Direct and indirect estimation of adolescent sexual intercourse and contraceptive use in Rajasthan India: an application of the best friend methodology.

BACKGROUND: Existing estimates of adolescent sexual and reproductive health (ASRH) behaviors may be a gross undercount given the sensitivity of this behavior in Indian culture. The objective of this study was to estimate ASRH behaviors in Rajasthan, India using direct questions and the best friend approach that seeks to reduce social desirability bias. METHODS: We used population-based data of adolescents aged 15-19 in Rajasthan collected between September and December 2022. Data include whether the respondent and her closest female friend ever had a partner, ever had sex, ever used contraception, and were currently using contraception. We estimated respondent and best friend ASRH outcomes separately, overall and among unmarried adolescents for whom we anticipate social desirability bias is greatest. RESULTS: The best friend approach performed well, with method assumptions largely met even before adjustments. Respondent and best friend estimates were similar among all adolescents except for current contraceptive use, which was higher for friends (though not significantly so). However, we observed large differences in ASRH behaviors between unmarried respondents and friends, with a significantly higher percentage of friends who ever had a partner (4.3% respondents, 11.6% friends), and a slightly higher percentage who ever had sex (2.4%, 3.8%) and who were currently using contraception (17.0%, 19.7% among those in need of contraception). CONCLUSIONS: We observed potential benefits of using the best friend methodology in estimating premarital sexual activity, but further work is needed to refine social network-based measures of sensitive adolescent behaviors in larger study samples to better understand ASRH needs.

Menstrual regulation: examining the incidence, methods, and sources of care of this understudied health practice in three settings using cross-sectional population-based surveys.

BACKGROUND: Menstrual regulation is a practice that may exist within the ambiguity surrounding one's pregnancy status and has been the subject of limited research. The aim of this study is to measure the annual rate of menstrual regulation in Nigeria, Cote d'Ivoire, and Rajasthan, India, overall and by background characteristics and to describe the methods and sources women use to bring back their period. METHODS: Data come from population-based surveys of women aged 15-49 in each setting. In addition to questions on women's background characteristics, reproductive history, and contraceptive experiences, interviewers asked women whether they had ever done something to bring back their period at a time when they were worried they were pregnant, and if so, when it occurred and what methods and source they used. A total of 11,106 reproductive-aged women completed the survey in Nigeria, 2,738 in Cote d'Ivoire, and 5,832 in Rajasthan. We calculated one-year incidence of menstrual regulation overall and by women's background characteristics separately for each context using adjusted Wald tests to assess significant. We then examined the distribution of menstrual regulation methods and sources using univariate analyses. Method categories included surgery, medication abortion pills, other pills (including unknown pills), and traditional or "other" methods. Source categories included public facilities or public mobile outreach, private or non-governmental facilities or doctors, pharmacy or chemist shops, and traditional or "other" sources. RESULTS: Results indicate substantial levels of menstrual regulation in West Africa with a one-year incidence rate of 22.6 per 1,000 women age 15-49 in Nigeria and 20.6 per 1,000 in Cote d'Ivoire; women in Rajasthan reported only 3.3 per 1,000. Menstrual regulations primarily involved traditional or "other" methods in Nigeria (47.8%), Cote d'Ivoire (70.0%), and Rajasthan (37.6%) and traditional or "other" sources (49.4%, 77.2%, and 40.1%, respectively). CONCLUSION: These findings suggest menstrual regulation is not uncommon in these settings and may put women's health at risk given the reported methods and sources used. Results have implications for abortion research and our understanding of how women manage their fertility.

Menstrual regulation, or bringing back a late period, is an understudied practice that women may use when they are worried they are pregnant but that may be viewed as distinct from abortion. This study seeks to measure the frequency of menstrual regulation in Nigeria, Cote d'Ivoire, and Rajasthan, India, overall and by women's characteristics and to describe the methods and sources women use. We used data from representative surveys of women aged 15­49 years old in each study setting. We asked women whether they had ever done something to bring back a late period at a time when they were worried they were pregnant, and if so, what methods and sources they used. Results indicate that menstrual regulation may be a common practice, particularly in West Africa; the observed one-year rates were 22.6 menstrual regulations per 1,000 women aged 15­49 in Nigeria and 20.6 menstrual regulations per 1000 women in Cote d'Ivoire; women in Rajasthan only reported 3.3 menstrual regulations per 1000 women per year. Menstrual regulations primarily involved traditional or "other" methods in Nigeria (47.8%), Cote d'Ivoire (70.0%), and Rajasthan (37.6%) and traditional or "other" sources (49.4%, 77.2%, and 40.1%, respectively). These findings suggest menstrual regulation is not uncommon and may put women's health at risk given the reported methods and sources used. Results have implications for abortion research and our understanding of how women manage their fertility.

