scholarly journals Riesgo de diabetes mellitus tipo 2 y sus determinantes

2022 ◽  
Vol 21 (1) ◽  
pp. 179-202
Author(s):  
Mariel Heredia ◽  
Esther Carlota Gallegos Cabriales
Keyword(s):  
Diabetes Mellitus ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Healthcare Providers ◽  
Determinants Of Health ◽  
Risk Indicators ◽  
Short Version ◽  
Cross Sectional ◽  
Factores De Riesgo

Objective: Describe the relationship between social determinants of health and risk of type 2 diabetes mellitus in Mexican population.Methods: This was a cross-sectional descriptive correlational study of a sample of 256 individuals from a rural community in Sinaloa, Mexico. Data collection was carried out from October 2020 to February 2021. A snowball non-probability sampling method was used. The Instruments used were the International Physical Activity Questionnaire (IPAQ), short version, the IPAQ-A for adults, the IPAQ-C for children, and a sociodemographic, anthropometric, and clinical data sheet.Results: The most frequent risk indicators for T2DM for adults are hypertension (81.7%) and overweight/obesity (68.6%); in children, it was overweight/obesity (34.9%). The risk of T2DM increased according to age (r = .560, p < .01) but decreased as education level increased (r = −.127, p < .05)Conclusions: The approach to T2DM risk factors from the perspective of social determinants of health allows strategic healthcare planning that considers the contextual factors associated with a lifestyle that reinforces the actions of healthcare providers. Objetivo: Describir la relación de los determinantes sociales de salud con el riesgo de DMT2 en población mexicana.Métodos: Estudio descriptivo correlacional transversal, con una muestra de 256 individuos de una comunidad rural de Sinaloa, México. La recolección de datos se realizó durante octubre de 2020 y febrero de 2021. El muestreo fue no probabilístico por bola de nieve. Los instrumentos utilizados fueron el cuestionario internacional de actividad física (IPAQ) versión corta, IPAQ-A, IPAQ-C y una hoja de registro datos sociodemográficos, antropométricos y clínicos.Resultados: Los indicadores de riesgo de DMT2 con mayor frecuencia para adultos fue padecer hipertensión arterial (81.7%) y SP/OB (68.6%) y para menores de edad fue tener SP/OB (34.9%). Resultó que el riesgo de DMT2 se acrecentaba según lo hacía la edad (r = .560, p < .01) pero disminuía al aumentar la escolaridad de las personas (r = -.127, p < .05).Conclusiones: El abordaje de factores de riesgo de DMT2 bajo la perspectiva de los DSS brinda la oportunidad de plantear estrategias de salud que contemplen factores contextuales simultáneos al estilo de vida que refuercen las acciones del personal de salud para contribuir a la reducción de los índices de morbimortalidad causados por la DMT2.

scholarly journals Integrating Social Determinants of Health to Precision Medicine through Digital Transformation: An Exploratory Roadmap

2021 ◽  
Vol 18 (9) ◽  
pp. 5018
Author(s):  
Ik-Whan G. Kwon ◽  
Sung-Ho Kim ◽  
David Martin
Keyword(s):  
Precision Medicine ◽  
Social Determinants Of Health ◽  
Population Health ◽  
Social Determinants ◽  
Information Technologies ◽  
Healthcare Delivery ◽  
Healthcare Providers ◽  
Determinants Of Health ◽  
Collaborative Tools ◽  
High Level

The COVID-19 pandemic has altered healthcare delivery platforms from traditional face-to-face formats to online care through digital tools. The healthcare industry saw a rapid adoption of digital collaborative tools to provide care to patients, regardless of where patients or clinicians were located, while mitigating the risk of exposure to the coronavirus. Information technologies now allow healthcare providers to continue a high level of care for their patients through virtual visits, and to collaborate with other providers in the networks. Population health can be improved by social determinants of health and precision medicine working together. However, these two health-enhancing constructs work independently, resulting in suboptimal health results. This paper argues that artificial intelligence can provide clinical–community linkage that enhances overall population health. An exploratory roadmap is proposed.

