Promoting blood donation through social media: Evidence from Brazil, India and the USA.

Social media has the potential to encourage prosocial behaviors at scale, yet very little causal evidence exists on the impact of related efforts. Blood donation is a particularly difficult, but essential prosocial behavior that is often critically undersupplied. We examine the effect of Facebook's blood donation tool on voluntary blood donation. We partnered with four major blood banks in the United States covering 363 collection facilities in 46 states and Washington, D.C. We tracked the tool's impact on blood donations during its staggered rollout on a sample of more than 47,000 facility-date observations from March 2019 to September 2019. The tool caused an increase of 0.55 total donations per facility per day (+4.0% [95% CI: 0.04%-8.0%]), and an increase of 0.15 donations from first-time donors per facility per day (+18.9% [95% CI: 4.7%-33.1%]). Longitudinal evidence from Brazil and India suggests the share of donors who both received a message from the tool and stated they were influenced by Facebook to donate increased from 0% to 14.1% [95% CI: 12.1%-16.2%] in the first year of the tool's deployment (i.e., September 2018 to August 2019). These meaningful increases, especially from first-time donors, demonstrate that social media platforms can play an important role in fostering offline prosocial behaviors that benefit the health and well-being of societies around the world.

Evaluating e-consultation implementations based on use and time-line across various specialties.

BACKGROUND: Electronic Consultation (e-consults) can provide improved access, enhance patient and provider satisfaction, and reduce beneficiary travel expenses. We explored how e-consults were implemented across three specialty areas, diabetes (Diab), gastroenterology (GI), and neurosurgery (Neuro), at two Veterans Affairs hospitals in terms of strategies for use and time-lines. METHODS: We conducted observations and electronically shadowed patient e-consultations submitted to a specialty care service by primary care provider(s) at the two sites during a thirteen-month period. We divided the e-consult process in each specialty into three broad milestones; Request (from primary to specialty), Response (from specialty back to primary), and Follow up (from primary to patient), and recorded the flow and time in each category. An overall hierarchy of e-consults was developed to illustrate the many ways an e-consult was used. The Kolmogorov-Smirnov test was used to compare the distribution of time across specialties. RESULTS: A total of 394 consults submitted between April 14, 2012 and May 2, 2013 were reviewed (Diab=152, GI=169, Neuro=73). Of the 152 diabetes specialty clinic e-consults, 35% required some sort of direct contact with the patient by the specialty clinic before a recommendation was provided. Overall, 58% of the e-consults were completed within 20days, while 68% were completed within 30days. The Response times between Diab and GI were significantly different (median=0 vs. 3days; p<0.0001) and so were Follow up times (median=0 vs. 4days; p<0.0001). All three stages were statistically different between Diab and Neuro; however, there was not enough evidence to suggest any differences between GI and Neuro. CONCLUSIONS: The use of an e-consult is likely to vary based on the specialty, but the often significant variations in time may continue to hinder prompt access to care. E-consult design, implementation, documentation, training, self-learning, and monitoring should be tailored to get the most benefit out of this system.

Impact of Diabetes E-Consults on Outpatient Clinic Workflow.

BACKGROUND: An e-consult is an electronic communication system between clinicians, usually a primary care physician (PCP) and a medical or surgical specialist, regarding general or patient-specific, low complexity questions that would not need an in-person consultation. The objectives of this study were to understand and quantify the impact of the e-consult initiative on outpatient clinic workflow and outcomes. METHODS: We collected data from 5 different Veterans Affairs (VA) outpatient clinics and interviewed several physicians and staff members. We then developed a simulation model for a primary care team at an outpatient clinic. A detailed experimental study was conducted to determine the effects of factors, such as e-consult demand, view-alert notification arrivals, walk-in patient arrivals, and PCP unavailability, on e-consult cycle time. RESULTS: Statistical tests indicated that 4 factors related to outpatient clinic workflow were significant, and levels within each of the 4 significant factors resulted in statistically different e-consult cycle times. The arrival rate of electronic notifications, along with patient walk-ins, had a considerable effect on cycle time. Splitting the workload of an unavailable PCP among the other PCPs, instead of the current practice of allocating it to a single PCP, increases the system's ability to handle a much larger e-consult demand. CONCLUSIONS: The full potential of e-consults can only be realized if the workflow at the outpatient clinics is designed or modified to support this initiative. This study furthers our understanding of how e-consult systems can be analyzed and alternative workflows tested using statistical and simulation modeling to improve care delivery and outcomes.

Maximizing the benefits of improved cookstoves: moving from acquisition to correct and consistent use.

The adoption of clean cooking technologies goes beyond mere product acquisition and requires attention to issues of cooking traditions, user engagement, gender dynamics, culture, and religion to effect correct and consistent use.