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Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial.

Authors :
den Bakker CM
Schaafsma FG
Consten ECJ
Schraffordt Koops SE
van der Meij E
van de Ven PM
Bonjer HJ
Huirne JAF
Anema JR
Source :
The Lancet. Digital health [Lancet Digit Health] 2023 Aug; Vol. 5 (8), pp. e485-e494. Date of Electronic Publication: 2023 Jul 05.
Publication Year :
2023

Abstract

Background: Despite the adoption of minimally invasive techniques, recovery after abdominal surgery takes a long time. Electronic health (eHealth) modalities can provide guidance to patients, facilitating early return to normal activities. We aimed to assess the impact of a personalised eHealth programme on patients' return to normal activities after major abdominal surgery.<br />Methods: This single-blind, randomised, placebo-controlled trial was done at 11 teaching hospitals in the Netherlands. Eligible participants were aged 18-75 years who underwent a laparoscopic or open colectomy or hysterectomy. An independent researcher randomly allocated participants (in a 1:1 ratio) to either the intervention or control group by use of computer-based randomisation lists, with stratification by sex, type of surgery, and hospital. Participants in the intervention group had access to a perioperative, personalised eHealth programme consisting of both standard face-to-face care and eHealth, that comprised interactive tools offering goal attainment and a personalised outcome measurement, which managed recovery expectations and provided postoperative guidance tailored to each patient. Patients were provided with an activity tracker and had access to a website and mobile app with an electronic consultation (eConsult) functionality. The control group received standard care and access to a placebo website containing recovery advice provided by the hospital. The primary outcome was the number of days between surgery and personalised return to normal activities, assessed with Kaplan-Meier curves. Intention-to-treat and per-protocol analyses were done with a Cox regression model. This trial is registered with the Netherlands National Trial Register (NTR5686).<br />Findings: Between Feb 11, 2016, and Aug 9, 2017, 355 participants were randomly assigned to the intervention (n=178) or control (n=177) groups. 342 participants were included in the intention-to-treat analysis. The median time until return to normal activities was 52 days (IQR 33-111) in the intervention group, and 65 days (39-152) in the control group (adjusted hazard ratio 1·30 [95% CI 1·03-1·64]; p=0·027). The frequency of postoperative complications did not differ between groups.<br />Interpretation: This eHealth programme, delivering personalised care based on goal attainment scaling, enabled patients to return to their normal activities 13 days earlier than those who received standard care.<br />Funding: ZonMw.<br />Competing Interests: Declaration of interests CMdB, FGS, EvdM, HJB, JAFH, and JRA are the developers of the eHealth care programme under study. JAFH and JRA are consultants and certificate-holders of a spin-out company for implementation of the mobile application concerning the IkHerstel intervention in the Netherlands (ie, the intervention under study). JAFH received grants from Nederlandse Organisatie voor Wetenschappelijk Onderzoek, ZonMw, and Samsung, during the conduct of the study; and received a fee from Olympus, outside the submitted work. JRA holds a chair in insurance medicine paid by the Dutch Social Security Agency; and has received grants from ZonMw, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Instituut Gak, Uitvoeringsinstituut Werknemersverzekeringen, Sociale Zaken en Werkgelegenheid, VWS (volksgezondheid, welzijn en sport), Pfizer, Achmea, CVZ (college voor zorgverzekeringen), and Zorginstituut; all outside the submitted work. CMdB, FGS, ECJC, SESK, EvdM, PMvdV, and HJB declare no competing interests.<br /> (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Details

Language :
English
ISSN :
2589-7500
Volume :
5
Issue :
8
Database :
MEDLINE
Journal :
The Lancet. Digital health
Publication Type :
Academic Journal
Accession number :
37419843
Full Text :
https://doi.org/10.1016/S2589-7500(23)00084-5