Adherence to Inhaled Corticosteroid Therapy and Its Clinical Impact on Asthma Control in Adults Living with Asthma in Northwestern Ethiopian Hospitals

Medication non-adherence and predictor factors among adult asthmatic patients in Ethiopia: a systematic review and meta-analysis

OBJECTIVE

A pronounced burden is evident in individuals with asthma, with approximately half of them not adhering to their prescribed medication. Therefore, this study aimed to assess the pooled prevalence of anti-asthma medications non-adherence in Ethiopia.

DATA SOURCES

A comprehensive search was conducted across multiple electronic databases including PubMed, Africa Index Medicus, Science Direct, Hinari, and a search engine, Google Scholar from October 5 to 20, 2023. In addition, digital research repositories from Addis Ababa and Bahir Dar University were accessed.

DATA SELECTION

The eligibility criteria was employed to screen studies after uploading search results to EndNote software to remove duplicates first. Then, two investigators, CT and BBT, independently assessed titles, abstracts, and the full text of all retrieved references to identify potentially eligible studies.

RESULT

This meta-analysis, which was conducted in Ethiopia, and included 11 full-text articles, revealed a pooled asthma medication non-adherence level of 51.20% (95% CI 35.20%, 67.20%) with substantial heterogeneity (I2 = 99.08%). The review has also identified factors predicting non-adherence among asthmatic patients: free (health service) (AOR: 0.31, 95% CI 0.18-0.54), poor knowledge (AOR: 2.85, 95% CI 1.61-5.05), absence of formal education (AOR: 3.01, 95% CI 1.72-5.25), history of previous ADR (AOR: 8.57, 95% CI 1.12-65.3), and the presence of Co- morbidity(AOR: 3.28, 95% CI 2.014-5.68), had shown association with asthma medication non-adherence.

CONCLUSION

Asthma medication non-adherence is notably high in Ethiopia. Addressing medication non-adherence requires a comprehensive approach, including clear communication between healthcare providers, patient education, and addressing financial barriers to ensure better adherence in asthma patients.

Medication regimen complexity and its impact on medication adherence in patients with multimorbidity at a comprehensive specialized hospital in Ethiopia

Background

Medication regimen complexity (MRC) is suspected to hinder medication adherence in patients with multiple illnesses. Despite this, the specific impact on Ethiopian patients with multimorbidity is unclear. This study assessed MRC and its impact on medication adherence in patients with multimorbidity.

Methods

A hospital-based cross-sectional study was conducted on patients with multimorbidity who had been followed at the University of Gondar Comprehensive and Specialized Hospital (UoGCSH), Ethiopia, from May to July 2021. Medication complexity was measured using the validated Medication Regimen Complexity Index (MRCI) tool, and the Adherence in Chronic Diseases Scale (ACDS) was used to measure medication adherence. Pearson's chi-square test was used to examine associations between MRCI levels and medication adherence. Ordinal logistic regression analysis was used to determine the impact of MRC and other associated variables on medication adherence. Statistical significance was determined using the adjusted odds ratio (AOR) at p-value <0.05 and its 95% confidence range.

Results

Out of 422 eligible patients, 416 (98.6%) were included in the study. The majority of participants (57.2%) were classified as having a high MRCI score with a mean (±SD) score of 9.7 (±3.4). Nearly half of the patients (49.3%) had low medication adherence. Patients with medium (AOR = 0.43, 95% CI: 0.04, 0.72) and higher (AOR = 0.31, 95% CI: 0.07, 0.79) MRCI levels had lower odds of medication adherence. In addition, monthly income (AOR = 4.59, 95% CI: 2.14, 9.83), follow-up durations (AOR = 2.31, 95% CI: 1.09, 4.86), number of medications (AOR = 0.63, 95% CI: 0.41, 0.97), and Charlson comorbidity index (CCI) (AOR = 0.36, 95% CI: 0.16, 0.83) were significantly associated with medication adherence.

Conclusion

Medication regimen complexity in patients with multimorbidity was found to be high and negatively impacted the levels of medication adherence. Healthcare providers and other stakeholders should seek interventions aimed at simplifying drug regimen complexity and improving adherence.

Asthma medication adherence, control, and psychological symptoms: a cross-sectional study

BACKGROUND

Nonadherence to therapies and psychological disorders are associated with poor asthma control. This study aims to assess the prevalence of anxiety and depressive symptoms, asthma control, and adherence to inhalers and to investigate whether there is an association of anxiety and depressive symptoms with adherence to inhalers and asthma control.

