Predictors Of Medication Adherence Research Articles

Assessment of Alternative Medicine Use, Costs, and Predictors of Medication Adherence among Diabetes Mellitus Patients in Palestine.

Diabetes Mellitus (DM) is considered the fourth leading cause of death in Palestine, with a prevalence of 9.1% in patients aged 20-79 years, and is predicted to increase to 20.6% by 2020. This study aims to estimate DM costs, compare DM total health care cost among patient characteristics and DM management (e.g. Anti-diabetic medications and alternative medicine), as well as assess MA and its predictors including patient characteristics, DM management, alternative medicine use, and DM costs. A cross-sectional study was conducted for the past one year among 479 diabetic patients, selected by convenience sampling and snowball sampling methods via electronic post of an online questionnaire including a web link to the questionnaire page in a Google Form via email or public social media pages and applications. Data on patients' socio-demographic and clinical characteristics, medication profile, use of medicinal plants as alternative medicine, costs, and Medication Adherence (MA) were collected. The Statistical Package for Social Sciences (SPSS v. 25) was used to perform a descriptive, Kolmogorov-Smirnov test, univariate analysis, Mann-Whitney or Kruskal-Wallis test, multiple linear regression, binary logistic regression, and multiple logistic regression analysis. A P value < 0.05 was considered statistically significant. More than half of the participants were male and living in villages (50.7%, 59.1%, respectively). Approximately 51.4% received Oral Hypoglycemic Drugs (OHDs) and only 16.1% received insulin. The participants receiving ≤3 medications daily acquired the highest percentage (55.7%), and less than half received medicinal plants as an alternative medicine for the management of DM. The estimated total DM health care cost per 1 year incurred by patients and family members was Israeli Shekel 988,276 (US Dollar 307,590). More than half of the participants were considered adherent with the Eight-Item Morisky Medication Adherence Scale (MMAS-8) score ≥6. It is noteworthy that the use of alternative medicine was significantly associated with total health care cost and MA. Furthermore, DM duration was significantly associated with MA. These are results worth taking into consideration. This study reflects the need for strengthening the patient-health care professionals' relationship, and to enhance the role of preventive education, and the importance of awareness about MA, DSCMBs, and the use of alternative medicine based on evidence-based strategies to improve MA, glycemic control, meanwhile reducing the costs incurred by patients and family members.

Medication adherence in kidney transplant recipients: A cross-sectional study from a nursing clinical practice perspective

Medication non-adherence is implicated as one of the major causes of early and late kidney transplant rejection. The present study aimed to evaluate medication adherence in kidney transplant recipients. The study design was cross-sectional and descriptive. The sample was 144 kidney transplant patients, and sampling was by convenience. The researchers collected data using a three-part questionnaire, including demographic characteristics, clinical features, and simplified medication adherence questionnaire (SMAQ). Findings suggest that medication adherence in participants was at the desired level (94.4%; 95% CI: 89.8-97.3; P&lt;0.001) and the number of hospitalizations was a predictor of medication adherence in kidney transplant recipients (95% CI: 0.236-1.009; OR:0.488; P=0.053). The mean serum levels of Tacrolimus, Sirolimus, Cyclosporine, and Everolimus in kidney transplant recipients were 8.22 (SD=4.75), 59.66 (SD=82.71), 138.25 (SD=74.99), and 5.7, respectively. Glomerular filtration rate and serum levels of Tacrolimus and Cyclosporine were higher in patients with appropriate medication adherence than those with poor medication adherence (P&gt;0.05). With the increasing number of hospitalizations, medication adherence in these patients decreased. Overall, the medication adherence in kidney transplant recipients at the Kidney Transplantation Referral Center was at the desired level. Therefore, medicating related training programs are a promising approach to improve the quality of life in kidney transplant recipients and potentially reduce the incidence of transplant rejections among kidney transplant patients.

The analysis of factors affecting medication adherence in patients with myasthenia gravis: a cross-sectional study.

