Evidence map›Paper›PMID 34007710›Full record

ArticleInnovations in pharmacy2018

A Systematic Review of the Effectiveness of Text Message Reminders on Asthma Medication Adherence.

Jenny Dong, Landon Reeves, Askal Ali, Maisha K Freeman, Georges Adunlin

Abstract read
In one paragraph

Article in Innovations in pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 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

4 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. 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.

Jenny DongSamford University McWhorter School of Pharmacy.
Landon ReevesSamford University McWhorter School of Pharmacy.
Askal AliFlorida A&M University College of Pharmacy and Pharmaceutical Sciences.
Maisha K FreemanSamford University McWhorter School of Pharmacy.
Georges AdunlinSamford University McWhorter School of Pharmacy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCell phone text messaging reminders offers the promise of an efficient technology for the management of chronic diseases, such as asthma. This review aims to evaluate the effectiveness of text message reminders in improving medication adherence for asthma compared to usual care.

methodsRandomized controlled trials assessing the effect of text message reminders on adherence to asthma medication were identified from PubMed, Medline, Web of Knowledge EBSCOhost, OvidSP, PsycINFO, and Cochrane Central Register of Controlled Trials and Cochran Health Technology Assessment databases. Literature searches were restricted to the English language, and no restrictions were imposed on the year and country of publication.

resultsFive studies that were deemed relevant to the systematic review were identified from the literature search. Findings on whether text message reminders improve medication adherence were mixed. However, the review indicates that text-messaging interventions were effective as a means of addressing forgetfulness by reminding patients to take their medications.

conclusionThis review adds to the body of literature reviewing the effectiveness of emerging technologies in the management of diseases. Despite the fact there is limited evidence across the population of studies to support the effectiveness of text message reminders, such technology represents an important tool to achieve optimal medication adherence among asthmatics.

Indexed as

asthmamedication adherenceshort message servicesystematic reviewText messaging

Identifiers

PMID34007710
PMCPMC6302753

What OpenQuestion holds

Textmetadata
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.