| Literature DB >> 35381017 |
Michel Haddad1, Angel O Rojas Vistorte1, Glenda Guerra Haddad2, Wagner Ribeiro3, Carolina Ziebold1, Elson Asevedo1,4, Sara Evans-Lacko3,5, Oscar Ulloa6, Jair de Jesus Mari1.
Abstract
OBJECTIVE: The objective of our study was to explore clinical decisions of psychiatrists regarding the management of common mental disorders in primary care (PC) in four Latin Americans countries, through the application of clinical vignettes.Entities:
Mesh:
Year: 2022 PMID: 35381017 PMCID: PMC8982860 DOI: 10.1371/journal.pone.0265308
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographics and training characteristics of the participating psychiatrists.
| Bolivia | Brazil | Chile | Cuba | p-value | ||
|---|---|---|---|---|---|---|
| (N = 29)% | (N = 102) % | (N = 29) % | (N = 70) % | |||
| Gender |
| 12(41.4%) | 50(49%) | 15(51.7%) | 32(45.7%) | .82 |
|
| 17(58.6%) | 52(51%) | 14(48.3%) | 38(54.3%) | ||
| ICD | 23(79.3%) | 65 (63.7%) | 29(100%) | 62(88.5%) | .01 | |
| DSM | 26(89.6%) | 97(95%) | 29(100%) | 64(91.4%) | .03 | |
| None | - | 1(0.98%) | 1(3.45%) | 3(4.29%) | .45 | |
| Age (Mean/SD) | 42.9(10.4) | 44.7(8.7) | 48.2(9.2) | 43.3(10.4) | .08 | |
| Years of training (Mean/SD) | 5.9(2.98) | 8.80(5.50) | 10.9(4.86) | 11.3(7.85) | .01 | |
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| Work in Primary Care | 10(34.4%) | 10(9.8%) | 23(79.3%) | 43(61.4%) | .01 | |
Notes:
SD = standard deviation.
* Chi-square.
** ANOVA.
Clinicians’ recognition of mental disorders and decision making in the clinical vignettes, stratified by country.
| Bolivia | Brazil | Chile | Cuba | p-value (x2) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | |||||||
| Yes | No | Yes | No | Yes | No | Yes | No | |||
| Depression |
| 13 (86.7%) | 2 (13.3%) | 41 (66.1%) | 21 (33.9%) | 19 (95%) | 1 (5%) | 33 (86.4%) | 6 (15.4%) | .01 |
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| 6 (40%) | 9 (60%) | 32 (57.1%) | 24 (42.9%) | 7 (35%) | 13 (65%) | 18 (46.2%) | 21 (53.8%) | .29 | |
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| 15 (100%) | - | 46 (82.1%) | 10 (17.9%) | 17 (85%) | 3 (15%) | 36 (92.3%) | 3 (7.7%) | .20 | |
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| 15 (100%) | - | 46 (82.1%) | 10 (17.9%) | 15 (75%) | 5 (25%) | 29 (74.4%) | 10 (25.6%) | .17 | |
| Somatoform |
| 16 (84.2%) | 3 (15.8%) | 52 (78.8%) | 14 (21.2%) | 13 (86.7%) | 2 (13.3%) | 36 (87.8%) | 5 (12.2%) | .65 |
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| 19 (100%) | - | 59 (85.5%) | 10 (14.5%) | 7 (46.7%) | 8 (53.3%) | 24 (58.5%) | 17 (41.5%) | .01 | |
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| 16 (84.2%) | 3 (15.8%) | 40 (58%) | 29 (42%) | 14 (93.3%) | 1 (6.7%) | 32 (78%) | 9 (22%) | .01 | |
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| 19 (100%) | - | 66 (95.7%) | 3 (4.3%) | 15 (100%) | - | 40 (97.6%) | 1 (2.4%) | .65 | |
| Anxiety |
| 15 (75%) | 5 (25%) | 30 (58.8%) | 21 (41.2%) | 6 (28.6%) | 15 (71.4%) | 17(44.7%) | 21 (55.3%) | .01 |
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| 11 (55%) | 9 (45%) | 36 (70.6%) | 15 (29.4%) | 18 (85.7%) | 3 (14.3%) | 26 (68.4%) | 12 (31.6%) | .19 | |
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| 15 (75%) | 5 (25%) | 29 (56.9%) | 22 (43.1%) | 8 (38.1%) | 13 (61.9%) | 27 (71.1%) | 11 (28.9%) | .04 | |
Associations of demographic/professional variables with clinicians’ recognition of mental disorders and treatment decisions using the generalized linear model.