Clinically, patients with myasthenia gravis are generally treated with drugs to improve their physical condition, and poor medication adherence can hinder their recovery. Many studies have shown the importance of medication adherence for effective treatment. Various factors may affect a patient's medication adherence; however, studies concerning medication adherence in patients with myasthenia gravis are rare. This study aimed to identify the factors related to medication adherence in patients with myasthenia gravis, and determine the possibility of predicting medication adherence. This cross-sectional observational study was conducted among inpatients and outpatients with myasthenia gravis of the First Affiliated Hospital of Guangzhou University of Chinese Medicine in China. Data on patient demographics, disease-related characteristics, and medical treatment were collected. We evaluated medication adherence of the patients using the Morisky Medication Adherence Scale-8, Beliefs about Medicines Questionnaire, and the Self-efficacy for Appropriate Medication Use Scale. We distributed 200 questionnaires and finally retrieved 198 valid questionnaires. A total of 139 (70.2%) women participated in this study, and 81 (40.9%) among the 198 participants were aged 40-59 years. In total, 103 (52.0%) participants exhibited bad adherence to pharmacological treatment, and factors such as taking medication irregularly [odds ratio (OR) = 0.242, 95% CI = 0.093-0.627], the necessity of taking medicine (OR = 1.286, 95% CI = 1.142-1.449), the concerns of taking medicine (OR = 0.890, 95% CI = 0.801-0.988), and the self-efficacy for taking medications under difficult circumstances (OR = 1.194, 95% CI = 1.026-1.389) had statistically significant impacts on medication adherence. Our study shows that taking medication irregularly and concerns of taking medicine are the risk factors for medication adherence. Meanwhile, the necessity of talking medicine and self-efficacy for taking medications under difficult circumstances are the protective factors for medication adherence. Our findings can help medical staff to enhance patients' medication adherence by informing patients necessary medical knowledge, emphasizing the necessity for medication, relieving patients' concerns regarding medication, and improving the self-efficacy for taking medications under difficult circumstances.

Initial attitudes toward a drug predict medication adherence in first-episode patients with schizophrenia: a 1-year prospective study in China

BackgroundPatients’ attitudes toward medication have been shown to be a predictor of nonadherence to antipsychotic treatment. However, most previous studies that explored this relationship used a cross-sectional design. It is important to explore the association of attitudes toward drugs with discontinuation at different time points during antipsychotic treatment. In this study, we investigated the association of attitudes toward drugs (measured by the Drug Attitude Inventory (DAI-10)) with adherence at seven time points (baseline, 4 weeks, 8 weeks, 12 weeks, 26 weeks, 39 weeks, and 52 weeks) during 1 year of treatment. Factors that were potentially associated with attitudes toward drugs at the time point of interest were also studied.MethodsDemographic characteristics, psychopathology, social functioning, and attitudes toward drugs (measured by the DAI-10) were collected at baseline, 4 weeks, 8 weeks, 12 weeks, 26 weeks, 39 weeks and 52 weeks. The association of attitudes toward drugs (measured by DAI-10) with adherence at the seven time points was calculated using the Mann‒Whitney U test. The optimal cutoff point for the DAI-10 was then determined using receiver operating characteristic (ROC) analysis. Cox regression analysis was conducted to further investigate the association of DAI-10 scores with discontinuation, controlling for potential confounding variables. We used multiple regression analysis to identify the factors associated with DAI-10 scores.ResultsAmong the six time points, only baseline DAI-10 total scores were significantly different between the completed and discontinued groups (p = 0.004). Female sex and a baseline DAI-10 total score greater than − 1 were found to be independent protective factors against discontinuation of antipsychotic drug treatments during the 1-year follow-up. At baseline, the severity of the disease (CGI-s) and insight regarding the disease were shown to be associated with DAI-10 total scores.ConclusionAttitudes toward antipsychotic drugs at baseline were shown to play a crucial role in predicting treatment discontinuation.Trial registrationThe data were collected from a clinical trial and the clinical trials.gov ID of the study is NCT01057849.

Cohort profile: a large EHR-based cohort with linked pharmacy refill and neighbourhood social determinants of health data to assess heart failure medication adherence

PurposeClinic-based or community-based interventions can improve adherence to guideline-directed medication therapies (GDMTs) among patients with heart failure (HF). However, opportunities for such interventions are frequently missed, as providers may be...

