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Patient Acceptability of Autonomous Telemedicine

U

Ufonia

Status

Unknown

Conditions

Cataract After

Treatments

Other: This study assess acceptability of autonomous conversation as part of cataract surgery follow up.

Study type

Observational

Funder types

Other
Industry

Identifiers

Details and patient eligibility

About

Patients will have an automated call supervised by a human clinician to check how they are after uncomplicated cataract surgery as part of their standard of care. The study aims to evaluate the acceptability of this system through a net promoter score and for a subsection of patients using a qualitative interview.

Full description

The study will be a qualitative cohort design. The target will be to recruit 1000 patients who meet the inclusion criteria and provide consent following the process set out below. This represents recruiting 75% of the total projected number of patients who will undergo cataract surgery during the trial period.

Currently at Buckinghamshire Healthcare NHS Trust patients who have uncomplicated cataract surgery are given post-op instructions and assessed for their suitability to undergo telephone follow-up by the nursing team in the discharge lounge. If deemed suitable for a telephone call (equivalent to the criteria for inclusion in this study, including the capacity to consent) a date to expect a telephone follow-up call is given. During the study these patients will also be given an information leaflet and information relating to the study by the nursing team.

The post-op telephone call occurs three weeks later and at the start of this call patients will be asked if they consent to take part as well as if they have any further questions. If they agree to participate in the study their follow-up will be conducted by the autonomous human supervised system as well as additional questions to determine the acceptability of the system. If they decline to participate or are unable to consent (for example, the unlikely event that their capacity has become impaired following surgery), they will have their follow-up conducted by a human clinician as per the current standard of care.

For those patients who provide consent the autonomous human supervised system comprises several conversational elements which occur in order:

  1. Greeting and introduction
  2. Identification of patient
  3. Cataract follow-up symptom questions
  4. Patient's queries and frequently asked questions
  5. Acceptability questions
  6. Closure of call

If all of the questions aren't asked by the autonomous system or the human supervisor feels additional information is required they can ask these at the end of the call. The patient may withdraw from the automated call at any point.

Up to 50 patients (5% of total recruited) who consent to participate will be invited to take part in a subsequent structured telephone interview with a researcher to explore in greater depth their experience of using the system. The interview will last no more that 30 minutes and will be conducted within one week of the follow-up call.

Anonymised data from the patient ratings will undergo standard statistical analysis. The qualitative responses to the reasons why they gave their score as well as the answers to the in-depth interviews will undergo thematic analysis to understand patients' perceptions of having the follow-up conducted by the autonomous human supervised system.

Enrollment

500 estimated patients

Sex

All

Ages

16+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Routine, first or second eye cataract surgery with intraocular lens implantation without complications.
  • Above the age of 16.
  • Capacity to give consent
  • Access to a phone number.
  • Satisfactory command of English for a phone-based consultation.

Exclusion criteria

  • Combined glaucoma surgery
  • Retinal or glaucoma laser treatment
  • Corneal dystrophy or grafts
  • Combined vitreoretinal surgery

Trial contacts and locations

0

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Central trial contact

Guy Mole, BSc MBBS MSc

Data sourced from clinicaltrials.gov

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