Evidence map›Paper›PMID 40789632›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2025

Virtual Diabetes "Boot Camp": An Innovative Model for Improving Glycemic Control.

Yi-Ju Chen, Renu Joshi, Anas Atrash, Safi Khattab, Salim M Saiyed

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 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. The 4Cs of Primary Care, Leveraging Artificial Intelligence, and Improving Clinical Practice.Journal of the American Board of Family Medicine : JABFM · 2025
    Article
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

5 authors.

Yi-Ju ChenFrom the Department of Internal Medicine, UPMC Central Pa., Harrisburg, PA (YJC, AA); Department of Family Medicine, Telehealth UPMC Central Pa., Harrisburg, PA (SMS, SK); Department of Endocrinology, UPMC Central Pa., Harrisburg, PA, USA (RJ).
Renu JoshiFrom the Department of Internal Medicine, UPMC Central Pa., Harrisburg, PA (YJC, AA); Department of Family Medicine, Telehealth UPMC Central Pa., Harrisburg, PA (SMS, SK); Department of Endocrinology, UPMC Central Pa., Harrisburg, PA, USA (RJ).
Anas AtrashFrom the Department of Internal Medicine, UPMC Central Pa., Harrisburg, PA (YJC, AA); Department of Family Medicine, Telehealth UPMC Central Pa., Harrisburg, PA (SMS, SK); Department of Endocrinology, UPMC Central Pa., Harrisburg, PA, USA (RJ).
Safi KhattabFrom the Department of Internal Medicine, UPMC Central Pa., Harrisburg, PA (YJC, AA); Department of Family Medicine, Telehealth UPMC Central Pa., Harrisburg, PA (SMS, SK); Department of Endocrinology, UPMC Central Pa., Harrisburg, PA, USA (RJ).
Salim M SaiyedFrom the Department of Internal Medicine, UPMC Central Pa., Harrisburg, PA (YJC, AA); Department of Family Medicine, Telehealth UPMC Central Pa., Harrisburg, PA (SMS, SK); Department of Endocrinology, UPMC Central Pa., Harrisburg, PA, USA (RJ). saiyeds@upmc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemedicine can improve access between physicians and patients and improve outcomes when deployed strategically in patients with chronic diseases. Telemedicine not only showed success in the care of chronic diseases, but its application also expanded exponentially during the COVID-19 pandemic. At our institution, a 12-week telemedicine diabetes "boot camp" was launched for patients with uncontrolled diabetes as an innovative means of providing accessible and high-quality patient care in primary care settings.

methodsPatients at primary care and endocrinology clinics with diabetes mellitus (DM) and glycohemoglobin (A1C) > 8.0% were voluntarily enrolled from September 2020 to November 2021. Dietitians and diabetes care and education specialists conducted biweekly visits via telemedicine for twelve weeks. Patient demographics, A1C, body mass index (BMI), and blood pressure were measured before and after the intervention.

resultsA total of 134 patients were included, and 94 patients (70.2%) completed 6 visits for the full 12-week program. The mean A1C reduction was -2.09% ± 2.4%, and the A1C change was uniform across age groups, gender, ethnicity, BMI, and referral clinic type. A greater A1C reduction in patients who completed all 6 visits was noted although not statistically significant. We found a negative correlation between the initial A1C and the change of A1C. No significant BMI or mean arterial pressure change was observed.

conclusionThis single arm study demonstrated an improvement in A1C for all patients with a history of poorly controlled diabetes, regardless of patient characteristics. Higher initial A1C was associated with a greater A1C reduction.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2Glycemic ControlTelemedicineAdultAgedCOVID-19FemaleGlycated HemoglobinHumansMaleMiddle AgedPrimary Health CareSARS-CoV-2Glycated Hemoglobinhemoglobin A1c protein, humanDiabetes MellitusElectronic Health RecordsGlycemic ControlPatient EducationPrimary Health CareTelemedicine

Identifiers

PMID40789632
PMCPMC12616811

What OpenQuestion holds

Textmetadata
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.