Effect of Negative Automatic Thoughts on Medication Adherence in Individuals With Schizophrenia

This study aimed to determine the effect of negative automatic thoughts on medication adherence in individuals with schizophrenia. This was a cross-sectional study carried out in a community mental health center between October 2022 and December 2022. The study included 102 individuals with schizophrenia. Data was collected using the Descriptive Characteristics Form, Negative Automatic Thoughts Questionnaire (NAT-Q), and Morisky Medication Adherence Scale (MMAS). The individuals' total mean NAT-Q score was 106.34 ± 27.32. There was a strong negative correlation between NAT-Q and MMAS scores ( r = −0.822, P &lt; 0.05). The study found that negative automatic thoughts predicted medication adherence by 67%. The negative automatic thoughts of the individuals were high and the medication adherence of half of the individuals was low. It was determined that the level of negative automatic thoughts of individuals with schizophrenia may negatively affect their medication adherence. [ Psychiatr Ann . 2023;53(11):518–524.]

The impact of trust in healthcare and medication, and beliefs about medication on medication adherence in a Dutch medication-using population

IntroductionTrust in healthcare and medication, defined as feelings of reassurance and confidence in the healthcare system or medication, may be a key prerequisite before engaging in the use of medication. However, earlier studies have focussed on beliefs about medication rather than trust as predictors of medication adherence. This study therefore aims to simultaneously explore the relationship of trust in healthcare, medication and beliefs about medication, with medication adherence. MethodsIn a cross-sectional study, an online questionnaire was sent out to 1500 members of the Dutch Health Care Consumer Panel of Nivel in November 2018. Respondents were asked to grade their level of trust in healthcare and medication (scale 1–10). The Beliefs About Medicines Questionnaire (BMQ) for general and specific medication beliefs was used to address beliefs, the Medication Adherence Report Scale (MARS-5) to measure medication adherence. Data were analysed using structural equation modelling (SEM) with a backward stepwise approach. Out of 753 people that completed the questionnaire, 407 people used prescription medication and were included in the analyses. ResultsA positive association between trust in medication and medication adherence was found (0.044, p < 0.05). BMQ subscales Overuse (−0.083, p < 0.05), Necessity (0.075, p < 0.05) and Concerns (−0.134, p < 0.01) related with medication adherence. BMQ subscale Harm did not relate to medication adherence. ConclusionTrust in medication and beliefs about medication were both individually associated with medication adherence. Healthcare providers should therefore not only focus on patients' medication beliefs, but also on strengthening patients' trust in medication to improve medication adherence.

Cross-sectional analysis of factors associated with medication adherence in western Kenya

ObjectivesPoor medication adherence in low-income and middle-income countries is a major cause of suboptimal hypertension and diabetes control. We aimed to identify key factors associated with medication adherence in western...

Factors predicting medication adherence among coronary artery disease patients in Saudi Arabia: A descriptive study.

To measure medication adherence among coronary artery disease (CAD) patients and identify sociodemographic factors that are medication adherence predictors. A cross-sectional correlation design was carried out, following the STROBE guidelines. The study was carried out in a specialized cardiac center in the western region of Saudi Arabia between March 2019 and January 2020. A total of 278 patients completed the study survey. The majority of participants (59.4%) reported moderate medication adherence, and the remainder reported poor (30.6%) and good (10%) medication adherence. It was found that women patients, patients with higher education levels, non-smokers, patients who regularly followed-up with their cardiologist, and patients with family support showed significantly higher medication adherence. Four of the sociodemographic variables (gender, number of doctor visits, family support, and education level) predicted medication adherence. Approximately 30% of the participants reported poor medication adherence. The number of cardiologist visits and the level of family support were 2 of the factors found to be associated with medication adherence.

Predictors of Medication Adherence in Patients with Type 2 Diabetes: A Cross-Sectional Study

Predictors of Medication Adherence in Patients with Type 2 Diabetes: A Cross-Sectional Study

Examining the relationship between depression and medication adherence among elderlies suffering from cardiovascular disease referring to the clinics affiliated with Kermanshah Universityof Medical Sciences: A cross-sectional study.

In recent years, around 30% of all mortalities worldwide has been related to cardiovascular disease (CVD).The most important predictor solution of cardiovascular events is enhancing medication adherence. Meanwhile, the main reason behind development of physical disorders among the elderlyis depression. In this regard, the present research was performed to determine the relationship between depression and medication adherence among the elderlysuffering from CVD. A cross-sectional study was done via an analytical approach on 188 elderlies fulfilling the inclusion criteria. The participants were chosen through convenience nonrandomized sampling from March to July 2022. The data were collected through demographic and healthcare information form plus Madanloo chronic disease medication adherence and geriatric depression scale. The analysis of the data was done by SPSS 26 plus Stata 14.2. The mean depression score was 5.6(4.3) and the mean score of medication adherence in the elderlies was 168.03(23.85). The prevalence of depression was higher in women than in men (p = 0.015), and the elderlies differing from heart failure reported the minimum extent of medication adherence. The findings obtained from analysis of variance showed that age, level of education, and monthly level of income were among the effective demographic factors in the extent of depression and medication adherence (p < 0.05). Meanwhile, 26% of changes in medication adherence can be attributed to depression. Further, the results of the multiple linear regression model reported that depression, age, and polypharmacy are among the predictors of medication adherence. A weak to moderate relationship existed between depression and medication adherence among these elderlies. Given the growing elderly population, the importanceof depression, and lack of medication adherence in incidence of CVD events, it is recommended to train the healthcare team tomonitorthe elderlyregarding depression symptoms.

