Self-reported diabetes or hypertension diagnoses and antenatal care among child-bearing women in rural Bangladesh: A cross-sectional study.

Health care systems in low- and middle-income countries may not meet the needs of pregnant women where the burden of diabetes and hypertension is rapidly increasing. We asked recently pregnant women about ever having been screened for or diagnosed with hypertension or diabetes and their ANC-seeking experiences in a cross-sectional survey. We used chi-squared tests and logistic regression to test the associations between self-reported coverage of hypertension and diabetes screening, diagnoses, and elements of ANC by age, wealth, educational attainment, and gravidity. Among 4,692 respondents, for hypertension, 97% reported having been screened and 10% of screened women reported a diagnosis. Women 30-39 years of age (aOR 3.02, 95% CI 2.00, 4.56) or in the top wealth quintile (aOR 1.70, 95% CI 1.18, 2.44) were more likely to be diagnosed with hypertension compared to reference groups. Any hypertension diagnosis was associated with reporting four or more antenatal care contacts (44% vs. 35%, p < 0.01), blood pressure measurements (85% vs. 79%, p < 0.01), and urine tests (71% vs. 61%, p < 0.01) conducted during ANC visits. For diabetes, 46% of respondents reported having been screened and 3% of screened women reported a diagnosis. Women 30-39 years of age were more likely to be diagnosed with diabetes (aOR 8.19, 95% CI 1.74, 38.48) compared to the reference group. Any diabetes diagnosis was associated with reporting four or more ANC contacts (48% vs. 36%, p = 0.04) and having blood testing during pregnancy (83% vs. 66%, p < 0.01). However, the frequency and quality of ANC was below the national guidelines among all groups. Focused efforts to ensure that women receive the recommended number of ANC contacts, coupled with improved compliance with ANC guidelines, would improve awareness of hypertension and diabetes among women in Bangladesh.

Child marriage in rural Bangladesh and impact on obstetric complications and perinatal death: Findings from a health and demographic surveillance system.

Adolescent pregnancies, a risk factor for obstetric complications and perinatal mortality, are driven by child marriage in many regions of South Asia. We used data collected between 2017-2019 from 56,155 married adolescents and women in a health and demographic surveillance system to present a population-level description of historical trends in child marriage from 1990-2019 as well as epidemiologic associations between maternal age and pregnancy outcomes in Baliakandi, a rural sub-district of Bangladesh. For pregnancies identified between 2017-2019, we used Kaplan-Meier estimates to examine timing of first pregnancies after first marriage and multinomial logistic regression to estimate associations between maternal age and perinatal death. We described the frequency of self-reported obstetric complications at labor and delivery by maternal age. In 1990, 71% of all marriages were to female residents under 18 years of age. This decreased to 57% in 2010, with the largest reduction among females aged 10-12 years (22% to 3%), and to 53% in 2019. Half of all newly married females were pregnant within a year of marriage, including adolescent brides. Although we observed a decline in child marriages since 1990, over half of all marriages in 2019 were to child brides in Baliakandi. In this same population, adolescent pregnancies were more likely to result in obstetric complications (13-15 years: 36%, 16-17 years: 32%, 18-34 years: 23%; χ2 test, p<0.001) and perinatal deaths (13-15 years: stillbirth OR 2.23, 95% CI 1.01-2.42; 16-17 years: early neonatal death OR 1.57, 95% CI: 1.01-2.42) compared to adult pregnancies. Preventing child marriage can improve the health of girls and contribute to Bangladesh's commitment to reducing child mortality.

Factors Associated with Neonatal Survival in a Special Care Newborn Unit in a Tertiary Care Hospital in Bangladesh.

