Assessment, outcomes and implications of multiple anthropometric deficits in children.

BACKGROUND: Malnutrition in children is widely prevalent around the world. It has been observed that malnourished children with multiple anthropometric deficits have higher mortality. However, adequate studies are not available on the outcome and recovery of these children.Nandurbar, a tribal district from Maharashtra, India, shows high prevalence of all three forms of malnutrition, often occurring simultaneously. A project previously undertaken in Nandurbar from July 2014 to June 2016 studied the effect of various therapeutic feeds in treatment of children with uncomplicated severe acute malnutrition (SAM). In this study, we analyse secondary data from it to correlate effects of stunting, wasting and underweight on treatment recovery. METHODS: Analysis was done on 5979 children with SAM using linear and logistic regression on R software for recovery rates and weight gain in children with SAM with single versus multiple anthropometric deficits, their relation to age, sex, and recovery from severe stunting by gain in height. RESULTS: The mean age of children was 35 months and 53.1% of the children were males. 2346 (39.2%) children recovered at the end of the 8-week treatment. 454 (7.6%) had single anthropometric deficit (SAM only), 3164 (52.9%) had two anthropometric deficits (SAM and severe underweight (SUW)) and 2355 (39.4%) children had three anthropometric deficits (SAM, SUW and severe stunting). Out of the 5979 children with SAM, only 52 (0.9%) of children were not underweight (severe or moderate).44.94% of children with SAM who were severely stunted recovered, compared with 35.52% of children who were not (p<0.001). After controlling for confounders, severe stunting was found to increase the odds of recovery by 1.49. Severely stunted children with SAM also showed faster recovery and weight gain by 1.93 days (p<0.012) and 0.29 g/kg/day (p<0.001), respectively. Recovery was higher in females and younger age group. Recovery was also found to depend on the therapeutic feed, with children receiving medical nutrition therapy showing better recovery for severely stunted children. CONCLUSION: Our findings corroborate previous literature that stunting is a way for the body to deal with chronic stress of nutritional deprivation and provides a survival advantage to a child.

Facility Delivery, Postnatal Care and Neonatal Deaths in India: Nationally-Representative Case-Control Studies.

OBJECTIVE: Clinical studies demonstrate the efficacy of interventions to reduce neonatal deaths, but there are fewer studies of their real-life effectiveness. In India, women often seek facility delivery after complications arise, rather than to avoid complications. Our objective was to quantify the association of facility delivery and postnatal checkups with neonatal mortality while examining the "reverse causality" in which the mothers deliver at a health facility due to adverse perinatal events. METHODS: We conducted nationally representative case-control studies of about 300,000 live births and 4,000 neonatal deaths to examine the effect of, place of delivery and postnatal checkup on neonatal mortality. We compared neonatal deaths to all live births and to a subset of live births reporting excessive bleeding or obstructed labour that were more comparable to cases in seeking care. FINDINGS: In the larger study of 2004-8 births, facility delivery without postnatal checkup was associated with an increased odds of neonatal death (Odds ratio = 2.5; 99% CI 2.2-2.9), especially for early versus late neonatal deaths. However, use of more comparable controls showed marked attenuation (Odds ratio = 0.5; 0.4-0.5). Facility delivery with postnatal checkup was associated with reduced odds of neonatal death. Excess risks were attenuated in the earlier study of 2001-4 births. CONCLUSION: The combined effect of facility deliveries with postnatal checks ups is substantially higher than just facility delivery alone. Evaluation of the real-life effectiveness of interventions to reduce child and maternal deaths need to consider reverse causality. If these associations are causal, facility delivery with postnatal check up could avoid about 1/3 of all neonatal deaths in India (~100,000/year).

Deaths from acute abdominal conditions and geographical access to surgical care in India: a nationally representative spatial analysis.

