Evidence map›Paper›PMID 35927701›Full record

ArticleBMC nursing2022

Identifying and adapting interventions to reduce documentation burden and improve nurses' efficiency in using electronic health record systems (The IDEA Study): protocol for a mixed methods study.

Gillian Strudwick, Lianne Jeffs, Jessica Kemp, Lydia Sequeira, Brian Lo, Nelson Shen, Petroiya Paterson, Noelle Coombe, Lily Yang, Kara Ronald and 5 more

Abstract read
In one paragraph

Article in BMC nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Gillian StrudwickInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. Gillian.Strudwick@camh.ca.
Lianne JeffsInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Jessica KempCentre for Complex Interventions, Centre for Addiction and Mental Health, 60 White Squirrel Way, Toronto, ON, M6J 1H4, Canada.
Lydia SequeiraCentre for Complex Interventions, Centre for Addiction and Mental Health, 60 White Squirrel Way, Toronto, ON, M6J 1H4, Canada.
Brian LoInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Nelson ShenInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Petroiya PatersonClinical Informatics, Sinai Health, Toronto, ON, Canada.
Noelle CoombeInformation Management Group, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Lily YangQuality and Patient Experience, Sinai Health, Toronto, ON, Canada.
Kara RonaldProfessional Practice, Nursing and Health Disciplines, Sinai Health, Toronto, ON, Canada.
Wei WangCentre for Complex Interventions, Centre for Addiction and Mental Health, 60 White Squirrel Way, Toronto, ON, M6J 1H4, Canada.
Sonia PagliaroliCerner Canada, Markham, ON, Canada.
Tania TajirianInformation Management Group, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Sara LingCentre for Complex Interventions, Centre for Addiction and Mental Health, 60 White Squirrel Way, Toronto, ON, M6J 1H4, Canada.
Damian JankowiczInformation Management Group, Centre for Addiction and Mental Health, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough EHR systems have become a critical part of clinical care, nurses are experiencing a growing burden due to documentation requirements, taking time away from other important clinical activities. There is a need to address the inefficiencies and challenges that nurses face when documenting in and using EHRs. The objective of this study is to engage nurses in generating ideas on how organizations can support and optimize nurses' experiences with their EHR systems, thereby improving efficiency and reducing EHR-related burden. This work will ensure the identified solutions are grounded in nurses' perspectives and experiences and will address their specific EHR-related needs.

methodsThis mixed methods study will consist of three phases. Phase 1 will evaluate the accuracy of the EHR system's analytics platform in capturing how nurses utilize the system in real-time for tasks such as documentation, chart review, and medication reconciliation. Phase 2 consists of a retrospective analysis of the nursing-specific analytics platform and focus groups with nurses to understand and contextualize their usage patterns. These focus groups will also be used to identify areas for improvement in the utilization of the EHR. Phase 3 will include focus groups with nurses to generate and adapt potential interventions to address the areas for improvement and assess the perceived relevance, feasibility, and impact of the potential interventions. DISCUSSION: This work will generate insights on addressing nurses' EHR-related burden and burnout. By understanding and contextualizing inefficiencies and current practices, opportunities to improve EHR systems for nursing professional practice will be identified. The study findings will inform the co-design and implementation of interventions that will support adoption and impact. Future work will include the evaluation of the developed interventions, and research on scaling and disseminating the interventions for use in different organizations, EHR systems, and jurisdictions in Canada.

Indexed as

BurnoutClinical informaticsDocumentationEfficiencyElectronic health recordsHealth information technologyNursingNursing informatics

Identifiers

PMID35927701
PMCPMC9351241

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.