Searched for: person:stinen01
Nonlinear Exposure-Outcome Associations and Public Health Policy--Reply [Letter]
Chokshi, Dave A; El-Sayed, Abdulrahman M; Stine, Nicholas W
PMID: 27002459
ISSN: 1538-3598
CID: 3109492
J-Shaped Curves and Public Health
Chokshi, Dave A; El-Sayed, Abdulrahman M; Stine, Nicholas W
PMID: 26390229
ISSN: 1538-3598
CID: 1786702
Multifactorial risk assessment for atherosclerotic cardiovascular disease--reply [Letter]
Stine, Nicholas; Chokshi, Dave
PMID: 25734748
ISSN: 0098-7484
CID: 1509672
Elimination of lipid levels from quality measures: implications and alternatives
Stine, Nicholas W; Chokshi, Dave A
PMID: 25399268
ISSN: 0098-7484
CID: 1355562
HALE and hearty: Toward more meaningful health measurement in the clinical setting
Stine, Nicholas W; Stevens, David L; Braithwaite, R Scott; Gourevitch, Marc N; Wilson, Ross M
PMID: 26249778
ISSN: 2213-0772
CID: 1720892
Reconsidering the politics of public health
Chokshi, Dave A; Stine, Nicholas W
PMID: 23975269
ISSN: 0098-7484
CID: 674392
Improving population health in US cities
Stine, Nicholas W; Chokshi, Dave A; Gourevitch, Marc N
PMCID:3618470
PMID: 23385269
ISSN: 0098-7484
CID: 249122
Health-weighted Composite Quality Metrics Offer Promise to Improve Health Outcomes in a Learning Health System
Braithwaite, Scott; Stine, Nicholas
Health system leaders sometimes adopt quality metrics without robust supporting evidence of improvements in quality and/or quantity of life, which may impair rather than facilitate improved health outcomes. In brief, there is now no easy way to measure how much "health" is conferred by a health system. However, we argue that this goal is achievable. Health-weighted composite quality metrics have the potential to measure "health" by synthesizing individual evidence-based quality metrics into a summary measure, utilizing relative weightings that reflect the relative amount of health benefit conferred by each constituent quality metric. Previously, it has been challenging to create health-weighted composite quality metrics because of methodological and data limitations. However, advances in health information technology and mathematical modeling of disease progression promise to help mitigate these challenges by making patient-level data (eg, from the electronic health record and mobile health (mHealth) more accessible and more actionable for use. Accordingly, it may now be possible to use health information technology to calculate and track a health-weighted composite quality metric for each patient that reflects the health benefit conferred to that patient by the health system. These health-weighted composite quality metrics can be employed for a multitude of important aims that improve health outcomes, including quality evaluation, population health maximization, health disparity attenuation, panel management, resource allocation, and personalization of care. We describe the necessary attributes, the possible uses, and the likely limitations and challenges of health-weighted composite quality metrics using patient-level health data.
PMCID:4371421
PMID: 25848572
ISSN: 2327-9214
CID: 1544172
HALE : unification theory for clinical medicine and population health
Teutsch, Steven M.; Chokshi, Dave A; Stine, Nicholas W; Fielding, Jonathan E
[Washington, DC] : Institute of Medicine of the National Academies, October 25, 2013
Extent: 1 online resource (1 PDF file (3 p.)).
ISBN: n/a
CID: 2597502
Opportunity in austerity--a common agenda for medicine and public health
Stine, Nicholas W; Chokshi, Dave A
PMID: 22296074
ISSN: 0028-4793
CID: 674432