Comparison of clopidogrel vs. ticagrelor medication adherence in patients with acute coronary syndrome.

Medication nonadherence to dual antiplatelet therapy increases major cardiovascular events. In this study, we investigated patients' post-acute coronary syndrome (ACS) medication adherence to clopidogrel and ticagrelor over a 12-month period. Furthermore, we also examined the factors that may affect medication adherence in this patient population. This study included 509 patients who were scheduled for dual antiplatelet therapy for one year following ACS (October 2018-December 2019). A proportion of days covered (PDC) method, based on a pharmacy database system, was used to determine their medication adherence. Medication adherence was defined as > 80% PDC. No difference was found between clopidogrel and ticagrelor in terms of medication adherence (68.3% vs. 64.6%, p = 0.39). Moreover, higher education levels (B = 3.24, CI: 1.17-8.9, p = 0.023) and percutaneous coronary intervention (PCI) as a revascularization option (B = 0.35, CI: 0.17-0.71, p = 0.004) predicted medication adherence independently. In this research, medication adherence was found to be similar between the clopidogrel and ticagrelor groups. It was also predicted by higher education levels and revascularization with PCI.

Craniofacial Phenotype in Obstructive Sleep Apnea and Its Impact on Positive Airway Pressure (PAP) Adherence.

Positive airway pressure (PAP) is an important treatment tool for patients with moderate and severe obstructive sleep apnea (OSA), and adherence to PAP significantly affects treatment outcomes. Disease severity, adverse effects, and psychosocial factors are known to predict medication adherence. Cephalometric parameters have been reported to positively correlate with upper airway collapse. However, research on the correlation between these cephalometric parameters and PAP adherence remains insufficient. This study aimed to identify this relationship. This study included 185 patients with OSA who were prescribed PAP. Polysomnography (PSG) was performed to diagnose OSA, and paranasal sinus computed tomography (PNS CT) was performed to check for comorbidities of the upper airway. In addition, cephalometric parameters such as the hyoid-posterior nasal spine (H-PNS), posterior nasal spine-mandibular plane (PNS-MP), and hyoid-mandibular plane (H-MP) were measured in the midsagittal and axial CT views. Adherence was evaluated 3-12 months after the PAP prescription. A total of 136 patients were PAP-adherent, and 49 were nonadherent. There were more males in the adherent group and a higher average height in the adherent group. The PSG results showed that the apnea-hypopnea index (AHI), respiratory disturbance index (RDI), oxygen desaturation index (ODI), arousal index (AI), rapid eye movement (REM) AHI, and supine AHI were significantly higher, and the lowest oxygen saturation was lower in the adherent group. In the analysis of covariance (ANCOVA) model adjusted for sex and height, among the cephalometric parameters, H-MP was significantly longer in the adherent group (p = 0.027), and H-PNS showed a longer tendency (p = 0.074). In the logistic regression analysis model, the odds ratio (OR) and 95% confidence intervals (95% CI) of adherence and severe OSA in the third tertile compared to the first tertile of H-MP were 2.93 (1.25-6.86) and 4.00 (1.87-8.56). In the case of H-PNS, they were 2.58 (1.14-5.81) and 4.86 (2.24-10.54), respectively. This study concluded that an inferiorly placed hyoid bone in adult patients is associated with PAP adherence and disease severity.

