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Factors influencing the work efficiency of district health managers in low-resource settings: a qualitative study in Ghana

Overview of attention for article published in BMC Health Services Research, January 2016
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Title
Factors influencing the work efficiency of district health managers in low-resource settings: a qualitative study in Ghana
Published in
BMC Health Services Research, January 2016
DOI 10.1186/s12913-016-1271-3
Pubmed ID
Authors

Marc Bonenberger, Moses Aikins, Patricia Akweongo, Kaspar Wyss

Abstract

There is increasing evidence that good district management practices can improve health system performance and conversely, that poor and inefficient management practices have detrimental effects. The aim of the present study was to identify factors contributing to inefficient management practices of district health managers and ways to improve their overall efficiency. Nineteen semi-structured interviews were conducted with district health managers in three districts of the Eastern Region in Ghana. The 19 interviews conducted comprised 90 % of the managerial workforce in these districts in 2013. A thematic analysis was carried out using the WHO's leadership and management strengthening framework to structure the results. Key factors for inefficient district health management practices were identified to be: human resource shortages, inadequate planning and communication skills, financial constraints, and a narrow decision space that constrains the authority of district health managers and their ability to influence decision-making. Strategies that may improve managerial efficiency at both an individual and organizational level included improvements to planning, communication, and time management skills, and ensuring the timely release of district funds. Filling District Health Management Team vacancies, developing leadership and management skills of district health managers, ensuring a better flow of district funds, and delegating more authority to the districts seems to be a promising intervention package, which may result in better and more efficient management practices and stronger health system performance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sierra Leone 1 <1%
Uganda 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 19%
Researcher 23 17%
Student > Ph. D. Student 11 8%
Student > Bachelor 10 7%
Other 7 5%
Other 28 21%
Unknown 30 22%
Readers by discipline Count As %
Medicine and Dentistry 36 27%
Nursing and Health Professions 23 17%
Social Sciences 13 10%
Business, Management and Accounting 5 4%
Engineering 4 3%
Other 22 16%
Unknown 31 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2016.
All research outputs
#13,963,252
of 22,840,638 outputs
Outputs from BMC Health Services Research
#4,922
of 7,639 outputs
Outputs of similar age
#200,561
of 395,719 outputs
Outputs of similar age from BMC Health Services Research
#71
of 106 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,639 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 34th percentile – i.e., 34% 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 395,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.