This study analyzed patient adoption of secure messaging to update medication list in an ambulatory care setting. The objective was to establish demographic differences between users and non-users of secure messaging for medications list update. Efficiency of secure messaging for the updates was compared to fax and telephone based updates.
The study used a retrospective, cross-sectional study of patient medical records and pharmacy call logs at Mayo Clinic, Arizona from December 2012 to May 2013, approximately one year after organizing a pharmacy call center for medication updates. A subgroup analysis during a 2-week period was used to measure time to complete update.
Main dependent variable is the frequency of medication list updates over the study duration. Technician time required for the update was also utilized.
A total of 22,495 outpatient visits were drawn and 18,702 unique patients were included in the primary analysis. A total of 402 unique patients were included in sub-group analysis. Secure message response rate (49.5%) was statistically significantly lower than that for phone calls (54.8%, p<0.001). Time to complete the update was significantly higher for faxed medication lists (Wilcoxon rank-sum tests, p<0.001) when compared to those for secure message or phone.
Around 50% of the patients respond to medication update requests before office visit when contacted using phone calls and secure messages. Given the demographic differences between users and non-users of patient portal, mixed mode communication with patients is likely to be the norm for the foreseeable future in outpatient settings.
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 July 2015.
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#16,721,717
of 25,374,647 outputs
Outputs from International Journal of Medical Informatics
#1,256
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#158,804
of 280,651 outputs
Outputs of similar age from International Journal of Medical Informatics
#18
of 30 outputs
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