Environmental and individual predictors of medication adherence among elderly patients with hypertension and chronic kidney disease: A geospatial approach

Neighborhood-level social determinants of health and cardioprotective behaviors among church members in New Orleans, Louisiana

BACKGROUND

Favorable neighborhood-level social determinants of health (SDoH) are associated with lower cardiovascular disease risk. Less is known about their influence on cardioprotective behaviors. We evaluated the associations between neighborhood-level SDoH and cardioprotective behaviors among church members in Louisiana.

METHODS

Participants were surveyed between November 2021 to February 2022, and were asked about health behaviors, aspects of their neighborhood, and home address (to link to census tract and corresponding social deprivation index [SDI] data). Logistic regression models were used to assess the relation of neighborhood factors with the likelihood of engaging in cardioprotective behaviors: 1) a composite of healthy lifestyle behaviors [fruit and vegetable consumption, physical activity, and a tobacco/nicotine-free lifestyle], 2) medication adherence, and 3) receipt of routine medical care within the past year.

RESULTS

Participants (n = 302, mean age: 63 years, 77% female, 99% Black) were recruited from 12 churches in New Orleans. After adjusting for demographic and clinical factors, perceived neighborhood walkability or conduciveness to exercise (odds ratio [OR]=1.25; 95% CI: 1.03, 1.53), availability of fruits and vegetables (OR=1.23; 95% CI: 1.07, 1.42), and social cohesion (OR=1.55; 95% CI: 1.22, 1.97) were positively associated with the composite of healthy lifestyle behaviors. After multivariable adjustment, SDI was in the direction of association with all three cardioprotective behavior outcomes, but associations were not statistically significant.

CONCLUSIONS

In this predominantly Black, church-based population, neighborhood-level SDoH including the availability of fruits and vegetables, walkability or conduciveness to exercise, and social cohesion were associated with cardioprotective behaviors. Findings reiterate the need to address adverse neighborhood-level SDoH in the design and implementation of health interventions.

Adherence to antihypertensives in the United States: A comparative meta-analysis of 23 million patients

Adherence to antihypertensives is crucial for control of blood pressure. This study analyzed factors and interventions that could affect adherence to antihypertensives in the US. PubMed, Scopus, Web of Science, and Embase were searched on January 21, 2022 and December 25, 2023 for studies on the adherence to antihypertensives in the US. Nineteen studies and 23 545 747 patients were included in the analysis, which showed that adherence to antihypertensives was the highest among Whites (OR: 1.47, 95% CI 1.34-1.61 compared to African Americans). Employment status and sex were associated with insignificant differences in adherence rates. In contrast, marital status yielded a significant difference where unmarried patients demonstrated low adherence rates compared to married ones (OR: 0.8, 95% CI 0.67-0.95). On analysis of comorbidities, diabetic patients reported lower adherence to antihypertensives (OR: 0.95, 95% CI 0.92-0.97); furthermore, patients who did not have Alzheimer showed higher adherence rates. Different BMIs did not significantly affect the adherence rates. Patients without insurance reported significantly lower adherence rates than insured patients (OR: 3.93, 95% CI 3.43-4.51). Polypill users had higher adherence rates compared with the free-dose combination (OR: 1.21, 95% CI 1.2-1.21), while telepharmacy did not prove to be as effective. Lower adherence rates were seen among African Americans, uninsured, or younger patients. Accordingly, interventions such as fixed-dose combinations should be targeted at susceptible groups. Obesity and overweight did not affect the adherence to antihypertensives.

Impact of health literacy and illness perception on medication adherence among older adults with hypertension in Iran: a cross-sectional study

Background

Adherence to medication is an essential factor in controlling and reducing the side effects of non-communicable diseases, particularly hypertension. Medication adherence varies in older adults due to the effects of various factors. The research aimed to examine the determinants of medication adherence among older adults with hypertension.

Methods

This cross-sectional study was performed among 300 people aged 60 years or older referring to health centers in Sarab, Iran, between February and May 2023. To collect data, valid and reliable tools were applied.

