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Economic analysis of a single institutional review board data exchange standard in multisite clinical studies.

Publication ,  Journal Article
Eisenstein, EL; Walden, A; Donovan, K; Zozus, MN; Yu, FB; West, VL; Hammond, WE; Muhlbaier, LH
Published in: Contemp Clin Trials
November 2022

BACKGROUND: Single Institutional Review Boards (sIRB) are not achieving the benefits envisioned by the National Institutes of Health. The recently published Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) data exchange standard seeks to improve sIRB operational efficiency. METHODS AND RESULTS: We conducted a study to determine whether the use of this standard would be economically attractive for sIRB workflows collectively and for Reviewing and Relying institutions. We examined four sIRB-associated workflows at a single institution: (1) Initial Study Protocol Application, (2) Site Addition for an Approved sIRB study, (3) Continuing Review, and (4) Medical and Non-Medical Event Reporting. Task-level information identified personnel roles and their associated hour requirements for completion. Tasks that would be eliminated by the data exchange standard were identified. Personnel costs were estimated using annual salaries by role. No tasks would be eliminated in the Initial Study Protocol Application or Medical and Non-Medical Event Reporting workflows through use of the proposed data exchange standard. Site Addition workflow hours would be reduced by 2.50 h per site (from 15.50 to 13.00 h) and Continuing Review hours would be reduced by 9.00 h per site per study year (from 36.50 to 27.50 h). Associated costs savings were $251 for the Site Addition workflow (from $1609 to $1358) and $1033 for the Continuing Review workflow (from $4110 to $3076). CONCLUSION: Use of the proposed HL7 FHIR® data exchange standard would be economically attractive for sIRB workflows collectively and for each entity participating in the new workflows.

Duke Scholars

Published In

Contemp Clin Trials

DOI

EISSN

1559-2030

Publication Date

November 2022

Volume

122

Start / End Page

106953

Location

United States

Related Subject Headings

  • Public Health
  • Humans
  • Health Level Seven
  • General Clinical Medicine
  • Ethics Committees, Research
  • Electronic Health Records
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Eisenstein, E. L., Walden, A., Donovan, K., Zozus, M. N., Yu, F. B., West, V. L., … Muhlbaier, L. H. (2022). Economic analysis of a single institutional review board data exchange standard in multisite clinical studies. Contemp Clin Trials, 122, 106953. https://doi.org/10.1016/j.cct.2022.106953
Eisenstein, Eric L., Anita Walden, Katrina Donovan, Meredith N. Zozus, Feliciano B. Yu, Vivian L. West, W Ed Hammond, and Lawrence H. Muhlbaier. “Economic analysis of a single institutional review board data exchange standard in multisite clinical studies.Contemp Clin Trials 122 (November 2022): 106953. https://doi.org/10.1016/j.cct.2022.106953.
Eisenstein EL, Walden A, Donovan K, Zozus MN, Yu FB, West VL, et al. Economic analysis of a single institutional review board data exchange standard in multisite clinical studies. Contemp Clin Trials. 2022 Nov;122:106953.
Eisenstein, Eric L., et al. “Economic analysis of a single institutional review board data exchange standard in multisite clinical studies.Contemp Clin Trials, vol. 122, Nov. 2022, p. 106953. Pubmed, doi:10.1016/j.cct.2022.106953.
Eisenstein EL, Walden A, Donovan K, Zozus MN, Yu FB, West VL, Hammond WE, Muhlbaier LH. Economic analysis of a single institutional review board data exchange standard in multisite clinical studies. Contemp Clin Trials. 2022 Nov;122:106953.
Journal cover image

Published In

Contemp Clin Trials

DOI

EISSN

1559-2030

Publication Date

November 2022

Volume

122

Start / End Page

106953

Location

United States

Related Subject Headings

  • Public Health
  • Humans
  • Health Level Seven
  • General Clinical Medicine
  • Ethics Committees, Research
  • Electronic Health Records
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences