scholarly journals Using pharmacy information in a decision support system to improve efficient delivery of primary health care. A study focusing on the Swedish national drug register

2009 ◽  
Vol 9 (S1) ◽  
Author(s):  
A Johansson ◽  
M Heurgren ◽  
K Kinder Siemens
2013 ◽  
Vol 04 (01) ◽  
pp. 25-36 ◽  
Author(s):  
P. Rautenbach ◽  
N. Mbananga ◽  
T. Mashamba ◽  
H. Kwinda ◽  
V. Horner

Summary Background: There are problems of quality in maternity services at primary health care level in South Africa. Many of these problems can be traced to non-adherence to the maternity care guidelines and lack of tools to support clinic staff and managers in their roles. Objective: The aim of this research was to investigate the utility of e-health (computerized) decision support systems at addressing the problem of compliance of health workers to the maternity care guidelines at primary health care in South Africa. At present there are no documented studies on e-health clinical decision support systems for primary health care in South Africa, though clinical decision support systems for primary health care are listed as part of the e-health strategy of the National Department of Health. Methods: An e-health decision support system named the Bacis (Basic Antenatal Care In-formation System) Program was developed, then implemented and evaluated at a primary health care clinic. The duration of the study was two years: this includes development, implementation and evaluation. Results and Conclusion: There was an overall improvement in compliance from 85.1 % to 89.3%. This result was not statistically significant. However when results were stratified into specific categories, the Bacis Program showed statistically significant improvement in compliance over the checklist system in three out of nine important categories. These are compliance at booking, patients younger than 18 years and patients booking after week 20. Further, insights and experience were also gained on development and implementation of clinical information systems at resource strained environments such as primary health care in South Africa. These results, insights and experience are invaluable for the implementation of the proposed e-health strategy in South Africa. Citation: Horner V, Rautenbach P, Mbanang N, Mashamba T, Kwinda H. An e-health decision support system for improving compliance of health workers to the maternity care protocols in South Africa. Appl Clin Inf 2013; 4: 25–36http://dx.doi.org/10.4338/ACI-2012-10-RA-0044


Author(s):  
Annica Lagerin ◽  
Lena Törnkvist ◽  
Johan Fastbom ◽  
Lena Lundh

Abstract Aim: The present study aimed to describe the experience of district nurses (DNs) in using a clinical decision support system (CDSS) and the safe medication assessment (SMA) tool during patient visits to elderly care units at primary health care centres. Background: In Swedish primary health care, general practitioners (GPs) prescribe and have the responsibility to regularly review older adults’ medications, while DN (nurses specialised in primary health care) play an important role in assessing older adults’ ability to manage their medications, detecting potential drug-related problems and communicating with patients and GPs about such problems. In a previous feasibility study, we found that DNs who use a combination of a CDSS and the SMA tool identified numerous potentially harmful or dangerous factors and took a number of nursing care actions to improve the safety and quality of patients’ medication use. In telephone interviews, patients indicated that they were positive towards the assessment and interventions. Methods: Individual interviews with seven DNs who worked at six different primary health care centres in Region Stockholm were carried out in 2018. In 2019, an additional group interview was conducted with two of the seven DNs so they could discuss and comment on preliminary findings. Qualitative content analysis was used to analyse the interview transcripts. Findings: Using the tools, the DNs could have a natural conversation about medication use with older adults. They could get a clear picture of the older adults’ medication use and thus obtain information that could facilitate collaboration with GPs about this important component of health care for older adults. However, for the tools to be used in clinical practice, some barriers would have to be overcome, such as the time-consuming nature of using the tools and the lack of established routines for interprofessional collaboration regarding medication discussions.


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