scholarly journals Television viewing and other screen-based entertainment in relation to multiple socioeconomic status indicators and area deprivation: the Scottish Health Survey 2003

2009 ◽  
Vol 63 (9) ◽  
pp. 734-740 ◽  
Author(s):  
E Stamatakis ◽  
M Hillsdon ◽  
G Mishra ◽  
M Hamer ◽  
M Marmot
Keyword(s):  
Socioeconomic Status ◽  
Health Survey ◽  
Television Viewing ◽  
Area Deprivation ◽  
Scottish Health Survey

Metabolic syndrome and socioeconomic status in France: The French Nutrition and Health Survey (ENNS, 2006–2007)

2013 ◽  
Vol 58 (6) ◽  
pp. 855-864 ◽  
Author(s):  
M. Vernay ◽  
B. Salanave ◽  
C. de Peretti ◽  
C. Druet ◽  
A. Malon ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Socioeconomic Status ◽  
Health Survey ◽  
Nutrition And Health

The Scottish Health Survey

2014 ◽  
Author(s):  
Clare Sharp ◽  
Lisa Rutherford
Keyword(s):  
Health Survey ◽  
Scottish Health Survey

scholarly journals MEASURING SOCIOECONOMIC STATUS IN OLDER POPULATIONS: A SCOPING REVIEW AND INTERNATIONAL PERSPECTIVE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S265-S265
Author(s):  
Gemma F Spiers ◽  
Barbara Hanratty ◽  
Fiona E Matthews ◽  
E Moffatt ◽  
A Kingston
Keyword(s):  
Older Adults ◽  
Socioeconomic Status ◽  
Scoping Review ◽  
Cultural Context ◽  
Social Care ◽  
Home Ownership ◽  
Care Utilization ◽  
Future Research ◽  
Area Deprivation ◽  
Older Populations

Abstract Socioeconomic status (SES) is often measured using indicators that are less relevant to older populations. Building on earlier debates about these issues, an up-to-date, critical review of contemporary evidence and approaches is needed. A key question is how these challenges might vary between countries and different socio-cultural contexts. An international systematic scoping review was undertaken to a) identify which measures of SES have been used in studies of older adults’ health, healthcare utilization and social care utilization, and b) critically appraise the application and validity of these measures in older populations. Systematic searches were conducted in five databases (Medline, Scopus, EMBASE, PsychInfo, Web of Science and Health Management Information Consortium) in May 2018. Studies were eligible if they reported data about the relationship between a measure of SES and self-rated health, healthcare use or social care use for people aged 60+ years, and were published after 2000 in a high-income country (as defined by the Organisation for Economic Cooperation and Development). Sixty-two studies across seventeen countries were included. Measures used included: education (n=41), income (n=37), subjective SES (n=8), occupational or employment (n=10), area deprivation (n=10), combined wealth (n=7), home ownership (n=13), and housing conditions (n=2). A minority (n=7) used a range of proxy variables. The challenges of applying these measures to older populations will be considered. Attention is given to how these challenges may differ by country, whilst considering the added complexities of age, gender and socio-cultural context. Implications for future research on older adults’ health inequalities are discussed.

Do rural cancer patients receive lower quality cancer care? Assessing the impact of rurality on oncology practice performance measures.

2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 166-166
Author(s):  
Catherine R. Fedorenko ◽  
Laura Elizabeth Panattoni ◽  
Qin Sun ◽  
Li Li ◽  
Karma L. Kreizenbeck ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Cancer Patients ◽  
Cancer Care ◽  
Performance Measure ◽  
Area Deprivation ◽  
Cancer Type ◽  
Quality Cancer Care ◽  
Practice Performance ◽  
The Impact

166 Background: Rural residents are diagnosed at later stages of cancer compared to urban residents, have poorer survival, and face distinct barriers to receiving quality cancer care. ASCO has developed policy initiatives to address rural cancer care; however, little is known about quality of cancer care among patients residing in rural areas. This study examined the impact of rurality on performance metrics, controlling for socioeconomic status and insurance type. Methods: We linked Washington state cancer registry records from 2015-2017 with claims records for two large commercial insurers, Medicare, and Medicaid. Using claims from this database, we generated eight nationally recognized quality measures. Rurality was measured by the Rural-Urban Commuting Area Codes (RUCAs) categorized into 4 levels (Metro, Metro with commute, Micropolitan, Small Town/Rural). Process and outcome measures were adjusted for age, sex, race, comorbidity score, stage, cancer type, marital status, the Area Deprivation Index, and treatment factors where appropriate. Results were stratified by payer type. Results: The table below lists the effect of a patient’s rurality on the quality metric where significant (p<0.05). Where rurality did not impact the performance measure, results are left blank. Conclusions: After controlling for socioeconomic status and payer type, quality of cancer care for rural cancer patients was not consistently poorer compared to urban patients. These results suggest that lower survival among rural patients may be due to factors beyond quality of care.[Table: see text]

Assessing disparities in engagement in a post-discharge virtual visit follow-up program.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 100-100
Author(s):  
Abdullateef Abdulkareem ◽  
Nathan Handley ◽  
Samantha Burdette ◽  
Adam Binder
Keyword(s):  
Socioeconomic Status ◽  
Language Proficiency ◽  
English Language ◽  
Urban Setting ◽  
Transitions Of Care ◽  
Area Deprivation ◽  
Patient Portal ◽  
Post Discharge ◽  
The Impact

100 Background: Transitions of care are a frequent focus of quality improvement initiatives. In attempt to improve upon the transitions of care for oncology patients, our institution implemented a post discharge virtual visit follow-up program. Previous studies have suggested that socioeconomic status impacts engagement in technology based interventions. Herein, we report the impact of socio-economic status based on area deprivation index (ADI) on engagement with the program. Methods: All patients admitted to the elective chemotherapy service were included. Retrospective analysis of characteristics of each participant was conducted. Data included eligibility (access to the internet, appropriate device, English language proficiency, ability to set up video visit and a patient portal account) for video visit, interest in participating, completion of the visit and any interventions performed during the visit. In addition, ADI was calculated for each individual. Patients were classified into quartiles based on ADI (quartiles increased with ADI). Chi squared testing was performed to assess whether socioeconomic status affected enrollment in video visits. Simple descriptive analysis was also performed. Results: One hundred seven unique patients were included for review. Of these, 33 (31%), 39 (36%), 16 (15%) and 19 (18%) were in quartile(Q) 1, 2, 3 and 4 respectively. Eligibility per quartile was 29 (88%), 34(87%), 13(81%), and 15(83%). ADI quartile did not significantly affect virtual visit eligibility (p = .50). A total of 91 patients (85%) were eligible for video visits; of these, 46 patients declined. Of the 46 patients that declined 9 (19%), 20 (43%), 8 (17%), and 9 (19%) were in Q1, Q2, Q3 and Q4 respectively. Fifteen patients cited technology issues as reasons for declining telehealth visits - 10 (67%) from Q1 and Q2 and 5 (33%) from Q3 and Q4. The vast majority cited lack of interest as reason for declining. Conclusions: ADI as a measure of socioeconomic status did not significantly affect eligibility for or enrollment in video visits. This may be explained by more ubiquitous access to internet services in a large urban setting. Current research is currently being conducted to understand patient barriers to engagement in virtual visits.

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