Pervasive systemic disparities: medical-related gaslighting, trauma, and distrust among LGBTQ+ people in the United States by Dustin Z. Nowaskie, Dehandra Blackwood, Frank Garcia

“…Likewise, LGBTQ+ people conveyed significantly less trust (ORs 0.46–0.53) in primary care providers (59.8% vs. 74.1%), medical specialists (56.5% vs. 71.7%), pharmaceutical companies (17% vs. 28%), insurance companies (15.9% vs. 29.3%), and U.S. healthcare systems (17.8% vs. 30.4%).DiscussionMedical-related gaslighting, trauma, and distrust are pervasive systemic disparities among LGBTQ+ people. …”
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Quantum secure patient login credential system using blockchain for electronic health record sharing framework by M. Natarajan, A. Bharathi, C. Sai Varun, Shitharth Selvarajan

“…In healthcare, BCT can help with mobile health apps, monitoring equipment, sharing and keeping of clinical trial data, electronic medical records, and insurance information storage. This study proposes a secure Patient Login Credential System (PLCS) for EHRS. …”
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<i>Ginkgo biloba</i> Extract Prescriptions Are Associated with Slower Progression of Dementia Severity—Analysis of Longitudinal Real-World Data by Jens Bohlken, André Hajek, Martin Burkart, Karel Kostev

“…The association between Gbe prescription and dementia severity progression was assessed by Kaplan–Meier analysis and Cox regression, with adjustments made for age, sex, health insurance status, physician specialty, co-prescription of antidementia drugs, and co-diagnoses. …”
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A mixed methods exploratory study assessing youth knowledge, self-efficacy and mental health outcomes in transition to adult healthcare by Jennifer G. Andrews, Rena Shifren, Richard Wahl, Wendy Parent-Johnson, Scott Klewer

“…Most considered it a single issue, such as aging out of insurance or leaving their pediatric specialist. Youth self-efficacy and life outlook declines in the late teens and early adulthood, exacerbating perceived inability to self-manage and gain independence. …”
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The Patronization of Pluvial Flood Risk and Adaptation Among Tenant-Owned Housing Associations in Sweden by Mattias Hjerpe, Erik Glaas, Sofie Storbjörk

“…The patronization of flood risk and responsibility for adaptation is attributed to several factors: underestimating risks and consequences, devaluing the benefit of one’s own adaptation actions, lacking knowledge about climate adaptation measures for buildings, and (overly) generous insurance terms. The findings confirm low adaptation action among housing associations, even those with recurring floods, which is concerning given the strong reliance on property-owner adaptation in national adaptation policy.…”
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ICU Admission, Invasive Mechanical Ventilation, and Mortality among Children and Adolescents Hospitalized for COVID-19 in a Private Healthcare System by Maria da Gloria Cruvinel Horta, Geraldo Jose Coelho Ribeiro, Nelson Otavio Beltrao Campos, Douglas Ribeiro de Oliveira, Lelia Maria de Almeida Carvalho, Karina de Castro Zocrato, Daniel Pitchon dos Reis, Mariana Ribeiro Fernandes, Ricardo Mesquita Camelo, Fernando Martin Biscione, Silvana Marcia Bruschi Kelles

“…We performed a search in the database of a large Brazilian private healthcare system. Insured people aged 21 years or younger who were hospitalized due to COVID-19 from Feb/28th/2020 to Nov/1st/2021 were included. …”
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Trends in prescribing sodium‐glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular‐renal disease in South Korea, 2015–2021 by Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim

“…Methods A cross‐sectional and retrospective cohort analysis of the Korean National Health Insurance database (2015–2021) assessed the prescription patterns of oral glucose‐lowering drugs by therapy level, SGLT2i prescriptions by cardiovascular‐renal disease (CVRD) status, and the mean duration for SGLT2i therapy initiation and intensification. …”
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Socioeconomic Assessment and Impact of Social Security on Outcome in Patients Admitted with Suspected Coronary Chest Pain in the City of Salta, Argentina by Ricardo A. León de la Fuente, Patrycja A. Naesgaard, Stein Tore Nilsen, Leik Woie, Torbjoern Aarsland, Harry Staines, Dennis W. T. Nilsen

“…Patients were divided into three socioeconomic classes based on monthly income, residential area, and insurance coverage. Five-year follow-up data were analyzed accordingly, applying univariate and multivariate analyses. …”
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Oral Health Status and Anxiety Level Amongst the Borderline Security Force Personnel and Their Family Members by Deepali Agarwal, Bharathi Purohit, Upendra Singh Bhadauria, Sneha Malhotra, Manali Deb Barma, Harsh Priya

“…Medical facilities are available to residents, offering direct oral care for minor procedures, with comprehensive dental treatments managed through empanelled clinics under a government insurance system. This study aimed to evaluate the oral health status, treatment needs, and prevalence of oral pre-malignant conditions among security forces personnel and their families at training centres in Delhi NCR. …”
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Rapid Acting Insulin Use and Persistence among Elderly Type 2 Diabetes Patients Adding RAI to Oral Antidiabetes Drug Regimens by Usha Sambamoorthi, Arijita Deb, Steve Zhou, Rahul Garg, Tao Fan, Anders Boss