Prediction of Medication Adherence Based on Dispositional Resilience, Ambiguity Tolerance and Perceived Social Support in Patients with Lung Cancer

Introduction:Lung cancer is the leading cause of cancer mortality worldwide. In recent years, the role of psychological factors in adherence to medication in patients with lung cancer has attracted more attention. This study aimed to investigate the prediction of medication adherence based on dispositional resilience, tolerance for ambiguity and perceived social support in patients with lung cancer in Yazd.&#x0D; Method: This descriptive-correlational study was conducted using a cross-sectional design. The statistical population consisted of all patients with lung cancer visiting Shahid Ramezan Zadeh Radiation Therapy Center in Yazd in 2020-2021, and 120 male patients were selected using convenience sampling. Data were collected using Medication Adherence Report Scale (MARS-8), Dispositional Resilience Scale (HARDY), Ambiguity Tolerance Scale-I (MSTAT-I) and Multidimensional Scale of Perceived Social Support (MSPSS), whose validity and reliability were confirmed. Then, they were analyzed in SPSS 23 using Pearson correlation coefficient and multiple regression.&#x0D; Results:Results suggested a significant positive correlation between dispositional resilience and medication adherence (R=0/47), ambiguity tolerance and medication adherence (R=0/61), as well as perceived social support and medication adherence (R=0.68) (P&lt;0/001). According to the results, the predictor variables generally explained 46.3% of the variance of medication adherence.&#x0D; Conclusion: Based on the results, medication adherence in patients with lung cancer is predictable using dispositional resilience, ambiguity tolerance and perceived social support.

Medication adherence in leukemia children receiving home-based treatment and its related factors

ABSTRACTObjectives:This study aimed to investigate home-based medication adherence in children with acute leukemia and its related factors.Methods:We examined 132 children with acute leukemia in a tertiary pediatric hospital in Chongqing. A general questionnaire, the MMAS-8 (the eight-item Morisky Medication Adherence Scale), SEAMS (Self-efficacy for Appropriate Medication Use Scale), and a multifactorial logistic regression model were used to analyze the factors related to drug adherence of the children.Results:54.55% of patients showed good medication adherence, while 50.76% either forgot a dose or administered an incorrect dose. The average score on the Self-Efficacy for Appropriate Medication Use Scale (SEAMS) was 32.47.61. The logistic regression analysis revealed that a SEAMS score, the occupation of caregivers, and the patient’s age were predictors of medication adherence among pediatric leukemia patients (P < 0.05).Conclusions:The home-based medication adherence in children with acute leukemia was not favorable. Patients with low SEAMS scores, farmers serving as caregivers, and children under the age of three should arouse more attention. It is expected to strengthen the confidence of patient families in medication by emphasizing the development of their relationships with healthcare professionals. Awareness of breakthroughs in leukemia home-based medication management systems by utilizing Internet technology.

61-LB: Blood Pressure and Lipid-Lowering Medication Adherence in Young Adults with Youth-Onset Type 2 Diabetes and Hypertension or Dyslipidemia—The TODAY2 iCount Study

Youth-onset type 2 diabetes (T2D) is associated with early development of vascular complications. Treatment of hypertension and dyslipidemia are critical to reduce morbidity. iCount examined adherence to blood pressure (BP) and lipid-lowering medications in young adults with youth-onset T2D (mean age 26 y, duration of T2D 12 y, BMI 37 kg/m2) and hypertension/nephropathy (n=196) or dyslipidemia (n=146) during the observational phase of the Treatment Options for type 2 Diabetes in Adolescents and Youth (TODAY)2 study (2017-2019). They were receiving diabetes care in their communities. Adherence was assessed with 3 monthly unannounced phone pill counts at 2 times 1 year apart. Percent low adherent (&amp;lt;80% pill-taking) and high-adherent (≥80% pill-taking) did not change over time. Of participants with hypertension and/or nephropathy, 80.1% were low adherent, 19.9% were high adherent. Those who were low adherent had fewer years of education (p=0.004), higher HbA1c (p=0.001) and shorter diabetes duration (p=0.031). Of those with dyslipidemia, 93.8% were low adherent, 6.2% high adherent. Those low adherent to BP (p&amp;lt;0.001) and lipid-lowering (p≤0.008) medications were also low adherent to oral hypoglycemic medications or insulin. Beliefs that medications are necessary were lower for those low adherent to BP and lipid-lowering medications (unadjusted analyses); concerns about medications also were lower for those low adherent to lipid-lowering medications. In adjusted multivariable analyses of participants with hypertension or nephropathy, having ≥1 material need insecurity predicted medication adherence 1 year later (p=0.010). Belief about medicines, diabetes distress, self-efficacy, depressive and anxiety symptoms, and self-management support were not 1 yr predictors of medication adherence. To prevent early vascular events, approaches that further identify and address unmet needs should be studied. Disclosure P. M. Trief: None. R. S. Weinstock: Consultant; Jaeb Center for Health Research, Other Relationship; Wolters Kluwer Health, Research Support; Insulet Corporation, Medtronic, Eli Lilly and Company, Novo Nordisk, Boehringer Ingelheim Inc., Hemsley Charitable Trust, National Institute of Diabetes and Digestive and Kidney Diseases, Tandem Diabetes Care, Inc., Kowa Pharmaceuticals America, Inc. B. K. Burke: None. H. Wen: None. S. Kalichman: None. J. D. Bulger: None. B. J. Anderson-thomas: None. Funding National Institute of Diabetes and Digestive and Kidney Diseases (R01DK110456)

