scholarly journals Addressing Adherence to Treatment: A Longstanding Concern. The Health Care Professional

2014 ◽  
Vol 4 (3) ◽  
pp. 25-26
Author(s):  
Farrukh Shah
Keyword(s):  
Health Care ◽  
Life Expectancy ◽  
Iron Overload ◽  
Effective Treatment ◽  
Cardiac Failure ◽  
Short Paper ◽  
Thalassaemia Major ◽  
Adherence To Treatment ◽  
Related Factors ◽  
Adequate Provision

Today a patient born with thalassaemia major can expect to have a near normal life expectancy and remain free of complications of iron overload with good monitoring and excellent transfusion and chelation regimes. Unfortunately patients still develop complications as a consequence of iron overload including endocrinopathies and cardiac failure. The main reason behind this failure of effective treatment is inadequate treatment. This can be due to either clinician related factors, patient related factors or lack of adequate provision of medicines and services. In this short paper I will highlight where the challenges lie with regards adherence to treatment and suggest approaches to manage this.

scholarly journals Treatment adherence

2007 ◽  
Vol 13 (2) ◽  
pp. 5 ◽  
Author(s):  
M Y H Moosa ◽  
F Y Jeenah ◽  
N Kazadi
Keyword(s):  
Health Care ◽  
Treatment Adherence ◽  
Pill Count ◽  
Self Report ◽  
Adherence To Treatment ◽  
Unfavourable Outcome ◽  
Related Factors ◽  
Psychiatric Illnesses ◽  
Adequate Care ◽  
Physical Disorders

<p>Patients with psychiatric illnesses show a greater degree of non-adherence than those with physical disorders. Adherence to treatment may be assessed using biological measurements, clinician ratings, patient self-report, pill count, caregiver reports and side-effects of medication. Reasons cited for non-adherence include factors related to the treatment, patient-related factors, health care, and socio-economic circumstances. It is important not to make prejudicial predictions of non-adherence based on these factors, or the use non-adherence as an excuse to blame the patient for an unfavourable outcome. Rather, non-adherence should be seen not only as the patient’s inability to follow treatment recommendations but also as the health system's failure to provide adequate care and to meet the patient’s needs.</p>

scholarly journals Addressing Adherence to Treatment: A Longstanding Concern. The Patients’ Perspective

2014 ◽  
Vol 4 (3) ◽  
pp. 27-28
Author(s):  
Mahmoud Hadipour Dehshal
Keyword(s):  
Health Care ◽  
Care Delivery ◽  
Working Hours ◽  
Well Being ◽  
Point Of View ◽  
Inherited Disease ◽  
Treatment Team ◽  
Health Providers ◽  
Adherence To Treatment ◽  
Related Factors

Adherence to treatment is a great concern for patients who need long-life treatment. Thalassaemia is an inherited disease for whose treatment team-working is of a considerable importance. To logically face the problem of poor compliance patients, all members of the team ought to be aware of the causing factors and the ways to handle the problem. The factors which cause the lack of compliance among patients could be stratified into economic and structural facto. Furthermore, patient-related factors including ethnicity, gender, age, and regimen complexity such as dosing are also noteworthy. The supportive relationship between the health providers and the patients should be also established such as patients’ trust in their doctors. Last but not least, the pattern of health care delivery including the availability of health care requisites and operation of flexible hours and floating working hours. From the patients’ point of view, it is important to be aware of the significance of the adherence to treatment and the importance of providing prompt-routine reminders to patients to understand the consequence of incomplete treatment. Trained and motivated staffs play an effective role to enhance patients’ tendency to pursue the determined treatment. Health decision makers would be better to reinterpret the concept of health to “a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity”. The patients’ role in self-management should not be ignored and “medicalization” has to be altered by the patient centered care.

A Study On Impact Of Work Life Related Factors On Employee Engagement In Health Care Sector Workers In Dindigul District.

