scholarly journals Examining Medication Nonadherence & Patient Cost Responsibility in Survivors

2021 ◽  
Vol 43 (23) ◽  
pp. 30-30
Author(s):  
Catlin Nalley
Keyword(s):  
Medication Nonadherence ◽  
Patient Cost

scholarly journals Temporal trends and variation in out-of-pocket expenditures and patient cost sharing: evidence from a Chinese national survey 2011–2015

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Vicky Mengqi Qin ◽  
Yuting Zhang ◽  
Kee Seng Chia ◽  
Barbara McPake ◽  
Yang Zhao ◽  
...  
Keyword(s):  
Prescription Drugs ◽  
Cost Sharing ◽  
Temporal Trends ◽  
Absolute Amount ◽  
Financial Protection ◽  
Patient Cost ◽  
Older Chinese ◽  
Using Data ◽  
Reported Data ◽  
The Relationship

Abstract Objectives This study aims to examine: (1) temporal trends in the percentage of cost-sharing and amount of out-of-pocket expenditure (OOPE) from 2011 to 2015; (2) factors associated with cost-sharing and OOPE; and (3) the relationships between province-level economic development and cost-sharing and OOPE in China. Setting A total of 10,316 adults aged ≥45 years from China followed-up from 2011 to 2015 were included in the analysis. We measured two main outcome variables: (1) patient cost sharing, measured by the percentage of OOPE as total healthcare expenditure, and (2) absolute amount of OOPE. Results Based on self-reported data, we did not find substantial differences in the percentage of cost sharing, but a significant increase in the absolute amount of OOPE among the middle-aged and older Chinese between 2011 and 2015. The percentage of cost-sharing was considerably higher for outpatient than inpatient care, and the majority paid more than 80% of the total cost for prescription drugs. Provinces with higher GDP per capita tend to have lower cost-sharing and a higher OOPE than their counterparts, but the relationship for OOPE became insignificant after adjusting for individual factors. Conclusion Reducing out-of-pocket expenditure and patient cost sharing is required to improve financial protection from illness, especially for those with those with chronic conditions and reside in less developed regions in China. Ongoing monitoring of financial protection using data from various sources is warranted.

Primary Medication Nonadherence Calculation Method Specifications Impact Resulting Rates

2021 ◽  
Author(s):  
Autumn D. Zuckerman ◽  
Joshua DeClercq ◽  
Nisha B. Shah ◽  
Victoria W. Reynolds ◽  
Megan Peter ◽  
...  
Keyword(s):  
Calculation Method ◽  
Medication Nonadherence

scholarly journals Nonadherence to tuberculosis treatment and associated factors among patients using directly observed treatment short-course in north-west Nigeria: A cross-sectional study

2021 ◽  
Vol 9 ◽  
pp. 205031212198949
Author(s):  
Cylia Nkechi Iweama ◽  
Olaoluwa Samson Agbaje ◽  
Prince Christian Ifeanachor Umoke ◽  
Chima Charles Igbokwe ◽  
Eyuche Lawretta Ozoemena ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Cross Sectional Study ◽  
Medication Nonadherence ◽  
Cross Sectional ◽  
Tuberculosis Patients ◽  
North West ◽  
Short Course ◽  
Directly Observed Treatment

