Aim: The paper describes and interprets the experiences of transcriptionists employed to translate recorded auditory research, medical, court data into text and specifically when the research is sensitive and the audio source material may be traumatic to hear.
Background: This study highlights the ongoing need for transcriptionists to be recognized in the ethics process as a potentially vulnerable group who need greater support and debriefing when transcribing sensitive health and social data.
Design: Qualitative research.
Methods: Telephone interviews were conducted with 12 transcriptionists in Australia and New Zealand during 2012, who had transcribed sensitive material and reported issues with transcribing certain topics. Accuracy and confidentiality were paramount in this work.
Findings: Seven participants reported negative emotional and physical effects from transcribing sensitive material On the other hand six participants found the work enjoyable.
Conclusion: The majority of the transcriptionists did not receive any debriefing after transcribing sensitive material. The participants developed their own strategies to deal with the effects of transcribing sensitive materials such as online support groups, relaxation activities and unofficial debriefing with friends and family.
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http://dx.doi.org/10.1111/jan.12510 | DOI Listing |
BMC Public Health
January 2025
Department of Women & Children's Health, King's College London, London, UK.
Background: Recurrent early pregnancy loss [rEPL] is a traumatic experience, marked by feelings such as grief and depression, and often anxiety. Despite this, the psychological consequences of rEPL are often overlooked, particularly when considering future reproductive health or approaching subsequent pregnancies. The SARS-CoV-2 pandemic led to significant reconfiguration of maternity care and a negative impact on the perinatal experience, but the specific impact on women's experience of rEPL has yet to be explored.
View Article and Find Full Text PDFMikrobiyol Bul
January 2025
Aydın Adnan Menderes Üniversitesi Tıp Fakültesi, Tıbbi Mikrobiyoloji Anabilim Dalı, Aydın.
Fusarium türleri, insanlarda keratit ve onikomikoz başta olmak üzere invaziv veya invaziv olmayan çeşitli enfeksiyonlarda etken olan küf mantarlarıdır. Taksonomide Fusarium cinsi, tür kompleks [species complex (SC)]'lere ayrılmış, SC'ler de türlere ayrılmıştır. SC/tür düzeyinde identifikasyonun, morfolojik özelliklere göre yapılmasının güçlüğü nedeniyle moleküler yöntemlerin kullanımı önerilmektedir.
View Article and Find Full Text PDFPlant Dis
January 2025
Institute of Plant Protection, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu, China;
Astragalus mongholicus is a perennial Chinese medicinal herb in the family Leguminosae widely cultivated in China. In September 2023, A. mongholicus plants in a field in Weiyuan County, Gansu Province, showed symptoms of circular or irregular brown, sunken and necrotic lesions, multiple lesions coalesced, and brown longitudinal cracks in the roots.
View Article and Find Full Text PDFPediatr Pulmonol
January 2025
Department of Pediatrics, Division of Pulmonary, Allergy/Immunology, Cystic Fibrosis and Sleep, Emory University, Atlanta, Georgia, USA.
Background: Cystic Fibrosis Foundation guidelines recommend human milk (HM) as the ideal source of nutrition for children with CF (cwCF). Despite known pulmonary and nutritional benefits, fewer cwCF ever receive HM compared to the general population. Early nutrition choices are preference-sensitive, yet little is known about the factors that impede or sustain HM feeding among parents of cwCF.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Introduction: The automated analysis of connected speech using natural language processing (NLP) emerges as a possible biomarker for Alzheimer's disease (AD). However, it remains unclear which types of connected speech are most sensitive and specific for the detection of AD.
Methods: We applied a language model to automatically transcribed connected speech from 114 Flemish-speaking individuals to first distinguish early AD patients from amyloid negative cognitively unimpaired (CU) and then amyloid negative from amyloid positive CU individuals using five different types of connected speech.
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