Redesigning Pre-surgery Patient Journeys With Telehealth

NCT ID: NCT05781789

Last Updated: 2025-04-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

258 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-07-13

Study Completion Date

2026-12-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Prior to elective surgery, patients undergo preanaesthesia assessment to ensure timely optimisation of medical conditions that could adversely impact perioperative outcomes. Preadmission Service (PAS) clinic nurses at KK Hospital perform pre-surgery triage to identify patients requiring outpatient anaesthetic review. PAS data shows that only 8% of same-day-admission (SDA) patients needed an anaesthetist's review; the majority (92%) can be safely triaged to receive preanaesthesia assessment on the day of surgery. The aim of this study is to investigate the service re-design, efficacy and effectiveness of a new telehealth pre-surgery model of care for elective SDA patients. The investigators hypothesize that the telehealth pre-surgery new model of care will achieve an expected 50% uptake for SDA patients as the primary outcome during implementation. Secondary outcomes are patient cost savings, patient experience of the new model of care, and staff experience of the new workflow. The investigators will use a sequential exploratory mixed methods study design, consistent with the 5-stage model for telehealth research. An implementation science framework - the Normalisation Process Theory, underpins our 3-phase study. Phase 1 (service redesign) explores the feasibility of presrugery telehealth via semi-structured interviews of patients and healthcare staff. Phase 2 (preimplementation) investigates efficacy of the telehealth model of care by addressing service fidelity, and patient and staff experience using administrative data. Phase 3 is a pragmatic trial to ascertain effectiveness of the telehealthmodel of care, addressing the primary and secondary outcomes stated. This novel study using implementation science to redesign and implement presurgery telehealth will inform scale-up, spread, and sustainability of a new model of care within SingHealth and other health clusters in Singapore.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Surgery

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

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

Telehealth for preoperative evaluation

Intervention Type OTHER

Conduct of preoperative evaluation remotely using Zoom application

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

Telehealth for preoperative evaluation

Intervention Type OTHER

Conduct of preoperative evaluation remotely using Zoom application

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Telehealth for preoperative evaluation

Conduct of preoperative evaluation remotely using Zoom application

Intervention Type OTHER

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

Video consultation

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 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

Exclusion Criteria

* Healthcare participants:

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

21 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Nanyang Technological University

OTHER

Sponsor Role collaborator

Duke-NUS Graduate Medical School

OTHER

Sponsor Role collaborator

KK Women's and Children's Hospital

OTHER_GOV

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Chai-Rick Soh, FANZCA

Role: STUDY_CHAIR

Singapore General Hospital

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

KK Women's and Children's Hospital

Singapore, , Singapore

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Singapore

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type RESULT
PMID: 15166585 (View on PubMed)

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.

Reference Type RESULT
PMID: 23384334 (View on PubMed)

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.

Reference Type RESULT
PMID: 30048210 (View on PubMed)

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.

Reference Type RESULT
PMID: 20961442 (View on PubMed)

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.

Reference Type RESULT
PMID: 30667610 (View on PubMed)

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.

Reference Type DERIVED
PMID: 37771697 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

AM/HRT/008/2021

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.