2019 ◽  
Vol 118 (7) ◽  
pp. 20-26
Author(s):  
S. JAYARAMAN ◽  
R. Sindhya ◽  
P. Vijiyalakshmi
Keyword(s):  
Health Care ◽  
Path Analysis ◽  
Employee Engagement ◽  
Health Care Workers ◽  
Health Care Sector ◽  
Work Life ◽  
Primary Data ◽  
Related Factors ◽  
Care Workers ◽  
The Impact

this research aims to find out the intensity of Employee Engagement of the health care sector workers and the relationship between the Work life factors and Employee Engagement of Health care sector workers in Dindigul District. Primary data were used in this research, were collected from 298 Health care workers from Dindigul District. Questionnaire was the major tool used to gather the primary data from the selected sample respondents. For this purpose, a well structured questionnaire was constructed with the help of professionals and the practiced employees of various health care units in Dindigul District. The health care employees were chosen by simple random sampling method. The investigative measures of regression Path analysis, and simple percentage analysis were utilized to find the impact of work life related factors with the Employee Engagement. The maximum Health care workers were generally satisfied with their jobs. The analytical procedure of path analysis multiple regressions was utilized to determine the predicting strength among Work life factors and the employee engagement. This study provides an another view about the importance of Work life factors and Employee engagement for organizational effectiveness and performance .

Strengthening of occupational health promotion by the German Prevention Health Care Act

2019 ◽  
pp. 188-190
Author(s):  
Diana Hart
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Promotion ◽  
Primary Prevention ◽  
Occupational Health ◽  
Life Expectancy ◽  
Prevention And Control ◽  
Occupational Health Promotion ◽  
And Control

All countries are faced with the problem of the prevention and control of non-communicable diseases (NCD): implement prevention strategies eff ectively, keep up the momentum with long term benefi ts at the individual and the population level, at the same time tackling hea lth inequalities. Th e aff ordability of therapy and care including innovative therapies is going to be one of the key public health priorities in the years to come. Germany has taken in the prevention and control of NCDs. Germany’s health system has a long history of guaranteeing access to high-quality treatment through universal health care coverage. Th r ough their membership people are entitled to prevention and care services maintaining and restoring their health as well as long term follow-up. Like in many other countries general life expectancy has been increasing steadily in Germany. Currently, the average life expectancy is 83 and 79 years in women and men, respectively. Th e other side of the coin is that population aging is strongly associated with a growing burden of disease from NCDs. Already over 70 percent of all deaths in Germany are caused by four disease entities: cardiovascular disease, cancer, chronic respiratory disease and diabetes. Th ese diseases all share four common risk factors: smoking, alcohol abuse, lack of physical activity and overweight. At the same time, more and more people become long term survivors of disease due to improved therapy and care. Th e German Government and public health decision makers are aware of the need for action and have responded by initiating and implementing a wide spectrum of activities. One instrument by strengthening primary prevention is the Prevention Health Care Act. Its overarching aim is to prevent NCDs before they can manifest themselves by strengthening primary prevention and health promotion in diff erent sett ings. One of the main emphasis of the Prevention Health Care Act is the occupational health promotion at the workplace.

Issues of co-financing of drug provision for the population: international and Russian practice

2020 ◽  
pp. 49-56
Author(s):  
Vasiliy Ryazhenov ◽  
Victoriya Andreyeva ◽  
Elena Zakharochkina
Keyword(s):  
Health Care ◽  
Life Expectancy ◽  
Health System ◽  
Health Care System ◽  
Russian Federation ◽  
High Quality ◽  
Russian President ◽  
The Russian Federation ◽  
Vladimir Putin ◽  
Drug Provision

Russian President Vladimir Putin defined increase in life expectancy from 72.7 to 78 years by 2024 as a national aim in the Decree № 204 of May 7, 2018. Achievement of this aim depends on drug provision system among other factors. Strategy of drug provision for the population of the Russian Federation for the period until 2025 sets the goal of increasing availability of high quality, effective and safe medicines to meet needs of the population and the health system based on the formation of a rational and balanced system of drug provision for the population of the country with available resources. The health care system should expand the possibilities of using modern and effective mechanisms to ensure the financing of drug provision for the population.

Iron Overload and Glucose Metabolism in Subjects with β-thalassaemia Major : An Overview

2013 ◽  
Vol 9 (4) ◽  
pp. 332-341 ◽  
Author(s):  
Vincenzo Sanctis ◽  
Ashraf Soliman ◽  
Mohamed Yassin
Keyword(s):  
Glucose Metabolism ◽  
Iron Overload ◽  
Thalassaemia Major

DIAGNOSTICS OF THE CURRENT STATE OF HEALTHCARE IN RUSSIA

2020 ◽  
Vol 15 (5) ◽  
pp. 35-55
Author(s):  
N.P. STARYKH ◽  
◽  
A.V. EGOROVA ◽  
Keyword(s):  
Health Care ◽  
Life Expectancy ◽  
Statistical Data ◽  
Secondary Analysis ◽  
World Health ◽  
Healthy Life Expectancy ◽  
Federal State ◽  
Sociological Research ◽  
Healthy Life ◽  
Current State

