Evidence map›Paper›PMID 23759391›Full record

Trial reportJournal of diabetes science and technology2013

Safety events during an automated telephone self-management support intervention.

Courtney R Lyles, Dean Schillinger, Andrea Lopez, Margaret Handley, Neda Ratanawongsa, Urmimala Sarkar

Abstract readClinical Trial
In one paragraph

Trial report in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Observational
  6. 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

6 authors.

Courtney R LylesDivision of General Internal Medicine at San Francisco General Hospital, Center for Vulnerable Populations, University of California-San Francisco, CA 94110, USA.
Dean Schillinger
Andrea Lopez
Margaret Handley
Neda Ratanawongsa
Urmimala Sarkar

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Harnessing Health IT for Self-Management Support and Medication Activation in a MR18HS017261 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHILLINGER, DEAN · 2007 to 2009
$1.1M
Interactive HIT to Promote Ambulatory Safety among Vulnerable Diabetes PatientsK08HS017594 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2008 to 2012
$685k
Implementation Outcomes of a Health IT Program For Vulnerable Diabetes PatientsR03HS020684 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HANDLEY, MARGARET ANNE · 2011 to 2011
$100k
AHRQ HHS 1R03HS020684-01AHRQ HHS K08 HS017594AHRQ HHS R18HS017261NCRR NIH HHS UL1 RR024131NIDDK NIH HHS 1P30DK092924-01
6 · The paper itself

Abstract

backgroundInteractive health information technology (HIT) can support the complex self-management tasks for diabetes. However, less is known about between-visit interactions and patient safety among chronic illness patients treated in the outpatient setting.

methodsWe classified 13 categories for safety events and potential safety events within a larger trial evaluating a multilingual automated telephone self-management support system for diabetes using interactive voice response. Participants could trigger safety concerns by reporting hyperglycemia or hypoglycemia, inability to obtain medications, medication nonadherence and side effects, and needing appointments and/or supplies. We then examined these triggers across patient demographic and health characteristics to determine which patients were most likely to experience safety events.

resultsOverall, there were 360 safety triggers that occurred among 155 participants, which represented 53% of individuals and 7.6% of all automated calls over the 27-week intervention. The most common triggers were for pain or medication side effects (22%) and not checking blood sugars (13%). In adjusted models, race/ethnicity and language were related to safety triggers; Spanish-speaking participants were significantly (p = .02) more likely than English-speaking participants to experience a safety trigger, and black participants were marginally more likely (p = .09) than white participants to experience a safety trigger.

conclusionAbout half of patients enrolled in a self-management technology intervention triggered at least one potential safety event over the course of the trial, and this was more frequent among some patients. Systems implementing HIT strategies to improve self-care and remote monitoring should consider specific program design elements to address these potential safety events.

Indexed as

Diabetes ComplicationsDiabetes Mellitus, Type 2FemaleHumansHyperglycemiaHypoglycemiaMaleMiddle AgedPatient SafetySelf CareTelemedicineTelephone

Identifiers

PMID23759391
PMCPMC3869126

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.