scholarly journals Accounting for Clinical Action Reduces Estimates of Gender Disparities in Lipid Management for Diabetic Veterans

2013 ◽  
Vol 28 (S2) ◽  
pp. 529-535 ◽  
Author(s):  
Varsha G. Vimalananda ◽  
Donald R. Miller ◽  
Timothy P. Hofer ◽  
Robert G. Holleman ◽  
Mandi L. Klamerus ◽  
...  
2020 ◽  
Vol 44 (1) ◽  
pp. 88-96 ◽  
Author(s):  
Cassandra A. Bailey ◽  
Betsy E. Galicia ◽  
Kalin Z. Salinas ◽  
Melissa Briones ◽  
Sheila Hugo ◽  
...  

2018 ◽  
Vol 16 (4) ◽  
pp. 405-413 ◽  
Author(s):  
C. Vlachopoulos ◽  
G. Andrikopoulos ◽  
D. Terentes-Printzios ◽  
S. Tzeis ◽  
E. K. Iliodromitis ◽  
...  

2021 ◽  
Vol 77 (24) ◽  
pp. 3016-3027 ◽  
Author(s):  
Connie N. Hess ◽  
Christopher P. Cannon ◽  
Joshua A. Beckman ◽  
Philip P. Goodney ◽  
Manesh R. Patel ◽  
...  

Author(s):  
Erick Guerrero ◽  
Hortensia Amaro ◽  
Yinfei Kong ◽  
Tenie Khachikian ◽  
Jeanne C. Marsh

Abstract Background In the United States, the high dropout rate (75%) in opioid use disorder (OUD) treatment among women and racial/ethnic minorities calls for understanding factors that contribute to making progress in treatment. Whereas counseling and medication for OUD (MOUD, e.g. methadone, buprenorphine, naltrexone) is considered the gold standard of care in substance use disorder (SUD) treatment, many individuals with OUD receive either counseling or methadone-only services. This study evaluates gender disparities in treatment plan progress in methadone- compared to counseling-based programs in one of the largest SUD treatment systems in the United States. Methods Multi-year and multi-level (treatment program and client-level) data were analyzed using the Integrated Substance Abuse Treatment to Eliminate Disparities (iSATed) dataset collected in Los Angeles County, California. The sample consisted of 4 waves: 2011 (66 SUD programs, 1035 clients), 2013 (77 SUD programs, 3686 clients), 2015 (75 SUD programs, 4626 clients), and 2017 (69 SUD programs, 4106 clients). We conducted two multi-level negative binomial regressions, one per each outcome (1) making progress towards completing treatment plan, and (2) completing treatment plan. We included outpatient clients discharged on each of the years of the study (over 95% of all clients) and accounted for demographics, wave, homelessness and prior treatment episodes, as well as clients clustered within programs. Results We detected gender differences in two treatment outcomes (progress and completion) considering two outpatient program service types (MOUD-methadone vs. counseling). Clients who received methadone vs. counseling had lower odds of completing their treatment plan (OR = 0.366; 95% CI = 0.163, 0.821). Female clients receiving methadone had lower odds of both making progress (OR = 0.668; 95% CI = 0.481, 0.929) and completing their treatment plan (OR = 0.666; 95% CI = 0.485, 0.916) compared to male clients and receiving counseling. Latina clients had lower odds of completing their treatment plan (OR = 0.617; 95% CI = 0.408, 0.934) compared with non-Latina clients. Conclusions Clients receiving methadone, the most common and highly effective MOUD in reducing opioid use, were less likely to make progress towards or complete their treatment plan than those receiving counseling. Women, and in particular those identified as Latinas, were least likely to benefit from methadone-based programs. These findings have implications for health policy and program design that consider the need for comprehensive and culturally responsive services in methadone-based programs to improve outpatient treatment outcomes among women.


2021 ◽  
Author(s):  
Pedro L. Cepas‐Guillen ◽  
Julio Echarte‐Morales ◽  
Eduardo Flores‐Umanzor ◽  
Andrea Fernandez‐Valledor ◽  
Guillem Caldentey ◽  
...  

2004 ◽  
Vol 23 (4) ◽  
pp. 345-353 ◽  
Author(s):  
René Martin ◽  
Catherine Lemos ◽  
Nan Rothrock ◽  
S. Beth Bellman ◽  
Daniel Russell ◽  
...  

2021 ◽  
Vol 35 (1) ◽  
pp. 45-50
Author(s):  
Mona El-Hout ◽  
Alexandra Garr-Schultz ◽  
Sapna Cheryan

Gender disparities in participation in many STEM fields, particularly computer science, engineering, and physics, remain prevalent in Western societies. Stewart-Williams and Halsey contend that an important contributor to these disparities is gender differences in career-related preferences that are driven partly by biology. We argue that Stewart-Williams and Halsey understate the influence of cultural factors in shaping these preferences. We provide evidence for an important and overlooked cultural factor that contributes to gender disparities in computer science, engineering, and physics: masculine defaults. Masculine defaults exist when cultures value and reward traits and characteristics associated with the male gender role and see them as standard ( Cheryan & Markus, 2020 ). We provide examples of how changing computer science, engineering, and physics cultures can decrease gender disparities in participation. Finally, we discuss policy implications, specifically the importance of (1) recognizing that preferences for STEM are malleable and (2) addressing exclusionary cultures of STEM fields. Recognizing and changing exclusionary STEM cultures are important for creating a society that is more just and equitable.


2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Hesham Salah El Din Taha ◽  
Hala Mahfouz Badran ◽  
Hossam Kandil ◽  
Nabil Farag ◽  
Abbas Oraby ◽  
...  

Abstract Background Numerous epidemiological investigations and randomized clinical studies have determined that dyslipidemia is a major contributor to atherosclerotic cardiovascular disease (ASCVD). Consequently, the management of serum cholesterol and low-density lipoprotein levels has become a central objective in the effort to prevent cardiovascular events. Main body Many guidelines were issued by different organizations and societies to define patient risk and establish important recommendations for management strategies. Newer cholesterol-lowering agents (non-statin drugs) are described, and their use is directed primarily to secondary prevention in patients at very high risk of new ASCVD. Conclusion The present guidance summarizes the current methods for risk estimation and outlines the most recent data on lipid management in a simple user-friendly format, to improve physician awareness and help implement guidelines in the daily practice.


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