BACKGROUND: Few population-based studies quantify mortality from surgical conditions and relate mortality to access to surgical care in low-income and middle-income countries. METHODS: We linked deaths from acute abdominal conditions within a nationally representative, population-based mortality survey of 1·1 million households in India to nationally representative facility data. We calculated total and age-standardised death rates for acute abdominal conditions. Using 4064 postal codes, we undertook a spatial clustering analysis to compare geographical access to well-resourced government district hospitals (24 h surgical and anaesthesia services, blood bank, critical care beds, basic laboratory, and radiology) in high-mortality or low-mortality clusters from acute abdominal conditions. FINDINGS: 923 (1·1%) of 86,806 study deaths at ages 0-69 years were identified as deaths from acute abdominal conditions, corresponding to 72,000 deaths nationally in 2010 in India. Most deaths occurred at home (71%) and in rural areas (87%). Compared with 567 low-mortality geographical clusters, the 393 high-mortality clusters had a nine times higher age-standardised acute abdominal mortality rate and significantly greater distance to a well-resourced hospital. The odds ratio (OR) of being a high-mortality cluster was 4·4 (99% CI 3·2-6·0) for living 50 km or more from well-resourced district hospitals (rising to an OR of 16·1 [95% CI 7·9-32·8] for >100 km). No such relation was seen for deaths from non-acute surgical conditions (ie, oral, breast, and uterine cancer). INTERPRETATION: Improvements in human and physical resources at existing government hospitals are needed to reduce deaths from acute abdominal conditions in India. Full access to well-resourced hospitals within 50 km by all of India's population could have avoided about 50,000 deaths from acute abdominal conditions, and probably more from other emergency surgical conditions. FUNDING: Bill & Melinda Gates Foundation, Dalla Lana School of Public Health, Canadian Institute of Health Research.

Deaths from acute abdominal conditions and geographic access to surgical care in India: a nationally representative population-based spatial analysis.

BACKGROUND: Acute abdominal conditions have high case-fatality rates in the absence of timely surgical care. In India, and many other low-income and middle-income countries, few population-based studies have quantified mortality from surgical conditions and related mortality to access to surgical care. We aimed to describe the spatial and socioeconomic distributions of deaths from acute abdomen (DAA) in India and to quantify potential access to surgical facilities in relation to such deaths. METHODS: We examined deaths from acute abdominal conditions within a nationally representative, population-based mortality survey of 1·1 million Indian households and linked these to nationally representative facility data. Spatial clustering of deaths from acute abdominal conditions was calculated with the Getis-Ord Gi* statistic from about 4000 postal codes. We compared high or low acute abdominal mortality clusters for their geographic access to well-resourced surgical care (24 h surgical and anaesthesia services, blood bank, critical care beds, basic laboratory, and radiology). FINDINGS: 923 (1·1%) of 86 806 study deaths in those aged 0-69 years were identified as deaths from acute abdominal conditions, corresponding to an estimated 72 000 deaths nationally in India in 2010. Most deaths occurred at home (71%), in rural areas (87%), and were caused by peptic ulcer disease (79%). There was wide variation in rates of deaths from acute abdominal conditions. We identified 393 high-mortality geographic clusters and 567 low-mortality clusters. High-mortality clusters of acute abdominal conditions were located significantly further from well-resourced hospitals than were low-mortality clusters. The odds ratio of a postal code area being a high-mortality cluster was 4·4 (99% CI 3·2-6·0) for living 50 km or more from well-resourced district hospitals (rising to an OR of 16·1 for >100 km), after adjustment for socioeconomic status and caste. INTERPRETATION: Improvements in human and physical resources at existing public hospitals are required to reduce deaths from acute abdominal conditions in India. Had all of the Indian population had access to well-resourced hospitals within 50 km, more than 50 000 deaths from acute abdominal conditions could have been averted in 2010, and likely more from other emergency surgical conditions. Our geocoded facility data were limited to public district hospitals. However, noting the high rate of catastrophic health expenditures in India, we chose to focus on publicly provided services which are the only option usually available to the poor. FUNDING: The Bill & Melinda Gates Foundation, Dalla Lana School of Public Health, and Canadian Institute of Health Research.

Performance criteria for verbal autopsy-based systems to estimate national causes of death: development and application to the Indian Million Death Study.