Results

There was a significant association between age groups, level of education, and monthly income status with adherence to medication (p-value <0.05). According to the results of hierarchical regression, demographic variables collectively explained 3.2% of the variance in adherence to therapeutic regimens (p-value = 0.143). The inclusion of illness perception at step 2, along with demographic variables, led to a further significant increase in 9.6% of the variance (p-value <0.001). In the final step, health literacy dimensions were added, which explained an additional 8.7% of the variance (p-value <0.001). In total, demographic variables, illness perception, and HL dimensions explained 21.5% of the variance in adherence to therapeutic regimens.

Conclusion

According to the results, demographic variables, illness perception, and HL dimensions were the main determinants of medication adherence among older adults. Health educators should focus on creating interventions that improve medication adherence by addressing illness perception and health literacy dimensions in this particular population.

The impact of the socioeconomic factor on Parkinson's disease medication adherence: a scoping review

BACKGROUND

 Therapeutic adherence is a decisive issue on chronic disease management in patients requiring long-term pharmacotherapy, such as Parkinson's disease (PD). Although it is well known that socioeconomic factor is a barrier to medication adherence in many chronic diseases, its impacts on PD still need to be investigated.

OBJECTIVE

 Explore what and how socioeconomic factors impact medication adherence in people with PD.

METHODS

 We carried out a scoping review across three databases to identify studies exploring what and how socioeconomic factors impact medication adherence in people with PD considering eight attributes: 1. educational level, 2. disease-related knowledge, 3. income, 4. cost of medication, 5. drug subsidy (meaning presence of subsidies in the cost of medication), 6. employability, and 7. ethnicity (black, indigenous, immigrants).

RESULTS

 Of the 399 identified studies (Embase = 294, Medline = 88, LILACS = 17), eight met inclusion criteria. We identified factors covering the eight attributes of socioeconomic impact, and all of them negatively impacted the medication adherence of people with PD. The most prevalent factor in the studies was low patient educational level (four studies), followed by costs of medications (three studies), income (three studies), and disease-related knowledge (three studies). Distinctly from most of the studies selected, one of them evidenced suboptimal adherence in individuals receiving the medication free of charge, and another one could not find correlation between suboptimal adherence and educational level.

CONCLUSION

 Socioeconomic factors negatively impact medication adherence in PD patients. This review provides basis for developing patient and population-based interventions to improve adherence to treatment in PD.

Neighborhood-Level Socioeconomic Status and Prescription Fill Patterns Among Patients With Heart Failure

Importance

Medication nonadherence is common among patients with heart failure with reduced ejection fraction (HFrEF) and can lead to increased hospitalization and mortality. Patients living in socioeconomically disadvantaged areas may be at greater risk for medication nonadherence due to barriers such as lower access to transportation or pharmacies.

Objective

To examine the association between neighborhood-level socioeconomic status (nSES) and medication nonadherence among patients with HFrEF and to assess the mediating roles of access to transportation, walkability, and pharmacy density.

Design, Setting, and Participants

This retrospective cohort study was conducted between June 30, 2020, and December 31, 2021, at a large health system based primarily in New York City and surrounding areas. Adult patients with a diagnosis of HF, reduced EF on echocardiogram, and a prescription of at least 1 guideline-directed medical therapy (GDMT) for HFrEF were included.

Exposure

Patient addresses were geocoded, and nSES was calculated using the Agency for Healthcare Research and Quality SES index, which combines census-tract level measures of poverty, rent burden, unemployment, crowding, home value, and education, with higher values indicating higher nSES.

Main Outcomes and Measures

Medication nonadherence was obtained through linkage of health record prescription data with pharmacy fill data and was defined as proportion of days covered (PDC) of less than 80% over 6 months, averaged across GDMT medications.

Results

Among 6247 patients, the mean (SD) age was 73 (14) years, and majority were male (4340 [69.5%]). There were 1011 (16.2%) Black participants, 735 (11.8%) Hispanic/Latinx participants, and 3929 (62.9%) White participants. Patients in lower nSES areas had higher rates of nonadherence, ranging from 51.7% in the lowest quartile (731 of 1086 participants) to 40.0% in the highest quartile (563 of 1086 participants) (P < .001). In adjusted analysis, patients living in the lower 2 nSES quartiles had significantly higher odds of nonadherence when compared with patients living in the highest nSES quartile (quartile 1: odds ratio [OR], 1.57 [95% CI, 1.35-1.83]; quartile 2: OR, 1.35 [95% CI, 1.16-1.56]). No mediation by access to transportation and pharmacy density was found, but a small amount of mediation by neighborhood walkability was observed.