METHODS

We measured anxiety and depressive symptoms using the Hospital Anxiety and Depression Scale in patients with asthma. Asthma Control Test and the 10-Item Test of Adherence to Inhalers Scale were used to assess levels of asthma control adherence to inhalers, respectively. Univariate and multivariate regression models assessed the associations of anxiety and depressive symptoms with adherence to inhalers and asthma control.

RESULTS

A total of 287 patients completed the study, of whom 72% were female. The mean ± SD age and body mass index of our study population were 44 ± 13 years and 29 ± 7.2 kg/m2, respectively. Poor adherence to inhaler use was highly prevalent (49.8%; 95% CI: 43.8 to 55.7). The prevalence of anxiety, depression and poor asthma control was 27.2% (95% CI: 22.1 to 32.7), 20.9% (95% CI: 16.3 to 26.1), and 22.7% (95% CI: 17.9 to 27.9), respectively. We found a negative relationship between asthma control and anxiety, and depressive symptoms (adjusted β: -0.25; 95% CI: -0.36 to -0.14; p < 0.001 and adjusted β: -0.29; 95% CI: -0.40 to -0.18; p < 0.001, respectively). A negative relationship was also observed between adherence to inhalers and anxiety and depressive symptoms (adjusted β: -0.34; 95% CI: -0.46 to -0.22; p < 0.001 and adjusted β: -0.36; 95% CI: - 0.48 to - 0.24; p < 0.001, respectively).

CONCLUSIONS

The high prevalence of uncontrolled asthma symptoms and poor adherence to inhalers and their impact on anxiety and depression levels among patients with asthma point to the need for early screening for psychological symptoms and recognition of nonadherence as part of asthma assessment and management plan in primary care in Saudi Arabia to avoid further worsening of asthma symptoms. Further studies are needed to explore the effectiveness of specific psychoeducational interventions and investigate the long-term impact of early psychological symptom detection on asthma outcomes.

Prevalence and predictors of medication adherence among adolescents and adults with asthma in Ethiopia: a systematic review and meta-analysis

OBJECTIVE

This review aimed to estimate the pooled prevalence and predictors of medication adherence among adolescents and adults with asthma in Ethiopia.

DATA SOURCES

Primary studies were searched from PubMed, Scopus, HINARI, and Google Scholar from January 1, 2010 to December 10, 2023. In addition, we have used citation tracking.

STUDY SELECTIONS

Observational studies (cross sectional, case control, and cohort) conducted among asthmatic patients ≥15 years old in Ethiopia, published in English language were included. After screening, the studies were assessed using Joanna Briggs Institute (JBI) critical appraisal tool and data were extracted using a checklist. Heterogeneity was assessed using forest plot, Q-statistics and I2.

RESULTS

The review was performed among 13 institution-based studies with a total of 2901 participants with asthma. About 1058 participants had comorbid disease and 354 were cigarette smokers. The pooled prevalence of adherence to medications among patients with asthma was 40.50% (95% CI: 28.05, 52.96; p value < 0.001) with high heterogeneity (I2 = 98.25%, p < 0.001). Getting health education about asthma and having comorbid disease were predictors of medication adherence among adolescents and adults with asthma in Ethiopia.

CONCLUSIONS

The pooled prevalence of medication adherence among adolescents and adults with asthma in Ethiopia is low and indicated that three out of five adolescents and adults with asthma were non-adherent to medications. This implies the Ministry of Health should develop different strategies to improve medication adherence including patient education and strengthening the health care system. Multicenter longitudinal studies should be further conducted by using objective methods of adherence measurement and large sample size.

