Clinical trial NCT02907541: Protocol for Evaluation of eLearning of Quality Improvement Methods
Official title: Evaluation of eLearning of Quality Improvement Methods
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Learning
Quality Improvement
eLearning
Keywords: eLearning
Quality Improvement Methods
Knowledge Transfer
Impact of learning
Lead sponsor: Chelsea and Westminster NHS Foundation Trust
Sponsor class: OTHER
Collaborators: name: National Institute for Health Research, United Kingdom
name: OCB Media
First posted: 2016-09-20
Enrollment: 250
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: NON_RANDOMIZED
Intervention model: PARALLEL
Primary purpose: HEALTH_SERVICES_RESEARCH

Brief summary: This study evaluates the use of eLearning of quality improvement methods. Participants who use eLearning only, facilitated learning only and a combination of eLearning and facilitated learning will complete questionnaires and be interviewed to establish the effect of eLearning of quality improvement methods to improve knowledge, change in behaviour and impact on healthcare services for better patient care.

Detailed description: Quality improvement (QI) is an increasingly important element of delivering health care. Learning and feeling confident in using QI methods is an essential part of healthcare practice. eLearning is a cost effective way of capacity building to a large cohort of health care professionals and service users. National Institute of Health Research Collaboration for Leadership in Health Research and Care Northwest London has developed a suite of eLearning modules (QI4U) to support an introductory understanding of technical aspects of QI. This protocol describes a trial to evaluate the experience of learning, knowledge gained, change in behaviour, and impact of eLearning of QI methods.

Participants will belong to one of three Groups of learners over the course of 12 months: learners using only QI4U (group 1); people using only facilitated learning (Group 2); and learners using a combination of QI4U and facilitated learning (Group 3). The Kirkpatrick model will be used to evaluate the learning. The primary outcome of interest will be transfer of knowledge gained from learning into clinical practice for service improvement by individuals (level 3). Secondary outcomes will include reaction or experience of QI4U, knowledge gained, and the results or impact of learning through QI4U on service improvement (levels 1, 2 and 4).

Transfer of knowledge into clinical practice will be assessed by interviews with individual learners. Experience of eLearning and knowledge gained will be assessed using feedback forms, questionnaires, time spent doing QI4U and reflective logs. Impact will be assessed by interviews with organisational leads with a high prevalence of QI4U learners.

This study will provide evidence on the effectiveness of using eLearning as a means for learning QI. It will serve to evaluate learners' experience of using eLearning and the impact of various training methods within the context of learning QI.

Eligibility criteria: Inclusion Criteria:

* clinicians, managers, commissioners, service users and carers, and researchers who have an interest in learning QI methods.

Exclusion Criteria:

* No exclusion criteria

Primary outcomes:
measure: Transfer of knowledge of QI method into clinical practice
timeFrame: 6-8 months
Secondary outcomes:
measure: Experience of learning measured using eLearning systems success construct questionnaire
timeFrame: Immediately after learning.
measure: Knowledge gained measured through the knowledge of QI methods questionnaire
timeFrame: pre learning, immediately after learning and 6-8 months after learning.
measure: Impact of QI4U learning
timeFrame: 6-8 months
Other outcomes:
Locations:
city: London
country: United Kingdom
facility: Nihr Clahrc Nwl
Study officials:
affiliation: NIHR CLAHRC NWL
name: Vimal Sriram, MSc
role: PRINCIPAL_INVESTIGATOR
References:
citation: Glasziou P, Ogrinc G, Goodman S. Can evidence-based medicine and clinical quality improvement learn from each other? BMJ Qual Saf. 2011 Apr;20 Suppl 1(Suppl_1):i13-17. doi: 10.1136/bmjqs.2010.046524.
citation: Ogrinc G, Headrick LA, Morrison LJ, Foster T. Teaching and assessing resident competence in practice-based learning and improvement. J Gen Intern Med. 2004 May;19(5 Pt 2):496-500. doi: 10.1111/j.1525-1497.2004.30102.x.
citation: Batalden P, Davidoff F. Teaching quality improvement: the devil is in the details. JAMA. 2007 Sep 5;298(9):1059-61. doi: 10.1001/jama.298.9.1059. No abstract available.
citation: Wutoh R, Boren SA, Balas EA. eLearning: a review of Internet-based continuing medical education. J Contin Educ Health Prof. 2004 Winter;24(1):20-30. doi: 10.1002/chp.1340240105.
citation: George PP, Papachristou N, Belisario JM, Wang W, Wark PA, Cotic Z, Rasmussen K, Sluiter R, Riboli-Sasco E, Tudor Car L, Musulanov EM, Molina JA, Heng BH, Zhang Y, Wheeler EL, Al Shorbaji N, Majeed A, Car J. Online eLearning for undergraduates in health professions: A systematic review of the impact on knowledge, skills, attitudes and satisfaction. J Glob Health. 2014 Jun;4(1):010406. doi: 10.7189/jogh.04.010406.
citation: Mann KJ, Craig MS, Moses JM. Quality improvement educational practices in pediatric residency programs: survey of pediatric program directors. Acad Pediatr. 2014 Jan-Feb;14(1):23-8. doi: 10.1016/j.acap.2012.11.003.
citation: Boonyasai RT, Windish DM, Chakraborti C, Feldman LS, Rubin HR, Bass EB. Effectiveness of teaching quality improvement to clinicians: a systematic review. JAMA. 2007 Sep 5;298(9):1023-37. doi: 10.1001/jama.298.9.1023.
citation: Wong BM, Etchells EE, Kuper A, Levinson W, Shojania KG. Teaching quality improvement and patient safety to trainees: a systematic review. Acad Med. 2010 Sep;85(9):1425-39. doi: 10.1097/ACM.0b013e3181e2d0c6.
citation: Singh MK, Ogrinc G, Cox KR, Dolansky M, Brandt J, Morrison LJ, Harwood B, Petroski G, West A, Headrick LA. The Quality Improvement Knowledge Application Tool Revised (QIKAT-R). Acad Med. 2014 Oct;89(10):1386-91. doi: 10.1097/ACM.0000000000000456.
citation: Wang Y-S, Wang H-Y, Shee DY. Measuring e-learning systems success in an organizational context: Scale development and validation. Comput. Human Behav. 2007;23:1792-808.