The purpose of the article is to analyze the current state of healthcare in Russia. Scientific novelty of the study: the authors suggest that the efficiency of the health care system depends on the state of such indicators of public health as life expectancy and healthy life expectancy. Life expectancy is an integrated demographic indicator that characterizes the number of years that a person would live on average, provided that the age-specific mortality rate of a generation would be at the level for which the indicator was calculated throughout life. The indicator ‘healthy life expectancy’ is formed by subtracting the number of years of unhealthy life (due to chronic diseases, disabilities, mental and behavioral disorders, etc.) from the life expectancy indicator. Results: the article presents an analysis of the current state of Russian healthcare based on statistical data provided by the Federal State Statistics Service, the World Health Organization, and world rankings. Attention is focused on the perceptions of Russians about the quality of medical services and Russian healthcare. Conclusions about the current state of health care in Russia are formulated by the authors, based on a secondary analysis of statistical data, as well as data from sociological research presented by leading Russian sociological centers.

scholarly journals Control of Glucose, Blood Pressure, and Cholesterol among Adults with Diabetes: The Brazilian National Health Survey

2021 ◽  
Vol 10 (15) ◽  
pp. 3428
Author(s):  
Rodrigo Citton P. dos Reis ◽  
Bruce B. Duncan ◽  
Célia Landmann Szwarcwald ◽  
Deborah Carvalho Malta ◽  
Maria Inês Schmidt
Keyword(s):  
Blood Pressure ◽  
National Health ◽  
Health Survey ◽  
Ldl Cholesterol ◽  
National Health Survey ◽  
Adherence To Treatment ◽  
Cvd Risk ◽  
Related Factors ◽  
Duration Of Diabetes ◽  
Basic Standards

ABC (glucose, blood pressure and LDL-cholesterol) goals are basic standards of diabetes care. We aimed to assess ABC control and related factors in a representative sample of Brazilian adults with diabetes. We analyzed 465 adults with known diabetes in the Brazilian National Health Survey. The targets used were <7% for glycated hemoglobin (A1C); <140/90 mmHg for blood pressure; and <100 mg/dL for LDL-C, with stricter targets for the latter two for those with high cardiovascular (CVD) risk. Individual goals were attained by 46% (95% CI, 40.3–51.6%) for A1C, 51.4% (95% CI, 45.7–57.1%) for blood pressure, and 40% (95% CI, 34.5–45.6%) for LDL-C. The achievement of all three goals was attained by 12.5% (95% CI, 8.9–16.2%). Those with high CVD risk attained blood pressure and LDL-C goals less frequently. A1C control improved with increasing age and worsened with greater duration of diabetes. Achievement of at least two ABC goals decreased with increasing BMI and greater duration of diabetes. In sum, about half of those with known diabetes achieved each ABC goal and only a small fraction achieved all three goals. Better access and adherence to treatment and strategies to personalize goals according to specific priorities are of the essence.

scholarly journals Comparison of prevalence and risk factors of somatization between Chinese health care workers and non-health care workers during COVID-19 outbreak

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiuli Song ◽  
Yongjie Zhou ◽  
Wenwang Rao ◽  
Xiangyang Zhang
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Health Care Workers ◽  
Online Survey ◽  
Medical Service ◽  
Multiple Logistic Regression Analysis ◽  
Related Factors ◽  
Dimension Score ◽  
Care Workers ◽  
High Prevalence

Abstract Background This study aimed to compare prevalence and risk factors of somatization (SOM) between health care workers and non-health care workers during COVID-19 outbreak in China. Methods From 14 February to 29 March 2020, an online survey was performed in both 605 health care workers and 1151 non-health care workers. Based on the somatization dimension score of the Symptom Checklist-90, participants were divided into non-SOM group and SOM group. Results Health care workers had higher prevalence rate of SOM (p < 0.001) than non-health care workers, with an OR of 1.70 (95% CI, 1.22–2.36, p = 0.002). Multiple logistic regression analysis revealed that in non-health care workers, the risk factors of SOM included other ethnicities, insomnia, and suicide, while in health care workers, the risk factors included working 6–8 h per day, and working ≥10 h per day during COVID-19 outbreak. Conclusions Our research suggests that both non-health care workers and health care workers have a relatively high prevalence of somatization. However, the related factors for somatization in both groups are significantly different, showing that medical service-related factors are associated with somatization in health care workers, while demographic and clinical factors are associated with somatization in non-health care workers.

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