| Literature DB >> 26895882 |
Eve Namisango1, Chris Ntege2, Emmanuel B K Luyirika3, Fatia Kiyange4, Matthew J Allsop5.
Abstract
BACKGROUND: Medicine availability is improving in sub-Saharan Africa for palliative care services. There is a need to develop strong and sustainable pharmaceutical systems to enhance the proper management of palliative care medicines, some of which are controlled. One approach to addressing these needs is the use of mobile technology to support data capture, storage and retrieval. Utilizing mobile technology in healthcare (mHealth) has recently been highlighted as an approach to enhancing palliative care services but development is at an early stage.Entities:
Mesh:
Year: 2016 PMID: 26895882 PMCID: PMC4759774 DOI: 10.1186/s12904-016-0092-9
Source DB: PubMed Journal: BMC Palliat Care ISSN: 1472-684X Impact factor: 3.234
Fig. 1Overview of existing flow of information in service alongside enhanced model utilizing mHealth to consolidate multiple paper-based activities
Fig. 2Examples of application interface with (a) view of dashboard as seen by health professionals: tabs are available for entering patient and pharmacy data, and (b) an example of inventory page in the application to highlight soon-to-expire medication
Indicators to assess strengthening of palliative care pharmaceutical application
| Metric | Outcome | Measure |
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| Completeness of data capture |
| Proportion of patient entries to application with sociodemographic data, diagnosis, complaints, symptoms and contact details |
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| Documentation of prescriptions to accompany patient records | |
| Time efficiency |
| Time elapsed from patient arrival at the information or triage centre to when a patient file is located and referred to the next level to start the care process |
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| Time required to take stock, calculate consumption rates and then determine quantities to order | |
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| Time spent on establishing stock arrival and dispensing, the value of existing stock and variances between physical stock count and stock card value | |
| Medicines stock and waste management |
| Frequency of emergency orders logged on application |
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| Proportion of stock that expired within a quarter from total stock |
Overview of recorded consultations and prescriptions at both sites
| Urban hospice | Rural clinic | |
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| Time period of data collection | 197 days (Sep 14 – Mar 15) | 297 days (Aug 14 – May 15) |
| Number of patients recorded on application |
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| Number of consultations recorded |
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| Median initial pain score (1 - 5) | 3 ( | 3 ( |
| Mobile phone contact details recorded |
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| Median number of prescriptions per consultation |
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| Total morphine prescriptions (% of all consultations) |
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| Morphine (oral or MST) only |
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| Morphine and laxative |
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| Proportion of all morphine prescriptions with laxative | 76.87 % | 57.69 % |
| Proportion of all morphine prescriptions without laxative | 23.13 % | 42.31 % |
Fig. 3Graphs to show increased cumulative prescriptions over duration of study
Before and after performance on selected indicators
| Urban hospice | Rural hospital | |
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| Time Efficiency | ||
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| Baseline | 30 min | 45 min |
| 6 months’ post-implementation | 5 min | 5 min |
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| Baseline | 7 days | 10 days |
| 6 months’ post-implementation | 30 min | 1 h |
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| Baseline | 14 days | 5 days |
| 6 months’ post-implementation | 1 day | 2 days |
| Medicine stock and waste management | ||
| Urban hospice | Rural hospital | |
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| Baseline | 3 per quarter | 2 per quarter |
| Post-implementation | 1 per quarter | 1 per quarter |
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| Baseline | 3 % | 58 % |
| Post-implementation | 0.5 % | 0 % |