Conclusions and Relevance

In this retrospective cohort study of patients with HFrEF, living in a lower nSES area was associated with higher rates of GDMT nonadherence. These findings highlight the importance of considering neighborhood-level disparities when developing approaches to improve medication adherence.

Generating Practice-Based Evidence in the Use of Guideline-Recommended Combination Therapy for Secondary Prevention of Acute Myocardial Infarction

Background: Clinical guidelines recommend beta-blockers, angiotensin-converting enzyme inhibitors/angiotensin-receptor blockers, and statins for the secondary prevention of acute myocardial infarction (AMI). It is not clear whether variation in real-world practice reflects poor quality-of-care or a balance of outcome tradeoffs across patients. Methods: The study cohort included Medicare fee-for-service beneficiaries hospitalized 2007-2008 for AMI. Treatment within 30-days post-discharge was grouped into one of eight possible combinations for the three drug classes. Outcomes included one-year overall survival, one-year cardiovascular-event-free survival, and 90-day adverse events. Treatment effects were estimated using an Instrumental Variables (IV) approach with instruments based on measures of local-area practice style. Pre-specified data elements were abstracted from hospital medical records for a stratified, random sample to create "unmeasured confounders" (per claims data) and assess model assumptions. Results: Each drug combination was observed in the final sample (N = 124,695), with 35.7% having all three, and 13.5% having none. Higher rates of guideline-recommended treatment were associated with both better survival and more adverse events. Unmeasured confounders were not associated with instrumental variable values. Conclusions: The results from this study suggest that providers consider both treatment benefits and harms in patients with AMIs. The investigation of estimator assumptions support the validity of the estimates.

Impact of integrated behavioral health services on adherence to long-acting injectable antipsychotics

Purpose

Integrated health care occurs when specialty and general care providers work together to address both the physical and mental health needs of their patients. The Substance Abuse and Mental Health Services Administration model of integration is broken into six levels of coordinated, co-located and integrated care. Our institution offers both co-located and integrated care among eight clinic sites. The care team is typically composed of the primary care provider, nurse and medical assistant, but other professionals may be introduced based on the patient’s medical and psychiatric conditions. The purpose of this prospective, quality improvement study was to compare the rates of adherence to long-acting injectable antipsychotics (LAIAs) between both types of integrated primary care settings at our institution. The comparison of the two settings sought to determine which environment provides improved outcomes for patients with serious psychiatric illnesses. Additionally, we aimed to assess the quality of medication-related monitoring and care team composition between care settings, and the ability of pharmacists to deliver interprofessional care team training and education on LAI use in clinical practice.

Design/methodology/approach

Subjects were identified and included in the study if they had received primary care services from our institution within the previous 12 months. Patient demographic and laboratory variables were collected at baseline and when clinically indicated. The rates of adherence between care settings were assessed at intervals that align with the medication’s administration schedule (e.g. every four weeks). Medication-related monitoring parameters were collected at baseline and when clinically indicated. The interprofessional care team completed Likert scale surveys to evaluate the pharmacist’s LAIA education and training.

Findings

There was not a statistically significant difference detected between integrated primary care settings on the rates of adherence to LAIAs. Additionally, there was not a statistically significant difference between rates of adherence to medication-related monitoring parameters or the effect of the patient treatment team composition. There was a statistically significant difference between pre- and post-session survey scores following interprofessional education and training provided by a pharmacist.

Originality/value

Because overall rates of adherence were low, both primary care settings were found to be equivalent. Our study may have been underpowered to detect a difference in the primary endpoint because of the small sample size. However, our study demonstrates that interprofessional education and training may lend itself to changes in practice, which is evident by the clinically significant relative increase in adherence. The Henry J. Austin Health Center network will be implementing a standard operating procedure regarding LAIA management within the primary care setting. Further studies are needed to assess a larger number of patients between both types of primary care settings, as well as the impact of the clinical psychiatric pharmacist as a member of the treatment team.

