Displaying publications 141 - 160 of 232 in total

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  1. Nazir SR, Hassali MA, Saleem F, Bashir S, Aljadhey H
    Pak J Pharm Sci, 2017 Nov;30(6):2159-2165.
    PMID: 29175785
    Patient adherence with a therapeutic regimen predicts successful treatment and reduces the severity of negative complications. The purpose of this work was to find the relationship between general Health Related Quality of Life (HRQoL) and compliance to the treatment among type 2 diabetes mellitus patients (T2DM) in Sargodha, Pakistan. The research was planned as a cross-sectional survey. T2DM patients attending a tertiary care institute in Sargodha, Pakistan were targeted for the study. The Urdu version of the Morisky Medication Adherence Scale (MMAS-Urdu) and EuroQol Quality of Life Scale were employed to evaluate adherence to treatment regimen and HRQoL correspondingly. Descriptive statistics were used for the elaboration of socio-demographic characteristics. The Spearman rank order test was employed to determine the relationship between medicine adherence and HRQoL. P<0.05 was considered statistically significant. A total of 392 patients were selected for the survey. Most participants were males (n=222, 56.6%) with 5.58±4.09 years of history of T2DM. Majority of respondents (n=137, 34.9%) were categorized in age group of 51 to 60 years with mean age of 50.77±9.671 years. The present study highlighted that individuals with type 2 diabetes mellitus had decreased HRQoL (0.4715±0.3360) and poor medication adherence (4.44±1.8). Significant, yet weak positive correlations were observed between medication adherence and HRQoL (r=0.217 and 0.136 for EQ-5D and EQVAS respectively). Although the association between adherence to therapeutic regimen and HRQoL in the present study cohort was significant, it was rated as weak, hence failed in producing an overall impression on quality of life. The study highlights the need of identifying other individual factors affecting HRQoL among T2DM patients in Pakistan.
    Matched MeSH terms: Medication Adherence*
  2. Dua K, Awasthi R, Madan JR, Chellappan DK, Nalluri BN, Gupta G, et al.
    Panminerva Med, 2018 Dec;60(4):238-240.
    PMID: 29480673 DOI: 10.23736/S0031-0808.18.03428-6
    Matched MeSH terms: Medication Adherence
  3. Chung WW, Chua SS, Lai PS, Chan SP
    Patient Prefer Adherence, 2014;8:1185-94.
    PMID: 25214772 DOI: 10.2147/PPA.S66619
    Background: Diabetes mellitus is a lifelong chronic condition that requires self-management. Lifestyle modification and adherence to antidiabetes medications are the major determinants of therapeutic success in the management of diabetes.
    Purpose: To assess the effects of a pharmaceutical care (PC) model on medication adherence and glycemic levels of people with type 2 diabetes mellitus.
    Patients and methods: A total of 241 people with type 2 diabetes were recruited from a major teaching hospital in Malaysia and allocated at random to the control (n=121) or intervention (n=120) groups. Participants in the intervention group received PC from an experienced pharmacist, whereas those in the control group were provided the standard pharmacy service. Medication adherence was assessed using the Malaysian Medication Adherence Scale, and glycemic levels (glycated hemoglobin values and fasting blood glucose [FBG]) of participants were obtained at baseline and after 4, 8, and 12 months.
    Results: At baseline, there were no significant differences in demographic data, medication adherence, and glycemic levels between participants in the control and intervention groups. However, statistically significant differences in FBG and glycated hemoglobin values were observed between the control and intervention groups at months 4, 8, and 12 after the provision of PC (median FBG, 9.0 versus 7.2 mmol/L [P<0.001]; median glycated hemoglobin level, 9.1% versus 8.0% [P0.001] at 12 months). Medication adherence was also significantly associated with the provision of PC, with a higher proportion in the intervention group than in the control group achieving it (75.0% versus 58.7%; P=0.007).
    Conclusion: The provision of PC has positive effects on medication adherence as well as the glycemic control of people with type 2 diabetes. Therefore, the PC model used in this study should be duplicated in other health care settings for the benefit of more patients with type 2 diabetes.
    Keywords: pharmaceutical care, medication adherence, glycemic control, type 2 diabetes mellitus
    Study site: major teaching hospital in Malaysia
    Matched MeSH terms: Medication Adherence*
  4. Chong WW, Aslani P, Chen TF
    Patient Prefer Adherence, 2013;7:813-25.
    PMID: 23986631 DOI: 10.2147/PPA.S48486
    BACKGROUND: Recent studies have shown that pharmacists have a role in addressing antidepressant nonadherence. However, few studies have explored community pharmacists' actual counseling practices in response to antidepressant adherence-related issues at various phases of treatment. The purpose of this study was to evaluate counseling practices of community pharmacists in response to antidepressant adherence-related issues.

