Background Real-world evidence for digitally-supported asthma programs among Medicaid-enrolled children remains limited. Using data from a collaborative quality improvement program, we evaluated the impact of a digital intervention on asthma inhaler use among children in southwest Detroit. Methods Children (6–13 years) enrolled with Kids Health Connection (KHC), a program involving home visits with an asthma educator, were invited to participate in a digital self-management asthma program (Propeller Health). Patients were provided with a sensor to capture short-acting beta-agonist (SABA) medication use, and given access to a paired mobile app to track usage. Patients’ healthcare providers and caregivers (“followers”) were invited to view data as well. Retrospective paired t-tests assessed change in mean SABA use and SABA-free days (SFD) over time, and regressions explored the relationship between followers and medication use. Results Fifty-one patients were assessed. Mean program participation was nine months, and patients had on average 3 followers. From the first to last participation month, mean SABA use decreased from 0.68 to 0.25 puffs/day ( p < 0.001), and mean SFD increased from 25.2 to 28.1 days/month ( p < 0.001). 76% of patients had an increase in the number of SFD. There was a positive, but non-significant, relationship between the number of followers and reductions in SABA inhaler use. Conclusions We observed a significant reduction in SABA inhaler use and an increase in the number of SABA-free days among Medicaid-enrolled children enrolled in a multi-modal digital asthma program.
Abstract Background There is an increased prevalence of psychological distress in adults with asthma. Psychological distress describes unpleasant feelings or emotions that impact the level of functioning. It is a significant exacerbating factor in asthma control. Addressing factors that contribute to psychological distress in those asthma patients improves asthma outcomes. So, this study aimed to assess the prevalence of psychological distress and associated factors among asthmatic patients at Hawassa public hospitals, Ethiopia, 2021. Methods Institution-based cross-sectional study design was used to select 394 asthma patients. Proportional allocation and systematic sampling techniques were used to select study participants. A logistic regression model was used to assess the predictors and psychological distress of the asthmatic patient. The association was interpreted using the odds ratio and 95% confidence interval. Result A total of 394 asthma patients participated in the study, giving a response rate of 93.4%. The prevalence of psychological distress among asthmatic patients was 51% [95%CI: 46%-56%]. Participants who had comorbid medical illness [AOR: 6.049, 95% CI (3.131–11.684)], experienced stigma [AOR: 3.587, 95%CI (1.914–6.723)], chewed khat [AOR: 7.268, 95%CI (3.468–15.231)], had poor social support and had uncontrolled asthma were significantly associated with psychological distress in asthmatic patients. Conclusion This study demonstrated that the prevalence of psychological distress was found to be high among asthmatic patients. Social support, stigma, chewing khat, comorbid medical illness, and poor asthmatic control had significantly associated with psychological distress in asthmatic patients.
Background Globally, adequate asthma control is not yet achieved. The main cause of uncontrollability is nonadherence to prescribed medications. Objectives The objective of this study is to assess asthmatic patients' non-adherence to anti-asthmatic medications and the predictors associated with non-adherence. Methods An institution-based cross-sectional study was conducted in three governmental hospitals in Bahir Dar city from September 5 to December 12, 2021. The data was collected using the Adherence Starts with Knowledge-12 tool (ASK-12). Systematic random sampling was applied to select study participants. Bivariable and multivariable logistic regression analyses were used to identify predictors of non-adherence. All statistical tests were analyzed using STATA version 16. P -values less than 0.05 were considered statistically significant. Results A total of 422 asthmatic patients were included in the study. Most of the study participants (55.4%) did not adhere to their prescribed anti-asthmatic medicines. The educational status of the study participants (AOR = 0.03, 95% CI = 0.00–0.05), family history of asthma (AOR = 0.13, 95% CI = 0.04–0.21), and disease duration that the patients were living with (AOR = 0.01, 95% CI = 0.00–0.01) were the predictors of non-adherence to anti-asthmatic medications. Conclusions The level of nonadherence to treatment among patients with asthma was high. Religion, educational status of study participants, family history of asthma, and duration of the disease were the predictors of non-adherence of asthmatic patients to their antiasthmatic medications. Therefore, the Ministry of health, health policy makers, clinicians, and other healthcare providers should pay attention to strengthening the adherence level to antiasthmatic medications, and country-based interventions should be developed to reduce the burden of non-adherence to anti-asthmatic medications.
Atopic dermatitis (AD) as a chronic inflammatory systemic condition is far more than skin deep. Co-morbidities such as asthma and allergic rhinitis as well as the psychological impact influence seriously the quality of life of the patients. Recent studies have shown that only 10% of atopic patients undergo full manifestation of the atopic march, while 40% demonstrate concomitant food allergy. Exposure to food allergens in the environment causes sensitization and food allergy through the disruption of the skin barrier, as in AD. Food allergy and AD are closely related. While not all AD patients have a food allergy, 20–40% of children with moderate to severe AD will have an IgE-mediated food allergy. It is known that they may coexist but it is unclear if food allergy worsens the course of AD. Experimental, clinical, and epidemiological studies have provided evidence of the primary role of an epidermal barrier defect in the development of sensitization to environmental allergens and that this process occurs in the damaged skin barrier rather than the gastrointestinal or respiratory tract. There is strong evidence for a connection between early AD onset and the development of other allergic diseases later in life.
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.
