Inventory. Kari Sand-Jecklin, EdD, MSN, RN.

How To Determine Teaching Effectiveness

Business Performance Evaluation Model for the Taiwan Electronic Industry based on Factor Analysis and AHP Method

Reliability Analysis

Factors Determining Customer Relationship Management Practices: The Context of Jordanian Commercial Banks

Julie Settles MSN, APRN, BC Program Coordinator Acute Care Nurse Practitioner Program Assistant Clinical Professor Indiana University School of

CHAPTER 4 KEY PERFORMANCE INDICATORS

CHAPTER VI ON PRIORITY SECTOR LENDING

EVALUATING POINT-OF-CARE TECHNOLOGY WITH THE IBM COMPUTER USABILITY SATISFACTION QUESTIONNAIRE

DECLINING PATIENT SITUATIONS: A Study with New RN Residents

Making the components of inpatient care fit

PRINCIPAL COMPONENT ANALYSIS

Advanced Placement Environmental Science: Implications of Gender and Ethnicity

A study of Emotional Intelligence and Coping Strategies in Baccalaureate Nursing Students

EXCHANGE. J. Luke Wood. Administration, Rehabilitation & Postsecondary Education, San Diego State University, San Diego, California, USA

T-test & factor analysis

GRADUATES EVALUATIONS OF THE MASTER OF NURSING SCIENCE DEGREE PROGRAMME OFFERED BY THE UNIVERSITY OF BOTSWANA

Entrepreneurial Competencies of MBA Students A Study in Songkhla Thailand

Safety Metrics, The Big Picture -Terry L. Mathis President, ProAct Safety

Common factor analysis

Factor Analysis. Principal components factor analysis. Use of extracted factors in multivariate dependency models

5.2 Customers Types for Grocery Shopping Scenario

Linda Cassidy, MSN, EdM, APRN-CNS, CCNS, CCRN-CSC. Nora Triola, PhD, RN, NEA-BC

Performance Management and Job Satisfaction of University Library Professionals in Karnataka: A Study

SPSS ADVANCED ANALYSIS WENDIANN SETHI SPRING 2011

AN ANALYSIS OF FOOD SAFETY MANAGEMENT SYSTEMS CERTIFICATION: THE PORTUGUESE CASE

THE USE OF PERFORMANCE MEASURES IN SMALL TO MEDIUM ENTERPRISES (SMEs) AN EXPLORATORY STUDY

An International Comparison of the Career of Social Work by Students in Social Work

FACTOR ANALYSIS NASC

An Empirical Examination of the Relationship between Financial Trader s Decision-making and Financial Software Applications

University of South Florida College of Nursing Nurse Anesthesia Clinical Preceptor

A STUDY ON ONBOARDING PROCESS IN SIFY TECHNOLOGIES, CHENNAI

The Pathology of In-service Training Courses of Dezful's Elementary Schools Teachers Based on the CIPP Model

Factorial Analysis of Customer Relationship Management In Bangladesh *

How to Get More Value from Your Survey Data

Higher Education Academy Psychology Network miniproject scheme

Monmouth University School of Education Alumni Survey May 2011 N = 278 Part I: Year Completing the Most Recent Program at Monmouth University

Assessment of Factors Affecting Clinical Practice Competency of Undergraduate Health Science Students in Hawassa University, South, Ethiopia

CHAPTER-III CUSTOMER RELATIONSHIP MANAGEMENT (CRM) AT COMMERCIAL BANKS. performance of the commercial banks. The implementation of the CRM consists

Nurse Caring Behaviors Following Implementation of a Relationship Centered Care Professional Practice Model

Factor Analysis Using SPSS

Treatment Satisfaction among patients attending a private dental school in Vadodara, India

Online Stress Management Support Groups for Social Workers

August Page 1 PSA

Validation of the Core Self-Evaluations Scale research instrument in the conditions of Slovak Republic

Data analysis process

DATA ANALYSIS AND INTERPRETATION OF EMPLOYEES PERSPECTIVES ON HIGH ATTRITION

Measuring the response of students to assessment: the Assessment Experience Questionnaire

SegmentingIndianConsumersAPsychographicApproach

Adoption of Computer Assisted Audit Tools and Techniques (CAATTs) by Internal Auditors: Current issues in the UK

