Displaying publications 61 - 80 of 232 in total

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  1. Fulltext Strategies to improve patient loyalty and medication adherence in Syrian healthcare setting: The mediating role of patient satisfaction
    AlOmari F, A Hamid AB
    PLoS One, 2022;17(11):e0272057.
    PMID: 36399483 DOI: 10.1371/journal.pone.0272057
    The purpose of this study is to empirically examine the relationships between service quality, patient satisfaction, patient loyalty and medication adherence in the Syrian healthcare setting from a patient's perspective. Based on random sampling technique, data collection was conducted in six hospitals located in the Syrian capital Damascus. The reliability and validity of the theoretical model had been confirmed using quantitative analyses SmartPLS software. The study indicated that our proposed model can significantly explain (35) per cent of patient satisfaction, (55) per cent of patient loyalty and (46) per cent medication adherence in a statistically manner. Our results highlighted that patient satisfaction mediated the relationship between patient loyalty and service quality (assurance, reliability and financial aspect). Besides, patient satisfaction had mediation effect on the relationship between medication adherence and service quality (reliability and financial aspect). Financial aspect had the highest impact on patient satisfaction (β = 0.242) and medication adherence (β = 0.302). In addition, reliability was the only dimension of service quality that had a significant direct impact on patient satisfaction, patient loyalty and medication adherence. To increase patient loyalty in Syrian hospitals, healthcare professionals should place a greater emphasis on the reliability and responsiveness elements of service quality. To the author's knowledge, this is the first study conducted during the COVID pandemic to evaluate the mediating role of patient satisfaction in the relationship between service quality, patient loyalty and medication adherence in the Syrian healthcare sector.
    Matched MeSH terms: Medication Adherence
  2. Fulltext Report: trends in adherence to secondary prevention medications in post-acute coronary syndrome patients
    Kassab YW, Hassan Y, Aziz NA, Zulkifly HH, Iqbal MS
    Pak J Pharm Sci, 2015 Mar;28(2):641-6.
    PMID: 25730796
    To evaluate patients' adherence to evidence-based therapies at an average of 2 years after discharge for Acute Coronary Syndrome (ACS) and to identify factors associated with non-adherence. This study was conducted at Hospital Pulau Pinang, Malaysia. A random sample of ACS patients (n=190) who had discharged on a regimen of secondary preventive medications were included and followed up over a three follow-up appointments at 8, 16, and 23 months post discharge. At each appointment, patients were interviewed and given Morisky questioner to complete in order to compare their level of adherence to the prescribed regimens across the three consecutive time periods. Majority of patients reported either medium or low adherence across the three time periods with only small portion reported high adherence. Furthermore, there was a significant downward trend in the level of adherence to cardio protective medications during the study period (p<0.001). This study also identified 6 factors-age, gender, employment status, ACS subtype, number of co morbidities and number of prescription medications per day that may influence Patients' adherence to their medications. Our findings suggest that long-term adherence to secondary prevention therapies among patients with ACS in Malaysia is sub optimal and influenced by many demographic, social as well as clinical factors.
    Matched MeSH terms: Medication Adherence*
  3. Fulltext Effects of a pharmaceutical care model on medication adherence and glycemic control of people with type 2 diabetes
    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. Fulltext Medication adherence in schizophrenia: a comparison between outpatients and relapse cases
    Razali SM, Yusoff MZ
    East Asian Arch Psychiatry, 2014 Jun;24(2):68-74.
    PMID: 24986201
    Objective: Adherence to medication is essential for maximising the outcomes of patients with schizophrenia as the consequences of poor adherence are devastating. The study aimed to compare medication adherence between patients with relapse schizophrenia and those attending psychiatric follow-up clinics, and to determine the factors affecting adherence.
    Methods: This was a cross-sectional study involving 70 patients with schizophrenia who were divided equally into 2 groups. Medication adherence was assessed with the Medication Adherence Rating Scale. Appropriate instruments were used to measure insight, social support, and psychopathology. Various socio-demographic and clinical variables were explored to find associations with medication adherence.
