Evidence map›Paper›PMID 38601507›Full record

ArticleFrontiers in public health2024

Impact of health literacy and illness perception on medication adherence among older adults with hypertension in Iran: a cross-sectional study.

Towhid Babazadeh, Soheila Ranjbaran, Sara Pourrazavi, Arman Latifi, Khalil Maleki Chollou

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Health Literacy and Treatment Adherence in Older Patients with Hypertension.Research in heart yield and translational medicine · 2025
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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

5 authors.

Towhid BabazadehDepartment of Public Health, Sarab Faculty of Medical Sciences, Sarab, Iran.
Soheila RanjbaranDepartment of Public Health, Sarab Faculty of Medical Sciences, Sarab, Iran.
Sara PourrazaviResearch Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Arman LatifiDepartment of Public Health, School of Public Health, Research Center for Evidence-Based Health Management, Maragheh University of Medical Sciences, Maragheh, Iran.
Khalil Maleki ChollouDepartment of Nursing, Sarab Faculty of Medical Sciences, Sarab, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adherence to medication is an essential factor in controlling and reducing the side effects of non-communicable diseases, particularly hypertension. Medication adherence varies in older adults due to the effects of various factors. The research aimed to examine the determinants of medication adherence among older adults with hypertension. Methods: This cross-sectional study was performed among 300 people aged 60 years or older referring to health centers in Sarab, Iran, between February and May 2023. To collect data, valid and reliable tools were applied. Results: There was a significant association between age groups, level of education, and monthly income status with adherence to medication ( Conclusion: According to the results, demographic variables, illness perception, and HL dimensions were the main determinants of medication adherence among older adults. Health educators should focus on creating interventions that improve medication adherence by addressing illness perception and health literacy dimensions in this particular population.

Indexed as

Health LiteracyHypertensionAgedCross-Sectional StudiesHumansIranMedication AdherencePerceptionadherencehypertensionIranmedicationolder adults

Identifiers

PMID38601507
PMCPMC11004473

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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.