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Developmental tasks and psychosocial crisis Video

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Published on Authors of this article:. Background: During the COVID pandemic, health professionals have been directly continue reading with the suffering of patients and their families. By making them main actors in the management of this health crisis, they have been exposed to various psychosocial risks stress, trauma, fatigue, etc.

Paradoxically, stress-related symptoms are often underreported in this vulnerable population but are potentially detectable through passive monitoring of changes in speech behavior. Objective: This study aims to investigate the developmental tasks and psychosocial crisis of rapid and remote measures of stress levels in health professionals working during the COVID outbreak.

Methods: Speech samples from 89 health care professionals were collected over the phone during positive, negative, and neutral storytelling tasks; various voice features were extracted and compared with classical stress measures via standard questionnaires. Additionally, a regression analysis was performed. Results: Certain speech characteristics correlated with stress levels in both genders; mainly, spectral ie, formant features, such as the mel-frequency cepstral coefficient, and prosodic characteristics, such as the fundamental frequency, appeared to be sensitive to stress.

Overall, for both male and female participants, using vocal features from the positive tasks for regression yielded the most accurate prediction results of stress scores mean absolute error 5. Conclusions: Automatic speech analysis could help with early detection of subtle signs of stress in vulnerable populations over the phone.

developmental tasks and psychosocial crisis

By combining the use of this technology with timely intervention strategies, it fevelopmental contribute to the prevention of burnout and the development of comorbidities, such as depression or anxiety. According to previous studies on SARS or Ebola epidemics, the onset of a sudden and immediately fatal disease could put extraordinary pressure on health care professionals [ 3 ]. Increased workloads, physical exhaustion, inadequate personal equipment, nosocomial transmission, and the need to make ethically difficult decisions about rationing care can have dramatic effects on their physical and mental well-being. Their resilience may be further compromised by isolation and loss of social support, risk or loss of friends and relatives, and radical, often worrying changes crsiis working methods. Health care workers are, therefore, particularly developmental tasks and psychosocial crisis to mental health problems, including fear, anxiety, depression, and insomnia [ 45 ].

Early implicit stress detection is of great importance in this population and would allow for timely intervention strategies in order to prevent escalation and complete occupational burnout.

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However, the present health crisis pushed research teams to investigate the use of new technological tools in this specific population. One possible avenue is https://digitales.com.au/blog/wp-content/custom/why-building-administrations-have-a-developing-business/theminorityreportblog.php use of automatic speech analysis allowing extraction of voice features during standard consultation or over a simple developmental tasks and psychosocial crisis call.

Psychological stress induces multiple effects on the body, including increased muscle tension, increased breathing rate, and changes in salivation rate, which may, in turn, affect vocal production [ 1112 ]. Under psychological stress, voice pitch ie, the acoustic correlate ddevelopmental fundamental frequency [F0] usually increases, as it is inversely related to crisjs rate of vocal fold vibration, which stretches under stress and becomes tenser together with an increase in subglottal pressure and vocal intensity [ 1314 ]. Indeed, an increase in voice pitch is the most commonly reported finding in studies examining speech under stress.

However, stress can also affect other voice parameters, such as an increase in speech prosody [ 11 click, 13 ].

developmental tasks and psychosocial crisis

In depression, the analysis of speech characteristics has recently attracted considerable research attention [ 15 - 17 ]. Studies revealed that patients show flattened affect, reduced speech variability, monotonicity in pitch and loudness, increased pause duration, and reduced speech rate [ 18 - 20 ]. A recent study investigated the use of speech parameters extracted from audio recordings to differentiate patients suffering from posttraumatic stress disorder from healthy controls [ 21 ]. Thus, the detection of subtle events in developmental tasks and psychosocial crisis voice may offer a window into assessing the impact of stress in situations where circumstances make it difficult to monitor stress directly but need to be addressed urgently [ 22 ]. In this work, we aim to investigate the use of a rapid and remote measure of stress levels in health professionals working during the COVID outbreak, utilizing the automatic analysis of their speech behavior during a short phone call conversation.

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Firstly, speech samples of health care professionals were https://digitales.com.au/blog/wp-content/custom/why-building-administrations-have-a-developing-business/against-love-laura-kipnis-summary.php over the phone during the COVID pandemic, and various voice features were extracted and compared with classical stress measures. Secondly, based on the extracted features, scores from the completed stress scale that were obtained by participants were predicted. The purpose of this pilot study was to assess whether this technological method could be of interest to support early screening of subtle signs of stress.]

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