Evidence map›Paper›PMID 39652378›Full record

Observational studyJournal of medical Internet research2024

Association Between Patient Portal Engagement and Weight Loss Outcomes in Patients After Bariatric Surgery: Longitudinal Observational Study Using Electronic Health Records.

Xinmeng Zhang, Kaidi Kang, Chao Yan, Yubo Feng, Simon Vandekar, Danxia Yu, S Trent Rosenbloom, Jason Samuels, Gitanjali Srivastava, Brandon Williams and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Xinmeng ZhangDepartment of Computer Science, Vanderbilt University, Nashville, TN, United States.ORCID 0000-0001-7876-0753
Kaidi KangDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0003-0922-5727
Chao YanDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-6719-1388
Yubo FengDepartment of Computer Science, Vanderbilt University, Nashville, TN, United States.ORCID 0009-0003-9214-4991
Simon VandekarDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-7457-9073
Danxia YuDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-1710-9382
S Trent RosenbloomDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0001-7455-2260
Jason SamuelsDepartment of Surgery, Vanderbilt University School of Medicine, Nashville, TN, United States.ORCID 0000-0001-5427-3117
Gitanjali SrivastavaDepartment of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, United States.ORCID 0000-0002-8326-3089
Brandon WilliamsDepartment of Surgery, Vanderbilt University School of Medicine, Nashville, TN, United States.ORCID 0000-0002-7802-1317
Vance L AlbaughMetamor Institute, Pennington Biomedical Research Center, Baton Rouge, LA, United States.ORCID 0000-0002-5267-8951
Wayne J EnglishDepartment of Surgery, Vanderbilt University School of Medicine, Nashville, TN, United States.ORCID 0000-0001-9663-5761
Charles R FlynnDepartment of Surgery, Vanderbilt University School of Medicine, Nashville, TN, United States.ORCID 0000-0002-3749-0598
You ChenDepartment of Computer Science, Vanderbilt University, Nashville, TN, United States.ORCID 0000-0001-8232-8840

Funding

Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MARY Kay WASHINGTON · 2002 to 2026
$29.9M
The Gut Microbiota in Metabolic Surgery: A Multi-Ethnic, Multi-Omic, Longitudinal StudyR01DK126721 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YU, DANXIA · 2021 to 2025
$3.1M
NIDDK NIH HHS P30 DK058404NIDDK NIH HHS R01 DK126721
6 · The paper itself

Abstract

backgroundBariatric surgery is an effective intervention for obesity, but comprehensive postoperative self-management is essential for optimal outcomes. While patient portals are generally seen as beneficial in engaging patients in health management, the link between their use and post-bariatric surgery weight loss remains unclear.

objectiveThis study aimed to investigate the association between patient portal engagement and postoperative BMI reduction among patients after bariatric surgery.

methodsThis retrospective longitudinal study included patients who underwent Roux-en-Y gastric bypass or sleeve gastrectomy at Vanderbilt University Medical Center between January 2018 and March 2021. Patient portal engagement was measured during 4 stages: early (within 3 months after surgery), early midterm (3-6 months), late midterm (6-9 months), and late (9-12 months). Using generalized estimating equations, we estimated the associations between patients' portal engagements at these stages and the percentage of BMI reduction (%BMIR) at 3, 6, and 12 months after surgery. Covariates included duration since surgery, patient's age at the time of surgery, sex, race and ethnicity, type of bariatric surgery, severity of comorbid conditions, and socioeconomic disadvantage.

resultsThe study included 1415 patients, predominantly female (n=1145, 80.9%), with a racial composition of 76.9% (n=1088) White and 19.9% (n=282) Black. Overall, 805 (56.9%) patients underwent Roux-en-Y gastric bypass and 610 (43.1%) underwent sleeve gastrectomy. By 1 year after surgery, the median %BMIR was 31.5% (IQR 25.2%-36.8%), and the median number of active days on the patient portal was 54 (IQR 33-80). Early portal engagement was significantly associated with %BMIR at various postoperative times. Specifically, each additional 10 days of early portal engagement was associated with a 0.37% (95% CI -0.55% to -0.18%; P<.001) lower expected %BMIR at 3 months, a 1.11% (95% CI 0.82%-1.41%; P<.001) higher expected %BMIR at 6 months, and a 0.78% (95% CI 0.25%-1.31%; P=.004) higher expected %BMIR at 12 months. Furthermore, early midterm portal engagement was associated with a 0.36% (95% CI -0.69 to -0.03; P=.03) lower expected %BMIR at 6 months, but it was not significant at 12 months (P=.88). Late midterm and late portal engagement were not significantly associated with %BMIR at 12 months (P=.27 and P=.12, respectively). Furthermore, early engagement in various portal functions, such as messaging and accessing medical records, was significantly associated with a lower %BMIR at 3 months and a higher %BMIR at both 6 and 12 months (all P<.05).

conclusionsHigher patient portal engagement within 3 months after surgery-suggestive of stronger adherence to postoperative instructions and improved communication with care teams-is associated with less favorable weight loss immediately after surgery but enhanced postoperative weight loss outcomes at 6 and 12 months. However, the limitations of retrospective data-driven studies highlight the need for future intervention-based studies to validate these associations and establish causality.

Indexed as

Bariatric SurgeryElectronic Health RecordsPatient PortalsWeight LossAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedObesity, MorbidRetrospective Studiesbariatric surgerydata-drivenelectronic health recordslongitudinal studyobesitypatient engagementpatient portalpostoperative careretrospectiveweight loss

Identifiers

PMID39652378
PMCPMC11667139

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.