The digital pen and paper technology: implementation and use in an existing clinical information system

Despont-Gros, Christelle; C, Bœuf; Geissbühler, Antoine; Lovis, Christian

doi:10.4414/smi.21.00101

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…The concept of collaborative efforts in managing infectious diseases in Tanzania and other southern African countries is not new. The emergence of innovative and appropriate technologies, approaches and tools for participatory epidemiology and disease surveillance (Hussain et al 2005;Jost et al 2007), such as the use of mobile technologies (Aanensen et al 2009;Despont-Gros et al 2005) is likely to mean that infectious disease surveillance can be improved in future. This will contribute to better public health and economic and social stability in Africa.…”

Section: Discussionmentioning

confidence: 99%

Towards One Health disease surveillance: The Southern African Centre for Infectious Disease Surveillance approach

Karimuribo

Sayalel

Beda

et al. 2012

Onderstepoort J Vet Res

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Africa has the highest burden of infectious diseases in the world and yet the least capacity for its risk management. It has therefore become increasingly important to search for 'fit-for- purpose' approaches to infectious disease surveillance and thereby targeted disease control. The fact that the majority of human infectious diseases are originally of animal origin means we have to consider One Health (OH) approaches which require inter-sectoral collaboration for custom-made infectious disease surveillance in the endemic settings of Africa. A baseline survey was conducted to assess the current status and performance of human and animal health surveillance systems and subsequently a strategy towards OH surveillance system was developed. The strategy focused on assessing the combination of participatory epidemiological approaches and the deployment of mobile technologies to enhance the effectiveness of disease alerts and surveillance at the point of occurrence, which often lies in remote areas. We selected three study sites, namely the Ngorongoro, Kagera River basin and Zambezi River basin ecosystems. We have piloted and introduced the next-generation Android mobile phones running the EpiCollect application developed by Imperial College to aid geo-spatial and clinical data capture and transmission of this data from the field to the remote Information Technology (IT) servers at the research hubs for storage, analysis, feedback and reporting. We expect that the combination of participatory epidemiology and technology will significantly improve OH disease surveillance in southern Africa.

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Section: Discussionmentioning

confidence: 99%

Towards One Health disease surveillance: The Southern African Centre for Infectious Disease Surveillance approach

Karimuribo

Sayalel

Beda

et al. 2012

Onderstepoort J Vet Res

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“…It indicates that care providers' acceptance to e-Partograph were lower as of the envisioned penetration. It also known that in a hospital and clinical settings, the deployment of new digital data recording technologies often faces poor acceptance by clinicians [27].…”

Section: Discussionmentioning

confidence: 99%

Willingness to Use Mobile based e-Partograph and Associated Factors among Care Providers in North Gondar Zone, Northwest Ethiopia

Endehabtu

Tadesse

Gelagay

et al. 2019

OJPHI

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Background: The proper use of Partograph supports to capture key maternal and fetal data. Paper-based Partograph are prone to error, incompleteness, delayed decisions and loss of clients’ information. Electronic (e-Partograph) enables to easily retain and retrieve client data to ensure quality of care. Mobile technologies found an opportunity for resource-limited countries to improve access and quality of health care. Evidences were lacking on end users’ acceptance to e-Partograph.Objective: This study aimed to assess obstetric care providers’ willingness to use mobile based e-Partograph and its associated factors.Methods: Institutional based cross-sectional study was conducted from December 30, 2016 to January 21, 2017. A total 466 obstetric care providers were selected using multistage sampling technique in North Gondar Zone, Northwest Ethiopia. A structured self-administered questionnaire was used to collect the data. The data were entered in to Epi info version 7 and analyzed by using SPSS version 20. Cronbach’s Alpha test was calculated to evaluate the reliability of data. A multivariable logistic regression analysis were used to identify factors associated with dependent variable. Adjusted odds ratio with 95%CI was used to determine the presence of association.Results: The study found that 460(99.6%) of care providers owned mobile phone. Smartphone owners accounted only 102(22%). Of them, 205(46%) were willing to use mobile-phone for e-Partograph. Care providers aged >30 years (AOR=2.85, 95% C.I: 1.34-6.05), medical doctors and higher level clinicians (AOR=8.35, 95% C.I: 2.07-33.63), Health Center (AOR=4.41, 95% C.I:.10-9.26), favorable attitude towards Partograph (AOR=2.76, 95% C.I: 1.49-5.09) and related in-service trainings (AOR=7.63, 95% C.I: 3.96-14.69) were enabling factors for willingness to use mobile phone.Conclusions: Almost all obstetric care providers had access to mobile phone, however; smartphone ownership is still low. Willingness to use mobile-phone for e-Partograph was low. Younger aged, lower level clinicians, Hospital based workers, unfavorable attitude on Partograph and lack of in-service trainings were main factors for non-willingness. Hence awareness creation on partograph use and digital capacity building are crucial for effective e-partograph management. Key words: e-Partograph, Ethiopia, Obstetric care provider, Willingness

