ObjectivesDespite the rapid proliferation of robot-assisted radical prostatectomy (RARP), little attention has been paid to patient utilisation of this newest surgical innovation and barriers that may result in disparities in access to RARP. The goal of this study is to identify demographic and economic factors that decrease the likelihood of patients with prostate cancer (PC) receiving RARP.Design, setting and participantsA retrospective, pooled, cross-sectional study was conducted using 2009–2011 California State Inpatient Data and American Hospital Association data. Patients who were diagnosed with PC and underwent radical prostatectomy (RP) from 225 hospitals in California were identified, using ICD-9-CM diagnosis and procedure codes.Primary outcome measuresPatients’ likelihood of receiving RARP was associated with patient and hospital characteristics using the two models: (1) between-hospital and (2) within-hospital models. Multivariate binomial logistic regression was used for both models. The first model predicted patient access to RARP-performing hospitals versus non-RARP-performing hospitals, after adjusting for patient and hospital-level covariates (between-hospital variation). The second model examined the likelihood of patients receiving RARP within RARP-performing hospitals (within-hospital variation).ResultsAmong 20 411 patients who received RP, 13 750 (67.4%) received RARP, while 6661 (32.6%) received non-RARP. This study found significant differences in access to RARP-performing hospitals when race/ethnicity, income and insurance status were compared, after controlling for selected confounding factors (all p<0.001). For example, Hispanic, Medicare and Medicaid patients were more likely to be treated at non-RARP-performing hospitals versus RARP-performing hospitals. Within RARP-performing hospitals, Medicaid patients had 58% lower odds of receiving RARP versus non-RARP (adjusted OR 0.42, p<0.001). However, there were no significant differences by race/ethnicity or income within RARP-performing hospitals.ConclusionsSignificant differences exist by race/ethnicity and payer status in accessing RARP-performing hospitals. Furthermore, payer status continues to be an important predictor of receiving RARP within RARP-performing hospitals.

Studies reported various associations between specific epigenetic findings and PTB, although methodological concerns limited results' validity. Additional high quality studies are needed to assess the repeatability of these findings. The STROBE guidelines can be used to improve the quality of reporting.

No abstract

We reviewed 27 studies on adults with a refugee background resettled from Africa published between 1999 and 2017 to appraise their methodological issues for survey research. Out of 27 studies, eleven used a single sampling method (referral = 1, convenience = 10), and 16 relied on multiple sampling methods, many of which were combinations of referral and convenience. The two most salient recruitment strategies found were building trusted relationships with the community (n = 15), and using recruiters who were culturally and linguistically matched to the refugee communities of interest (n = 14). Fifteen studies used existing data collection instruments, while in 13 studies, researchers developed their own data collection instruments. In-person or phone interviews using bilingual interviewers (n = 21) were the most frequently used mode of data collection, followed by a self-administered survey (n = 7). Our review presents methodological gaps in current refugee health studies, such as limited use of probability sampling approach due to system barriers, lack of information in community engagement and recruitment processes, and insufficient considerations of unique culture and experiences of refugee communities when developing or adapting the instruments. Efforts can be made to guide and facilitate appropriate reporting and development of more scientifically robust survey methodologies for refugee health studies, as well as to improve registration system infrastructure that may help identify these hidden populations more effectively.

No abstract