The 2020 neonatal mortality rate in Bangladesh was 17 deaths per 1,000 live births, higher than the 2030 Sustainable Development Goal target (12 deaths per 1,000 live births). Over the past decade, Bangladesh has established special care newborn units (SCANUs) in medical facilities countrywide to improve neonatal survival. We conducted a retrospective cohort study in the SCANU of a tertiary-level healthcare facility in Bangladesh to study neonatal survival and associated risk factors using descriptive statistics and logistic regression models. Of 674 neonates admitted to the unit between January and November 2018, 263 (39%) died in hospital, 309 (46%) were discharged against medical advice, 90 (13%) were discharged healthy, and 12 (2%) had other discharge statuses. The median duration of time spent in hospital was 3 days, and 60% were admitted at birth. Neonates delivered via Cesarean section (adjusted odds ratio [aOR]: 2.5; 95% CI: 1.2-5.6) had an increased odds of recovering and being discharged, whereas those diagnosed with prematurity and/or low birth weight at admission (aOR: 0.2; 95% CI: 0.1-0.4) had a decreased odds of doing so. The high mortality rate and large number of neonates discharged against medical advice suggest a need to investigate the etiology of death and the factors leading to children leaving hospital prior to recovery. Medical records lacked information on gestational age that could provide key insights about mortality risk and age of viability in this setting. Addressing these knowledge gaps in SCANUs may enable better support for the improvement of child survival.

Indirect effects of the early phase of the COVID-19 pandemic on the coverage of essential maternal and newborn health services in a rural subdistrict in Bangladesh: results from a cross-sectional household survey.

OBJECTIVE: This paper presents the effect of the early phase of COVID-19 on the coverage of essential maternal and newborn health (MNH) services in a rural subdistrict of Bangladesh. DESIGN: Cross-sectional household survey with random sampling. SETTING: Baliakandi subdistrict, Rajbari district, Bangladesh. PARTICIPANTS: Data were collected from women who were on the third trimester of pregnancy during the early phase of the pandemic (111) and pre-pandemic periods (115) to measure antenatal care (ANC) service coverage. To measure birth, postnatal care (PNC) and essential newborn care (ENC), data were collected from women who had a history of delivery during the early phase of the pandemic (163) and pre-pandemic periods (166). EXPOSURE: Early phase of the pandemic included a strict national lockdown between April and June 2020, and pre-pandemic was defined as August-October 2019. OUTCOME OF INTEREST: Changes in the coverage of selected MNH services (ANC, birth, PNC, ENC) during the early phase of COVID-19 pandemic compared with the pre-pandemic period, estimated by two-sample proportion tests. FINDINGS: Among women who were on the third trimester of pregnancy during the early phase of the pandemic period, 77% (95% CI: 70% to 85%) received at least one ANC from a medically trained provider (MTP) during the third trimester, compared with 83% (95% CI: 76% to 90%) during the pre-pandemic period (p=0.33). Among women who gave birth during the early phase of the pandemic period, 72% (95% CI: 66% to 79%) were attended by an MTP, compared with 63% (95% CI: 56% to 71%) during the pre-pandemic period (p=0.08). Early initiation of breast feeding was practised among 38% (95% CI: 31% to 46%) of the babies born during the early phase of the pandemic period. It was 37% (95% CI: 29% to 44%) during the pre-pandemic period (p=0.81). The coverage of ANC, birth, PNC and ENC did not differ by months of pandemic and pre-pandemic periods; only the coverage of at least one ANC from an MTP significantly differed among the women who were 7 months pregnant during the early phase of the pandemic (35%, 95% CI: 26% to 44%) and pre-pandemic (49%, 95% CI: 39% to 58%) (p=0.04). CONCLUSION: The effect of the early phase of the pandemic including lockdown on the selected MNH service coverage was null in the study area. The nature of the lockdown, the availability and accessibility of private sector health services in that area, and the combating strategies at the rural level made it possible for the women to avail the required MNH services.

Analyzing spatial and space-time clustering of facility-based deliveries in Bangladesh.

BACKGROUND: A spatial and temporal study of the distribution of facility-based deliveries can identify areas of low and high facility usage and help devise more targeted interventions to improve delivery outcomes. Developing countries like Bangladesh face considerable challenges in reducing the maternal mortality ratio to the targets set by the Sustainable Development Goals. Recent studies have already identified that the progress of reducing maternal mortality has stalled. Giving birth in a health facility is one way to reduce maternal mortality. METHODS: Facility delivery data from a demographic surveillance site was analyzed at both village and Bari (comprising several households with same paternal origins) level to understand spatial and temporal heterogeneity. Global spatial autocorrelation was detected using Moran's I index while local spatial clusters were detected using the local Getis G i * statistics. In addition, space-time scanning using a discrete Poisson approach facilitated the identification of space-time clusters. The likelihood of delivering at a facility when located inside a cluster was calculated using log-likelihood ratios. RESULTS: The three cluster detection approaches detected significant spatial and temporal heterogeneity in the distribution of facility deliveries in the study area. The hot and cold spots indicated contiguous and relocation type diffusion and increased in number over the years. Space-time scanning revealed that when a parturient woman is located in a Bari inside the cluster, the likelihood of delivering at a health facility increases by twenty-seven times. CONCLUSIONS: Spatiotemporal studies to understand delivery patterns are quite rare. However, in resource constraint countries like Bangladesh, detecting hot and cold spot areas can aid in the detection of diffusion centers, which can be targeted to expand regions with high facility deliveries. Places and periods with reduced health facility usages can be identified using various cluster detection techniques, to assess the barriers and facilitators in promoting health facility deliveries.

A community-based cluster randomized controlled trial (cRCT) to evaluate the impact and operational assessment of "safe motherhood and newborn health promotion package": study protocol.

BACKGROUND: Despite considerable progress in reduction of both under-five and maternal mortality in recent decades, Bangladesh is still one of the low and middle income countries with high burden of maternal and neonatal mortality. The primary objective of the current study is to measure the impact of a comprehensive package of interventions on maternal and neonatal mortality. In addition, changes in coverage, quality and utilization of maternal and newborn health (MNH) services, social capital, and cost effectiveness of the interventions will be measured. METHODS: A community-based, cluster randomized controlled trial design will be adopted and implemented in 30 unions of three sub-districts of Chandpur district of Bangladesh. Every union, the lowest administrative unit of the local government with population of around 20,000-30,000, will be considered a cluster. Based on the baseline estimates, 15 clusters will be paired for random assignment as intervention and comparison clusters. The primary outcome measure is neonatal mortality, and secondary outcomes are coverage of key interventions like ANC, PNC, facility and skilled provider delivery. Baseline, midterm and endline household survey will be conducted to assess the key coverage of interventions. Health facility assessment surveys will be conducted periodically to assess facility readiness and utilization of MNH services in the participating health facilities. DISCUSSION: The current study is expected to provide essential strong evidences on the impact of a comprehensive package of interventions to the Bangladesh government, and other developmental partners. The study results may help in prioritizing, planning, and scaling-up of Safe Motherhood Promotional interventions in other geographical areas of Bangladesh as well as to inform other developing countries of similar settings. TRIAL REGISTRATION: NCT03032276 .

Using geospatial techniques to develop an emergency referral transport system for suspected sepsis patients in Bangladesh.

BACKGROUND: A geographic information system (GIS)-based transport network within an emergency referral system can be the key to reducing health system delays and increasing the chances of survival, especially during an emergency. We employed a GIS to design an emergency transport system for the rapid transfer of pregnant or early post-partum women, newborns, and children under 5 years of age with suspected sepsis under the Interrupting Pathways to Sepsis Initiative (IPSI) project. METHODS: A GIS database was developed by mapping the villages, roads, and relevant physical features of the study area. A travel-time algorithm was developed to incorporate the time taken by different modes of local transport to reach the health complexes. These were used in a network analysis to identify the shortest routes to the hospitals from the villages, which were categorized into green, yellow, and red zones based on their proximity to the nearest hospitals to provide transport facilities. An emergency call-in centre established for the project managed the transport system, and its data was used to assess the uptake of this transport system amongst distant communities. RESULTS: Fifteen pre-existing and two new routes were identified as the shortest routes to the health complexes. The call-in centre personnel used this route information to direct both patients and transport drivers to the nearest transport hubs or pick-up points. Adherence with referral advice was high in areas where the IPSI transport operated. Over the study period, the utilisation of the project's transport doubled and referral compliance from distant zones similarly increased. CONCLUSIONS: The GIS system created for this study facilitated rapid referral of patients in emergency from distant zones, using locally available transport and resources. The methodology described in this study to develop and implement an emergency transport system can be applied in similar, rural, low-income country settings.

Population-based Incidence and Etiology of Community-acquired Neonatal Viral Infections in Bangladesh: A Community-based and Hospital-based Surveillance Study.