The knowledge of danger signs of obstetric complications among women in rural India: evaluating an integrated microfinance and health literacy program.

BACKGROUND: Maternal mortality can be prevented in low-income settings through early health care seeking during maternity complications. While health system reforms in India prioritised institutional deliveries, inadequate antenatal and postnatal services limit the knowledge of danger signs of obstetric complications to women, which delays the recognition of complications and seeking appropriate health care. Recently, a novel rapidly scalable community-based program combining maternal health literacy delivery through microfinance-based women-only self-help groups (SHG) was implemented in rural India. This study evaluates the impact of the integrated microfinance and health literacy (IMFHL) program on the knowledge of maternal danger signs in marginalised women from one of India's most populated and poorer states - Uttar Pradesh. Additionally, the study evaluates the presence of a diffusion effect of the knowledge of maternal danger signs from SHG members receiving health literacy to non-members in program villages. METHODS: Secondary data from the IMFHL program comprising 17,232 women from SHG and non-member households in rural Uttar Pradesh was included. Multivariate logistic regression models were used to identify the program's effects on the knowledge of maternal danger signs adjusting for a comprehensive range of confounders at the individual, household, and community level. RESULTS: SHG member women receiving health literacy were 27% more likely to know all danger signs as compared with SHG members only. Moreover, the results showed that the SHG network facilitates diffusion of knowledge of maternal danger signs from SHG members receiving health literacy to non-members in program villages. The study found that the magnitude of the program impact on outcome remained stable even after controlling for other confounding effects suggesting that the health message delivered through the program reaches all women uniformly irrespective of their socioeconomic and health system characteristics. CONCLUSIONS: The findings can guide community health programs and policy that seek to impact maternal health outcomes in low resource settings by demonstrating the differential impact of SHG alone and SHG plus health literacy on maternal danger sign knowledge.

Social network-based measurement of abortion incidence: promising findings from population-based surveys in Nigeria, Cote d'Ivoire, and Rajasthan, India.

BACKGROUND: Monitoring abortion rates is highly relevant for demographic and public health considerations, yet its reliable estimation is fraught with uncertainty due to lack of complete national health facility service statistics and bias in self-reported survey data. In this study, we aim to test the confidante methodology for estimating abortion incidence rates in Nigeria, Cote d'Ivoire, and Rajasthan, India, and develop methods to adjust for violations of assumptions. METHODS: In population-based surveys in each setting, female respondents of reproductive age reported separately on their two closest confidantes' experience with abortion, in addition to reporting about their own experiences. We used descriptive analyses and design-based F tests to test for violations of method assumptions. Using post hoc analytical techniques, we corrected for biases in the confidante sample to improve the validity and precision of the abortion incidence estimates produced from these data. RESULTS: Results indicate incomplete transmission of confidante abortion knowledge, a biased confidante sample, but reduced social desirability bias when reporting on confidantes' abortion incidences once adjust for assumption violations. The extent to which the assumptions were met differed across the three contexts. The respondent 1-year pregnancy removal rate was 18.7 (95% confidence interval (CI) 14.9-22.5) abortions per 1000 women of reproductive age in Nigeria, 18.8 (95% CI 11.8-25.8) in Cote d'Ivoire, and 7.0 (95% CI 4.6-9.5) in India. The 1-year adjusted abortion incidence rates for the first confidantes were 35.1 (95% CI 31.1-39.1) in Nigeria, 31.5 (95% CI 24.8-38.1) in Cote d'Ivoire, and 15.2 (95% CI 6.1-24.4) in Rajasthan, India. Confidante two's rates were closer to confidante one incidences than respondent incidences. The adjusted confidante one and two incidence estimates were significantly higher than respondent incidences in all three countries. CONCLUSIONS: Findings suggest that the confidante approach may present an opportunity to address some abortion-related data deficiencies but require modeling approaches to correct for biases due to violations of social network-based method assumptions. The performance of these methodologies varied based on geographical and social context, indicating that performance may be better in settings where abortion is legally and socially restricted.

