Understanding trimester-specific miscarriage risk in Indian women: insights from the calendar data of National Family Health Survey (NFHS-5) 2019-21.

BACKGROUND: The primary public health issue, especially in low- and middle-income countries, is early pregnancy loss driven by miscarriage. Understanding early pregnancy losses and the characteristics of mothers who have miscarriages is essential to creating effective reproductive health strategies. Thus, this study's primary goal is to delve into the factors which impact miscarriages that take place prior to and following the first 12 weeks of gestation. METHODS: The bivariate analysis was employed to determine the frequency of miscarriages. The factors associated with miscarriages in the first (≤12 weeks) and second & above (> 12 weeks) trimesters of pregnancy were then examined using a generalised linear regression model, with 95% confidence intervals. Finally, we use ArcGIS to illustrate the prevalence of miscarriage in the districts of India. RESULTS: Our result shows that miscarriages occur often in India (4.9%), with 23% of cases occurring in the first trimester (≤12 weeks). In our bivariate analysis, we identified several factors associated with a higher prevalence of miscarriages in India. It was found that mothers aged thirty years or older, residing in urban areas, with less than ten years of education, belonging to the richest wealth quantile, expressing a desire for more children, having no demand for contraception, and possessing no parity experienced a higher prevalence of miscarriage in total pregnancies in India. On the other hand, the generalised linear model's findings show that mothers who are thirty years of age or older, practise other religions, live in urban areas, are members of other castes, want more children, marry before the age of eighteen, and meet their contraceptive needs are more likely to have miscarriages in total pregnancy. However, there is a larger likelihood of miscarriage in the first trimester (≤12 weeks) for mothers who follow other religions, live in urban areas, are from Other Backward Class (OBC), get married before the age of eighteen, and fall into the middle and upper wealth quantiles. A mother is more likely to miscarriage in the second & above (> 12 weeks) trimesters if she is older than thirty, from other castes, wants more children, has moderate media exposure, marries before turning eighteen, meets her contraceptive needs, and does not feel the need for contraception. After accounting for socioeconomic characteristics, all results were statistically significant. CONCLUSIONS: Given the substantial number of miscarriages in India, police need to improve planning and guidance in order to lower pregnancy loss due to miscarriage. Miscarriage rates may be significantly decreased by enhancing the availability and quality of reproductive health care infrastructure, particularly in rural areas.

Prevalence and predictors of risk factors for cardiovascular diseases among women aged 15-49 years across urban and rural India: findings from a nationwide survey.

BACKGROUND: Women's health is usually looked upon in terms of their reproductive health. However, cardio-vascular diseases are one of the leading causes of death and disability among women, globally as well as in India. Risk factors of today can be disease of tomorrow. Gradience in level of epidemiological transition is observed across different states. The study aims to estimate the national and regional prevalence, and sociodemographic determinants of biological and behavioural risk factors for cardiovascular diseases. MATERIALS AND METHODS: The present study was conducted among women in the age group of 15 to 49 years using nationally representative sample from fifth round National Family Health Survey in India. The data analysis in the current study included 7,24,115 women in the age group of 15 to 49 years. SPSS version 20 was used for the purpose of analysis. Weighted prevalence was computed for the studied behavioral and biological (dependent variable) risk factors using women specific weights as provided in the dataset. Binary logistic regression model was employed to calculate the adjusted odds ratio (OR) with the corresponding 95% confidence interval (CI) to study the sociodemographic determinants (independent variables) of these risk factors. RESULTS: Highest prevalent risk factor for cardiovascular diseases was reported to be central obesity (78.2%), followed by overweight/obesity (23.9%), oral contraceptive use (13.4%), raised blood pressure (11.8%), raised blood sugar (8.6%), tobacco use (4.0%), and alcohol use (0.7%). Higher odds of all the studied risk factors were reported with increasing age. All of the studied risk factors, except for alcohol consumption [OR (95%CI): 0.9 (0.8-0.96)], had higher odds in rural areas compared to urban areas. Compared to other castes, the odds of tobacco [OR (95% CI): 2.01 (1.91-2.08)] and alcohol consumption [OR (95% CI): 5.76 (5.12-6.28)], and raised blood pressure [OR (95% CI): 1.07(1.04-1.11)] was significantly higher among the people belonging to schedule tribe. CONCLUSION AND RECOMMENDATION: The present study highlights the state-wise disparities in the burden and predictors of risk factors for cardio-vascular diseases among women of reproductive age. The study provides insights to these disparities, and focuses on the need of tailoring the disease prevention and control measures suiting to the local needs.

