Evidence map›Paper›PMID 29887993›Full record

ArticleInternational journal of hypertension2018

A New Lebanese Medication Adherence Scale: Validation in Lebanese Hypertensive Adults.

R Bou Serhal, P Salameh, N Wakim, C Issa, B Kassem, L Abou Jaoude, N Saleh

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Article in International journal of hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

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  18. Evaluation of the Effectiveness of the Mobile Application on Adherence of Patients With Arterial Hypertension.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022
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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

7 authors.

R Bou SerhalDepartment of Epidemiology and biostatistics, Faculty of Public Health, Lebanese University, Fanar, Lebanon.ORCID 0000-0002-1132-5834
P SalamehFaculty of Pharmacy, Lebanese University, Al Hadath, Lebanon.ORCID 0000-0002-4780-0772
N WakimDepartment of Epidemiology and biostatistics, Faculty of Public Health, Lebanese University, Fanar, Lebanon.
C IssaDepartment of Nutrition and Dietetics, Faculty of Public Health, Lebanese University, Fanar, Lebanon.
B KassemDepartment of Epidemiology and biostatistics, Faculty of Public Health, Lebanese University, Fanar, Lebanon.
L Abou JaoudeDepartment of Epidemiology and biostatistics, Faculty of Public Health, Lebanese University, Fanar, Lebanon.
N SalehDepartment of Epidemiology and biostatistics, Faculty of Public Health, Lebanese University, Fanar, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA new Lebanese scale measuring medication adherence considered socioeconomic and cultural factors not taken into account by the eight-item Morisky Medication Adherence Scale (MMAS-8). METHODOLOGY: A cross-sectional study, including 405 patients, was performed in outpatient cardiology clinics of three hospitals in Beirut. Blood pressure was measured, a questionnaire filled, and sodium intake estimated by a urine test. Logistic regression defined predictors of hypertension control and adherence.

results54.9% had controlled hypertension. 82.4% were adherent by the new scale, which showed good internal consistency, adequate questions (KMO coefficient = 0.743), and four factors. It predicted hypertension control (OR = 1.217;

conclusionThis study elaborated a validated, practical, and useful tool measuring adherence to medications in Lebanese hypertensive patients.

Identifiers

PMID29887993
PMCPMC5985068

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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.