Introduction Despite efforts, tuberculosis (TB) remains a major public health problem in developing countries, and India alone accounts for most of the global TB cases. Although the treatment for TB is highly successful, a significant number of TB patients in India do not complete their assigned treatment. Social support has a key influence on medication adherence for chronic illnesses like diabetes, asthma, HIV, hypertension, cardiovascular diseases, and TB. However, limited research in India focuses on patients' perceived social support and its association with medication dose interruption among pulmonary TB patients. This study aims to fill this gap and examine the association between perceived social support and medication dose interruption among pulmonary TB patients in Western India. Methods A cross-sectional study was conducted at three directly observed treatment, short-course (DOTS) centers in Bhiwandi City, Maharashtra state, in Western India. A total of 477 participants were recruited, and data on participants' medication dose interruptions in the last month, their clinical characteristics, and their perceived social support were collected. Descriptive and inferential statistics were applied. Results Perceived social support presented a significant association with TB medication dose interruption. Participants who reported low social support were significantly 2.6 times more likely to miss their doses in the last month (adjusted odds ratio (aOR) = 2.6 (95% confidence interval (CI): 1.556-4.403), P < 0.001). Participants who reported low family support were significantly 4.1 times more likely to miss their doses when compared with the participants who reported high family support (aOR = 4.1 (95% CI: 2.482-7.070), P < 0.001). Among the participants who missed their doses one to five times in the last month, those who reported low social support were significantly 2.5 times more likely to miss their doses, when compared with the participants who reported high social support (aOR = 2.5 (95% CI: 1.318-4.810), P = 0.005). Likewise, among the group of participants who missed their doses six or more times in the last month, those who reported low social support were significantly 3.1 times more likely to miss their doses, when compared with the participants who reported high social support (aOR = 3.1 (95% CI: 1.452-6.744), P = 0.004). Conclusion The study results underscore the importance of integrating patient-centered strategies into healthcare systems, ensuring that they not only offer social protection but also recognize social support as a critical component of TB treatment. This study could potentially inform various healthcare policymakers in formulating such patient-centric and focused intervention strategies by involving social networks and family dynamics.
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http://dx.doi.org/10.7759/cureus.74507 | DOI Listing |
J Med Internet Res
January 2025
Behavioural and Implementation Science Group, School of Health Sciences, University of East Anglia, Norwich, United Kingdom.
Background: If the most evidence-based and effective smoking cessation apps are not selected by smokers wanting to quit, their potential to support cessation is limited.
Objective: This study sought to determine the attributes that influence smoking cessation app uptake and understand their relative importance to support future efforts to present evidence-based apps more effectively to maximize uptake.
Methods: Adult smokers from the United Kingdom were invited to participate in a discrete choice experiment.
J Med Internet Res
January 2025
School of Public Health, University of Haifa, Haifa, Israel.
Background: Increasing life expectancy has led to a rise in nursing home admissions, a context in which older adults often experience chronic physical and mental health conditions, chronic pain, and reduced well-being. Nonpharmacological approaches are especially important for managing older adults' chronic pain, mental health conditions (such as anxiety and depression), and overall well-being, including sensory stimulation (SS) and therapist support (TS). However, the combined effects of SS and TS have not been investigated.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Department of Neurology, University of Michigan Medical School, Ann Arbor, MI, USA.
Background: Previous reports suggest patient and caregiver lack of awareness of dementia. Little is known about how this varies by ethnicity and how informal (family) caregiver burden is associated with knowing a dementia diagnosis.
Objective: To investigate whether participants with probable dementia were aware of a diagnosis provided by a physician and how this differed among Mexican American and non-Hispanic White participants; whether having a primary care physician was associated with dementia diagnosis unawareness; and the association of dementia diagnosis unawareness with caregiver burden.
Support Care Cancer
January 2025
Department of Medical Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek, 1066 CX, Amsterdam, the Netherlands.
Purpose: Adolescent and young adult (AYA) malignant brain tumour (BT) survivors are at risk of adverse health outcomes, which may impact their health-related quality of life (HRQoL). This study aimed to investigate the (1) prevalence of physical and psychological adverse health outcomes, (2) the HRQoL, and (3) the association of adverse health outcomes and HRQoL among long-term AYA-BT survivors. Adverse health outcomes and HRQoL were compared to other AYA cancer (AYAC) survivors.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Environmental Health Sciences and Technology, Institute of Health, Jimma University, Jimma, Ethiopia.
Recycling excreta resources through resource-oriented toilet systems (ROTS) holds transformative potential, yet adoption remains limited, especially where benefits could be high. This study aims to understand constraints hindering the adoption of ROTS in one such area in Ethiopia. Based on a survey among 476 households comprising 2393 individuals, we examine the plans to use ROTS and willingness to pay for ROTS and apply structural equation modelling to analyze the drivers of these two outcomes while comparing the explanative power of the extended technology acceptance model, extended theory of planned behaviour, and their combined model.
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