Evidence map›Paper›PMID 28850790›Full record

Trial reportThe American journal of managed care2017

Leveraging EHRs for patient engagement: perspectives on tailored program outreach.

Susan D Brown, Christina S Grijalva, Assiamira Ferrara

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of managed care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. The role of acculturation in the accuracy of type 2 diabetes risk perception: National Health and Nutrition Examination Survey 2011-2016.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2024
    Article
  7. Article
  8. Article
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  10. 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

3 authors.

Susan D BrownDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612. E-mail: Susan.D.Brown@kp.org.
Christina S Grijalva
Assiamira Ferrara

Funding

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
Comparative effectiveness of diabetes prevention strategies in women with GDMR01HS019367 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI FERRARA, ASSIAMIRA · 2010 to 2010
$8.5M
Engaging At-Risk Minority Women in Health System Diabetes Prevention ProgramsK01DK099404 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI BROWN, SUSAN DENISE · 2014 to 2017
$643k
AHRQ HHS R01 HS019367NIDDK NIH HHS K01 DK099404NIDDK NIH HHS P30 DK092924NIMHD NIH HHS L60 MD007402
6 · The paper itself

Abstract

objectivesElectronic health records (EHRs) present healthcare delivery systems with scalable, cost-effective opportunities to promote lifestyle programs among patients at high risk for type 2 diabetes, yet little consensus exists on strategies to enhance patient engagement. We explored patient perspectives on program outreach messages containing content tailored to EHR-derived diabetes risk factors-a theory-driven strategy to increase the persuasiveness of health communications. STUDY

designConvergent mixed methods.

methodsWithin an integrated healthcare delivery system, women with a history of gestational diabetes participated in 1 of 6 ethnic-specific focus groups to elicit diverse perspectives and a survey yielding quantitative data to contextualize qualitative responses.

resultsThe sample included 35 participants (80% racial/ethnic minorities; mean age = 36 years). Themes regarding tailored messages centered on diabetes risk communication (opposing attitudes about whether to feature diabetes risk factors), privacy (how and whether patient data should be accessed), authenticity (perceiving messages as personalized vs generically computer generated), and preferences for messages sent by one's personal physician. Trust in the medical profession and perceived risk for diabetes were similar to levels reported in comparable samples.

conclusionsPatient reactions highlight the challenges of leveraging EHRs for tailored messages. Some viewed messages as caring reminders to take preventive action and others raised concerns over intrusiveness. Optimal lifestyle program outreach to improve quality of care for women at high risk for diabetes may require communication from personal physicians, careful development to mitigate concerns over privacy and authenticity, and techniques to counteract the threatening nature of personalized risk communication.

Indexed as

Electronic Health RecordsAdolescentAdultAsianBlack or African AmericanBody Mass IndexCost-Benefit AnalysisDiabetes, GestationalDiabetes Mellitus, Type 2FemaleFocus GroupsHealth EducationHealthy LifestyleHispanic or LatinoHumansMiddle Aged

Identifiers

PMID28850790
PMCPMC6163036

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.