Gender norms and health: insights from global survey data.

Despite global commitments to achieving gender equality and improving health and wellbeing for all, quantitative data and methods to precisely estimate the effect of gender norms on health inequities are underdeveloped. Nonetheless, existing global, national, and subnational data provide some key opportunities for testing associations between gender norms and health. Using innovative approaches to analysing proxies for gender norms, we generated evidence that gender norms impact the health of women and men across life stages, health sectors, and world regions. Six case studies showed that: (1) gender norms are complex and can intersect with other social factors to impact health over the life course; (2) early gender-normative influences by parents and peers can have multiple and differing health consequences for girls and boys; (3) non-conformity with, and transgression of, gender norms can be harmful to health, particularly when they trigger negative sanctions; and (4) the impact of gender norms on health can be context-specific, demanding care when designing effective gender-transformative health policies and programmes. Limitations of survey-based data are described that resulted in missed opportunities for investigating certain populations and domains. Recommendations for optimising and advancing research on the health impacts of gender norms are made.

Crowdsourced Health Data: Comparability to a US National Survey, 2013-2015.

OBJECTIVES: To determine the generalizability of crowdsourced, electronic health data from self-selected individuals using a national survey as a reference. METHODS: Using the world's largest crowdsourcing platform in 2015, we collected data on characteristics known to influence cardiovascular disease risk and identified comparable data from the 2013 Behavioral Risk Factor Surveillance System. We used age-stratified logistic regression models to identify differences among groups. RESULTS: Crowdsourced respondents were younger, more likely to be non-Hispanic and White, and had higher educational attainment. Those aged 40 to 59 years were similar to US adults in the rates of smoking, diabetes, hypertension, and hyperlipidemia. Those aged 18 to 39 years were less similar, whereas those aged 60 to 75 years were underrepresented among crowdsourced respondents. CONCLUSIONS: Crowdsourced health data might be most generalizable to adults aged 40 to 59 years, but studies of younger or older populations, racial and ethnic minorities, or those with lower educational attainment should approach crowdsourced data with caution. Public Health Implications. Policymakers, the national Precision Medicine Initiative, and others planning to use crowdsourced data should take explicit steps to define and address anticipated underrepresentation by important population subgroups.

Long-Acting Reversible Contraceptive Placement Among Active-Duty U.S. Army Servicewomen.

OBJECTIVE: To quantify uptake of long-acting reversible contraceptives (LARC)-intrauterine devices (IUDs) and hormonal implants-among U.S. Army active-duty female soldiers and identify characteristics associated with uptake. METHODS: This retrospective cohort study used the Stanford Military Data Repository, which includes all digitally recorded health encounters for active-duty U.S. Army soldiers from 2011 to 2014. We analyzed data from women aged 18-44 years to assess rates of LARC initiation using medical billing codes. We then evaluated predictors of LARC initiation using multivariable regression. RESULTS: Among 114,661 servicewomen, 14.5% received a LARC method; among those, 60% received an IUD. Intrauterine device insertions decreased over the study period (38.7-35.9 insertions per 1,000 women per year, ß=0.14, 95% confidence interval [CI] -0.23 to -0.05, P<.05), whereas LARC uptake increased, driven by an increase in implant insertions (20.3-35.4/1,000 women per year, ß=0.41, CI 0.33-0.48, P<.001). Younger age was a positive predictor of LARC uptake: 32.4% of IUD users and 62.6% of implant users were in the youngest age category (18-22 years) compared with 9.6% and 2.0% in the oldest (36-44 years). The likelihood of uptake among the youngest women (compared with oldest) was most marked for implants (adjusted relative risk 7.12, CI 5.92-8.55; P<.001). A total of 26.2% of IUD users had one child compared with 13.2% among non-LARC users (adjusted relative risk 1.94, CI 1.85-2.04, P<.001). The majority (52.2%) of those initiating IUDs were married, which was predictive of uptake over never-married women (adjusted relative risk 1.52, CI 1.44-1.59, P<.001). CONCLUSION: Among servicewomen, we observed low but rising rates of LARC insertion, driven by increasing implant use. Unmarried and childless soldiers were less likely to initiate LARC. These findings are consistent with potential underutilization and a need for education about LARC safety and reversibility in a population facing unique consequences for unintended pregnancies.

UTILITY OF A GLUCOCORTICOID SPARING STRATEGY IN THE MANAGEMENT OF PATIENTS FOLLOWING TRANSSPHENOIDAL SURGERY.

