Estimating Maternal Mortality in Remote Rural Regions: an Application of the Sisterhood Method in Tajikistan

Introduction: The sisterhood method of maternal mortality data collection and analysis provides a validated framework for estimating maternal mortality ratios in situations of limited infrastructure. The aim of this study is to assess sub-national maternal mortality in the Badakhshan region of Tajikistan using the sisterhood method as part of a larger ethnographic study on maternal risk.Methods: In 2006-2007, 1004 married women of reproductive age in Gorno-Badakhshan Autonomous Oblast, Tajikistan were surveyed using the sisterhood method. Respondents were asked eleven questions about the sex, age and survivorship of all children born to the respondent’s mother.Results: Using a national total fertility rate (TFR) estimate of 4.88, the maternal mortality ratio (MMR) in Tajik Badakhshan was 141 maternal deaths per 100,000 live births (95% CI 49-235). The lifetime risk of maternal death was 1 in 141 (95% CI 34-103).Conclusion: Given the inherent time-lag of the sisterhood method, precise estimates of maternal mortality are dependent on accurate TFRs, which may vary based upon regional experiences of demographic transitions. Socio-political instability and the dismantling of Soviet welfare programs and civil war following Tajikistan’s independence from the Soviet Union in 1991 likely impacted TFR in Tajik Badakhshan. Socio-political trends influencing TFR in rural regions compared to urban, and the investigation of factors associated with maternal mortality, require additional investigation

Racial Disparities in Breast Cancer Survival: The Mediating Effects of Macro-Social Context and Social Network Factors

ABSTRACT This study attempts to clarify the associations between macro-social and social network factors and continuing racial disparities in breast cancer survival. The study improves on prior methodologies by using a neighborhood disadvantage measure that assesses both economic and social disadvantage and an ego-network measurement tool that assesses key social network characteristics. Our population-based sample included 786 breast cancer patients (nHWhite=388; nHBlack=398) diagnosed during 2005-2008 in Chicago, IL. The data included census-derived macro-social context, self-reported social network, self-reported demographic and medically abstracted health measures. Mortality data from the National Death Index (NDI) were used to determine 5-year survival. Based on our findings, neighborhood concentrated disadvantage was negatively associated with survival among nHBlack and nHWhite breast cancer patients. In unadjusted models, social network size, network density, practical support, and financial support were positively associated with 5-year survival. However, in adjusted models only practical support was associated with 5-year survival. Our findings suggest that the association between network size and breast cancer survival is sensitive to scaling of the network measure, which helps to explain inconsistencies in past findings. Social networks of nHWhites and nHBlacks differed in size, social support dimensions, network density, and geographic proximity. Among social factors, residence in disadvantaged neighborhoods and unmet practical support explained some of the racial disparity in survival. Differences in late stage diagnosis and comorbidities between nHWhites and nHBlacks also explained some of the racial disparity in survival. Our findings highlight the relevance of social factors, both macro and inter-personal in the racial disparity in breast cancer survival. Findings suggest that reduced survival of nHBlack women is in part due to low social network resources and residence in socially and economically deprived neighborhoods. Our findings indicate that, to improve survival among breast cancer patients, policies need to focus on continued improvement of access to care and reduction of racially patterned social and economic hardship. Additionally, our findings support the need for health care providers to assess social support resources of breast cancer patients at the time of diagnosis

Estimating Maternal Mortality in Remote Rural Regions: an Application of the Sisterhood Method in Tajikistan

Introduction: The sisterhood method of maternal mortality data collection and analysis provides a validated framework for estimating maternal mortality ratios in situations of limited infrastructure. The aim of this study is to assess sub-national maternal mortality in the Badakhshan region of Tajikistan using the sisterhood method as part of a larger ethnographic study on maternal risk. Methods: In 2006-2007, 1004 married women of reproductive age in Gorno-Badakhshan Autonomous Oblast, Tajikistan were surveyed using the sisterhood method. Respondents were asked eleven questions about the sex, age and survivorship of all children born to the respondent’s mother. Results: Using a national total fertility rate (TFR) estimate of 4.88, the maternal mortality ratio (MMR) in Tajik Badakhshan was 141 maternal deaths per 100,000 live births (95% CI 49-235). The lifetime risk of maternal death was 1 in 141 (95% CI 34-103). Conclusion: Given the inherent time-lag of the sisterhood method, precise estimates of maternal mortality are dependent on accurate TFRs, which may vary based upon regional experiences of demographic transitions. Socio-political instability and the dismantling of Soviet welfare programs and civil war following Tajikistan’s independence from the Soviet Union in 1991 likely impacted TFR in Tajik Badakhshan. Socio-political trends influencing TFR in rural regions compared to urban, and the investigation of factors associated with maternal mortality, require additional investigation

