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BACKGROUND: Previous 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). OBJECTIVE: This study aimed to explore both causes and potential solutions to alleviate the burden of these waits. METHODS: A 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. RESULTS: SLR 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. CONCLUSIONS: In 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.
Jayaraajan et al. (Tue,) studied this question.
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