Evidence map›Paper›PMID 42434372›Full record

ArticleFrontiers in digital health2026

Impact of a digital pre- and rehabilitation program on postoperative outcomes after pelvic gynecological surgery.

Fabien Vidal, Guillaume Ploussard, Jean-Dominique Bernard, Justine Figurelli

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fabien VidalDepartment of Surgical Gynecology, La Croix du Sud Hôpital, Quint Fonsegrives, France.
Guillaume PloussardDepartment of Urology, La Croix du Sud Hôpital, Quint Fonsegrives, France.
Jean-Dominique BernardDepartment of Surgical Gynecology, La Croix du Sud Hôpital, Quint Fonsegrives, France.
Justine FigurelliDepartment of Surgical Gynecology, La Croix du Sud Hôpital, Quint Fonsegrives, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Growing evidence suggests that structured preoperative education and close postoperative monitoring improve surgical outcomes. Digital health solutions may facilitate the large-scale implementation of perioperative optimization pathways by integrating prehabilitation, patient education, and remote monitoring into routine care. Objective: To evaluate the impact of implementing a comprehensive digital perioperative coaching program (BETTY) on postoperative outcomes in patients undergoing elective pelvic gynecological surgery. Methods: This retrospective, single-center, pre- and postintervention study was conducted in a high-volume tertiary hospital. Consecutive adult patients undergoing elective pelvic gynecological surgery by a single experienced surgeon between February 2024 and January 2025 were included. During the fourth quarter of the study period, a digital perioperative pathway incorporating prehabilitation modules, structured education, rehabilitation guidance, and electronic patient-reported outcomes (ePROs) was implemented. The primary endpoint was the 90-day readmission rate. Secondary endpoints included length of stay (LOS) and high-grade postoperative complications. Outcomes before implementation (Q1-Q3) were compared with those after implementation (Q4). Results: A total of 426 patients were analyzed, including 313 in the preimplementation group and 113 in the postimplementation group. Baseline characteristics and surgical complexity were comparable between groups. The 90-day readmission rate decreased from 12.8% before implementation to 8.8% after implementation, corresponding to a 34% relative reduction ( Conclusions: The implementation of a structured digital perioperative pathway integrating prehabilitation and remote monitoring was associated with lower readmission and complication rates after pelvic gynecological surgery. Although differences did not reach statistical significance, the magnitude of effect suggests potential clinical relevance and supports further prospective evaluation.

Indexed as

eHealthgynecologyoncologyprehabilitationremote monitoringsurgery

Identifiers

PMID42434372
PMCPMC13350053

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