BACKGROUND: The etiology of >90% of cases of suspected neonatal infection remains unknown. We conducted community-based surveillance in conjunction with hospital-based surveillance in a rural region in Bangladesh from June 2006 to September 2007 to assess the incidence and etiology of community-acquired viral infections among neonates. METHODS: Community health workers (CHWs) assessed neonates at home on days 0, 2, 5 and 8 after birth and referred cases of suspected illness to the hospital (CHW surveillance). Among neonates with clinically suspected upper respiratory tract infection (URTI), pneumonia, sepsis and/or meningitis, virus identification studies were conducted on nasal wash, cerebrospinal fluid and/or blood specimens. In the hospital-based surveillance, similar screening was conducted among all neonates (referred by CHWs and self-referred) who were admitted to the hospital. RESULTS: CHW surveillance found an incidence rate of 15.6 neonatal viral infections per 1000 live births with 30% of infections identified on the day of birth. Among neonates with suspected sepsis, a viral etiology was identified in 36% of cases, with enterovirus accounting for two-thirds of those infections. Respiratory syncytial virus was the most common etiologic agent among those with viral pneumonia (91%) and URTI (68%). There was a low incidence (1.2%) of influenza in this rural population. CONCLUSION: Viral infections are commonly associated with acute newborn illness, even in the early neonatal period. The estimated incidence was 5-fold greater than reported previously for bacterial infections. Low-cost preventive measures for neonatal viral infections are urgently needed.

Measuring coverage in MNCH: a prospective validation study in Pakistan and Bangladesh on measuring correct treatment of childhood pneumonia.

BACKGROUND: Antibiotic treatment for pneumonia as measured by Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) is a key indicator for tracking progress in achieving Millennium Development Goal 4. Concerns about the validity of this indicator led us to perform an evaluation in urban and rural settings in Pakistan and Bangladesh. METHODS AND FINDINGS: Caregivers of 950 children under 5 y with pneumonia and 980 with "no pneumonia" were identified in urban and rural settings and allocated for DHS/MICS questions 2 or 4 wk later. Study physicians assigned a diagnosis of pneumonia as reference standard; the predictive ability of DHS/MICS questions and additional measurement tools to identify pneumonia versus non-pneumonia cases was evaluated. Results at both sites showed suboptimal discriminative power, with no difference between 2- or 4-wk recall. Individual patterns of sensitivity and specificity varied substantially across study sites (sensitivity 66.9% and 45.5%, and specificity 68.8% and 69.5%, for DHS in Pakistan and Bangladesh, respectively). Prescribed antibiotics for pneumonia were correctly recalled by about two-thirds of caregivers using DHS questions, increasing to 72% and 82% in Pakistan and Bangladesh, respectively, using a drug chart and detailed enquiry. CONCLUSIONS: Monitoring antibiotic treatment of pneumonia is essential for national and global programs. Current (DHS/MICS questions) and proposed new (video and pneumonia score) methods of identifying pneumonia based on maternal recall discriminate poorly between pneumonia and children with cough. Furthermore, these methods have a low yield to identify children who have true pneumonia. Reported antibiotic treatment rates among these children are therefore not a valid proxy indicator of pneumonia treatment rates. These results have important implications for program monitoring and suggest that data in its current format from DHS/MICS surveys should not be used for the purpose of monitoring antibiotic treatment rates in children with pneumonia at the present time.

Validation of a clinical algorithm to identify neonates with severe illness during routine household visits in rural Bangladesh.

