Community-based health information technology alliances: potential predictors of early sustainability. Academic Article uri icon

Overview

abstract

  • OBJECTIVE: To determine potential predictors of sustainability among community-based organizations that are implementing health information technology (HIT) with health information exchange, in a state with significant funding of such organizations. STUDY DESIGN: A longitudinal cohort study of community-based organizations funded through the first phase of the $440 million Healthcare Efficiency and Affordability Law for New Yorkers program. METHODS: We administered a baseline telephone survey in January and February 2007, using a novel instrument with open-ended questions, and collected follow-up data from the New York State Department of Health regarding subsequent funding awarded in March 2008. We used logistic regression to determine associations between 18 organizational characteristics and subsequent funding. RESULTS: All 26 organizations (100%) responded. Having the alliance led by a health information organization (odds ratio [OR] 11.4, P = .01) and having performed a community-based needs assessment (OR 5.1, P = .08) increased the unadjusted odds of subsequent funding. Having the intervention target the long-term care setting (OR 0.14, P = .03) decreased the unadjusted odds of subsequent funding. In the multivariate model, having the alliance led by a health information organization, rather than a healthcare organization, increased the odds of subsequent funding (adjusted OR 6.4; 95% confidence interval 0.8, 52.6; P = .08). CONCLUSION: Results from this longitudinal study suggest that both health information organizations and healthcare organizations are needed for sustainable HIT transformation.

publication date

  • April 1, 2011

Research

keywords

  • Community Health Services
  • Health Care Coalitions
  • Medical Informatics
  • Medical Records Systems, Computerized
  • Regional Medical Programs

Identity

Scopus Document Identifier

  • 79960218797

PubMed ID

  • 21615199

Additional Document Info

volume

  • 17

issue

  • 4