Evidence map›Paper›PMID 30729403›Full record

ArticleDaru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences2019

Using the transtheoretical model's stages of change to predict medication adherence in patients with type 2 diabetes mellitus in a primary health care setting.

Yara Arafat, Mohamed Izham Mohamed Ibrahim, Ahmed Awaisu, Stephen Colagiuri, Yaw Owusu, Donald E Morisky, Mudather AlHafiz, Ahmed Yousif

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Article in Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

8 authors.

Yara ArafatClinical Pharmacy and Practice Section, College of Pharmacy, Qatar University, PO Box 2713, Doha, Qatar.
Mohamed Izham Mohamed IbrahimClinical Pharmacy and Practice Section, College of Pharmacy, Qatar University, PO Box 2713, Doha, Qatar. mohamedizham@qu.edu.qa.ORCID http://orcid.org/0000-0001-9757-3574
Ahmed AwaisuClinical Pharmacy and Practice Section, College of Pharmacy, Qatar University, PO Box 2713, Doha, Qatar.
Stephen ColagiuriBoden Institute, University of Sydney, Sydney, NSW, Australia.
Yaw OwusuClinical Pharmacy and Practice Section, College of Pharmacy, Qatar University, PO Box 2713, Doha, Qatar.
Donald E MoriskyDepartment of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Mudather AlHafizPharmacy Department, Mesaimeer Healthcare Center, Doha, Qatar.
Ahmed YousifPharmacy Department, Westbay Healthcare Center, Doha, Qatar.

Funding

Qatar University QUUG-CPH-CPH-14/15-5
6 · The paper itself

Abstract

backgroundQatar is currently experiencing a worrying increase in the prevalence of diabetes mellitus (DM). One of the most common reasons for uncontrolled DM is non-adherence to medications. The socio-behavioral intervention has proven effective in some chronic illnesses.

objectivesTo assess the stages of change (SOC) and medication adherence scores of type 2 diabetes mellitus (T2DM) patients visiting primary healthcare institutions in Qatar, and to evaluate the cause and effect relationship between SOC and adherence to antidiabetic medications.

methodsThe 8-item Morisky Medication Adherence Scale (MMAS-8) was used to assess medication adherence, and a 2-item SOC questionnaire was utilized to classify the SOC. The analysis to determine if the SOC could predict medication adherence while controlling for demographic characteristics, total number of prescribed medications and disease duration was done using hierarchical multiple regression.

resultsThe final analysis included 387 patients. In relation to medication adherence, majority of the patients were in the maintenance stage (76.7%), followed by the preparation stage (14.7%), the action stage (3.9%), the contemplation stage (3.4%) and the precontemplation stage (1.3%). Most of the patients were in high adherence towards antidiabetic medications (50.3%) followed by low level (26.4%) and medium level (23.3%). SOC was significant and positively predicted medication adherence, which accounted for around 58 to 60% (p < 0.001) while controlling for covariates.

conclusionsSOC was significant and positively predicted medication adherence. The study recommends that the SOC questionnaire could potentially be used to identify patients at risk for low adherence.

Indexed as

Drug MonitoringAgedAge DistributionCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsMaleMiddle AgedModels, TheoreticalPrimary Health CareProspective StudiesQatarSurveys and QuestionnairesHypoglycemic AgentsDiabetes mellitusMedication adherencePrimary careStages of changeTranstheoretical model

Identifiers

PMID30729403
PMCPMC6593032

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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.