Abdullah H. Baqui

Abdullah H. Baqui


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2008 in The Lancet
Verified
Journal Article
Closed access
ABAbdullah H. Baqui
Abdullah H. Baqui
SEShams El-Arifeen
Shams El-Arifeen
GDGary L Darmstadt
Gary L Darmstadt
SASaifuddin Ahmed
Saifuddin Ahmed
EWEmma K Williams
Emma K Williams
RBRobert E. Black
Robert E. Black

9 November 2002 in BMJ
Verified
Journal Article
Open access
PDF file
ABAbdullah H. Baqui
Abdullah H. Baqui
RBRobert E. Black
Robert E. Black
SAShams El Arifeen
Shams El Arifeen
MYMohammad Yunus
Mohammad Yunus
JCJoysnamoy Chakraborty
Joysnamoy Chakraborty
JVJ Patrick Vaughan
J Patrick Vaughan
Objective: To evaluate the effect on morbidity and mortality of providing daily zinc for 14 days to children with diarrhoea. Design: Cluster randomised comparison. Setting: Matlab field site of International Center for Diarrhoeal Disease Research, Bangladesh. Participants: 8070 children aged 3-59 months contributed 11 881 child years of observation during a two year period. Intervention: Children with diarrhoea in the intervention clusters were treated with zinc (20 mg per day for 14 days); all children with diarrhoea were treated with oral rehydration therapy. Main outcome measures: Duration of episode of diarrhoea, incidence of diarrhoea and acute lower respiratory infections, admission to hospital for diarrhoea or acute lower respiratory infections, and child mortality. Results: About 40% (399/1007) of diarrhoeal episodes were treated with zinc in the first four months of the trial; the rate rose to 67% (350/526) in month 5 and to >80% (364/434) in month 7 and was sustained at that level. Children from the intervention cluster received zinc for about seven days on average during each episode of diarrhoea. They had a shorter duration (hazard ratio 0.76, 95% confidence interval 0.65 to 0.90) and lower incidence of diarrhoea (rate ratio 0.85, 0.76 to 0.96) than children in the comparison group. Incidence of acute lower respiratory infection was reduced in the intervention group but not in the comparison group. Admission to hospital of children with diarrhoea was lower in the intervention group than in the comparison group (0.76, 0.59 to 0.98). Admission for acute lower respiratory infection was lower in the intervention group, but this was not statistically significant (0.81, 0.53 to 1.23). The rate of non-injury deaths in the intervention clusters was considerably lower (0.49, 0.25 to 0.94). Conclusions: The lower rates of child morbidity and mortality with zinc treatment represent substantial benefits from a simple and inexpensive intervention that can be incorporated in existing efforts to control diarrhoeal disease. What is already known on this topic: Zinc deficiency is highly prevalent in children in developing countries Zinc supplements given during diarrhoea reduce the duration and severity of treated episodes If given for 14 days during and after diarrhoea, zinc reduces the incidence of diarrhoea and pneumonia in the subsequent two to three months What this study adds: Zinc used as a treatment for diarrhoea reduces mortality in children Zinc reduces admissions to hospital for diarrhoea The impact of zinc on mortality and morbidity can be achieved in a realistic large scale public health programme

4 August 2011 in Population Health Metrics
Verified
Journal Article
Open access
PDF file
CMChristopher Jl Murray
Christopher Jl Murray
ALAlan D Lopez
Alan D Lopez
RBRobert E. Black
Robert E. Black
RARamesh Ahuja
Ramesh Ahuja
SASaid Mohd Ali
Said Mohd Ali
VTVeronica Tallo
Veronica Tallo
Verbal autopsy methods are critically important for evaluating the leading causes of death in populations without adequate vital registration systems. With a myriad of analytical and data collection approaches, it is essential to create a high quality validation dataset from different populations to evaluate comparative method performance and make recommendations for future verbal autopsy implementation. This study was undertaken to compile a set of strictly defined gold standard deaths for which verbal autopsies were collected to validate the accuracy of different methods of verbal autopsy cause of death assignment. Data collection was implemented in six sites in four countries: Andhra Pradesh, India; Bohol, Philippines; Dar es Salaam, Tanzania; Mexico City, Mexico; Pemba Island, Tanzania; and Uttar Pradesh, India. The Population Health Metrics Research Consortium (PHMRC) developed stringent diagnostic criteria including laboratory, pathology, and medical imaging findings to identify gold standard deaths in health facilities as well as an enhanced verbal autopsy instrument based on World Health Organization (WHO) standards. A cause list was constructed based on the WHO Global Burden of Disease estimates of the leading causes of death, potential to identify unique signs and symptoms, and the likely existence of sufficient medical technology to ascertain gold standard cases. Blinded verbal autopsies were collected on all gold standard deaths. Over 12,000 verbal autopsies on deaths with gold standard diagnoses were collected (7,836 adults, 2,075 children, 1,629 neonates, and 1,002 stillbirths). Difficulties in finding sufficient cases to meet gold standard criteria as well as problems with misclassification for certain causes meant that the target list of causes for analysis was reduced to 34 for adults, 21 for children, and 10 for neonates, excluding stillbirths. To ensure strict independence for the validation of methods and assessment of comparative performance, 500 test-train datasets were created from the universe of cases, covering a range of cause-specific compositions. This unique, robust validation dataset will allow scholars to evaluate the performance of different verbal autopsy analytic methods as well as instrument design. This dataset can be used to inform the implementation of verbal autopsies to more reliably ascertain cause of death in national health information systems.