Prevalence of medication adherence among adult asthmatic patients in four African countries: A systematic review and meta-analysis

Non-adherence to medications has many deleterious effects including poor treatment outcomes, increased economic burden, increased morbidity, hospitalization rate, health care utilization, productivity loss, and mortality. Therefore, this review aimed to estimate the pooled prevalence of medication adherence among asthmatic adults in 4 African countries. Primary studies were extensively searched from databases such as PubMed, HINARI, Cochrane Library, CINHALand, Google Scholar, and Google search engines. After screening and assessing the quality of studies, data were extracted using a checklist. Heterogeneity was assessed using forest plot, Chocran's Q Test and I2. The random effects meta-analysis model was employed to pool the prevalence of medication adherence among adult asthmatic patients in Africa. Sub-group analysis and meta-regression were performed to identify the sources of heterogeneity. Publication bias was assessed using funnel plots with Egger's test. A sensitivity analysis was performed to assess the influence of individual studies on the overall estimate. The review was performed among 16 studies of which 14 were cross-sectional with a total of 4019 participants. The pooled random effects prevalence of adherence to medications among adult patients with asthma in Africa was 39% (95% CI: 32, 47; p < 0.001) with a heterogeneity (I2 = 94.82, p < 0.001). The pooled prevalence of medication adherence among adult asthmatic patients in Africa is low. Researchers should conduct further multicenter longitudinal studies by using objective methods of adherence measurement.

Parenting style and child asthma control in families of school-age children with asthma: The mediating effects of children's general self-efficacy and medication adherence

PURPOSE

Parenting style plays a pivotal role in children's chronic disease control. However, the relationship and underlying mechanism between parenting style and asthma control remain unclear. This study investigated the effects of parenting style on children's general self-efficacy, medication adherence and asthma control and the mediating effects of general self-efficacy and medication adherence among school-age children with asthma.

DESIGN AND METHODS

A cross-sectional study with a convenience sampling approach was conducted. This study followed the STROBE guidelines. School-age children with asthma and their parents (N = 211) from pediatric respiratory clinics in China completed the General Questionnaire, Short-Egna Minnen av. Barndoms Uppfostran-Chinese, General Self-Efficacy Scale, Medication Adherence Questionnaire and Childhood Asthma Control Test. Structural equation modeling was used to examine the mediation models.

RESULTS

Positive parenting style was positively correlated with child general self-efficacy, medication adherence and asthma control (r = 0.602, 0.572, 0.613, p < 0.001). Negative parenting style was negatively correlated with child general self-efficacy, medication adherence and asthma control (r = -0.535, -0.598, -0.586, p < 0.001). Structure Equation Modle (SEM) results indicated that the relationships between positive parenting style, negative parenting style and child asthma control were mediated by general self-efficacy (Effect Size [ES]: 0.209, 95%CI [0.075, 0.372]; and ES: -0.229, 95%CI [-0.387, -0.103], respectively) and medication adherence (ES: 0.128, 95%CI [0.032, 0.322]; and ES: -0.190, 95%CI [-0.432, -0.071], respectively) and together in serial (ES: 0.177, 95%CI [0.076, 0.295]; and ES: -0.118, 95%CI [-0.235, -0.020], respectively).

CONCLUSIONS

Parenting style may impact child asthma through both child general self-efficacy and medication adherence. The study may provide useful intervention targets for improving asthma control.

PRACTICE IMPLICATIONS

Nurses should encourage parents to increase positive parenting style while decreasing negative parenting style. Family interventions focusing on general self-efficacy and medication adherence may be advantageous to improve asthma control.

Medication regimen complexity and its impact on medication adherence and asthma control among patients with asthma in Ethiopian referral hospitals

BACKGROUND

Various studies have found that medication adherence is generally low among patients with asthma, and that the complexity of the regimen may be a potential factor. However, there is no information on the complexity of the regimen and its relationship to adherence and asthma outcomes in Ethiopian asthma patients. Therefore, this study assessed how complex medication regimens affected medication adherence and asthma control in patients with asthma.

METHOD

From February 1 to May 30, 2022, a multicenter cross-sectional study was conducted in three public referral hospitals in northwestern Ethiopia. The Medication Complexity Index (MRCI), a 65-item validated instrument, was used to represent the complexity of medication regimens The Medication Adherence Rating Scale for Asthma (MARS-A) was used to assess medication adherence, and the ACT was used to measure the level of asthma control. The association between predictor and outcome variables was determined using multivariable logistic regression analysis. P-values of < 0.05 were declared as a significant association.

