Shailendra Prasad

Salivary IL-6 levels in oral leukoplakia with dysplasia and its clinical relevance to tobacco habits and periodontitis

The development of oral cancer proceeds through discrete molecular changes that are acquired from loss of genomic integrity after continued exposure to environmental risk factors. It is preceded in the majority of cases by clinically evident oral potentially malignant disorders, the most common of which is leukoplakia. Early detection of these oral lesions by screening methods using suitable markers is critical as it mirrors molecular alterations, long before cancer phenotypes are manifested. Assessment of salivary interleukin-6 (IL-6) as a marker of malignant progression was undertaken in patients with leukoplakia having coexisting periodontitis (n = 20), periodontitis patients without leukoplakia (n = 20), and healthy controls (n = 20) by competitive enzyme-linked immunosorbent assay. Results showed elevation of IL-6 levels in leukoplakia with coexisting periodontitis and in periodontitis patients when compared to healthy control (P < 0.001). Within the leukoplakia group, IL-6 level was found to be increased with increase in the severity of dysplasia. The use of tobacco was seen to play a significant role in the elevation of salivary IL-6.The importance of IL-6 as a specific marker for leukoplakia with dysplasia and the role of tobacco as an independent risk factor has been highlighted.

Birth Volume and the Quality of Obstetric Care in Rural Hospitals

BACKGROUND Childbirth is the most common reason for hospitalization in the United States. Assessing obstetric care quality is critically important for patients, clinicians, and hospitals in rural areas. METHODS The study used hospital discharge data from the Statewide Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality, for 9 states (Colorado, Iowa, Kentucky, New York, North Carolina, Oregon, Vermont, Washington, and Wisconsin) to identify all births in rural hospitals with 10 or more births/year in 2002 (N = 94,356) and 2010 (N = 103,880). Multivariate logistic regression was used to assess the relationship between hospital annual birth volume, measured as low (10-110), medium (111-240), medium-high (241-460) or high (>460), and 3 measures of obstetric care quality (low-risk cesarean rates for term, vertex, and singleton pregnancies with no prior cesarean; nonindicated cesarean; and nonindicated induction) and 2 patient safety measures (episiotomy and perineal laceration). RESULTS The odds of low-risk and nonindicated cesarean were lower in medium-high and high-volume rural hospitals compared with low-volume hospitals after controlling for maternal demographic and clinical factors. In low-volume hospitals, odds of labor induction without medical indication were higher than in medium-volume hospitals, but not significantly different from medium-high or high-volume hospitals. Odds of episiotomy were greater in medium-high or high-volume hospitals than in low-volume hospitals. The likelihood of perineal laceration did not differ significantly by birth volume. CONCLUSIONS Obstetric quality and safety outcomes vary significantly across rural hospitals by birth volume. Better performance is not consistently associated with either lower or higher volume facilities.

Location of childbirth for rural women: implications for maternal levels of care.

BACKGROUND A recent American Congress of Obstetricians and Gynecologists and Society for Maternal-Fetal Medicine (MFM) consensus statement on levels of maternity care lays out designations that correspond to specific capacities available in facilities that provide obstetric care. Pregnant women in rural and remote areas receive particular attention in discussions of regionalization and levels of care, owing to the challenges in assuring local access to high-acuity services when necessary. Currently, approximately half a million rural women give birth each year in US hospitals, and whether and which of these women give birth locally is crucial for successfully operationalizing maternal levels of care. OBJECTIVE We sought to characterize rural women who give birth in nonlocal hospitals and measure local hospital characteristics and maternal diagnoses present at childbirth that are associated with nonlocal childbirth. STUDY DESIGN This was a repeat cross-sectional analysis of administrative hospital discharge data for all births to rural women in 9 states in 2010 and 2012. Multivariate logistic regression models were used to predict the odds of childbirth in a nonlocal hospital (at least 30 road miles from the patients residence). We examined patient age, race/ethnicity, payer, rurality, clinical diagnoses (diabetes, hypertension, hemorrhage during pregnancy, placental abnormalities, malpresentation, multiple gestation, preterm delivery, prior cesarean delivery, and a composite of diagnoses that may require MFM consultation), as well as local hospital characteristics (birth volume, neonatal care level, ownership, accreditation, and system affiliation). RESULTS The rate of nonlocal childbirth among 216,076 rural women was 25.4%. It varied significantly by primary payer (adjusted odds ratio [AOR], 0.76; 95% confidence interval [CI], 0.68-0.86 for Medicaid vs private insurance) and by clinical conditions including multiple gestation (AOR, 1.82; 95% CI, 1.58-2.1), preterm deliveries (AOR, 2.41; 95% CI, 2.17-2.67), and conditions that may require MFM services or consultation (AOR, 1.28; 95% CI, 1.22-1.35). Rural women whose local hospital did not have a neonatal intensive or intermediate care unit had nearly double the odds of giving birth at a nonlocal hospital (AOR, 1.94; 95% CI, 1.64-2.31). CONCLUSION Approximately 75% of rural women gave birth at local hospitals; rural women with preterm births and clinical complications, as well as those without local access to higher-acuity neonatal care, were more likely to give birth in nonlocal hospitals. However, after controlling for clinical complications, rural Medicaid beneficiaries were less likely to give birth at nonlocal hospitals, implying a potential access challenge for this population.