Prevalence of anaemia among married women with recent birth history and high-risk fertility behaviour: secondary data analysis of the National Family Health Survey-India (2019-21).

OBJECTIVES: To describe the prevalence of anaemia among currently married women with high-risk fertility behaviour (HRFB) based on age, parity and birth spacing indicators. DESIGN: Cross-sectional study. SETTINGS AND PARTICIPANTS: Fifth round of the National Family Health Survey (NFHS) was conducted in India (2019-2021) and included a nationally representative sample of 724, 115 women in the reproductive age group (15-49). Our analysis focused exclusively on married women who had given birth in the preceding 5 years. PRIMARY AND SECONDARY OUTCOME MEASURES: The prevalence of anaemia with HRFB was the primary outcome, and the likelihood of having anaemia due to HRFB was the secondary outcome. DATA AND METHODS: Secondary data analysis of the NFHS-5 (2019-2021) datasets was done using a weighted analysis to determine anaemia prevalence in different HRFB categories. Bivariate analysis was done using the χ2 test, and multiple binary logistic regression analyses were done to estimate the odds of having anaemia due to HRFB after adjusting for known confounders. A p value <0.05 was reported as statistically significant. RESULTS: The final analysis comprised 145,468 women, of whom 59.1% had anaemia. About 53.1% of women depicted 'No risk' fertility behaviour, and 34.6% and 12.3% had single and multiple HRFB. Women with 'no-risk,' single and multiple HRFB had anaemia prevalence rates of 58.1%, 59.4% and 63.1%, respectively. Women with 'Single risk' had an 18% higher likelihood (1.18; 1.13-1.22) of having anaemia after controlling for confounding variables, compared with the HRFB category with 'No risk.' Women with 'Multiple risks' showed a 6% higher likelihood (adjusted OR 1.06; 95% CI 1.03 to 1.08). CONCLUSIONS: Anaemia remains a prevalent issue in India, and HRFB is observed as a significant contributing factor. This vulnerable group can be targeted through multiple interventions and further our efforts to realise our anaemia-related goals.

Prevalence of risk factors and estimation of 10-year risk for cardiovascular diseases among male adult population of Tamil Nadu India-an insight from the National Family Health Survey-5.

OBJECTIVE: Cardiovascular diseases (CVD) are one of the most addressed preventable diseases of public health importance. However, the risk estimates and use of these risk scores for CVD prevention are the least explored areas. So, in this study, we explored the different categories of Framingham heart study (FHS) 10-year-CVD risk score and their associated factors among the adult male population in Tamil Nadu, India. METHODS: We used the risk factor level data for male adults aged 18 years and above from the National Family Health Survey (NFHS-5) of Tamil Nadu state, India. Sociodemographic variables, behavioral factors, and physiological/biochemical factors were considered as the risk factor and were estimated using the world health organization (WHO) STEPS categories. FHS 10-year-CVD risk score was calculated using a body-mass index-based published Cox regression equation. RESULTS: Out of 2289 adult males, only 1.12% of the participants had a 10-year CVD risk score greater than 30% and ∼4% of the total participants require statin treatment (FRS-CVD risk score ≥20). Educational status (aOR:14.21, 95 CI: 4.36-46.22- no formal schooling when compared to 10th and above standard), weekly fruit intake (aOR:0.51, 95 CI: 0.27-0.97 when compared to daily fruit intake) and abdominal obesity (aOR:2.43, 95 CI: 1.58-3.74) were found to be associated with higher FRS scores when adjusted for all other factors not involved in FRS calculation. CONCLUSION: Widespread use of this score needs to be encouraged in clinical practices and patients with a higher risk of CVD events should be counselled for lifestyle modifications and compliance with treatment for decreasing the burden due to CVDs.