Introduction: Tuberculosis is a public health problem in Nigeria. One of the most effective ways of controlling tuberculosis is the directly observed treatment short-course. However, some factors influence tuberculosis patients’ treatment nonadherence via directly observed treatment short-course. The study objective was to assess medication nonadherence and associated factors among tuberculosis patients in north-west Nigeria. Methods: A cross-sectional study enrolled tuberculosis patients using directly observed treatment short-course in public health facilities in Kano and Kaduna States from January 2015 to June 2016. The sample selection was conducted via a multistage sampling procedure. Data were collected using tuberculosis patients’ demographic and clinical characteristics forms, well-validated structured instruments, and medical records. SPSS version 20 was used for data analysis. Logistic and multivariable logistic regression analyses to determine factors of medication nonadherence ( P < 0.05) Results: Complete responses from 390 patients out of the 460 patients recruited for the study were used for data analyses. The mean age was 51.5 (standard deviation = ±13.8) years. The mean tuberculosis medication adherence questionnaire score was 4.35 ± 1.12. The prevalence of nonadherence to tuberculosis medication was 30.5%. Multivariable logistic regression analysis showed that having a monthly income between #100,000 and #199, 000 (adjusted odds ratio = 0.01; 95% confidence interval: 0.00–0.13), being widowed (adjusted odds ratio = 26.74, 95% confidence interval: 2.92–232.9), being married (adjusted odds ratio = 120.49, 95% confidence interval: 5.38–271.1), having a distance <5 km to directly observed treatment short-course center from home (adjusted odds ratio = 0.06, 95% confidence interval: 0.00–0.01), having a tuberculosis/HIV co-infection (adjusted odds ratio = 0.01, 95% confidence interval: 0.12–0.35), use of antiretroviral treatment and cotrimoxazole prophylaxis therapy medications (adjusted odds ratio = 24.9, 95% confidence interval: 19.6–304.3) were associated with tuberculosis medication nonadherence. Conclusion: Tuberculosis medication nonadherence was high among the patients. Thus, patient-specific adherence education, attenuation of potential factors for tuberculosis medication nonadherence, and continual resource support for tuberculosis patients are needed to improve treatment outcomes.

scholarly journals Effect of Medication Nonadherence on Hospitalization and Mortality Among Patients With Diabetes Mellitus

2006 ◽  
Vol 166 (17) ◽  
pp. 1836 ◽  
Author(s):  
P. Michael Ho ◽  
John S. Rumsfeld ◽  
Frederick A. Masoudi ◽  
David L. McClure ◽  
Mary E. Plomondon ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Medication Nonadherence ◽  
Patients With Diabetes

Risk Factors Associated With Antihypertensive Medication Nonadherence in a Statewide Medicaid Population

2014 ◽  
Vol 348 (5) ◽  
pp. 410-415 ◽  
Author(s):  
James E. Bailey ◽  
Mohammed Hajjar ◽  
Bushra Shoib ◽  
Jun Tang ◽  
Mario M. Ray ◽  
...  
Keyword(s):  
Risk Factors ◽  
Antihypertensive Medication ◽  
Medication Nonadherence ◽  
Factors Associated ◽  
Medicaid Population

scholarly journals Depression and medication nonadherence in childhood-onset systemic lupus erythematosus

Lupus ◽  
2018 ◽  
Vol 27 (9) ◽  
pp. 1532-1541 ◽  
Author(s):  
A M Davis ◽  
T B Graham ◽  
Y Zhu ◽  
M L McPheeters
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Medication Adherence ◽  
Lupus Erythematosus ◽  
Depression Symptoms ◽  
Childhood Onset ◽  
Systemic Lupus ◽  
Medication Nonadherence ◽  
Disease Characteristics ◽  
Prevalence Of Depression ◽  
Onset Systemic Lupus Erythematosus

Objectives Depression and medication nonadherence are important in managing chronic diseases, but little is known about these factors in childhood-onset systemic lupus erythematosus (cSLE). The objectives of this cross-sectional study were to estimate prevalence of depression and medication nonadherence, describe demographic and disease characteristics associated with depression and medication nonadherence, and evaluate the association between depression and medication nonadherence in cSLE patients. Methods Patients with cSLE ( n = 51) completed validated screening questionnaires to identify depression and medication nonadherence, Patient Health Questionnaire-9 and Medication Adherence Self-Report Inventory, respectively. Demographic and disease characteristics were obtained via chart abstraction, and compared between groups of depression or medication nonadherence status. A multivariable linear regression model adjusting for propensity scores was conducted to evaluate the association between depression and medication nonadherence. Results The prevalence of a positive depression screen was 58.8%, and seven patients reported suicidal ideation (13.7%). The prevalence of self-reported medication nonadherence was 19.7%. No statistically significant differences for demographic and disease characteristics were found between patients with a positive vs. negative depression screen. Patients reporting medication nonadherence were more likely to have longer disease duration (4.8 vs. 2.6 years, p = 0.035). As the severity of depression symptoms increased, the degree of medication nonadherence also increased (beta = –1.89; p = 0.011). Conclusions The prevalence of depression and medication nonadherence is high in cSLE, and these factors have a direct relationship. Interventions that better recognize and treat depression and increase rates of medication adherence are needed to improve outcomes in cSLE.

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