Evidence map›Paper›PMID 35308937›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2021

Application of the i-PARIHS framework in the implementation of speech recognition technology as a way of addressing documentation burden within a mental health context.

Brian Lo, Khaled Almilaji, Damian Jankowicz, Lydia Sequeira, Gillian Strudwick, Tania Tajirian

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

6 authors.

Brian LoCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Khaled AlmilajiCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Damian JankowiczCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Lydia SequeiraCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Gillian StrudwickCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Tania TajirianCentre for Addiction and Mental Health, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Documentation burden continues to be a critical issue in the adoption of comprehensive electronic health record systems. This case study demonstrates how the i-PARIHS framework can be applied to support the implementation of interventions in reducing documentation and EHR-related burden in a mental health context. As part of pre-adoption implementation activities for Speech Recognition Technology (SRT), a cross-sectional survey was conducted with physicians, residents, and fellows at an academic mental health hospital to explore their perceptions on SRT. Open-ended responses and follow-up interviews explored challenges and concerns on using SRT in practice. Through an analysis using the i-PARIHS framework, key considerations were mapped across the four components of the framework. This study demonstrates the value of applying well-established implementation frameworks, such as the i-PARIHS framework, in mitigating challenges related to documentation burden. Future studies should explore how implementation frameworks can be systematically embedded in addressing EHR-related burden.

Indexed as

Mental HealthSpeech PerceptionCross-Sectional StudiesDocumentationElectronic Health RecordsHumansTechnology

Identifiers

PMID35308937
PMCPMC8861762

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.