Epidemiology of type 2 diabetes mellitus and treatment utilization patterns among the elderly from the first wave of Longitudinal Aging study in India (2017-18)using a Heckman selection model.

INTRODUCTION: Unmanaged Type 2 diabetes mellitus (T2DM) substantially contributes to the multi-morbidity of the elderly. Fewer research has concentrated on understanding the determinants of treatment utilization among older people, with even lesser concerns about missing data in outcome variables leading to biased estimates. The present study intends to evaluate the epidemiology of T2DM in the elderly in India and explore the socioeconomic and behavioral risk factors determining the treatment utilization among the elderly > 60 years in India by addressing the missing data to generate robust estimates. METHODS: The secondary analysis used data from the Longitudinal Ageing Study in India. The key dependent variables were the presence or absence of T2DM and treatment utilization. Descriptive statistics were used to understand the differences in the prevalence of diabetes and the utilization of treatment across various socio-demographic characteristics. Heckman's statistical technique evaluated the predictors of T2DM and treatment utilization. Analysis was done using STATA software version 14.0. RESULTS: Almost 14% elderly reported to be living with T2DM. The odds of living with T2DM increased with non-working status, a sedentary lifestyle, and a higher BMI. A higher proportion of the elderly was on oral drugs than insulin and had been practicing lifestyle modifications to control their disease. The probability of developing T2DM was lower among females than males, but females had better odds for treatment utilization of health medication than males. Lastly, treatment utilization was significantly affected by socio-demographic characteristics like education and monthly per capita expenditure. CONCLUSIONS: Treatment utilization by the elderly living with T2DM is significantly affected by socio-demographic characteristics. Keeping in mind the increasing proportion of the geriatric population in our country, it is pertinent to tailor-made counseling sessions for the elderly to improve medication utilization and adherence and realize our goals concerning non-communicable diseases.

Does sexual Intimate Partner Violence (IPV) increase risk of multiple high-risk fertility behaviours in India: evidence from National Family Health Survey 2015-16.

BACKGROUND: One in three women from lower and middle-income countries are subjected to physical and/or sexual intimate partner violence (IPV) in their life span. Prior studies have highlighted a range of adverse health impacts of sexual IPV. However, less is known about the link between multiple high-risk fertility behaviours and sexual intimate partner violence. The present study examines the statistical association between multiple high-risk fertility behaviours and sexual intimate partner violence among women in India. METHODS: The present study used a nationally representative dataset, the National Family Health Survey (NFHS-4) 2015-16. A total of 23,597 women were included in the study; a subsample of married women of reproductive age who have had at least one child 5 years prior to the survey and who had valid information about sexual IPV. Logistic regression models were employed alongside descriptive statistics. RESULTS: Approximately 7% of women who are or had been married face sexual IPV. The prevalence of sexual violence was higher among women who had short birth intervals and women who had given birth more than three times (12%). Around 11% of women who had experienced any high-risk fertility behaviours also experienced sexual violence. The unadjusted association suggested that multiple high-risk fertility behaviours were 32% (UORs = 1.32, 95% CI: 1.16-1.50) higher for those women who experienced sexual violence. After adjusting for other sociodemographic variables, except for women's education and wealth quantile, the odds of multiple high-risk fertility behaviours were 16% (AOR = 1.16; 95% CI: 1.02-1.34) higher among women who faced sexual violence. The inclusion of women's educational attainment and wealth status in the model made the association between sexual IPV and high-risk fertility behaviours insignificant. CONCLUSION: Sexual intimate partner violence is statistically associated with high-risk fertility behaviours among women in India. Programs and strategies designed to improve women's reproductive health should investigate the different dimensions of sexual IPV in India.

Understanding the associations between maternal high-risk fertility behaviour and child nutrition levels in India: evidence from the National Family Health Survey 2015-2016.

