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Who seeks child and adolescent mental health care in Kenya? A descriptive clinic profile at a tertiary referral facility

Overview of attention for article published in Child and Adolescent Psychiatry and Mental Health, March 2017
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Title
Who seeks child and adolescent mental health care in Kenya? A descriptive clinic profile at a tertiary referral facility
Published in
Child and Adolescent Psychiatry and Mental Health, March 2017
DOI 10.1186/s13034-017-0151-x
Pubmed ID
Authors

Judy Wanjiru Kamau, Olayinka O. Omigbodun, Tolulope Bella-Awusah, Babatunde Adedokun

Abstract

The presence of psychiatric morbidity in the child and adolescent age group is demonstrable in various studies conducted in various settings in Kenya. This study set out to determine the psychiatric morbidity and socio-demographic profile of patients who eventually present for care at a tertiary specialist child and adolescent mental health clinic in Kenya. Knowledge of the patterns of presentation of disorders is crucial for planning of service scale up as well as serving as a useful training guide. This was a cross sectional descriptive study of 166 patients and their guardians presenting to the child and adolescent mental health clinics at a tertiary referral hospital in Nairobi, Kenya. Data was collected using a researcher designed socio-demographic questionnaire and the Kiddie-schedule for affective disorders and schizophrenia-present and lifetime (KSADS-PL 2009 Working Draft) and analysed using Statistical Package for Social Scientists. There were more males (56%) than females in this study and the participant's mean age was 13.6 years. Substance abuse disorders were the most prevalent presentation (30.1%) followed by depressive disorders (13.9%), with most referrals to the clinic coming from medical practitioners and teachers. The mean time to accessing care at the clinic after the onset of symptoms was 16.6 months, with the longest time taken to specialist care being 183 months. The findings from this study will go a long way to support the establishment of programs that improve timely child and adolescent mental health service delivery. The involvement of various stakeholders such as the education sector and the community is key in the development of these programs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 22%
Student > Ph. D. Student 22 15%
Researcher 17 12%
Student > Doctoral Student 9 6%
Student > Bachelor 8 6%
Other 17 12%
Unknown 40 28%
Readers by discipline Count As %
Medicine and Dentistry 27 19%
Psychology 23 16%
Nursing and Health Professions 17 12%
Social Sciences 12 8%
Economics, Econometrics and Finance 3 2%
Other 13 9%
Unknown 50 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 March 2017.
All research outputs
#17,883,247
of 22,959,818 outputs
Outputs from Child and Adolescent Psychiatry and Mental Health
#531
of 660 outputs
Outputs of similar age
#221,120
of 307,966 outputs
Outputs of similar age from Child and Adolescent Psychiatry and Mental Health
#10
of 13 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 15th percentile – i.e., 15% 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 307,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.