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Improving access to medicines through centralised dispensing in the public sector: a case study of the Chronic Dispensing Unit in the Western Cape Province, South Africa

Overview of attention for article published in BMC Health Services Research, November 2015
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Title
Improving access to medicines through centralised dispensing in the public sector: a case study of the Chronic Dispensing Unit in the Western Cape Province, South Africa
Published in
BMC Health Services Research, November 2015
DOI 10.1186/s12913-015-1164-x
Pubmed ID
Authors

Bvudzai Priscilla Magadzire, Bruno Marchal, Kim Ward

Abstract

The Chronic Dispensing Unit (CDU) is an out-sourced, public sector centralised dispensing service that has been operational in the Western Cape Province in South Africa since 2005. The CDU dispenses medicines for stable patients with chronic conditions. The aim is to reduce pharmacists' workload, reduce patient waiting times and decongest healthcare facilities. Our objectives are to describe the intervention's scope, illustrate its interface with the health system and describe its processes and outcomes. Secondly, to quantify the magnitude of missed appointments by enrolled patients and to describe the implications thereof in order to inform a subsequent in-depth empirical study on the underlying causes. We adopted a case study design in order to elicit the programme theory underlying the CDU strategy. We consulted 15 senior and middle managers from the provincial Department of Health who were working closely with the intervention and the contractor using focus group discussions and key informant interviews. In addition, relevant literature, and policy and programme documents were reviewed and analysed. We found that the CDU scope has significantly expanded over the last 10 years owing to technological advancements. As such, in early 2015, the CDU produced nearly 300,000 parcels monthly. Medicines supply, patient enrollment processes, healthcare professionals' compliance to legislation and policies, mechanisms for medicines distribution, management of non-collected medicines (emanating from patients' missed appointments) and the array of actors involved are all central to the CDU's functioning. Missed appointments by patients are a problem, affecting an estimated 8 %-12 % of patients each month. However, the causes have not been investigated thoroughly. Implications of missed appointments include a cost to government for services rendered by the contractor, potential losses due to expired medicines, additional workload for the contractor and healthcare facility staff and potential negative therapeutic outcomes for patients. The CDU demonstrates innovation in a context of overwhelming demand for dispensing medicines for chronic conditions. However, it is not a panacea to address access-to-medicines related challenges. A multi-level assessment that is currently underway will provide more insights on how existing challenges can be addressed.

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

Geographical breakdown

Country Count As %
Brazil 2 1%
Canada 1 <1%
Unknown 148 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 47 31%
Researcher 17 11%
Student > Bachelor 14 9%
Student > Ph. D. Student 11 7%
Student > Doctoral Student 9 6%
Other 25 17%
Unknown 28 19%
Readers by discipline Count As %
Medicine and Dentistry 26 17%
Social Sciences 17 11%
Nursing and Health Professions 16 11%
Pharmacology, Toxicology and Pharmaceutical Science 13 9%
Engineering 13 9%
Other 33 22%
Unknown 33 22%
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 17 December 2015.
All research outputs
#13,959,398
of 22,833,393 outputs
Outputs from BMC Health Services Research
#4,920
of 7,638 outputs
Outputs of similar age
#195,339
of 386,433 outputs
Outputs of similar age from BMC Health Services Research
#58
of 102 outputs
Altmetric has tracked 22,833,393 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 7,638 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 386,433 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 102 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.