BACKGROUND: To validate a clinical algorithm for community health workers (CHWs) during routine household surveillance for neonatal illness in rural Bangladesh. METHODS: Surveillance was conducted in the intervention arm of a trial of newborn interventions. CHWs assessed 7587 neonates on postnatal days 0, 2, 5 and 8 and identified neonates with very severe disease (VSD) using an 11-sign algorithm. A nested prospective study was conducted to validate the algorithm (n=395). Physicians evaluated neonates to determine whether newborns with VSD needed referral. The authors calculated algorithm sensitivity and specificity in identifying (1) neonates needing referral and (2) mortality during the first 10 days of life. RESULTS: The 11-sign algorithm had sensitivity of 50.0% (95% CI 24.7% to 75.3%) and specificity of 98.4% (96.6% to 99.4%) for identifying neonates needing referral-level care. A simplified 6-sign algorithm had sensitivity of 81.3% (54.4% to 96.0%) and specificity of 96.0% (93.6% to 97.8%) for identifying referral need and sensitivity of 58.0% (45.5% to 69.8%) and specificity of 93.2% (92.5% to 93.7%) for screening mortality. Compared to our 6-sign algorithm, the Young Infant Study 7-sign (YIS7) algorithm with minor modifications had similar sensitivity and specificity. CONCLUSION: Community-based surveillance for neonatal illness by CHWs using a simple 6-sign clinical algorithm is a promising strategy to effectively identify neonates at risk of mortality and needing referral to hospital. The YIS7 algorithm was also validated with high sensitivity and specificity at community level, and is recommended for routine household surveillance for newborn illness. ClinicalTrials.gov no. NCT00198627.

Vulnerability of newborns to environmental factors: findings from community based surveillance data in Bangladesh.

Infection is the major cause of neonatal deaths. Home born newborns in rural Bangladeshi communities are exposed to environmental factors increasing their vulnerability to a number of disease agents that may compromise their health. The current analysis was conducted to assess the association of very severe disease (VSD) in newborns in rural communities with temperature, rainfall, and humidity. A total of 12,836 newborns from rural Sylhet and Mirzapur communities were assessed by trained community health workers using a sign based algorithm. Records of temperature, humidity, and rainfall were collected from the nearest meteorological stations. Associations between VSD and environmental factors were estimated. Incidence of VSD was found to be associated with higher temperatures (odds ratios: 1.14, 95% CI: 1.08 to 1.21 in Sylhet and 1.06, 95% CI: 1.04 to 1.07 in Mirzapur) and heat humidity index (odds ratios: 1.06, 95% CI: 1.04 to 1.08 in Sylhet and, 1.03, 95% CI: 1.01 to 1.04 in Mirzapur). Four months (June-September) in Sylhet, and six months in Mirzapur (April-September) had higher odds ratios of incidence of VSD as compared to the remainder of the year (odds ratios: 1.72, 95% CI: 1.32 to 2.23 in Sylhet and, 1.62, 95% CI: 1.33 to 1.96 in Mirzapur). Prevention of VSD in neonates can be enhanced if these interactions are considered in health intervention strategies.

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.

Evaluation of a cluster-randomized controlled trial of a package of community-based maternal and newborn interventions in Mirzapur, Bangladesh.

BACKGROUND: To evaluate a delivery strategy for newborn interventions in rural Bangladesh. METHODS: A cluster-randomized controlled trial was conducted in Mirzapur, Bangladesh. Twelve unions were randomized to intervention or comparison arm. All women of reproductive age were eligible to participate. In the intervention arm, community health workers identified pregnant women; made two antenatal home visits to promote birth and newborn care preparedness; made four postnatal home visits to negotiate preventive care practices and to assess newborns for illness; and referred sick neonates to a hospital and facilitated compliance. Primary outcome measures were antenatal and immediate newborn care behaviours, knowledge of danger signs, care seeking for neonatal complications, and neonatal mortality. FINDINGS: A total of 4616 and 5241 live births were recorded from 9987 and 11153 participants in the intervention and comparison arm, respectively. High coverage of antenatal (91% visited twice) and postnatal (69% visited on days 0 or 1) home visitations was achieved. Indicators of care practices and knowledge of maternal and neonatal danger signs improved. Adjusted mortality hazard ratio in the intervention arm, compared to the comparison arm, was 1.02 (95% CI: 0.80-1.30) at baseline and 0.87 (95% CI: 0.68-1.12) at endline. Primary causes of death were birth asphyxia (49%) and prematurity (26%). No adverse events associated with interventions were reported. CONCLUSION: Lack of evidence for mortality impact despite high program coverage and quality assurance of implementation, and improvements in targeted newborn care practices suggests the intervention did not adequately address risk factors for mortality. The level and cause-structure of neonatal mortality in the local population must be considered in developing interventions. Programs must ensure skilled care during childbirth, including management of birth asphyxia and prematurity, and curative postnatal care during the first two days of life, in addition to essential newborn care and infection prevention and management. TRIAL REGISTRATION: Clinicaltrials.gov NCT00198627.