Induced Abortion Incidence and Safety in Rajasthan, India: Evidence that Expansion of Services is Needed.

Despite induced abortion being broadly legal in India, up-to-date information on its frequency and safety is not readily available. Using direct and indirect methodological approaches, this study measures the one-year incidence and safety of induced abortions among women in the state of Rajasthan. The analysis utilizes data from a population-based survey of 5,832 reproductive aged women who reported on the abortion experiences of their closest female confidante in addition to themselves. We separately assess correlates of having a recent and most unsafe abortion using multivariable regression models. The confidante approach produced a one-year abortion incidence estimate of 23 per 1,000 women, whereas the respondent estimate is 9.5 per 1,000 women. Based on the confidante estimate, approximately 441,000 abortions occurred in Rajasthan over a year. Overall, 25 and 29 percent of respondent and confidante reported abortions were classified as most unsafe. Results suggest that abortion remains an integral component of women's fertility regulation, and that a liberal law alone is insufficient to guarantee access to safe abortion services. Existing policies on abortion in India need updating to permit task sharing in line with current recommendations to expand service delivery so that demand is met through provision of safe and accessible services.

An explanation of the stagnant under-5 mortality rate in Bangladesh using multilevel, multivariable analysis of three Demographic and Health Surveys.

Despite remarkable success in the Millennium Development Goal era, Bangladesh experienced a sluggish reduction in the under-5 mortality rate (U5MR) between 2014 and 2017-18. Our study aimed to explain this stagnancy by examining the variation in the key predictor-specific mortality risks over time, using the Bangladesh Demographic and Health Survey 2011, 2014 and 2017-18 data. We applied multilevel mixed effects logistic regression to examine the extent to which the under-5 mortality (U5M) risks were associated with the key sociodemographic and health service-specific predictors. We found that the rise in mortality risks attributable to maternal age 18 years or below, low maternal education, mother's overweight or obesity and the absence of a handwashing station within the household were the key contributors to the stagnant U5MR between 2014 and 2017-18. Poverty and low education aggravated the mortality risks. Besides, antenatal care (ANC) and postnatal care (PNC) did not impact U5M risks as significantly as expected. Compulsory use of ANC and PNC cards and strict monitoring of their use may improve the quality of these health services. Leveraging committees like the Upazila Hospital Management Committee can bring harmony to implementing policies and programmes in the sectors related to U5M.

Automatic lesion detection for narrow-band imaging bronchoscopy.

Purpose: Early detection of cancer is crucial for lung cancer patients, as it determines disease prognosis. Lung cancer typically starts as bronchial lesions along the airway walls. Recent research has indicated that narrow-band imaging (NBI) bronchoscopy enables more effective bronchial lesion detection than other bronchoscopic modalities. Unfortunately, NBI video can be hard to interpret because physicians currently are forced to perform a time-consuming subjective visual search to detect bronchial lesions in a long airway-exam video. As a result, NBI bronchoscopy is not regularly used in practice. To alleviate this problem, we propose an automatic two-stage real-time method for bronchial lesion detection in NBI video and perform a first-of-its-kind pilot study of the method using NBI airway exam video collected at our institution. Approach: Given a patient's NBI video, the first method stage entails a deep-learning-based object detection network coupled with a multiframe abnormality measure to locate candidate lesions on each video frame. The second method stage then draws upon a Siamese network and a Kalman filter to track candidate lesions over multiple frames to arrive at final lesion decisions. Results: Tests drawing on 23 patient NBI airway exam videos indicate that the method can process an incoming video stream at a real-time frame rate, thereby making the method viable for real-time inspection during a live bronchoscopic airway exam. Furthermore, our studies showed a 93% sensitivity and 86% specificity for lesion detection; this compares favorably to a sensitivity and specificity of 80% and 84% achieved over a series of recent pooled clinical studies using the current time-consuming subjective clinical approach. Conclusion: The method shows potential for robust lesion detection in NBI video at a real-time frame rate. Therefore, it could help enable more common use of NBI bronchoscopy for bronchial lesion detection.

ESFPNet: Efficient Stage-Wise Feature Pyramid on Mix Transformer for Deep Learning-Based Cancer Analysis in Endoscopic Video.