    METHODS: A simulated patient method was used to evaluate pharmacist counseling practices in Sydney, Australia. Twenty community pharmacists received three simulated patient visits concerning antidepressant adherence-related scenarios at different phases of treatment: 1) patient receiving a first-time antidepressant prescription and hesitant to begin treatment; 2) patient perceiving lack of treatment efficacy for antidepressant after starting treatment for 2 weeks; and 3) patient wanting to discontinue antidepressant treatment after 3 months due to perceived symptom improvement. The interactions were recorded and analyzed to evaluate the content of consultations in terms of information gathering, information provision including key educational messages, and treatment recommendations.

    RESULTS: There was variability among community pharmacists in terms of the extent and content of information gathered and provided. In scenario 1, while some key educational messages such as possible side effects and expected benefits from antidepressants were mentioned frequently, others such as the recommended length of treatment and adherence-related messages were rarely addressed. In all scenarios, about two thirds of pharmacists explored patients' concerns about antidepressant treatment. In scenarios 2 and 3, only half of all pharmacists' consultations involved questions to assess the patient's medication use. The pharmacists' main recommendation in response to the patient query was to refer the patient back to the prescribing physician.

    CONCLUSION: The majority of pharmacists provided information about the risks and benefits of antidepressant treatment. However, there remains scope for improvement in community pharmacists' counseling practice for patients on antidepressant treatment, particularly in providing key educational messages including adherence-related messages, exploring patients' concerns, and monitoring medication adherence.