BACKGROUND: Verbal autopsy (VA) has been proposed to determine the cause of death (COD) distributions in settings where most deaths occur without medical attention or certification. We develop performance criteria for VA-based COD systems and apply these to the Registrar General of India's ongoing, nationally-representative Indian Million Death Study (MDS). METHODS: Performance criteria include a low ill-defined proportion of deaths before old age; reproducibility, including consistency of COD distributions with independent resampling; differences in COD distribution of hospital, home, urban or rural deaths; age-, sex- and time-specific plausibility of specific diseases; stability and repeatability of dual physician coding; and the ability of the mortality classification system to capture a wide range of conditions. RESULTS: The introduction of the MDS in India reduced the proportion of ill-defined deaths before age 70 years from 13% to 4%. The cause-specific mortality fractions (CSMFs) at ages 5 to 69 years for independently resampled deaths and the MDS were very similar across 19 disease categories. By contrast, CSMFs at these ages differed between hospital and home deaths and between urban and rural deaths. Thus, reliance mostly on urban or hospital data can distort national estimates of CODs. Age-, sex- and time-specific patterns for various diseases were plausible. Initial physician agreement on COD occurred about two-thirds of the time. The MDS COD classification system was able to capture more eligible records than alternative classification systems. By these metrics, the Indian MDS performs well for deaths prior to age 70 years. The key implication for low- and middle-income countries where medical certification of death remains uncommon is to implement COD surveys that randomly sample all deaths, use simple but high-quality field work with built-in resampling, and use electronic rather than paper systems to expedite field work and coding. CONCLUSIONS: Simple criteria can evaluate the performance of VA-based COD systems. Despite the misclassification of VA, the MDS demonstrates that national surveys of CODs using VA are an order of magnitude better than the limited COD data previously available.

Factors associated with physician agreement and coding choices of cause of death using verbal autopsies for 1130 maternal deaths in India.

BACKGROUND: The Indian Sample Registration System (SRS) with verbal autopsy methods provides estimations of cause specific mortality for maternal deaths, where the majority of deaths occur at home, unregistered. We aim to examine factors that influence physician agreement and coding choices in assigning causes of death from verbal autopsies. METHODOLOGY/PRINCIPAL FINDINGS: Among adult deaths identified in the SRS, pregnancy-related deaths recorded in 2001-2003 were assigned ICD-10 codes by two independent physicians. Inter-rater reliability was estimated using Landis Koch Kappa classification ≤0.4--poor to fair agreement; >0.4 ≤0.6--moderate agreement; >0.6 ≤0.8--substantial agreement; >8--high agreement. We identified factors associated with physician agreement using multivariate logistic regression. A central consensus panel reviewed cases for errors and reclassified as needed based on 2011 ICD-10 coding guidelines. Of 1130 pregnancy-related deaths, 1040 were assigned ICD-10 codes by two physicians. We found substantial agreement regardless of the woman's residence, whether the death was registered, religion, respondent's or deceased's education, age, hospital admission or gestational age. Physician agreement was not influenced by the above variables, with the exception of greater agreement in cases where the respondent did not live with the deceased, or early gestational age at the time of death. A central consensus panel reviewed all cases and recoded 10% of cases due to insufficient use of information in the verbal autopsy by the coding physicians and rationale for this reclassification are discussed. CONCLUSION: In the absence of complete vital registration and universal healthcare services, physician coded verbal autopsies continues to be heavily relied upon to ascertain pregnancy-related death. From this study, two independent physicians had good inter-rater reliability for assigning pregnancy-related causes of death in a nationally-represented sample, and physician coding does not appear to be heavily influenced by case characteristics or demographics.

Snakebite mortality in India: a nationally representative mortality survey.

BACKGROUND: India has long been thought to have more snakebites than any other country. However, inadequate hospital-based reporting has resulted in estimates of total annual snakebite mortality ranging widely from about 1,300 to 50,000. We calculated direct estimates of snakebite mortality from a national mortality survey. METHODS AND FINDINGS: We conducted a nationally representative study of 123,000 deaths from 6,671 randomly selected areas in 2001-03. Full-time, non-medical field workers interviewed living respondents about all deaths. The underlying causes were independently coded by two of 130 trained physicians. Discrepancies were resolved by anonymous reconciliation or, failing that, by adjudication. A total of 562 deaths (0.47% of total deaths) were assigned to snakebites. Snakebite deaths occurred mostly in rural areas (97%), were more common in males (59%) than females (41%), and peaked at ages 15-29 years (25%) and during the monsoon months of June to September. This proportion represents about 45,900 annual snakebite deaths nationally (99% CI 40,900 to 50,900) or an annual age-standardised rate of 4.1/100,000 (99% CI 3.6-4.5), with higher rates in rural areas (5.4/100,000; 99% CI 4.8-6.0), and with the highest state rate in Andhra Pradesh (6.2). Annual snakebite deaths were greatest in the states of Uttar Pradesh (8,700), Andhra Pradesh (5,200), and Bihar (4,500). CONCLUSIONS: Snakebite remains an underestimated cause of accidental death in modern India. Because a large proportion of global totals of snakebites arise from India, global snakebite totals might also be underestimated. Community education, appropriate training of medical staff and better distribution of antivenom, especially to the 13 states with the highest prevalence, could reduce snakebite deaths in India.