“…Insulin-naïve patients aged ≥65 years, with ≥1 OAD prescription during the baseline period, who were continuously enrolled in the US Humana Medicare Advantage insurance plan for 18 months and initiated RAI were included. …”
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The Association of Food Security With Hypertensive Disorders of Pregnancy: A National Health Interview Survey Analysis by Brittany N. Burton, Alexis Sykes, Cecilia Canales, Andrea J. Ibarra, En Chang, Jonathan Dahan, Adam J. Milam, Tina Yu, Catherine Cha

“…The odds of hypertensive disorders of pregnancy were statistically significantly increased among women with low food security compared to women with high food security (odds ratio [OR] 2.40, 95% confidence interval [CI]: 1.19–4.81) after adjusting for age, race, ethnicity, insurance status, body mass index, hyperlipidemia, diabetes mellitus, and cardiovascular disease. …”
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Changes in public awareness of the social determinants of health over 15 years in Wisconsin, United States by Stephanie A. Robert, Amy Yinan Liu

“…Results: In both 2007 and 2023, the four most highly rated factors affecting health were: personal health practices, stress, health insurance, and access to affordable health care. Between 2007 and 2023, there was little or no increase, and even some decrease, in endorsement of many social determinants of health like income, education, housing, and social support. …”
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General obesity, abdominal obesity, and the risk of cardiovascular disease including stroke in 5-year breast cancer survivors by Ji Soo Kim, Jihun Song, Seulggie Choi, Sang Min Park

“…Methods: We undertook a retrospective cohort study using data from the National Health Insurance Service of South Korea. Among 72,174 5-year breast cancer survivors aged 40 years and above, body mass index (BMI) and waist circumference (WC) were used to determine obesity status. …”
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Digital healthcare services in community pharmacies in Switzerland: Pharmacist and patient acceptability, and pharmacist readiness–the Pneumoscope™ pilot study by Claudine Backes, Coralie Godot, Cédric Yan Gujer, Noémie Obegi, Alexandre Perez, Alain Gervaix, Marie P. Schneider

“…Conclusions Digital devices such as the Pneumoscope™ have the potential to reinforce the pharmacists’ clinical roles within an interprofessional team and improve patient care, but further scientific evaluation and implementation are necessary to support its integration and ensure its reimbursement by health insurers.…”
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Socioeconomic status correlates with clinical outcomes in patients with acral melanoma by Rong Huang, Jiayu Wang, Kelin Zheng, Mengke Zhao, Zhengyun Zou, Zhengyun Zou, Zhengyun Zou

“…Compared to individual socioeconomic factors such as education, occupation, medical insurance, and marital status, the socioeconomic level derived from these four dimensions accurately predicted patient survival. …”
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Patient Perspectives on Health Data Privacy and Management: “Where Is My Data and Whose Is It?” by Mart Wetzels, Eva Broers, Peter Peters, Loe Feijs, Jos Widdershoven, Mirela Habibovic

“…Patients indicated that they do not want to share their medical data with health insurance companies or the pharmaceutical industry. …”
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Examining the relationships between patients’ multimorbidity trajectories and prognostic outcomes after the initial hip fracture by Jessica Qiuhua Sheng, Da Xu, Paul Jen-Hwa Hu, Liang Li, Ting-Shuo Huang

“…From the National Health Insurance Research Database in Taiwan, we obtain a sample of 128,822 patients who suffered an initial hip fracture between 1996 and 2011. …”
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Drought risk management in agricultural sector with an emphasis on the socioeconomic dimension under Fuzzy Logic in the Sistan region by Zahra Sarani, Ali Sardar Shahraki, Mahdi Safdari

“…According to the farmers, the top priority option is crop insurance with a weight of 0.592163 whereas according to the experts, it is the low-water irrigation system with a weight of 0.637997.…”
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Does social support improve self-management among rural hypertensive patients? An empirical analysis based on generalized propensity score matching by Jiantao Li, Jingru Zhang, Yuxiao Wang, Hanwen Zhang, Yangyang Ma

“…., living alone or living with others), disease duration, family economic status, and decision-making power, and positive correlations with having a spouse and having medical insurance.ConclusionGreater emphasis should be placed on the older adult, individuals living alone, those without spouses, only children, economically disadvantaged populations, and uninsured individuals to enhance the social support they received and ultimately improve their self-management of hypertension. …”
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The Prevalence of Undiagnosed HIV Infection in Those Who Decline HIV Screening in an Urban Emergency Department by M. Czarnogorski, J. Brown, V. Lee, J. Oben, I. Kuo, R. Stern, G. Simon

“…Discarded blood samples were obtained from patients who had declined routine ED HIV testing. After insuring that the samples came from patients not known to be HIV positive, they were deidentified, and rapid HIV testing was preformed using 5 μL of whole blood. …”
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