Rural Relevant Quality Measures for Critical Access Hospitals

PURPOSE To identify current and future relevant quality measures for Critical Access Hospitals (CAHs). METHODS Three criteria (patient volume, internal usefulness for quality improvement, and external usefulness for public reporting and payment reform) were used to analyze quality measures for their relevance for CAHs. A 6-member panel with expertise in rural hospital quality measurement and improvement provided input regarding the final measure selection. FINDINGS The relevant quality measures for CAHs include measures that are ready for reporting now and measures that need specifications to be finalized and/or a data reporting mechanism to be established. They include inpatient measures for specific medical conditions, global measures that address appropriate care across multiple medical conditions, and Emergency Department measures. CONCLUSIONS All CAHs should publicly report on relevant quality measures. Acceptance of a single consolidated set of quality measures with common specifications for CAHs by all entities involved in regulation, accreditation, and payment; a phased process to implement the relevant measures; and the provision of technical assistance would help CAHs meet the challenge of reporting.

Disrupting the Pathways of Social Determinants of Health: Doula Support during Pregnancy and Childbirth

Purpose: The goal of this study was to assess perspectives of racially/ethnically diverse, low-income pregnant women on how doula services (nonmedical maternal support) may influence the outcomes of pregnancy and childbirth. Methods: We conducted 4 in-depth focus group discussions with low-income pregnant women. We used a selective coding scheme based on 5 themes (agency, personal security, connectedness, respect, and knowledge) identified in the Good Birth framework, and we analyzed salient themes in the context of the Gelberg-Anderson behavioral model and the social determinants of health. Results: Participants identified the role doulas played in mitigating the effects of social determinants. The 5 themes of the Good Birth framework characterized the means by which nonmedical support from doulas influenced the pathways between social determinants of health and birth outcomes. By addressing health literacy and social support needs, pregnant women noted that doulas affect access to and the quality of health care services received during pregnancy and birth. Conclusions: Access to doula services for pregnant women who are at risk of poor birth outcomes may help to disrupt the pervasive influence of social determinants as predisposing factors for health during pregnancy and childbirth.

Medical ethics and school football

Health professionals should call for ending public school tackle football programs. We disagree with the perspective and the argument of a recent report by the American Academy of Pediatrics (AAP) ...

The use of hospitalists by small rural hospitals: Results of a national survey

Research on hospitalist programs has primarily focused on large, urban facilities. To fill a gap in the literature on hospitalist use in rural hospitals, the authors conducted a national survey of 402 rural hospitals with 100 or fewer beds that had reported having hospitalists. The survey examined reasons for using hospitalists, characteristics of hospitalist practices, and the impacts of hospitalist use in rural settings. Rural hospitals most commonly establish a hospitalist program to address medical staff requests, call coverage, and quality issues. Respondents report positive impacts of hospitalist programs on quality of care and primary care physician recruitment and retention, but mixed financial impacts. Assessments of the impact of hospitalists in rural hospitals need to take into account the variety of practitioner specialties functioning as hospitalists, the amount of time they spend as hospitalists, and the multiple roles they play in the rural hospital and community.

