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Psychological Support and Psychotherapy during the COVID-19 Outbreak: First Response of Practitioners

2021· article· en· W3168742960 on OpenAlexvenueno aff
Mariana Velykodna, Iryna Frankova

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2021
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)PandemicPsychologyPrivate practiceComputer-assisted web interviewingSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Work (physics)2019-20 coronavirus outbreakOutbreakPsychotherapistNursingMedicineFamily medicineBusiness

Abstract

fetched live from OpenAlex

Providers of psychological support and psychotherapy during the COVID-19 pandemic unfolding were facing the new unavoidable reality, which required making urgent changes in their practice. The paper aimed to study the "first responses” of psychologists and psychotherapists to the COVID-19 pandemic situation with its uncertainty before the lockdown. An online survey was developed and distributed among psychologists and psychotherapists from Ukraine from 14 to March 16, 2020. Results showed that among survey respondents (n=145), 35.9% had already changed their practice somehow, and 75.2% had been considering how their practice might be modified. The more often the COVID-19 pandemic was discussed by patients, the more often it affected the style and technique of the corresponding specialists, thereby pushing psychotherapists to change the format of their work. Practice restrictions due to quarantine measures affected more affiliated consultants, while difficulties with setting (e.g., canceled sessions, financial issues) were more frequent among private practice consultants, and both proposed online consultations to their patients. In conclusion, the pandemic situation caused relevant modifications in the organization of psychological and psychotherapeutic support even during the first weeks of the COVID-19 outbreak in Ukraine. The first responses of practitioners were related to (a) their experience and type of affiliation, (b) the main approach, (c) the subjective readiness or non-readiness to modify the usual form of work, (d) the way of interpreting the patient’s anxieties, (e) the lethal cases of coronavirus in the area of living.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.109
GPT teacher head0.437
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Intellectual Disability - Diagnosis and TreatmentSame topicCOVID-19 and Mental HealthFrench-language works237,207