Title |
Development of ClickClinica: a novel smartphone application to generate real-time global disease surveillance and clinical practice data
|
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Published in |
BMC Medical Informatics and Decision Making, July 2013
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DOI | 10.1186/1472-6947-13-70 |
Pubmed ID | |
Authors |
Benedict Daniel Michael, David Geleta |
Abstract |
Identification and tracking of important communicable diseases is pivotal to our understanding of the geographical distribution of disease, the emergence and spread of novel and resistant infections, and are of particular importance for public health policy planning. Moreover, understanding of current clinical practice norms is essential to audit clinical care, identify areas of concern, and develop interventions to improve care quality.However, there are several barriers to obtaining these research data. For example current disease surveillance mechanisms make it difficult for the busy doctor to know which diseases to notify, to whom and how, and are also time consuming. Consequently, many cases go un-notified. In addition assessments of current clinical practice are typically limited to small retrospective audits in individual hospitals.Therefore, we developed a free smartphone application to try to increase the identification of major infectious diseases and other acute medical presentations and improve our understanding of clinical practice. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 25% |
Italy | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Practitioners (doctors, other healthcare professionals) | 4 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 139 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 23 | 17% |
Student > Ph. D. Student | 20 | 14% |
Researcher | 19 | 14% |
Student > Bachelor | 10 | 7% |
Professor | 9 | 6% |
Other | 25 | 18% |
Unknown | 33 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 35 | 25% |
Computer Science | 16 | 12% |
Nursing and Health Professions | 11 | 8% |
Agricultural and Biological Sciences | 9 | 6% |
Social Sciences | 7 | 5% |
Other | 25 | 18% |
Unknown | 36 | 26% |