    Results: Medication adherence among patients with schizophrenia was poor; 51% of the patients did not adhere to a medication regimen. Adherence was better in outpatients with schizophrenia (61%) than in relapse cases (39%), although the difference was not statistically significant (t = 1.70; p = 0.09). Besides, relapse patients had significant higher number of admission (X2 = 22.95; p < 0.05) and severe psychopathology (t = –29.96; p < 0.05), while perceived social support was significantly better in outpatients with schizophrenia (t = 2.90; p < 0.05). Frequency of admission (adjusted b = –0.55; 95% confidence interval [CI], -0.99 to -0.10; p < 0.05) and psychopathology (adjusted b = –0.12; 95% CI, -0.24 to -0.01; p < 0.05) were also significantly associated with medication adherence.
    Conclusion: Medication adherence among both groups of patients with schizophrenia was poor. If adherence is addressed appropriately, the number of admissions and severity of psychopathology could be improved.
    Key words: Patient compliance; Psychopathology; Schizophrenia; Social support
    Study site: Psychiatric clinic, Hospital Universiti Sains Malaysia (HUSM)
    Matched MeSH terms: Medication Adherence/psychology*
  5. Bounded agency in humanitarian settings: a qualitative study of adherence to antiretroviral therapy among refugees situated in Kenya and Malaysia
    Mendelsohn JB, Rhodes T, Spiegel P, Schilperoord M, Burton JW, Balasundaram S, et al.
    Soc Sci Med, 2014 Nov;120:387-95.
    PMID: 25048975 DOI: 10.1016/j.socscimed.2014.06.010
    HIV-positive refugees confront a variety of challenges in accessing and adhering to antiretroviral therapy (ART) and attaining durable viral suppression; however, there is little understanding of what these challenges are, how they are navigated, or how they may differ across humanitarian settings. We sought to document and examine accounts of the threats, barriers and facilitators experienced in relation to HIV treatment and care and to conduct comparisons across settings. We conducted semi-structured interviews among a purposive sample of 14 refugees attending a public, urban HIV clinic in Kuala Lumpur, Malaysia (July-September 2010), and 12 refugees attending a camp-based HIV clinic in Kakuma, Kenya (February-March 2011). We used framework methods and between-case comparison to analyze and interpret the data, identifying social and environmental factors that influenced adherence. The multiple issues that threatened adherence to antiretroviral therapy or precipitated actual adherence lapses clustered into three themes: "migration", "insecurity", and "resilience". The migration theme included issues related to crossing borders and integrating into treatment systems upon arrival in a host country. Challenges related to crossing borders were reported in both settings, but threats pertaining to integration into, and navigation of, a new health system were exclusive to the Malaysian setting. The insecurity theme included food insecurity, which was most commonly reported in the Kenyan setting; health systems insecurity, reported in both settings; and emotional insecurity, which was most common in the Kenyan setting. Resilient processes were reported in both settings. We drew on the concept of "bounded agency" to argue that, despite evidence of personal and community resilience, these processes were sometimes insufficient for overcoming social and environmental barriers to adherence. In general, interventions might aim to bolster individuals' range of action with targeted support that bolsters resilient processes. Specific interventions are needed to address locally-based food and health system insecurities.
    Matched MeSH terms: Medication Adherence*
  6. Fulltext Medication adherence in patients with type 2 diabetes mellitus treated at primary health clinics in Malaysia
    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*
  7. Health-related quality of life associated with treatment adherence in patients with hypertension: a cross-sectional study
    Zyoud SH, Al-Jabi SW, Sweileh WM, Wildali AH, Saleem HM, Aysa HA, et al.
    Int J Cardiol, 2013 Oct 3;168(3):2981-3.
    PMID: 23647601 DOI: 10.1016/j.ijcard.2013.04.105
    Matched MeSH terms: Medication Adherence/statistics & numerical data*
  8. Medication adherence on quality of life among adults with type 2 diabetes mellitus: an exploratory analysis on the EDDMQoL study
    Chew BH
    Qual Life Res, 2015 Nov;24(11):2723-31.
    PMID: 26001640 DOI: 10.1007/s11136-015-1006-7
    PURPOSE: This study examined the association between medication adherence (MA) and health-related quality of life (HRQoL) among the adult type 2 diabetes mellitus at the primary care level.

