BACKGROUND: Cancer pain is highly prevalent and often managed in primary care or by oncology providers in combination with primary care providers. OBJECTIVES: To understand interdisciplinary provider experiences coordinating opioid pain management for patients with chronic cancer-related pain in a large integrated healthcare system. DESIGN: Qualitative research. PARTICIPANTS: We conducted 20 semi-structured interviews with interdisciplinary providers in two large academically affiliated VA Medical Centers and their associated community-based outpatient clinics. Participants included primary care providers (PCPs) and oncology-based personnel (OBPs). APPROACH: We deductively identified 94 examples of care coordination for cancer pain in the 20 interviews. We secondarily used an inductive open coding approach and identified themes through constant comparison coming to research team consensus. RESULTS: Theme 1: PCPs and OBPs generally believed one provider should handle all opioid prescribing for a specific patient, but did not always agree on who that prescriber should be in the context of cancer pain. Theme 2: There are special circumstances where having multiple prescribers is appropriate (e.g., a pain crisis). Theme 3: A collaborative process to opioid cancer pain management would include real-time communication and negotiation between PCPs and oncology around who will handle opioid prescribing. Theme 4: Providers identified multiple barriers in coordinating cancer pain management across disciplines. CONCLUSIONS: Our findings highlight how real-time negotiation about roles in opioid pain management is needed between interdisciplinary clinicians. Lack of cross-disciplinary role agreement may result in delays in clinically appropriate cancer pain management.

Xylem density is a physical property of wood that varies between individuals, species and environments. It reflects the physiological strategies of trees that lead to growth, survival and reproduction. Measurements of branch xylem density, ρ_x, were made for 1653 trees representing 598 species, sampled from 87 sites across the Amazon basin. Measured values ranged from 218 kg m⁻³for a Cordia sagotii (Boraginaceae) from Mountagne de Tortue, French Guiana to 1130 kg m⁻³ for an Aiouea sp. (Lauraceae) from Caxiuana, Central Pará, Brazil. Analysis of variance showed significant differences in average ρ_x across regions and sampled plots as well as significant differences between families, genera and species. A partitioning of the total variance in the dataset showed that species identity (family, genera and species) accounted for 33% with environment (geographic location and plot) accounting for an additional 26%; the remaining "residual" variance accounted for 41% of the total variance. Variations in plot means, were, however, not only accountable by differences in species composition because xylem density of the most widely distributed species in our dataset varied systematically from plot to plot. Thus, as well as having a genetic component, branch xylem density is a plastic trait that, for any given species, varies according to where the tree is growing in a predictable manner. Within the analysed taxa, exceptions to this general rule seem to be pioneer species belonging for example to the Urticaceae whose branch xylem density is more constrained than most species sampled in this study. These patterns of variation of branch xylem density across Amazonia suggest a large functional diversity amongst Amazonian trees which is not well understood.

Forest structure and dynamics vary across the Amazon Basin in an east-west gradient coincident with variations in soil fertility and geology. This has resulted in the hypothesis that soil fertility may play an important role in explaining Basin-wide variations in forest biomass, growth and stem turnover rates. Soil samples were collected in a total of 59 different forest plots across the Amazon Basin and analysed for exchangeable cations, carbon, nitrogen and pH, with several phosphorus fractions of likely different plant availability also quantified. Physical properties were additionally examined and an index of soil physical quality developed. Bivariate relationships of soil and climatic properties with above-ground wood productivity, stand-level tree turnover rates, above-ground wood biomass and wood density were first examined with multivariate regression models then applied. Both forms of analysis were undertaken with and without considerations regarding the underlying spatial structure of the dataset. Despite the presence of autocorrelated spatial structures complicating many analyses, forest structure and dynamics were found to be strongly and quantitatively related to edaphic as well as climatic conditions. Basin-wide differences in stand-level turnover rates are mostly influenced by soil physical properties with variations in rates of coarse wood production mostly related to soil phosphorus status. Total soil P was a better predictor of wood production rates than any of the fractionated organic- or inorganic-P pools. This suggests that it is not only the immediately available P forms, but probably the entire soil phosphorus pool that is interacting with forest growth on longer timescales. A role for soil potassium in modulating Amazon forest dynamics through its effects on stand-level wood density was also detected. Taking this into account, otherwise enigmatic variations in stand-level biomass across the Basin were then accounted for through the interacting effects of soil physical and chemical properties with climate. A hypothesis of self-maintaining forest dynamic feedback mechanisms initiated by edaphic conditions is proposed. It is further suggested that this is a major factor determining endogenous disturbance levels, species composition, and forest productivity across the Amazon Basin.