For patients at risk of developing either lung cancer or colorectal cancer, the identification of suspect lesions in endoscopic video is an important procedure. The physician performs an endoscopic exam by navigating an endoscope through the organ of interest, be it the lungs or intestinal tract, and performs a visual inspection of the endoscopic video stream to identify lesions. Unfortunately, this entails a tedious, error-prone search over a lengthy video sequence. We propose a deep learning architecture that enables the real-time detection and segmentation of lesion regions from endoscopic video, with our experiments focused on autofluorescence bronchoscopy (AFB) for the lungs and colonoscopy for the intestinal tract. Our architecture, dubbed ESFPNet, draws on a pretrained Mix Transformer (MiT) encoder and a decoder structure that incorporates a new Efficient Stage-Wise Feature Pyramid (ESFP) to promote accurate lesion segmentation. In comparison to existing deep learning models, the ESFPNet model gave superior lesion segmentation performance for an AFB dataset. It also produced superior segmentation results for three widely used public colonoscopy databases and nearly the best results for two other public colonoscopy databases. In addition, the lightweight ESFPNet architecture requires fewer model parameters and less computation than other competing models, enabling the real-time analysis of input video frames. Overall, these studies point to the combined superior analysis performance and architectural efficiency of the ESFPNet for endoscopic video analysis. Lastly, additional experiments with the public colonoscopy databases demonstrate the learning ability and generalizability of ESFPNet, implying that the model could be effective for region segmentation in other domains.

The potential of carboxylmethyl cellulose from empty fruit bunch as versatile material in food coating: A review.

The rising demand for food packaging has led to a growing interest in sustainable and eco-friendly food coatings. Carboxymethyl cellulose (CMC), being a versatile cellulose derivative produced from various lignocellulosic sources, has emerged in edible food coatings. This review evaluates the research trends on CMC production from empty fruit bunch (EFB) as a potential edible food coating material by systematic review approach. It explores sustainable pre-treatment for green cellulose and different CMC synthesis methods. The review compares CMC-based coatings to other materials, focusing on formulation processes, coating quality, safety, and commercial feasibility. The bibliometric analysis is performed to correlate food coating and CMC. As a result, the study discovered the rapid growth in research on edible food coatings made from CMC for various food industry applications. The green approach such as ozone pre-treatment appear as promising method for cellulose isolation from EFB to be used as raw material for CMC. The synthesis conditions of the treatment would affect the CMC characteristics and usage. Herein, utilizing CMC from cellulose EFB in coating formulation and on coated food shows different benefits. This review provides a road map for future research with potential to make important contributions to the food industry's long-term evolution.

Inter- and intra-observer variability of radial-endobronchial ultrasound image interpretation for peripheral pulmonary lesions.

Background: Radial probe endobronchial ultrasound (R-EBUS) is often utilized in guided bronchoscopy for the diagnosis of peripheral pulmonary lesions. R-EBUS probe positioning has been shown to correlate with diagnostic yield, but overall diagnostic yield with this technology has been inconsistent across the published literature. Currently there is no standardization for R-EBUS image interpretation, which may result in variability in grading concentricity of lesions and subsequently procedure performance. This was a survey-based study evaluating variability among practicing pulmonologists in R-EBUS image interpretation. Methods: R-EBUS images from peripheral bronchoscopy cases were sent to 10 practicing Interventional Pulmonologists at two different time points (baseline and 3 months). Participants were asked to grade the images as concentric, eccentric, or no image. Cohen's Kappa-coefficient was calculated for inter- and intra-observer variability. Results: A total of 100 R-EBUS images were included in the survey. There was 100% participation with complete survey responses from all 10 participants. Overall kappa-statistic for inter-observer variability for Survey 1 and 2 was 0.496 and 0.477 respectively. Overall kappa-statistic for intra-observer variability between the two surveys was 0.803. Conclusions: There is significant variability between pulmonologists when characterizing R-EBUS images. However, there is strong intra-rater agreement from each participant between surveys. A standardized approach and grading system for radial EBUS patterns may improve inter-observer variability in order to optimize our clinical use and research efforts in the field.

Endobronchial Ultrasound Image Simulation for Image-Guided Bronchoscopy.

