The purpose of this case study was to evaluate the information systems, personnel, and processes involved in mobile mammography settings, and offer recommendations to improve efficiency and satisfaction among patients and staff. Data includes on-site observations, interviews, and an electronic medical record review of a hospital who offers both mobile and fixed facility mammography services to their community. The optimal expectations for the process of mobile mammography from multiple perspectives were defined as (1) patient receives mammogram the day of their visit, (2) patient has efficient intake process with little wait time, (3) follow-up is completed and timely, (4) site contact and van staff are satisfied with van visit and choose to schedule future visits, and (5) the MMU is able to assess its performance and set goals for improvement. Challenges that prevent the realization of those expectations include a low patient pre-registration rate, difficulty obtaining required physician orders, frequent information system downtime/Internet connectivity issues, ill-defined organizational communication/roles, insufficient site host/patient education, and disparate organizational and information systems. Our recommendations include employing a dedicated mobile mammography team for end-to-end oversight, mitigating for system connectivity issues, allowing for patient self-referrals, integrating scheduling and registration processes, and a focused approach to educating site hosts and respective patients about expectations for the day of the visit. The MMU is an important community resource; we recommend simple process improvements and information flow improvements to further enable the MMU׳s goals.
This research output has an Altmetric Attention Score of 4. 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 17 July 2015.
All research outputs
#12,301,216
of 34,410,798 outputs
Outputs from Healthcare: The Journal of Delivery Science and Innovation
#288
of 472 outputs
Outputs of similar age
#137,392
of 410,090 outputs
Outputs of similar age from Healthcare: The Journal of Delivery Science and Innovation
#4
of 6 outputs
Altmetric has tracked 34,410,798 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 410,090 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.