OBJECTIVE: Following transsphenoidal surgery (TSS), it is important to assess for and manage adrenal insufficiency (AI). The goal of this study is to assess the efficacy and safety of a glucocorticoid (GC) sparing protocol to limit GC exposure in patients undergoing TSS. METHODS: Adult patients undergoing TSS (excluding Cushing disease) with adequate adrenal function prior to surgery underwent TSS without perioperative GC coverage. Following TSS, daily morning fasting serum cortisol levels were tested. GCs were administered at stress doses for serum cortisol <5 mcg/dL, between 5 and 12 mcg/dL in the presence of clinically significant symptoms of AI, or >12 mcg/dL with severe headache, nausea or vomiting, fatigue, anorexia, or hyponatremia. The primary endpoint was the use of GCs in the immediate postoperative period. RESULTS: Of 178 subjects, GCs were administered to 80 (45%) patients for the following indications: 31.3% for serum cortisol <5 mcg/dL; 36.3% for cortisol between 5 and 12 mcg/dL accompanied by symptoms or signs of AI; 8.8% for moderate to severe postoperative hyponatremia; and 7.5% for severe headache, nausea and vomiting, fatigue, or anorexia with cortisol >12 mcg/dL. Logistic regression analysis showed that longer length of hospital stay (odds ratio [OR] 1.22, confidence interval [CI] 1.02-1.45) and the presence of new postoperative anterior pituitary hormone deficiency (OR 3.3, CI 1.26-8.67) were associated with postoperative GC use. By 12 weeks, only 14% of subjects remained on GCs. There were no adverse events related to withholding GCs. CONCLUSION: Our protocol for managing GC replacement is both safe and effective for limiting GC exposure in patients undergoing TSS. ABBREVIATIONS: AI = adrenal insufficiency CI = confidence interval FSH = follicle-stimulating hormone GC = glucocorticoid GH = growth hormone IGF-1 = insulin-like growth factor-1 IV = intravenous LH = luteinizing hormone LOS = length of hospital stay OR = odds ratio TSS = transsphenoidal surgery.

Hand hygiene of medical students and resident physicians: predictors of attitudes and behaviour.

OBJECTIVES: We measured medical students' and resident trainees' hand hygiene behaviour, knowledge and attitudes in order to identify important predictors of hand hygiene behaviour in this population. METHODS: An anonymous, web-based questionnaire was distributed to medical students and residents at Stanford University School of Medicine in August of 2012. The questionnaire included questions regarding participants' behaviour, knowledge, attitude and experiences about hand hygiene. Behaviour, knowledge and attitude indices were scaled from 0 to 1, with 1 representing superior responses. Using multivariate regression, we identified positive and negative predictors of superior hand hygiene behaviour. We investigated effectiveness of interventions, barriers and comfort reminding others. RESULTS: 280 participants (111 students and 169 residents) completed the questionnaire (response rate 27.8%). Residents and medical students reported hand hygiene behaviour compliance of 0.45 and 0.55, respectively (p=0.02). Resident and medical student knowledge was 0.80 and 0.73, respectively (p=0.001). The attitude index for residents was 0.56 and 0.55 for medical students. Regression analysis identified experiences as predictors of hand hygiene behaviour (both positive and negative influence). Knowledge was not a significant predictor of behaviour, but a working gel dispenser and observing attending physicians with good hand hygiene practices were reported by both groups as the most effective strategy in influencing trainees. CONCLUSIONS: Medical students and residents have similar attitudes about hand hygiene, but differ in their level of knowledge and compliance. Concerns about hierarchy may have a significant negative impact on hand hygiene advocacy.

Surgical Comanagement by Hospitalists Improves Patient Outcomes: A Propensity Score Analysis.

OBJECTIVE: The aim of the study was to examine the impact of a surgical comanagement (SCM) hospitalist program on patient outcomes at an academic institution. BACKGROUND: Prior studies may have underestimated the impact of SCM due to methodological shortcomings. METHODS: This is a retrospective study utilizing a propensity score-weighted intervention (n = 16,930) and control group (n = 3695). Patients were admitted between January 2009 to July 2012 (pre-SCM) and September 2012 to September 2013 (post-SCM) to Orthopedic or Neurosurgery at our institution. Using propensity score methods, linear regression, and a difference-in-difference approach, we estimated changes in outcomes between pre and post periods, while adjusting for confounding patient characteristics. RESULTS: The SCM intervention was associated with a significant differential decrease in the proportion of patients with at least 1 medical complication [odds ratio (OR) 0.86; 95% confidence interval (CI), 0.74-0.96; P = 0.008), the proportion of patients with length of stay at least 5 days (OR 0.75; 95% CI, 0.67-0.84; P < 0.001), 30-day readmission rate for medical cause (OR 0.67; 95% CI, 0.52-0.81; P < 0.001), and the proportion of patients with at least 2 medical consultants (OR 0.55; 95% CI, 0.49-0.63; P < 0.001). There was no significant change in patient satisfaction (OR 1.08; 95% CI, 0.87-1.33; P = 0.507). We estimated average savings of $2642 to $4303 per patient in the post-SCM group. The overall provider satisfaction with SCM was 88.3%. CONCLUSIONS: The SCM intervention reduces medical complications, length of stay, 30-day readmissions, number of consultants, and cost of care.