    Matched MeSH terms: Medication Adherence
  5. Ahmad NS, Ramli A, Islahudin F, Paraidathathu T
    Patient Prefer Adherence, 2013;7:525-30.
    PMID: 23814461 DOI: 10.2147/PPA.S44698
    Diabetes mellitus is a growing global health problem that affects patients of all ages. Even though diabetes mellitus is recognized as a major chronic illness, adherence to antidiabetic medicines has often been found to be unsatisfactory. This study was conducted to assess adherence to medications and to identify factors that are associated with nonadherence in type 2 diabetes mellitus (T2DM) patients at Primary Health Clinics of the Ministry of Health in Malaysia.
    Matched MeSH terms: Medication Adherence*
  6. Ramli A, Ahmad NS, Paraidathathu T
    Patient Prefer Adherence, 2012;6:613-22.
    PMID: 22969292 DOI: 10.2147/PPA.S34704
    Poor adherence to prescribed medications is a major cause for treatment failure, particularly in chronic diseases such as hypertension. This study was conducted to assess adherence to medications in patients undergoing hypertensive treatment in the Primary Health Clinics of the Ministry of Health in Malaysia. Factors affecting adherence to medications were studied, and the effect of nonadherence to blood pressure control was assessed.
    Matched MeSH terms: Medication Adherence
  7. Aziz H, Hatah E, Makmor Bakry M, Islahudin F
    Patient Prefer Adherence, 2016;10:837-50.
    PMID: 27313448 DOI: 10.2147/PPA.S103057
    BACKGROUND: A previous systematic review reported that increase in patients' medication cost-sharing reduced patients' adherence to medication. However, a study among patients with medication subsidies who received medication at no cost found that medication nonadherence was also high. To our knowledge, no study has evaluated the influence of different medication payment schemes on patients' medication adherence.
    OBJECTIVE: This study aims to review research reporting the influence of payment schemes and their association with patients' medication adherence behavior.
    METHODS: This study was conducted using systematic review of published articles. Relevant published articles were located through three electronic databases Medline, ProQuest Medical Library, and ScienceDirect since inception to February 2015. Included articles were then reviewed and summarized narratively.
    RESULTS: Of the total of 2,683 articles located, 21 were included in the final analysis. There were four types of medication payment schemes reported in the included studies: 1) out-of-pocket expenditure or copayments; 2) drug coverage or insurance benefit; 3) prescription cap; and 4) medication subsidies. Our review found that patients with "lower self-paying constraint" were more likely to adhere to their medication (adherence rate ranged between 28.5% and 94.3%). Surprisingly, the adherence rate among patients who received medication as fully subsidized was similar (rate between 34% and 84.6%) as that of other payment schemes. The studies that evaluated patients with fully subsidized payment scheme found that the medication adherence was poor among patients with nonsevere illness.
    CONCLUSION: Although medication adherence was improved with the reduction of cost-sharing such as lower copayment, higher drug coverage, and prescription cap, patients with full-medication subsidies payment scheme (received medication at no cost) were also found to have poor adherence to their medication. Future studies comparing factors that may influence patients' adherence to medication among patients who received medication subsidies should be done to develop strategies to overcome medication nonadherence.
    KEYWORDS: drug cost; medication adherence; medication payment scheme
    Matched MeSH terms: Medication Adherence
  8. Chew BH, Hassan NH, Mohd Sidik S
    Patient Prefer Adherence, 2015;9:639-48.
    PMID: 25999699 DOI: 10.2147/PPA.S81612
    Medication adherence (MA) in adults with type 2 diabetes mellitus (T2D) is associated with improved disease control (glycated hemoglobin, blood pressure, and lipid profile), lower rates of death and diabetes-related complications, increased quality of life, and decreased health care resource utilization. However, there is a paucity of data on the effect of diabetes-related distress, depression, and health-related quality of life on MA. This study examined factors associated with MA in adults with T2D at the primary care level. This was a cross-sectional study conducted in three Malaysian public health clinics, where adults with T2D were recruited consecutively in 2013. We used the 8-item Morisky Medication Adherence Scale (MMAS-8) to assess MA as the main dependent variable. In addition to sociodemographic data, we included diabetes-related distress, depressive symptoms, and health-related quality of life as independent variables. Independent association between the MMAS-8 score and its determinants was done using generalized linear models with a gamma distribution and log link function. The participant response rate was 93.1% (700/752). The majority were female (52.8%), Malay (52.9%), and married (79.1%). About 43% of patients were classified as showing low MA (MMAS-8 score <6). Higher income (adjusted odds ratio 0.90) and depressive symptoms (adjusted odds ratio 0.99) were significant independent determinants of medication non-adherence in young adults with T2D. Low MA in adults with T2D is a prevalent problem. Thus, primary health care providers in public health clinics should focus on MA counselling for adult T2D patients who are younger, have a higher income, and symptoms of depression.
    Matched MeSH terms: Medication Adherence
  9. Kan E, Mustafa S, Chong WW, Premakumar CM, Mohamed Shah N
    Patient Prefer Adherence, 2020;14:1411-1419.
    PMID: 32848370 DOI: 10.2147/PPA.S255289
    Context: Pain is a common and distressing symptom among cancer patients. Opioid analgesics are the mainstay of cancer pain management, and adequate adherence plays an important role in achieving good pain control.

    Purpose: To determine the level of adherence to opioid analgesics in patients with cancer pain and to identify factors that may influence the adherence.

    Patient and Methods: This was a cross-sectional study conducted from March to June 2018 at two tertiary care hospitals in Malaysia. Study instruments consisted of a set of validated questionnaires; the Medication Compliance Questionnaire, Brief Pain Inventory and Pain Opioid Analgesic Beliefs─Cancer scale.

