Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 4

Chronic Illness Related Abstracts

4 Depressive Trends in Children and Adolescents Suffering from Beta-Thalassemia

Authors: Sanober Khanum, Barerah Siddiqui, Asim Qidwai

Abstract:

Objective: To determine the risk factors and frequency of depressive trends in children and adolescents suffering from Beta-Thalassemia. Background: Thalassemia is a chronic disease affecting 10,000 people in 60 countries. Many studies show that prolonged medical conditions cause depression. Due to the invasive procedures and suffering, Beta-Thalassemia cause great psychological distress to both children and their caregivers. The study shows 14-24% prevalence of psychiatric problems in Thalassemic patients. Method: Sample consisted of 195 registered patients of A.M.T.F (Female=95 and Male=100). Based on age range the sample was divided into two groups, Group A = children (4-9 years) and Group B = adolescent (10-16 years). A detailed interview with a self-made screening measure was administered on parents to find out the level of depression in patients. Statistics: Chi-square and t-test was applied in order to analyze the data. Results show high prevalence of depression, depression n= 131(66.83%), no depression n=65(33.16%). Analyses reflect that age influences the level of depression Adolescent (71.05%) and Children (64.16%). The analysis also shows a difference in level of depression between both genders. (t=2.975, p < .05). Conclusion: There is a high possibility of developing depressive trend in children affected with Beta Thalassemia; especially females. Therefore, there is a dire need for psychological screening and appropriate treatment in order to improve physical; as well as mental health.

Keywords: Psychopathology, Chronic Illness, Childhood Depression, Thalassemia

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3 Consumption Insurance against the Chronic Illness: Evidence from Thailand

Authors: Yuthapoom Thanakijborisut

Abstract:

This paper studies consumption insurance against the chronic illness in Thailand. The study estimates the impact of household consumption in the chronic illness on consumption growth. Chronic illness is the health care costs of a person or a household’s decision in treatment for the long term; the causes and effects of the household’s ability for smooth consumption. The chronic illnesses are measured in health status when at least one member within the household faces the chronic illness. The data used is from the Household Social Economic Panel Survey conducted during 2007 and 2012. The survey collected data from approximately 6,000 households from every province, both inside and outside municipal areas in Thailand. The study estimates the change in household consumption by using an ordinary least squares (OLS) regression model. The result shows that the members within the household facing the chronic illness would reduce the consumption by around 4%. This case indicates that consumption insurance in Thailand is quite sufficient against chronic illness.

Keywords: Health Care, Chronic Illness, Thailand, consumption insurance

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2 Chronically Ill Patient Satisfaction: An Indicator of Quality of Service Provided at Primary Health Care Settings in Alexandria

Authors: Alyaa Farouk Ibrahim, Gehan ElSayed, Ola Mamdouh, Nazek AbdelGhany

Abstract:

Background: Primary health care (PHC) can be considered the first contact between the patient and the health care system. It includes all the basic health care services to be provided to the community. Patient's satisfaction regarding health care has often improved the provision of care, also considered as one of the most important measures for evaluating the health care. Objective: This study aims to identify patient’s satisfaction with services provided at the primary health care settings in Alexandria. Setting: Seven primary health care settings representing the seven zones of Alexandria governorate were selected randomly and included in the study. Subjects: The study comprised 386 patients attended the previously selected settings at least twice before the time of the study. Tools: Two tools were utilized for data collection; sociodemographic characteristics and health status structured interview schedule and patient satisfaction scale. Reliability test for the scale was done using Cronbach's Alpha test, the result of the test ranged between 0.717 and 0.967. The overall satisfaction was computed and divided into high, medium, and low satisfaction. Results: Age of the studied sample ranged between 19 and 62 years, more than half (54.2%) of them aged 40 to less than 60 years. More than half (52.8%) of the patients included in the study were diabetics, 39.1% of them were hypertensive, 19.2% had cardiovascular diseases, the rest of the sample had tumor, liver diseases, and orthopedic/neurological disorders (6.5%, 5.2% & 3.2%, respectively). The vast majority of the study group mentioned high satisfaction with overall service cost, environmental conditions, medical staff attitude and health education given at the PHC settings (87.8%, 90.7%, 86.3% & 90.9%, respectively), however, medium satisfaction was mostly reported concerning medical checkup procedures, follow-up data and referral system (41.2%, 28.5% & 28.9%, respectively). Score level of patient satisfaction with health services provided at the assessed Primary health care settings proved to be significantly associated with patients’ social status (P=0.003, X²=14.2), occupation (P=0.011, X²=11.2), and monthly income (P=0.039, X²=6.50). In addition, a significant association was observed between score level of satisfaction and type of illness (P=0.007, X²=9.366), type of medication (P=0.014, X²=9.033), prior knowledge about the health center (P=0.050, X²=3.346), and highly significant with the administrative zone (P=0.001, X²=55.294). Conclusion: The current study revealed that overall service cost, environmental conditions, staff attitude and health education at the assessed primary health care settings gained high patient satisfaction level, while, medical checkup procedures, follow-up, and referral system caused a medium level of satisfaction among assessed patients. Nevertheless, social status, occupation, monthly income, type of illness, type of medication and administrative zones are all factors influencing patient satisfaction with services provided at the health facilities.

Keywords: Chronic Illness, patient satisfaction, quality of health service, quality of service indicators

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1 Self-Care Behavior and Performance Level Associated with Algerian Chronically Ill Patients

Authors: S. Aberkane, N. Djabali, S. Fafi, A. Baghezza

Abstract:

Chronic illnesses affect many Algerians. It is possible to investigate the impact of illness representations and coping on quality of life and whether illness representations are indirectly associated with quality of life through their influence on coping. This study aims at investigating the relationship between illness perception, coping strategies and quality of life with chronic illness. Illness perceptions are indirectly associated with the quality of life through their influence on coping mediation. A sample of 316 participants with chronic illness living in the region of Batna, Algeria, has been adopted in this study. A correlation statistical analysis is used to determine the relationship between illness perception, coping strategies, and quality of life. Multiple regression analysis was employed to highlight the predictive ability of the dimensions of illness perception and coping strategies on the dependent variables of quality of life, where mediation analysis is considered in the exploration of the indirect effect significance of the mediator. This study provides insights about the relationship between illness perception, coping strategies and quality of life in the considered sample (r = 0.39, p < 0.01). Therefore, it proves that there is an effect of illness identity perception, external and medical attributions related to emotional role, physical functioning, and mental health perceived, and these were fully mediated by the asking for assistance (c’= 0.04, p < 0.05), the guarding (c’= 0.00, p < 0.05), and the task persistence strategy (c’= 0.05, p < 0.05). The findings imply partial support for the common-sense model of illness representations in a chronic illness population. Directions for future research are highlighted, as well as implications for psychotherapeutic interventions which target unhelpful beliefs and maladaptive coping strategies (e.g., cognitive behavioral therapy).

Keywords: Quality of Life, Coping, Chronic Illness, illness perception, self- regulation model

Procedia PDF Downloads 64