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Integrating mental health into primary care in Nigeria: report of a demonstration project using the mental health gap action programme intervention guide

Overview of attention for article published in BMC Health Services Research, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
10 X users
facebook
1 Facebook page

Citations

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124 Dimensions

Readers on

mendeley
413 Mendeley
Title
Integrating mental health into primary care in Nigeria: report of a demonstration project using the mental health gap action programme intervention guide
Published in
BMC Health Services Research, June 2015
DOI 10.1186/s12913-015-0911-3
Pubmed ID
Authors

Oye Gureje, Jibril Abdulmalik, Lola Kola, Emmanuel Musa, Mohammad Taghi Yasamy, Kazeem Adebayo

Abstract

The World Mental Health Surveys conducted by the World Health Organization (WHO) have shown that huge treatment gaps for severe mental disorders exist in both developed and developing countries. This gap is greatest in low and middle income countries (LMICs). Efforts to scale up mental health services in LMICs have to contend with the paucity of mental health professionals and health facilities providing specialist services for mental, neurological and substance use (MNS) disorders. A pragmatic solution is to improve access to care through the facilities that exist closest to the community, via a task-shifting strategy. This study describes a pilot implementation program to integrate mental health services into primary health care in Nigeria. The program was implemented over 18 months in 8 selected local government areas (LGAs) in Osun state of Nigeria, using the WHO Mental Health Gap Action Programme Intervention Guide (mhGAP-IG), which had been contextualized for the local setting. A well supervised cascade training model was utilized, with Master Trainers providing training for the Facilitators, who in turn conducted several rounds of training for front-line primary health care workers. The first set of trainings by the Facilitators was supervised and mentored by the Master Trainers and refresher trainings were provided after 9 months. A total of 198 primary care workers, from 68 primary care clinics, drawn from 8 LGAs with a combined population of 966,714 were trained in the detection and management of four MNS conditions: moderate to severe major depression, psychosis, epilepsy, and alcohol use disorders, using the mhGAP-IG. Following training, there was a marked improvement in the knowledge and skills of the health workers and there was also a significant increase in the numbers of persons identified and treated for MNS disorders, and in the number of referrals. Even though substantial retention of gained knowledge was observed nine months after the initial training, some level of decay had occurred supporting the need for a refresher training. It is feasible to scale up mental health services in primary care settings in Nigeria, using the mhGAP-IG and a well-supervised cascade-training model. This format of training is pragmatic, cost-effective and holds promise, especially in settings where there are few specialists.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 413 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Nigeria 1 <1%
Unknown 411 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 76 18%
Researcher 55 13%
Student > Postgraduate 47 11%
Student > Ph. D. Student 36 9%
Student > Bachelor 27 7%
Other 68 16%
Unknown 104 25%
Readers by discipline Count As %
Medicine and Dentistry 121 29%
Nursing and Health Professions 49 12%
Psychology 37 9%
Social Sciences 29 7%
Neuroscience 8 2%
Other 46 11%
Unknown 123 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 05 August 2023.
All research outputs
#1,770,597
of 24,216,270 outputs
Outputs from BMC Health Services Research
#611
of 8,145 outputs
Outputs of similar age
#22,441
of 268,440 outputs
Outputs of similar age from BMC Health Services Research
#11
of 98 outputs
Altmetric has tracked 24,216,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,145 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 92% of its peers.
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 268,440 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.