Anthropometric markers are the most important aspect of a child's health assessment. Using large-scale nationally representative data from the National Family Health Survey (NFHS-4), 2015-2016, this study aimed to investigate the relationship between children born to women with high-risk fertility behaviours and children's health outcomes. The sample consisted of 2,55,726 children of currently married women aged 15-49 years in India. The key explanatory variable, high-risk fertility behaviour was defined by women's age at birth (below 18 or above 34 years), birth interval (less than 24 months), and higher birth orders (four and above). The key outcome variables for assessing child health outcomes were stunting, wasting, and underweight in children aged 0-59 months. We used descriptive statistics, Pearson's chi-square test and logistic regression models to analyse the objectives. Approximately 33% of children were born with any single high-risk condition in the last 5 years in India. The bivariate analysis showed that all three components of child health, stunting, wasting, and underweight, were higher among children born to women with high-risk fertility behaviour. The findings from the multivariable analysis suggest that children born with a high risk fertility behaviour were suffering from stunting (AOR = 1.30; 95% CI 1.27-1.33) and underweight (AOR = 1.23; 95% CI 1.20-1.27). In addition, children born to women of multiple high-risk categories had higher odds of stunting (AOR = 1.53; 95% CI 1.46-1.59) and underweight (AOR = 1.38; 95% CI 1.32-1.44) as compared to children born to women with no risk. Our findings highlight an urgent need for effective legislation to prevent child marriage that would be helpful in increasing the maternal age at birth. The government should also focus on the interventions in health education and improvement of reproductive healthcare to promote optimal birth spacing.

Inequalities in short-acting reversible, long-acting reversible and permanent contraception use among currently married women in India.

BACKGROUND: In India, the usage of modern contraception methods among women is relatively lower in comparison to other developed economies. Even within India, there is a state-wise variation in family planning use that leads to unintended pregnancies. Significantly less evidence is available regarding the determinants of modern contraception use and the level of inequalities associated with this. Therefore, the present study has examined the level of inequalities in modern contraception use among currently married women in India. METHODS: This study used the fourth round of National Family Health Survey (NFHS-4) conducted in 2015-16. Our analysis has divided the uses of contraception into three modern methods of family planning such as Short-Acting Reversible Contraception (SARC), Long-Acting Reversible Contraception (LARC) and permanent contraception methods. SARC includes pills, injectable, and condoms, while LARC includes intrauterine devices, implants, and permanent contraception methods (i.e., male and female sterilization). We have employed a concentration index to examine the level of socioeconomic inequalities in utilizing modern contraception methods. RESULTS: Our results show that utilization of permanent methods of contraception is more among the currently married women in the higher age group (40-49) as compared to the lower age group (25-29). Women aged 25-29 years are 3.41 times (OR: 3.41; 95% CI: 3.30-3.54) more likely to use SARC methods in India. Similarly, women with 15 + years of education and rich are more likely to use the LARC methods. At the regional level, we have found that southern region states are three times more likely to use permanent methods of contraception. Our decomposition results show that women age group (40-49), women having 2-3 children and richer wealth quintiles are more contributed for the inequality in modern contraceptive use among women. CONCLUSIONS: The use of SARC and LARC methods by women who are marginalized and of lower socioeconomic status is remarkably low. Universal free access to family planning methods among marginalized women and awareness campaigns in the rural areas could be a potential policy prescription to reduce the inequalities of contraceptive use among currently married women in India.

Sexual violence as a predictor of unintended pregnancy among married women of India: evidence from the fourth round of the National Family Health Survey (2015-16).

