Publications by authors named "J L Ket"

Introduction: Sub-Saharan Africa is facing a severe crisis in human resources for health. Primary healthcare is the most affected. This problem is aggravated by absenteeism, implying that healthcare workers are absent on duty during scheduled working hours.

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Introduction: Personalised prevention using genomic information requires active involvement from patients and the public, who should be well-informed and empowered to make healthcare decisions that reflect their personal values. We aimed to map engagement practises, and assess the extent and types of engagement methods used in the field of personalised prevention of common chronic conditions using genomic information.

Methods: A scoping review on selected literature (in Medline, Embase, Scopus, Web of Science, APA PsycINFO, and IBSS) from 2015 to 2023 was performed.

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Article Synopsis
  • Limited research exists on how mobile health (mHealth) tools used by community health workers (CHWs) affect maternal health services in sub-Saharan Africa (SSA).
  • This review aims to evaluate the effectiveness of mHealth by CHWs in increasing maternal health service usage and to identify factors influencing its use, including both motivations and challenges.
  • The findings indicate that mHealth improved antenatal care (43% of studies), boosted facility-based births (89%), and enhanced postnatal care (75%), with success linked to community support, digital skills, and proper training of CHWs.
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  • Scientists looked at different advanced optical methods to find and diagnose bladder cancer, focusing on how good these methods are at detecting the disease.
  • They found many techniques, like narrow-band imaging and photodynamic diagnosis, and checked a lot of articles to see how effective they were compared to traditional methods.
  • In the end, the techniques generally worked better than older methods, especially narrow-band imaging, which was the best at detecting bladder cancer, while some techniques showed good accuracy for diagnosing it.
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Background And Objectives: Robot technology to support upper limb (UL) rehabilitation poststroke has rapidly developed over the past 3 decades. We aimed to assess the effects of UL-robots (UL-RTs) on recovery of UL motor functioning and capacity poststroke when compared with any non-UL-RT and to identify variables that are associated with the found effect sizes (ESs).

Methods: Randomized controlled trials (RCTs) comparing UL-RTs with any other intervention on patients with UL limitations poststroke were identified in electronic searches from PubMed, Wiley/Cochrane Libraries, Embase, Cumulative Index of Nursing and Allied Health Literature, Web of Science, SportDISCUS, Physiotherapy Evidence Database (PEDro), and Google Scholar from inception until August 1, 2022.

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