2016
DOI: 10.1007/s11606-015-3576-z
|View full text |Cite
|
Sign up to set email alerts
|

Measuring What Matters in Health: Lessons from the Veterans Health Administration State of the Art Conference

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

1
8
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(9 citation statements)
references
References 10 publications
1
8
0
Order By: Relevance
“…Although many of these outcome variables are easily obtained from routinely collected administrative data, their use as quality metrics is complicated by challenging risk‐adjustment in a diverse medically complex patient population, the presence of unmeasured risk factors, and variable coding in administrative claims 15‐20 . Furthermore, results produced by these outcome measures often lack patient input and have limited ability to collect meaningful timely information that is capable of guiding quality improvement interventions 10‐14,18‐23 …”
Section: Introductionmentioning
confidence: 99%
“…Although many of these outcome variables are easily obtained from routinely collected administrative data, their use as quality metrics is complicated by challenging risk‐adjustment in a diverse medically complex patient population, the presence of unmeasured risk factors, and variable coding in administrative claims 15‐20 . Furthermore, results produced by these outcome measures often lack patient input and have limited ability to collect meaningful timely information that is capable of guiding quality improvement interventions 10‐14,18‐23 …”
Section: Introductionmentioning
confidence: 99%
“…[3][4][5][6] However, information derived from demographic, administrative, and clinical data may fail to capture important changes in health status that can alter an individual's future patterns of care-seeking behavior. 7 The potential for PROMs to contribute to better patient identification has been inferred from prior studies showing that PROMs predict outcomes such as mortality, hospitalization, hospital readmission, and total health care costs. [8][9][10][11][12][13][14][15][16] Despite research showing that PROMs predict important outcomes, there is a lack of evidence that routinely collecting this information in non-research settings can also improve the ability of systems and providers to identify patients with higher health care needs.…”
Section: Introductionmentioning
confidence: 99%
“…In both frameworks, the third phase, “going full-scale” 1 or “national roll-out effort”, 23 describes an effort that includes many organizations. Both frameworks present this final phase as a single phase, but both theory and evidence suggest that at the end of this phase some sites may be harder to engage.…”
Section: Introductionmentioning
confidence: 99%