Evidence map›Paper›PMID 41146764›Full record

ArticleCureus2025

A Randomized Controlled Trial Studying the Effect of Medication Adherence Tools in Patients With Heart Failure.

Bhupendra Pawar, Pamila Dua, Sandeep Seth, Subir K Maulik, K H Reeta

Abstract read
In one paragraph

Article 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

5 authors.

Bhupendra PawarPharmacology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Pamila DuaPharmacology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Sandeep SethCardiology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Subir K MaulikPharmacology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
K H ReetaPharmacology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Heart failure significantly contributes to the global increase in morbidity and mortality. In managing such chronic conditions, medication adherence plays a critical role in patient outcomes. Given the extensive consequences associated with non-adherence in heart failure, it is crucial to implement focused interventions that support and enhance compliance of patients in taking their prescribed medications. Therefore, this study aims to determine the effect of medication adherence tools (MAT) as an intervention to improve medication adherence and functional capacity in patients with heart failure. Methods In a prospective, open-label, randomized controlled study, 200 patients with heart failure were recruited, with 100 in the control group who received the standard prescribed drugs and 100 in the intervention group who received the intervention in addition to the standard prescribed drugs. A multidrug ABCD drug regimen was used for better understanding and distribution of medicines The four classes of drugs included (A) angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers/angiotensin receptor neprilysin inhibitor, (B) beta-blockers/funny channel blocker (ivabradine), (C) companion drugs (digoxin, hydralazine+isosorbide dinitrate, intravenous iron, statins, oral anticoagulants/antiplatelets, antiarrhythmics, etc.), and (D) diuretics/mineralocorticoid receptor antagonists. The intervention included the ABCD drug regimen as a pharmacological approach, health education, and MAT, such as the Hriday Card, Dhadkan 2 mobile application, and labeled separate zip locks for dispensing the drugs separately as per the ABCD drug regimen. Medication adherence was assessed through the Morisky-Green-Levine (MGL) adherence scale, and quality of life assessment was done using a Likert scale. Further, physical ability was assessed by the capacity to climb floors, ability to do routine household work, and capability to walk 500 m without taking a rest. Results Based on the MGL adherence scale, 42 (21%) patients showed high, 132 (66%) showed medium, and 26 (13%) showed low adherence at baseline, including both the study groups. The reasons for non-adherence were found to be poor memory in 48 (24%), travelling outstation in 42 (21%), ran out of medicines in 32 (16%), adverse effects of medicines in 26 (13%), felt worse while taking medicine in 14 (7%), felt better so stopped taking medicine in 14 (7%), less affordability in six (3%), and other than these reasons in 18 (9%) of the patients. Only 40 (20%) patients demonstrated non-adherence to at least one specific class of medication, with non-adherence being maximum with diuretics. Significant improvement in medication adherence was observed in the intervention group in terms of improvement in the MGL score. There was also a significant improvement in the quality of life and the physical ability in the patients of the intervention group. Conclusion The findings indicate a significant occurrence of medication non-adherence among patients with heart failure within the studied population. Implementing a comprehensive, integrated intervention strategy that includes MAT led to enhanced adherence to the prescribed medications, along with notable improvements in patients' quality of life and physical functioning. Consequently, incorporating MAT as an adjunctive measure could be recommended as an additional step toward improved outcomes in the management of patients with heart failure.

Indexed as

drug complianceheart failuremedication adherencemorisky-green-levine (mgl) scalerandomized controlled trial

Identifiers

PMID41146764
PMCPMC12553968

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.