Evidence map›Paper›PMID 35912756›Full record

SynthesisThe International journal of risk & safety in medicine2022

The use of digital solutions in alleviating the burden of IAPT's waiting times.

Keerthanaa Jayaraajan, Ahrabbey Sivananthan, Abeku Koomson, Aznavar Ahmad, Mohammed Haque, Mohammod Hussain

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in The International journal of risk & safety in medicine, 2022. 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
1.2field-weighted citation impact, top 22% 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, 8 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

6 authors at 1 institution in 1 country.

Keerthanaa JayaraajanImperial College Business School, London, UK.
Ahrabbey SivananthanImperial College Business School, London, UK.
Abeku KoomsonImperial College Business School, London, UK.
Aznavar AhmadImperial College Business School, London, UK.
Mohammed HaqueImperial College Business School, London, UK.
Mohammod HussainImperial College Business School, London, UK.
NIHR Imperial Biomedical Research Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious reports have shown that there are long waiting times to commence therapy in the community-based mental health programme, IAPT (Improving Access to Psychological Therapies).

objectiveThis study aimed to explore both causes and potential solutions to alleviate the burden of these waits.

methodsA Systematic Literature Review (SLR) and Semi-Structured Interviews (SSIs) were conducted to identify causes and effects of these waits. Consequently, meaningful recommendations were made and tested with the aim of improving IAPT's waiting times.

resultsSLR and SSIs revealed high 'Did Not Attend' (DNA) rates and a lack of support between initial appointments as being both a cause and effect of long waits. The identified issues were tackled with the development of an app design. Expert interviews and a mass survey fuelled the iterative process leading to a final prototype. Notable features included: therapist profile page, smart appointment reminders and patient timeline. Positive feedback was received from university students and ICS Digital, with scope to trial the app within Manchester CCG.

conclusionsIn the long run, the app aims to indirectly shorten waiting times by addressing treatment expectations and serving as an IAPT companion along the patient journey, thus reducing anxiety and consequently DNAs.

Indexed as

Health Services AccessibilityWaiting ListsAnxietyAnxiety DisordersHumansSurveys and QuestionnairesAnxietyCBTdepressionImproving Access to Psychological Therapies (IAPT)non-attendancewaiting times

Identifiers

PMID35912756
PMCPMC9844064
OpenAlexW4288043387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.