Capturing the context of maternal deaths from verbal autopsies: a reliability study of the maternal data extraction tool (M-DET).

BACKGROUND: The availability of quality data to inform policy is essential to reduce maternal deaths. To characterize maternal deaths in settings without complete vital registration systems, we designed and assessed the inter-rater reliability of a tool to systematically extract data and characterize the events that precede a nationally representative sample of maternal deaths in India. METHOD/PRINCIPAL FINDINGS: Of 1017 nationally representative pregnancy-related deaths, which occurred between 2001 and 2003, we randomly selected 105 reports. Two independent coders used the maternal data extraction tool (questions with coding guidelines) to collect information on antenatal care access, final pregnancy outcome; planned place of birth and care provider; community consultation, transport, admission, hospital referral; and verification of cause of death assignment. Kappa estimated inter-rater agreement was calculated and classified as poor (K≤0.4), moderate (K = 0.4≤0.6), substantial (K = 0.6≤ 0.8) and high (K>0.8) using the criteria from Landis & Koch. The data extraction tool had high agreement for gestational age, pregnancy outcome, transport, death en route and admission to hospital; substantial agreement for receipt of antenatal care, planned place of birth, readmission and referral to higher level hospital, and whether or not death occurred in the intrapartum period; moderate to substantial agreement for classification of deaths as direct or indirect obstetric deaths or incidental deaths; moderate agreement for classification of community healthcare consultation and total number of healthcare contacts; and poor agreement for the classification of deaths as sudden deaths and other/unknown cause of death. The ability of the tool to identify the most-responsible-person in labour varied from moderate agreement to high agreement. CONCLUSIONS: This data extraction tool achieved good inter-rater reliability and can be used to collect data on events surrounding maternal deaths and for verification/improvement of underlying cause of death.

Adult and child malaria mortality in India: a nationally representative mortality survey.

BACKGROUND: National malaria death rates are difficult to assess because reliably diagnosed malaria is likely to be cured, and deaths in the community from undiagnosed malaria could be misattributed in retrospective enquiries to other febrile causes of death, or vice-versa. We aimed to estimate plausible ranges of malaria mortality in India, the most populous country where the disease remains common. METHODS: Full-time non-medical field workers interviewed families or other respondents about each of 122,000 deaths during 2001-03 in 6671 randomly selected areas of India, obtaining a half-page narrative plus answers to specific questions about the severity and course of any fevers. Each field report was sent to two of 130 trained physicians, who independently coded underlying causes, with discrepancies resolved either via anonymous reconciliation or adjudication. FINDINGS: Of all coded deaths at ages 1 month to 70 years, 2681 (3·6%) of 75,342 were attributed to malaria. Of these, 2419 (90%) were in rural areas and 2311 (86%) were not in any health-care facility. Death rates attributed to malaria correlated geographically with local malaria transmission ratesderived independently from the Indian malaria control programme. The adjudicated results show 205,000 malaria deaths per year in India before age 70 years (55,000 in early childhood, 30,000 at ages 5-14 years, 120,000 at ages 15-69 years); 1·8% cumulative probability of death from malaria before age 70 years. Plausible lower and upper bounds (on the basis of only the initial coding) were 125,000-277,000. Malaria accounted for a substantial minority of about 1·3 million unattended rural fever deaths attributed to infectious diseases in people younger than 70 years. INTERPRETATION: Despite uncertainty as to which unattended febrile deaths are from malaria, even the lower bound greatly exceeds the WHO estimate of only 15,000 malaria deaths per year in India (5000 early childhood, 10 000 thereafter). This low estimate should be reconsidered, as should the low WHO estimate of adult malaria deaths worldwide. FUNDING: US National Institutes of Health, Canadian Institute of Health Research, Li Ka Shing Knowledge Institute.

