Literature DB >> 32715388

Using implementation science to inform the integration of electronic patient-reported experience measures (ePREMs) into healthcare quality improvement: description of a theory-based application in primary care.

Kimberly Manalili1, Maria J Santana2,3,4.   

Abstract

BACKGROUND: Collecting and monitoring the information from patients through patient-reported experience measures (PREMs) about the quality of care they receive is important for tracking changes in healthcare quality, stimulate innovation, and enhance person-centred care. The objective of this theoretical paper is to discuss the use of implementation science theories, models, and frameworks to inform and evaluate the integration of the electronic collection of PREMs (ePREMs) in healthcare quality improvement for primary care in Canada.
METHODS: To assess potential knowledge-to-practice gaps in implementing ePREMs in primary care in Alberta, the overarching implementation model that will be used is the Knowledge to Action Cycle. An integrated knowledge translation approach will ensure ongoing engagement of key stakeholders (e.g. primary care providers, patients) throughout the study. ePREM implementation will be informed by the identification of barriers and facilitators to implementation using the Consolidated Framework for Implementation Research (CFIR). The CFIR brings an organizational perspective providing an opportunity to explore the intervention characteristics, the context of implementation, individual factors, and the processes that influence implementation of ePREMs in healthcare. Identified barriers and facilitators to ePREM implementation will be mapped to evidence-based implementation strategies and prioritized by stakeholders. The RE-AIM framework will be used to guide the evaluation of ePREM implementation outcomes after six months of implementation by assessing Reach, Effectiveness, Adoption, Implementation, and Maintenance (sustainability). DISCUSSION: Consultations with stakeholders affirm the importance of using integrated knowledge translation approaches and the need to better understand how to integrate ePREMs in primary care. Using an implementations science approach, this study can provide guidance for mitigating important ePREM implementation challenges and promote the successful uptake and use of ePREMs for quality improvement in healthcare.

Entities:  

Keywords:  Electronic data collection; Implementation science; Patient-reported experience measures; Person-centred care; Primary care; Quality improvement

Year:  2020        PMID: 32715388     DOI: 10.1007/s11136-020-02588-1

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  4 in total

1.  Using feedback tools to enhance the quality and experience of care.

Authors:  Jan R Boehnke; Claudia Rutherford
Journal:  Qual Life Res       Date:  2021-11       Impact factor: 4.147

2.  Development of a national health policy logic model to accelerate the integration of oncology and palliative care: a nationwide Delphi survey in Japan.

Authors:  Yu Uneno; Maki Iwai; Naoto Morikawa; Keita Tagami; Yoko Matsumoto; Junko Nozato; Takaomi Kessoku; Tatsunori Shimoi; Miyuki Yoshida; Aya Miyoshi; Ikuko Sugiyama; Kazuhiro Mantani; Mai Itagaki; Akemi Yamagishi; Tatsuya Morita; Akira Inoue; Manabu Muto
Journal:  Int J Clin Oncol       Date:  2022-06-17       Impact factor: 3.850

3.  Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach.

Authors:  Selena Davis; Marcy Antonio; Mindy Smith; Paul Burgener; Danielle C Lavallee; Morgan Price; Sarah C Fletcher; Francis Lau
Journal:  JMIR Form Res       Date:  2022-03-18

4.  Using an implementation science approach to implement and evaluate patient-reported outcome measures (PROM) initiatives in routine care settings.

Authors:  Angela M Stover; Lotte Haverman; Hedy A van Oers; Joanne Greenhalgh; Caroline M Potter
Journal:  Qual Life Res       Date:  2020-07-10       Impact factor: 4.147

  4 in total

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