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1.
Popul Health Manag ; 24(6): 691-698, 2021 12.
Article in English | MEDLINE | ID: mdl-33989061

ABSTRACT

Many health systems are engaging in pay-for-performance agreements with payers that focus primarily on improving ambulatory preventive screenings. These also are referred to as gaps in care. Gaps in care are typically measured by the Healthcare Effectiveness Data and Information Set measures of health care quality. To address gaps in care effectively, the physician-led Gaps in Care program at Northwell Health works to improve processes related to measurement, data attribution, patient outreach, and patient engagement. Following a structured framework to address patient gaps in care is a successful strategy for accomplishing complex value-based care delivery.


Subject(s)
Physicians , Reimbursement, Incentive , Delivery of Health Care , Humans , Quality of Health Care
2.
Popul Health Manag ; 22(6): 480-487, 2019 12.
Article in English | MEDLINE | ID: mdl-30855210

ABSTRACT

This case study describes a multistage approach applied to evaluation of an employee wellness program at Northwell Health. The paper describes a framework that other large employers may adopt in their wellness program evaluations. Evaluators worked with Northwell to develop, tailor, and apply a structure-process-outcome framework aligned with the organization's specific goals. Analyses of structural, process, and outcome variables will provide Northwell with valuable information about strengths and weaknesses of its wellness program. The measurement and evaluation framework can serve as a model for businesses aspiring to improve their workplace programs. This framework provides businesses with the opportunity to analyze key elements that need to be addressed collectively to gain a complete picture of program implementation processes and subsequent health and business outcomes.


Subject(s)
Health Promotion/standards , Occupational Health , Program Evaluation/methods , Workplace , Health Personnel/organization & administration , Health Personnel/statistics & numerical data , Humans , Models, Organizational
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