The weaker sex? Vulnerable men and women's resilience to socio-economic disadvantage.

Sex differences in mortality vary over time and place as a function of social, health, and medical circumstances. The magnitude of these variations, and their response to large socioeconomic changes, suggest that biological differences cannot fully account for sex differences in survival. Drawing on a wide swath of mortality data across countries and over time, we develop a set of empiric observations with which any theory about excess male mortality and its correlates will have to contend. We show that as societies develop, M/F survival first declines and then increases, a "sex difference in mortality transition" embedded within the demographic and epidemiologic transitions. After the onset of this transition, cross-sectional variation in excess male mortality exhibits a consistent pattern of greater female resilience to mortality under socio-economic adversity. The causal mechanisms underlying these associations merit further research.

Hospitalist intervention for appropriate use of telemetry reduces length of stay and cost.

BACKGROUND: Telemetry monitoring is a widely used, labor-intensive, and often-limited resource. Little is known of the effectiveness of methods to guide appropriate use. OBJECTIVE: Our intervention for appropriate use included: (1) a hospitalist-led, daily review of bed utilization, (2) hospitalist-driven education module for trainees, (3) quarterly feedback of telemetry usage, and (4) financial incentives. DESIGN/METHODS: Hospitalists were encouraged to discuss daily telemetry utilization on rounds. A module on appropriate telemetry usage was taught by hospitalists during the intervention period (January 2013-August 2013) on medicine wards. Pre- and post-evaluations measured changes regarding telemetry use. We compared hospital bed-use data between the baseline period (January 2012-December 2012), intervention period, and extension period (September 2014-March 2015). During the intervention period, hospital bed-use data were sent to the hospitalist group quarterly. Financial incentives were provided after a decrease in hospitalist telemetry utilization. SETTING: Stanford Hospital, a 444-bed, academic medical center in Stanford, California. RESULTS: Hospitalists saw reductions for both length of stay (LOS) (2.75 vs 2.13 days, P = 0.005) and total cost (22.5% reduction) for telemetry bed utilization in the intervention period. Nonhospitalists telemetry bed utilization remained unchanged. We saw significant improvements in trainee knowledge of the most cost-saving action (P = 0.002) and the least cost-saving action (P = 0.003) in the pre- and post-evaluation analyses. Results were sustained in the hospitalist group, with telemetry LOS of 1.93 days in the extension period. CONCLUSIONS: A multipronged, hospitalist-driven intervention to improve appropriate use of telemetry reduces LOS and cost, and increases knowledge of cost-saving actions among trainees.

Cost and turn-around time display decreases inpatient ordering of reference laboratory tests: a time series.

OBJECTIVE: Reference tests, also known as send-out tests, are commonly ordered laboratory tests with variable costs and turn-around times. We aim to examine the effects of displaying reference laboratory costs and turn-around times during computerised physician order entry (CPOE) on inpatient physician ordering behaviour. DESIGN: We conducted a prospective observational study at a tertiary care hospital involving inpatient attending physicians and residents. Physician ordering behaviour was prospectively observed between September 2010 and December 2012. An intervention was implemented to display cost and turn-around time for reference tests within our CPOE. We examined changes in the mean number of monthly physician orders per inpatient day at risk, the mean cost per order, and the average turn-around time per order. RESULTS: After our intervention, the mean number of monthly physician orders per inpatient day at risk decreased by 26% (51 vs 38, p<0.0001) with a decrease in mean cost per order (US$146.50 vs US$134.20, p=0.0004). There were no significant differences in mean turn-around time per order (5.6 vs 5.7 days, p=0.057). A stratified analysis of both cost and turn-around time showed significant decreases in physician ordering. The intervention projected a mean annual savings of US$330 439. Reference test cost and turn-around time variables were poorly correlated (r=0.2). These findings occurred in the setting of non-significant change to physician ordering in a control cohort of non-reference laboratory tests. CONCLUSIONS: Display of reference laboratory cost and turn-around time data during real-time ordering may result in significant decreases in ordering of reference laboratory tests with subsequent cost savings.

Smarter hospital communication: secure smartphone text messaging improves provider satisfaction and perception of efficacy, workflow.