BACKGROUND: Sexual Intimate Partner Violence (IPV) is a public health problem globally, with about one in three women experiencing sexual IPV ever in their lifetime. Unintended pregnancy is one of the consequences of sexual IPV and has its repercussions that can span generations. The present study was conducted to estimate the prevalence of sexual intimate partner violence (IPV) and assess the association between sexual IPV and unintended childbirth in India among married women aged 15-49 years. METHODS: The National Family Health Survey-India (NFHS-4) fourth-round dataset was used for the present study. Pregnancies intention was the primary outcome variable, and the main predictor variable was self-reported sexual IPV in the past 12 months. Women's current age, age at marriage, education and occupation, place of residence, wealth quintile, parity, religion, caste, region, mass media exposure, and husband's education were other control variables. Weighted analysis depicted the prevalence of unintended pregnancies and their association with different socio-demographic variables. Binary logistic regression was done in two steps respecting a hierarchical approach for potential confounders. RESULTS: Approximately 6.4% of study participants had ever experienced sexual IPV in India. Prevalence of sexual IPV was significantly higher when the age of marriage was < 19 years, among uneducated, in the lowest wealth index quintile, belonging to scheduled caste, having multiparity, and not having mass media exposure. About 12.1% of pregnancies were considered unintended by the respondents, and 22.9% of women who ever had a history of sexual IPV considered the last pregnancy to be unintentional. Women who experienced sexual IPV were in younger age groups, having parity ≥1, and bigger families had significantly higher odds of having an unintended pregnancy compared to their reference groups. CONCLUSIONS: We observed that sexual IPV has a significant role in unintended pregnancies. Effective counseling means should be rolled out for victims of sexual IPV as it is a taboo subject. The significant factors that can predict unintended pregnancies highlighted in our study should be acknowledged while counseling.

Regional Water Availability and WASH Indicators as Predictors of Malnutrition in Under-5 Children: Analysis of the National Family Health Survey, India (2015-16).

BACKGROUND: Water, sanitation and hygiene (WASH) practices determine child nutrition in resource-constrained countries and are influenced by regional water availability. We assessed any relationship between malnutrition and WASH practices among under-5 children in India's areas as per water availability. METHODS: We did a secondary data analysis of the National Family Health Survey-IV. Stunting, wasting and being underweight were the significant outcomes. Regional water availability, households' source of water, sanitation and disposal of the child stool were the major independent variables. We report the prevalence estimates, bivariate associations and adjusted odds ratio to predict the child's malnutrition per regional water availability after using appropriate sampling weight. RESULTS: Of the 186 875 children, 41%, 20% and 36% were stunted, wasted and underweight. Only 26% of children had access to improved drinking water sources, whereas 50.0% were defecating in open. Around 65% of children's stools were disposed of in unhygienic ways. Undernutrition depicted a significant association with independent variables. There were higher chances of stunting with a decrease in regional water availability, unimproved sanitation and unhygienic ways of stool disposal. Wasting was intensified by all these factors, except the safe disposal of stools. CONCLUSIONS: WASH indicators exert a protective effect on undernutrition.

Relationship between height and hypertension among women in India: Evidence from the fourth round of National Family Health Survey.

BACKGROUND AND AIMS: Hypertension (HTN) is associated with significant morbidity and mortality, especially among women. Literature suggests an association between height and hypertension. We did this study to ascertain an association between hypertension and height and explore their determinants among Indian women of reproductive age group (15-49 years). METHODS: We did a secondary data analysis of the National Family Health Survey-4 (2015-16) and included 5,36,093 women between 20 and 49 years. Blood pressure and height were measured using the standard procedures. Weighted analysis was done to depict the association between the two variables. RESULTS: Overall prevalence of HTN was 13.49%. We observed an inverse association between height and mean blood pressure of the women, and shorter women had a higher prevalence of HTN. The height of women was found to be associated with lower systolic blood pressure but not with diastolic blood pressure. Women's height depicted significant associations with age and other socio-economic and geographical parameters. Prevalence of HTN depicted a significant association with height and across other subgroups stratified by these parameters. CONCLUSION: We observed a positive association between the systolic BP and the height of the female. Height is one of the most convenient forms of identifying target groups that should not be missed during screening women for NCDs, especially during pregnancy to prevent premature morbidity and mortality. We recommend disseminating this concept to our primary health care workers, who are also the point of first contact for early screening and halt the burden of disease.

Trends and correlates of intimate partner violence experienced by ever-married women of India: results from National Family Health Survey round III and IV.

