Some problems in clinic function recur because of unexpected value differences between patients, faculty, and residents. Cultural consensus analysis (CCA) is a method used by anthropologists to identify groups with shared values. After conducting an ethnographic study and using focus groups, we developed and validated a CCA tool for use in clinics. Using this instrument, we identified distinct groups with 6 important value differences between those groups. An analysis of these value differences suggested specific and pragmatic interventions to improve clinic functioning. The instrument has also performed well in preliminary tests at another clinic.

Aging is associated with an increase in circulating inflammatory factors. One, the cytokine stromal cell-derived factor 1 (SDF-1 or CXCL12), is critical to stem cell mobilization, migration, and homing as well as to bone marrow stem cell (BMSC), osteoblast, and osteoclast function. SDF-1 has pleiotropic roles in bone formation and BMSC differentiation into osteoblasts/osteocytes, and in osteoprogenitor cell survival. The objective of this study was to examine the association of plasma SDF-1 in participants in the cardiovascular health study (CHS) with bone mineral density (BMD), body composition, and incident hip fractures. In 1536 CHS participants, SDF-1 plasma levels were significantly associated with increasing age (p < 0.01) and male gender (p = 0.04), but not with race (p = 0.63). In multivariable-adjusted models, higher SDF-1 levels were associated with lower total hip BMD (p = 0.02). However, there was no significant association of SDF-1 with hip fractures (p = 0.53). In summary, circulating plasma levels of SDF-1 are associated with increasing age and independently associated with lower total hip BMD in both men and women. These findings suggest that SDF-1 levels are linked to bone homeostasis.

Background

Recurrent operational problems in teaching clinics may be caused by the different medical preferences of patients, residents, faculty, and administrators. These preference differences can be identified by cultural consensus analysis (CCA), a standard anthropologic tool.

Objective

This study tests the exportability of a unique CCA tool to identify site-specific operational problems at 5 different VA teaching clinics.

Design

We used the CCA tool at 5 teaching clinics to identify group preference differences between the above groups. We averaged the CCA results for all 5 sites. We compared each site with the averages in order to isolate each site's most anomalous responses. Major operational problems were independently identified by workgroups at each site. Cultural consensus analysis performance was then evaluated by comparison with workgroup results.

Participants

Twenty patients, 10 residents, 10 faculty, members, and 10 administrators at each site completed the CCA. Workgroups included at minimum: a patient, resident, faculty member, nurse, and receptionist or clinic administrator.

Approach

Cultural consensus analysis was performed at each site. Problems were identified by multidisciplinary workgroups, prioritized by anonymous multivoting, and confirmed by limited field observations and interviews. Cultural consensus analysis results were compared with workgroup results.

Results

The CCA detected systematic, group-specific preference differences at each site. These were moderately to strongly associated with the problems independently identified by the workgroups. The CCA proved to be a useful tool for exploring the problems in depth and for detecting previously unrecognized problems.

Conclusions

This CCA worked in multiple VA sites. It may be adapted to work in other settings or to better detect other clinic problems.

In this study, the impact of the apolipoprotein B mRNA-editing catalytic subunit-like (APOBEC) enzyme APOBEC3B (A3B) on epidermal growth factor receptor (EGFR)-driven lung cancer was assessed. A3B expression in EGFR mutant (EGFRmut) non-small-cell lung cancer (NSCLC) mouse models constrained tumorigenesis, while A3B expression in tumors treated with EGFR-targeted cancer therapy was associated with treatment resistance. Analyses of human NSCLC models treated with EGFR-targeted therapy showed upregulation of A3B and revealed therapy-induced activation of nuclear factor kappa B (NF-κB) as an inducer of A3B expression. Significantly reduced viability was observed with A3B deficiency, and A3B was required for the enrichment of APOBEC mutation signatures, in targeted therapy-treated human NSCLC preclinical models. Upregulation of A3B was confirmed in patients with NSCLC treated with EGFR-targeted therapy. This study uncovers the multifaceted roles of A3B in NSCLC and identifies A3B as a potential target for more durable responses to targeted cancer therapy.