600 Social Determinants and Their Impact on Burn Surgery Outcomes

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S151-S152
Author(s):  
Luis H Quiroga ◽  
Tomer Lagziel ◽  
Mohammed Asif ◽  
Raymond Fang ◽  
Grace F Rozycki ◽  
...  
Keyword(s):  
Mental Health ◽  
Diabetes Mellitus ◽  
Social Determinants Of Health ◽  
Population Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Hospital Charges ◽  
Burn Patients ◽  
Increased Risk ◽  
History Of

Abstract Introduction To our knowledge, no studies have been conducted assessing the social determinants of health and the impact on the outcomes for burn patients. Such studies are needed considering burn injuries are associated with high costs, severe psychological impact, and a high burden placed on the healthcare systems. The burden is hypothesized to be aggravated by the increasing amount of diabetes and obesity seen in the general population which put patients at increased risk for developing chronic wounds. Studies have shown that several socioeconomic status (SES) factors are associated with increased risk of burns, but none have documented the outcomes of burn patients based on their social determinants of health. In our study, we will be comparing patients in the burn ICU (BICU) to patients in the surgical ICU (SICU). The purpose of this comparison is to evaluate whether the same social determinants of health have similar influences in both groups. Methods We performed a retrospective analysis of population group data from patients admitted to the BICU and SICU from January 1, 2016, to November 18, 2019. The primary outcomes were length-of-stay (LOS), mortality, 30-day-readmission, and hospital charges. Pearson’s chi-square test for categorical variables and t-test for continuous variables were used to compare population health groups. Results We analyzed a total of 487 burn and 510 surgical patients. When comparing BICU and SICU patients, we observed significantly higher mean hospital charges and LOS in burn patients with a history of mental health (mean difference: $42,756.04, p=0.013 and 7.12 days, p=0.0085), ESRD ($57,8124.7, p=0.0047 and 78.62 days, p=0.0104), sepsis ($168,825.19, p=&lt; 0.001 and 20.68 days, p=0.0043), and VTE ($63,9924.1, p=&lt; 0.001 and 72.9 days, p=0.002). Also, higher mortality was observed in burn patients with ESRD, STEMI, sepsis, VTE, and diabetes mellitus. Burn patients with a history of mental health, drug dependence, heart failure, and diabetes mellitus also had greater 30-day-readmissions rates. Conclusions This study sheds new knowledge on the considerable variability that exists between the different population health groups in terms of outcomes for each cohort of critically ill patients. It demonstrates the impacts of population health group on outcomes. These population groups and social determinants have different effects on BICU versus SICU patients and this study provides supporting evidence for the need to identify and develop new strategies to decrease overspending in healthcare. Further research to develop relevant and timely interventions that can improve these outcomes.

scholarly journals Addressing Social Determinants of Health in the Care of Patients With Heart Failure: A Scientific Statement From the American Heart Association

Circulation ◽  
2020 ◽  
Vol 141 (22) ◽  
Author(s):  
Connie White-Williams ◽  
Laura P. Rossi ◽  
Vera A. Bittner ◽  
Andrea Driscoll ◽  
Raegan W. Durant ◽  
...  
Keyword(s):  
Heart Failure ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Healthcare Providers ◽  
Clinical Syndrome ◽  
Assessment Tools ◽  
Determinants Of Health ◽  
Number Of Patients ◽  
Patients With Heart Failure ◽  
Scientific Statement

Heart failure is a clinical syndrome that affects >6.5 million Americans, with an estimated 550 000 new cases diagnosed each year. The complexity of heart failure management is compounded by the number of patients who experience adverse downstream effects of the social determinants of health (SDOH). These patients are less able to access care and more likely to experience poor heart failure outcomes over time. Many patients face additional challenges associated with the cost of complex, chronic illness management and must make difficult decisions about their own health, particularly when the costs of medications and healthcare appointments are at odds with basic food and housing needs. This scientific statement summarizes the SDOH and the current state of knowledge important to understanding their impact on patients with heart failure. Specifically, this document includes a definition of SDOH, provider competencies, and SDOH assessment tools and addresses the following questions: (1) What models or frameworks guide healthcare providers to address SDOH? (2) What are the SDOH affecting the delivery of care and the interventions addressing them that affect the care and outcomes of patients with heart failure? (3) What are the opportunities for healthcare providers to address the SDOH affecting the care of patients with heart failure? We also include a case study ( Data Supplement ) that highlights an interprofessional team effort to address and mitigate the effects of SDOH in an underserved patient with heart failure.

scholarly journals Collection of social determinants of health in the community clinic setting: a cross-sectional study

