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. 2024 Oct 12;7(4):ooae101. doi: 10.1093/jamiaopen/ooae101

Table 1.

Participant characteristics.

Characteristic Participants (N = 24)
Recruitment site
  Montana 15 (62.5)
  Colorado 9 (37.5)
Setting
 Short term acute care hospital 9 (37.5)
 Critical Access Hospital 6 (25.0)
 Urban Indian Health Program 3 (12.5)
 Community managed care network 2 (8.3)
 Federally Qualified Health Center 2 (8.3)
 Health information exchange 1 (4.2)
 State rural health office 1 (4.2)
Age at time of interview (years) 45.5 ± 9.8
Female 16 (66.7)
Time since completion of terminal degree (years) 16.6 ± 10.2
Race
  White 20 (83.3)
  American Indian or Alaska Native 2 (8.3)
  Native Hawaiian or Pacific Islander 1 (4.2)
  Asian 1 (4.2)
Non-Hispanic Ethnicity 22 (91.7)
Education status, most advanced degree
  Professional degree 11 (45.8)
   PharmD 6
   MD/DO 2
   MPH 1
   MBA 1
   Other 1
  Undergraduate college degree 8 (33.3)
  Graduate degree 4 (16.7)
   MS 3
   PhD 1
  Other 1 (4.2)
Current job position/titlea
  Administration/leadership 12 (50.0)
  Informaticist 9 (37.5)
  Pharmacist 7 (29.2)
  Information technologies 6 (25.0)
  Nurse 3 (12.5)
  Physician 2 (8.3)
  Other 2 (8.3)
  Physician assistant/nurse practitioner 1 (4.2)
Participant job efforta
  Administration/leadership 17 (70.8)
  Informatics 16 (66.7)
  Clinical (patient-facing) 10 (41.7)
Primary EHR associated with participant’s organization
  MEDITECH 5 (20.8)
  Epic 4 (16.7)
  Cerner 4 (16.7)
  Multipleb 3 (12.5)
  Intergy 3 (12.5)
  eClinicalWorks (ECW) 2 (8.3)
  CPSI 2 (8.3)
  Health Share 1 (4.2)
Experience with PGx
  Novice 13 (54.2)
  None 9 (37.5)
  Intermediate 2 (8.3)
  Expert 0 (0.0)
Received formal training in PGx
  No 22 (91.7)
Presence of institutional-level clinical PGx testing at participant’s organization
  No 16 (66.7)
  Unsure/don’t know 7 (29.2)
  Yes, as part of clinical practice 1 (4.2)
  Yes, under the auspices of research 0 (0.0)
  Yes, both clinical practice and under the auspices of research 0 (0.0)

Data are presented as mean ± standard deviation (range) or N (%) and were recorded at the time of study visit, unless otherwise specified. Some percentages may be greater than 100% due to rounding.

a

Participants could choose more than one response; therefore, total percentage is greater than 100%.

b

Participants were associated with Community Care Networks which interacted with EHRs across multiple organizations.

Abbreviations: PharmD: Doctor of Pharmacy; MD: Doctor of Medicine; DO: Doctor of Osteopathic Medicine; MPH: Master of Public Health; MBA: Master of Business Administration; PGx: pharmacogenomics.