Phosphate (P) is an important nutrient potentially limiting for primary productivity, yet, we currently know little about the relationship between growth rate and physiological response to P limitation in abundant marine Cyanobacteria. Thus, the aim of this research was to determine how variation in growth rate affected the physiology of marine Synechococcus WH8102 and CC9311 when growing under high N:P conditions. Experiments were carried out in chemostats with a media input N:P of 441 and we estimated the half saturation concentration for growth under P limiting conditions (K s,p ) and cellular C:N:P ratios. The K s,p values were the lowest measured for any phytoplankton and on par with ambient P concentrations in oligotrophic regions. We also observed that both strains were able draw down P below 3 nM. Both K s,p and drawdown concentration were lower for the open ocean vs. coastal Synechococcus strain, which may be linked to differences in P acquisition genes in these strains. Cellular C:P and N:P ratios were significantly higher in relation to the Redfield ratio for both Synechococcus strains but we saw no difference in these ratios among growth rates or strains. These results demonstrate that Synechococcus can proliferate under very low P conditions and also that genetically different strains have unique physiological responses to P limitation.

Introduction: Varying intensity of advance care planning (ACP) interventions at the population level has not been compared among seriously ill patients in primary care. This project will implement, test, and disseminate real-world scalable ACP interventions among primary care clinics across three University of California Health systems. The three ACP interventions are (1) distribution of an advance directive (AD) with targeted ACP messaging, (2) the AD, messaging, plus prompting patients to engage with the Prepare For Your Care website (PREPARE), and (3) the AD, messaging, PREPARE, plus Care Coordinator engagement with patients and clinicians. Methods: We will identify a population cohort of seriously ill primary care patients and implement the ACP interventions using electronic health record (EHR) patient portals and postal mailings. Forty-five clinics across the three health systems will be cluster randomized to one of the three ACP interventions. The primary outcome for the population cohort is AD or Physician Orders for Life-Sustaining Treatment documentation in the EHR. A subset of the population cohort will be surveyed to assess patient-centered outcomes, including care consistent with goals at baseline, 12 months, and 24 months. Caregivers will be interviewed if patients are unable to be surveyed or die. ACP documentation, goal concordant care, and among decedents, health care utilization will be compared among intervention arms. Study Implementation: Challenges and Contributions: The project is guided by a Study Advisory Group and Community Advisory Groups at each site to ensure rigorous patient-centered methods and consistency of implementation. Intervention fidelity will be evaluated using the Reach, Efficacy, Adoption, Implementation, and Maintenance (RE-AIM) framework. Challenges to implementation of this three-site health system trial and to intervention fidelity stem from site/clinic/system cultures, increasing attention to end-of-life care from payers and regulators, and growing pressures by health systems to implement ACP interventions. Stakeholder engagement is required to ensure consistent interventions across sites.

Background

To improve medication adherence in cardiac patients, in partnership with a safety-net provider, this research team developed and evaluated a low-literacy medication education tool.

Methods

Using principles of community-based participatory research, the team developed a prototype of a low-literacy hospital discharge medication education tool, customizable for each patient, featuring instruction-specific icons and pictures of pills. In 2007, a randomized controlled clinical trial was performed, testing the tool's effect on posthospitalization self-reported medication adherence and knowledge, 2 weeks postdischarge in English- and Spanish-speaking safety-net inpatients. To validate the self-report measure, 4 weeks postdischarge, investigators collected self-reports of the number of pills remaining for each medication in a subsample of participants. Nurses rated tool acceptability.

Results

Among the 166/210 eligible participants (79%) completing the Week-2 interview, self-reported medication adherence was 70% (95% CI=62%, 79%) in intervention participants and 78% (95% CI=72%, 84%) in controls (p=0.13). Among the 85 participants (31%) completing the Week-4 interview, self-reported pill counts indicated high adherence (greater than 90%) and did not differ between study arms. Self-reported adherence was correlated with self-reported pill count in intervention participants (R=0.5, p=0.004) but not in controls (R=0.07, p=0.65). There were no differences by study arm in medication knowledge. The nurses rated the tool as highly acceptable.

Conclusions

Although the evaluation did not demonstrate the tool to have any effect on self-reported medication adherence, patients who received the schedule self-reported their medication adherence more accurately, perhaps indicating improved understanding of their medication regimen and awareness of non-adherence.

Predictive analytics in health is a complex, transdisciplinary field requiring collaboration across diverse scientific and stakeholder groups. Pilot implementation of participatory research to foster team science in predictive analytics through a partnered-symposium and funding competition. In total, 85 stakeholders were engaged across diverse translational domains, with a significant increase in perceived importance of early inclusion of patients and communities in research. Participatory research approaches may be an effective model for engaging broad stakeholders in predictive analytics.