BACKGROUND: The study aims to estimate the prevalence of Intimate partner violence (IPV) in India, and changes observed over a decade as per the nationally representative datasets from National Family Health Surveys (NFHS) Round 3 and 4. We also highlight various socio-demographic characteristics associated with different types of IPV in India. The NFHS round 3 and 4 interviewed 124,385, and 699,686 women respondents aged 15-49 years using a multi-stage sampling method across 29 states and 2 union territories in India. For IPV, we only included ever-married women (64,607, and 62,716) from the two rounds. Primary outcomes of the study was prevalence of the  ever-experience of different types of IPV: physical, emotional, and sexual violence by ever-married women aged 15 to 49 years. The secondary outcome included predictors of different forms of IPV, and changes in the prevalence of different types of IPV compared to the previous round of the NFHS survey. RESULTS: As per NFHS-4, weighted prevalence of physical, sexual, emotional, or any kind of IPV ever-experienced by women were 29.2%, 6.7%, 13.2%, and 32.8%. These subtypes of IPV depicted a relative change of - 14.9%, - 30.2%, - 11.0%, - 15.7% compared to round 3. Significant state-wise variations were observed in the prevalence. Multivariate  binary logistic regression analysis highlighted women's and partner's education, socio-economic status, women empowerment, urban-rural residence, partner's controlling behaviours as major significant predictors of IPV. CONCLUSIONS: Our study findings suggest high prevalence of IPV with state-wise variations in the prevalence. Similar factors were responsible for different forms of IPV. Therefore, based on existing evidences, it is recommended to offer adequate screening and counselling services for the couples, especially in health-care settings so that they speak up against IPV, and are offered timely help to prevent long-term physical and mental health consequences.

Epidemiology of overweight and obesity in Indian adults - A secondary data analysis of the National Family Health Surveys.

AIMS: National Family Health Survey (NFHS) conducted in India provide nationally comparable data on socio-demographic characteristics and anthropometric estimates. Present study was conducted to examine the prevalence of Indian adults who are living with overweight/obesity, their correlates, and trends observed between the last two rounds of the NFHS 2005-06 to 2015-16). METHODS: Socio-demographic characteristics and anthropometric estimates of respondents from NFHS round III & IV were analysed. Asian cut-offs were used for obesity classification. Of the total 198,754 and 811,808 eligible respondents, adults ≥18 years of age were included in the analysis. Prevalence and correlates were presented after taking into account stratification, clustering and sampling weights. GIS mapping was done to depict regional variations. RESULTS: Prevalence of men and women living with overweight/obesity were observed to be 38.4% and 36.2% respectively. Wide variations were observed in prevalence across the regions of India. Results of multivariate analysis showed that the strongest predictors for being overweight or obese were older age, currently in union, higher education, richest wealth quintile, and living in urban areas. CONCLUSION: The present study highlights the rising prevalence across the urban and rural locations and has implications for policy change based on the prevalence estimates.

Trends and patterns of second-hand smoke exposure amongst the non-smokers in India-A secondary data analysis from the Global Adult Tobacco Survey (GATS) I & II.

OBJECTIVES: The primary objective of the present study was to compare the prevalence and patterns of second-hand smoke (SHS) exposure in the home, workplace, public places, and at all three places amongst the non-smoker respondents between the two rounds of Global Adult Tobacco Survey (GATS) in India. The secondary objectives were to assess the differences in various factors associated with SHS exposure among non-smokers. STUDY DESIGN: This secondary data analysis incorporated data generated from the previous two rounds of the cross-sectional, nationally representative GATS India, which covered 69,296 and 74,037 individuals aged 15 years and above. Exposure to the SHS at home, workplace, and public places amongst the non-smokers were the primary outcome variables. Standard definitions of the surveys were used. RESULTS: The overall weighted prevalence of exposure to SHS amongst the non-smokers inside the home and public places reduced. In contrast, the prevalence in the workplace increased marginally in round II compared to I. The proportion of adults who were exposed to SHS at all three places did not change much in two rounds of surveys. A decrease in the knowledge of the respondents exposed to SHS at home and public places was observed about the harmful effects of smoking in round II. Age, gender, occupation, place, and region of respondents were found to be significant determinants of SHS exposure at all the three places on multinomial logistic regression analysis. CONCLUSIONS: The study calls for focused interventions in India and stringent implementation of anti-tobacco legislation, especially in the workplaces for reducing the exposure to SHS amongst the non-smokers and to produce encouraging and motivating results by next round of the survey.

