Predictors of upper respiratory tract symptom risk: Differences between elite rugby union and league players.

This study examined possible predictors of upper respiratory tract symptom (URTS) episodes in elite rugby union and league players (n = 51) during intensive pre-season training. Baseline saliva and blood samples were collected in the first week of pre-season training for analysis of salivary secretory immunoglobulin A (SIgA) and cytomegalovirus. Thereafter, SIgA, URTS, internal training load and self-reported wellness data were repeatedly measured throughout a 10-week pre-season training period. Univariate frailty model analysis, which included 502 observations, was performed for each rugby code for the following independent predictor variables: SIgA concentration, internal training load, total wellness, sleep quantity, sleep quality and stress. Rugby union and league players experienced a similar number of URTS episodes; however, predictors of URTS episodes differed between the codes. No biomarkers or self-reported measures significantly predicted URTS risk in rugby union players, while reductions in self-reported total wellness (HR: 0.731, p = 0.004) and sleep quality (HR: 0.345, p = 0.001) predicted increased URTS risk in rugby league players. The findings from this study highlight that factors influencing URTS risk are perhaps sport specific and this may be attributed to different sporting demands and/or different management of players by team-practitioners.

Early surveillance is associated with less incidence and severity of breast cancer-related lymphedema compared with a traditional referral model of care.

BACKGROUND: Bioimpedance spectroscopy (BIS) has enabled the early identification of breast cancer-related lymphedema. In this study, differences in health service metrics and in the incidence of breast cancer-related lymphedema are evaluated in an early surveillance model of care compared with a traditional referral model of care. METHODS: In a retrospective analysis of data from 753 women who underwent BIS measures between January 1, 2007 and December 31, 2016, 188 women were assigned to the "early surveillance" group if they began lymphedema monitoring presurgery (n = 121) or within 90 days postsurgery (n = 67), and 285 women were assigned to the "traditional referral" group if they began monitoring after 90 days postsurgery. Health service metrics were calculated as the time to the first BIS measure after 90 days postsurgery, the median follow-up, and the number of health care visits. Lymphedema was diagnosed based on BIS measures. RESULTS: Women in the early surveillance group received lymphedema care significantly earlier than those in the traditional referral group. However, there was no difference in the number of visits per year to the clinic between groups. Significantly more women in the traditional referral group were diagnosed with clinical lymphedema (stage I-III, 39 % vs 14%; P < .001) and with greater severity (stage II-III, 24%) compared with those in the early surveillance group (4%). CONCLUSIONS: The current findings support the adoption of an early prospective surveillance model of care using BIS for the early detection and management of breast cancer-related lymphedema.

What factors predict outcome from an inpatient multidisciplinary chronic pain service? A prospective cohort study.

Objective To identify baseline factors associated with outcomes from an inpatient multidisciplinary pain management program (PMP) located in a bicultural area of Aotearoa New Zealand. Methods A prospective cohort study was undertaken involving 164 people with chronic pain who attended the PMP. Demographic, clinical, and psychosocial measures were obtained at baseline, whereas clinical and psychosocial outcome measures were also obtained at program discharge and 3-month follow up (N = 100). Multivariate analyses were used to determine baseline demographic variables that were associated with outcomes at discharge and follow up. Results Being male and working full-time were associated with poorer outcomes in select measures at discharge. At the 3-month follow up, Maori ethnicity, working full-time, being retired or unemployed, or having chronic widespread pain were associated with poorer outcomes for some measures, whereas those with rheumatoid arthritis had greater self-efficacy. Conclusions Sex, ethnicity, employment status, and patient condition impact clinical outcomes from the program and in the time from discharge to follow up. Program content and/or delivery should be altered to promote more equitable outcomes for all patients in the long term.

Impact of outpatient antibiotic use on carriage of ampicillin-resistant Escherichia coli.

Studies about the relationship between antibiotic consumption and carriage of antibiotic-resistant Escherichia coli in individual patients have yielded conflicting results. The goal of this study was to identify individual- and household-level factors associated with carriage of ampicillin (AMP)-resistant E. coli during consumption of a course of oral antibiotics. We enrolled outpatients and their families in a prospective household study of AMP-resistant or AMP-susceptible E. coli carriage. Two kinds of index patients were identified. Group 1 consisted of outpatients who were being initiated on a new antibiotic course at the time of a clinic visit, and group 2 consisted of outpatients not starting antibiotics. Each participant was asked to submit three stool swab samples (at baseline, week 1, and week 4) and to complete a questionnaire. Antimicrobial susceptibility testing was performed on each phenotypically distinct E. coli colony. The study included 149 group 1 households (total, 570 participants) and 38 group 2 households (total, 131 participants). AMP-resistant E. coli was recovered from 29% of stool samples. Observed associations with antibiotic exposure varied by drug class. Penicillins, which were the most frequently prescribed drug class, were associated with a modest increase in AMP-resistant E. coli carriage and a modest decrease in AMP-susceptible E. coli carriage. Neither change by itself was statistically significant. Macrolides were associated with reduced carriage of both AMP-resistant E. coli and AMP-susceptible E. coli (P < 0.05). Both AMP-resistant and AMP-susceptible E. coli demonstrated household clustering (P < 0.001). In summary, the overall effect of antibiotics on individual risk of carriage of AMP-resistant E. coli was small. However, even a modest alteration of the competitive balance between AMP-resistant and AMP-susceptible E. coli may promote population spread of resistant E. coli. Examining changes in both resistant and susceptible organisms in antibiotic-treated individuals and their close contacts improves understanding of antibiotic selection pressure.