Geographic variation in and contextual factors related to biguanide adherence amongst medicaid enrolees with type 2 Diabetes Mellitus

Much is known about the adverse impacts on diabetes outcomes of non-adherence to diabetes medication. Less is known about how adherence to diabetes medication varies geographically, and the correspondence of this variation to social and contextual factors. Using pharmacy claims data over a two-year period, this study analysed non-adherence to biguanide medication for N=24,387 adult Medicaid enrolees diagnosed with Type 2 Diabetes Mellitus (T2DM) and residing in Ohio. Spatial analysis was used to detect clusters of census tract level rates of non-adherence, defined as the proportion of patients below the Proportion Days Covered (PDC) threshold of 80%, the level at which patients have a reasonable likelihood of achieving most clinical benefit from their medication. Multilevel models were used to understand associations between medication non-adherence and contextual factors including social vulnerability, urbanicity and distance to utilised pharmacy, with adjustment for individual-level covariates. These findings indicate that contextual factors are associated with medication non-adherence in Medicaid clients with T2DM. They suggest a need for spatially specific, multifaceted intervention programmes that target and/or account for the features of residential settings beyond individual and health system-level factors alone. While “environmental” considerations are often acknowledged, few intervention initiatives are predicated on explicit knowledge of spatially variable influences that can be targeted to enable and support medication adherence.

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Medication adherence is a problem amongst Type 2 Diabetes patients on Medicaid.

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Social and contextual factors' influence on medication adherence is underexplored.

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Higher social vulnerability is associated with non-adherence to biguanides.

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Adopting spatial analysis techniques enables geographic targeting of health risk.

Rate of Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Use and the Number of COVID-19-Confirmed Cases and Deaths

The novel coronavirus SARS-CoV-2 uses the angiotensin-converting enzyme 2 receptor as an entry point to the cell. Cardiovascular disease (CVD) is a risk factor for COVID-19 with poor outcomes. We tested the hypothesis that the rate of angiotensin-converting enzyme inhibitor (ACEI) and angiotensin receptor blocker (ARB) use is associated with the rate of COVID-19-confirmed cases and deaths. We conducted a geospatial, ecological study using publicly available county-level data. The Medicare ACEI and ARB prescription rate was exposure. The COVID-19-confirmed case and death rates were outcomes. Spatial autoregression models were adjusted for the rate of births and deaths; Group Quarters population; percentage of female; percentage of Native American, Pacific Islander, Hispanic, and Black; percentage of children and older (>65 years) adults; percentage of uninsured; percentage of those living in poverty; percentage of those who are obese, smoking, admitting insufficient sleep, and those with at least some college degree; median household income; air quality index; CVD hospitalization rate in Medicare beneficiaries; and CVD death rate in a total county population. After adjustment for confounders, the ACEI use rate did not associate with COVID-19-confirmed case rate (direct county-own effect + 0.027%; 95% confidence interval [CI] -1.080 to 1.134; p = 0.962; indirect spillover effect + 0.26%; 95% CI -70.0 to 70.5; p = 0.994). Similarly, the ARB use rate was not associated with COVID-19-confirmed case rate (direct effect + 0.029%; 95% CI -0.803 to 0.862; p = 0.945; indirect effect + 0.19%; 95% CI -52.8 to 53.2; p = 0.994). In both unadjusted and adjusted Bayesian zero inflation Poisson analysis, neither ACEI nor ARB use rates were associated with COVID-19 death rates. In conclusion, ACEI and ARB use rates were not associated with COVID-19 infectivity and death rate in this ecological study.

Factors Associated with Medication Non-Adherence in Patients with Dyslipidemia

Lack of medication adherence among patients with dyslipidemia negatively affects health-related outcomes. This study aims to evaluate medication adherence; we also aim to investigate the predictors of non-adherence among patients with dyslipidemia in Jordan. Medication adherence was evaluated in a total of 228 dyslipidemia patients. The Beliefs about Medicines Questionnaire was also used to assess patients' beliefs about medications. The majority of the current study participants (73.2%) reported non-adherence to the prescribed medications. There were significant negative associations between medication adherence and concerns of prescription drug use (B = -0.41, p-value < 0.01), duration of dyslipidemia (B = -0.22, p-value < 0.01), and the number of medications (B = -0.64, p-value < 0.01). Positive associations were found between medication adherence and the necessity of prescription drug use (B = 0.43, p-value < 0.01), taking statin and fibrate (B = 2.04, p-value < 0.01), and moderate-intensity statin (B = 2.34, p-value < 0.01). As for patients' beliefs about medications, the item "My medicine to lower my cholesterol disrupted my life" had the highest mean (3.50 ± 0.99). This study revealed a low adherence rate to medication among patients with dyslipidemia. It also demonstrates modifiable factors such as beliefs regarding perceived risk, medication harms, treatment duration, and the number of medications associated with poor adherence in patients with dyslipidemia.

