Evidence map›Paper›PMID 35531090›Full record

ReviewDigital health

Technology-based interventions to improve adherence to antihypertensive medications - An evidence-based review.

Gary Chun-Yun Kang

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Hypertensive patient's journey in Poland.BMC health services research · 2025
    Article
  5. Article
  6. Article
  7. Approach to the Patient: Challenging Cases of Pediatric Thyrotoxicosis.The Journal of clinical endocrinology and metabolism · 2025
    Article
  8. Review
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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

1 author.

Gary Chun-Yun KangSingHealth Polyclinics (SHP), Singapore.ORCID https://orcid.org/0000-0001-6352-4133

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Poor adherence to anti-hypertensive medications leads to poorly controlled blood pressure which is associated with worse cardiovascular outcomes. Emerging technologies may be utilised advantageously in interventions to improve adherence and reduce morbidity and mortality from poorly controlled hypertension. Objective: To determine the efficacy of technology-based interventions in improving adherence to antihypertensive medications. Methods: PubMed and EMBASE databases were searched using keywords and MeSH terms. Included studies met the following criteria: randomized controlled trial (RCT); adults ≥ 18 years old taking anti-hypertensives; intervention delivered by or accessed using a technological device or process; intervention designed to improve adherence. Results: 12 papers met inclusion criteria for the current review: 5 studies significantly improved adherence when compared to usual care; of these 5 studies, 2 had corresponding significant improvement in blood pressure. Successful interventions were: electronic medication bottle cap with audio-visual reminder; short message service (SMS) containing educational information (2 studies); reporting of self-measured blood pressure to a telephone-linked computer system; sending a video of every drug ingestion to obtain monetary rewards. Conclusion: RCTs on technological interventions to improve adherence and those showing significant effect are rare. Some of the interventions show potential to be applied to other populations, especially if targeted at patients with poor adherence at baseline.

Indexed as

hypertensionmedication adherencetechnology

Identifiers

PMID35531090
PMCPMC9069604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.