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Devolution and its effects on health workforce and commodities management – early implementation experiences in Kilifi County, Kenya

Overview of attention for article published in International Journal for Equity in Health, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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2 policy sources
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21 X users

Citations

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60 Dimensions

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274 Mendeley
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Title
Devolution and its effects on health workforce and commodities management – early implementation experiences in Kilifi County, Kenya
Published in
International Journal for Equity in Health, September 2017
DOI 10.1186/s12939-017-0663-2
Pubmed ID
Authors

Benjamin Tsofa, Catherine Goodman, Lucy Gilson, Sassy Molyneux

Abstract

Decentralisation is argued to promote community participation, accountability, technical efficiency, and equity in the management of resources, and has been a recurring theme in health system reforms for several decades. In 2010, Kenya passed a new constitution that introduced 47 semi-autonomous county governments, with substantial transfer of responsibility for health service delivery from the central government to these counties. Focusing on two key elements of the health system, Human Resources for Health (HRH) and Essential Medicines and Medical Supplies (EMMS) management, we analysed the early implementation experiences of this major governance reform at county level. We employed a qualitative case study design, focusing on Kilifi County, and adapted the decision space framework developed by Bossert et al., to guide our inquiry and analysis. Data were collected through document reviews, key informant interviews, and participant and non-participant observations between December 2012 and December 2014. As with other county level functions, HRH and EMMS management functions were rapidly transferred to counties before appropriate county-level structures and adequate capacity to undertake these functions were in place. For HRH, this led to major disruptions in staff salary payments, political interference with HRH management functions and confusion over HRH management roles. There was also lack of clarity over specific roles and responsibilities at county and national government, and of key players at each level. Subsequently health worker strikes and mass resignations were witnessed. With EMMS, significant delays in procurement led to long stock-outs of essential drugs in health facilities. However, when the county finally managed to procure drugs, health facilities reported a better order fill-rate compared to the period prior to devolution. The devolved government system in Kenya has significantly increased county level decision-space for HRH and EMMS management functions. However, harnessing the full potential benefits of this increased autonomy requires targeted interventions to clarify the roles and responsibilities of different actors at all levels of the new system, and to build capacity of the counties to undertake certain specific HRH and EMMS management tasks. Capacity considerations should always be central when designing health sector decentralisation policies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 274 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 84 31%
Researcher 26 9%
Student > Ph. D. Student 26 9%
Student > Doctoral Student 25 9%
Student > Bachelor 15 5%
Other 23 8%
Unknown 75 27%
Readers by discipline Count As %
Medicine and Dentistry 47 17%
Nursing and Health Professions 41 15%
Social Sciences 37 14%
Business, Management and Accounting 10 4%
Environmental Science 7 3%
Other 51 19%
Unknown 81 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 28 January 2022.
All research outputs
#1,900,612
of 25,271,884 outputs
Outputs from International Journal for Equity in Health
#292
of 2,200 outputs
Outputs of similar age
#35,864
of 322,228 outputs
Outputs of similar age from International Journal for Equity in Health
#11
of 57 outputs
Altmetric has tracked 25,271,884 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 2,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 86% 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 322,228 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.