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Sheila V. Kusnoor ◽  
Taneya Y. Koonce ◽  
Suzanne T. Hurley ◽  
Kalonji M. McClellan ◽  
Mallory N. Blasingame ◽  
...  
Keyword(s):  
Social Determinants Of Health ◽  
Social Determinants ◽  
Cross Sectional Study ◽  
Determinants Of Health ◽  
Sectional Study ◽  
Cross Sectional ◽  
Community Clinic ◽  
Clinic Setting

scholarly journals Evaluating Concussion Nondisclosure in College Athletes using a Health Disparities Framework and Appreciation for Social Determinants of Health

2021 ◽  
Author(s):  
Jessica Wallace ◽  
Erica Beidler ◽  
Johna K. Register-Mihalik ◽  
Tamaria Hibbler ◽  
Abigail Bretzin ◽  
...  
Keyword(s):  
High School ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
College Athletes ◽  
Healthcare Access ◽  
Determinants Of Health ◽  
Athletic Trainer ◽  
Black Athletes ◽  
Cross Sectional ◽  
History Of

Abstract Context: There is limited research concerning the relationship between social determinants of health, including race, healthcare access, socioeconomic status (SES), and physical environment; and, concussion nondisclosure in college-athletes. However, in high school athletes, disparities have been noted, with Black athletes attending under-resourced schools and lacking access to an athletic trainer (AT) disclosing fewer concussions. Objective: To investigate whether concussion nondisclosure disparities exist by 1) race, 2) SES, and 3) AT healthcare access prior to college; and to understand the differential reasons for concussion nondisclosure between Black and White college-athletes. Design: Cross-sectional Setting: College athletics Participants: 735 college-athletes (84.6% White, 15.4% Black) Main Outcome Measures: Participants completed a questionnaire that directly assessed concussion nondisclosure, including reasons for not reporting a suspected concussion. With the premise of investigating social determinants of health, race was the primary exposure of interest. The outcome of interest, nondisclosure, was assessed with a binary (yes/no) question, “Have you ever sustained a concussion that you did not report to your coach, athletic trainer, parent, teammate, or anyone else?” Results: Overall, among White and Black athletes 15.6% and 17.7% respectively reported a history of concussion nondisclosure. No significant differences were found by race for distributions of history of concussion nondisclosure (p=0.57). Race was not associated with concussion nondisclosure when evaluated as an effect modification measure or confounder; and, no significant associations were noted by SES or high school AT access. Differences by race for reported reasons for nondisclosure were found for: “At the time I did not think it was a concussion” (p=0.045) and “I thought my teammates would think I am weak” (p=0.03) with Black athletes reporting these more frequently than White athletes. Conclusions: These data help to contextualize race and its intersection with other social determinants of health that could influence concussion nondisclosure outcomes in college-athletes.

scholarly journals Endocrinology in the Time of Coronavirus: A Virtual Endocrinology Elective for Medical Students

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A340-A341
Author(s):  
Meaghan C Moxley ◽  
Elizabeth Lamos ◽  
Rana Malek
Keyword(s):  
Medical Students ◽  
Patient Care ◽  
Student Satisfaction ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Diabetes Care ◽  
Core Competencies ◽  
Determinants Of Health ◽  
The Impact

Abstract Introduction: During the COVID-19 pandemic, the Association of American Medical Colleges recommended that medical students halt in-person learning. Our institution created a competency based virtual endocrinology elective to provide continued clinical experience with a focus on type 2 diabetes (T2DM) and health equity in diabetes care. Methods: A 4-week virtual endocrinology elective alternated between different mini-rotations to maximize exposure to inpatient and outpatient endocrine care, as well as self-directed and faculty/fellow directed educational experiences. Post-elective surveys assessed student satisfaction with elective components and change in comfort levels with T2DM management and social determinants of health (SDH) on diabetes care. Results: Overall, 87% (n=13) of students were “extremely satisfied” with the elective. Increased comfort was seen with management of type 2 DM and the impact of SDH on DM care (DM 88% neutral/uncomfortable to 94% comfortable, SDH 50% neutral/uncomfortable to 94% comfortable). Students were satisfied with the quality of patient care and requested opportunities for more direct involvement. Conclusions: This virtual endocrine elective shows that curricula can be creatively designed to educate students in endocrinology, assess students across core competencies, and demonstrate impacts of telehealth and social determinants of health on endocrine and patient care.

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