BACKGROUND: Though current hospital paging systems are neither efficient (callbacks disrupt workflow), nor secure (pagers are not Health Insurance Portability and Accountability Act [HIPAA]-compliant), they are routinely used to communicate patient information. Smartphone-based text messaging is a potentially more convenient and efficient mobile alternative; however, commercial cellular networks are also not secure. OBJECTIVE: To determine if augmenting one-way pagers with Medigram, a secure, HIPAA-compliant group messaging (HCGM) application for smartphones, could improve hospital team communication. DESIGN: Eight-week prospective, cluster-randomized, controlled trial SETTING: Stanford Hospital INTERVENTION: Three inpatient medicine teams used the HCGM application in addition to paging, while two inpatient medicine teams used paging only for intra-team communication. MEASUREMENTS: Baseline and post-study surveys were collected from 22 control and 41 HCGM team members. RESULTS: When compared with paging, HCGM was rated significantly (P < 0.05) more effective in: (1) allowing users to communicate thoughts clearly (P = 0.010) and efficiently (P = 0.009) and (2) integrating into workflow during rounds (P = 0.018) and patient discharge (P = 0.012). Overall satisfaction with HCGM was significantly higher (P = 0.003). 85% of HCGM team respondents said they would recommend using an HCGM system on the wards. CONCLUSIONS: Smartphone-based, HIPAA-compliant group messaging applications improve provider perception of in-hospital communication, while providing the information security that paging and commercial cellular networks do not.

Utility of Adrenocorticotropic Hormone in Assessing the Response to Transsphenoidal Surgery for Cushing's Disease.

OBJECTIVES: To compare adrenocorticotrophic hormone (ACTH) and cortisol dynamics in subjects with Cushing's disease (CD) following transsphenoidal surgery (TSS) and to determine the value of early postoperative ACTH levels in predicting subsequent hypocortisolemia. METHODS: Following TSS for CD, serum cortisol and plasma ACTH were measured every 6 hours in the absence of empiric glucocorticoid coverage. RESULTS: A total of 26 subjects (25 female) underwent 28 operations. Hypocortisolemia was achieved in 21 (81%) subjects after the initial TSS. Repeat TSS was performed in 2 subjects, resulting in hypocortisolemia in 1. Subjects who achieved hypocortisolemia had significantly lower ACTH levels by 19 hours postoperatively (P = .007). Plasma ACTH fell to <30 pg/mL in 86% and <20 pg/mL in 82% of subjects who subsequently achieved hypocortisolemia. Plasma ACTH declined to <30 pg/mL by a mean of 10 hours and to <20 pg/mL by 13 hours prior to hypocortisolemia. Follow-up data were available on 25 patients for a median of 23 months. Three subjects who achieved initial surgical remission had disease recurrence at 19, 24, and 36 months; all of these subjects had a postoperative nadir serum cortisol levels <3 µg/dL and plasma ACTH <20 pg/mL. CONCLUSION: Following TSS for CD, plasma ACTH declined prior to achievement of hypocortisolemia in most subjects. In the majority, the ACTH level reached a nadir of <20 pg/mL. Low early postoperative ACTH levels predict early hypocortisolemia but may not accurately predict long-term remission.

Disparities in early exposure to book sharing within immigrant families.

OBJECTIVE: This study examined the early developmental context of children in immigrant families (CIF), measured by the frequency with which parents share books with their children. METHODS: Trends in the frequency with which parents report book sharing, defined in this analysis as reading or sharing picture books with their young children, were analyzed across immigrant and nonimmigrant households by using data from the 2005, 2007, and 2009 California Health Interview Survey. Stepwise multivariate logistic regression assessed the likelihood that CIF shared books with parents daily. RESULTS: In this study, 57.5% of parents in immigrant families reported daily book sharing (DBS), compared with 75.8% of native-born parents. The lowest percentage of DBS was seen in Hispanic families with 2 foreign-born parents (47.1%). When controlling for independent variables, CIF with 2 foreign-born parents had the lowest odds of sharing books daily (odds ratio [OR]: 0.61; 95% confidence interval [CI]: 0.54-0.68). When stratified by race/ethnicity, separate multivariate logistic regressions revealed CIF status to be associated with lower odds of DBS for Asian (OR: 0.56; 95% CI: 0.38-0.81) and Hispanic CIF (OR: 0.49; 95% CI: 0.42-0.58). CONCLUSIONS: There is an association between the lower odds of DBS and parental immigrant status, especially for Hispanic and Asian children. This relationship holds after controlling for variables thought to explain differences in literacy-related practices, such as parental education and income. Because book sharing is central to children's development of early literacy and language skills, this disparity merits further exploration with the aim of informing future interventions.

