NCT07398235

Brief Summary

A Qualitative Study to Explore the Barriers to Adoption of Clinical Decision Support Systems

Trial Health

87
On Track

Trial Health Score

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

Enrollment
18

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Jan 2026

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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 Start

First participant enrolled

January 10, 2026

Completed
9 days until next milestone

First Submitted

Initial submission to the registry

January 19, 2026

Completed
12 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 31, 2026

Completed
9 days until next milestone

First Posted

Study publicly available on registry

February 9, 2026

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

March 16, 2026

Completed
Last Updated

May 18, 2026

Status Verified

May 1, 2026

Enrollment Period

21 days

First QC Date

January 19, 2026

Last Update Submit

May 14, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • Saturation of Themes Related to Barriers to CDSS Adoption

    The primary outcome examines the barriers to clinical decision support system adoption, such as hardware issues, governance concerns, user-interface problems, and trusted information. These themes will be examined during interviews with open-ended questions to allow user experiences to be recorded. This study will use purposive sampling with maximum variation to ensure representation across key categories of Emergency Department clinicians who use clinical decision support systems (CDSS). Participants will be selected to capture a range of roles and experiences, including Advanced Clinical Practitioners (ACPs), Physician Associates (PAs), Clinical Support Workers (CSWs), nurses, and doctors at different levels (Foundation Year 1-2, Senior House Officers, Registrars, and Consultants). Recruitment will continue until data saturation of themes related to CDSS adoption is achieved within and across these categories, anticipated at approximately one to two participants per role group.

    The study ran between 10th January 2026 until 31 January 2026. The study was considered complete once all planned participant interviews have been conducted or recruitment has formally ceased following achievement of data saturation.

Study Arms (8)

FY1/2

Foundation Year 1 \& 2 Doctors

Other: Semi-structured interview

SHO

Senior House Officer level doctor above FY2 but below Registrar

Other: Semi-structured interview

Registrar

Registrar level doctor

Other: Semi-structured interview

Consultant

Consultant level doctor

Other: Semi-structured interview

Physician Assistant

Physician Assistant clinician

Other: Semi-structured interview

ACP

Advanced Clinical Practitioner

Other: Semi-structured interview

CSW

Clinical Support Worker

Other: Semi-structured interview

Nurse

Registered Nurse

Other: Semi-structured interview

Interventions

A 20-30 minute semi-structured interview using the pre-defined topic sheet

ACPCSWConsultantFY1/2NursePhysician AssistantRegistrarSHO

Eligibility Criteria

Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Hospital clinicians employed by Medway NHS Foundation Trust

You may qualify if:

  • Employed by Medway NHS Foundation Trust at the time of recruitment
  • Working clinically within the Emergency Department
  • Clinical grade of FY1, FY2, SHO/CTF, SAS/Registrar, Consultant, Nurse, Advanced Clinical practitioner, Physician Assistant, or Clinical Support Worker
  • Involved in the assessment and management of adult emergency department patients
  • Have routine access to the Trust electronic patient record system (Sunrise EPR) during clinical duties
  • Able to provide informed consent to participate
  • Aged 18 years or older

You may not qualify if:

  • Bank, agency, or locum staff who are not permanently or regularly employed by the department.
  • Staff currently on leave, secondment, or not actively practising in the ED during the data collection period.
  • Clinicians currently involved in the design, management, or evaluation of the CDSS system under study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Medway NHS Foundation Trust

Gillingham, Kent, ME7 5NY, United Kingdom

Location

Related Publications (5)

  • Mebrahtu TF, Skyrme S, Randell R, Keenan AM, Bloor K, Yang H, Andre D, Ledward A, King H, Thompson C. Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes: a systematic review of experimental and observational studies. BMJ Open. 2021 Dec 15;11(12):e053886. doi: 10.1136/bmjopen-2021-053886.

    PMID: 34911719BACKGROUND
  • Meunier PY, Raynaud C, Guimaraes E, Gueyffier F, Letrilliart L. Barriers and Facilitators to the Use of Clinical Decision Support Systems in Primary Care: A Mixed-Methods Systematic Review. Ann Fam Med. 2023 Jan-Feb;21(1):57-69. doi: 10.1370/afm.2908.

    PMID: 36690490BACKGROUND
  • Chen W, O'Bryan CM, Gorham G, Howard K, Balasubramanya B, Coffey P, Abeyaratne A, Cass A. Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation. Implement Sci Commun. 2022 Jul 28;3(1):81. doi: 10.1186/s43058-022-00326-x.

    PMID: 35902894BACKGROUND
  • Liberati EG, Ruggiero F, Galuppo L, Gorli M, Gonzalez-Lorenzo M, Maraldi M, Ruggieri P, Polo Friz H, Scaratti G, Kwag KH, Vespignani R, Moja L. What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation. Implement Sci. 2017 Sep 15;12(1):113. doi: 10.1186/s13012-017-0644-2.

    PMID: 28915822BACKGROUND
  • Sutton RT, Pincock D, Baumgart DC, Sadowski DC, Fedorak RN, Kroeker KI. An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digit Med. 2020 Feb 6;3:17. doi: 10.1038/s41746-020-0221-y. eCollection 2020.

    PMID: 32047862BACKGROUND

Related Links

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
1 Day
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Chief Investigator

Study Record Dates

First Submitted

January 19, 2026

First Posted

February 9, 2026

Study Start

January 10, 2026

Primary Completion

January 31, 2026

Study Completion

March 16, 2026

Last Updated

May 18, 2026

Record last verified: 2026-05

Data Sharing

IPD Sharing
Will not share

Locations