Evidence map›Paper›PMID 38032709›Full record

ArticleJMIR human factors2023

Facilitating In-House Mobile App Development Within Psychiatric Outpatient Services for Patients Diagnosed With Borderline Personality Disorder: Rapid Application Development Approach.

Ali Abbas Shaker, Stephen F Austin, Mie Sedoc Jørgensen, John Aasted Sørensen, Henrik Bechmann, Henriette E Kinnerup, Charlotte Juul Petersen, Ragnar Klein Olsen, Erik Simonsen

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 5 institutions in 1 country.

Ali Abbas ShakerPsychiatric Research Unit, Psychiatric Department, Region Zealand Psychiatry, Slagelse, Denmark.ORCID 0000-0001-9912-5134
Stephen F AustinPsychiatric Research Unit, Psychiatric Department, Region Zealand Psychiatry, Slagelse, Denmark.ORCID 0000-0001-5988-0565
Mie Sedoc JørgensenPsychiatric Research Unit, Psychiatric Department, Region Zealand Psychiatry, Slagelse, Denmark.ORCID 0000-0003-3320-1231
John Aasted SørensenResearch Unit: AI, Mathematics and Software, Department of Engineering Technology and Didactics, Technical University of Denmark, Ballerup, Denmark.ORCID 0000-0003-2852-2292
Henrik BechmannResearch Unit: AI, Mathematics and Software, Department of Engineering Technology and Didactics, Technical University of Denmark, Ballerup, Denmark.ORCID 0000-0001-6463-4764
Henriette E KinnerupMental Health Services South, Psychiatry Region Zealand, Maribo, Denmark.ORCID 0009-0002-8766-7424
Charlotte Juul PetersenMental Health Services South, Copenhagen University Hospital, Psychiatry Region Zealand, Vordingborg, Denmark.ORCID 0000-0003-3724-6808
Ragnar Klein OlsenPsychiatric Research Unit, Psychiatric Department, Region Zealand Psychiatry, Slagelse, Denmark.ORCID 0000-0003-1696-3082
Erik SimonsenDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-6134-2392
Region Zealand · DKTechnical University of Denmark · DKUniversity of Copenhagen · DKMental Health Services · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile app development within mental health is often time- and resource-consuming, challenging the development of mobile apps for psychiatry. There is a continuum of software development methods ranging from linear (waterfall model) to continuous adaption (Scrum). Rapid application development (RAD) is a model that so far has not been applied to psychiatric settings and may have some advantages over other models.

objectiveThis study aims to explore the utility of the RAD model in developing a mobile app for patients with borderline personality disorder (BPD) in a psychiatric outpatient setting.

methodsThe 4 phases of the RAD model: (1) requirements planning, (2) user design, (3) construction, and (4) cutover, were applied to develop a mobile app within psychiatric outpatient services for patients diagnosed with BPD.

resultsFor the requirements planning phase, a short time frame was selected to minimize the time between product conceptualization and access within a clinical setting. Evidenced-based interactive content already developed was provided by current staff to enhance usability and trustworthiness. For the user design phase, activity with video themes and a discrete number of functions were used to improve the app functionality and graphical user interface. For the construction phase, close collaboration between clinicians, researchers, and software developers yielded a fully functional, in-house-developed app ready to be tested in clinical practice. For the cutover phase, the mobile app was tested successfully with a small number (n=5) of patients with a BPD.

conclusionsThe RAD model could be meaningfully applied in a psychiatric setting to develop an app for BPD within a relatively short time period from conceptualization to implementation in the clinic. Short time frames and identifying a limited number of stakeholders with relevant skills in-house facilitated the use of this model. Despite some limitations, RAD could be a useful model in the development of apps for clinical populations to enable development and access to evidence-based technology.

Indexed as

Borderline Personality DisorderMobile ApplicationsAmbulatory CareAmbulatory Care FacilitiesHumansOutpatientsborderline personality disorderdesigndevelopmentimplementationin-house developmentinnovationmental healthmobile applicationpsychiatricpsychiatric servicessoftware modelsuser design

Identifiers

PMID38032709
PMCPMC10722361
OpenAlexW4386983465

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LicenceCC BY
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Registered trials

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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.