RESULT

Patients with asthma (n = 396) who met the inclusion criteria were included in the final analysis. About 21.2% and 24.5% of the participants had high asthma-specific MRCI and patient-level MRCI, respectively. The majority (84.4%) of the participants did not adhere to their medication, and 71% of the participants were classified as having uncontrolled asthma. According to the result of the multivariable analysis, moving from a high asthma-specific MRCI to a moderate asthma MRCI enhances the likelihood of medication adherence by 2.51 times (AOR = 2.51, 95%CI: (1.27, 7.71). Likewise, patients who have low asthma MRCI were four times more likely to adhere to the medication compared with high asthma MRCI (AOR = 3.80, 95%CI: (2.0, 11.1). Similarly, patients having low patient-level MRCI were eight times more likely their asthma level had been controlled (AOR = 7.84, 95%CI: 1.46 to 21.3) and patients who had moderate patient-level MRCI were three times (AOR = 2.83, 95%CI: 1.05 to 8.25) more controlled asthma compared with patients who had high patient level MRCI.

CONCLUSION

The majority of asthma patients had low and moderate complexity of MRCI. Patients with low and moderate regimen complexity demonstrated high adherence and had well-controlled asthma. Therefore, future researchers should consider MRCI as one factor for adherence and asthma control levels.

Variables associated with asthma control among adult patients

Objective: Asthma is one of the most prevalent chronic diseases with a substantial impact on the health status of affected patients. Further research is necessary to identify factors contributing to poor asthma control. The current study aimed to investigate the factors associated with poor asthma control among adult asthmatic patients.Methods: In this case-control study, the Asthma Control Test (ACT) was translated into Arabic and distributed to adults with asthma attending two hospitals in Jordan to evaluate the degree of asthma control. The following variables were collected for each patient: sociodemographic information, comorbidities, appropriate use of inhaler technique, spirometric measurements, and medications use. Binary regression was used to evaluate factors associated with asthma control.Results: A total of 314 participants with a mean age of 51.47 years (±16.37) completed the study. ACT score had a mean of 16.68 (±4.86). The majority of asthmatic patients had insufficiently controlled asthma (64.6%). Binary regression results showed that previous respiratory infection history (p = 0.014, OR = 0.473 (95%CI 0.261-0.857)), higher exposure to irritants (p = 0.010, OR = 0.747 (95%CI 0.598-0.933)) decreased the odds of being in the controlled asthma group. Patients receiving inhaled corticosteroids (ICS) had higher odds of being in the controlled asthma group (p = 0.039, OR = 2.372 (95%CI 1.043-5.392)).Conclusions: The majority of asthma patients had insufficiently managed disease. The main factors that contributed to poor asthma control were respiratory infection history, increased exposure to asthma symptoms triggers, and ICS nonuse.

Medication adherence and its impact on glycemic control in type 2 diabetes mellitus patients with comorbidity: A multicenter cross-sectional study in Northwest Ethiopia

BACKGROUND

Medication nonadherence in patients with chronic diseases, particularly in type 2 diabetes mellitus (T2DM) with comorbidity, has continued to be the cause of treatment failure. The current study assessed medication adherence and its impact on glycemic control in T2DM patients with comorbidity.

METHODS

An institutional-based multicenter cross-sectional study was conducted among T2DM patients with comorbidity at the selected hospitals in Northwest Ethiopia. Medication adherence was measured using a structured questionnaire of the General Medication Adherence Scale (GMAS). A logistic regression model was used to identify predictors of the level of medication adherence and glycemic control. P < 0.05 at 95% confidence interval (CI) was statistically significant.

RESULTS

A total of 403 samples were included in the final study. This study showed that more than three-fourths (76.9%) of the participants were under a low level of medication adherence. Source of medication cost coverage [AOR = 10.593, 95% CI (2.628-41.835; P = 0.003], monthly income (P < 0.00), self-monitoring of blood glucose (SMBG) practice [AOR = 0.266, 95% CI (0.117-0.604); P = 0.002], number of medications [AOR = 0.068, 95% CI (0.004-0.813); P = 0.014] and medical conditions [AOR = 0.307, 95% CI (0.026-0.437); P = 0.018] were found to be significant predictors of medication adherence. Significantly, majority (74.7%) of participants had poor levels of glycemic control. Patients who had a high level of medication adherence [AOR = 0.003, 95% CI (0.000-0.113); P = 0.002] were found less likely to have poor glycemic control compared with patients who were low adherent to their medications.

CONCLUSION

The current study concluded that medication adherence was low and significantly associated with poor glycemic control. Number of medical conditions and medications were found to be associated with medication adherence. Management interventions of T2DM patients with comorbidity should focus on the improvement of medication adherence.