scholarly journals Behavioral predictors of medication adherence trajectories among youth with newly diagnosed epilepsy

2015 ◽  
Vol 50 ◽  
pp. 103-107 ◽  
Author(s):  
Kristin Loiselle ◽  
Joseph R. Rausch ◽  
Avani C. Modi
Keyword(s):  
Medication Adherence ◽  
Newly Diagnosed ◽  
Behavioral Predictors

scholarly journals Clinical impact of medication adherence on 10‐year cardio‐cerebrovascular mortality in newly diagnosed hypertensive patients

2021 ◽  
Author(s):  
Cho‐Long Kim ◽  
Yoon‐Sung Do ◽  
Byung‐Jun Kim ◽  
Kyeong‐Soo Lee ◽  
Min‐Ah Nah ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Clinical Impact ◽  
Newly Diagnosed ◽  
Hypertensive Patients

scholarly journals Predictors of treatment failure during the first year in newly diagnosed type 2 diabetes patients: a retrospective, observational study

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11005
Author(s):  
Hon-Ke Sia ◽  
Chew-Teng Kor ◽  
Shih-Te Tu ◽  
Pei-Yung Liao ◽  
Yu-Chia Chang
Keyword(s):  
Type 2 Diabetes ◽  
Medication Adherence ◽  
Glycemic Control ◽  
Treatment Failure ◽  
First Year ◽  
Regular Exercise ◽  
Newly Diagnosed ◽  
Baseline Hba1c ◽  
Diabetes Patients

Background Diabetes patients who fail to achieve early glycemic control may increase the future risk of complications and mortality. The aim of the study was to identify factors that predict treatment failure (TF) during the first year in adults with newly diagnosed type 2 diabetes mellitus (T2DM). Methods This retrospective cohort study conducted at a medical center in Taiwan enrolled 4,282 eligible patients with newly diagnosed T2DM between 2002 and 2017. Data were collected from electronic medical records. TF was defined as the HbA1c value >7% at the end of 1-year observation. A subgroup analysis of 2,392 patients with baseline HbA1c ≥8% was performed. Multivariable logistic regression analysis using backward elimination was applied to establish prediction models. Results Of all study participants, 1,439 (33.6%) were classified as TF during the first year. For every 1% increase in baseline HbA1c, the risk of TF was 1.17 (95% CI 1.15–1.20) times higher. Patients with baseline HbA1c ≥8% had a higher rate of TF than those with HbA1c <8% (42.0 vs 23.0%, p < 0.001). Medication adherence, self-monitoring of blood glucose (SMBG), regular exercise, gender (men), non-insulin treatment, and enrollment during 2010–2017 predicted a significant lower risk of TF in both of the primary and subgroup models. Conclusions Newly diagnosed diabetes patients with baseline HbA1c ≥8% did have a much higher rate of TF during the first year. Subgroup analysis for them highlights the important predictors of TF, including medication adherence, performing SMBG, regular exercise, and gender, in achieving glycemic control.

scholarly journals The effects of family, society and national policy support on treatment adherence among newly diagnosed tuberculosis patients: a cross-sectional study

2020 ◽  
Author(s):  
Xu Chen ◽  
Liang Du ◽  
Ruiheng Wu ◽  
Jia Xu ◽  
Haoqiang Ji ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Treatment Adherence ◽  
Family Members ◽  
National Policy ◽  
Policy Support ◽  
Patient Relationship ◽  
Newly Diagnosed ◽  
Cross Sectional ◽  
Good Doctor ◽  
Tb Treatment

Abstract Background Non-adherence to tuberculosis (TB) treatment is the most important cause of poor TB outcomes, and improving support for TB patients is a primary priority for governments, but there has been little research on the effects of family, social and national policy support factors on TB treatment adherence. The current study evaluated treatment adherence among newly diagnosed TB patients in Dalian, north-eastern China, and determined the effects of family, society, and national policy support factors on treatment adherence. Methods A cross-sectional survey was conducted among newly diagnosed TB patients treated at the outpatient department of Dalian Tuberculosis Hospital from September 2019 to January 2020. Data were collected using a questionnaire that measured medication adherence, family support, social support, and national policy support and so on. Differences between groups were assessed using Chi-square tests and Fisher’s exact tests. Ordinal logistic regression analysis was used to determine the predictors of adherence. Results A total of 481 newly diagnosed TB patients were recruited, of whom 45.7% had good adherence, and 27.4% and 26.8% had moderate and low adherence, respectively. Patients who had family members who frequently supervised medication (OR:0.34, 95% CI:0.16-0.70), family members who often provided spiritual encouragement (OR:0.13, 95% CI:0.02-0.72), a good doctor-patient relationship (OR:0.61, 95% CI:0.40-0.93), more TB-related knowledge (OR:0.49, 95% CI:0.33-0.72) and a high need for TB treatment policy support (OR:0.38, 95% CI:0.22-0.66) had satisfactory medication adherence. However, patients who had a college degree or higher (OR:1.69, 95% CI:1.04-2.74) and who suffered adverse drug reactions (OR:1.45, 95% CI:1.00-2.11) were more likely to have lower adherence. Conclusions Our findings suggested that non-adherence was high in newly diagnosed TB patients. Patients who had family members who frequently supervised medication and provided spiritual encouragement and a good doctor-patient relationship and TB-related knowledge and a high need for policy support contributed to high adherence. It is recommended to strengthen medical staff training and patient and family health education and to increase financial support for improving adherence.

