scholarly journals Unmet health care needs and inequality: A cross‐country comparison of the situation of people with spinal cord injury

Author(s):  
Diana Pacheco Barzallo ◽  
Ana Oña ◽  
Armin Gemperli
2016 ◽  
Vol 70 (4_Supplement_1) ◽  
pp. 7011505135p1
Author(s):  
Stephen B. Kern ◽  
Louis N. Hunter ◽  
Angela Lenzo ◽  
David Turoff ◽  
Jay Skaria ◽  
...  

2019 ◽  
Vol 25 (1) ◽  
pp. 62-73
Author(s):  
Stephen B. Kern ◽  
Louis N. Hunter ◽  
Ashley C. Sims ◽  
Davis Berzins ◽  
Helena Riekena ◽  
...  

2015 ◽  
Vol 96 (10) ◽  
pp. e19 ◽  
Author(s):  
Miriam Brody ◽  
Bethlyn Vergo Houlihan ◽  
Sarah Everhart Skeels ◽  
Judi Zazula ◽  
Diana Pernigotti ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 226-226
Author(s):  
Si Young Song ◽  
Hey Jung Jun ◽  
Susanna Joo ◽  
Sun Ah Lee

Abstract Previous studies show that working people are less likely to experience unmet health care needs than non-workers. Also, employment and health are located in gendered social contexts. The present study aims to examine the moderating effect of gender on the association between employment status and unmet health care needs among middle-aged Koreans. We conducted logistic regression using the Korean Health Panel data (in 2016 and 2017; N=2,573, age range=45-64). Having experiences unmet health care needs in 2017 was the binary dependent variable. Employment status in 2016 was the binary independent variable and gender was the moderating variable. Age, education level, marital status, annual income, household type, type of medical security, disability, self-rated health, the number of chronic diseases, and stress level in 2016 were also in the analytic model based on the Andersen’s health behavioral model. The percentages of middle-aged people experiencing unmet health care needs were 18% for working men, 11% for non-working men, 13% for working women, and 16% for non-working women. The result showed there was significant moderating effect of gender (B= .72, p< .05). Specifically, working men were less likely to experience unmet health care needs than non-working men. On the contrary, there was not the significant difference in experiencing unmet health care needs between working and non-working women. It indicates that it is necessary to supplement medical services for especially for middle-aged men who are not employed because they might experience considerable amounts of unmet health care needs.


2021 ◽  
Vol 186 (Supplement_1) ◽  
pp. 651-658
Author(s):  
Kath M Bogie ◽  
Steven K Roggenkamp ◽  
Ningzhou Zeng ◽  
Jacinta M Seton ◽  
Katelyn R Schwartz ◽  
...  

ABSTRACT Background Pressure injuries (PrI) are serious complications for many with spinal cord injury (SCI), significantly burdening health care systems, in particular the Veterans Health Administration. Clinical practice guidelines (CPG) provide recommendations. However, many risk factors span multiple domains. Effective prioritization of CPG recommendations has been identified as a need. Bioinformatics facilitates clinical decision support for complex challenges. The Veteran’s Administration Informatics and Computing Infrastructure provides access to electronic health record (EHR) data for all Veterans Health Administration health care encounters. The overall study objective was to expand our prototype structural model of environmental, social, and clinical factors and develop the foundation for resource which will provide weighted systemic insight into PrI risk in veterans with SCI. Methods The SCI PrI Resource (SCI-PIR) includes three integrated modules: (1) the SCIPUDSphere multidomain database of veterans’ EHR data extracted from October 2010 to September 2015 for ICD-9-CM coding consistency together with tissue health profiles, (2) the Spinal Cord Injury Pressure Ulcer and Deep Tissue Injury Ontology (SCIPUDO) developed from the cohort’s free text clinical note (Text Integration Utility) notes, and (3) the clinical user interface for direct SCI-PIR query. Results The SCI-PIR contains relevant EHR data for a study cohort of 36,626 veterans with SCI, representing 10% to 14% of the U.S. population with SCI. Extracted datasets include SCI diagnostics, demographics, comorbidities, rurality, medications, and laboratory tests. Many terminology variations for non-coded input data were found. SCIPUDO facilitates robust information extraction from over six million Text Integration Utility notes annually for the study cohort. Visual widgets in the clinical user interface can be directly populated with SCIPUDO terms, allowing patient-specific query construction. Conclusion The SCI-PIR contains valuable clinical data based on CPG-identified risk factors, providing a basis for personalized PrI risk management following SCI. Understanding the relative impact of risk factors supports PrI management for veterans with SCI. Personalized interactive programs can enhance best practices by decreasing both initial PrI formation and readmission rates due to PrI recurrence for veterans with SCI.


2016 ◽  
Vol 107 (3) ◽  
pp. e266-e271 ◽  
Author(s):  
Cecilia Benoit ◽  
Nadia Ouellet ◽  
Mikael Jansson

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