The Seventh Data Release of the Sloan Digital Sky Survey

This paper describes the Seventh Data Release of the Sloan Digital Sky Survey (SDSS), marking the completion of the original goals of the SDSS and the end of the phase known as SDSS-II. It includes 11663 deg^2 of imaging data, with most of the roughly 2000 deg^2 increment over the previous data release lying in regions of low Galactic latitude. The catalog contains five-band photometry for 357 million distinct objects. The survey also includes repeat photometry over 250 deg^2 along the Celestial Equator in the Southern Galactic Cap. A coaddition of these data goes roughly two magnitudes fainter than the main survey. The spectroscopy is now complete over a contiguous area of 7500 deg^2 in the Northern Galactic Cap, closing the gap that was present in previous data releases. There are over 1.6 million spectra in total, including 930,000 galaxies, 120,000 quasars, and 460,000 stars. The data release includes improved stellar photometry at low Galactic latitude. The astrometry has all been recalibrated with the second version of the USNO CCD Astrograph Catalog (UCAC-2), reducing the rms statistical errors at the bright end to 45 milli-arcseconds per coordinate. A systematic error in bright galaxy photometr is less severe than previously reported for the majority of galaxies. Finally, we describe a series of improvements to the spectroscopic reductions, including better flat-fielding and improved wavelength calibration at the blue end, better processing of objects with extremely strong narrow emission lines, and an improved determination of stellar metallicities. (Abridged)Comment: 20 pages, 10 embedded figures. Accepted to ApJS after minor correction

Lockwood Dryad Submission 6-30-18

CSV de-identified data (3 indirect identifiers included), documentation (codebook, readme), and SAS Syntax used to produce the manuscrip

Data from: If you build it, they may not come: modifiable barriers to patient portal use among pre- and post-kidney transplant patients

Background: Patient access to health information using electronic patient portals is increasingly common. Portal use has the potential to improve patients' engagement with their health and is particularly important for patients with chronic illness; however, patients’ abilities, attitudes, and use of portals is poorly understood. Methods: A single-center, cross-sectional survey was conducted of 240 consecutive pre- and post-kidney transplant patients of all levels of technological proficiency who presented to an urban transplant center in the United States. The Patient Information and Technology Assessment-Patient Portal (PITA-PP) was used to assess patients' attitudes toward the use of patient portals. Results: Most patients surveyed did not use the patient portal (n = 176, 73%). Patients were more likely to use the patient portal if they were White, highly educated, in the post-transplant period, more comfortable with technology, and reported being a frequent internet user (p < 0.05). The most common reasons for not using the patient portal included: (1) preference for traditional communication, (2) not being aware of the portal, (3) low technological proficiency, and (4) poor interoperability between the portal at the transplant center and the patient’s primary care center. Conclusions: We identified several modifiable barriers to patient portal use. Some barriers can be addressed by patient education and training on portal use, and federal initiatives are underway to improve interoperability; however, a preference for traditional communications represents the most prominent barrier. Additional strategies are needed to improve portal adoption by encouraging acceptance of technologies as a way of clinical communication

Randomized controlled pilot of a group antenatal care model and the sociodemographic factors associated with pregnancy-related empowerment in sub-Saharan Africa