Factors affecting recruitment and retention of community health workers in a newborn care intervention in Bangladesh.

BACKGROUND: Well-trained and highly motivated community health workers (CHWs) are critical for delivery of many community-based newborn care interventions. High rates of CHW attrition undermine programme effectiveness and potential for implementation at scale. We investigated reasons for high rates of CHW attrition in Sylhet District in north-eastern Bangladesh. METHODS: Sixty-nine semi-structured questionnaires were administered to CHWs currently working with the project, as well as to those who had left. Process documentation was also carried out to identify project strengths and weaknesses, which included in-depth interviews, focus group discussions, review of project records (i.e. recruitment and resignation), and informal discussion with key project personnel. RESULTS: Motivation for becoming a CHW appeared to stem primarily from the desire for self-development, to improve community health, and for utilization of free time. The most common factors cited for continuing as a CHW were financial incentive, feeling needed by the community, and the value of the CHW position in securing future career advancement. Factors contributing to attrition included heavy workload, night visits, working outside of one's home area, familial opposition and dissatisfaction with pay. CONCLUSIONS: The framework presented illustrates the decision making process women go through when deciding to become, or continue as, a CHW. Factors such as job satisfaction, community valuation of CHW work, and fulfilment of pre-hire expectations all need to be addressed systematically by programs to reduce rates of CHW attrition.

Community-based validation of assessment of newborn illnesses by trained community health workers in Sylhet district of Bangladesh.

OBJECTIVES: To validate trained community health workers' recognition of signs and symptoms of newborn illnesses and classification of illnesses using a clinical algorithm during routine home visits in rural Bangladesh. METHODS: Between August 2005 and May 2006, 288 newborns were assessed independently by a community health worker and a study physician. Based on a 20-sign algorithm, sick neonates were classified as having very severe disease, possible very severe disease or no disease. The physician's assessment was considered as the gold standard. RESULTS: Community health workers correctly classified very severe disease in newborns with a sensitivity of 91%, specificity of 95% and kappa value of 0.85 (P < 0.001). Community health workers' recognition showed a sensitivity of more than 60% and a specificity of 97-100% for almost all signs and symptoms. CONCLUSION: Community health workers with minimal training can use a diagnostic algorithm to identify severely ill newborns with high validity.

Longitudinal study on pneumococcal carriage during the first year of life in Bangladesh.

BACKGROUND: The strong herd immunity effect and the serotype replacement associated with the use of the pneumococcal conjugate vaccine have highlighted the importance of asymptomatic pneumococcal carriage. To describe the development of pneumoccoccal carriage in a developing country setting we carried out a longitudinal pneumococcal carriage study in Bangladesh. METHODS: Ninety-nine children, born in Savar, Bangladesh between May 2000 and April 2001, were enrolled in the study with their families. Nasopharyngeal samples were collected at prescheduled 2-4 week intervals from the index children and from their family members. The nasopharyngeal swabs were cultured for pneumococcal growth and pneumococci were identified and serotyped by standard methods. RESULTS: We collected 1459 samples (92% of those planned) from the 99 index children and 2865 samples from other family members. The data showed high point prevalences of pneumococcal carriage among newborns (40-50% from 8 weeks of age on), a rapid pneumococcal acquisition with age (50% of the children had been colonized by pneumococci at least once by the age of 8 weeks) and a wide range of different serogroups/types (SGT). SGT 6 and 19 accounted for 35% of the pneumococci isolated from children <1-year-old, followed by SGT 15, 23, and 10 for a total of 56%. The SGT distribution in children up to 9-year-old was similar to that among the <1 year olds, with SGT 6 and 19 predominating. Older children and adults differed from the younger children by not having clearly predominating SGTs. CONCLUSIONS: The features found in our study are typical of pneumococcal carriage in developing countries. We believe that results from longitudinal modeling of carriage based on these extensive data can have wide geographic application.