Mental Health Status and Its Associated Factors Related to Pulmonary Tuberculosis Patients in Primary Health Care Centre in Surabaya, Indonesia.

BACKGROUND: Mental disorders in TB patients are due to long-term treatment, drug side effects, and relapse. This study aimed to analyse the mental health status among TB patients and its associated factors. METHODS: The study was carried out on 107 Pulmonary TB patients from 5 Primary Healthcare centres in Surabaya, Indonesia. Furthermore, Mental Health Inventory (MHI-18) was used to measure the mental health status. The MHI-18 has four subscales including, anxiety, depression, behaviour control, and positive affection. In addition, the score range of MHI and its subscales is 0-100, where the higher score showed a better mental health status. RESULTS: The results showed no difference in the score of mental health status, anxiety, depression, and positive affect in all factors. However, behaviour control depicted a significant difference between sex and marital status. In conclusion, mental health problems can occur in all TB patients irrespective of their characteristics. CONCLUSION: Screening is required for the prevention of severe disease in the early treatment phase and various factors related to mental health should be considered during the implementation of TB management to optimize treatment outcomes.

Performance of village midwives in detecting neonatal emergency through self efficacy and work engagement as mediation: Cross-sectional study in Pamekasan Regency, Indonesia.

Backgrounds: The government's strategy in reducing the high infant mortality rate (IMR) in Indonesia is to place midwives in the village and use the Integrated Management of Young Infants (MTBM) guidelines that integrate all steps through early detection and effective treatment. Midwives have not shown maximum performance in neonatal coverage and neonatal complications, each of which has not reached the target. This study aims to analyze the effect of self-efficacy and work engagement on task performance in the Pamekasan Public Health Center Work Area. Designs and methods: This research was conducted as an analytic study with a cross-sectional study. A sample of 151 village midwives in each Puskesmas' working area, was then analyzed and interpreted to test the model with SEMPLS. Results: Directly self-efficacy has no effect on performance (t statistic 0.315 < 1.96; p-value 0.753 > 0.05), self-efficacy affects work engagement (t statistic 13.98 > 1.96; p-value 0.000 < 0.05), while work engagement has an effect on performance (t statistic 11.426 > 1.96; p-value 0.000 > 0.05). Indirectly, self-efficacy will affect performance if it is through work engagement (t statistic 7.392 > 1.96; p-value 0.000 > 0.05). Conclusion: The findings show that self-efficacy and work engagement can help improve the performance of village midwives in detecting neonatal emergencies.

Determinant factors for loss to follow-up in drug-resistant tuberculosis patients: the importance of psycho-social and economic aspects.

BACKGROUND: Drug-resistant tuberculosis (DR-TB) is the barrier for global TB elimination efforts with a lower treatment success rate. Loss to follow-up (LTFU) in DR-TB is a serious problem, causes mortality and morbidity for patients, and leads to wide spreading of DR-TB to their family and the wider community, as well as wasting health resources. Prevention and management of LTFU is crucial to reduce mortality, prevent further spread of DR-TB, and inhibit the development and transmission of more extensively drug-resistant strains of bacteria. A study about the factors associated with loss to follow-up is needed to develop appropriate strategies to prevent DR-TB patients become loss to follow-up. This study was conducted to identify the factors correlated with loss to follow-up in DR-TB patients, using questionnaires from the point of view of patients. METHODS: An observational study with a cross-sectional design was conducted. Study subjects were all DR-TB patients who have declared as treatment success and loss to follow-up from DR-TB treatment. A structured questionnaire was used to collect information by interviewing the subjects as respondents. Obtained data were analyzed potential factors correlated with loss to follow-up in DR-TB patients. RESULTS: A total of 280 subjects were included in this study. Sex, working status, income, and body mass index showed a significant difference between treatment success and loss to follow-up DR-TB patients with p-value of 0.013, 0.010, 0.007, and 0.006, respectively. In regression analysis, factors correlated with increased LTFU were negative attitude towards treatment (OR = 1.2; 95% CI = 1.1-1.3), limitation of social support (OR = 1.1; 95% CI = 1.0-1.2), dissatisfaction with health service (OR = 2.1; 95% CI = 1.5-3.0)), and limitation of economic status (OR = 1.1; 95% CI = 1.0-1.2)). CONCLUSIONS: Male patients, jobless, non-regular employee, lower income, and underweight BMI were found in higher proportion in LTFU patients. Negative attitude towards treatment, limitation of social support, dissatisfaction with health service, and limitation of economic status are factors correlated with increased LTFU in DR-TB patients. Non-compliance to treatment is complex, we suggest that the involvement and support from the combination of health ministry, labor and employment ministry, and social ministry may help to resolve the complex problems of LTFU in DR-TB patients.

Factors Affecting Tuberculosis Patients' Quality of Life in Surabaya, Indonesia.

PURPOSE: Patients with tuberculosis need to religiously take medication daily. However, they experience several side effects from these medications. The main reason for measuring the quality of life is to explain closely related factors that affect the patient's daily life that have been compromised with illness, while considering a patients' well-being that has associations with individual characteristics. PATIENTS AND METHODS: This study included 157 patients with tuberculosis at 5 primary health-care centers and 2 hospitals in Surabaya. Quality of life is determined based on eight domains: general health, pain, social functioning, physical functioning, role limitation due to physical health, role limitation due to emotional problems, energy, and emotional well-being. The research instrument used to measure the quality of life is the RAND-36 Item Health Survey, whereas that used to measure mental distress is the Self-Reporting Questionnaire. RESULTS: Our study results show that, of the eight domains measuring the quality of life, only age exhibited a significant effect on general health (P = 0.018); sex did not significantly affect the quality of life in all domains. The level of education exhibited a significant effect only on role limitation due to emotional problems (P = 0.014). Mental distress demonstrated a significant effect on the quality of life in all domains. CONCLUSION: There are several factors affecting TB patients' quality of life. The study found that age, level of education, and comorbidity affect quality of life in several domains. However, mental distress affects quality of life in all domains.