Evidence map›Paper›PMID 34668669›Full record

ArticleThe American journal of managed care2021

Patient and supporter factors affecting engagement with diabetes telehealth.

Margaret F Zupa, John D Piette, Shelley C Stoll, D Scott Obrosky, Monique Boudreaux-Kelly, Ada O Youk, Luc Overholt, Ranak Trivedi, Michele Heisler, Ann-Marie Rosland

Abstract read
In one paragraph

Article in The American journal of managed care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Margaret F ZupaDepartment of Medicine, University of Pittsburgh, Falk Medical Bldg, 3601 Fifth Ave, Ste 3B, Pittsburgh, PA 15213. Email: zupamf@upmc.edu.
John D Piette
Shelley C Stoll
D Scott Obrosky
Monique Boudreaux-Kelly
Ada O Youk
Luc Overholt
Ranak Trivedi
Michele Heisler
Ann-Marie Rosland

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
T32 Research Training in Diabetes and EndocrinologyT32DK007052 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROBERT M O'DOHERTY · 1986 to 2026
$6.3M
Engaging Veterans and Family Supporters in PACT to Improve Diabetes ManagementI01HX001618 · VA · VETERANS HEALTH ADMINISTRATION · PI ROSLAND, ANN-MARIE · 2015 to 2020
–
HSRD VA I01 HX001618NIDDK NIH HHS P30 DK092926NIDDK NIH HHS T32 DK007052
6 · The paper itself

Abstract

objectivesTo assess what patient, family supporter, and call characteristics predicted whether patients completed automated and coach-provided calls in a telehealth diabetes intervention. STUDY

designA total of 123 adults with type 2 diabetes and high glycated hemoglobin A1c (HbA1c) or blood pressure, enrolled with a family supporter, received automated interactive voice response (IVR) and coach-provided visit preparation calls over 12 months.

methodsData from baseline surveys and diabetes-related clinical information from patient medical records were entered into multilevel, multivariate regression models of associations between participant and call characteristics with call completion.

resultsA total of 76.3% of 2784 IVR calls and 75.8% of 367 visit preparation calls were completed. For IVR calls, patients with recent call-triggered provider alerts had higher odds of call completion (adjusted odds ratio [AOR], 3.5; 95% CI, 2.2-5.5); those with depressive symptoms (AOR, 0.4; 95% CI, 0.2-0.9), higher HbA1c (AOR, 0.8; 95% CI, 0.6-0.99), and more months in the study (AOR, 0.9; 95% CI, 0.87-0.94 per month) had lower odds. For visit preparation calls, higher patient activation scores predicted higher call completion (AOR, 1.4; 95% CI, 1.1-1.9); patient college education predicted less call completion (AOR, 0.3; 95% CI, 0.2-0.6). Supporter help taking medications predicted less completion of both call types. Patient age did not predict call completion.

conclusionsPatients of all ages completed telehealth calls at a high rate. Automated IVR calls were completed more often when urgent issues were identified to patients' providers, but less often if patients had high HbA1c or depression. Visit preparation call content should be tailored to patient education level. Family help with medications may identify patients needing additional support to engage with telehealth.

Indexed as

Diabetes Mellitus, Type 2TelemedicineAdultHumansOdds RatioSurveys and QuestionnairesTelephone

Identifiers

PMID34668669
PMCPMC8717139

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.