| Literature DB >> 31420014 |
Miguel Ricou1, Sílvia Marina2, Paula Marinho Vieira3,4, Ivone Duarte2, Inês Sampaio5, Joana Regalado6, Catarina Canário4.
Abstract
BACKGROUND: Few studies in Portugal have attempted to assess the impact of psychological interventions in primary health care regarding the problems shared by clients, and which variables predicted the success of this intervention. The current study, therefore, aimed to identify predictors of success related to psychological intervention in a single primary health care center in the north of Portugal.Entities:
Keywords: Predictors of success; Primary health care; Psychological intervention; Retrospective study
Mesh:
Year: 2019 PMID: 31420014 PMCID: PMC6698017 DOI: 10.1186/s12875-019-1005-9
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Frequencies of the clients’ demographic and consultation characteristics
| Number | Percent | |
|---|---|---|
| Gender | ||
| Male | 375 | 31.2 |
| Female | 649 | 54.0 |
| Age groups | ||
| 10 or less | 241 | 20.0 |
| 11 to 20 | 187 | 15.6 |
| 21 to 30 | 176 | 14.6 |
| 31 to 40 | 158 | 13.1 |
| 41 to 50 | 105 | 8.7 |
| 51 or more | 157 | 15.3 |
| Diagnosis | ||
| Relational disorder | 191 | 15.9 |
| Developmental disorder | 138 | 11.5 |
| Socioeconomic problems | 123 | 10.2 |
| Anxiety disorders | 122 | 10.1 |
| Mood disorders | 76 | 6.3 |
| Other problems | 200 | 16.6 |
| No diagnosis | 174 | 14.5 |
| Consultation status at data collection | ||
| Discharge | 330 | 27.5 |
| Ongoing | 132 | 11.0 |
| Drop-out | 293 | 24.4 |
| Referral to other professionals | 83 | 6.9 |
Predictors of success of psychological consultation
| Variable | Model |
| ||
|---|---|---|---|---|
|
| Wald |
| ||
| Constant | 1.61 (.61) | 7.05 | 4.99** | |
| Age | 0.01 (.01) | 1.88 | 1.01 | 1.00–1.02 |
| Number of consultations | −0.15 (.03) | 18.29 | .86*** | 0.81–0.92 |
| Frequency of consultations | −0.62 (.27) | 5.35 | .54* | 0.32–0.91 |
| Average time of psychological follow-up | 0.002 (.04) | 0.002 | 1.00 | 0.93–1.08 |
Note. χ (4) = 67.69, p < .001, Cox & Snell R Square = .14, Nagelkerke R Square = .19, *p < .05 **p < .01 ***p < .001
Descriptive statistics and univariate and effects of clients’ diagnosis on age, number of consultations and average follow-up time
| Diagnosis | Age M (SD) | Number of consultations M (SD) | Number of consultations min-max | follow-up in month M (SD) | follow-up in month min-max |
|---|---|---|---|---|---|
| Developmental disorders | 9.3 (6.1) | 9.93 (9.2) | 1–57 | 6.1 (7.1) | 0–38 |
| Mood disorders | 44.8 (16.6) | 8.6 (8.9) | 1–37 | 6.0 (6.9) | 0–31 |
| Anxiety disorders | 29.9 (15.5) | 9.8 (12.2) | 1–75 | 6.5 (8.3) | 0–47 |
| Relational problems | 27.7 (20.7) | 7.6 (7.1) | 1–42 | 5.2 (6.1) | 0–39 |
| Socioeconomic problems | 33.2 (21.3) | 6.1 (5.4) | 1–30 | 3.9 (4.8) | 0–36 |
| Other problems | 32.5 (15.9) | 7.7 (10.2) | 1–59 | 5.0 (7.9) | 0–61 |
| No diagnosis | 27.4 (19.0) | 3.2 (5.6) | 1–59 | 1.4 (3.7) | 0–46 |
| F(6, 1007) | 42.72*** | 11.04*** | 10.32*** |
Note. Multivariate effects Wilk’s Lambda = .74, F (18, 2826.08) = 17.33, p < .001, ***p < .001
Associations between gender and diagnosis and the success of psychological consultation
| Consultation success | Tests of association | ||
|---|---|---|---|
| Yes (%) | No (%) | ||
| Gender | Fisher’s exact test = .80 | ||
| Female | 53.5 | 46.5 | |
| Male | 52.2 | 47.8 | |
| Diagnosis | |||
| Developmental disorder | 57.3 | 42.7 | |
| Mood disorder | 41.8 | 58.2 | |
| Anxiety disorder | 50.6 | 49.4 | |
| Relational problems | 64.1 | 35.9 | |
| Socioeconomic problems | 66.7 | 33.3 | |
| Other problems | 64.1 | 56.9 | |
| No diagnosis | 34.6 | 65.4 | |
*** p < .001