Does Confinement Affect Treatment Dropout Rates in Patients With Gambling Disorder? A Nine-Month Observational Study
COVID-19 pandemic and confinement have represented a challenge for patients with gambling disorder (GD). Regarding treatment outcome, dropout may have been influenced by these adverse circumstances. The aims of this study were: (a) to analyze treatment dropout rates in patients with GD throughout tw...
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Veröffentlicht in: | Frontiers in psychology 2021-12, Vol.12, p.761802-761802 |
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Sprache: | eng |
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Zusammenfassung: | COVID-19 pandemic and confinement have represented a challenge for patients with gambling disorder (GD). Regarding treatment outcome, dropout may have been influenced by these adverse circumstances. The aims of this study were: (a) to analyze treatment dropout rates in patients with GD throughout two periods: during and after the lockdown and (b) to assess clinical features that could represent vulnerability factors for treatment dropout.
The sample consisted of
=86 adults, mostly men (
=79, 91.9%) and with a mean age of 45years old (
=16.85). Patients were diagnosed with GD according to DSM-5 criteria and were undergoing therapy at a Behavioral Addiction Unit when confinement started. Clinical data were collected through a semi-structured interview and protocolized psychometric assessment. A brief telephone survey related to COVID-19 concerns was also administered at the beginning of the lockdown. Dropout data were evaluated at two moments throughout a nine-month observational period (T1: during the lockdown, and T2: after the lockdown).
The risk of dropout during the complete observational period was
=32/86=0.372 (37.2%), the Incidence Density Rate (
) ratio T2/T1 being equal to 0.052/0.033=1.60 (
=0.252). Shorter treatment duration (
=0.007), lower anxiety (
=0.025), depressive symptoms (
=0.045) and lower use of adaptive coping strategies (
=0.046) characterized patients who abandoned treatment during the lockdown. Briefer duration of treatment (
=0.001) and higher employment concerns (
=0.044) were highlighted in the individuals who dropped out after the lockdown. Treatment duration was a predictor of dropout in both periods (
=0.005 and |
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ISSN: | 1664-1078 1664-1078 |
DOI: | 10.3389/fpsyg.2021.761802 |