NCT05781789

Brief Summary

Prior to surgery, patients undergo preanaesthesia assessment to ensure timely optimisation of medical conditions that could adversely impact perioperative outcomes. At the Preadmission Service (PAS) clinic of KK hospital, nurses perform the first triage to identify patients who require outpatient anaesthetic review in advance of surgery. While all elective patients attend the PAS clinic, only 8% are require outpatient anaesthetic review. The majority 92%, can be safely triaged to receive preanaesthesia assessment on the day of surgery. In this project, the investigators propose to investigate the efficacy of a new pre-surgery workflow for elective surgical patients incorporating telehealth. The investigators hypothesize that the redesigned pre-surgery journey incorporating telehealth reduces in-person consultation at the pre-admission clinic by up to 90%. Primary outcome is the proportion of eligible same-day-admission patients assessed via telehealth. Secondary outcomes are:

  1. 1.Patient cost and time savings
  2. 2.Patient experience of the new model of care
  3. 3.Staff experience of the new workflow
  4. 4.Incidence of day-of-surgery cancellations

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
258

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Jul 2021

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress88%
Jul 2021Dec 2026

Study Start

First participant enrolled

July 13, 2021

Completed
1.7 years until next milestone

First Submitted

Initial submission to the registry

March 12, 2023

Completed
11 days until next milestone

First Posted

Study publicly available on registry

March 23, 2023

Completed
1.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2024

Completed
2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Expected
Last Updated

April 18, 2025

Status Verified

March 1, 2025

Enrollment Period

3.5 years

First QC Date

March 12, 2023

Last Update Submit

April 15, 2025

Conditions

Keywords

Preoperative evaluationTelehealth

Outcome Measures

Primary Outcomes (1)

  • Proportion of eligible elective surgery patients assessed successfully via telehealth for preoperative evaluation

    Of the total number of patients booked for elective surgery, the proportion of patients evaluated preoperatively by telehealth is measured.

    One year from the initiation of the implementation phase (Phase 3)

Secondary Outcomes (2)

  • Patient's perception and attitude towards a Telehealth model of care for preoperative evaluation

    5 months from July to November 2021

  • Healthcare providers' perception and attitude towards a Telehealth model of care for preoperative evaluation

    5 months from July to November 2021

Study Arms (2)

Patient participants

Patient booked for elective surgery and: Age 21 to 70 years English literacy Willing to provide signed consent Of any nationality Able to give own legal consent

Other: Telehealth for preoperative evaluation

Healthcare provider participants

Criteria: * Age 21 to 70 years * Healthcare professionals comprising clinic staff (surgical outpatient clinics, PAS), clinicians (anaesthetists, surgeons), and health service managers) * working in the perioperative clinical areas

Other: Telehealth for preoperative evaluation

Interventions

Conduct of preoperative evaluation remotely using Zoom application

Also known as: Video consultation
Healthcare provider participantsPatient participants

Eligibility Criteria

Age21 Years - 70 Years
Sexall(Gender-based eligibility)
Gender Eligibility DetailsPatient participants are female as they are recruited from a women's hospital
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patient participants are female patients booked for elective surgery at a tertiary women's hospital. Healthcare participants are nurses, administrators, surgeons and anaesthetists working in the preoperative and surgeons' clinics at a tertiary women's hospital.

You may qualify if:

  • Patient participants:
  • Age 21 to 70 years Listed for elective surgery English literacy Willing to provide signed consent Of any nationality Able to give own legal consent

You may not qualify if:

  • Healthcare participants:
  • Age 21 to 70 years Healthcare professionals comprising clinic staff (surgical outpatient clinics, PAS), clinicians (anaesthetists, surgeons), and health service managers)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

KK Women's and Children's Hospital

Singapore, 229899, Singapore

Location

Related Publications (6)

  • Wong DT, Kamming D, Salenieks ME, Go K, Kohm C, Chung F. Preadmission anesthesia consultation using telemedicine technology: a pilot study. Anesthesiology. 2004 Jun;100(6):1605-7. doi: 10.1097/00000542-200406000-00038. No abstract available.

  • Applegate RL 2nd, Gildea B, Patchin R, Rook JL, Wolford B, Nyirady J, Dawes TA, Faltys J, Ramsingh DS, Stier G. Telemedicine pre-anesthesia evaluation: a randomized pilot trial. Telemed J E Health. 2013 Mar;19(3):211-6. doi: 10.1089/tmj.2012.0132. Epub 2013 Feb 5.

  • Mullen-Fortino M, Rising KL, Duckworth J, Gwynn V, Sites FD, Hollander JE. Presurgical Assessment Using Telemedicine Technology: Impact on Efficiency, Effectiveness, and Patient Experience of Care. Telemed J E Health. 2019 Feb;25(2):137-142. doi: 10.1089/tmj.2017.0133. Epub 2018 Jul 26.

  • Murray E, Treweek S, Pope C, MacFarlane A, Ballini L, Dowrick C, Finch T, Kennedy A, Mair F, O'Donnell C, Ong BN, Rapley T, Rogers A, May C. Normalisation process theory: a framework for developing, evaluating and implementing complex interventions. BMC Med. 2010 Oct 20;8:63. doi: 10.1186/1741-7015-8-63.

  • Donelan K, Barreto EA, Sossong S, Michael C, Estrada JJ, Cohen AB, Wozniak J, Schwamm LH. Patient and clinician experiences with telehealth for patient follow-up care. Am J Manag Care. 2019 Jan;25(1):40-44.

  • Lew E, Tan SFJ, Teo A, Sng BL, Lum EPM. Perceptions and Attitudes of Patients and Health Care Stakeholders on Implementing a Telehealth Service for Preoperative Evaluation: A Qualitative Analysis. Telemed Rep. 2023 Jun 26;4(1):156-165. doi: 10.1089/tmr.2023.0023. eCollection 2023.

MeSH Terms

Interventions

Telemedicine

Intervention Hierarchy (Ancestors)

Delivery of Health CarePatient Care ManagementHealth Services Administration

Study Officials

  • Chai-Rick Soh, FANZCA

    Singapore General Hospital

    STUDY CHAIR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER GOV
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 12, 2023

First Posted

March 23, 2023

Study Start

July 13, 2021

Primary Completion

December 31, 2024

Study Completion (Estimated)

December 31, 2026

Last Updated

April 18, 2025

Record last verified: 2025-03

Data Sharing

IPD Sharing
Will not share

Locations