BACKGROUND/OBJECTIVE: Accurate disease diagnosis and staging are essential for patients suspected of having lung cancer. The state-of-the-art minimally invasive tools used by physicians to perform these operations are bronchoscopy, for navigating the lung airways, and endobronchial ultrasound (EBUS), for localizing suspect extraluminal cancer lesions. While new image-guided systems enable accurate bronchoscope navigation close to a lesion, no means exists for guiding the final EBUS localization of an extraluminal lesion. We propose an EBUS simulation method to assist with EBUS localization. METHODS: The method draws on a patient's chest computed-tomography (CT) scan to model the ultrasound signal propagation through the tissue media. The method, which is suitable for simulating EBUS images for both radial-probe and convex-probe EBUS devices, entails three steps: 1) image preprocessing, which generates a 2D CT equivalent of the EBUS scan plane; 2) EBUS scan-line computation, which models ultrasound transmission to map the CT plane into a preliminary simulated EBUS image; and 3) image post-processing, which increases realism by introducing simulated EBUS imaging effects and artifacts. RESULTS: Results show that the method produces simulated EBUS images that strongly resemble images generated live by a real device and compares favorably to an existing ultrasound simulation method. It also produces images at a rate greater than real time (i.e., 53 frames/sec). We also demonstrate a successful integration of the method into an image-guided EBUS bronchoscopy system. CONCLUSION/SIGNIFICANCE: The method is effective and practical for procedure planning/preview and follow-on live guidance of EBUS bronchoscopy.

Evaluation of a virtual, simulated international public health peer-to-peer exchange learning experience.

Introduction: Public Health's (PH) global rise is accompanied by an increasing focus on training the new generation of PH graduates in interdisciplinary skills for multisectoral and cross-cultural engagement to develop an understanding of commonalities in health system issues and challenges in multi-cultural settings. Online teaching modalities provide an opportunity to enhance global health skill development through virtual engagement and peer exchange. However, current teaching pedagogy is limited in providing innovative modes of learning global health issues outside of traditional classroom settings with limited modalities of evidence-informed implementation models. Methods: This study designed, implemented, and evaluated a novel global health online synchronous module as proof of concept that incorporated elements of virtual Practice-based learning (PBL) using a case study approach offered to currently enrolled public health students at the University of Canberra (UC) and a partnering public health university from India, the Indian Institute of Public Health Gandhinagar (IIPH-G). Using constructive learning theory and the Social Determinants of Health framework, four online sessions were designed and implemented in August-September 2022. Formal process and outcome evaluation using a quantitative adapted survey of the validated International Student Experience survey (IES) at session end and findings provided. Results: Over 100 participating public health students from Australia and India provided narrative feedback and quantitative responses from the adapted IES instrument across four key dimensions, namely "motivation," "personal development," intellectual development, and "international perspectives" reporting an overall high mean impact of 4.29 (out of 5) across all four themes seen together. In essence, the sessions supported students to explore global health issues from a different cultural perspective while developing intercultural communication skills and enhancing their global exposure in real-time. Discussions: This innovation, implemented as a proof of concept, provided evidence, and demonstrated the implementation feasibility of a flexible virtual integrated practice-based module that can supplement classroom teaching. It provides participating students with the opportunity to develop intercultural understanding and communication competence as well as support global mindedness by engaging with international peers around focused global health case studies.

Improving birth preparedness and complication readiness in rural India through an integrated microfinance and health literacy programme: evidence from a quasi-experimental study.

OBJECTIVE: Recently, a novel community health programme-the integrated microfinance and health literacy (IMFHL) programme was implemented through microfinance-based women's only self-help groups (SHGs) in India to promote birth preparedness and complication readiness (BPCR) to improve maternal health. The study evaluated the impact of the IMFHL programme on BPCR practice by women in one of India's poorest states-Uttar Pradesh-adjusting for the community, household and individual variables. The paper also examined for any diffusion of knowledge of BPCR from SHG members receiving the health literacy intervention to non-members in programme villages. DESIGN: Quasi-experimental study using cross-sectional survey data. SETTINGS: Secondary survey data from the IMFHL programme were used. PARTICIPANTS: Survey data were collected from 17 244 women in households with SHG member and non-member households in rural India. PRIMARY OUTCOMES: Multivariable logistic regression was used to estimate main and adjusted IMFHL programme effects on maternal BPCR practice in their last pregnancy. RESULTS: Membership in SHGs alone is positively associated with BPCR practice, with 17% higher odds (OR=1.17, 95% CI 1.07 to 1.29, p<0.01) of these women practising BPCR compared with women in villages without the programmes. Furthermore, the odds of practising complete BPCR increase to almost 50% (OR=1.48, 95% CI 1.35 to 1.63, p<0.01) when a maternal health literacy component is added to the SHGs. A diffusion effect was found for BPCR practice from SHG members to non-members when the health literacy component was integrated into the SHG model. CONCLUSIONS: The results suggest that SHG membership exerts a positive impact on planned health behaviour and a diffusion effect of BPCR practice from members to non-members when SHGs are enriched with a health literacy component. The study provides evidence to guide the implementation of community health programmes seeking to promote BPCR practise in low resource settings.