Medication non-adherence in chronic kidney disease: a mixed-methods review and synthesis using the theoretical domains framework and the behavioural change wheel

OBJECTIVE

Medication non-adherence is a well-recognised issue in chronic diseases but data in patients with chronic kidney disease (CKD) not receiving kidney replacement therapy (KRT) remains limited. This review summarised the prevalence of medication non-adherence and assessed determinants and outcomes associated with it in adults with CKD, not on KRT.

METHOD

We searched PubMed, Embase, PsychInfo, Web of Science, and Cochrane (CENTRAL) for studies published until January 2020. Pooled prevalence of medication non-adherence was reported. Determinants of adherence-identified from quantitative and qualitative studies-were mapped into the theoretical domains framework and interventions proposed using the behavioural change wheel.

RESULTS

Twenty-seven studies (22 quantitative and 5 qualitative) were included. The pooled prevalence of medication non-adherence was 39% (95% CI 30-48%). Nine studies reported association between non-adherence and outcomes, including blood pressure, disease progression, adverse events, and mortality. Modifiable determinants of non-adherence were mapped into 11 of the 14 Theoretical Domains Framework-of which, six appeared most relevant. Non-adherence decisions were usually due to lack of knowledge on CKD, comorbidities, and medications; polypharmacy and occurrence of medication side effects; changes in established routines such as frequent medication changes; higher medication cost, poor accessibility to medications, services and facilities; inadequate patient-healthcare professional communication; and forgetfulness. Using the behavioural change wheel, we identified several areas where interventions can be directed to improve medication adherence.

CONCLUSION

Medication non-adherence is common in adults with CKD, not on KRT and may lead to poor outcomes. Evidence synthesis using mixed study designs was crucial in identifying determinants of non-adherence, drawing on a parsimonious approach from behaviour science.

PROSPERO REGISTRATION

CRD42020149983.

Continuous medication monitoring: A clinical model to predict adherence to medications among chronic kidney disease patients

BACKGROUND

An adherence model is required to optimise medication management among chronic kidney disease (CKD) patients, as current assessment methods overestimate the true adherence of CKD patients with complex regimens. An approach to assess adherence to individual medications is required to assist pharmacists in addressing non-adherence.

OBJECTIVE

To develop an adherence prediction model for CKD patients.

METHODS

This multi-centre, cross-sectional study was conducted in 10 tertiary hospitals in Malaysia using simple random sampling of CKD patients with ≥1 medication (sample size = 1012). A questionnaire-based collection of patient characteristics, adherence (defined as ≥80% consumption of each medication for the past one month), and knowledge of each medication (dose, frequency, indication, and administration) was performed. Continuous data were converted to categorical data, based on the median values, and then stratified and analysed. An adherence prediction model was developed through multiple logistic regression in the development group (n = 677) and validated on the remaining one-third of the sample (n = 335). Beta-coefficient values were then used to determine adherence scores (ranging from 0 to 7) based on the predictors identified, with lower scores indicating poorer medication adherence.

RESULTS

Most of the 1012 patients had poor medication adherence (n = 715, 70.6%) and half had good medication knowledge (n = 506, 50%). Multiple logistic regression analysis determined 4 significant predictors of adherence: ≤7 medications (constructed score = 2, p < 0.001), ≤3 co-morbidities (constructed score = 1, p = 0.015), absence of complementary/alternative medicine use (constructed score = 1, p = 0.003), and knowledge score ≥80% (constructed score = 3, p < 0.001). A higher total constructed score from the prediction model indicated a higher likelihood of adherence (odds ratio [OR]: 2.41; 95% confidence interval [CI]: 2.112-2.744; p < 0.001). The area under the receiver operating characteristic (ROC) curve of the developed model (n = 677) had good accuracy (ROC: 0.867, 95% CI: 0.840-0.896; p < 0.001). The validated model (n = 335) also had good accuracy (ROC: 0.812, 95% CI: 0.765-0.859; p < 0.001). There was no significant difference between the development and validation groups (p = 0.11, Z-value:1.62, standard error: 0.034).

