| Literature DB >> 28855962 |
Angela Akol1,2, Joyce Nalugya3, Sylvia Nshemereirwe4, Juliet N Babirye2, Ingunn Marie Stadskleiv Engebretsen1.
Abstract
BACKGROUND: Early identification and management of child and adolescent mental health (CAMH) disorders helps to avert mental illness in adulthood but a CAMH treatment gap exists in Uganda. CAMH integration into primary health care (PHC) through in-service training of non-specialist health workers (NSHW) using the World Health Organisation (WHO) Mental Health Gap Action Programme (mhGAP) Intervention Guide (IG) is a strategy to address this gap. However, results of such training are not supported by information on training development or delivery; and are undifferentiated by NSHW cadre. We aim to describe an in-service CAMH training for NSHW in Uganda and assess cadre-differentiated learning outcomes.Entities:
Keywords: Adolescent; Cadre; Child; Mental health; Non-specialist health worker; Primary care; Training
Year: 2017 PMID: 28855962 PMCID: PMC5571627 DOI: 10.1186/s13033-017-0158-y
Source DB: PubMed Journal: Int J Ment Health Syst ISSN: 1752-4458
Fig. 1Conceptual model of CME
(Adapted from Marinopoulos and Baumann [27])
Participant profile
| Characteristic | n (%) |
|---|---|
| Age (years) | |
| 18–24 | 3 (9.1) |
| 25–29 | 9 (27.3) |
| 30–34 | 9 (27.3) |
| 35–39 | 8 (24.2) |
| >40 | 4 (12.1) |
| Gender | |
| Male | 16 (48.5) |
| Female | 17 (51.5 |
| Cadre | |
| Clinical officer | 10 (30.3) |
| Nurse/midwife | 23 (69.7) |
| Years of service experience | |
| 1–5 | 13 (39.4) |
| 6–10 | 12 (36.4) |
| >10 | 8 (24.2) |
Pre and post training test results by cadre for all participants
| Mean score (95% CI) | Min | Max | IQR | Percentage changea | p value (95% CI) | |
|---|---|---|---|---|---|---|
| Pre-test | ||||||
| Clinical officer | 64.0 (57.0, 71.0) | 52 | 88 | 8 | 0.022 | |
| Nurse/midwife | 52.9 (47.3, 58.5) | 32 | 84 | 12 | ||
| All | 56.2 (51.6, 60.9) | 32 | 88 | 16 | ||
| Post-test | ||||||
| Clinical officer | 76.8 (72.4, 81.2) | 68 | 88 | 8 | 20.0 | 0.002 |
| Nurse/midwife | 62.4 (56.9, 68.0) | 32 | 84 | 16 | 18.0 | |
| All | 66. 8 (62.4, 71.4) | 32 | 88 | 20 | 18.9 | |
aPercentage change: (Post-test score−pre-test score/pre-test score * 100)
Hierarchical Linear Regression of post-test results
| Model 1 | Model 2 | Model 3 | |
|---|---|---|---|
| Cadre | −14.4 (−23.1, −5.7)* | −8.0 (−15.5, −0.4)* | −46.2 (−88.0, −4.4)* |
| Pre-test | 0.6 (0.3, 0.9)* | 0.1 (−0.5, 0.7) | |
| Cadre*pre-test | 0.6 (0.1, 1.3) |
* p < 0.05
Logistic regression of CAMH knowledge change
| 10% Knowledge gain | 15% Knowledge gain | 25% Knowledge gain | |||||||
|---|---|---|---|---|---|---|---|---|---|
| AOR | 95% CI | p value | AOR | 95% CI | p value | AOR | 95% CI | p value | |
| Cadre | 0.08 | (0.01, 1.19) | 0.066 | 0.16 | (0.01, 2.21) | 0.170 | 0.13 | (0.01, 1.74) | 0.122 |
| Pre-test | 0.90 | (0.83, 0.99) | 0.024* | 0.87 | (0.77, 0.98) | 0.022* | 0.87 | (0.78, 0.98) | 0.018* |
| Sex | 1.72 | (0.25, 11.97) | 0.582 | 0.93 | (0.13, 6.76) | 0.941 | 0.50 | (0.07, 3.48) | 0.485 |
| Age | 1.21 | (0.94, 1.57) | 0.143 | 1.43 | (1.02, 1.99) | 0.039* | 1.31 | (0.98, 1.75) | 0.069 |
| Years of service | 0.57 | (0.11, 3.09) | 0.514 | 0.26 | (0.04, 1.50) | 0.137 | 0.37 | (0.06, 2.17) | 0.271 |
* p < 0.05