    Results: A total of 134 patients participated in this study. The patients' adherence scores ranged from 52-100%. Factors with a moderate, statistically significant negative correlation with adherence were negative effect beliefs (rs= -0.53, p<0.001), pain endurance beliefs (rs = -0.49, p<0.001) and the use of aqueous morphine (rs = -0.26, p=0.002). A multiple linear regression model on these predictors resulted in a final model which accounted for 47.0% of the total variance in adherence (R2 = 0.47, F (7, 126) = 15.75, p<0.001). After controlling for other variables, negative effect beliefs were the strongest contributor to the model (β = -0.39, p<0.001) and uniquely explained 12.3% of the total variance.

    Conclusion: The overall adherence to opioid analgesics among Malaysian patients with cancer pain was good. Negative effects beliefs regarding cancer pain and opioids strongly predicted adherence.

    Matched MeSH terms: Medication Adherence
  10. Tan BK, Tan SB, Chen LC, Chang KM, Chua SS, Balashanker S, et al.
    Patient Prefer Adherence, 2017;11:1027-1034.
    PMID: 28652712 DOI: 10.2147/PPA.S132894
    PURPOSE: Poor adherence to tyrosine kinase inhibitors (TKIs) could compromise the control of chronic myeloid leukemia (CML) and contributes to poorer survival. Little is known about how medication-related issues affect CML patients' adherence to TKI therapy in Malaysia. This qualitative study aimed to explore these issues.

    PATIENTS AND METHODS: Individual face-to-face, semistructured interviews were conducted at the hematology outpatient clinics of two medical centers in Malaysia from August 2015 to January 2016. CML patients aged ≥18 years who were prescribed a TKI were invited to participate in the study. Interviews were audio-recorded, transcribed verbatim, and thematically analyzed.

    RESULTS: Four themes were identified from 18 interviews: 1) concerns about adverse reactions to TKIs, 2) personal beliefs regarding the use of TKIs, 3) mismanagement of TKIs in daily lives, and 4) financial burden in accessing treatment. Participants skipped their TKIs due to ineffective emesis control measures and perceived wastage of medication from vomiting. Participants also modified their TKI therapy due to fear of potential harm from long-term use, and stopped taking their TKIs based on belief in curative claims of traditional medicines and misconception about therapeutic effects of TKIs. Difficulty in integrating the dosing requirements of TKIs into daily lives led to unintentional skipping of doses, as well as the risk of toxicities from inappropriate dosing intervals or food interactions. Furthermore, financial constraints also resulted in delayed initiation of TKIs, missed clinic appointments, and treatment interruptions.

    CONCLUSION: Malaysian CML patients encountered a range of medication-related issues leading to a complex pattern of nonadherence to TKI therapy. Further studies should investigate whether regular contact with patients to improve understanding of treatment rationale, to elicit and address patients' concerns about adverse reactions, and to empower patients with skills to self-manage their medications might promote better adherence to TKIs and improve CML patients' outcome.

    Study site: hematology outpatient clinics of Ampang Hospital (AH) and University Malaya Medical Centre (UMMC) in Malaysia
    Matched MeSH terms: Medication Adherence*
  11. Farrukh MJ, Makmor-Bakry M, Hatah E, Tan HJ
    Patient Prefer Adherence, 2018;12:2111-2121.
    PMID: 30349205 DOI: 10.2147/PPA.S179031
    Purpose: To identify the use pattern of complementary and alternative medicine (CAM) and its impact on antiepileptic drug (AED) adherence among patients with epilepsy.

    Method: Potential studies were identified through a systematic search of Scopus, Science Direct, Google Scholar, and PubMed. The keywords used to identify relevant articles were "adherence," "AED," "epilepsy," "non-adherence," and "complementary and alternative medicine." An article was included in the review if the study met the following criteria: 1) conducted in epilepsy patients, 2) conducted in patients aged 18 years and above, 3) conducted in patients prescribed AEDs, and 4) patients' adherence to AEDs.

