Lady health workers (LHWs) provide lifesaving maternal and child health services to >60% of Pakistan's population but are poorly compensated and overburdened. Moreover, LHWs' training does not incorporate efforts to nurture attributes necessary for equitable and holistic healthcare delivery. We developed an interdisciplinary humanities curriculum, deriving its strengths from local art and literature, to enhance character virtues such as empathy and connection, interpersonal communication skills, compassion and purpose among LHWs.
View Article and Find Full Text PDFBackground: Gaps in information access impede immunization uptake, especially in low-resource settings where cutting-edge and innovative digital interventions are limited given the digital inequity. Our objective was to develop an Artificially Intelligent (AI) chatbot to respond to caregiver's immunization-related queries in Pakistan and investigate its feasibility and acceptability in a low-resource, low-literacy setting.
Methods: We developed Bablibot (Babybot), a local language immunization chatbot, using Natural Language Processing (NLP) and Machine Learning (ML) technologies with Human in the Loop feature.
Auto-disable (AD) syringes are specifically designed to prevent syringe reuse. However, the notion that specific AD syringe designs may be unsafe due to reuse concerns related to the syringe's activation point has surfaced. We conducted a systematic review for evidence on the association between AD syringe design and syringe reuse, adverse events following immunization (AEFI), or blood borne virus (BBV) transmission.
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