Objectives: To assess feasibility of methods for a future study of complementary and alternative medicine (CAM) use by cancer patients treated in conventional health care settings. Methods: Patients aged 18 years and older, fluent in English or French, and diagnosed with cancer from St. Mary's Hospital Center, Montreal, Canada participated. Feasibility was measured by the rates of participation and CAM use in the past 1 and 12 months. Following the survey, one patient focus group was held to better understand cancer patient perspectives on discussions of CAM that occur or not with their family physicians. Results: Of 103 patients approached, 100 (97.1%; 77% female, 87% white) participated. Overall, 86% and 91% of respondents used at least one CAM in the past 1 and 12 months, respectively. More patients with breast compared with colorectal and other cancers (90.2%, 86.2%, and 80%, respectively) used CAM in the previous year. In the past 1 and 12 months, natural health products were used by 70% and 80% of respondents, respectively; mind-body therapies by 61% and 64%, respectively, and CAM practitioners by 11% and 29%, respectively. More than 98% of patients used CAM to improve quality of life and 68% disclosed CAM use to their physicians. Four of 5 focus group participants used CAM. Patient-physician CAM discussions varied from receiving a CAM referral to complete dismissal of the topic. Conclusion: Recruitment methods were well accepted but a sampling strategy stratified by sex and ethnicity will ensure sufficient representation by males and non-whites. Whereas disclosure of natural health products use is occurring, informative CAM discussion is not.

Many doctors do not change geographical region in their successive career moves, and recent cohorts appear less inclined to do so.

BackgroundThere are few published standards or methodological guidelines for integrating Data Quality Assurance (DQA) protocols into large-scale health systems research trials, especially in resource-limited settings. The BetterBirth Trial is a matched-pair, cluster-randomized controlled trial (RCT) of the BetterBirth Program, which seeks to improve quality of facility-based deliveries and reduce 7-day maternal and neonatal mortality and maternal morbidity in Uttar Pradesh, India. In the trial, over 6300 deliveries were observed and over 153,000 mother-baby pairs across 120 study sites were followed to assess health outcomes. We designed and implemented a robust and integrated DQA system to sustain high-quality data throughout the trial.MethodsWe designed the Data Quality Monitoring and Improvement System (DQMIS) to reinforce six dimensions of data quality: accuracy, reliability, timeliness, completeness, precision, and integrity. The DQMIS was comprised of five functional components: 1) a monitoring and evaluation team to support the system; 2) a DQA protocol, including data collection audits and targets, rapid data feedback, and supportive supervision; 3) training; 4) standard operating procedures for data collection; and 5) an electronic data collection and reporting system. Routine audits by supervisors included double data entry, simultaneous delivery observations, and review of recorded calls to patients. Data feedback reports identified errors automatically, facilitating supportive supervision through a continuous quality improvement model.ResultsThe five functional components of the DQMIS successfully reinforced data reliability, timeliness, completeness, precision, and integrity. The DQMIS also resulted in 98.33% accuracy across all data collection activities in the trial. All data collection activities demonstrated improvement in accuracy throughout implementation. Data collectors demonstrated a statistically significant (p = 0.0004) increase in accuracy throughout consecutive audits. The DQMIS was successful, despite an increase from 20 to 130 data collectors.ConclusionsIn the absence of widely disseminated data quality methods and standards for large RCT interventions in limited-resource settings, we developed an integrated DQA system, combining auditing, rapid data feedback, and supportive supervision, which ensured high-quality data and could serve as a model for future health systems research trials. Future efforts should focus on standardization of DQA processes for health systems research.Trial RegistrationClinicalTrials.gov identifier, NCT02148952. Registered on 13 February 2014.

Hospital admission rates for elective operation on inguinal hernia without obstruction, for all ages combined, have been relatively stable over five decades, but this masked big differences between age groups. Rates of obstructed hernia have declined over time, particularly in the early years covered by the study, and have not shown an increase associated with the recent fall in elective surgery for hernia repair.