Exploring risky health behaviors and vulnerability to sexually transmitted diseases among transnational undocumented labor migrants from Bangladesh: a qualitative study.

BACKGROUND: In Bangladesh, remittances constitute a substantial portion of the country's foreign exchange earnings and serve as a primary source of income. However, a considerable number of Bangladeshi citizens reside overseas without proper documentation, exposing them to significant challenges such as limited access to healthcare and socioeconomic opportunities. Moreover, their irregular migration status often results in engaging in risky health behaviors that further exacerbate their vulnerability. Hence, this study aimed to investigate the risky health behavior and HIV/STI susceptibility of Bangladeshi irregular international migrants residing across the globe with undocumented status. METHODS: Using a qualitative Interpretative Phenomenological Approach (IPA), 25 illegal migrants were interviewed who are currently living illegally or returned to their home country. The author used a thematic approach to code and analyze the data, combining an integrated data-driven inductive approach with a deductive approach. Concurrent processing and coding were facilitated by employing the Granheim model in data analysis. RESULTS: The study identified four risky health behaviors among irregular Bangladeshi migrants: hazardous living conditions, risky jobs, suicidal ideation, and tobacco consumption. Additionally, the authors found some HIV/STI risk behavior among them including engaging in unprotected sex, consuming alcohol and drugs during sexual activity, and having limited access to medical facilities. CONCLUSIONS: The findings of this study can be used by health professional, governments, policymakers, NGOs, and concerned agencies to develop welfare strategies and initiatives for vulnerable undocumented migrant workers.

Exploring multimorbidity clusters in relation to healthcare use and its impact on self-rated health among older people in India.

The conventional definition of multimorbidity may not address the complex treatment needs resulting from interactions between multiple conditions, impacting self-rated health (SRH). In India, there is limited research on healthcare use and SRH considering diverse disease combinations in individuals with multimorbidity. This study aims to identify multimorbidity clusters related to healthcare use and determine if it improves the self-rated health of individuals in different clusters. This study extracted information from cross-sectional data of the first wave of the Longitudinal Ageing Study in India (LASI), conducted in 2017-18. The study participants were 31,373 people aged ≥ 60 years. A total of nineteen chronic diseases were incorporated to identify the multimorbidity clusters using latent class analysis (LCA) in the study. Multivariable logistic regression was used to examine the association between identified clusters and healthcare use. A propensity score matching (PSM) analysis was utilised to further examine the health benefit (i.e., SRH) of using healthcare in each identified cluster. LCA analysis identified five different multimorbidity clusters: relatively healthy' (68.72%), 'metabolic disorder (16.26%), 'hypertension-gastrointestinal-musculoskeletal' (9.02%), 'hypertension-gastrointestinal' (4.07%), 'complex multimorbidity' (1.92%). Older people belonging to the complex multimorbidity [aOR:7.03, 95% CI: 3.54-13.96] and hypertension-gastrointestinal-musculoskeletal [aOR:3.27, 95% CI: 2.74-3.91] clusters were more likely to use healthcare. Using the nearest neighbor matching method, results from PSM analysis demonstrated that healthcare use was significantly associated with a decline in SRH across all multimorbidity clusters. Findings from this study highlight the importance of understanding multimorbidity clusters and their implications for healthcare utilization and patient well-being. Our findings support the creation of clinical practice guidelines (CPGs) focusing on a patient-centric approach to optimize multimorbidity management in older people. Additionally, finding suggest the urgency of inclusion of counseling and therapies for addressing well-being when treating patients with multimorbidity.