    Results: A total of 3,330 studies were identified and 30 were included in the final analysis. The review found that the AED non-adherence rate reported in the studies was between 25% and 66%. The percentage of CAM use was found to be between 7.5% and 73.3%. The most common reason for inadequate AED therapy and higher dependence on CAM was the patients' belief that epilepsy had a spiritual or psychological cause, rather than primarily being a disease of the brain. Other factors for AED non-adherence were forgetfulness, specific beliefs about medications, depression, uncontrolled recent seizures, and frequent medication dosage.

    Conclusion: The review found a high prevalence of CAM use and non-adherence to AEDs among epilepsy patients. However, a limited number of studies have investigated the association between CAM usage and AED adherence. Future studies may wish to explore the influence of CAM use on AED medication adherence.

    Matched MeSH terms: Medication Adherence
  12. Appalasamy JR, Joseph JP, Seeta Ramaiah S, Quek KF, Md Zain AZ, Tha KK
    Patient Prefer Adherence, 2019;13:1463-1475.
    PMID: 31695338 DOI: 10.2147/PPA.S215271
    Background and aim: Evidence-based prescribing practices for stroke-preventive medication have benefited stroke survivors; however, medication-nonadherence rates remain high. Medication understanding and use self-efficacy (MUSE) has shown great importance in medication-taking behavior, but its relationship with medication nonadherence in stroke-preventive regimens lacks exploration. The aim of this study was to determine the prevalence of MUSE and its association with nonadherence causes and other potential factors among stroke survivors in Malaysia.

    Methods: This cross-sectional study was conducted among 282 stroke patients who provided informed consent and were in follow-up at the Neurology Outpatient Department of Hospital Kuala Lumpur, Malaysia. The study employed a data-collection form that gathered information on sociodemographics, clinical treatment, outcome measures on MUSE, and medication-nonadherence reasons.

    Results: The prevalence of poor medication understanding and use self-efficacy among stroke patients was 46.5%, of which 29.1% had poor "learning about medication" self-efficacy, while 36.2% lacked self-efficacy in taking medication. Beliefs about medicine (74.02%) was the commonest reason for medication nonadherence, followed by medication-management issues (44.8%). In the multivariate model, independent variables significantly associated with MUSE were health literacy (AOR 0.2, 95% CI 0.069-0.581; P=0.003), medication-management issues (AOR 0.073, 95% CI 0.020-0.266; P<0.001), multiple-medication issues (AOR 0.28, 95% CI 0.085-0.925; P=0.037), beliefs about medicine (AOR 0.131, 95% CI 0.032-0.542; P=0.005), and forgetfulness/convenience issues (AOR 0.173, 95% CI 0.050-0.600; P=0.006).

    Conclusion: The relatively poor learning about medication and medication-taking self-efficacy in this study was highly associated with health literacy and modifiable behavioral issues related to nonadherence, such as medication management, beliefs about medicine, and forgetfulness/convenience. Further research ought to explore these underlying reasons using vigorous techniques to enhance medication understanding and use self-efficacy among stroke survivors to determine cause-effect relationships.

