Task shifting for point of care ultrasound in primary healthcare in low- and middle-income countries-a systematic review

Low-and middle-income countries (LMIC) are faced with healthcare challenges including lack of specialized healthcare workforce and limited diagnostic infrastructure. Task shifting for point-of-care ultrasound (POCUS) can overcome both shortcomings. This review aimed at identifying benefits and challenges of task shifting for POCUS in primary healthcare settings in LMIC. Medline and Embase were searched up to November 22nd, 2021. Publications reporting original data on POCUS performed by local ultrasound nayve healthcare providers in any medical field at primary healthcare were included. Data were analyzed descriptively. PROSPERO registration number CRD42021223302. Overall, 36 publications were included, most (n = 35) were prospective observational studies. Medical fields of POCUS application included obstetrics, gynecology, emergency medicine, infectious diseases, and cardiac, abdominal, and pulmonary conditions. POCUS was performed by midwives, nurses, clinical officers, physicians, technicians, and community health workers following varying periods of short-term training and using different ultrasound devices. Benefits of POCUS were yields of diagnostic images with adequate interpretation impacting patient management and outcome. High cost of face-to-face training, poor internet connectivity hindering telemedicine components, and unstable electrici'ty were among reported drawbacks for successful implementation of task shifting POCUS. At the primary care level in resource-limited settings task shifting for POCUS has the potential to expand diagnostic imaging capacity and impact patient management leading to meaningful health outcomes.

Automated summary

This review examines the benefits and challenges of task shifting for point-of-care ultrasound (POCUS) in primary healthcare settings in low-and middle-income countries (LMIC). The findings suggest that task shifting for POCUS has the potential to expand diagnostic imaging capacity and improve patient management and outcomes. However, high training costs, poor electricity and internet connectivity remain significant barriers to successful implementation.