CONCLUSION

The score constructed from the medication adherence prediction model for CKD patients had good accuracy and could be useful for identifying patients with a higher risk of non-adherence, to ensure optimised adherence management.

The Association Between the Rate of Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Use and the Number of Covid-19 Confirmed Cases and Deaths in the United States: Geospatial Study

BACKGROUND

The novel coronavirus SARS-Cov2 uses the angiotensin-converting enzyme 2 (ACE2) receptor as an entry point to the cell. Cardiovascular disease (CVD) is a risk factor for the novel coronavirus disease (Covid-19) with poor outcomes. We hypothesized that the rate of ACE inhibitor (ACEI) and angiotensin receptor blocker (ARB) use is associated with the rate of Covid-19 confirmed cases and deaths.

METHODS

We conducted a geospatial study using publicly available county-level data. The Medicare ACEI and ARB prescription rate was exposure. The Covid-19 confirmed case and death rates were outcomes. Spatial autoregression models were adjusted for the percentage of Black residents, children, residents with at least some college degree, median household income, air quality index, CVD hospitalization rate in Medicare beneficiaries, and CVD death rate in a total county population.

FINDINGS

After adjustment for confounders, the ACEI use rate did not associate with Covid-19 confirmed case rate (direct county-own effect +0.11 %; 95%CI -0.31 to 0.53; P=0.600, and indirect spillover effect -0.53 %; 95%CI -3.89 to 2.84; P=0.760). The ARB use rate was associated with increased Covid-19 confirmed case rate (direct county-owned effect +0.12 %; 95%CI 0.05-0.19; P=0.002, and indirect spillover effect -0.33 %; 95%CI -2.11 to 1.44; P=0.714). Sensitivity analysis indicated an absence of significant reverse causality bias for analyses with Covid-19 confirmed case rate, but not death rate outcome.

INTERPRETATION

Our results highlight the safety of ACEI use for patients with clinical indications for ACEI use. However, an increase in ARB use by 1% was associated with a 0.12 % increase in Covid-19 confirmed cases. The use of ARB, due to known ACE2 upregulation, may facilitate SARS-CoV-2 entry into target cells and increase infectivity. Cluster-randomized controlled trial is warranted to answer the question of whether the replacement of ARB by ACEI may reduce the Covid-19 confirmed case rate.

Hypertension and Drug Adherence in the Elderly

Hypertension is highly prevalent after the age of 65 years affecting more than 60% of individuals in developed countries. Today, there is sufficient evidence from clinical trials that treating elderly subjects with hypertension with antihypertensive medications has a positive benefit/risk ratio even in very elderly patients (>80 years). In recent years, partial or total non-adherence has been recognized as major issues in the long-term management of hypertension in all age categories. However, whether non-adherence is more frequent in hypertensive patients older than 65 years or not is still a matter of debate and the common belief is that adherence is lower in older than in younger patients. Are clinical data supporting this belief? In this brief review, we discuss the topic of drug adherence in elderly in the context of the medical treatment of hypertension. Studies show that drug adherence is actually better in patients aged 65 to 80 years when compared to younger hypertensive patients (<50 years). However, in very old patients (>80 years) the prevalence of non-adherence does increase. In this patients' group, there are specific risk factors for non-adherence such as cognitive ability, depression, and health believes, in addition to classical risk factors for non-adherence. One important aspect in the elderly is the prescription of potentially inappropriate medications that will interfere with the adherence to necessary treatments. In this context, an interesting new concept was developed few years ago, i.e., the process of deprescribing. Thus, today, in addition to conventional guidelines recommendations (use of single pill combinations, individualization of treatments), the evaluation of cognitive abilities, the regular assessment of potentially inappropriate medications, and the process of deprescribing appear to be three new additional steps to improve drug adherence in the elderly and thereby ameliorate the global management of hypertension.