Evidence map›Paper›PMID 37127692›Full record

ArticleScientific reports2023

Factors predicting medication adherence among Omani patients with chronic diseases through a multicenter cross-sectional study.

Huda Al-Noumani, Maryam Alharrasi, Eilean Rathinasamy Lazarus, Sathiya M Panchatcharam

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Huda Al-NoumaniAdult Health and Critical Care Department, College of Nursing, Sultan Qaboos University, Muscat, Oman.ORCID 0000-0002-8975-3150
Maryam AlharrasiAdult Health and Critical Care Department, College of Nursing, Sultan Qaboos University, Muscat, Oman.ORCID 0000-0002-8168-025X
Eilean Rathinasamy LazarusAdult Health and Critical Care Department, College of Nursing, Sultan Qaboos University, Muscat, Oman. eilean@squ.edu.om.ORCID 0000-0001-5729-3770
Sathiya M PanchatcharamResearch Section, Oman Medical Specialty Board, Muscat, Oman.ORCID 0000-0001-7543-707X
Sultan Qaboos University · OMOman Medical College · OMSultan Qaboos University Hospital · OM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of chronic diseases is complex and requires a long-term commitment to therapeutic medications. However, medication adherence is suboptimal. There is limited understanding of factors predicting medication adherence in chronic diseases in Oman. This study aimed to examine predictors of medication adherence (i.e. patient clinical and demographic data, patient-physician relationship, health literacy, social support) among Omani patients with chronic diseases. This study used a cross-sectional correlation design. Data were collected from 800 participants using convenience sampling between December 2019 and April 2020. Arabic versions of the Brief Health Literacy Screening tool, Multidimensional Scale of Perceived Social Support, Patient-Doctor Relationship Questionnaire, and Adherence in Chronic Disease Scale were used to measure study variables. Descriptive statistics, independent t tests, one-way ANOVA, Pearson correlations, and multivariate linear regression were used for analysis. The study found that factors such as the patient-physician relationship, social support, disease duration, employment status, and medication frequency significantly predicted medication adherence. Medication adherence was higher among those who were unemployed, had a better patient-physician relationship, and greater social support. However, medication adherence was lower with longer disease duration and higher daily medication frequency. Additionally, medication adherence was positively associated with perceived social support and the patient-physician relationship, but not with health literacy. In conclusion, the study reveals that patient characteristics, social support, and patient-physician relationships are key factors in predicting medication adherence in patients with chronic diseases in the Middle East. It emphasizes the importance of improving these aspects, considering factors like employment status, disease duration, and medication frequency, and enhancing healthcare provider-patient relationships and social support systems to boost adherence.

Indexed as

Medication AdherenceSocial SupportChronic DiseaseCross-Sectional StudiesHumansSurveys and Questionnaires

Identifiers

PMID37127692
PMCPMC10151315
OpenAlexW4367597918

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.