Evidence map›Paper›PMID 39964956›Full record

ArticleJMIR cancer2025

Development and Implementation of a Personal Virtual Assistant for Patient Engagement and Communication in Postsurgical Cancer Care: Feasibility Cohort Study.

Miguel Bargas-Ochoa, Alejandro Zulbaran-Rojas, M G Finco, Anthony B Costales, Areli Flores-Camargo, Rasha O Bara, Manuel Pacheco, Tina Phan, Aleena Khichi, Bijan Najafi

Abstract read
In one paragraph

Article in JMIR cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Miguel Bargas-OchoaDigital Health Access Center (DiHAC), Michael E DeBakey Department of Surgery, Baylor College of Medicine, 7200 Cambridge st, Houston, TX, 77030, United States.ORCID 0000-0003-4419-1761
Alejandro Zulbaran-RojasDigital Health Access Center (DiHAC), Michael E DeBakey Department of Surgery, Baylor College of Medicine, 7200 Cambridge st, Houston, TX, 77030, United States.ORCID 0000-0002-3663-6882
M G FincoDepartment of Physical Therapy, University of North Texas Health Science Center, Fort Worth, TX, United States.ORCID 0000-0003-0637-2772
Anthony B CostalesDivision of Gynecologic Oncology, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0003-4326-9782
Areli Flores-CamargoDigital Health Access Center (DiHAC), Michael E DeBakey Department of Surgery, Baylor College of Medicine, 7200 Cambridge st, Houston, TX, 77030, United States.ORCID 0000-0002-0490-6630
Rasha O BaraDigital Health Access Center (DiHAC), Michael E DeBakey Department of Surgery, Baylor College of Medicine, 7200 Cambridge st, Houston, TX, 77030, United States.ORCID 0000-0001-8464-8696
Manuel PachecoDigital Health Access Center (DiHAC), Michael E DeBakey Department of Surgery, Baylor College of Medicine, 7200 Cambridge st, Houston, TX, 77030, United States.ORCID 0009-0002-4915-912X
Tina PhanDigital Health Access Center (DiHAC), Michael E DeBakey Department of Surgery, Baylor College of Medicine, 7200 Cambridge st, Houston, TX, 77030, United States.ORCID 0000-0002-6834-4067
Aleena KhichiDigital Health Access Center (DiHAC), Michael E DeBakey Department of Surgery, Baylor College of Medicine, 7200 Cambridge st, Houston, TX, 77030, United States.ORCID 0009-0006-1255-8038
Bijan NajafiDigital Health Access Center (DiHAC), Michael E DeBakey Department of Surgery, Baylor College of Medicine, 7200 Cambridge st, Houston, TX, 77030, United States.ORCID 0000-0002-0320-8101

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
NCI NIH HHS P30 CA125123
6 · The paper itself

Abstract

Background: Cancer-care complexity heightens communication challenges between health care providers and patients, impacting their treatment adherence. This is especially evident upon hospital discharge in patients undergoing surgical procedures. Digital health tools offer potential solutions to address communication challenges seen in current discharge protocols. We aim to explore the usability and acceptability of an interactive health platform among discharged patients who underwent oncology-related procedures. Methods: A 4-week exploratory cohort study was conducted. Following hospital discharge, a tablet equipped with an integrated Personal Virtual Assistant (PVA) system was provided to patients who underwent oncology-related procedures. The PVA encompasses automated features that provide personalized care plans, developed through collaboration among clinicians, researchers, and engineers from various disciplines. These plans include guidance on daily specific assignments that were divided into 4 categories: medication intake, exercise, symptom surveys, and postprocedural specific tasks. The aim was to explore the acceptability of the PVA by quantification of dropout rate and assessing adherence to each care plan category throughout the study duration. The secondary aim assessed acceptability of the PVA through a technology acceptance model (TAM) questionnaire that examined ease of use, usefulness, attitude toward use, and privacy concerns. Results: In total, 17 patients were enrolled. However, 1 (5.8%) patient dropped out from the study after 3 days due to health deterioration, leaving 16/17 (94.2%) completing the study (mean age 54.5, SD 12.7, years; n=9, 52% Caucasian; n=14, 82% with a gynecological disease; n=3, 18% with a hepatobiliary disease). At the study end point, adherence to care plan categories were 78% (SD 25%) for medications, 81% (SD 24%) for exercises, 61% (SD 30%) for surveys, and 58% (SD 44%) for specific tasks such as following step-by step wound care instructions, managing drains, administering injectable medications independently, and performing pelvic baths as instructed. There was an 80% patient endorsement (strongly agree or agree) across all TAM categories. Conclusions: This study suggests the potential acceptability of the PVA among patients discharged after oncology-related procedures, with a dropout rate of less than 6% and fair-to-good adherence to tasks such as medication intake and exercise. However, these findings are preliminary due to the small sample size and highlight the need for further research with larger cohorts to validate and refine the system.

Indexed as

Computers, HandheldNeoplasmsPatient ParticipationPostoperative CareAdultAgedCohort StudiesCommunicationFeasibility StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesdigital healthmedication adherence postsurgerymHealthmobile healthpatient engagementpersonal virtual assistantposthospital dischargepostoperative supportremote patient monitoringsurgical oncology

Identifiers

PMID39964956
PMCPMC11855163

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.