Assessment of Health Related Quality of Life, Health Status and Medication Adherence among Patients with Rheumatoid Arthritis in Pakistan

2019 ◽  
Author(s):  
Madeeha Malik
Keyword(s):  
Quality Of Life ◽  
Rheumatoid Arthritis ◽  
Medication Adherence ◽  
Newly Diagnosed ◽  
Health Related Quality ◽  
Moderate Severity ◽  
Severity Of Disease ◽  
Related Quality ◽  
Health Related

Objectives: The aim of the present study is to assess the medication adherence, health status and health related quality of life among rheumatoid arthritis patients in Rawalpindi and Islamabad Patients and Methods: A descriptive cross-sectional study design was used. Pre-validated questionnaires Short Form Survey (SF-36) and Euroqol EQ-5L for health related quality of life and drug attitude inventory (DAI-10), morisky medication adherence scale (MMAS), medication adherence rating scale (MARS) for measure medication adherence was used. Self-reported questionnaire was distributed to a sample of 382 respondents calculated by using Raosoft and selected by convenience sampling technique. After data collection, data was coded and analyzed statistically. Results: The results of the present study highlighted that respondents in age group 36-45 years had overall better HRQoL with mean scores Physical Functioning (25.30, ± 4.44), Role Physical (6.21, ± 1.67), Bodily Pain (5.30, ± 1.50), General Health (13.94, ± 1.70), Vitality (20.75, ± 2.62), Role Emotional (17.56, ± 2.38) and Emotional Health (4.54, ± 1.50). Forty four percent (n=168) respondents agreed that sometimes they face difficulty in remembering to take all their medication. Conclusion: The current study concluded that health related quality of life among rheumatoid arthritis patients was good and medication adherence among rheumatoid arthritis patients was moderate in twin cities of Pakistan. Males and newly diagnosed patients with mild to moderate severity of disease had better health related quality of life (HRQoL). Patients treated with disease-modifying antirheumatic drugs (DMARDs) had good scores in all domains of HRQoL as compared to patients treated with non-steroidal anti-inflammatory drugs (NSAIDs). However, medication adherence was found better among females, newly diagnosed patients and with moderate severity of disease.

scholarly journals The effects of family, society and national policy support on treatment adherence among newly diagnosed tuberculosis patients: a cross-sectional study

2020 ◽  
Author(s):  
Xu Chen ◽  
Liang Du ◽  
Ruiheng Wu ◽  
Jia Xu ◽  
Haoqiang Ji ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Treatment Adherence ◽  
Family Members ◽  
National Policy ◽  
Policy Support ◽  
Patient Relationship ◽  
Newly Diagnosed ◽  
Cross Sectional ◽  
Good Doctor ◽  
Tb Treatment

Abstract Background: Non-adherence to tuberculosis (TB) treatment is the most important cause of poor TB treatment, and improving support for TB patients is a primary priority for governments, but there has been little research on the effects of family, social and national policy support factors on TB treatment adherence. The current study evaluated the treatment adherence of newly diagnosed TB patients in Dalian, northeast of China, and determined the effects of family, society, national policy support factors on treatment adherence. Methods: A cross-sectional survey was conducted among newly diagnosed TB patients treated at the outpatient department of Dalian Tuberculosis Hospital from September 2019 and January 2020. Data were collected using questionnaire that measured medication adherence, family support, social support, and national policy support and so on. Differences between groups were assessed using the chi-square test and Fisher’s exact tests. Ordinal logistic regression analysis was used to determine the predictors of adherence. Results: A total of 481 newly diagnosed TB patients were recruited, of whom 45.7% had good adherence, and 27.4% and 26.8% had moderate and low adherence, respectively. Patients with family members' frequent supervision of medication (OR:0.34, 95% CI:0.16-0.71), family members' often spiritual encouragement(OR:0.14, 95% CI:0.03-0.80), good doctor-patient relationship (OR:0.58, 95% CI:0.38-0.88), more TB-related knowledge (OR:0.49, 95% CI:0.33-0.72) and high need for TB treatment policy support (OR:0.39, 95% CI:0.22-0.67) performed satisfactory medication adherence. However, patients with a college degree or higher (OR:1.78, 95% CI:1.10-2.88) were more likely to have a lower adherence.Conclusions: Our findings suggested that non-adherence was high in newly diagnosed TB patients. Family members' frequent supervision of medication and spiritual encouragement, good doctor-patient relationship and TB-related knowledge, high need for policy support contributed to high adherence. It is recommended to strengthen the training of medical staff and the health education of patients and their families, increase the financial support for improve adherence.

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