Evidence map›Paper›PMID 26835018›Full record

ArticleSAGE open medicine2016

Characteristics of patients with diabetes who accept referrals for care management services.

Bree Holtz, Ann M Annis, Wendy Morrish, Jennifer Davis Burns, Sarah L Krein

Abstract read
In one paragraph

Article in SAGE open medicine, 2016. 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. 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.

Bree HoltzDepartments of Advertising and Public Relations and Media and Information, Michigan State University, East Lansing, MI, USA.
Ann M AnnisVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Wendy MorrishDepartment of Ambulatory Care, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Jennifer Davis BurnsVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Sarah L KreinVA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatients with chronic conditions can improve their health through participation in self-care programs. However, awareness of and enrollment in these programs are generally low.

objectiveWe sought to identify factors influencing patients' receptiveness to a referral for programs and services supporting chronic disease management.

methodsWe analyzed data from 541 high-risk diabetic patients who completed an assessment between 2010 and 2013 from a computer-based, nurse-led Navigator referral program within a large primary care clinic. We compared patients who accepted a referral to those who declined.

resultsA total of 318 patients (75%) accepted 583 referrals, of which 52% were for self-care programs. Patients who accepted a referral had more primary care visits in the previous year, were more likely to be enrolled in another program, expressed more interest in using the phone and family or friends for support, and were more likely to report recent pain than those who declined a referral. DISCUSSION: Understanding what factors influence patients' decisions to consider and participate in self-care programs has important implications for program design and development of strategies to connect patients to programs. This work informs outreach efforts to identify and engage patients who are likely to benefit from self-care activities.

Indexed as

diabetes/endocrinologyNursingprimary care

Identifiers

PMID26835018
PMCPMC4724766

What OpenQuestion holds

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Registered trials

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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.