Effect of income level on adherence to antidepressant treatment in first onset depression outpatients

Ji, Nam-Ju; Hong, Young-Joo

doi:10.1371/journal.pone.0238623

Cited by 11 publications

(7 citation statements)

References 21 publications

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“…Another study concluded that patient adherence was positively affected by older age and a higher educational level of patients [ 37 ]. A statistically significant association was found between the income level and adherence to antidepressants in patients with depression [ 38 ]. In another study, adherence increased as age increased until age 69 and started to decrease from age 70 in patients with hypertension [ 39 ], and another report that associated between the duration of a treatment and adherence to medication in patients with schizophrenia revealed that there are critical periods during which patients become most predisposed to poor adherence [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

What Are the Factors Associated with Nonadherence to Medications in Patients with Chronic Diseases?

et al. 2021

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Introduction: Adherence to medications is very crucial for an optimized clinical outcome in the management of chronic diseases. Beliefs about medications and other factors can significantly affect adherence to chronic medications. The objective of the present research was to identify the associated factors of adherence to medication in Jordanian patients with chronic diseases utilizing a stepwise binary logistical regression model. Methods: A cross-sectional study was carried out between November 2018 and March 2020. The participants were reached from secondary and tertiary care setting clinics in Jordan. The recruited patients were asked to report their attitudes of adherence to medications and beliefs about medications via filling out the MARS-5 and BMQ-specific tools. Sociodemographic data were also collected from the recruited patients and included in the regression model. A stepwise binary logistical regression model was applied to identify the associated factors of adherence to chronic medications in the tested sample. Results: A total of 485 patients who met the inclusion criteria were recruited. The mean age of the participants was 57.14 (age ranged from 22 to 82 years). Around 39% of the participants were older than 65 years. Most of the patients were either hypertensive or diabetic (35.7% and 32.2%, respectively). The logistic regression model indicated that necessity beliefs are strongly associated with adherence (OR 4.22), while concerns beliefs, dosage frequency and having medical insurance were negatively associated with adherence (OR 0.73, 0.74 and 0.26, respectively), with a p-value ≤ 0.05. Conclusions: Both the MARS-5 and BMQ-specific questionnaires were applied successfully on the tested sample. Better attention should be paid to the logistic regression model variables that were associated with adherence in order to guarantee optimal treatment outcomes in the treatment of chronic diseases.

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Section: Discussionmentioning

confidence: 99%

What Are the Factors Associated with Nonadherence to Medications in Patients with Chronic Diseases?

et al. 2021

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“…Four studies ( Akincigil et al, 2007 ; Holvast et al, 2019 ; Nam-Ju and Yeon-Pyo, 2020 ) examined the influence of income on adherence during the implementation phase. However, an MA could not be conducted due to the wide variability in categorizing income levels.…”

Section: Resultsmentioning

confidence: 99%

Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis

Del Pino-Sedeño,

Infante-Ventura,

Hernández-González

et al. 2024

Front. Pharmacol.

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Introduction: Current evidence reveals concerning rates of non-adherence to antidepressant treatment, possibly influenced by various relevant determinants such as sociodemographic factors or those related to the health system and their professionals. The aim of this paper is to review the scientific evidence on sociodemographic and clinical predictors of adherence to pharmacological treatment in patients diagnosed with a depressive disorder.Methods: a systematic review (SR) was conducted. The search for a previous SR was updated and de novo searches were performed in Medline, EMBASE, Web of Science (WoS) and PsycInfo (last 10 years). The risk of bias was assessed using the Cochrane tool for non-randomized studies—of Exposure (ROBINS-E). Meta-analyses were conducted.Results: Thirty-nine studies (n = 2,778,313) were included, 24 of them in the meta-analyses. In the initiation phase, no association of adherence was found with any of the predictors studied. In the implementation and discontinuation phases, middle-aged and older patients had better adherence rates and lower discontinuation rates than younger ones. White patients adhered to treatment better than African-American patients.Discussion: Age and ethnicity are presented as the predictive factors of pharmacological adherence. However, more research is needed in this field to obtain more conclusive results on other possible factors.Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023414059], identifier [CRD42023414059]

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“…Financial issues relate to transportation costs and other basic living expenses like housing, food, and school cost, all competing with the cost of medical treatment ( 83 ). In several previous studies it has been reported that patients with low income are more at risk for non-adherence than those with high income ( 84 – 86 ). Even though patients with low income in HICs may have similar relative risk, its absolute impact is higher in LMICs given the proportion of people live in poverty in LMICs is higher than in HICs and social security systems are less developed ( 87 ).…”

Section: Discussionmentioning

confidence: 99%

Self-reported medication adherence instruments and their applicability in low-middle income countries: a scoping review

Khoiry

Alfian

Boven

et al. 2023

Front. Public Health

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IntroductionMedication non-adherence is an important public health issue, associated with poor clinical and economic outcomes. Globally, self-reported instruments are the most widely used method to assess medication adherence. However, the majority of these were developed in high-income countries (HICs) with a well-established health care system. Their applicability in low- and middle-income countries (LMICs) remains unclear. The objective of this study is to systematically review the applicability of content and use of self-reported adherence instruments in LMICs.MethodA scoping review informed by a literature search in Pubmed, EBSCO, and Cochrane databases was conducted to identify studies assessing medication adherence using self-reported instruments for patients with five common chronic diseases [hypertension, diabetes, dyslipidemia, asthma, or Chronic Obstructive Pulmonary Disease (COPD)] in LMICs up to January 2022 with no constraints on publication year. Two reviewers performed the study selection process, data extraction and outcomes assessment independently. Outcomes focused on LMIC applicability of the self-reported adherence instruments assessed by (i) containing LMIC relevant adherence content; (ii) methodological quality and (iii) fees for use.FindingsWe identified 181 studies that used self-reported instruments for assessing medication adherence in LMICs. A total of 32 distinct types of self-reported instruments to assess medication adherence were identified. Of these, 14 self-reported instruments were developed in LMICs, while the remaining ones were adapted from self-reported instruments originally developed in HICs. All self-reported adherence instruments in studies included presented diverse potential challenges regarding their applicability in LMICs, included an underrepresentation of LMIC relevant non-adherence reasons, such as financial issues, use of traditional medicines, religious beliefs, lack of communication with healthcare provider, running out of medicine, and access to care. Almost half of included studies showed that the existing self-reported adherence instruments lack sufficient evidence regarding cross cultural validation and internal consistency. In 70% of the studies, fees applied for using the self-reported instruments in LMICs.ConclusionThere seems insufficient emphasis on applicability and methodological rigor of self-reported medication adherence instruments used in LMICs. This presents an opportunity for developing a self-reported adherence instrument that is suitable to health systems and resources in LMICs.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier: CRD42022302215.

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Effect of income level on adherence to antidepressant treatment in first onset depression outpatients

Cited by 11 publications

References 21 publications

What Are the Factors Associated with Nonadherence to Medications in Patients with Chronic Diseases?

What Are the Factors Associated with Nonadherence to Medications in Patients with Chronic Diseases?

Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis

Self-reported medication adherence instruments and their applicability in low-middle income countries: a scoping review

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