Association between loss of hospital-based obstetric services and birth outcomes in rural counties in the United States

Importance Hospital-based obstetric services have decreased in rural US counties, but whether this has been associated with changes in birth location and outcomes is unknown. Objective To examine the relationship between loss of hospital-based obstetric services and location of childbirth and birth outcomes in rural counties. Design, Setting, and Participants A retrospective cohort study, using county-level regression models in an annual interrupted time series approach. Births occurring from 2004 to 2014 in rural US counties were identified using birth certificates linked to American Hospital Association Annual Surveys. Participants included 4 941 387 births in all 1086 rural counties with hospital-based obstetric services in 2004. Exposures Loss of hospital-based obstetric services in the county of maternal residence, stratified by adjacency to urban areas. Main Outcomes and Measures Primary outcomes were county rates of (1) out-of-hospital births; (2) births in hospitals without obstetric units; and (3) preterm births (<37 weeks’ gestation). Results Between 2004 and 2014, 179 rural counties lost hospital-based obstetric services. Of the 4 941 387 births studied, the mean (SD) maternal age was 26.2 (5.8) years. A mean (SD) of 75.9% (23.2%) of women who gave birth were non-Hispanic white, and 49.7% (15.6%) were college graduates. Rural counties not adjacent to urban areas that lost hospital-based obstetric services had significant increases in out-of-hospital births (0.70 percentage points [95% CI, 0.30 to 1.10]); births in a hospital without an obstetric unit (3.06 percentage points [95% CI, 2.66 to 3.46]); and preterm births (0.67 percentage points [95% CI, 0.02 to 1.33]), in the year after loss of services, compared with those with continual obstetric services. Rural counties adjacent to urban areas that lost hospital-based obstetric services also had significant increases in births in a hospital without obstetric services (1.80 percentage points [95% CI, 1.55 to 2.05]) in the year after loss of services, compared with those with continual obstetric services, and this was followed by a decreasing trend (−0.19 percentage points per year [95% CI, −0.25 to −0.14]). Conclusions and Relevance In rural US counties not adjacent to urban areas, loss of hospital-based obstetric services, compared with counties with continual services, was associated with increases in out-of-hospital and preterm births and births in hospitals without obstetric units in the following year; the latter also occurred in urban-adjacent counties. These findings may inform planning and policy regarding rural obstetric services.

Rural-Urban Differences in Medicare Quality Outcomes and the Impact of Risk Adjustment.

Background: There has been considerable debate in recent years about whether, and how, to risk-adjust quality measures for sociodemographic characteristics. However, geographic location, especially rurality, has been largely absent from the discussion. Objective: To examine differences by rurality in quality outcomes, and the impact of adjustment for individual and community-level sociodemographic characteristics on quality outcomes. Data Sources: The 2012 Medicare Current Beneficiary Survey, Access to Care module, combined with the 2012 County Health Rankings. All data used were publicly available, secondary data. We merged the 2012 Medicare Current Beneficiary Survey data with the 2012 County Health Rankings data using county of residence. Research Design: We compared 6 unadjusted quality of care measures for Medicare beneficiaries (satisfaction with care, blood pressure checked, cholesterol checked, flu shot receipt, change in health status, and all-cause annual readmission) by rurality (rural noncore, micropolitan, and metropolitan). We then ran nested multivariable logistic regression models to assess the impact of adjusting for community and individual-level sociodemographic characteristics to determine whether these mediate the rurality difference in quality of care. Results: The relationship between rurality and change in health status was mediated by the inclusion of community-level characteristics; however, adjusting for community and individual-level characteristics caused differences by rurality to emerge in 2 of the measures: blood pressure checked and cholesterol checked. For all quality scores, model fit improved after adding community and individual characteristics. Conclusions: Quality is multifaceted and is impacted by individual and community-level socio-demographic characteristics, as well as by geographic location. Current debates about risk-adjustment procedures should take rurality into account.

Guidelines for responsible short-term global health activities: developing common principles

BackgroundGrowing concerns about the value and effectiveness of short-term volunteer trips intending to improve health in underserved Global South communities has driven the development of guidelines by multiple organizations and individuals. These are intended to mitigate potential harms and maximize benefits associated with such efforts.MethodThis paper analyzes 27 guidelines derived from a scoping review of the literature available in early 2017, describing their authorship, intended audiences, the aspects of short term medical missions (STMMs) they address, and their attention to guideline implementation. It further considers how these guidelines relate to the desires of host communities, as seen in studies of host country staff who work with volunteers.ResultsExisting guidelines are almost entirely written by and addressed to educators and practitioners in the Global North. There is broad consensus on key principles for responsible, effective, and ethical programs--need for host partners, proper preparation and supervision of visitors, needs assessment and evaluation, sustainability, and adherence to pertinent legal and ethical standards. Host country staff studies suggest agreement with the main elements of this guideline consensus, but they add the importance of mutual learning and respect for hosts.ConclusionsGuidelines must be informed by research and policy directives from host countries that is now mostly absent. Also, a comprehensive strategy to support adherence to best practice guidelines is needed, given limited regulation and enforcement capacity in host country contexts and strong incentives for involved stakeholders to undertake or host STMMs that do not respect key principles.