Publications by authors named "K D Herbst"

Randomized controlled trials (RCTs) are at the top of the pyramid of evidence as they offer the best answer on the efficacy of a new treatment. RCTs are true experiments in which participants are randomly allocated to receive a certain intervention (experimental group) or a different intervention (comparison group), or no treatment at all (control or placebo group). Randomization, along with other methodological features such as blinding and allocation concealment, safeguard against biases.

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Background: The measurement of cause-specific mortality is critical for health system planning but remains a challenge in many low-resource settings due to societal, legal, and logistical barriers. We present a co-development process with community members for the design and implementation of an autopsy program to improve cause of death data in a historically underserved population.

Methods: We sought to develop an autopsy program at the Africa Health Research Institute (AHRI) Health and Demographic Surveillance Site (HDSS).

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Cognitive decline in Parkinson's disease (PD) varies widely. While models to predict cognitive progression exist, comparing traditional probabilistic models to deep learning methods remains understudied. This study compares sequential modeling techniques to identify cognitive progression in individuals with and without PD.

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Purpose: Dexmedetomidine increases sleep and reduces delirium in postoperative patients, but it is expensive and requires a monitored environment. Clonidine, another 2-agonist, is cheaper and is used safely for other purposes in wards. We assessed whether clonidine would improve sleep in postoperative high-dependency unit (HDU) patients.

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Building longitudinal population cohorts in Africa for coordinated research and surveillance can influence the setting of national health priorities, lead to the introduction of appropriate interventions, and provide evidence for targeted treatment, leading to better health across the continent. However, compared to cohorts from the global north, longitudinal continental African population cohorts remain scarce, are relatively small in size, and lack data complexity. As infections and noncommunicable diseases disproportionately affect Africa's approximately 1.

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