Household surveillance of severe neonatal illness by community health workers in Mirzapur, Bangladesh: coverage and compliance with referral.

BACKGROUND: Effective and scalable community-based strategies are needed for identification and management of serious neonatal illness. METHODS: As part of a community-based, cluster-randomized controlled trial of the impact of a package of maternal-neonatal health care, community health workers (CHWs) were trained to conduct household surveillance and to identify and refer sick newborns according to a clinical algorithm. Assessments of newborns by CHWs at home were linked to hospital-based assessments by physicians, and factors impacting referral, referral compliance and outcome were evaluated. RESULTS: Seventy-three per cent (7310/10,006) of live-born neonates enrolled in the study were assessed by CHWs at least once; 54% were assessed within 2 days of birth, but only 15% were attended at delivery. Among assessments for which referral was recommended, compliance was verified in 54% (495/919). Referrals recommended to young neonates 0-6 days old were 30% less likely to be complied with compared to older neonates. Compliance was positively associated with having very severe disease and selected clinical signs, including respiratory rate > or = 70/minute; weak, abnormal or absent cry; lethargic or less than normal movement; and feeding problem. Among 239 neonates who died, only 38% were assessed by a CHW before death. CONCLUSIONS: Despite rigorous programmatic effort, reaching neonates within the first 2 days after birth remained a challenge, and parental compliance with referral recommendation was limited, particularly among young neonates. To optimize potential impact, community postnatal surveillance must be coupled with skilled attendance at delivery, and/or a worker skilled in recognition of neonatal illness must be placed in close proximity to the community to allow for rapid case management to avert early deaths.

Population-based incidence and etiology of community-acquired neonatal bacteremia in Mirzapur, Bangladesh: an observational study.

BACKGROUND: To devise treatment strategies for neonatal infections, the population-level incidence and antibiotic susceptibility of pathogens must be defined. METHODS: Surveillance for suspected neonatal sepsis was conducted in Mirzapur, Bangladesh, from February 2004 through November 2006. Community health workers assessed neonates on postnatal days 0, 2, 5, and 8 and referred sick neonates to a hospital, where blood was collected for culture from neonates with suspected sepsis. We estimated the incidence and pattern of community-acquired neonatal bacteremia and determined the antibiotic susceptibility profile of pathogens. RESULTS: The incidence rate of community-acquired neonatal bacteremia was 3.0 per 1000 person-neonatal periods. Among the 30 pathogens identified, the most common was Staphylococcus aureus (n = 10); half of all isolates were gram positive. Nine were resistant to ampicillin and gentamicin or to ceftiaxone, and 13 were resistant to cotrimoxazole. CONCLUSION: S. aureus was the most common pathogen to cause community-acquired neonatal bacteremia. Nearly 40% of infections were identified on days 0-3, emphasizing the need to address maternal and environmental sources of infection. The combination of parenteral procaine benzyl penicillin and an aminoglycoside is recommended for the first-line treatment of serious community-acquired neonatal infections in rural Bangladesh, which has a moderate level of neonatal mortality. Additional population-based data are needed to further guide national and global strategies.

Validation of community health workers' assessment of neonatal illness in rural Bangladesh.

OBJECTIVE: To estimate the validity (sensitivity, specificity, and positive and negative predictive values) of a clinical algorithm as used by community health workers (CHWs) to detect and classify neonatal illness during routine household visits in rural Bangladesh. METHODS: CHWs evaluated breastfeeding and symptoms and signs of illness in 395 neonates selected randomly from neonatal illness surveillance during household visits on postnatal days 0, 2, 5 and 8. Neonates classified with very severe disease (VSD) were referred to a community-based hospital. Within 12 hours of CHW assessments, physicians independently evaluated all neonates seen in a given day by one CHW, randomly chosen from among 36 project CHWs. Physicians recorded symptoms and signs of illness, classified the illness, and determined whether the newborn needed referral-level care at the hospital. Physicians' identification and classification were used as the gold standard in determining the validity of CHWs' identification of symptoms and signs of illness and its classification. FINDINGS: CHWs' classification of VSD showed a sensitivity of 73%, a specificity of 98%, a positive predictive value of 57% and a negative predictive value of 99%. A maternal report of any feeding problem as ascertained by physician questioning was significantly associated (P < 0.001) with 'not sucking at all' and 'not attached at all' or 'not well attached' as determined clinically by CHWs during feeding assessment. CONCLUSION: CHWs identified with high validity the neonates with severe illness needing referral-level care. Home-based illness recognition and management, including referral of neonates with severe illness by CHWs, is a promising strategy for improving neonatal health and survival in low-resource developing country settings.

