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Unit cost analysis of training and deploying paid community health workers in three rural districts of Tanzania

Overview of attention for article published in BMC Health Services Research, July 2016
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Title
Unit cost analysis of training and deploying paid community health workers in three rural districts of Tanzania
Published in
BMC Health Services Research, July 2016
DOI 10.1186/s12913-016-1476-5
Pubmed ID
Authors

Kassimu Tani, Amon Exavery, Colin D. Baynes, Senga Pemba, Ahmed Hingora, Fatuma Manzi, James F. Phillips, Almamy Malick Kanté

Abstract

Tanzania, like other African countries, faces significant health workforce shortages. With advisory and partnership from Columbia University, the Ifakara Health Institute and the Tanzanian Training Centre for International Health (TTCIH) developed and implemented the Connect Project as a randomized cluster experimental trial of the childhood survival impact of recruiting, training, and deploying of a new cadre of paid community health workers (CHW), named "Wawazesha wa afya ya Jamii" (WAJA). This paper presents an estimation of the cost of training and deploying WAJA in three rural districts of Tanzania. Costing data were collected by tracking project activity expenditure records and conducting in-depth interviews of TTCIH staff who have led the training and deployment of WAJA, as well as their counterparts at Public Clinical Training Centres who have responsibility for scaling up the WAJA training program. The trial is registered with the International Standard Randomized Controlled Trial Register number ( ISRCTN96819844 ). The Connect training cost was US$ 2,489.3 per WAJA, of which 40.1 % was for meals, 20.2 % for accommodation 10.2 % for tuition fees and the remaining 29.5 % for other costs including instruction and training facilities and field allowance. A comparable training program estimated unit cost for scaling-up this training via regional/district clinical training centres would be US$ 833.5 per WAJA. Of this unit cost, 50.3 % would involve the cost of meals, 27.4 % training fees, 13.7 % for field allowances, 9 % for accommodation and medical insurance. The annual running cost of WAJA in a village will cost US$ 1.16 per capita. Costs estimated by this study are likely to be sustainable on a large scale, particularly if existing regional/district institutions are utilized for this program.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Congo, The Democratic Republic of the 1 <1%
Unknown 111 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 18%
Student > Master 16 14%
Other 8 7%
Student > Doctoral Student 8 7%
Student > Bachelor 8 7%
Other 25 22%
Unknown 28 25%
Readers by discipline Count As %
Medicine and Dentistry 26 23%
Social Sciences 18 16%
Nursing and Health Professions 13 12%
Economics, Econometrics and Finance 6 5%
Agricultural and Biological Sciences 5 4%
Other 15 13%
Unknown 30 27%
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 15 July 2016.
All research outputs
#15,380,162
of 22,880,691 outputs
Outputs from BMC Health Services Research
#5,574
of 7,651 outputs
Outputs of similar age
#226,023
of 354,866 outputs
Outputs of similar age from BMC Health Services Research
#134
of 178 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,651 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 354,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.