Kualitas Hidup Pasien Tuberkulosis Paru yang Mengalami Stigma Diri (Quality of Life Pulmonary Tuberculosis Patients With Self Stigma))

2019 ◽  
Vol 3 (2) ◽  
pp. 17-27
Author(s):  
Yunita Sari

Pulmonary tuberculosis (TB) is a chronic disease that can bring about the sufferer's self-stigma and also affect his quality of life. A number of studies report that living with TB has a negative influence on the quality of life of sufferers even with or without self-stigma. The purpose of this study was to identify the quality of life of TB patients who experienced self-stigma. This research is a descriptive study, sample were 31 pulmonary TB patients. Data was collected using a questionnaire. Data analyzed by using frequency distribution and percentage. The researcher first screened TB patients who experienced self-stigma. The results showed that 25 people (80.64%) respondents experienced mild self-stigma. A total of 9 respondents (36%) had a quality of life score in the good category and as many as 16 respondents (64%) had enough category with an average quality of life score is 56.57. While respondents who had moderate self-stigma were 6 people (19.36%) with a good quality of life score was 1 person (16.67%) and enough category quality of life score were 5 people (83.33%) with an average quality of life score is 49.92.

2018 ◽  
Vol 2 (1) ◽  
pp. 29-38
Author(s):  
Melti Suriya

Quality of life is a person's perception and expectations of living standards, poor quality of life is often experienced by chronic diseases, especially pulmonary TB. Special Hospital Pulmonary Hospital West Sumatra is the number of visits pulmonary tuberculosis patients most in 2016 is 1016 people. The aim of research to determine the factors associated with pulmonary TB Patient Quality of Life in Lung Special Hospital West Sumatra Lubuk Alung. This type of research is analytic with cross sectional design. The population in this study were all pulmonary TB patients who seek treatment at Special Hospital Pulmonary West Sumatra. Data research collection was performed on 21 June to 21 July 2017 data was collected using a questionnaire. The sampling technique is simple random block sampling with a sample of 96 peolpe. Data was analyzed by univariate and bivariate with Chi-Square test. The study found that more than half (63.5%) continued treatment, more than half (66.7%) did not receive the support of the family, more than half (57.3%) experienced depression, more than half (62.5% ) quality of life of poor TB patients. There is a long-standing relationship with the treatment of pulmonary tuberculosis patients' life quality p value of 0.000 (p <0.05). There is a relationship of family support and quality of life of patients with pulmonary TB p value of 0.000 (p <0.05). There is a relationship of depression with quality of life of patients with pulmonary tuberculosis in the lungs Special Hospital West Sumatra Lubuk Alung  p value (p <0.05). Duration of treatment, family support and depression affect the quality of life of patients with TB. To improve the quality of life of TB patients need the support of family, treatment according to the rules and avoid depression in patients with TB so that TB patients will receive optimal health both physically and psychologically. It is expected that further research can continue this research with other factors that affect the quality of life of patients with TB.


2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Dhian Satya Rachmawati ◽  
Nursalam Nursalam ◽  
Rachmat Hargono ◽  
Bambang Widjanarko Otok

psychosocial problems that cause stress, such as loss of hope, sleep disorders and interruption in period of rest. Therefore, this study aims to analyze the Quality of Life (QoL) and Subjective Well-Being (SWB) of pulmonary TB patients and the affecting factors.Design and Methods: An analytical observational design with a cross sectional approach was used and a total of 73 respondents were randomly selected from 89 patients with pulmonary TB. Furthermore, a questionnaire was used as study instrument and data analysis was carried out using Partial Least Square.Results: The results showed that with the Partial Least Square Structural Equation Modeling (PLS-SEM) approach, the SWB and QoL models are fit models based on R2, Q2 values. Furthermore, patient characteristics, patient factors and family factors influence subjective well-being (SWB) and quality of life (QoL). Meanwhile, the dominant influence on SWB was the patient factor, while on QoL it was the family factor.Conclusion: This model will be the basis for further studies on how to care for pulmonary tuberculosis patients and their families in order to improve the quality of life and patient acceptance of their sick conditions.


2013 ◽  
Vol 16 (3) ◽  
pp. A95-A96 ◽  
Author(s):  
J.A. Dujaili ◽  
A.Q. Blebil ◽  
A. Awaisu ◽  
J. Bredle ◽  
M.A. Dujaili ◽  
...  

2018 ◽  
Vol 27 (12) ◽  
pp. 3137-3143 ◽  
Author(s):  
Saniya Saleem ◽  
Amyn A. Malik ◽  
Asma Ghulam ◽  
Junaid Ahmed ◽  
Hamidah Hussain

2020 ◽  
Vol 3 (3) ◽  
pp. 1-14
Author(s):  
Pariyana Pariyana ◽  
Iche Andriyani Liberty ◽  
Muhammad Aziz

Study of Social Support and Factors Affecting EffortsImproving the Quality of Life for Patients with LungTuberculosis.Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis. Decreasein the quality of life of tuberculosis patients can have a negative impact on the continuity of therapy which causes failureof therapy. The quality of life of pulmonary TB patients is important to be assessed in various aspects ranging from theaspects of physical well-being, psychology, social and environmental relations. The purpose of this study was to examinesocial support and influencing factors influencing efforts to improve the quality of life of pulmonary TB patients. This typeof research is observational research using cross sectional design. The study population was all pulmonary tuberculosispatients in Palembang City. This study received a total sample of 111 people. The quality of life was measured by theIndonesian WHOQOL-BREFF questionare instrument and the results were obtained by univariate, bivariate, andmultivariate analysis using the SPSS 22 program. Of the 111 study respondents, a good percentage of the quality of lifeof tuberculosis patients in Palembang City Health Center was 71.17% and the not good at 28.83%. There was nosignificant relationship between demographic characteristics (age, sex, body mass index, education level, employmentstatus, and marital status), blood pressure, history of diabetes, and history of smoking with quality of life. There is asignificant relationship between treatment duration. family support. friend support. and community support with thequality of life of tuberculosis patients (p value <0.05). Patients with tuberculosis with poor family support have theopportunity to have a poor quality of life of 86.18%.


