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The Effects of Caregiver Social Support and Depressive Symptoms on Child Medication Adherence and Asthma Control.

ABSTRACT: The purpose of this study was to examine relationships among caregiver social support, caregiver depressive symptoms, medication adherence, and asthma control in a sample of low-income, urban, Black children aged 3-12 years with uncontrolled asthma and their caregivers. Using longitudinal data from a randomized controlled trial (RCT) assessing the efficacy of an environmental control educational intervention, we used generalized estimating equations and ordered logistic regression models to evaluate the relationship between caregiver social support (Medical Outcomes Study Social Support Survey), depressive symptoms (Center for Epidemiologic Studies Depression scale), and two child asthma outcomes: (a) medication adherence (Asthma Medication Ratio) and (b) asthma control. At baseline, 45.7% of the 208 children had very poorly controlled asthma. Nearly a third of caregivers (97% female) had clinically significant depressive symptoms at each data collection point. Social support was not associated with either asthma outcome nor did it moderate the relationship between depressive symptoms and child asthma outcomes. Higher caregiver depressive symptoms predicted decreased medication adherence (b=-0.003, SE 0.002). Moderate asthma at baseline (OR: 0.305, SE: 0.251), severe asthma at baseline (OR: 0.142, SE: 0.299), household income < $20,000 per year (OR: 0.505, SE: 0.333), and fall season (OR: 0.643, SE: 0.215) were associated with poorer asthma control. Attending to the social context of low-income, urban, Black children with asthma is critical to reduce asthma morbidity. Maternal depressive symptoms are modifiable and should be targeted in interventions to improve child asthma outcomes in this vulnerable population. The RCT was registered with ClinicalTrials.gov (NCT01981564) in October 2013.

SUBMITTER: Margolis RHF

PROVIDER: S-EPMC8153098 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundNonadherence to medication contributes substantially to worse health outcomes. Especially among older adults with chronic illness, multimorbidity leads to complex medication regimes and high nonadherence rates. In previous research, depressive symptomology has been identified as a major contributor to nonadherence, and some authors hypothesize a link via motivational deficits and low self-efficacy. However, the exact mechanisms linking depressive symptomology and nonadherence are not yet understood. This is in part because the often-employed sum scores cannot do justice to the complexity of depressive symptomology; instead, it is recommended to assess the influence of individual symptoms.MethodsFollowing this symptom-based approach, we performed correlation, network and regression analysis using depressive symptoms as depicted by the items of the revised Beck Depression Inventory II (BDI) to assess their influence with nonadherence in N = 731 older adults with chronic neurological diseases. Nonadherence was measured with the self-report Stendal Adherence to Medication Score (SAMS).ResultsEven when controlling for sociodemographic and health-related covariates, the BDI remained the most influential contributor to nonadherence. Across different methods, Loss of Interest and Difficulty with Concentration were identified as particularly influential for nonadherence, linking nonadherence with other affective or somatic BDI items, respectively. Additionally, Fatigue, Problems with Decision Making, Suicidal Thoughts, and Worthlessness contribute to nonadherence.ConclusionUsing a symptom-driven approach, we aimed to understand which depressive symptoms contribute to higher levels of nonadherence. Our results refine previous hypotheses about motivation and control beliefs by suggesting that it is not merely a lack of beliefs in the efficacy of medication that connects depressive symptoms and nonadherence, but rather an overall lack of interest in improving one's health due to feelings of worthlessness and suicidal tendencies. This lack of interest is further substantiated by already sparse resources caused by changes in concentration and fatigue. In order to improve health outcomes and reduce nonadherence, these associations between depressive symptoms must be further understood and targeted in tailored interventions.

Project description:BackgroundVarious 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.MethodFrom 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.ResultPatients 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.ConclusionThe 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.

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The Effects of Caregiver Social Support and Depressive Symptoms on Child Medication Adherence and Asthma Control.

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