Abstract Background The links between empowerment and a number of health-related outcomes in sub-Saharan Africa have been documented, but empowerment related to pregnancy is under-investigated. Antenatal care (ANC) is the entry point into the healthcare system for most women, so it is important to understand how ANC affects aspects of women’s sense of control over their pregnancy. We compare pregnancy-related empowerment for women randomly assigned to the standard of care versus CenteringPregnancy-based group ANC (intervention) in two sub-Saharan countries, Malawi and Tanzania. Methods Pregnant women in Malawi (n = 112) and Tanzania (n = 110) were recruited into a pilot study and randomized to individual ANC or group ANC. Retention at late pregnancy was 81% in Malawi and 95% in Tanzania. In both countries, individual ANC, termed focused antenatal care (FANC), is the standard of care. FANC recommends four ANC visits plus a 6-week post-birth visit and is implemented following the country's standard of care. In group ANC, each contact included self- and midwife-assessments in group space and 90 minutes of interactive health promotion. The number of contacts was the same for both study conditions. We measured pregnancy-related empowerment in late pregnancy using the Pregnancy-Related Empowerment Scale (PRES). Independent samples t-tests and multiple linear regressions were employed to assess whether group ANC led to higher PRES scores than individual ANC and to investigate other sociodemographic factors related to pregnancy-related empowerment. Results In Malawi, women in group ANC had higher PRES scores than those in individual ANC. Type of care was a significant predictor of PRES and explained 67% of the variation. This was not so in Tanzania; PRES scores were similar for both types of care. Predictive models including sociodemographic variables showed religion as a potential moderator of treatment effect in Tanzania. Muslim women in group ANC had a higher mean PRES score than those in individual ANC; a difference not observed among Christian women. Conclusions Group ANC empowers pregnant women in some contexts. More research is needed to identify the ways that models of ANC can affect pregnancy-related empowerment in addition to perinatal outcomes globally

Racial disparity in survival from estrogen and progesterone receptor-positive breast cancer: implications for reducing breast cancer mortality disparities

Introduction Non-Latina black breast cancer patients experience a shorter survival from breast cancer than their non-Latina white counterparts. We compared breast cancer-specific survival for the subset of black and white patients with estrogen and/or progesterone receptor-positive tumors that are generally targeted with endocrine therapy. Methods Using data collected from a population-based cohort of breast cancer patients from Chicago, IL, Kaplan–Meier survival curves and hazard functions were generated and proportional hazards models were estimated to determine the black/white disparity in time to death from breast cancer while adjusting for age at diagnosis, patient characteristics, treatment-related variables, and tumor grade and stage. Results In regression models, hazard of breast cancer death among ER/PR-positive patients was at least 4 times higher for black than for white patients in all models tested. Notably, even after adjusting for stage at diagnosis, tumor grade, and treatment variables (including initiation of systemic adjuvant therapies), the hazard ratio for death from ER/PR-positive breast cancer between black and white women was 4.39 (95% CI 1.76, 10.9, p = 0.001). Conclusions We observed a racial disparity in breast cancer survival for patients diagnosed with ER/PR-positive tumors that did not appear to be due to differences in tumor stage, grade, or therapy initiation in black patients, suggesting that there may be racial differences in the molecular characteristics of hormone receptor-positive tumors, such that ER/PR-positive tumors in black patients may be less responsive to standard treatments

Physical Symptom Cluster Subgroups in Chronic Kidney Disease.

BackgroundSymptom burden associated with chronic kidney disease can be debilitating, with a negative effect on patient health-related quality of life. Latent class clustering analysis is an innovative tool for classifying patient symptom experience.ObjectivesThe aim of the study was to identify subgroups of patients at greatest risk for high symptom burden, which may facilitate development of patient-centered symptom management interventions.MethodsIn this cross-sectional analysis, baseline data were analyzed from 3,921 adults enrolled in the Chronic Renal Insufficiency Cohort Study from 2003 to 2008. Latent class cluster modeling using 11 items on the Kidney Disease Quality of Life symptom profile was employed to identify patient subgroups based on similar observed physical symptom response patterns. Multinomial logistic regression models were estimated with demographic variables, lifestyle and clinical variables, and self-reported measures (Kidney Disease Quality of Life physical and mental component summaries and the Beck Depression Inventory).ResultsThree symptom-based subgroups were identified, differing in severity (low symptom, moderate symptom, and high symptom). After adjusting for other variables in multinomial logistic regression, membership in the high-symptom subgroup was less likely for non-Hispanic Blacks and men. Other factors associated with membership in the high-symptom subgroup included lower estimated glomerular filtration rate, history of cardiac/cardiovascular disease, higher Beck Depression Inventory scores, and lower Kidney Disease Quality of Life physical and mental component summaries.DiscussionThree symptom subgroups of patients were identified among patients with mild-to-moderate chronic kidney disease. Several demographic and clinical variables predicted membership in subgroups. Further research is needed to determine if symptom subgroups are stable over time and can be used to predict healthcare utilization and clinical outcomes

Additional file 1: of Randomized controlled pilot of a group antenatal care model and the sociodemographic factors associated with pregnancy-related empowerment in sub-Saharan Africa

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