TY - JOUR
T1 - A population health measurement framework
T2 - Evidence-based metrics for assessing community-level population health in the global budget context
AU - Hatef, Elham
AU - Lasser, Elyse C.
AU - Kharrazi, Hadi H.K.
AU - Perman, Chad
AU - Montgomery, Russ
AU - Weiner, Jonathan P.
N1 - Funding Information:
The authors declared the following potential conflicts of interest: CMS State Innovation Model funds were used to facilitate this research. The Johns Hopkins University School of Public Health, Center for Population Health Information Technology (CPHIT) performed this research under contract to the Maryland Department of Health as a case study, which included data assessments and stakeholder input (the State included), as necessary. Any recommendations put forth in this manuscript are the views of the authors and do not necessarily represent the views of the Maryland Department of Health and Mental Hygiene.
PY - 2018/8
Y1 - 2018/8
N2 - Population health is one of the pillars of the Triple Aim to improve US health care. The authors developed a framework for population health measurement and a proposed set of measures for further exploration to guide the population health efforts in Maryland. The authors searched peer-reviewed, expert-authored literature and current public health measures. Using a semi-structured analysis, a framework was proposed, which consisted of a conceptual model of several domains and identified population health measures addressing them. Stakeholders were convened to review the framework and identified the most feasible population health measures considering the underlying health information technology (IT) infrastructure in Maryland. The framework was organized based on health system factors, determinants of health, and population-based and clinical outcomes. Measurement specifications were developed that addressed different aspects of selected measures and assessed various national and local data sources for selected measures. Data sources were identified based on their key characteristics, challenges, opportunities, and potential applicability to the proposed measures, as well as the issue of interoperability of data sources among different organizations. The proposed framework and measures can act as a platform to quantify the determinants of health and the state overall population health goals. Key considerations for developing a population health measures framework include health IT infrastructure, data denominators, feasibility, health system environment, and policy factors. Measurement development and progression using the framework will largely depend on the users' focus areas and availability of data. The authors believe that the proposed framework and road map can serve as a model for communities elsewhere.
AB - Population health is one of the pillars of the Triple Aim to improve US health care. The authors developed a framework for population health measurement and a proposed set of measures for further exploration to guide the population health efforts in Maryland. The authors searched peer-reviewed, expert-authored literature and current public health measures. Using a semi-structured analysis, a framework was proposed, which consisted of a conceptual model of several domains and identified population health measures addressing them. Stakeholders were convened to review the framework and identified the most feasible population health measures considering the underlying health information technology (IT) infrastructure in Maryland. The framework was organized based on health system factors, determinants of health, and population-based and clinical outcomes. Measurement specifications were developed that addressed different aspects of selected measures and assessed various national and local data sources for selected measures. Data sources were identified based on their key characteristics, challenges, opportunities, and potential applicability to the proposed measures, as well as the issue of interoperability of data sources among different organizations. The proposed framework and measures can act as a platform to quantify the determinants of health and the state overall population health goals. Key considerations for developing a population health measures framework include health IT infrastructure, data denominators, feasibility, health system environment, and policy factors. Measurement development and progression using the framework will largely depend on the users' focus areas and availability of data. The authors believe that the proposed framework and road map can serve as a model for communities elsewhere.
KW - Maryland All-Payer Model
KW - health information exchange
KW - population health framework
KW - population health measures
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U2 - 10.1089/pop.2017.0112
DO - 10.1089/pop.2017.0112
M3 - Article
C2 - 29035630
AN - SCOPUS:85050980357
SN - 1942-7891
VL - 21
SP - 261
EP - 270
JO - Population health management
JF - Population health management
IS - 4
ER -