    Matched MeSH terms: Medication Adherence
  13. Ganasegeran K, Rashid A
    Patient Prefer Adherence, 2017;11:1975-1985.
    PMID: 29263654 DOI: 10.2147/PPA.S151053
    Background: Although evidence-based practice has shown the benefits of prescribed cardioprotective drugs in post-myocardial infarction (MI) survivors, adherence rates remain suboptimal. The aim of this study was to determine the prevalence and factors associated with medication nonadherence among post-MI survivors in Malaysia.
    Materials and methods: This cross-sectional study was conducted from February to September 2016 among 242 post-MI survivors aged 24-96 years at the cardiology outpatient clinic in a Malaysian cardiac specialist center. The study utilized an interviewer-administered questionnaire that consisted of items adapted and modified from the validated Simplified Medication Adherence Questionnaire, sociodemographics, health factors, perceived barriers, and novel psychological attributes, which employed the modified Confusion, Hubbub, and Order Scale and the Verbal Denial in Myocardial Infarction questionnaire.
    Results: The prevalence of medication nonadherence was 74%. In the multivariable model, denial of illness (AOR 1.2, 95% CI 0.9-1.8; P=0.032), preference to traditional medicine (AOR 8.7, 95% CI 1.1-31.7; P=0.044), lack of information about illness (AOR 3.3, 95% CI 1.1-10.6; P=0.045), fear of side effects (AOR 6.4, 95% CI 2.5-16.6; P<0.001), and complex regimen (AOR 5.2, 95% CI 1.9-14.2; P=0.001) were statistically significant variables associated with medication nonadherence.
    Conclusion: The relatively higher medication-nonadherence rate in this study was associated with patient-, provider-, and therapy-related factors and the novel psychological attribute denial of illness. Future research should explore these factors using robust methodological techniques to determine temporality among these factors.
    Study site: Cardiology clinic, Serdang Hospital, Selangor, Malaysia
    Matched MeSH terms: Medication Adherence*
  14. Aziz F, Malek S, Mhd Ali A, Wong MS, Mosleh M, Milow P
    PeerJ, 2020;8:e8286.
    PMID: 32206445 DOI: 10.7717/peerj.8286
    Background: This study assesses the feasibility of using machine learning methods such as Random Forests (RF), Artificial Neural Networks (ANN), Support Vector Regression (SVR) and Self-Organizing Feature Maps (SOM) to identify and determine factors associated with hypertensive patients' adherence levels. Hypertension is the medical term for systolic and diastolic blood pressure higher than 140/90 mmHg. A conventional medication adherence scale was used to identify patients' adherence to their prescribed medication. Using machine learning applications to predict precise numeric adherence scores in hypertensive patients has not yet been reported in the literature.

    Methods: Data from 160 hypertensive patients from a tertiary hospital in Kuala Lumpur, Malaysia, were used in this study. Variables were ranked based on their significance to adherence levels using the RF variable importance method. The backward elimination method was then performed using RF to obtain the variables significantly associated with the patients' adherence levels. RF, SVR and ANN models were developed to predict adherence using the identified significant variables. Visualizations of the relationships between hypertensive patients' adherence levels and variables were generated using SOM.

    Result: Machine learning models constructed using the selected variables reported RMSE values of 1.42 for ANN, 1.53 for RF, and 1.55 for SVR. The accuracy of the dichotomised scores, calculated based on a percentage of correctly identified adherence values, was used as an additional model performance measure, resulting in accuracies of 65% (ANN), 78% (RF) and 79% (SVR), respectively. The Wilcoxon signed ranked test reported that there was no significant difference between the predictions of the machine learning models and the actual scores. The significant variables identified from the RF variable importance method were educational level, marital status, General Overuse, monthly income, and Specific Concern.

    Conclusion: This study suggests an effective alternative to conventional methods in identifying the key variables to understand hypertensive patients' adherence levels. This can be used as a tool to educate patients on the importance of medication in managing hypertension.

    Matched MeSH terms: Medication Adherence
  15. Lai PSM, Sellappans R, Chua SS
    Pharmaceut Med, 2020 06;34(3):201-207.
    PMID: 32436200 DOI: 10.1007/s40290-020-00335-y
    BACKGROUND: The English Malaysian Medication Adherence Scale (MALMAS) has been validated for assessing medication adherence of people with type 2 diabetes. However, Malay is the national language of Malaysia.

    OBJECTIVES: The aim of this study was to cross-culturally adapt and validate the Malay MALMAS (M-MALMAS) in Malaysia.

    METHODS: Adults with type 2 diabetes, who could understand Malay, were recruited between May 2016 and February 2017 from a primary care clinic in Kuala Lumpur, Malaysia. The M-MALMAS and the Malay version of the Morisky Medication Adherence Scale (MMAS-8) were administered at baseline to test for convergent validity. Four weeks later, the M-MALMAS was re-administered. Predictive validity of the M-MALMAS was assessed by correlating the medication adherence scores with levels of glycated haemoglobin (HbA1c).

