Evidence map›Paper›PMID 35132555›Full record

ArticleJournal of general internal medicine2022

Long-Term Effectiveness of the TIME Intervention to Improve Diabetes Outcomes in Low-Income Settings: a 2-Year Follow-Up.

Elizabeth M Vaughan, Evan Johnson, Aanand D Naik, Amber B Amspoker, Ashok Balasubramanyam, Salim S Virani, Christie M Ballantyne, Craig A Johnston, John P Foreyt

3 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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.

NCT04922320 nacompletednot on this map

Effect of Patient Priorities Care Implementation in Older Veterans With Multiple Chronic Conditions

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2022 to 2025Enrolled420ConditionsMultiple Chronic Conditions, Decision Making, SharedArmsPatient Priorities Care, Usual Care
NCT05965869 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Creating Healthy Communities Through a Church-based, Community Health Worker-led Initiative

TypeinterventionalSponsorThe University of Texas Medical Branch, GalvestonRan2023 to 2028Enrolled400ConditionsDiabetes Mellitus, Type 2, Diabetes Mellitus RiskArmsdiabetes program
NCT07538505 nanot yet recruitingnot on this mapstarted 2027, after this paper: background citation

Implementing a Diabetes Intervention in Rural and Low-Income Clinics: A Feasibility Study

TypeinterventionalSponsorThe University of Texas Medical Branch, GalvestonRan2027 to 2031Enrolled200ConditionsType 2 Diabetes MellitusArmsCommunity Health Worker-led diabetes program
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 19 citations in OpenAlex.

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  14. Equity in Medical Care for People Living With Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2022
    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

9 authors at 5 institutions in 1 country.

Elizabeth M VaughanDivision of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine (Baylor), Houston, TX, USA. elizabeth.vaughan@bcm.edu.ORCID 0000-0001-9565-0134
Evan JohnsonSchool of Health Professions, Baylor, Houston, TX, USA.
Aanand D NaikHouston Center for Innovations in Quality, Effectiveness, and Safety (IQuESt), Houston, TX, USA.
Amber B AmspokerHouston Center for Innovations in Quality, Effectiveness, and Safety (IQuESt), Houston, TX, USA.
Ashok BalasubramanyamDivision of Diabetes, Endocrinology and Metabolism, Baylor, Houston, TX, USA.
Salim S ViraniDivision of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine (Baylor), Houston, TX, USA.
Christie M BallantyneDivision of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine (Baylor), Houston, TX, USA.
Craig A JohnstonDepartment of Health and Human Performance, University of Houston, Houston, TX, USA.
John P ForeytDivision of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine (Baylor), Houston, TX, USA.
Baylor College of Medicine · USMichael E. DeBakey VA Medical Center · USBaylor School · USTexas Diabetes & Endocrinology · USUniversity of Houston · US

Funding

Implementing Sustainable Type 2 Diabetes Care: A Hybrid Type 1 RCT to Test a Community Health Worker-Led Evidence-Based InterventionR01DK129474 · NIDDK · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Elizabeth M Vaughan · 2021 to 2026
$4.1M
Technology to improve the health of resource-poor Hispanics with diabetesK23DK110341 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI VAUGHAN, ELIZABETH M · 2017 to 2021
$857k
NIDDK NIH HHS K23 DK110341NIDDK NIH HHS R01 DK129474
6 · The paper itself

Abstract

backgroundWe previously found that a 6-month multidimensional diabetes program, TIME (Telehealth-Supported, Integrated Community Health Workers, Medication-Access) resulted in improved clinical outcomes.

objectiveTo follow TIME participant clinical outcomes for 24 months

participantsLow-income Latino(a)s with type 2 diabetes DESIGN AND

interventionWe collected post-intervention clinical data for five cohorts (n = 101, mean n = 20/cohort) who participated in TIME programs from 2018 to 2020 in Houston, Texas. MAIN MEASURES: We gathered HbA1c (primary outcome), weight, body mass index (BMI), and blood pressure data at baseline, 6 months (intervention end), and semiannually thereafter until 24 months after baseline to assess sustainability. We also evaluated participant loss to follow-up until 24 months. KEY

resultsParticipants decreased HbA1c levels during the intervention (p < 0.0001) and maintained these improvements at each timepoint from baseline to 24 months (p range: < 0.0001 to 0.015). Participants reduced blood pressure levels during TIME and maintained these changes at each timepoint from baseline until 18 months (systolic p range < 0.0001 to 0.0005, diastolic p range: < 0.0001 to 0.008) but not at 24 months (systolic: p = 0.065; diastolic: p = 0.85). There were no significant weight changes during TIME or post-intervention: weight (p range = 0.07 to 0.77), BMI (p range = 0.11 to 0.71). Attrition rates (loss to follow-up during the post-intervention period) were 5.9% (6 months), 24.8% (12 months), 35.6% (18 months), and 41.8% (24 months).

conclusionsIt is possible for vulnerable populations to maintain long-term glycemic and blood pressure improvements using a multiple dimensional intervention. Attrition rates rose over time but show promise given the majority of post-intervention timepoints occurred during the COVID-19 pandemic when low-income populations were most susceptible to suboptimal healthcare access. Future studies are needed to evaluate longitudinal outcomes of diabetes interventions conducted by local clinics rather than research teams.

Indexed as

COVID-19Diabetes Mellitus, Type 2Follow-Up StudiesGlycated HemoglobinHumansPandemicsPovertyGlycated Hemoglobinaccess to carecommunity health worker (CHW)diabetesdisparitiesgroup visits or shared medical appointmentslow-incometelehealth or telemedicine

Identifiers

PMID35132555
PMCPMC8821843
OpenAlexW4210815813

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.