| Literature DB >> 25158806 |
Jessica Nilseng, Lars L Gustafsson, Amos Nungu, Pia Bastholm-Rahmner, Dennis Mazali, Björn Pehrson, Jaran Eriksen1.
Abstract
BACKGROUND: In resource-poor countries access to essential medicines, suboptimal prescribing and use of medicines are major problems. Health workers lack updated medical information and treatment support. Information and Communication Technology (ICT) could help tackle this. The impact of ICT on health systems in resource-poor countries is likely to be significant and transform the practice of medicine just as in high-income countries. However, research for finding the best way of doing this is needed. We aimed to assess current approaches to and use of ICT among health workers in two rural districts of Tanzania in relation to the current drug distribution practices, drug stock and continuing medical information (CME), as well as assessing the feasibility of using ICT to improve ordering and use of medicines.Entities:
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Year: 2014 PMID: 25158806 PMCID: PMC4164118 DOI: 10.1186/1472-6947-14-78
Source DB: PubMed Journal: BMC Med Inform Decis Mak ISSN: 1472-6947 Impact factor: 2.796
Figure 1Screenshot of drug management application.
Sociodemographics of the interviewees (n = 20) including age, gender, employment, workplace
| Location of participants | Serengeti district | 10 |
| Bunda district | 10 | |
| Age in years (span) | Median (range) | 33,5 (23–57) |
| Gender | Male | 16 (80%) |
| Female | 4 (20%) | |
| Employment/Education | Nurse | 3 |
| Medial assistant | 2 | |
| Clinical officer | 6 | |
| Assistant medical officer, Medical officer, Clinical dentist | 5 | |
| Pharmacist | 4 | |
| Type of workplace | Hospital | 9 |
| Health centre | 4 | |
| Dispensary | 7 | |
| Time on current position | <1 year | 5 |
| 1-5 years | 12 | |
| >5 years | 3 |
Abbreviations: MA Medical assistant, CO Clinical Officer, AMO Advanced Medical Officer, MO Medical Officer.
Figure 2Stock-outs of medicines. This graph presents how often the participants experienced stock-outs of at least one 1st line treatment at their health facility (n = 20).
Figure 3Availability of essential medicines. This figure shows how often the informants stated to have access to essential 1st or 2nd line treatment for specified diseases/conditions (100% = 20 participants).
Figure 4Computer use and skill. Figure describing how often the participant used a computer (left) and how they described their computer proficiency (n = 20).
Figure 5Use of different ICT tools among health care workers in Bunda and Serengeti districts (n = 20).
Figure 6Purpose of use of computers and mobile phones. Purpose of use of computers and mobile phones as stated by informants (more than one option possible) (n = 20).