Video-recOrded hospItal dischaRge (VOIR)

This study evaluates the suitability and acceptability of video-recorded discharge via the Patient Knows Best app. Through a randomized control trial, patients receive either standard discharge care or standard care supplemented with video-recorded discharge. Clinical teams record briefings covering medication and wound care, which patients can access multiple times on their smart devices. Patients and clinical staff complete questionnaires to assess acceptance and feasibility. Feasibility is determined by recruitment, retention, and completion rates, with patient engagement and viewing habits also analyzed. The study aims to enhance patient understanding and continuity of care through accessible discharge information.

Study Design

The study aims to assess how suitable and acceptable the use of video-recorded discharge via the Patient Knows Best or Ortus-iHealth application is. It employs a randomised control trial design, with one group receiving standard discharge care and another receiving the standard care plus video-recorded discharge.

Upon discharge from hospital, the clinical team (e.g, nurses and doctors) will record the routine discharge briefing, covering aspects such as medication and wound care, for consenting patients. This briefing will be based on the discharge letter from the medical team and will last approximately up to three minutes. It will take place in a private hospital ward room, using the patient's or their relative's smart device (e.g., mobile or tablet). Subsequently, the recorded video will be uploaded to the patient's Patient Knows Best app account. Patients can review the video multiple times to reinforce their understanding of the discharge information, including medication advice, wound dressing, and exercise. Additionally, they can share it with their relatives, as well as community and district nursing teams, to enhance the clarity of shared information and continuity of care.

Both control and intervention group patients will receive a self-reported questionnaire regarding their acceptance of the discharge process, satisfaction levels, and its impact on their quality of life. Clinical staff involved in the recording will also complete a questionnaire assessing the feasibility, practicality, and satisfaction with the new intervention.

The feasibility of the study will be evaluated based on recruitment numbers, retention rates, completion rates, and the chosen questionnaire\&#39;s suitability. Questionnaires will be administered post-discharge, one week after discharge, and thirty days later. Additionally, patient engagement with the Patient Knows Best platform and video viewing habits will be analysed to explore any differences among demographic groups.

Eligibility Criteria:
Inclusion Criteria:

* Age \>18 years old
* Anticipated to be discharged to their own home or that of a relative;
* Staying for at least one night on a participating hospital ward;
* Recently discharge (in the last 2 months) from the participating hospital ward with the same clinical problem as assessed by the care professionals;
* From cardiothoracic centre-Basildon or Elderly ward-Southend
* Have a personal digital device (e.g., mobile or tablet)/ or their close relative and mobile app
* Able to read and understand English.
* Relative or patient willing and able to give informed consent
* Clinical Frailty scale of ≤ 8 using Rockwood Frailty Scale

Exclusion Criteria:

* Patients live out of the area or plan to be transferred to another acute hospital;
* Discharged after recurrent admissions for the same clinical complaint as assessed by the care professionals;
* Patient or immediate carer don't have a personal digital device capable of hosting Patient Knows Best/ Ortus-iHealth app;
* Patient or relative unable or unwilling to upload the personalised discharge video to mobile app;
* Admitted for psychiatric reasons (other than dementia/delirium);
* Identified as being at the end of life and whose care has become palliative / clinical Frailty scale of \> 8 using Rockwood Frailty Scale