The Summary Index of Malaria Surveillance (SIMS): a stable index of malaria within India.

BACKGROUND: Malaria in India has been difficult to measure. Mortality and morbidity are not comprehensively reported, impeding efforts to track changes in disease burden. However, a set of blood measures has been collected regularly by the National Malaria Control Program in most districts since 1958. METHODS: Here, we use principal components analysis to combine these measures into a single index, the Summary Index of Malaria Surveillance (SIMS), and then test its temporal and geographic stability using subsets of the data. RESULTS: The SIMS correlates positively with all its individual components and with external measures of mortality and morbidity. It is highly consistent and stable over time (1995-2005) and regions of India. It includes measures of both vivax and falciparum malaria, with vivax dominant at lower transmission levels and falciparum dominant at higher transmission levels, perhaps due to ecological specialization of the species. CONCLUSIONS: This measure should provide a useful tool for researchers looking to summarize geographic or temporal trends in malaria in India, and can be readily applied by administrators with no mathematical or scientific background. We include a spreadsheet that allows simple calculation of the index for researchers and local administrators. Similar principles are likely applicable worldwide, though further validation is needed before using the SIMS outside India.

Gender inequity and age-appropriate immunization coverage in India from 1992 to 2006.

BACKGROUND: A variety of studies have considered the affects of India's son preference on gender differences in child mortality, sex ratio at birth, and access to health services. Less research has focused on the affects of son preference on gender inequities in immunization coverage and how this may have varied with time, and across regions and with sibling compositions. We present a systematic examination of trends in immunization coverage in India, with a focus on inequities in coverage by gender, birth order, year of birth, and state. METHODS: We analyzed data from three consecutive rounds of the Indian National Family Health Survey undertaken between 1992 and 2006. All children below five years of age with complete immunization histories were included in the analysis. Age-appropriate immunization coverage was determined for the following antigens: bacille Calmette-Guérin (BCG), oral polio (OPV), diphtheria, pertussis (whooping cough) and tetanus (DPT), and measles. RESULTS: Immunization coverage in India has increased since the early 1990s, but complete, age-appropriate coverage is still under 50% nationally. Girls were found to have significantly lower immunization coverage (p<0.001) than boys for BCG, DPT, and measles across all three surveys. By contrast, improved coverage of OPV suggests a narrowing of the gender differences in recent years. Girls with a surviving older sister were less likely to be immunized compared to boys, and a large proportion of all children were found to be immunized considerably later than recommended. CONCLUSIONS: Gender inequities in immunization coverage are prevalent in India. The low immunization coverage, the late immunization trends and the gender differences in coverage identified in our study suggest that risks of child mortality, especially for girls at higher birth orders, need to be addressed both socially and programmatically. ABSTRACT IN HINDI : See the full article online for a translation of this abstract in Hindi.

Developing clinical indicators for the secondary health system in India.

QUALITY PROBLEM OR ISSUE: One of the prime goals of any health system is to deliver good and competent quality of healthcare. Through World Bank-assisted Maharashtra Health Systems Development Project, Government of Maharashtra in India developed and implemented clinical indicators to improve quality. INITIAL ASSESSMENT: During this, clinical areas eligible for monitoring quality of care and roles of health staff working at various levels were identified. CHOICE OF SOLUTION: Brainstorming discussion sessions were conducted to refine list of potential clinical indicators and to identify implementation problems. IMPLEMENTATION: It was implemented in four stages. (a) Self-explanatory tool of record, standard operating procedures and training manual were prepared during tools preparation stage. (b) Pilot implementation was done to monitor the usefulness of indicators, document the experiences and standardize the system accordingly. (c) The final selection of indicators was done taking into consideration points like data reliability, indicator usefulness etc. For final implementation, 15 indicators for district and 6 indicators for rural hospitals were selected. (d) Transfer of skills was done through training of various hospital functionaries. EVALUATION AND LESSONS LEARNED: Selection and prioritization of clinical indicators is the most crucial part. Active participation of local employees is essential for sustainability of the scheme. It is also important to ensure that data recorded/reported is both reliable and valid, to conduct monthly review of the scheme at various levels and to link it with the quality improvement programme.