Determinants of medication adherence in hemodialysis patients: a cross-sectional study based on capability-opportunity-motivation and behavior model

BackgroundMedication adherence is a key component of successful dialysis in end-stage renal disease (ESRD). The aim of this study was to use the Capability-Opportunity-Motivation and Behavior (COM-B) model in order to identify the most important determinants of medication adherence among ESRD patients.MethodsThis research was a cross-sectional design that was conducted in two steps in 2021. In the first step, COM-B components of patients undergoing hemodialysis (HD) therapy were extracted through literature review. The second step was a cross-sectional study among 260 ESRD patients referred to the dialysis unit from Kermanshah, in the west of Iran. Data was collected using a written questionnaire by interviews. The data was analyzed in SPSS version 16 software.ResultsThe mean age of respondents was 50.52 years [95% CI: 48.71, 52.33], ranged from 20 to 75 years. The mean score of medication adherence was 11.95 [95% CI: 11.64, 12.26], ranged from 4 to 20. Medication adherence is higher among patients with higher education (P = 0.009) and those who were employed (P < 0.001) and was significantly related to income (r = 0.176), while it was inversely and significantly related to the medication duration (r=-0.250). Motivation (Beta: 0.373), self-efficacy (Beta: 0.244), and knowledge (Beta: 0.116) are stronger determinants of medication adherence.ConclusionCOM-B model can be proposed as an integrated framework in predicting medication adherence among ESRD patients. Our findings provide theory-based recommendations that can help future clinical and research decision-making for the development, implementation, and evaluation of treatment adherence interventions in Iranian ESRD patients. The use of COM-B model can provide a comprehensive explanation about medication adherence in ESRD patients. Future research should be focus on increasing motivation, self-efficacy and knowledge of Iranian ESRD patients in order to increasing medication adherence.

Medication adherence among patients with cardiovascular diseases: a cross-sectional study.

Medication adherence has been recognised as one of the greatest areas to improve health outcomes and reduce health expenditure. Poor medication adherence has multifactorial causes that need to be understood. To determine the levels of medication adherence and examine the factors associated with medication adherence among patients with cardiovascular diseases (CVDs) in Jordan. A cross-sectional, descriptive correlational design was used to conduct this study. A convenience sample was used to recruit 250 patients with CVDs from outpatient clinics of Jordanian hospitals. Data were collected using the Multidimensional Scale of Perceived Social Support and Morisky Medication Adherence Scale, in addition to sociodemographic and clinical-related factors during the period from June to September 2019. It was found that the total mean score of medication adherence was 2.84 (standard deviation = 1.9), which reflected low adherence. A significant positive correlation was found between medication adherence and marital status and the number of diseases. However, smoking was negatively correlated with medication adherence. Smoking was the predictor of medication adherence. Medication adherence among patients with CVDs needs to be improved. Thus, healthcare professionals should develop strategies and interventions based on identifying factors to enhance medication adherence among those patients.

MSR79 Predicting Medication Adherence Using Blue Cross and Blue Shield of Louisiana's Historical Medical Claims

Medication non-adherence contributes to significant health care costs and detriments overall quality of life. Non-adherence may cause underlying conditions to spiral out of control until a disease is no longer manageable. Historically, only around 60% of prescribed medications are taken properly. Blue Cross and Blue Shield of Louisiana introduces the risk of medication non-adherence (RoMNA) models which leverage machine learning to predict whether someone is at risk of not taking their medication as prescribed. The models predict three classes of drugs: diabetes medications (non-insulin), anti-hypertensives and statins.

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

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.