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Does child and adolescent mental health in-service training result in equivalent knowledge gain among cadres of non-specialist health workers in Uganda? A pre-test post-test study

Overview of attention for article published in International Journal of Mental Health Systems, August 2017
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Title
Does child and adolescent mental health in-service training result in equivalent knowledge gain among cadres of non-specialist health workers in Uganda? A pre-test post-test study
Published in
International Journal of Mental Health Systems, August 2017
DOI 10.1186/s13033-017-0158-y
Pubmed ID
Authors

Angela Akol, Joyce Nalugya, Sylvia Nshemereirwe, Juliet N. Babirye, Ingunn Marie Stadskleiv Engebretsen

Abstract

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. Thirty-six clinical officers, nurses and midwives from 18 randomly selected PHC clinics in eastern Uganda were trained for 5 days on CAMH screening and referral using a curriculum based on the mhGAP-IG version 1.0 and PowerPoint slides from the International Association of Child and Adolescent Psychiatry and Allied Professions (IACAPAP). The residential training was evaluated through pre- and post- training tests of CAMH knowledge and attitudes using the participants' post-test scores; and the difference between pre-test and post-test scores. Two-tailed t-tests assessed differences in mean pre-test and post-test scores between the cadres; hierarchical linear regression tested the association between cadre and post test scores; and logistic regression evaluated the relationship between cadre and knowledge gain at three pre-determined cut off points. Thirty-three participants completed both pre-and post-tests. Improved mean scores from pre- to post-test were observed for both clinical officers (20% change) and nurse/midwives (18% change). Clinical officers had significantly higher mean test scores than nurses and midwives (p < 0.05) but cadre was not significantly associated with improvement in CAMH knowledge at the 10% (AOR 0.08; 95 CI [0.01, 1.19]; p = 0.066), 15% (AOR 0.16; 95% CI [0.01, 2.21]; p = 0.170), or 25% (AOR 0.13; 95% CI [0.01, 1.74]; p = 0.122) levels. We aimed to examine CAMH learning outcomes by NSHW cadre. NSHW cadre does not influence knowledge gain from in-service CAMH training. Thus, an option for integrating CAMH into PHC in Uganda using the mhGAP-IG and IACAPAP PowerPoint slides is to proceed without cadre differentiation.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 17%
Researcher 12 10%
Student > Ph. D. Student 9 8%
Student > Bachelor 9 8%
Student > Doctoral Student 9 8%
Other 27 23%
Unknown 30 26%
Readers by discipline Count As %
Medicine and Dentistry 23 20%
Nursing and Health Professions 22 19%
Psychology 13 11%
Social Sciences 9 8%
Business, Management and Accounting 4 3%
Other 9 8%
Unknown 35 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2017.
All research outputs
#13,216,032
of 22,999,744 outputs
Outputs from International Journal of Mental Health Systems
#453
of 719 outputs
Outputs of similar age
#153,202
of 317,235 outputs
Outputs of similar age from International Journal of Mental Health Systems
#13
of 19 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 719 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.