Sexual Predilection of Lingual Morphology - A Cross-sectional Comparative Study.

Background: Proof of identity acts as a key title role in any criminal investigation. Training of tongue prints has been documented and acknowledged as the gold standard for personal identification worldwide nowadays. Tongue printing has proved as an innovative biometric tool and can be relied upon as an authoritative forensic tool. Research works have been carried out on tongue print independently. However, studies focusing on the morphology or shape of the tongue have not been commenced to a prodigious scope. Aim: The contemporary trial was undertaken upon the people to train and scrutiny the morphological shape of the tongue and validate their magnitude as assistance in sexual dimorphism. Materials and Methods: Hundred dental students in the age group of 18-25 years were included in the trial. For the trial clinical scrutiny, photographs and lingual impressions were recorded of the tongue. Results: In the current trial of the shape of the tongue for gender identification, we used two classifications. According to TCM criteria, five tongue shapes were used for gender identification: rectangle, acute triangle, obtuse triangle, square, and circle. Among the 100 subjects, the square-shaped tongue was chiefly observed, trailed by the circle and obtuse triangle. In the second criteria, Stefanescu et al. classified tongues into two shapes: U- and V-shaped. When the tongue shape was scrutinized, U shape was seen in 79 persons and V shape in 21 persons out of 100 subjects. Conclusion: Hence, the trial concluded that tongue prints exhibited a qualitative result among diverse sex groupings. It can be preached that the human tongue possibilities to distribute a point of exceptionality in morphological shape; besides, it is apt for utilization in gender acknowledgment.

Practical protocols for managing patients with SARS-CoV-2 infection (COVID-19) in the emergency department.

Coronavirus disease (COVID-19), caused by the SARS-CoV-2 virus, originated in Wuhan, Hubei Province, China in late 2019 and grew rapidly into a pandemic. As of the writing of this monograph, there are over 100 million confirmed cases worldwide and 2.3 million deaths.1 New York City, with over 630,000 COVID-19-positive patients and over 27,000 deaths, became the infection epicenter in the United States. The Mount Sinai Health System, with 8 hospitals spread across New York City and Long Island, has been on the forefront of the pandemic. This compendium summarizes the lessons learned through interdisciplinary collaborations to meet the varied challenges created by the explosive appearance of the infection in our community, and will be updated continuously as new research and best practices emerge. It is our hope is that the collaborations and lessons learned that went into creating these guidelines and protocols can serve as a useful template for other systems to adapt to their fight against COVID-19.

Emergency department COVID management policies: one institution's experience and lessons learned.

Coronavirus disease (COVID-19), caused by the SARS-CoV-2 virus, originated in Wuhan, Hubei Province, China in late 2019 and grew rapidly into a pandemic. As of the writing of this monograph, there are over 2 million confirmed cases worldwide and 147,000 deaths. New York City, with over 120,000 COVID-19-positive patients and over 11,000 deaths, has become the infection epicenter in the United States. The Mount Sinai Health System, with 8 hospitals spread across New York City and Long Island, has been on the forefront of the pandemic. This compendium summarizes the lessons learned through interdisciplinary collaborations to meet the varied challenges created by the explosive appearance of the infection in our community, and will be updated continuously as new research and best practices emerge. It is our hope is that the collaborations and lessons learned that went into creating these guidelines and protocols can serve as a useful template for other systems to adapt to their fight against COVID-19.

Participation in microfinance based Self Help Groups in India: Who becomes a member and for how long?

