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Table 3 Number and percentage of GPs and PNs that perceive barriers to using NHGDoc

From: Exposure to and experiences with a computerized decision support intervention in primary care: results from a process evaluation

  GPs (N = 112) N (%) N of valid responses PN (n = 52) N (%) N of valid responses
Knowledge-related barriers
 Knowledge of existence of NHGDoc 2 (2 %) 111 9 (18 %) 50
  Knowledge of basic functions
   Alerts 1 (1 %) 109 0 (0 %) 40
   Feedback 45 (41 %) 109 22 (55 %) 40
  Knowledge of personalization functions
   My NHGDoc 34 (31 %) 109 16 (40 %) 40
   Alerts settings 50 (46 %) 109 26 (65 %) 40
   Reporting settings 56 (51 %) 109 28 (70 %) 40
Barriers related to the evaluation of the features of the CDSS
 Source and content of the CDSS
  Reliability of the source of the content 4 (4 %) 104 0 (0 %) 37
  Currentness of the content 11 (11 %) 101 6 (16 %) 37
  Relevance of the alert content for individual users, with varying needs across time 57 (58 %) 98 24 (62 %) 39
  Relevance of the alert content for different user groups 13 (13 %) 99 4 (11 %) 38
 Format/lay out of the CDSS content     
  Notification method of alerts (too intrusive) 7 (7 %) 105 1 (3 %) 38
  Notification method of alerts (uninformative) 17 (17 %) 100 4 (11 %) 37
  Readability of the alert text (too wordy/verbose) 15 (15 %) 98 2 (5 %) 38
 Functionality of the CDSS
  Responsiveness of the system (retrieval of an alert takes too long) 32 (33 %) 98 14 (38 %) 37
  Intensity of alerts (low threshold for triggering alerts) 39 (40 %) 98 12 (32 %) 38
  Flexibility (lack of adjustability to personal preferences) 16 (18 %) 90 7 (23 %) 30
  Learning capacity of the system (only fixed rules are used) 84 (80 %) 105 27 (75 %) 36
External barriers interacting with the CDSS
 Patient-related factors
  Doctor-patient communication (too much time spent on the computer during consultation) 26 (26 %) 101 8 (22 %) 37
  Relevance of alert content for patient (discrepancy between patient’s reason for visit and alert content) 5 (5 %) 100 3 (8 %) 37
 Environmental factors
  Limited time available (during and after consultation) 61 (60 %) 101 6 (16 %) 37
  Too much additional work required (during and after consultation) 61 (60 %) 100 10 (27 %) 37
  Lack of integration with other systems (no direct links to follow-up actions) 25 (27 %) 93 7 (21 %) 34
  Fear for misuse of data (patient data and medical practice) by third parties (i.e. health insurers) 11 (11 %) 104 3 (8 %) 36