Machine learning reveals unique mental health struggles among healthcare workers during the COVID-19 pandemic, highlighting the urgent need for specialized support. The study analyzed therapy transcripts to show how healthcare professionals faced distinct challenges, including heightened anxiety and depression.
By Priyanjana Pramanik, MSc.Oct 29 2023Reviewed by Sophia Coveney In a study published in JMIR AI, researchers assessed anxiety and depression faced by healthcare workers in the United States during the coronavirus disease 2019 pandemic.
HCWs suffering from depression and anxiety are more likely to commit errors, inadvertently jeopardizing patient safety. Improving their well-being is vital to strengthening the healthcare system as a whole. Related StoriesThey received therapy through an initiative to provide free treatment to HCWs for one month. The telehealth platform that donated these services also treats non-HCWs.
Researchers used a heuristic classification algorithm to obtain each HCW’s profession from the transcript. They further processed the de-identified transcripts by converting words to their root forms to create a ‘vocabulary.’ They removed empty transcripts and words that emerged from fewer than 50 documents.
STMs showed that HCWs frequently brought up four topics related to healthcare provision. The topics exclusively mentioned by them included fears related to the coronavirus, their work in intensive care units and hospital floors, masking and patients, and their roles .
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