scholarly journals Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0206201 ◽  
Author(s):  
Emma Wallace ◽  
Frank Moriarty ◽  
Christine McGarrigle ◽  
Susan M. Smith ◽  
Rose-Anne Kenny ◽  
...  
Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Amy Y Yu ◽  
Edwin Rogers ◽  
Eric E Smith

Introduction: Home time has been proposed as a surrogate for functional outcome in ischemic stroke, and is also a highly valued patient-centered outcome that reflects resource utilization. In prospective cohort studies and clinical trials, higher home time has been correlated with lower disability; however, the requirement for informed consent results in selection bias. Therefore, the population distributions of home time after stroke are currently unknown. Additionally, home time distributions have not been reported in hemorrhagic stroke and transient ischemic attack (TIA). We developed a novel administrative data algorithm to compare home time distributions after hospital admission for cerebrovascular events in the population of Alberta, Canada. Methods: Home time was defined as the number of nights not spent in an institution, including acute-care, inpatient rehabilitation facilities, and long-term care, in the 90 days after admission for a cerebrovascular event. Community-dwelling residents of Alberta, Canada with a valid healthcare number admitted for a cerebrovascular event between April 2012 and June 2015 were included. We used the Kruskal-Wallis test to compare the median home-times according to stroke type: ischemic stroke (IS), TIA, or hemorrhagic stroke (HS), including intracerebral and subarachnoid hemorrhage. We correlated admitting age and home time with Spearman correlations and assessed sex and home time with Wilcoxon Rank Sum. Results: A total of 12520 admissions were identified, the median age was 74 years (IQR 22), and 53% were male. There were 8482 (68%) IS, 2434 (19%) TIA, and 1604 (13%) HS. The median (IQR) home time by stroke type was 72 nights (85) for IS, 87 nights (6) for TIA, and 29 nights (79) for HS (p<0.001). For each stroke type, lower home time was correlated with higher age (IS: r=-0.35; TIA: r=-0.31; HS: r=-0.33; p<0.001 for each comparison) and female sex (p≤0.001). Conclusion: In this population with universal healthcare access, TIA had the highest home time (i.e. best outcomes) whereas hemorrhagic stroke had the lowest, consistent with expected functional outcomes based on prospective cohort studies. Home time may be a useful metric to track patient outcomes and healthcare utilization based on administrative health data.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0124247 ◽  
Author(s):  
Susan G. Poole ◽  
J. Simon Bell ◽  
Natali Jokanovic ◽  
Carl M. Kirkpatrick ◽  
Michael J. Dooley

2014 ◽  
Vol 67 (10) ◽  
pp. 1121-1130 ◽  
Author(s):  
Jacqueline J. Suijker ◽  
Bianca M. Buurman ◽  
Marjon van Rijn ◽  
Marlies T. van Dalen ◽  
Gerben ter Riet ◽  
...  

2018 ◽  
Vol 15 (9) ◽  
pp. 869-876 ◽  
Author(s):  
Yue Ruan ◽  
Jun Tang ◽  
Xiaofei Guo ◽  
Kelei Li ◽  
Duo Li

Background: Epidemiological studies showed that dietary fat intake is associated with Alzheimer’s disease (AD) and dementia risk, however, the association remain inconsistent. This metaanalysis aimed to systematically examine the association of dietary fat intake with AD and dementia risk. Methods: We have systematically searched PubMed, Embase and the Cochrane Library up to May 1st 2017. Prospective cohort studies were included if they reported on the association of dietary fat intake with AD and dementia risk. Multivariate-adjusted relative risks (RRs) for the highest versus lowest category were pooled by using a random-effects model. Results: A total of 8630 participants and 633 cases from four independent prospective cohort studies were included in the present meta-analysis. A higher dietary saturated fat intake was significantly associated with an increased risk of 39% and 105% for AD (RR: 1.39; 95% CI: 1.00, 1.94) and dementia (RR: 2.05; 95% CI: 1.06, 3.98), respectively. Dose-response analysis indicated a 4 g/day increment of saturated fat intake was related to 15% higher risk of AD (RR: 1.15; 95% CI: 1.01, 1.31). However, there was no significant association found between dietary intake of total, monounsaturated, polyunsaturated fat and AD or dementia risk. Conclusions: This meta-analysis provides significant evidence of positive association between higher saturated fat intake and AD and dementia risk.


Author(s):  
Shuai Yuan ◽  
Maria Bruzelius ◽  
Scott M. Damrauer ◽  
Niclas Håkansson ◽  
Alicja Wolk ◽  
...  

2021 ◽  
Vol 6 (2) ◽  
pp. e106-e115
Author(s):  
Mikaela Bloomberg ◽  
Aline Dugravot ◽  
Julien Dumurgier ◽  
Mika Kivimaki ◽  
Aurore Fayosse ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiangmei Zhao ◽  
Dongying Wang ◽  
Lijie Qin

Abstract Background This meta-analysis based on prospective cohort studies aimed to evaluate the associations of lipid profiles with the risk of major adverse cardiovascular outcomes in patients with coronary heart disease (CHD). Methods The PubMed, Embase, and Cochrane Library electronic databases were systematically searched for prospective cohort study published through December 2019, and the pooled results were calculated using the random-effects model. Results Twenty-one studies with a total of 76,221 patients with CHD met the inclusion criteria. The per standard deviation (SD) increase in triglyceride was associated with a reduced risk of major adverse cardiovascular events (MACE). Furthermore, the per SD increase in high-density lipoprotein cholesterol (HDL-C) was associated with a reduced risk of cardiac death, whereas patients with lower HDL-C were associated with an increased risk of MACE, all-cause mortality, and cardiac death. Finally, the risk of MACE was significantly increased in patients with CHD with high lipoprotein(a) levels. Conclusions The results of this study suggested that lipid profile variables could predict major cardiovascular outcomes and all-cause mortality in patients with CHD.


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