Approaches for overcoming barriers to cross-sector data sharing

Am J Manag Care. 2022 Jan;28(1):11-16. doi: 10.37765/ajmc.2022.88811.

Abstract

Objectives: To characterize factors influencing the development and sustainability of data sharing in the Mid-Ohio Farmacy (MOF), a produce referral program implemented in partnership between a community-based organization (the Mid-Ohio Food Collective ["Food Collective"]) and an academic medical center (The Ohio State University Wexner Medical Center [OSUWMC]).

Study design: We used an in-depth case study approach to identify challenges that arose during implementation of the MOF and related solutions via semistructured interviews with representatives of both organizations (May-September 2020).

Methods: Key informants from OSUWMC (n = 20) and the Food Collective (n = 11) were identified using a combination of purposive and convenience sampling; they included administrators, project champions, clinical providers, and food pantry representatives. Interview transcripts were coded using a deductive dominant approach guided by a logic model aimed at determining the resources and activities relevant to the development of the partnership.

Results: Challenges of cross-sector data sharing fit into 3 themes: data sharing regulations, data exchange capabilities, and cross-sector data integration. Overcoming these challenges required creative workarounds-for example, linking patients across organizations was done via establishment of a unique, partnership-specific patient identifier, which was incorporated into the health system's electronic health record for continuity.

Conclusions: Our findings suggest that current regulatory frameworks are misspecified to the growing interest in cross-sector partnerships between health care and community-based organizations. Future efforts to support these relationships should consider clarifying rules around data sharing and increasing Medicaid support for nonmedical, health-related social needs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Delivery of Health Care*
  • Humans
  • Information Dissemination*
  • Ohio
  • United States