Evidence map›Paper›PMID 41346887›Full record

ReviewCureus2025

Data-Driven Patient Engagement to Improve Medication Adherence: A Narrative Review of Targeted Outreach Across Health Systems.

Chibuzo O Onah, Augustine C Okoye, Taofeek A Yusuff, Edidiong E Abraham, Mwidy Sava M Mounange-Badimi, Tosin Oladosu, Izuchukwu F Okpalanwaka

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Chibuzo O OnahPublic Health, Georgia State University, Atlanta, USA.
Augustine C OkoyeNursing, Near East University, Nicosia, CYP.
Taofeek A YusuffBusiness Analytics, University of New Haven, West Haven, USA.
Edidiong E AbrahamPharmacy, Texas Southern University, Houston, USA.
Mwidy Sava M Mounange-BadimiArtificial Intelligence and Health Data Science, The University of Texas Health Science Center, Houston, USA.
Tosin OladosuChemistry and Biochemistry, University of Minnesota Duluth, Duluth, USA.
Izuchukwu F OkpalanwakaMedical Oncology, Thomas Jefferson University, Philadelphia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication nonadherence undermines chronic disease control and generates avoidable morbidity, mortality, and costs. Between 2010 and 2020, globally, approximately 27% to 40% of patients prescribed antihypertensive therapy were not adherent; poor adherence was associated with 38% higher hospitalization and mortality risks, while similar patterns held for diabetes and lipid-lowering medicines. This narrative review synthesizes evidence on targeted, data-driven outreach interventions to improve medication adherence. MEDLINE/PubMed, Scopus, and Web of Science were searched for English-language studies (2000-2025, with emphasis on 2019-2025) involving adults or adolescents with measured adherence outcomes (proportion of days covered (PDC), medication possession ratio (MPR), or persistence). Priority was given to randomized trials, economic evaluations, and implementation reports. Interventions varied from low-cost SMS or interactive voice responses to app-based platforms, clinics led by pharmacists, and appointment-based models or medication synchronization (ABM). We identified strategies that reliably improved the PDC or MPR, assessed feasibility across settings, and highlighted equity, privacy, and sustainability considerations. Risk-stratification models demonstrated moderate predictive performance; two-way messaging and pharmacist integration provided consistent benefits that depended on the context, while one-way reminders produced varied effects. Cost‑effectiveness was generally favorable for digital outreach but underreported in low‑ and middle‑income countries. Fairness audits, governance safeguards, and ethical data use remain essential.

Indexed as

health economicsmedication adherence strategiesmedication synchronizationrisk stratificationtargeted outreach

Identifiers

PMID41346887
PMCPMC12672954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.