Evidence map›Paper›PMID 36745489›Full record

ArticleJMIR formative research2023

Implementation of a Knowledge Management System in Mental Health and Addictions: Mixed Methods Case Study.

Jill Chorney, Debbie Johnson Emberly, Jennifer Jeffrey, Amos Hundert, Onur Pakkanlilar, Sabina Abidi, Alexa Bagnell, Maureen Brennan, Leslie Anne Campbell, Sharon Clark and 2 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

12 authors at 2 institutions in 1 country.

Jill Chorney *Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-6137-049X
Debbie Johnson EmberlyMental Health and Addictions Program, IWK Health, Halifax, NS, Canada.ORCID https://orcid.org/0000-0003-0114-1211
Jennifer JeffreyMental Health and Addictions Program, IWK Health, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-9355-3776
Amos HundertMental Health and Addictions Program, IWK Health, Halifax, NS, Canada.ORCID https://orcid.org/0000-0001-8257-2202
Onur PakkanlilarEmergency Medical Care Inc, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-1045-8686
Sabina AbidiDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0001-5002-5810
Alexa BagnellDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-1484-9676
Maureen BrennanMental Health and Addictions Program, IWK Health, Halifax, NS, Canada.ORCID https://orcid.org/0000-0003-3510-6801
Leslie Anne CampbellDepartment of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0003-2534-0450
Sharon ClarkMental Health and Addictions Program, IWK Health, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-0923-1783
Kristina BradleyMental Health and Addictions Program, IWK Health, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-6216-6765
Olivia RossMental Health and Addictions Program, IWK Health, Halifax, NS, Canada.ORCID https://orcid.org/0000-0003-1468-0580
Izaak Walton Killam Health Centre · CADalhousie University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health and addictions (MHA) care is complex and individualized and requires coordination across providers and areas of care. Knowledge management is an essential facilitator and common challenge in MHA services.

objectiveThis paper aimed to describe the development of a knowledge management system (KMS) and the associated processes in 1 MHA program. We also aimed to examine the uptake and use, satisfaction, and feedback on implementation among a group of pilot testers.

methodsThis project was conducted as a continuous quality-improvement initiative. Integrated stakeholder engagement was used to scope the content and design the information architecture to be implemented using a commercially available knowledge management platform. A group of 30 clinical and administrative staff were trained and tested with the KMS over a period of 10 weeks. Feedback was collected via surveys and focus groups. System analytics were used to characterize engagement. The content, design, and full-scale implementation planning of the KMS were refined based on the results.

resultsSatisfaction with accessing the content increased from baseline to after the pilot. Most testers indicated that they would recommend the KMS to a colleague, and satisfaction with KMS functionalities was high. A median of 7 testers was active each week, and testers were active for a median of 4 days over the course of the pilot. Focus group themes included the following: the KMS was a solution to problems for staff members, functionality of the KMS was important, quality content matters, training was helpful and could be improved, and KMS access was required to be easy and barrier free.

conclusionsKnowledge management is an ongoing need in MHA services, and KMSs hold promise in addressing this need. Testers in 1 MHA program found a KMS that is easy to use and would recommend it to colleagues. Opportunities to improve implementation and increase uptake were identified. Future research is needed to understand the impact of KMSs on quality of care and organizational efficiency.

Indexed as

capacity buildinginformationknowledge managementmental healthtechnology

Identifiers

PMID36745489
PMCPMC9941906
OpenAlexW4312889324

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.