Evidence map›Paper›PMID 37994348›Full record

ArticlePediatrics and neonatal nursing : open journal2022

Can Automated Text Messaging Successfully Monitor Antibiotic Adherence for Urban Adolescents and Young Women Managed for Pelvic Inflammatory Disease in the Outpatient Setting.

Bria Rice, Jamie Perin, Steven Huettner, Arlene Butz, Hasiya E Yusuf, Maria Trent

Abstract read
In one paragraph

Article in Pediatrics and neonatal nursing : open journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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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

6 authors.

Bria RiceDepartment of Internal Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Jamie PerinDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Steven HuettnerDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Arlene ButzDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Hasiya E YusufDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Maria TrentDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.

Funding

Technology Enhanced Community Health Nursing to Reduce Recurrent STIs after PIDR01NR013507 · NINR · JOHNS HOPKINS UNIVERSITY · PI TRENT, MARIA E. · 2012 to 2023
$5.2M
NINR NIH HHS R01 NR013507
6 · The paper itself

Abstract

Objective: This study evaluates patient responsiveness to an automated text messaging system for pelvic inflammatory disease (PID) self-care support, and measures the reliability of text-reported adherence. Design: Patients aged 13-25-years with mild to moderate PID were recruited from urban, academic outpatient settings. Enrolled patients received antibiotics and were randomized into a standard of care or intervention group. During a 14-day treatment period, participants in the intervention arm received a community-based nursing visit and daily text message medication reminders with evening prompts to report the number of doses taken. Result: Of the 97 participants randomized into the intervention arm, 91 (94%) were eligible for analysis. Most were African American and low income, with a mean age of 18.3 (SD=2.2) years. Participants responded to ~53% (SD=34%) of all dosage inquiry messages. Responsiveness attenuated at approximately 2.2% per day over the treatment period. Ninety-three percent (n=85) of the analyzed intervention arm returned for the two-week follow-up. Despite overall adherence and general responsiveness, text-reported and self-reported medication adherence were not well correlated (r=0.37, Conclusion: Our findings show that text messaging is a feasible strategy for reaching urban adolescents being managed for complicated sexually transmitted infections in outpatient settings. However, patient responsiveness to self-care text messages do vary, limiting the adherence monitoring capacity of this technology. Given the number of unanswered text messages and incomplete text-reported adherence data, additional measures to assess adolescents' adherence to PID medications are needed in clinical trials.

Indexed as

AdolescentsCommunity health nursingOutpatientPelvic inflammatory diseaseSexually transmitted infectionsText messaging

Identifiers

PMID37994348
PMCPMC10664842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.