    RESULTS: In total, 100 of 104 people agreed to participate (response rate = 96.2%). The overall Cronbach's α and McDonald's Ω for the M-MALMAS was 0.654 and 0.676, respectively (mean = 0.665). At test-retest, no significant difference was found for all items. The median total score interquartile range (IQR) of the M-MALMAS was 7.0 (6.0-8.0) and this was significantly correlated to the median total score of the Malay MMAS-8 [median (IQR) = 7.0 (5.8-8.0), p 

    Matched MeSH terms: Medication Adherence
  16. Dawood OT, Hassali MA, Saleem F
    Pharm Pract (Granada), 2016 06 15;14(2):740.
    PMID: 27382428 DOI: 10.18549/PharmPract.2016.02.740
    OBJECTIVE: The objective of this study is to explore the pattern and practice of medicine use among the general public; and to explore the key factors influencing medicine use among medicine users.

    METHODS: A qualitative approach using focus group discussions was conducted to get in-depth information about medicines use pattern and practice from the general public. Adult people who reported using medicines at the time of study or in the previous month were approached. Two focus group discussions were audio-recorded and transcribed verbatim. The obtained data were analysed using thematic content analysis.

    RESULTS: This study found that there are some misunderstanding about the appropriate use of medicines. The majority of the participants reported that they were complying with their medication regimen. However, forgetting to take medicines was stated by 4 participants while 2 participants stopped taking medicines when they felt better. In addition, 10 participants reporting using medicines according to their own knowledge and past experience. Whereas 4 participants took medicines according to other informal resources such as family, friends or the media. Seven participants have experienced side effects with using medicines, 4 of them informed their doctor while 3 participants stopped taking medicines without informing their doctor.

    CONCLUSION: There was a misunderstanding about medicines use in terms of medication compliance, self-management of the illness and the resources of information about using medicines. Many efforts are still needed from health care professionals to provide sufficient information about medicines use in order to decrease the risk of inappropriate use of medicines and to achieve better therapeutic outcome.

    Matched MeSH terms: Medication Adherence
  17. Tan CS, Hassali MA, Neoh CF, Saleem F
    Pharm Pract (Granada), 2017 12 18;15(4):1074.
    PMID: 29317924 DOI: 10.18549/PharmPract.2017.04.1074
    Objective: This study aimed to explore hypertensive patients' perspectives on quality use of medication and issues related to hypertension management at the community level in Malaysia.

    Methods: Focus groups discussion was employed in this qualitative study. A total of 17 hypertensive patients were purposively recruited. Three focus group discussions with semi-structured interview were carried out at Flat Desa Wawasan, Penang. All the conversations were audio recorded, transcribed verbatim and thematically analysed.

    Results: Three major themes were developed, including medication adherence among hypertensive patients, self-management of hypertension and patients' knowledge towards hypertension. Poor medication adherence was found and different strategies were taken to overcome the barriers towards adherence. Use of herbal and traditional therapies was perceived as alternative method in controlling blood pressure instead of taking antihypertensive medication. The participants were found to have poor knowledge on side effect and mechanism of action of hypertensive medication.

    Conclusions: The misconception about the side effect of antihypertensive medication has led to poor adherence among the participants. Lack of knowledge on targeted blood pressure level has led to poor blood pressure monitoring among the participants. Health awareness program and counselling from health care professional should be advocated among the hypertensive patients in addressing the above gaps.