Population-level correlates of preterm delivery among black and white women in the U.S.

OBJECTIVE: This study examined the ability of social, demographic, environmental and health-related factors to explain geographic variability in preterm delivery among black and white women in the US and whether these factors explain black-white disparities in preterm delivery. METHODS: We examined county-level prevalence of preterm delivery (20-31 or 32-36 weeks gestation) among singletons born 1998-2002. We conducted multivariable linear regression analysis to estimate the association of selected variables with preterm delivery separately for each preterm/race-ethnicity group. RESULTS: The prevalence of preterm delivery varied two- to three-fold across U.S. counties, and the distributions were strikingly distinct for blacks and whites. Among births to blacks, regression models explained 46% of the variability in county-level risk of delivery at 20-31 weeks and 55% for delivery at 32-36 weeks (based on R-squared values). Respective percentages for whites were 67% and 71%. Models included socio-environmental/demographic and health-related variables and explained similar amounts of variability overall. CONCLUSIONS: Much of the geographic variability in preterm delivery in the US can be explained by socioeconomic, demographic and health-related characteristics of the population, but less so for blacks than whites.

Potential reporting bias in fMRI studies of the brain.

BACKGROUND: Functional magnetic resonance imaging (fMRI) studies have reported multiple activation foci associated with a variety of conditions, stimuli or tasks. However, most of these studies used fewer than 40 participants. METHODOLOGY: After extracting data (number of subjects, condition studied, number of foci identified and threshold) from 94 brain fMRI meta-analyses (k = 1,788 unique datasets) published through December of 2011, we analyzed the correlation between individual study sample sizes and number of significant foci reported. We also performed an analysis where we evaluated each meta-analysis to test whether there was a correlation between the sample size of the meta-analysis and the number of foci that it had identified. Correlation coefficients were then combined across all meta-analyses to obtain a summary correlation coefficient with a fixed effects model and we combine correlation coefficients, using a Fisher's z transformation. PRINCIPAL FINDINGS: There was no correlation between sample size and the number of foci reported in single studies (r = 0.0050) but there was a strong correlation between sample size and number of foci in meta-analyses (r = 0.62, p<0.001). Only studies with sample sizes <45 identified larger (>40) numbers of foci and claimed as many discovered foci as studies with sample sizes ≥ 45, whereas meta-analyses yielded a limited number of foci relative to the yield that would be anticipated from smaller single studies. CONCLUSIONS: These results are consistent with possible reporting biases affecting small fMRI studies and suggest the need to promote standardized large-scale evidence in this field. It may also be that small studies may be analyzed and reported in ways that may generate a larger number of claimed foci or that small fMRI studies with inconclusive, null, or not very promising results may not be published at all.

A predictive model to identify hospitalized cancer patients at risk for 30-day mortality based on admission criteria via the electronic medical record.

BACKGROUND: This study sought to develop a predictive model for 30-day mortality in hospitalized cancer patients, by using admission information available through the electronic medical record. METHODS: Observational cohort study of 3062 patients admitted to the oncology service from August 1, 2008, to July 31, 2009. Matched numbers of patients were in the derivation and validation cohorts (1531 patients). Data were obtained on day 1 of admission and included demographic information, vital signs, and laboratory data. Survival data were obtained from the Social Security Death Index. RESULTS: The 30-day mortality rate of the derivation and validation samples were 9.5% and 9.7% respectively. Significant predictive variables in the multivariate analysis included age (P < .0001), assistance with activities of daily living (ADLs; P = .022), admission type (elective/emergency) (P = .059), oxygen use (P < .0001), and vital signs abnormalities including pulse oximetry (P = .0004), temperature (P = .017), and heart rate (P = .0002). A logistic regression model was developed to predict death within 30 days: Score = 18.2897 + 0.6013*(admit type) + 0.4518*(ADL) + 0.0325*(admit age) - 0.1458*(temperature) + 0.019*(heart rate) - 0.0983*(pulse oximetry) - 0.0123 (systolic blood pressure) + 0.8615*(O2 use). The largest sum of sensitivity (63%) and specificity (78%) was at -2.09 (area under the curve = -0.789). A total of 25.32% (100 of 395) of patients with a score above -2.09 died, whereas 4.31% (49 of 1136) of patients below -2.09 died. Sensitivity and positive predictive value in the derivation and validation samples compared favorably. CONCLUSIONS: Clinical factors available via the electronic medical record within 24 hours of hospital admission can be used to identify cancer patients at risk for 30-day mortality. These patients would benefit from discussion of preferences for care at the end of life.