Search Results - "Hasan, Babar"

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    Neurodevelopment assessment of small for gestational age children in a community-based cohort from Pakistan by Naz, Sabahat, Hoodbhoy, Zahra, Jaffar, Ali, Kaleem, Sidra, Hasan, Babar S, Chowdhury, Devyani, Gladstone, Melissa

    Published in Archives of disease in childhood (01-04-2023)
    “…BackgroundChildren born small for gestational age (SGA) may experience more long-term neurodevelopmental issues than those born appropriate for gestational age…”
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    Journal Article
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    Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan by Rasheed, Muneera A, Chand, Prem, Ahmed, Saad, Sharif, Hamza, Hoodbhoy, Zahra, Siddiqui, Ayat, Hasan, Babar S

    Published in PloS one (08-02-2021)
    “…Universal primary education is critical for individual academic growth and overall adult productivity of nations. Estimates indicate that 25% of 59 million…”
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    Implementation evaluation of a leadership development intervention for improved family experience in a private paediatric care hospital, Pakistan by Rasheed, Muneera A, Hussain, Ayesha, Hashwani, Amin, Kedzierski, Johannes T, Hasan, Babar S

    Published in BMC health services research (23-07-2022)
    “…Abstract Background A study from a tertiary care center in Pakistan demonstrated that a leadership development intervention led to improved family experience…”
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    Community-based interventions for improving perinatal and neonatal Health outcomes in developing countries: A review of the evidence by BHUTTA, Zulfiqar A, DARMSTADT, Gary L, HASAN, Babar S, HAWS, Rachel A

    Published in Pediatrics (Evanston) (01-02-2005)
    “…Infant and under-5 childhood mortality rates in developing countries have declined significantly in the past 2 to 3 decades. However, 2 critical indicators,…”
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    Development of an on-job mentorship programme to improve nursing experience for enhanced patient experience of compassionate care by Hookmani, Alma Arshad, Lalani, Naureen, Sultan, Noureen, Zubairi, Aly, Hussain, Ayesha, Hasan, Babar S, Rasheed, Muneera A

    Published in BMC nursing (18-09-2021)
    “…Abstract Background Evidence suggests improvement in nursing staff satisfaction, competence, and retention after implementation of evidence-based mentorship…”
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    Human-centred mentorship in global health research: are we ready to give what it takes? by Rasheed, Muneera A, Hasan, Babar S

    Published in BMJ global health (01-02-2023)
    “…Correspondence to Muneera A Rasheed; muneera.rasheed21@gmail.com Summary box Human-centred mentoring has been suggested as a sustainable strategy to nurture…”
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    Journal Article
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    Do parental stimulation practices modify the effect of child's health status on early developmental risk? Findings from a hospitalized cohort by Rasheed, Muneera A., Mughis, Waliyah, Niaz, Maira, Hasan, Babar S.

    Published in Early child development and care (10-09-2022)
    “…The current study conducted in Pakistan aimed to test if parental stimulation practices modify the effect of general child health status on early developmental…”
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    Health-related quality of life in congenital heart disease surgery in children and young adults: a systematic review and meta-analysis by Ladak, Laila Akbar, Hasan, Babar Sultan, Gullick, Janice, Gallagher, Robyn

    Published in Archives of disease in childhood (01-04-2019)
    “…BackgroundAs survival improves in the congenital heart disease (CHD) population, health-related quality of life (HRQOL) outcomes become increasingly important…”
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    Ruptured saphenous venous graft pseudoaneurysm presenting as a pulsatile chest mass by Rahman, Muhammad Nasir, Khan, Bilal K., Hasan, Babar S.

    “…A 72‐year‐old man with prior history of coronary artery bypass grafting and sternal wire infection presented with non‐ST‐segment elevation myocardial…”
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    Establishment of a thalassaemia major quality improvement collaborative in Pakistan by Hoodbhoy, Zahra, Ehsan, Lubaina, Alvi, Najveen, Sajjad, Fatimah, Asghar, Aleezay, Nadeem, Omair, Qidwai, Asim, Hussain, Shabneez, Hasan, Erum, Altaf, Sadaf, Kirmani, Salman, Hasan, Babar S

    Published in Archives of disease in childhood (01-05-2020)
    “…ObjectivesThe aim of this study was to establish multidisciplinary care for patients with transfusion-dependent thalassaemia (TDT) by creating a TDT quality…”
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    Generating Evidence From Contextual Clinical Research in Low- to Middle Income Countries: A Roadmap Based on Theory of Change by Hasan, Babar S, Rasheed, Muneera A, Wahid, Asra, Kumar, Raman Krishna, Zuhlke, Liesl

    Published in Frontiers in pediatrics (09-12-2021)
    “…Along with inadequate access to high-quality care, competing health priorities, fragile health systems, and conflicts, there is an associated delay in evidence…”
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    Detection of subclinical rheumatic heart disease in children using a deep learning algorithm on digital stethoscope: a study protocol by Ali, Fatima, Hasan, Babar, Ahmad, Huzaifa, Hoodbhoy, Zahra, Bhuriwala, Zainab, Hanif, Muhammad, Ansari, Shahab U, Chowdhury, Devyani

    Published in BMJ open (05-08-2021)
    “…IntroductionRheumatic heart diseases (RHDs) contribute significant morbidity and mortality globally. To reduce the burden of RHD, timely initiation of…”
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    Can machine learning methods be used for identification of at-risk neonates in low-resource settings? A prospective cohort study by Hasan, Babar S, Hoodbhoy, Zahra, Khan, Amna, Nogueira, Mariana, Bijnens, Bart, Chowdhury, Devyani

    Published in BMJ paediatrics open (01-11-2023)
    “…IntroductionTimely identification of at-risk neonates (ARNs) in the community is essential to reduce mortality in low-resource settings. Tools such as American…”
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    Diagnostic Accuracy of Machine Learning Models to Identify Congenital Heart Disease: A Meta-Analysis by Hoodbhoy, Zahra, Jiwani, Uswa, Sattar, Saima, Salam, Rehana, Hasan, Babar, Das, Jai K.

    Published in Frontiers in artificial intelligence (08-07-2021)
    “…Background: With the dearth of trained care providers to diagnose congenital heart disease (CHD) and a surge in machine learning (ML) models, this review aims…”
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