Measuring the Recovery of Barts Health Patients With Electronic Follow-up

NCT06038045 | Completed

• 1 other identifier: 318066
• Study Type: observational
• Target: 314
• Locations: 1 country
• Sites: 1

Brief Summary

More and more people are surviving emergency, life-threatening illnesses. However, survival often comes at a cost to patients' wellbeing. Many suffer from being so ill in ways not necessarily related to their original illness. Patients struggle with their normal activities of daily living or to do the job they did before. They struggle to live independently, to enjoy a normal diet, or to be pain-free. This leads to a decrease in their quality of life, placing a burden on families. Investigators don't have a good method of highlighting and representing the issues faced by these patients. Investigators have recently implemented a service innovation project, using an an app-based questionnaire in two groups (patients that survive emergency surgery, and those who survive critical illness) to highlight these problems early, so that individuals are offered the right help and services to return to living their lives as fully as possible. Patients will be asked to fill in an electronic (on-line) questionnaire while in hospital, and at 1 and 6 months afterwards. Along side this investigators intend to perform a qualitative assessment of the value and acceptability of this project. Investigators will interview patients approximately 2-3 weeks after the questionnaire completion at 1 and 6 months to determine how easy it was to use, how acceptable the process was and how well it described and highlighted their problems. If this system works, it would become part of routine care, extended to patients admitted as emergencies to hospital, and used to develop a national program for all UK hospital patients

Conditions

Surgery; Critical Illness; Trauma

Outcome Measures

Primary Outcomes (1)

• This is a qualitative study exploring the feasibility and acceptability of the electronic HRQoL

  Purposive sampling will be carried out on the patient population those filling in online questionnaires and health care staff involved in patient care. Their views will be recorded to assess the suitability and acceptability of the digital questionnaires. The outcome will be responses to the semi structured interview. These data will be analysed to derive themes, using the saturation method. Since August 2024, we have introduced an online questionnaire based on the feedback of a few patients.

  6 months to one year

Eligibility Criteria

• Age: 18 Years - 110 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The study population will be patients that are admitted to the critical care wards with any indication, and those above the age of 18 years and able to consent for the study. The PI will adopt a purposive sampling method to ensure that age, gender and ethnicity is equally represented in the population. Furthermore, the health care staff including clinicians, and follow- up clinic staff, physiotherapists, dieticians/nutritionist alike and staff involved in healthcare will be interviewed for their feedback on the questionnaires.

You may qualify if:

• Patients undergoing emergency laparotomy, regardless of admission to the Adult Critical Care Unit.
• Patients requiring Level 3 care admitted to the Adult Critical Care Unit with length of stay of \>56 hours
• Clinical staff involved in the pathway of care affected by the ePRO.
• Purposive sampling to include patients based on age, gender, ethnicity, language spoken, digital literacy and reason for admission

You may not qualify if:

• Those patients \<18 years of age
• Those not expected to survive 3 months post discharge; as per clinical decision making
• Patients unable to consent to and without carers able to consent;

Sponsors & Collaborators

• Queen Mary University of London: lead

Study Sites (1)

The Royal London Hospital

London, E1 1FR, United Kingdom

Location

Related Publications (8)

• Van Der Wees PJ, Nijhuis-Van Der Sanden MW, Ayanian JZ, Black N, Westert GP, Schneider EC. Integrating the use of patient-reported outcomes for both clinical practice and performance measurement: views of experts from 3 countries. Milbank Q. 2014 Dec;92(4):754-75. doi: 10.1111/1468-0009.12091.

  PMID: 25492603 BACKGROUND

• Puthucheary Z, Brown C, Corner E, Wallace S, Highfield J, Bear D, Rehill N, Montgomery H, Aitken L, Turner-Stokes L. The Post-ICU presentation screen (PICUPS) and rehabilitation prescription (RP) for intensive care survivors part II: Clinical engagement and future directions for the national Post-Intensive care Rehabilitation Collaborative. J Intensive Care Soc. 2022 Aug;23(3):264-272. doi: 10.1177/1751143720988708. Epub 2021 Feb 1.

  PMID: 36033242 BACKGROUND

• Major ME, van Nes F, Ramaekers S, Engelbert RHH, van der Schaaf M. Survivors of Critical Illness and Their Relatives. A Qualitative Study on Hospital Discharge Experience. Ann Am Thorac Soc. 2019 Nov;16(11):1405-1413. doi: 10.1513/AnnalsATS.201902-156OC.

  PMID: 31394924 BACKGROUND

• Law J, Welch C, Javanmard-Emamghissi H, Clark M, Bisset CN, O'Neil P, Moug SJ; ELF study group. Decision-making for older patients undergoing emergency laparotomy: defining patient and clinician values and priorities. Colorectal Dis. 2020 Nov;22(11):1694-1703. doi: 10.1111/codi.15165. Epub 2020 Jun 21.

  PMID: 32464712 BACKGROUND

• Vilches-Moraga A, Rowley M, Fox J, Khan H, Paracha A, Price A, Pearce L. Emergency laparotomy in the older patient: factors predictive of 12-month mortality-Salford-POPS-GS. An observational study. Aging Clin Exp Res. 2020 Nov;32(11):2367-2373. doi: 10.1007/s40520-020-01578-0. Epub 2020 May 24.

  PMID: 32449105 BACKGROUND

• Poulton TE, Moonesinghe R, Raine R, Martin P; National Emergency Laparotomy Audit project team. Socioeconomic deprivation and mortality after emergency laparotomy: an observational epidemiological study. Br J Anaesth. 2020 Jan;124(1):73-83. doi: 10.1016/j.bja.2019.08.022.

  PMID: 31860444 BACKGROUND

• Ray S, Laur C, Golubic R. Malnutrition in healthcare institutions: a review of the prevalence of under-nutrition in hospitals and care homes since 1994 in England. Clin Nutr. 2014 Oct;33(5):829-35. doi: 10.1016/j.clnu.2013.10.017. Epub 2013 Nov 1.

  PMID: 24238787 BACKGROUND

• McNelly AS, Rawal J, Shrikrishna D, Hopkinson NS, Moxham J, Harridge SD, Hart N, Montgomery HE, Puthucheary ZA. An Exploratory Study of Long-Term Outcome Measures in Critical Illness Survivors: Construct Validity of Physical Activity, Frailty, and Health-Related Quality of Life Measures. Crit Care Med. 2016 Jun;44(6):e362-9. doi: 10.1097/CCM.0000000000001645.

  PMID: 26974547 BACKGROUND

MeSH Terms

Conditions

Critical Illness; Wounds and Injuries

Condition Hierarchy (Ancestors)

Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 31, 2023
• First Posted: September 14, 2023
• Study Start: October 20, 2023
• Primary Completion: February 28, 2025
• Study Completion: February 28, 2025
• Last Updated: March 24, 2025

Record last verified: 2025-03

Data Sharing

• IPD Sharing: Will not share

Locations

GB (1)