    METHODS: In this cross-sectional study, the 8-item Morisky Medication Adherence Scale (MMAS) was the main independent variable and the World Health Organization Quality of Life-Brief the dependent variable. Besides socio-demographic data, diabetes-related distress (DRD) and depression (DS) were included as covariates. Independent association between the MMAS score and HRQoL was done using multiple linear regression.

    RESULTS: The participants' response rate was 93.1 % (700/752). Majorities were female (52.8 %), Malay (52.9 %) and married (79.1 %). The mean (SD) for age and the MMAS score was 56.9 (10.18) and 5.6 (1.42), respectively. MMAS total score correlated significantly with all HRQoL domains: overall QoL (OQoL) (r = 0.17), physical QoL (r = 0.11), psychological QoL (r = 0.10), social relationship QoL (r = 0.15) and environmental QoL (EQoL) (r = 0.18). After adjustment for covariates (age, gender, ethnicity, religion, education, income, exercise, macrovascular complications, DRD and DS), MA had persistent effects on OQoL (B = 0.53, 95 % CI 0.012-1.048) and EQoL (B = 0.95, 95 % CI 0.235-1.667).

    CONCLUSION: MA showed prevalent correlation and positive effects on the domains of HRQoL. Despite the small effects of MA on HRQoL, the sheer presence of the independent effects provides healthcare providers good reason for initiative and intervention to improve MA, which would improve quality of life.

    Matched MeSH terms: Medication Adherence/psychology*
  9. Fulltext Development of a PATIENT-Medication Adherence Instrument (P-MAI) and a HEALTHCARE PROFESSIONAL-Medication Adherence Instrument (H-MAI) using the nominal group technique
    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*
  10. Fulltext The development of an integrated behavioural model of patient compliance with diabetes medication: a mixed-method study protocol
    Swarna Nantha Y, Haque S, Swarna Nantha H
    Fam Pract, 2019 10 08;36(5):581-586.
    PMID: 30534941 DOI: 10.1093/fampra/cmy119
    BACKGROUND: There has been a shift in worldwide disease burden from infections to non-communicable diseases, especially type 2 diabetes (T2D). Behavioural change and self-management are key to optimal T2D control. Several universal models of diabetic care have been proposed to help explain the dimensions of T2D self-care such as medication adherence, physical activity, diet and patient-doctor interaction. These models do not allow an objective and quantifiable measurement of the problems faced by patients in terms of medication compliance.

    OBJECTIVE: To create a comprehensive conceptual model of behavioural change related to T2D medication compliance.

    METHODS: A cross-sectional study will be conducted at a regional primary care clinic using a mixed-method technique. First, a Grounded Theory qualitative inquiry will be used to investigate predictors of medication adherence in T2D patients. Consequently, the elements derived from the interview will be incorporated into the Theory of Planned Behaviour framework to generate an integrated behavioural model. This model will then be used to quantify the factors related to compliance with medication amongst T2D patients.

    DISCUSSION: The framework developed here could help in the design of policies to optimize T2D control by identifying lapses in patients' intake of diabetic medications. This can be done by exploring the patients' fundamental and unarticulated belief system via a naturalistic approach adopted in this study. The properties of the framework can be replicated in other settings to serve as a benchmark for quality improvement in T2D patient care.