Exploring Wellness and the Rural Mental Health Counselor

Factor Analysis Using SPSS

PRE-SERVICE SCIENCE AND PRIMARY SCHOOL TEACHERS PERCEPTIONS OF SCIENCE LABORATORY ENVIRONMENT

Female Student Nurses Attitudes towards Electronic Medical Records in Riyadh City*

Transcription:

student feedback to staff in clinical contexts 1 Modification of a student feedback tool that provides feedback to staff in clinical contexts AIM To modify an existing tool that differentiated the salient features of the clinical learning environment that could be informative to clinical leaders. BACKGROUND The influence of a leader in the creation of the clinical milieu significantly impacts on how and what students learn. Leadership and guidance by the Nurse Unit Manager or equivalent is instrumental in determining the vision and inspiring the integration of students and student learning in the clinical context (Saarikoski and Leino- Kilpi 2002). Strong partnership between Nurse Unit Managers, clinical education coordinators, facilitators and clinical staff improves understanding around student needs (Andrews et al. 2006). All staff have a role in facilitating student learning (McNamara 2007). When staff are adequately prepared and guided about the learning needs of students they can effectively respond to assist student learning. Psycho-social aspects of the clinical learning environment that students identify as important are described as personalisation, involvement, task orientation, innovation, individualisation, satisfaction (Chan 2003). These form the basis of the Clinical Learning Environment Inventory (Chan 2003). Student responses via this tool have indicated that placement in clinical areas where staff are assisted to integrate with students impacts positively on their perceptions of the learning environment (Henderson et al. 2009). A limitation with this tool has been in differentiating key aspects of the learning environment that can inform clinical leaders about requisite changes to improve the learning environment for students. Pre and post evaluations of intervention strategies

student feedback to staff in clinical contexts 2 reveal that several subscales collectively improve. The common threads in the subscale definitions meant that feedback from the tool did not clearly differentiate to clinical leaders areas of their practice environment in need of improvement. METHOD A factor analysis using principal axis factoring and oblique rotation was performed via SPSS version 16.0 on responses during 2007 and 2008 to the Clinical Learning Environment Inventory CLEI (Chan 2003). The CLEI (42 items) was completed by nursing students at the completion of their practicum. Tool The Clinical Learning Environment Inventory is a valid and reliable measure of the psycho-social environment that influences students learning during their clinical practicum. A four point likert scale was used to score items: 1 = Strongly Disagree, 2 = Disagree, 3 = Agree, 4 = Strongly Agree. Positive and negatively worded statements were included. RESULTS Participants Participants were 753 (in 2007) and 304 (in 2008) second and third year nursing students, from one university in South-East Queensland who participated in either a two or four week clinical practicum at one of three major health facilities within a six month period.

student feedback to staff in clinical contexts 3 Factor Analysis A series of factor analyses were conducted on the 42 items to identify items that added to a meaningful interpretation of the constructs for clinical leaders. Two items from the outset appeared independent from the others and were removed: The same nurse has worked with me for most of this placement and I clock-watch on this ward. Items that cross loaded in a number of factors were deleted as their interpretation was ambiguous. Twenty-one items loaded across four factors. In the final analysis of the remaining items the Bartlett s Test of Sphericity reached statistical significance, supporting the factorability of the correlation matrix. Factor Analysis revealed the presence of four factors with eigenvalues exceeding 1. The final four-factor solution (Table 1), explaining 56% of the variance, reflect the dimensions of - engagement with staff to complete tasks, dissatisfaction with ward activities, satisfaction with the clinical experience and student motivation. Factor one, which accounted for most of the variance, was interpreted as engagement, facilitated through sharing of work with the ward staff. It contained items pertaining to students interactions with staff around completing tasks that directly contributed to student learning. Assimilation into the practice environment has been consistently raised in the literature as important for student learning (Henderson et al. 2006). The second factor reflected student dissatisfaction with the ward activities, it identifies student displeasure with the clinical placement. The third factor indicated whether students were content with the learning experience; as separate from dissatisfaction. The fourth factor pertained to student motivation (relating to students seeking out learning opportunities). The concept of students being active learners is essential for students to remain abreast of contemporary health care practice upon graduation. Ideally, clinical settings encourage students to actively engage in the