9 January 2014 in BMC Medicine
Verified
Journal Article
Open access
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CMChristopher Jl Murray
Christopher Jl Murray
RLRafael Lozano
Rafael Lozano
AFAbraham D Flaxman
Abraham D Flaxman
PSPeter Serina
Peter Serina
DPDavid Phillips
David Phillips
ALAlan D Lopez
Alan D Lopez
Monitoring progress with disease and injury reduction in many populations will require widespread use of verbal autopsy (VA). Multiple methods have been developed for assigning cause of death from a VA but their application is restricted by uncertainty about their reliability. We investigated the validity of five automated VA methods for assigning cause of death: InterVA-4, Random Forest (RF), Simplified Symptom Pattern (SSP), Tariff method (Tariff), and King-Lu (KL), in addition to physician review of VA forms (PCVA), based on 12,535 cases from diverse populations for which the true cause of death had been reliably established. For adults, children, neonates and stillbirths, performance was assessed separately for individuals using sensitivity, specificity, Kappa, and chance-corrected concordance (CCC) and for populations using cause specific mortality fraction (CSMF) accuracy, with and without additional diagnostic information from prior contact with health services. A total of 500 train-test splits were used to ensure that results are robust to variation in the underlying cause of death distribution. Three automated diagnostic methods, Tariff, SSP, and RF, but not InterVA-4, performed better than physician review in all age groups, study sites, and for the majority of causes of death studied. For adults, CSMF accuracy ranged from 0.764 to 0.770, compared with 0.680 for PCVA and 0.625 for InterVA; CCC varied from 49.2% to 54.1%, compared with 42.2% for PCVA, and 23.8% for InterVA. For children, CSMF accuracy was 0.783 for Tariff, 0.678 for PCVA, and 0.520 for InterVA; CCC was 52.5% for Tariff, 44.5% for PCVA, and 30.3% for InterVA. For neonates, CSMF accuracy was 0.817 for Tariff, 0.719 for PCVA, and 0.629 for InterVA; CCC varied from 47.3% to 50.3% for the three automated methods, 29.3% for PCVA, and 19.4% for InterVA. The method with the highest sensitivity for a specific cause varied by cause. Physician review of verbal autopsy questionnaires is less accurate than automated methods in determining both individual and population causes of death. Overall, Tariff performs as well or better than other methods and should be widely applied in routine mortality surveillance systems with poor cause of death certification practices.

1 September 2006
Verified
Journal Article
Closed access
ABAbdullah H. Baqui
Abdullah H. Baqui
GDG L Darmstadt
G L Darmstadt
EWE K Williams
E K Williams
VKV Kumar
V Kumar
TKT U Kiran
T U Kiran
MSM Santosham
M Santosham
To assess the rates, timing and causes of neonatal deaths and the burden of stillbirths in rural Uttar Pradesh, India. We discuss the implications of our findings for neonatal interventions. We used verbal autopsy interviews to investigate 1048 neonatal deaths and stillbirths. There were 430 stillbirths reported, comprising 41% of all deaths in the sample. Of the 618 live births, 32% deaths were on the day of birth, 50% occurred during the first 3 days of life and 71% were during the first week. The primary causes of death on the first day of life (i.e. day 0) were birth asphyxia or injury (31%) and preterm birth (26%). During days 1-6, the most frequent causes of death were preterm birth (30%) and sepsis or pneumonia (25%). Half of all deaths caused by sepsis or pneumonia occurred during the first week of life. The proportion of deaths attributed to sepsis or pneumonia increased to 45% and 36% during days 7-13 and 14-27, respectively. Stillbirths and deaths on the day of birth represent a large proportion of perinatal and neonatal deaths, highlighting an urgent need to improve coverage with skilled birth attendants and to ensure access to emergency obstetric care. Health interventions to improve essential neonatal care and care-seeking behavior are also needed, particularly for preterm neonates in the early postnatal period.

3 May 2010 in Human Resources for Health
Verified
Journal Article
Open access
PDF file
SRSyed Moshfiqur Rahman
Syed Moshfiqur Rahman
NANabeel Ashraf Ali
Nabeel Ashraf Ali
LJLarissa Jennings
Larissa Jennings
MSM Habibur R Seraji
M Habibur R Seraji
IMIshtiaq Mannan
Ishtiaq Mannan
PWPeter Winch
Peter Winch
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.