    Matched MeSH terms: Medication Adherence*
  11. Fulltext A pharmacy management service for adults with asthma: a cluster randomised controlled trial
    Wong LY, Chua SS, Husin AR, Arshad H
    Fam Pract, 2017 09 01;34(5):564-573.
    PMID: 28472499 DOI: 10.1093/fampra/cmx028
    Background: Although clinical guidelines are available for the management of asthma, this health condition is still poorly managed in many countries.
    Objectives: To assess the effects of a Pharmacy Management Service (PharMS) on asthma control of adult patients.
    Methods: This study comprised of a cluster randomised controlled trial (RCT) that was conducted from April 2014 to July 2015 at four government health clinics. The control participants received usual pharmacy service, while the intervention participants were recruited into the PharMS. Each participant was monitored for 6 months, and the outcome measures included asthma control using the Asthma Control Test (ACT), inhaler technique using a checklist and medication adherence using the Malaysian Medication Adherence Scale.
    Results: A total of 157 participants were recruited: 77 in the control and 80 in the intervention group. At the end of the study, 90% of the intervention participants achieved well-controlled asthma compared to 28.6% in the control group (P < 0.001). The differences in the proportion of participants with correct inhaler technique was also significant, with an adjusted effect size of 0.953 (P < 0.001). In addition, the intervention participants showed significantly higher medication adherence than the control group (92.5% versus 45.5%, P < 0.001). The Generalised Estimated Equation analysis further confirmed that the PharMS (P < 0.001) was significantly related to an improvement in the ACT scores.
    Conclusion: A community-based asthma management program, the PharMS, that provided asthma education and skill training by a trained pharmacist, resulted in positive and significant improvements in clinical and management outcomes of adult asthma patients.
    Matched MeSH terms: Medication Adherence*
  12. Consolidated Medication Review Algorithm to Improve Medications Use in Older Adults: Components, Scoring Scheme, and Implementation
    Thiruchelvam K, Wong PS, Kairuz T, Babar ZU, Hasan SS
    J Am Med Dir Assoc, 2018 08;19(8):717-718.
    PMID: 29680204 DOI: 10.1016/j.jamda.2018.03.007
    Matched MeSH terms: Medication Adherence*
  13. Fulltext Early suboptimal ART adherence was associated with missed clinical visits in HIV-infected patients in Asia
    Jiamsakul A, Kerr SJ, Kiertiburanakul S, Azwa I, Zhang F, Chaiwarith R, et al.
    AIDS Care, 2018 12;30(12):1560-1566.
    PMID: 30021450 DOI: 10.1080/09540121.2018.1499859
    Missed clinic visits can lead to poorer treatment outcomes in HIV-infected patients. Suboptimal antiretroviral therapy (ART) adherence has been linked to subsequent missed visits. Knowing the determinants of missed visits in Asian patients will allow for appropriate counselling and intervention strategies to ensure continuous engagement in care. A missed visit was defined as having no assessments within six months. Repeated measures logistic regression was used to analyse factors associated with missed visits. A total of 7100 patients were included from 12 countries in Asia with 2676 (37.7%) having at least one missed visit. Patients with early suboptimal self-reported adherence <95% were more likely to have a missed visit compared to those with adherence ≥95% (OR = 2.55, 95% CI(1.81-3.61)). Other factors associated with having a missed visit were homosexual (OR = 1.45, 95%CI(1.27-1.66)) and other modes of HIV exposure (OR = 1.48, 95%CI(1.27-1.74)) compared to heterosexual exposure; using PI-based (OR = 1.33, 95%CI(1.15-1.53) and other ART combinations (OR = 1.79, 95%CI(1.39-2.32)) compared to NRTI+NNRTI combinations; and being hepatitis C co-infected (OR = 1.27, 95%CI(1.06-1.52)). Patients aged >30 years (31-40 years OR = 0.81, 95%CI(0.73-0.89); 41-50 years OR = 0.73, 95%CI(0.64-0.83); and >50 years OR = 0.77, 95%CI(0.64-0.93)); female sex (OR = 0.81, 95%CI(0.72-0.90)); and being from upper middle (OR = 0.78, 95%CI(0.70-0.80)) or high-income countries (OR = 0.42, 95%CI(0.35-0.51)), were less likely to have missed visits. Almost 40% of our patients had a missed clinic visit. Early ART adherence was an indicator of subsequent clinic visits. Intensive counselling and adherence support should be provided at ART initiation in order to optimise long-term clinic attendance and maximise treatment outcomes.
    Matched MeSH terms: Medication Adherence*
  14. Compliance and persistence with Alzheimer's disease treatment: a retrospective analysis of multiregional hospital databases in Thailand
    Kongpakwattana K, Dilokthornsakul P, Dejthevaporn C, Pattanaprateep O, Chaiyakunapruk N
    J Med Econ, 2019 Jan;22(1):26-34.
    PMID: 30303420 DOI: 10.1080/13696998.2018.1534739
    Aims: Due to the lack of studies evaluating compliance or persistence with Alzheimer's Disease (AD) treatment outside High-Income Countries (HICs), this study aimed to assess compliance, persistence, and factors associated with non-compliance and non-persistence by utilizing existing "real-world" information from multiregional hospital databases in Thailand.Materials and methods: Study subjects were retrospectively identified from databases of five hospitals located in different regions across Thailand. AD patients aged ≥60 years who were newly-prescribed with donepezil, galantamine, rivastigmine, or memantine between 2013 and 2017 were eligible for analysis. The Medication Possession Ratio (MPR) was used as a proxy for compliance, while the Kaplan-Meier survival analysis was employed to estimate persistence. Logistic and Cox regressions were used to assess determinants of non-compliance and non-persistence, adjusted for age and gender.Results: Among 698 eligible patients, mean (SD) MPR was 0.83 (0.25), with 70.3% of the patients compliant to the treatment (having MPR ≥ 0.80). Half of the patients discontinued their treatment (having a treatment gap >30 days) within 177 days with a 1-year persistence probability of 21.1%. The patients treated in the university-affiliated hospital were more likely to be both non-compliant (OR = 1.71; 95% CI = 1.21-2.42) and non-persistent (HR = 1.33; 95% CI = 1.12-1.58). In addition, non-compliance was higher for those prescribed with single AD treatment (OR = 2.52; 95% CI = 1.35-4.69), while non-persistence was higher for those unable to reimburse for AD treatment (HR = 1.34; 95% CI = 1.11-1.62).Limitations: By using retrospective databases, a difficulty in validating whether the medications are actually taken after being refilled may over-estimate the levels of compliance and persistence. Meanwhile, possible random coding errors may under-estimate the strength of association findings.Conclusions: This study reveals the situation of compliance and persistence on AD treatment for the first time outside HICs. The determinants of non-compliance and non-persistence underline key areas for improvement.
    Matched MeSH terms: Medication Adherence/statistics & numerical data*
  15. Medication adherence and diabetes self-care activities among patients with type 2 diabetes Mellitus
    Jannoo Z, Mamode Khan N
    Value Health Reg Issues, 2019 May;18:30-35.
    PMID: 30419448 DOI: 10.1016/j.vhri.2018.06.003
    BACKGROUND: The prevalence of type 2 diabetes mellitus (T2DM) is increasing at an alarming rate in developing countries. The accompanying complications of T2DM can be reduced by maintaining a good adherence to medication and self-care activities.

