| Literature DB >> 35834063 |
Alexandre Aguiar Victuri1, Alessandra Turini Bolsoni-Silva2.
Abstract
Terapia Analítico-Comportamental (TAC) (in English, behavioral-analytic therapy, behavior therapy, or clinical behavior analysis) is a possible intervention for cases of anxiety and depression, but it still has much to advance in terms of efficacy and clinical utility evidence. This article aims to describe the effects of a semi-structured intervention in the model of TAC regarding anxiety and depression, behavior, complaints, and satisfaction indicators. Participants included three women with children, marital relationships, and work, aged between 34 and 41 with complaints compatible with anxiety and depression disorders. The intervention used Promove - Saúde da Mulher (PSM) (in English, Promote Women's Health), which included 17 topics, most of them related to social skills. Instruments included the GAD-7 for anxiety, PHQ-9 for depression, IHS-2 Del Prette for social skills, a Complaints Checklist for monitoring clinical demands, and an Evaluation of the Therapeutic Process to describe clients' satisfaction rates. The results from the standardized instruments were statistically analyzed via the JT method. All three participants showed reliable improvements in anxiety and/or depression, improvement in most complaints, and satisfaction with the intervention and its outcomes. Acquisition of social skills occurred in two cases. One participant dropped out and another one relapsed at follow-up. The efficacy criteria were used to evaluate the internal validity of the present study. The study collected the first evidences of outcome and satisfaction for PSM, thus enabling future investigations on the efficacy and clinical utility of this intervention program.Entities:
Keywords: Anxiety; Behavior therapy; Behavioral-analytic therapy; Clinical behavior analysis; Depression; Manual; TAC; Women
Year: 2022 PMID: 35834063 PMCID: PMC9283552 DOI: 10.1186/s41155-022-00226-y
Source DB: PubMed Journal: Psicol Reflex Crit ISSN: 0102-7972
Fig. 1Anxiety (GAD-7) and depression (PHQ-9) results. Note: BL = baseline; R+C = reliable positive change; R-C = reliable negative change; red dotted line = instruments cut score; black dotted line = beginning of the intervention for each participant
Fig. 2Social skills total scores percentiles (IHS-2 Del Prette). Note: BL = Baseline; R+C = reliable positive change; R-C = reliable negative change; Clin. Sign. + = clinically significant positive change; Clin. Sign. - = clinically significant negative change; black dotted line = beginning of the intervention for each participant
Fig. 3Complaints Checklist Scores. Note: BL = baseline; black dotted line = start of intervention for each participant
Instruments’ information for GAD-7, PHQ-9, and IHS-2 Del Prette
| Instrument | Construct | Psychometric properties |
|---|---|---|
| GAD-7 (Spitzer et al., | Anxiety | (Moreno et al., |
| PHQ-9 (Kroenke et al., | Depression | Sensitivity = 1.00 Specificity = 0.98 Positive predictive value = 0.97 Negative predictive value = 1.00 (Santos et al., |
| IHS-2 Del Prette (Del Prette & Del Prette, | Social skills repertoire | (Del Prette et al., |
Efficacy criteria (Durgante & Dell’Aglio, 2018) met by the present study
| Criteria | Parts of the text in which the criteria were met |
|---|---|
| 3. Guidelines should specify what outcomes the intervention aims to produce and the required evidence for each outcome. | PSM description Results |
| 4. It is important to consider the method and rationale for selecting participants as well as how the sample represents the population (group equivalence) and phenomena of interest. | Criteria for selection of participants |
| 6. Measures used to evaluate the results must have psychometric validity. | |
| 8. An efficacy statement should be formulated that “program or policy X is efficacious in producing outcomes Y for population Z.” | Discussion |
| 9. Individual pre-test differences should be evaluated. | Brief case formulations |
| 10. For long-term results, there should be at least one follow-up. | Method Results |
| 11. All results should be displayed (positive, non-significant, or negative). | Results |
| 12. Statistics should be used to ensure unbiased estimates in the results. | Data analysis procedures for standardized instruments |
| 13. Results should consider the clinical significance of the intervention. | Data analysis procedures Results for standardized instruments |
| 15. Results should contain the main components of the intervention, time to observe effects, and mediating or moderating variables | Results |
| 17. The study should assess and report rates of losses and dropouts, which may compromise the generalizability of the results to other samples/populations. | Results Discussion |
Criteria translated from Durgante and Dell’Aglio (2018)