This paper argues that a focus on the middle groups in a multi-dimensional socioeconomic ordering can provide valuable insights into how different axes of advantage and disadvantage intersect with each other. It develops the elements of a framework to analyse the middle groups through an intersectional analysis, and uses it to explore how such groups leverage economic class or gender advantages to secure entitlements to treatment for long-term illness. The study draws upon household survey data on health-seeking for long-term ailments from 60 villages of Koppal district, Karnataka (India). The survey was designed to capture gender, economic class, caste, age and life stage-based inequalities in access to health care during pregnancy and for short and long-term illnesses. There were striking similarities between two important middle groups--non-poor women and poor men--in some key outcomes: their rates of non-treatment when ill, treatment discontinuation and treatment continuation, and the amounts they spent for treatment. These two groups are the obverse of each other in terms of gender and economic class advantage and disadvantage. Non-poor women have an economic advantage and a gender disadvantage, while poor men have the exact opposite. However, despite the similarities in outcomes, the processes by which gender and class advantage were leveraged by each of the groups varied sharply. Similar patterns held for the poorest men except that the class disadvantage they had to overcome was greater, and the results are modified by this.
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http://dx.doi.org/10.1016/j.socscimed.2011.05.035 | DOI Listing |
Pharmaceuticals (Basel)
December 2024
Department "Pharmacology, Pharmacotherapy and Toxicology", Faculty of Pharmacy, Medical University of Sofia, 1000 Sofia, Bulgaria.
The present review provides a detailed and comprehensive discussion on antibody-drug conjugates (ADCs) as an evolving new modality in the current therapeutic landscape of malignant diseases. The principle concepts of targeted delivery of highly toxic agents forsaken as stand-alone drugs are examined in detail, along with the biochemical and technological tools for their successful implementation. An extensive analysis of ADCs' major components is conducted in parallel with their function and impact on the stability, efficacy, safety, and resistance profiles of the immunoconjugates.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
College of Animal Science, Tibet Agricultural and Animal Husbandry University, Nyingchi 860000, China.
is an important foodborne pathogen that can cause a range of illnesses in humans; it has also been a key focus for monitoring in the field of public health, including gastroenteritis, sepsis, and arthritis, and can also cause a decline in egg production in poultry and diarrhea and abortion in livestock, leading to death in severe cases, resulting in huge economic losses. This study aimed to investigate the isolation rate, antimicrobial resistance, serotypes, and genetic diversity of isolated from yak feces in various regions on the Qinghai-Tibet Plateau. A total of 1222 samples of yak dung were collected from major cities in the Qinghai-Tibet Plateau area, and the sensitivity of the isolated bacteria to 10 major classes of antibiotics was determined using the K-B paper disk diffusion method for drug susceptibility.
View Article and Find Full Text PDFHealth Res Policy Syst
January 2025
Department of Maternal and Child Health, University of North Carolina Chapel Hill School of Global Public Health, Chapel Hill, United States of America.
Background: Type 2 diabetes mellitus (T2D) remains a pressing public health concern. Despite advancements in antidiabetic medications, suboptimal medication adherence persists among many individuals with T2D, often due to the high cost of medications. To combat this issue, Blue Cross and Blue Shield of Louisiana (Blue Cross) introduced the $0 Drug Copay (ZDC) program, providing $0 copays for select drugs.
View Article and Find Full Text PDFJ Patient Rep Outcomes
January 2025
Department of Physical Medicine and Rehabilitation, University of Michigan, 1540 E. Hospital Dr, Ann Arbor, MI, 48109, USA.
Aims: This study aims to improve the interpretability and clinical utility of the COmprehensive Score for financial Toxicity-Functional Assessment of Chronic Illness Therapy (COST-FACIT) by identifying distinct financial toxicity classes in adults with diabetes.
Methods: Data included a sample of 600 adults with Type 1 or Type 2 diabetes and high A1c. Latent Class Analysis was used to identify subgroups of patients based on COST-FACIT score patterns.
Sci Rep
January 2025
College of Electrical and Information Engineering, Hunan Institute of Traffic Engineering, Hunan, Hengyang, 421001, China.
This study aims to explore the application value of big data technology (BDT) in enterprise information security (EIS). Its goal is to develop a risk prediction model based on big data analysis to enhance the information security protection capability of enterprises. A big data analysis system that can monitor and intelligently identify potential security risks in real-time is constructed by designing complex network analysis algorithms and machine learning models.
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