    OBJECTIVES: To evaluate medication adherence and self-care behaviors among patients with T2DM.

    METHODS: A total of 497 subjects with T2DM were recruited from three hospitals and a government clinic in the state of Selangor, Malaysia. Previously validated scales were used to measure medication adherence (Morisky Medication Adherence Scale) and diabetes self-care activities (Summary of Diabetes Self-Care Activities). Pearson correlation coefficient was used to investigate the relationship between the risk factors and medication adherence. Pearson χ2 test of association was used to test significant association.

    RESULTS: The mean age of the subjects was 55.5 years. The mean Morisky Medication Adherence Scale score was 5.65 ± 1.97, indicating a moderate adherence level to medication. Among the subjects who had low adherence level, 50.9% were Malays, followed by 34.2% Indians. The Pearson χ2 test of association indicated a significant association (P = 0.000) between ethnicity and medication adherence. The subjects had better self-care behaviors in their general diet (mean 5.04 ± 1.88) and poor self-care behaviors in blood sugar testing (mean 2.13 ± 2.34).

    CONCLUSIONS: The Malaysians had a moderate medication adherence level, whereas they were nonadherent to blood glucose testing. Emphasis on self-care activities and medication adherence is relevant to improve outcomes in the management of T2DM.
    Matched MeSH terms: Medication Adherence/psychology*
  16. Effect of patient characteristics on medication adherence among patients with type 2 diabetes mellitus: a cross-sectional survey
    Abdullah NF, Khuan L, Theng CA, Sowtali SN, Juni MH
    Contemp Nurse, 2019 Feb;55(1):27-37.
    PMID: 30764733 DOI: 10.1080/10376178.2019.1583067
    Background: The prevalence of diabetes mellitus (DM) is steadily increasing worldwide, with a significant DM population in Asian countries. Adherence to medications is important to achieve good glycaemic control among patients with DM. Thus, patients' adherence to their medication regimen should be determined to optimise DM management. Aims: To determine medication adherence and the relationship between patient profile and medication adherence among patients with type 2 DM (T2DM). Design: Cross-sectional survey. Methods: This study was conducted in a public hospital in Selangor, Malaysia, from December 2016 to June 2017. Data was obtained through administration of the Medication Compliance Questionnaire and an electronic medical records database. Multivariate logistic regression analysis was used to determine the predictors of medication adherence. Results: A total of 232 (95.9% response rate) patients participated in this study. The overall percentage of medication adherence among patients with DM was 55.2%. The majority of participants were female (53.4%), Malay (47.0%), aged 41-64 years (55.2%; mean age, 56.69 years), married (84.5%), unemployed (60.8%) and attended secondary school (53.9%). The factors independently associated with adherence were ethnicity (odds ratio [OR], 1.43; 95% confidence interval [CI]: 1.03-1.99) and haemoglobin A1c (HbA1c) level (OR, 2.71; 95% CI: 1.56-4.72). Conclusions: The medication adherence among patients with DM in a public hospital in Selangor, Malaysia was low. A health intervention emphasising patient-centred care is warranted to improve DM patients' adherence to prescribed medication. Considering that Malaysia has a multi-ethnic population, the patients' ethnicity and their HbA1c levels need to be considered in the implementation of any intervention to improve medication adherence. Impact statement: Medication adherence is influenced by individual patients' characteristics. To improve adherence to the medication regimen, nurses should consider patients' profiles.
    Matched MeSH terms: Medication Adherence/psychology*
  17. Fulltext The effectiveness of diabetes medication therapy adherence clinic to improve glycaemic control among patients with type 2 diabetes mellitus: a randomised controlled trial
    Alison C, Anselm S
    Med J Malaysia, 2020 05;75(3):246-253.
    PMID: 32467540
    INTRODUCTION: In Malaysia, Diabetes Medication Therapy Adherence Clinic (DMTAC) in hospital settings significantly improved patients' glycaemic control and cardiovascular risk. Until now no randomised controlled trial of DMTAC has been done in a primary care setting where the access to subspecialist services (endocrinologists, expensive medication, etc.) is limited. The objective of this research is to compare the glycaemic control among diabetes mellitus (DM) patients between those received additional DMTAC service and those received normal clinic service in primary care settings.
