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Electronic health record interventions at the point of care improve documentation of care processes and decrease orders for genetic tests commonly ordered by nongeneticists

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Genet Med
  • Personal Author:
  • Description:
    Objective ; To determine whether electronic health record (EHR) tools improve documentation of pre- and postanalytic care processes for genetic tests ordered by nongeneticists. ; Methods ; We conducted a nonrandomized, controlled, pre-/postintervention study of EHR point-of-care tools (informational messages and template report) for three genetic tests. Chart review assessed documentation of genetic testing processes of care, with points assigned for each documented item. Multiple linear and logistic regressions assessed factors associated with documentation. ; Results ; Preimplementation, there were no significant site differences (P > 0.05). Postimplementation, mean documentation scores increased (5.9 (2.1) vs. 5.0 (2.2); P = 0.0001) and records with clinically meaningful documentation increased (score >5: 59 vs. 47%; P = 0.02) at the intervention versus the control site. Pre- and postimplementation, a score >5 was positively associated with abnormal test results (OR = 4.0; 95% CI: 1.8–9.2) and trainee provider (OR = 2.3; 95% CI: 1.2–4.6). Postimplementation, a score >5 was also positively associated with intervention site (OR = 2.3; 95% CI: 1.1–5.1) and specialty clinic (OR = 2.0; 95% CI: 1.1–3.6). There were also significantly fewer tests ordered after implementation (264/100,000 vs. 204/100,000; P = 0.03), with no significant change at the control site (280/100,000 vs. 257/100,000; P = 0.50). ; Conclusions ; EHR point-of-care tools improved documentation of genetic testing processes and decreased utilization of genetic tests commonly ordered by nongeneticists.
  • Subjects:
  • Source:
    Genet Med. 19(1):112-120
  • Pubmed ID:
    27362912
  • Pubmed Central ID:
    PMC6504173
  • Document Type:
  • Funding:
  • Volume:
    19
  • Issue:
    1
  • Download URL:
  • File Type:
    Filetype[PDF - 112.61 KB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:ee02c34ca3309ecb779a54388434fca282373fcbaf18ac218a02754975b1f9d3
File Language:
English
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