Invasive pneumococcal disease among children in rural Bangladesh: results from a population-based surveillance.

BACKGROUND: Streptococcus pneumoniae infection is recognized as a global priority public health problem, and conjugate vaccines have been shown to prevent vaccine-type invasive pneumococcal disease (IPD) in children. However, better estimates of the disease burden and reliable population-based data on serotype composition are needed for vaccine development and implementation in developing countries. METHODS: We initiated a population-based surveillance in the rural Bangladesh community of Mirzapur, covering a population of approximately 144,000. Village health care workers made weekly visits to approximately 12,000 children 1-59 months of age in the study area. Children with reported fever, cough, or difficulty breathing were assessed by the village health care workers using a clinical algorithm and were referred to the hospital if required. Children from the study area who were seen in the hospital underwent clinical examination and laboratory testing if they met standardized case definitions. IPD was confirmed by blood and/or cerebrospinal fluid culture results. Isolates were identified, tested for susceptibility to antibiotics, and serotyped in accordance with standard laboratory methods. We present here the results from the first 3 years of the surveillance (July 2004-June 2007). RESULTS: Village health care workers identified 5020 cases of possible severe pneumonia and/or very severe disease (165 cases per 1000 child-years)and 9411 cases of possible pneumonia (310 cases per 1000 child-years) as well as 2029 cases of suspected meningitis and/or very severe disease (67 cases per 1000 child-years) and 8967 cases of high fever and/or possible bacteremia (295 cases per 1000 child-years). Pneumonia was the single most common form of illness observed among 2596 hospitalizations (found in 977 [38%] of cases). We recovered 26 S. pneumoniae isolates (25 isolates from 6925 blood cultures and 1 isolate from 41 cerebrospinal fluid cultures), which gave an overall IPD incidence of 86 cases per 100,000 child-years. Invasive pneumococcal infection was common during infancy (with infants accounting for 23 of the 26 cases), and 50% of the total isolates were obtained from nonhospitalized patients who received a diagnosis of upper respiratory tract infection and fever. The most prevalent pneumococcal serotypes were serotypes 1, 5, 14, 18C, 19A, and 38. Ten of the 26 isolates were completely resistant to trimethoprim-sulfamethoxazole, and another 10 isolates had intermediate resistance. CONCLUSIONS: IPD contributes substantially to childhood morbidity in rural Bangladesh. S. pneumoniae can cause invasive but nonsevere disease in children, and IPD incidence can be seriously under reported if such cases are overlooked. The emerging high resistance to trimethoprim-sulfamethoxazole should be addressed. Data on serotype distribution would help to guide appropriate pneumococcal conjugate vaccine formulation.

Trends in use of referral hospital services for care of sick newborns in a community-based intervention in Tangail District, Bangladesh.

The Projahnmo-II Project in Mirzapur upazila (sub-district), Tangail district, Bangladesh, is promoting care-seeking for sick newborns through health education of families, identification and referral of sick newborns in the community by community health workers (CHWs), and strengthening of neonatal care in Kumudini Hospital, Mirzapur. Data were drawn from records maintained by the CHWs, referral hospital registers, a baseline household survey of recently-delivered women conducted from March to June 2003, and two interim household surveys in January and September 2005. Increases were observed in self-referral of sick newborns for care, compliance after referral by the CHWs, and care-seeking from qualified providers and from the Kumudini Hospital, and decreases were observed in care-seeking from unqualified providers in the intervention arm. An active surveillance for illness by the CHWs in the home, education of families by them on recognition of danger signs and counselling to seek immediate care for serious illness, and improved linkages between the community and the hospital can produce substantial increases in care-seeking for sick newborns.