    MATERIALS AND METHOD: This was a parallel, randomised controlled study. The selected participants were patients aged 18 to 70 years with type 2 DM on diabetic medication who were being treated in Kota Samarahan Health Clinic with HbA1c above 8% and who never attended any education of DM prior to the study. The control group received normal clinic visits with consultations by a medical officer. The intervention group received four or more DMTAC visits in addition to normal clinic visits. The primary outcomes were HbA1c while the secondary outcomes were the occurrence of severe hypoglycaemia, weight gain and medication compliance of patients. The subjects were randomised by numbered envelope opened chronologically by the investigator during the initial assessment. All health care professionals (nurse, lab staff and medical officer) except DMTAC pharmacist managing the subjects were blinded as there were no markings on the patients notes indicating that they were in this study. The demographic data was collected during screening while health data including glycated haemoglobin (HbA1c) levels were collected at baseline, sixth month and one year.
    RESULTS: In all, 100 patients were randomised into control and intervention groups (n=50 per arm). The change of HbA1c in the intervention group (mean=-1.58) was significantly more than the control group (mean=-0.48) at 12 months with a mean difference of -1.10% (p=0.005, Cohen's d=0.627). Both study groups had similar significant changes of subjects from non-compliance to compliance (control group, n=11 vs. intervention group, n=10). The changes of BMI after 12 months between control group (0.24 kg/m2) and intervention group (0.24 kg/m2) was not significant (p=0.910). There were no episodes of severe hypoglycaemia detected in both groups.
    CONCLUSION: The addition of DMTAC service in primary care can improve glycaemic control among patients. The study was registered in the National Medical Research Register (Malaysia): NMRR-13-1449-18955.
    Study site: Klinik Kesihatan Kota Samarahan, Sarawak, Malaysia
    Matched MeSH terms: Medication Adherence*
  18. Fulltext Reliability and known-group validity of the Arabic version of the 8-item Morisky Medication Adherence Scale among type 2 diabetes mellitus patients
    Ashur ST, Shamsuddin K, Shah SA, Bosseri S, Morisky DE
    East Mediterr Health J, 2015 Dec 13;21(10):722-8.
    PMID: 26750162 DOI: 10.26719/2015.21.10.722
    No validation study has previously been made for the Arabic version of the 8-item Morisky Medication Adherence Scale (MMAS-8(©)) as a measure for medication adherence in diabetes. This study in 2013 tested the reliability and validity of the Arabic MMAS-8 for type 2 diabetes mellitus patients attending a referral centre in Tripoli, Libya. A convenience sample of 103 patients self-completed the questionnaire. Reliability was tested using Cronbach alpha, average inter-item correlation and Spearman-Brown coefficient. Known-group validity was tested by comparing MMAS-8 scores of patients grouped by glycaemic control. The Arabic version showed adequate internal consistency (α = 0.70) and moderate split-half reliability (r = 0.65). Known-group validity was supported as a significant association was found between medication adherence and glycaemic control, with a moderate effect size (ϕc = 0.34). The Arabic version displayed good psychometric properties and could support diabetes research and practice in Arab countries.
    Matched MeSH terms: Medication Adherence*
  19. Fulltext Asthma control and asthma treatment adherence in primary care: results from the prospective, multicentre, non-interventional, observational cohort ASCOPE study in Malaysia
    Mohd Isa NA, Cheng CL, Nasir NH, Naidu V, Gopal VR, Alexander AK
    Med J Malaysia, 2020 07;75(4):331-337.
    PMID: 32723990
    INTRODUCTION: As the first point of contact for those presenting with asthma symptoms, primary healthcare plays a crucial role in asthma management. This is a nationwide study of assessment of asthma symptom control and adherence to asthma medication among outpatients in public health clinics in Malaysia.

