scholarly journals 1087 Transitioning from Paper to Electronic Health Record Collection of Epworth Sleepiness Scale (ESS) for Quality Measures

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A404-A404 ◽  
Author(s):  
Y Chang ◽  
B Staley ◽  
S Simonsen ◽  
M Breen ◽  
B Keenan ◽  
...  
SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A402-A402 ◽  
Author(s):  
B Staley ◽  
B T Keenan ◽  
S Simonsen ◽  
R Warrell ◽  
R Schwab ◽  
...  

2017 ◽  
Vol 53 ◽  
pp. 2988-3006 ◽  
Author(s):  
Michael Barton Laws ◽  
Joanne Michaud ◽  
Renee Shield ◽  
William McQuade ◽  
Ira B. Wilson

PEDIATRICS ◽  
2009 ◽  
Vol 124 (4) ◽  
pp. e648-e654 ◽  
Author(s):  
R. E. Jensen ◽  
K. S. Chan ◽  
J. P. Weiner ◽  
J. B. Fowles ◽  
S. M. Neale

10.2196/31186 ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. e31186
Author(s):  
Nevin Hammam ◽  
Zara Izadi ◽  
Jing Li ◽  
Michael Evans ◽  
Julia Kay ◽  
...  

Background Routine collection of disease activity (DA) and patient-reported outcomes (PROs) in rheumatoid arthritis (RA) are nationally endorsed quality measures and critical components of a treat-to-target approach. However, little is known about the role electronic health record (EHR) systems play in facilitating performance on these measures. Objective Using the American College Rheumatology’s (ACR’s) RISE registry, we analyzed the relationship between EHR system and performance on DA and functional status (FS) quality measures. Methods We analyzed data collected in 2018 from practices enrolled in RISE. We assessed practice-level performance on quality measures that require DA and FS documentation. Multivariable linear regression and zero-inflated negative binomial models were used to examine the independent effect of EHR system on practice-level quality measure performance, adjusting for practice characteristics and patient case-mix. Results In total, 220 included practices cared for 314,793 patients with RA. NextGen was the most commonly used EHR system (34.1%). We found wide variation in performance on DA and FS quality measures by EHR system (median 30.1, IQR 0-74.8, and median 9.0, IQR 0-74.2), respectively). Even after adjustment, NextGen practices performed significantly better than Allscripts on the DA measure (51.4% vs 5.0%; P<.05) and significantly better than eClinicalWorks and eMDs on the FS measure (49.3% vs 29.0% and 10.9%; P<.05). Conclusions Performance on national RA quality measures was associated with the EHR system, even after adjusting for practice and patient characteristics. These findings suggest that future efforts to improve quality of care in RA should focus not only on provider performance reporting but also on developing and implementing rheumatology-specific standards across EHRs.


PEDIATRICS ◽  
2012 ◽  
Vol 130 (1) ◽  
pp. 139-149 ◽  
Author(s):  
R. Gold ◽  
H. Angier ◽  
R. Mangione-Smith ◽  
C. Gallia ◽  
P. J. McIntire ◽  
...  

2020 ◽  
Vol 3 (7) ◽  
pp. e209411
Author(s):  
Juell Homco ◽  
Hélène Carabin ◽  
Zsolt Nagykaldi ◽  
Tabitha Garwe ◽  
F. Daniel Duffy ◽  
...  

2021 ◽  
Author(s):  
Nevin Hammam ◽  
Zara Izadi ◽  
Jing Li ◽  
Michael Evans ◽  
Julia Kay ◽  
...  

BACKGROUND Routine collection of disease activity (DA) and patient-reported outcomes (PROs) in rheumatoid arthritis (RA) are nationally endorsed quality measures and critical components of a treat-to-target approach. However, little is known about the role electronic health record (EHR) systems play in facilitating performance on these measures. OBJECTIVE Using the American College Rheumatology’s (ACR’s) RISE registry, we analyzed the relationship between EHR system and performance on DA and functional status (FS) quality measures. METHODS We analyzed data collected in 2018 from practices enrolled in RISE. We assessed practice-level performance on quality measures that require DA and FS documentation. Multivariable linear regression and zero-inflated negative binomial models were used to examine the independent effect of EHR system on practice-level quality measure performance, adjusting for practice characteristics and patient case-mix. RESULTS In total, 220 included practices cared for 314,793 patients with RA. NextGen was the most commonly used EHR system (34.1%). We found wide variation in performance on DA and FS quality measures by EHR system (median 30.1, IQR 0-74.8, and median 9.0, IQR 0-74.2), respectively). Even after adjustment, NextGen practices performed significantly better than Allscripts on the DA measure (51.4% vs 5.0%; <i>P</i>&lt;.05) and significantly better than eClinicalWorks and eMDs on the FS measure (49.3% vs 29.0% and 10.9%; <i>P</i>&lt;.05). CONCLUSIONS Performance on national RA quality measures was associated with the EHR system, even after adjusting for practice and patient characteristics. These findings suggest that future efforts to improve quality of care in RA should focus not only on provider performance reporting but also on developing and implementing rheumatology-specific standards across EHRs. CLINICALTRIAL


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