| Model | ||||||
|---|---|---|---|---|---|---|
| Depression | Somatoform | Anxiety | ||||
| OR (95%) | p-value | OR (95%) | p-value | OR (95%) | p-value | |
|
| - | - | ||||
| Nationality (Bolivia) | 0.86(7.39–5.47) | 0.87 | 0.68(0.14–1.30) | 0.63 | - | - |
| Nationality (Chile) | 3.42(0.37–31.9) | 0.28 | 0.81(0.14–4.70) | 0.82 | - | - |
| Nationality (Brazil) |
|
| 0.47(0.15–1.49) | 0.20 | - | - |
| Gender (Female) | 1.24 (0.54–2.87) | 0.62 | 0.53 (0.22–1.27) | 0.15 | - | - |
| Age | 1.02 (0.96–1.07) | 0.58 | 1.02 (0.95–1.08) | 0.63 | - | - |
| Years of training | 0.93 (0.86–1.01) | 0.08 | 0.98 (0.90–1.07) | 0.60 | - | - |
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| Nationality (Bolivia) | 0.88(5.36–3.89) | 0.85 | 22.9(21.9–23.9) | 0.09 |
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| Nationality (Chile) | 0.45(0.14–1.47) | 0.19 | 0.56(0.12–0.39) | 0.46 | 0.42(0.12–1.48) | 0.18 |
| Nationality (Brazil) | 1.61(2.78–3.97) | 0.30 |
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| 1.70(0.70–4.10) | 0.24 |
| Gender (Female) | 1.46 (0.69–3.08) | 0.33 | 0.79 (0.32–1.94) | 0.61 |
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| Age | 1.03 (0.99–1.07) | 0.10 | 0.97 (0.92–1.03) | 0.33 | 0.98 (0.94–1.02) | 0.26 |
| Years of training | 1.03 (0.94–1.12) | 0.54 |
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| 1.05 (0.98–1.12) | 0.14 |
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| Nationality (Bolivia) |
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| 0.78(0.17–3.69) | 0.75 | 0.54(0.16–1.80) | 0.32 |
| Nationality (Chile) | 0.82(0.14–4.75) | 0.83 |
|
| 2.51(0.60–10.5) | 0.21 |
| Nationality (Brazil) | 0.43(0.08–2.44) | 0.34 | 0.27(0.10–0.72) |
| 1.07(0.42–2.72) | 0.90 |
| Gender (Female) |
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| 0.80 (0.10–0.72) | 0.60 | 1.10 (0.50–2.44) | 0.81 |
| Age |
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| 1.04 (0.96–1.11) | 0.34 | 1.02 (0.98–1.07) | 0.24 |
| Years of training | 1.01 (0.91–1.04) | 0.84 |
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| 0.99 (0.93–1.07) | 0.94 |
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| Nationality (Bolivia) |
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| 18.1(15.6–20.6) | 0.08 | 1.59(0.39–6.53) | 0.52 |
| Nationality (Chile) | 1.31(0.39–4.43) | 0.66 | 17.7(15.1–20.4) | 0.09 |
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| Nationality (Brazil) | 2.82(0.86–9.21) | 0.09 | 0.22(0.01–3.35) | 0.28 | 0.53(0.18–1.54) | 0.24 |
| Gender (Female) | 1.07 (0.43–2.66) | 0.88 | 2.72 (0.08–89.65) | 0.57 | 0.62 (0.27–1.38) | 0.24 |
| Age |
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| 1.38 (0.90–2.12) | 0.14 |
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| Years of training |
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| 0.90 (0.77–1.05) | 0.19 | 1.02 (0.95–1.09) | 0.66 |
*Logistics regressions where the dependent variables (outcome) were the chances of “yes” responses (recognizing a disease, willing to allow treatment, referring, and antidepressant prescription) compared with “no.” Abbreviations: CI = confidence interval; p = p value.
** Country of reference in the model: Cuba.