↓ Skip to main content

Improved harmonisation from policy dialogue? Realist perspectives from Guinea and Chad

Overview of attention for article published in BMC Health Services Research, July 2016
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Improved harmonisation from policy dialogue? Realist perspectives from Guinea and Chad
Published in
BMC Health Services Research, July 2016
DOI 10.1186/s12913-016-1458-7
Pubmed ID
Authors

Aku Kwamie, Juliet Nabyonga-Orem

Abstract

Harmonisation is a key principle of the Paris Declaration. The Universal Health Coverage (UHC) Partnership, an initiative of the European Union, the Government of Luxembourg and the World Health Organization, supported health policy dialogues between 2012 and 2015 in identified countries in the WHO African Region. The UHC Partnership has amongst its key objectives to strengthen national health policy development. In Guinea and Chad, policy dialogue focused on elaborating the national health plan and other key documents. This study is an analytical reflection inspired by realist evaluative approaches to understand whether policy dialogue led to improved harmonisation amongst health actors in Guinea and Chad, and if so, how and why. Interviews were conducted in Guinea and Chad with key informants at the national and sub-national government levels, civil society, and development partners. A review of relevant policy documents and reports was added to data collection to construct a full picture of the policy dialogue process. Context-mechanism-outcome configurations were used as the realist framework to guide the analysis on how participants' understanding of what policy dialogue was and the way the policy dialogue process unfolded led to improved harmonisation. Improved harmonisation as a result of policy dialogue was perceived to be stronger in Guinea than in Chad. While in both countries the participants held a shared view of what policy dialogue was and what it could achieve, and both policy dialogue processes were considered to be well implemented (i.e., well-facilitated, evidence-based, participatory, and consisted of recurring meetings and activities), certain contextual factors in Chad tempered the view of harmonisation as having improved. These were the pre-existence of dialogic policy processes that had exposed the actors to the potential that policy dialogue could have; a focus on elaborating provincial level strategies, which gave the sense that the process was more bottom-up; and the perception that there were acute resource constraints, which conditioned partners' interactions. Policy dialogue improves harmonisation in terms of fostering information exchange amongst partners; however, it does not appear to influence the operational procedures of the actors. This has implications for aid effectiveness.

X Demographics

X Demographics

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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 23%
Student > Ph. D. Student 12 20%
Researcher 9 15%
Other 3 5%
Lecturer > Senior Lecturer 2 3%
Other 6 10%
Unknown 15 25%
Readers by discipline Count As %
Social Sciences 15 25%
Medicine and Dentistry 12 20%
Nursing and Health Professions 8 13%
Environmental Science 2 3%
Engineering 2 3%
Other 5 8%
Unknown 17 28%
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 25 July 2016.
All research outputs
#15,380,359
of 22,881,154 outputs
Outputs from BMC Health Services Research
#5,574
of 7,651 outputs
Outputs of similar age
#233,711
of 363,152 outputs
Outputs of similar age from BMC Health Services Research
#149
of 200 outputs
Altmetric has tracked 22,881,154 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 363,152 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 200 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.