student feedback to staff in clinical contexts 4 community of learning practice. It is important that all four factors are monitored in the clinical context to gauge the value of educational leadership activities in the clinical setting. Internal reliability was reasonable across the four factors. Cronbach alpha was 0.87, 0.75, 0.67, 0.78 (Factors 1-4) respectively. CONCLUSION This study aimed to develop a student feedback tool that differentiated the nature of clinical learning opportunites. The tool was tested over two time periods. A revised form of the CLEI provides feedback that informs clinical leaders about staff engagement with students to accomplish tasks, student satisfaction and dissatisfaction, and student motivation. RELEVANCE TO CLINICAL PRACTICE From a leadership perspective it is critical that clinical teams work together to improve staff engagement with students, provide a satisfying learning experience, reduce dissatisfaction, and ideally motivate learning in the clinical context. The identification of these four factors lays the foundation of measurement of concepts important to ascertain whether clinical learning environments are effective. It can potentially through feedback guide nurse leaders in their clinical actions to maximise learning.

student feedback to staff in clinical contexts 5 Contributions Study design: AH, DC, MC Data collection and analysis: RW, AH Manuscript preparation: AH, DC, MC, RH Conflict of interest: None References Andrews GJ, Brodie DA, Andrews JP, Hillan E, Thomas BG, Wong J & Rixon L. (2006) Professional roles and communications in clinical placements: A qualitative study of nursing students perceptions and some models for practice. International Journal of Nursing Studies 43, 861 874. Chan D. (2003) Validation of the clinical learning environment inventory. Western Journal of Nursing Research 25(5):519-532. Henderson A., Twentyman M., Creedy D., Eaton E., Stapleton P. and Lloyd B. (2009) Improving clinical learning environments: An intervention study. Journal of Clinical Nursing 19: 177-182. McNamara MS. (2007) Commentary on Lambert V. & Glacken M. Clinical education facilitators: a literature review. Journal of Clinical Nursing 2005,14, 664-673. Journal of Clinical Nursing 16(3):613-5. Saarikoski M & Leino-Kilpi H. (2002) The clinical learning environment and supervision by staff nurses: developing the instrument. International Journal of Nursing Studies 39, 259-267.

student feedback to staff in clinical contexts 6 TABLE 1: Structure Matrix Nurses in this ward tell me how and why they are doing things Factor 1 Factor 2 Factor 3 Factor 4 2007 2008 2007 2008 2007 2008 2007 2008.676.567.216.194.083.095.245.274 The nurse often thinks of interesting learning activities.636.675.137.139.292.053.073.009 Ward assignments are clear so that I know what to do.601.480.088.170.150.136.158.195 The nurse working with me goes out of his/her way to help me.581.647.271.128.056.172.291.251 The nurse working with me helps me when I am having trouble with the work.565.589.353.125.103.096.315.258 There are opportunities for me to proceed at my own pace.563.615.082.147.167.173.098.103 The nurse working with me considers my feelings.500.568.194.075.206.119.207.202 I have a say in how the shift is spent.476.606.084.081.101.109.002.045 Workload allocation in this ward is carefully planned.444.456.086.339.360.028.134.236 Staff are punctual.413.479.163.190.358.170.336.198 The nurses are unfriendly and inconsiderate towards students.401.443.598.234.098.121.088.076 This clinical placement is a waste of time.023.074.630.715.311.157.244.091 This clinical placement is boring.078.166.606.696.476.245.244.141 This is a disorganised clinical placement.275.185.591.574.084.014.080.090 No one is interested in my problems.406.422.446.413.105.016.102.137 I enjoy coming to this ward.393.463.206.308.638.577.291.193 This clinical placement is interesting.180.286.285.609.577.402.232.199 I look forward to coming to this clinical placement.290.225.158.267.486.596.216.194 I put effort into what I do in the ward.087.076.098.136.157.192.657.821 I pay attention to what others are saying.212.307.190.133.175.095.648.541 The facilitator talks with me as an individual.178.220.104.127.175.045.437.492 Extraction Method: Principal Axis Factoring Rotation Method: Oblimin with Kaiser Normalization Putative factors shown in bold