Evidence map›Paper›PMID 26749357›Full record

ReviewPatient education and counseling2016

Automated alerts and reminders targeting patients: A review of the literature.

Seneca Perri-Moore, Seraphine Kapsandoy, Katherine Doyon, Brent Hill, Melissa Archer, Laura Shane-McWhorter, Bruce E Bray, Qing Zeng-Treitler

Abstract readReview
In one paragraph

Review in Patient education and counseling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Trial
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  3. Digital symptom monitoring in cancer care: an exploratory evaluation of low uptake and engagement.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  4. Article
  5. Optimizing participation in digital health studies: understanding appointment attendance.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
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  18. Surgery remember@: an innovation to reduce surgical cancellations.Revista do Colegio Brasileiro de Cirurgioes · 2022
    Article
  19. Article
  20. 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

8 authors.

Seneca Perri-MooreUniversity of Utah, Department of Biomedical Informatics, Salt Lake City, UT, USA. Electronic address: iptsam@gmail.com.
Seraphine KapsandoyIntermountain Healthcare, Salt Lake City, UT, USA.
Katherine DoyonUniversity of Utah, College of Nursing, Salt Lake City, UT, USA.
Brent HillUniversity of Utah, Department of Biomedical Informatics, Salt Lake City, UT, USA.
Melissa ArcherUniversity of Utah, College of Pharmacy, Salt Lake City, UT, USA.
Laura Shane-McWhorterUniversity of Utah, College of Pharmacy, Salt Lake City, UT, USA.
Bruce E BrayUniversity of Utah, Department of Biomedical Informatics, Salt Lake City, UT, USA.
Qing Zeng-TreitlerUniversity of Utah, Department of Biomedical Informatics, Salt Lake City, UT, USA.

Funding

Protect Patient Safety Through Herb-Drug-Disease Interaction Detection and AlertR01AT006548 · NCCIH · UNIVERSITY OF UTAH · PI ZENG, QING · 2012 to 2014
$1.1M
Assist Patients with Medication DecisionsR01LM011334 · NLM · UNIVERSITY OF UTAH · PI ZENG, QING · 2012 to 2014
$919k
NCCIH NIH HHS R01 AT006548NLM NIH HHS R01 LM011334
6 · The paper itself

Abstract

objectiveInformation technology supporting patient self-management has the potential to foster shared accountability for healthcare outcomes by improving patient adherence. There is growing interest in providing alerts and reminders to patients to improve healthcare self-management. This paper describes a literature review of automated alerts and reminders directed to patients, the technology used, and their efficacy.

methodsAn electronic literature search was conducted in PubMed to identify relevant studies. The search produced 2418 abstracts; 175 articles underwent full-text review, of which 124 were rejected. 51 publications were included in the final analysis and coding.

resultsThe articles are partitioned into alerts and reminders. A summary of the analysis for the 51 included articles is provided.

conclusionReminders and alerts are advantageous in many ways; they can be used to reach patients outside of regular clinic settings, be personalized, and there is a minimal age barrier in the efficacy of automated reminders sent to patients. As technologies and patients' proficiencies evolve, the use and dissemination of patient reminders and alerts will also change. PRACTICE IMPLICATIONS: Automated technology may reliably assist patients to adhere to their health regimen, increase attendance rates, supplement discharge instructions, decrease readmission rates, and potentially reduce clinic costs.

Indexed as

Cell PhonePatient-Centered CareReminder SystemsConsumer Health InformationHealth BehaviorHealth CommunicationHumansPatient ComplianceRandomized Controlled Trials as TopicSelf CareText MessagingAutomated alerts and remindersConsumer health informaticsHealth behaviorPatient adherencePatient-centered care

Identifiers

PMID26749357
PMCPMC4912908

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.