Jeroen van de Pol
31 Pharmacy in transition: A work sampling study of community pharmacists using smartphone technology 2 Data analysis using non-parametric Mann-Whitney U test showed no statistical differences between the activities registered by participants who did or did not complete the online survey. However, there were statistical differences between participants who responded within an hour on average compared to participants who did not (see supplementary material table 2). Invitation via the UPPER network and 400 pharmacists directly invited to participate 156 pharmacists agreed to participate generating 11,918 registered activities 91 pharmacists completed the online survey and provided 8582 registered activities 91 pharmacists with a total of 7848 registered activities remaining 65 pharmacists did not complete the online survey Not at work was registered 734 times. These were excluded Figure 1: Data flowchart. Table 2: Demographic data. Characteristic N = 91 Age in years (mean ± SD) 39.4 ± 10.7 Male gender 30 (33.0%) Working experience in years (mean ± SD) 14.4 ± 10.1 Graduation year (mean ± SD) 2002 ± 10 Type of pharmacist: Pharmacist owner Pharmacist in employment Locum pharmacist 27 (29.7%) 33 (36.3%) 31 (34.1%) Working hours per week (mean ± SD) 36.7 ± 7.32 Response rate on presented alerts (mean % ± SD) 72.4 ± 18.1
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