Patient-led integrated cognitive behavioural therapy for management of long COVID with comorbid depression and anxiety in primary care - A case study.
Chronic Illn
; 18(3): 691-701, 2022 09.
Article
in English
| MEDLINE | ID: covidwho-1928039
ABSTRACT
OBJECTIVE:
Long COVID affects approximately ten-percent of people following post-acute Coronavirus infection. Long COVID is a complex, multisystemic recent illness. Therefore, there are currently no unitary guidelines on its management. The UK national guidelines currently recommended that interventions are guided by objective research evidence and subjective experiences of patients. They also emphasise multidisciplinary/interdisciplinary professional care and patient self-management.METHODS:
The current case study applied patient-led integrated cognitive behavioural therapy in a 36-year-old male presenting with long COVID symptoms with comorbid depression and anxiety. It applied integrated interdisciplinary CBT with emphasis on enhancing patient self-management. The patient attended twelve, individual, 60â min video sessions, via Microsoft Teams over a period of five months. The treatment was conducted in collaboration with the patient's general practitioner, physiotherapists and cardiopulmonary specialists. In line with the National Institute for Health and Care Excellence guidelines, it applied symptom monitoring, graded pacing and behavioural experiments.RESULTS:
At the end of therapy, the patient showed reliable change in his somatic symptoms, depression and anxiety symptoms. He also showed improved quality of life.DISCUSSION:
This case illustrates the effective use of patient-led CBT for managing symptoms of long COVID with comorbid depression and anxiety in primary care.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Cognitive Behavioral Therapy
/
COVID-19
Type of study:
Case report
/
Qualitative research
Topics:
Long Covid
Limits:
Adult
/
Humans
/
Male
Language:
English
Journal:
Chronic Illn
Journal subject:
Medicine
Year:
2022
Document Type:
Article
Affiliation country:
17423953221113605
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