2021 ◽  
pp. 19-21
Author(s):  
Bornali Gogoi ◽  
Monika Kalita

According to Global Cancer Observatory (GLOBOCAN) (17 Dec. 2020)- there are 19.3 million new cancer cases and almost 10 million deaths. Worldwide according to Global cancer statistics; 2018 head and neck cancer accounts for more than 6, 50,000 cases and 3, 3,000 deaths annually. According to Indian Council of Medical Research, ICMR (2020) there were about 13.9 lakhs cancer cases, which is likely to increase to 15.7 lakhs by 2025, based on current trends. According to ICMR- National Centre for Disease Informatics and Research NCDIR (2020) the number of cancer cases in the northeast was 50,317 (27,503 in males and 22,814 in females) and is estimated set to increase to 57,131 by 2025 (13.5%). According to a report from National Cancer Registry Programme, India (2020); the majority of the patients for head and neck cancer patients were estimated to be 66.6%. Cancer is a one of the major public health problem both in developed and developing countries around the globe. Quality-Of-Life (QOL) of a cancer patient before and after the treatment is an important issue especially for the cancer survivors, their families, and the care providers. Aim:The aim of the study was to assess the quality of life among cancer patients in selected hospitals, Guwahati, Assam. Methods and materials: A quantitative descriptive study was conducted to identify the quality of life among cancer patients in selected hospitals, Guwahati, in order to accomplish the objectives of the study. Purposive sampling technique was used for obtaining the adequate sample for the study. The conceptual framework used in the study was based on ferrans and powers quality of life mode. Study was undertaken on 100 head and neck cancer patients in selected hospitals of Guwahati, Assam. Participants were selected on the basis of inclusion and exclusion criteria. Quality Of Life was assessed by distributing the structured tool to the respondent. Results: Data analysis was done by calculating mean, SD and chi-square test. It was found that out of 100 respondents majority 62 (62%) of the respondents were in the age groups above 50 years, 62 (62%) of the respondents were in the age groups above 50 years, 71 (71%) of the respondents were male, 64 (64%) of the respondents were married, 38 (38%) of the respondents had monthly income Rs 10,002- Rs 29,972, 65 (65%) of the respondents belongs to joint family, 56 (56%) of the respondents were Hindu, 60 (60%) of the respondents completed primary school, 39 (39%) of the respondents were diagnosed with Ca oral, 34 (34%) of the respondents were in stage 3, 53 (53%) of the respondents had a duration of >5 years, 48 (48%) of the respondents had undergone chemotherapy. In assessing the Quality Of Life it reveals that out of 100 respondents, majority i.e. 76 (76%) of respondents had average Quality Of Life .The demographic variables marital status, average monthly family income, staging of disease and duration of illness had shown statistically signicant association with level of Quality Of Life. The QOLDemographic Variables age, gender, type of family, religion, education, diagnosis and type of treatment had not shown statistically signicant association with level of quality of life among cancer patients. Conclusion:Through this study, the investigator concluded that majority of the head and neck cancer patients had average Quality Of Life.


2020 ◽  
Vol 6 (3) ◽  
pp. 00083-2020
Author(s):  
Pau Benito ◽  
Sergo Vashakidze ◽  
Shota Gogishvili ◽  
Keti Nikolaishvili ◽  
Albert Despuig ◽  
...  

This study aimed to determine the health-related quality of life (HRQoL) of patients with pulmonary tuberculosis (TB) and to assess its change after a therapeutic surgical procedure. In this scenario, the purpose was to elucidate and quantify the effect of various demographic, epidemiological, clinical, surgical and psychosocial details on this variable.A prospective cohort of 40 patients undergoing therapeutic surgery for pulmonary TB (Study of Human Tuberculosis Lesions (SH-TBL) cohort) was recruited in Tbilisi, Georgia, between 2016 and 2018. HRQoL was assessed by administering the St George's Respiratory Questionnaire (SGRQ) and a novel psychosocial questionnaire, the BCN-Q, both at baseline and at 6 months post-surgery.A statistically and clinically significant improvement in the SGRQ total score was observed at follow-up, although it did not reach the values found for the healthy population. The differences between time points were statistically significant for the following groups: women, age <40 years, body mass index ≥20 kg·m−2, nonsmokers, drug-susceptible and drug-resistant participants, both new and relapsed patients, early culture negativisation, cases with a single lesion, either lesions <35 mm or ≥35 mm, and lesion, lobe and lung resections.The analysis of BCN-Q together with the SGRQ showed that several of its items, such as marital status, living conditions, nutrition, employment, external support, certain attitudes towards the healthcare system, emotional burden and sleep troubles, can impact HRQoL.These results highlight the benefit of adjuvant therapeutic surgery for pulmonary TB in selected patients in terms of HRQoL and suggest that a comprehensive approach including demographic, epidemiological, clinical and psychosocial variables may more accurately predict TB evolution and prognosis.


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