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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prescribing indicators at primary health care centers within the WHO African region: a systematic analysis (1995–2015)
|
|---|---|
| Published in |
BMC Public Health, August 2016
|
| DOI | 10.1186/s12889-016-3428-8 |
| Pubmed ID | |
| Authors |
Richard Ofori-Asenso, Petra Brhlikova, Allyson M. Pollock |
| Abstract |
Rational medicine use is essential to optimize quality of healthcare delivery and resource utilization. We aim to conduct a systematic review of changes in prescribing patterns in the WHO African region and comparison with WHO indicators in two time periods 1995-2005 and 2006-2015. Systematic searches were conducted in PubMed, Scopus, Web of science, Africa-Wide Nipad, Africa Journals Online (AJOL), Google scholar and International Network for Rational Use of Drugs (INRUD) Bibliography databases to identify primary studies reporting prescribing indicators at primary healthcare centres (PHCs) in Africa. This was supplemented by a manual search of retrieved references. We assessed the quality of studies using a 14-point scoring system modified from the Downs and Black checklist with inclusions of recommendations in the WHO guidelines. Forty-three studies conducted in 11 African countries were included in the overall analysis. These studies presented prescribing indicators based on a total 141,323 patient encounters across 572 primary care facilities. The results of prescribing indicators were determined as follows; average number of medicines prescribed per patient encounter = 3.1 (IQR 2.3-4.8), percentage of medicines prescribed by generic name =68.0 % (IQR 55.4-80.3), Percentage of encounters with antibiotic prescribed =46.8 % (IQR 33.7-62.8), percentage of encounters with injection prescribed =25.0 % (IQR 18.7-39.5) and the percentage of medicines prescribed from essential medicines list =88.0 % (IQR 76.3-94.1). Prescribing indicators were generally worse in private compared with public facilities. Analysis of prescribing across two time points 1995-2005 and 2006-2015 showed no consistent trends. Prescribing indicators for the African region deviate significantly from the WHO reference targets. Increased collaborative efforts are urgently needed to improve medicine prescribing practices in Africa with the aim of enhancing the optimal utilization of scarce resources and averting negative health consequences. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| United Kingdom | 2 | 25% |
| Kenya | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 401 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nepal | 1 | <1% |
| Unknown | 400 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 70 | 17% |
| Student > Bachelor | 47 | 12% |
| Researcher | 33 | 8% |
| Student > Postgraduate | 32 | 8% |
| Other | 23 | 6% |
| Other | 69 | 17% |
| Unknown | 127 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 93 | 23% |
| Medicine and Dentistry | 82 | 20% |
| Nursing and Health Professions | 26 | 6% |
| Social Sciences | 13 | 3% |
| Immunology and Microbiology | 6 | 1% |
| Other | 46 | 11% |
| Unknown | 135 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 08 March 2020.
All research outputs
#810,970
of 25,295,968 outputs
Outputs from BMC Public Health
#848
of 16,946 outputs
Outputs of similar age
#15,454
of 352,898 outputs
Outputs of similar age from BMC Public Health
#23
of 418 outputs
Altmetric has tracked 25,295,968 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,946 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 95% 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 352,898 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 95% of its contemporaries.
We're also able to compare this research output to 418 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.