    METHODS: This is a prospective, observational multicentre study (ASCOPE; NCT03804632). Data on asthma control, assessment of control symptoms, and adherence to treatment were collected from medical records and interviews of patients. The level of asthma control was assessed using the Global Initiative for Asthma (GINA) Assessment of Symptom Control. Adherence of patient to medication for asthma was assessed through interview of patients using four questions adapted from the Malaysian Medication Adherence Scale.

    RESULTS: Among the 1011 patients recruited, 416 (41%) had well controlled asthma, 388 (38%) were partly controlled, and 207 (21%) had uncontrolled asthma. Majority (81%) had mild asthma and all patients were on asthma medication. Most patients did not have spirometry data (97%) but underwent peak flow rate measurements (98%). Poor adherence occurred at all levels of asthma control but was worst among those with uncontrolled asthma. This was statistically significant across all four questions on adherence (p<0.05). For example, more patients with uncontrolled asthma forgot doses (56%) or stopped treatment (39%) than those with well-controlled asthma (44% and 27%respectively).

    CONCLUSIONS: Among Malaysian primary care patients with asthma, less than 50% had well-controlled asthma, and low adherence to treatment was common. More effort is needed to improve asthma control among patients in Malaysia, including those with mild asthma.
    Matched MeSH terms: Medication Adherence*
  20. Pharmacist-managed medication therapy adherence clinics: The Malaysian experience
    Alrasheedy AA, Hassali MA, Wong ZY, Saleem F
    Res Social Adm Pharm, 2017 02 16;13(4):885-886.
    PMID: 28222951 DOI: 10.1016/j.sapharm.2017.02.011
    Matched MeSH terms: Medication Adherence*
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