Evaluation of an educational online intervention aiming to improve primary care physicians’ awareness of addressing social determinants of health in clinical care in Saudi Arabia

2021 ◽  
Author(s):  
Basmah Almujadidi
2020 ◽  
Vol 75 (11) ◽  
pp. 801
Author(s):  
Anekwe E. Onwuanyi ◽  
Diane Wirth ◽  
Faith Works-Fleming ◽  
Andrea Cafarelli ◽  
Michael Knauss ◽  
...  

2018 ◽  
Vol 41 (1) ◽  
pp. 2-14 ◽  
Author(s):  
Kate LaForge ◽  
Rachel Gold ◽  
Erika Cottrell ◽  
Arwen E. Bunce ◽  
Michelle Proser ◽  
...  

Author(s):  
Dan Chateau ◽  
Alan Katz ◽  
Chelsey McDougall ◽  
Carole Taylor ◽  
Scott McCulloch

IntroductionPopulation based data on the social determinants of health are not widely available, despite a wide body of evidence pointing to their importance. The Mantioba Population Research Data Repository offers a unique opportunity to leverage data from multiple government departments to assess the relationship between measurable social determinants and health. Objectives and ApproachUsing population based data from health, small area level census survey questions, social assisitance, education, social housing, child protective services and justice, linked at the individual level, we measured indicators of social complexity and mapped them in the province of Manitoba. Individuals with high level of social complexity were then compared with indicators of medical complexity and/or high use of medical services to determine the degree of overlap between these attributes of individuals. A matched group of individuals without any of the measured social complexities was developed and the number and reason for visits to primary care providers was compared. ResultsThe rate of individuals having three or more social complexities varied from a low of ~7% to a high of 35%, depending on the geographic location. High residential mobiity, involvement with the justice system and history of social assistance were the most frequent (>15%). Individuals with social complexities tended to be younger and live in poorer neighbourhoods than medically complex individuals or high users of health services. Socially complex persons had on average 5.5 primary care visits annually, compared to only ~3.5 for matched individuals with no social complexities. The overlap with high users of health services was slight (14.4%) and depended on the characteristics of the population. The overlap with medically complex patients ws higher (16.2%), particularly when medical complexity included mental health related diagnoses (20.4%). Conclusion/ImplicationsThe proportion of individuals with social complexities is large, and a substantial number have multiple risk factors. These individuals are for the most part a unique group, distinct from medically complex patients. Different strategies for care may be necessary to promote and sustain mental and physical health and wellbeing.


2019 ◽  
Vol 6 ◽  
pp. 237428951988487 ◽  
Author(s):  
Jill S. Warrington ◽  
Nick Lovejoy ◽  
Jamie Brandon ◽  
Keith Lavoie ◽  
Chris Powell

As the opioid crisis continues to have devastating consequences for our communities, families, and patients, innovative approaches are necessary to augment clinical care and the management of patients with opioid use disorders. As stewards of health analytic data, laboratories are uniquely poised to approach the opioid crisis differently. With this pilot study, we aimed to bridge laboratory data with social determinants of health data, which are known to influence morbidity and mortality of patients with substance use disorders. For the purpose of this pilot study, we focused on the co-use of opioids and benzodiazepines, which can lead to an increased risk of fatal opioid-related overdoses and increased utilization of acute care. Using the laboratory finding of the copresence of benzodiazepines and opioids as the primary outcome measure, we examined social determinants of health attributes that predict co-use. We found that the provider practice that ordered the laboratory result is the primary predictor of co-use. Increasing age was also predictive of co-use. Further, co-use is highly prevalent in specific geographic areas or “hotspots.” The prominent geographic distribution of co-use suggests that targeted educational initiatives may benefit the communities in which co-use is prevalent. This study exemplifies the Clinical Lab 2.0 approach by leveraging laboratory data to gain insights into the overall health of the patient.


2019 ◽  
Vol 3 ◽  
pp. 23-23
Author(s):  
Steven S. Coughlin ◽  
Paul Mann ◽  
Marlo Vernon ◽  
Lufei Young ◽  
Deepak Ayyala ◽  
...  

Medical Care ◽  
2019 ◽  
Vol 57 ◽  
pp. S133-S139 ◽  
Author(s):  
Pablo Buitron de la Vega ◽  
Stephanie Losi ◽  
Linda Sprague Martinez ◽  
Allison Bovell-Ammon ◽  
Arvin Garg ◽  
...  

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