Measuring the Triple Aim: A Call for Action

Stiefel, Matthew C.; Nolan, Kevin

doi:10.1089/pop.2013.0025

Cited by 63 publications

(89 citation statements)

References 1 publication

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“…The design goal for the health information technology infrastructure was to eliminate both [1]: the data divide between existing data sources that have been developed but that currently operate in isolation and [2], the clinical divide that exists between clinical care settings and providers. The design of the HIT platform is based on the following guiding principles:…”

Section: Methodsmentioning

confidence: 99%

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WITHDRAWN: The impact of care management information technology model on quality of care after percutaneous coronary intervention: “Bridging the Divides”

Weintraub

Fanari

Elliott

et al. 2017

Cardiovascular Revascularization Medicine

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Section: Methodsmentioning

confidence: 99%

“…In particular, the goals are to improve health, improve health care and lower costs [2]. A particular area of concern has been the problem of the transition from hospital to home in patients hospitalized for an acute event [3].…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: The impact of care management information technology model on quality of care after percutaneous coronary intervention: “Bridging the Divides”

Weintraub

Fanari

Elliott

et al. 2017

Cardiovascular Revascularization Medicine

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show abstract

“…General definitions of population health vary but, as established by Kindig and Stoddart, typically involve the aggregated health outcomes of a group of individuals, with special consideration of the distribution of those outcomes 4 and factors that contribute to variability in that distribution. 5 Because CMC are generally on one extreme end of the health distribution for all children, more general conceptions of population health—such as the Healthy People 2020 framework, 6 the Institute for Healthcare Improvement model for population health, 7 the Institute of Medicine Framework for Indicator Development, 8 and even the 6 Core Outcomes for Children with Special Health Care Needs 9 —and the metrics that serve them may fail to adequately capture important health differences among CMC themselves.…”

Section: Introductionmentioning

confidence: 99%

Experts' Perspectives Toward a Population Health Approach for Children With Medical Complexity

Barnert

Coller

Nelson

et al. 2017

Academic Pediatrics

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Objectives Because children with medical complexity (CMC) display very different health trajectories, needs, and resource utilization than other children, it is unclear how well traditional conceptions of population health apply to CMC. We sought to identify key health outcome domains for CMC as a step toward determining core health metrics for this distinct population of children. Methods We conducted and analyzed interviews with 23 diverse national experts on CMC to better understand population health for CMC. Interviewees included child and family advocates, health and social service providers, and research, health systems, and policy leaders. We performed thematic content analyses to identify emergent themes regarding population health for CMC. Results Overall, interviewees conveyed that defining and measuring population health for CMC is an achievable, worthwhile goal. Qualitative themes from interviews included: (1) CMC share unifying characteristics that could serve as the basis for population health outcomes; (2) optimal health for CMC is child specific and dynamic; (3) health of CMC is intertwined with health of families; (4) social determinants of health are especially important for CMC; and (5) measuring population health for CMC faces serious conceptual and logistical challenges. Conclusions Experts have taken initial steps in defining the population health of CMC. Population health for CMC involves a dynamic concept of health that is attuned to individual, health-related goals for each child. We propose a framework that can guide the identification and development of population health metrics for CMC.

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“…Population health has emerged as a framework to guide comprehensive interventions and policies for improving prevention, health promotion and healthcare outcomes, and addressing the determinants of health that contribute to health inequities [7, 8]. Population health is defined as “the health of a population as measured by health status indicators and as influenced by social, economic, and physical environments; personal health practices; individual capacity and coping skills; human biology; early childhood development; and health services” [9].…”

Section: Diabetes and Population Healthmentioning

confidence: 99%

“…Population health is defined as “the health of a population as measured by health status indicators and as influenced by social, economic, and physical environments; personal health practices; individual capacity and coping skills; human biology; early childhood development; and health services” [9]. Consequently, population health broadens health improvement beyond traditional boundaries of medical care or public health and necessitates community and multi-sector partnerships for intervention implementation outside of healthcare settings, and targeted interventions within the healthcare setting [7, 8]. Population health methods include use of population assessment, risk stratification, targeted interventions to provide population subgroups in different risk strata appropriate and quality care in the right settings, and data to determine outcomes.…”

Section: Diabetes and Population Healthmentioning

confidence: 99%

The Case for Diabetes Population Health Improvement: Evidence-Based Programming for Population Outcomes in Diabetes

et al. 2017

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Purpose of Review The goal of this review is to describe diabetes within a population health improvement framework and to review the evidence for a diabetes population health continuum of intervention approaches, including diabetes prevention and chronic and acute diabetes management, to improve clinical and economic outcomes. Recent Findings Recent studies have shown that compared to usual care, lifestyle interventions in prediabetes lower diabetes risk at the population-level and that group-based programs have low incremental medial cost effectiveness ratio for health systems. Effective outpatient interventions that improve diabetes control and process outcomes are multi-level, targeting the patient, provider, and healthcare system simultaneously and integrate community health workers as a liaison between the patient and community-based healthcare resources. A multi-faceted approach to diabetes management is also effective in the inpatient setting. Interventions shown to promote safe and effective glycemic control and use of evidence-based glucose management practices include provider reminder and clinical decision support systems, automated computer order entry, provider education, and organizational change. Summary Future studies should examine the cost-effectiveness of multi-faceted outpatient and inpatient diabetes management programs to determine the best financial models for incorporating them into diabetes population health strategies.

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Measuring the Triple Aim: A Call for Action

Cited by 63 publications

References 1 publication

WITHDRAWN: The impact of care management information technology model on quality of care after percutaneous coronary intervention: “Bridging the Divides”

WITHDRAWN: The impact of care management information technology model on quality of care after percutaneous coronary intervention: “Bridging the Divides”

Experts' Perspectives Toward a Population Health Approach for Children With Medical Complexity

The Case for Diabetes Population Health Improvement: Evidence-Based Programming for Population Outcomes in Diabetes

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