Evidence map›Paper›PMID 20378619›Full record

ArticleQuality & safety in health care2010

What happens between visits? Adverse and potential adverse events among a low-income, urban, ambulatory population with diabetes.

Urmimala Sarkar, M A Handley, R Gupta, A Tang, E Murphy, H K Seligman, K G Shojania, D Schillinger

Abstract read
In one paragraph

Article in Quality & safety in health care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  5. Patient safety in marginalised groups: a narrative scoping review.International journal for equity in health · 2020
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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

8 authors.

Urmimala SarkarDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, Center for Vulnerable Populations, San Francisco General Hospital, San Francisco, California 94143-1364, USA. usarkar@medicine.ucsf.edu
M A Handley
R Gupta
A Tang
E Murphy
H K Seligman
K G Shojania
D Schillinger

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Improving Survivorship Care for Diverse Cancer Patients Cared for in Safety-net SettingsK24CA212294 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2017 to 2021
$831k
Interactive HIT to Promote Ambulatory Safety among Vulnerable Diabetes PatientsK08HS017594 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2008 to 2012
$685k
Improving Diabetes Efforts Across Language and LiteracyR21HS014864 · AHRQ · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI SCHILLINGER, DEAN · 2004 to 2005
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AHRQ HHS R18 HS01726101AHRQ HHS R21 HS014864NCI NIH HHS K24 CA212294NCRR NIH HHS UL1 RR024131
6 · The paper itself

Abstract

backgroundLittle is known about adverse events (AEs) that occur between physician visits for ambulatory chronic disease patients. An automated telephone self-management support programme for a diverse population of diabetes patients was implemented to capture AEs, describe the self-management domains from which they emanate and explore contributing causes.

methodsAEs and potential AEs (PotAEs) were identified among 111 ethnically diverse diabetes patients. An AE is an injury that results from either medical management or patient self-management; a PotAE is an unsafe state likely to lead to an event if it persists without intervention. Medical record reviews were conducted to ascertain which self-management domain was involved with the event and to explore contributing causes.

resultsAmong the 111 patients, 86% had at least one event detected over the 9-month observation period. 111 AEs and 153 PotAEs were identified. For all events, medication management was the most common domain (166 events, 63%). Only 20% of events reflected a single contributing cause; in the remaining 80%, a combination of system, clinician and patient factors contributed to their occurrence. Patient actions were implicated in 205 (77%) events, systems issues in 183 (69%) events and inadequate physician-patient communication in 155 (59%) events. Aside from communication, primary care clinician actions contributed to the occurrence of the event in only 16 cases (6%).

conclusionsOur findings reveal a complex safety ecology, with multiple contributing causes for AEs and PotAEs among ambulatory diabetes patients. Moreover, patients themselves seem to be key drivers of safety and of AEs, suggesting that patient-level self-management support and patient-centred communication are critical to AE prevention.

Indexed as

Ambulatory CareCommunicationDiabetes Mellitus, Type 2HumansMedication AdherenceOffice VisitsPatient Education as TopicPhysician-Patient RelationsPovertySelf CareTelephoneUrban Population

Identifiers

PMID20378619
PMCPMC12959751

What OpenQuestion 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 OpenQuestion graph.