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“…A transfer from analogous data to digital data normally requires an additional step after patient contact, which is the manual typing of data into a local computer system, or web-based front-end of a client, or server-driven hospital information system, or a registry. This additional step has a negative effect on data quality, performance and process costs, as it is both time consuming and additional effort for the data recorder, without any instantaneously recognizable advantages [15]. It also introduces an additional possibility for data errors.…”

Section: Introductionmentioning

confidence: 99%

“…On average, the approval time was less than 2 minutes. Data quality for core data was greater than 95% and superior to handwritten documentation, and both checkbox and numerical data fields were correctly recorded at 99.8% [15-18].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Digital Documentation Speed and Sequence Using Digital Paper and Pen Technology During the Refugee Crisis in Europe: Content Analysis

Kehe

Girgensohn

Swoboda

et al. 2019

JMIR Mhealth Uhealth

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Background The Syria crisis has forced more than 4 million people to leave their homeland. As a result, in 2016, an overwhelming number of refugees reached Germany. In response to this, it was of utmost importance to set up refugee camps and to provide humanitarian aid, but a health surveillance system was also implemented in order to obtain rapid information about emerging diseases. Objective The present study describes the effects of using digital paper and pen (DPP) technology on the speed, sequence, and behavior of epidemiological documentation in a refugee camp. Methods DPP technology was used to examine documentation speed, sequence, and behavior. The data log of the digital pens used to fill in the documentation was analyzed, and each pen stroke in a field was recorded using a timestamp. Documentation time was the difference between first and last stroke on the paper, which includes clinical examination and translation. Results For three months, 495 data sets were recorded. After corrections had been made, 421 data sets were considered valid and subjected to further analysis. The median documentation time was 41:41 min (interquartile range 29:54 min; mean 45:02 min; SD 22:28 min). The documentation of vital signs ended up having the strongest effect on the overall time of documentation. Furthermore, filling in the free-text field clinical findings or therapy or measures required the most time (mean 16:49 min; SD 20:32 min). Analysis of the documentation sequence revealed that the final step of coding the diagnosis was a time-consuming step that took place once the form had been completed. Conclusions We concluded that medical documentation using DPP technology leads to both an increase in documentation speed and data quality through the compliance of the data recorders who regard the tool to be convenient in everyday routine. Further analysis of more data sets will allow optimization of the documentation form used. Thus, DPP technology is an effective tool for the medical documentation process in refugee camps.

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The digital pen and paper technology: implementation and use in an existing clinical information system

Cited by 6 publications

References 5 publications

Towards One Health disease surveillance: The Southern African Centre for Infectious Disease Surveillance approach

Towards One Health disease surveillance: The Southern African Centre for Infectious Disease Surveillance approach

Willingness to Use Mobile based e-Partograph and Associated Factors among Care Providers in North Gondar Zone, Northwest Ethiopia

Analysis of Digital Documentation Speed and Sequence Using Digital Paper and Pen Technology During the Refugee Crisis in Europe: Content Analysis

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