Sensemaking of patient safety risks and hazards.

In order for organizations to become learning organizations, they must make sense of their environment and learn from safety events. Sensemaking, as described by Weick (1995), literally means making sense of events. The ultimate goal of sensemaking is to build the understanding that can inform and direct actions to eliminate risk and hazards that are a threat to patient safety. True sensemaking in patient safety must use both retrospective and prospective approach to learning. Sensemaking is as an essential part of the design process leading to risk informed design. Sensemaking serves as a conceptual framework to bring together well established approaches to assessment of risk and hazards: (1) at the single event level using root cause analysis (RCA), (2) at the processes level using failure modes effects analysis (FMEA) and (3) at the system level using probabilistic risk assessment (PRA). The results of these separate or combined approaches are most effective when end users in conversation-based meetings add their expertise and knowledge to the data produced by the RCA, FMEA, and/or PRA in order to make sense of the risks and hazards. Without ownership engendered by such conversations, the possibility of effective action to eliminate or minimize them is greatly reduced.

A simulation-based assessment of strategies to control Clostridium difficile transmission and infection.

BACKGROUND: Clostridium difficile is one of the most common and important nosocomial pathogens, causing severe gastrointestinal disease in hospitalized patients. Although "bundled" interventions have been proposed and promoted, optimal control strategies remain unknown. METHODS: We designed an agent-based computer simulation of nosocomial C. difficile transmission and infection, which included components such as: patients and health care workers, and their interactions; room contamination via C. difficile shedding; C. difficile hand carriage and removal via hand hygiene; patient acquisition of C. difficile via contact with contaminated rooms or health care workers; and patient antimicrobial use. We then introduced six interventions, alone and "bundled" together: aggressive C. difficile testing; empiric isolation and treatment of symptomatic patients; improved adherence to hand hygiene and contact precautions; improved use of soap and water for hand hygiene; and improved environmental cleaning. All interventions were tested using values representing base-case, typical intervention, and optimal intervention scenarios. FINDINGS: In the base-case scenario, C. difficile infection rates ranged from 8-21 cases/10,000 patient-days, with a case detection fraction between 32%-50%. Implementing the "bundle" at typical intervention levels had a large impact on C. difficile acquisition and infection rates, although intensifying the intervention to optimal levels had much less additional impact. Most of the impact came from improved hand hygiene and empiric isolation and treatment of suspected C. difficile cases. CONCLUSION: A "bundled" intervention is likely to reduce nosocomial C. difficile infection rates, even under typical implementation conditions. Real-world implementation of the "bundle" should focus on those components of the intervention that are likely to produce the greatest impact on C. difficile infection rates, such as hand hygiene and empiric isolation and treatment of suspected cases.

Assessing patient safety in the United States: challenges and opportunities.

BACKGROUND: In 1999, the US Congress mandated the Agency for Healthcare Research and Quality (AHRQ), Department of Health and Human Services (DHHS), to report annually to the nation about healthcare quality. One chapter in the National Healthcare Quality Report (NHQR) is focused on patient safety. OBJECTIVES: The objectives of this study were to describe the challenges in reporting the national status on patient safety for the first NHQR and discuss emerging opportunities to improve the comprehensiveness and reliability of future reporting. RESEARCH DESIGN: This study is a selective review of definitions, frameworks, data sources, measures, and emerging developments for assessing patient safety in the United States. RESULTS: Available data and measures for patient safety assessment in the nation are inadequate, especially for comparing regions and subpopulations and for trend analysis. However, many opportunities are emerging from the recently increased investments in patient safety research and many ongoing safety improvement efforts in the private sector and at the federal, state, and local government levels. CONCLUSION: There are many challenges in assessing national performance on patient safety today. Ongoing developments on multiple fronts will provide data and measures for more accurate and more comprehensive assessments of patient safety for future NHQRs.