scholarly journals Does the Relationship of the Proxy to the Target Person Affect the Concordance between Survey Reports and Medicare Claims Measures of Health Services Use?

2015 ◽  
Vol 51 (1) ◽  
pp. 314-327 ◽  
Author(s):  
George L. Wehby ◽  
Michael P. Jones ◽  
Fred Ullrich ◽  
Yiyue Lou ◽  
Fredric D. Wolinsky
SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A321-A322
Author(s):  
M Tzuang ◽  
J T Owusu ◽  
J Huang ◽  
O C Sheehan ◽  
G W Rebok ◽  
...  

Abstract Introduction Few studies have examined whether napping is associated with objective measures of health services use. We investigated links of napping characteristics with all-cause hospitalizations and emergency department (ED) visits in Medicare claims from a nationally representative sample of older adults. Methods Participants were 869 community-dwelling Medicare beneficiaries aged ≥65 years from Round 3 (2013) and Round 4 (2014) of the National Health and Aging Trends Study (NHATS) who had continuous fee-for-service coverage 1 year before and after the NHATS interview. Participants reported past-month napping frequency (re-categorized as non-nappers, infrequent nappers, frequent nappers), napping type (intentional, unintentional), and nap duration. Outcomes were from linked Medicare claims measured after napping assessment: all-cause ED visits and hospitalizations (yes vs. no), and number of hospitalizations and ED visits. Results Overall, 45.4% of participants were nappers, and 55.2% of the nappers reported taking unintentional naps. After adjustment for demographics, depressive/anxiety symptoms, medical comorbidities and BMI, compared with non-nappers, infrequent and frequent nappers had a higher odds of hospitalization (odds ratio (OR)=1.65 and 1.73, respectively, both p<0.05), as did unintentional nappers (OR=1.85, p<0.05). We found no significant adjusted associations of napping frequency with ED visits. However, compared with non-nappers, unintentional nappers had a higher odds of visiting the ED (OR=1.94, p<0.01). Additionally, compared to nappers taking short naps (≤30 minutes), those with naps >60 minutes had a greater number of ED visits (Incidence Rate Ratio=1.99, p<0.05). Conclusion Among older adults, napping—and particularly unintentional napping—may be a modifiable risk factor for health services use. More studies that consider multiple napping characteristics (e.g., duration, frequency), and using objective measures (e.g., actigraphy), are needed to advance understanding of how napping might influence health services use. Support National Institute on Aging: R01AG050507 & R01AG050507-02S (PI: Spira); F31-AG058389; U01AG032947 (PI: Kasper) for the National Health and Aging Trends Study. Johns Hopkins Center on Aging and Health Data Use Agreement (PI: Roth, Co-I: Sheehan) with Centers for Medicare & Medicaid Services titled, “Potentially modifiable factors influencing outcomes in NHATS.”


Author(s):  
Nisha Naicker ◽  
Frank Pega ◽  
David Rees ◽  
Spo Kgalamono ◽  
Tanusha Singh

Background: There are approximately two billion workers in the informal economy globally. Compared to workers in the formal economy, these workers are often marginalised with minimal or no benefits from occupational health and safety regulations, labour laws, social protection and/or health care. Thus, informal economy workers may have higher occupational health risks compared to their formal counterparts. Our objective was to systematically review and meta-analyse evidence on relative differences (or inequalities) in health services use and health outcomes among informal economy workers, compared with formal economy workers. Methods: We searched PubMed and EMBASE in March 2020 for studies published in 1999–2020. The eligible population was informal economy workers. The comparator was formal economy workers. The eligible outcomes were general and occupational health services use, fatal and non-fatal occupational injuries, HIV, tuberculosis, musculoskeletal disorders, depression, noise-induced hearing loss and respiratory infections. Two authors independently screened records, extracted data, assessed risk of bias with RoB-SPEO, and assessed quality of evidence with GRADE. Inverse variance meta-analyses were conducted with random effects. Results: Twelve studies with 1,637,297 participants from seven countries in four WHO regions (Africa, Americas, Eastern Mediterranean and Western Pacific) were included. Compared with formal economy workers, informal economy workers were found to be less likely to use any health services (odds ratio 0.89, 95% confidence interval 0.85–0.94, four studies, 195,667 participants, I2 89%, low quality of evidence) and more likely to have depression (odds ratio 5.02, 95% confidence interval 2.72–9.27, three studies, 26,260 participants, I2 87%, low quality of evidence). We are very uncertain about the other outcomes (very-low quality of evidence). Conclusion: Informal economy workers may be less likely than formal economy workers to use any health services and more likely to have depression. The evidence is uncertain for relative differences in the other eligible outcomes. Further research is warranted to strengthen the current body of evidence and needed to improve population health and reduce health inequalities among workers.


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