INTRODUCTION: Microfinance is a widely promoted developmental initiative to provide poor women with affordable financial services for poverty alleviation. One popular adaption in South Asia is the Self-Help Group (SHG) model that India adopted in 2011 as part of a federal poverty alleviation program and as a secondary approach of integrating health literacy services for rural women. However, the evidence is limited on who joins and continues in SHG programs. This paper examines the determinants of membership and staying members (outcomes) in an integrated microfinance and health literacy program from one of India's poorest and most populated states, Uttar Pradesh across a range of explanatory variables related to economic, socio-demographic and area-level characteristics. METHOD: Using secondary survey data from the Uttar Pradesh Community Mobilization project comprising of 15,300 women from SHGs and Non-SHG households in rural India, we performed multivariate logistic and hurdle negative binomial regression analyses to model SHG membership and duration. RESULTS: While in general poor women are more likely to be SHG members based on an income threshold limit (government-sponsored BPL cards), women from poorest households are more likely to become members, but less likely to stay members, when further classified using asset-based wealth quintiles. Additionally, poorer households compared to the marginally poor are less likely to become SHG members when borrowing for any reason, including health reasons. Only women from moderately poor households are more likely to continue as members if borrowing for health and non-income-generating reasons. The study found that an increasing number of previous pregnancies is associated with a higher membership likelihood in contrast to another study from India reporting a negative association. CONCLUSION: The study supports the view that microfinance programs need to examine their inclusion and retention strategies in favour of poorest household using multidimensional indicators that can capture poverty in its myriad forms.

Autofluorescence Bronchoscopy Video Analysis for Lesion Frame Detection.

Because of the significance of bronchial lesions as indicators of early lung cancer and squamous cell carcinoma, a critical need exists for early detection of bronchial lesions. Autofluorescence bronchoscopy (AFB) is a primary modality used for bronchial lesion detection, as it shows high sensitivity to suspicious lesions. The physician, however, must interactively browse a long video stream to locate lesions, making the search exceedingly tedious and error prone. Unfortunately, limited research has explored the use of automated AFB video analysis for efficient lesion detection. We propose a robust automatic AFB analysis approach that distinguishes informative and uninformative AFB video frames in a video. In addition, for the informative frames, we determine the frames containing potential lesions and delineate candidate lesion regions. Our approach draws upon a combination of computer-based image analysis, machine learning, and deep learning. Thus, the analysis of an AFB video stream becomes more tractable. Using patient AFB video, 99.5%/90.2% of test frames were correctly labeled as informative/uninformative by our method versus 99.2%/47.6% by ResNet. In addition, ≥97% of lesion frames were correctly identified, with false positive and false negative rates ≤3%.Clinical relevance-The method makes AFB-based bronchial lesion analysis more efficient, thereby helping to advance the goal of better early lung cancer detection.

Reporting sterilization as a current contraceptive method among sterilized women: lessons learned from a population with high sterilization rates, Rajasthan, India.

OBJECTIVE: Measuring current use of contraception relies on self-reported responses from survey respondents. Reporting validity may be affected by women's interpretation of the question and may vary by background characteristics of women. The study aims to understand levels and patterns of underreporting of female sterilization in a population with high sterilization rates. STUDY DESIGN: Data came from the Performance Monitoring and Accountability 2020 survey conducted in Rajasthan, India, in early 2017. In addition to a conventional question to ascertain current contraceptive use, the survey included a probing question; women who did not report sterilization as a current method were asked if they were ever sterilized. Women were defined as sterilization users based on either question. Among sterilized women, we estimated the percent who reported sterilization as a current method. Multivariable logistic regression analysis was conducted to assess differential reporting across background characteristics. RESULTS: Among women who were ever sterilized, 78% reported currently using any contraceptive method(s), and 77% reported sterilization as the current method. Women in the lowest household wealth quintile or in general caste were less likely to report sterilization as a current method. Time since sterilization was not associated with correct reporting of sterilization. CONCLUSION: This study demonstrates, in a population with high sterilization, that sterilization as a current contraceptive method would be substantially underestimated using conventional survey questions. It highlights the importance of context-specific questionnaire adaptation to measure and monitor contraceptive use and provides implications in measuring current use of contraception in populations with high rates of sterilization. IMPLICATIONS: The paper examined reporting of sterilization as a current method among sterilized women. Only 77% of sterilized women reported sterilization as a current contraceptive method. In a population with high sterilization, inclusion of a probe question in surveys is recommended to understand reporting quality and accurately measure contraceptive prevalence rates.