    Matched MeSH terms: Medication Adherence
  18. Chung WW, Chua SS, Lai PS, Morisky DE
    PLoS One, 2015;10(4):e0124275.
    PMID: 25909363 DOI: 10.1371/journal.pone.0124275
    Medication non-adherence is a prevalent problem worldwide but up to today, no gold standard is available to assess such behavior. This study was to evaluate the psychometric properties, particularly the concurrent validity of the English version of the Malaysian Medication Adherence Scale (MALMAS) among people with type 2 diabetes in Malaysia. Individuals with type 2 diabetes, aged 21 years and above, using at least one anti-diabetes agent and could communicate in English were recruited. The MALMAS was compared with the 8-item Morisky Medication Adherence Scale (MMAS-8) to assess its convergent validity while concurrent validity was evaluated based on the levels of glycated hemoglobin (HbA1C). Participants answered the MALMAS twice: at baseline and 4 weeks later. The study involved 136 participants. The MALMAS achieved acceptable internal consistency (Cronbach's alpha=0.565) and stable reliability as the test-retest scores showed fair correlation (Spearman's rho=0.412). The MALMAS has good correlation with the MMAS-8 (Spearman's rho=0.715). Participants who were adherent to their anti-diabetes medications had significantly lower median HbA1C values than those who were non-adherence (7.90 versus 8.55%, p=0.032). The odds of participants who were adherent to their medications achieving good glycemic control was 3.36 times (95% confidence interval: 1.09-10.37) of those who were non-adherence. This confirms the concurrent validity of the MALMAS. The sensitivity of the MALMAS was 88.9% while its specificity was 29.6%. The findings of this study further substantiates the reliability and validity of the MALMAS, in particular its concurrent validity and sensitivity for assessing medication adherence of people with type 2 diabetes in Malaysia.
    Matched MeSH terms: Medication Adherence/statistics & numerical data*
  19. Goh SSL, Lai PSM, Liew SM, Tan KM, Chung WW, Chua SS
    PLoS One, 2020;15(11):e0242051.
    PMID: 33175871 DOI: 10.1371/journal.pone.0242051
    To date, several medication adherence instruments have been developed and validated worldwide. However, most instruments have only assessed medication adherence from the patient's perspective. The aim was to develop and validate the PATIENT-Medication Adherence Instrument (P-MAI) and the HEALTHCARE PROFESSIONAL-Medication Adherence Instrument (H-MAI) to assess medication adherence from the patient's and healthcare professional (HCP)'s perspectives. The P-MAI-12 and H-MAI-12 were developed using the nominal group technique. The face and content validity was determined by an expert panel and piloted. The initial version of these instruments consisted of 12 items were validated from October-December 2018 at a primary care clinic in Malaysia. Included were patients aged ≥21 years, diagnosed with diabetes mellitus, taking at least one oral hypoglycaemic agent and who could understand English. The HCPs recruited were family medicine specialists or trainees. To assess validity, exploratory factor analysis (EFA) and concurrent validity were performed; internal consistency and test-retest were performed to assess its reliability. A total of 120/158 patients (response rate = 75.9%) and 30/33 HCPs (response rate = 90.9%) agreed to participate. EFA found three problematic items in both instruments, which was then removed. The final version of the P-MAI-9 and the HMAI-9 had 9 items each with two domains (adherence = 2 items and knowledge/belief = 7 items). For concurrent validity, the total score of the P-MAI-9 and the H-MAI-9 were not significantly different (p = 0.091), indicating that medication adherence assessed from both the patient's and HCP's perspectives were similar. Both instruments achieved acceptable internal consistency (Cronbach's α: P-MAI-9 = 0.722; H-MAI-9 = 0.895). For the P-MAI-9, 7/9 items showed no significant difference between test and retest whereas 8/9 items in the H-MAI-9 showed significant difference at test and retest (p>0.05). In conclusion, the P-MAI-9 and H-MAI-9 had low sensitivity and high specificity suggesting that both instruments can be used for identifying patients more likely to be non-adherent to their medications.
    Matched MeSH terms: Medication Adherence/statistics & numerical data*
  20. Hatah E, Rahim N, Makmor-Bakry M, Mohamed Shah N, Mohamad N, Ahmad M, et al.
    PLoS One, 2020;15(11):e0241909.
    PMID: 33157549 DOI: 10.1371/journal.pone.0241909
    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.
    Matched MeSH terms: Medication Adherence/statistics & numerical data*
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