Evidence map›Paper›PMID 33157549›Full record

ArticlePloS one2020

Development and validation of Malaysia Medication Adherence Assessment Tool (MyMAAT) for diabetic patients.

Ernieda Hatah, Nadiah Rahim, Mohd Makmor-Bakry, Noraida Mohamed Shah, Noraini Mohamad, Mahadir Ahmad, Nor Hasni Haron, Choe Sze Hwe, Angeline Tan Meng Wah, Fahmi Hassan and 3 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 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

13 authors at 3 institutions in 1 country.

Ernieda HatahFaculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia.ORCID 0000-0002-6300-2965
Nadiah RahimFaculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia.
Mohd Makmor-BakryFaculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia.
Noraida Mohamed ShahFaculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia.
Noraini MohamadPharmaceutical Care Branch, Pharmacy Practice and Development Division, Pharmaceutical Services Programme, Ministry of Health Malaysia, Jalan Universiti, Petaling Jaya, Selangor, Malaysia.
Mahadir AhmadHealth Psychology Programme, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia.
Nor Hasni HaronPharmaceutical Care Branch, Pharmacy Practice and Development Division, Pharmaceutical Services Programme, Ministry of Health Malaysia, Jalan Universiti, Petaling Jaya, Selangor, Malaysia.
Choe Sze HwePharmaceutical Care Branch, Pharmacy Practice and Development Division, Pharmaceutical Services Programme, Ministry of Health Malaysia, Jalan Universiti, Petaling Jaya, Selangor, Malaysia.
Angeline Tan Meng WahPharmaceutical Care Branch, Pharmacy Practice and Development Division, Pharmaceutical Services Programme, Ministry of Health Malaysia, Jalan Universiti, Petaling Jaya, Selangor, Malaysia.
Fahmi HassanPharmaceutical Care Branch, Pharmacy Practice and Development Division, Pharmaceutical Services Programme, Ministry of Health Malaysia, Jalan Universiti, Petaling Jaya, Selangor, Malaysia.
Shakirin Shaik RahmatPharmaceutical Care Branch, Pharmacy Practice and Development Division, Pharmaceutical Services Programme, Ministry of Health Malaysia, Jalan Universiti, Petaling Jaya, Selangor, Malaysia.
Sarah Ann RobertPharmacy Department, Universiti Kebangsaan Malaysia Medical Center, Jalan Ya'acob Latiff, Bandar Tun Razak, Cheras, Kuala Lumpur, Malaysia.
Noraidatulakma AbdullahUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Ya'acob Latiff, Bandar Tun Razak, Cheras, Kuala Lumpur, Malaysia.
Ministry of Health · MYNational University of Malaysia · MYUniversity Kebangsaan Malaysia Medical Centre · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication non-adherence remains a significant barrier in achieving better health outcomes for patients with chronic diseases. Previous self-reported medication adherence tools were not developed in the context of the Malaysia population. The most commonly used tool, MMAS-8, is no longer economical because it requires a license and currently every form used is charged. Hence, there is a need to develop and validate a new medication adherence tool. The Malaysia Medication Adherence Assessment Tool (MyMAAT) was developed by a multidisciplinary team with expertise in medication adherence and health literacy. The face and content validities of the MyMAAT was established by a panel of experts. A total of 495 patients with type 2 diabetes were recruited from the Ministry of Health facilities consisting of five hospitals and five primary health clinics. A test-retest was conducted on 42 of the patients one week following their first data collection. Exploratory factor analysis was performed to evaluate the validity of the MyMAAT. The final item for MyMAAT was compared with SEAMS, HbA1c%, Medication Possession ratio (MPR) score, and pharmacist's subjective assessment for its hypothesis testing validity. The MyMAAT-12 achieved acceptable internal consistency (Cronbach's alpha = 0.910) and stable reliability as the test-retest score showed good to excellent correlation (Spearman's rho = 0.96, p = 0.001). The MyMAAT has significant moderate association with SEAMS (Spearman's rho = 0.44, p = < 0.001) and significant relationship with HbA1c (< 8% and ≥ 8%) (χ2(1) = 13.4, p < 0.001), MPR (χ2(1) = 13.6, p < 0.001) and pharmacist's subjective assessment categories (χ2(1) = 31, p < 0.001). The sensitivity of MyMAAT-12, tested against HbA1c% was 72.9% while its specificity was 43%. This study demonstrates that the MyMAAT-12 together with other methods of assessment may make a better screening tool to identify patients who were non-adherence to their medications.

Indexed as

Drug MonitoringAgedCost-Benefit AnalysisDiabetes Mellitus, Type 2Factor Analysis, StatisticalFemaleHumansHypoglycemic AgentsMalaysiaMaleMiddle AgedPsychometricsReproducibility of ResultsSelf ReportSurveys and QuestionnairesHypoglycemic Agents

Identifiers

PMID33157549
PMCPMC7647074
OpenAlexW3095972276

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.