Limits...
Building a web-based tool to support clinical decisions in the control of Chlamydia trachomatis and Neisseria gonorrhoeae infections.

Zhao K, Qiu F, Chen G - BMC Proc (2013)

Bottom Line: This application takes population groups, prevalence rates, parameters for available screening assays and treatment regimens (costs, sensitivity, and specificity), as well as budget limits as inputs.Its output suggests optimal screening and treatment strategies for selected at-risk groups, commensurate with the clinic's budget allocation.Development of this tool illustrates how a clinical informatics application based on rigorous mathematics might have a significant impact on real-world clinical issues.

View Article: PubMed Central - HTML - PubMed

ABSTRACT
Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (GC) are the agents of two common, sexually transmitted diseases afflicting women in the United States (http://www.cdc.gov). We designed a novel web-based application that offers simple recommendations to help optimize medical outcomes with CT and GC prevention and control programs. This application takes population groups, prevalence rates, parameters for available screening assays and treatment regimens (costs, sensitivity, and specificity), as well as budget limits as inputs. Its output suggests optimal screening and treatment strategies for selected at-risk groups, commensurate with the clinic's budget allocation. Development of this tool illustrates how a clinical informatics application based on rigorous mathematics might have a significant impact on real-world clinical issues.

No MeSH data available.


Related in: MedlinePlus

User may tailor his/her model by adding and deleting the screeningassays.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
getmorefigures.php?uid=PMC4109704&req=5

Figure 3: User may tailor his/her model by adding and deleting the screeningassays.

Mentions: To achieve the goal of calculating an optimal strategy automatically, the mathematicalmodel is successfully implemented by the new web-based tool (Figure 1b and Figure 2). This web-tool has five main pages:population groups, infection rates, co-infection rates, screening setting and treatmentsetting. If a clinical manager has difficulties, there are also help windows availableto provide tutorial information. These pages follow each other in sequence as a clinicalmanager submits his/her local parameters. For example, the mathematical variable is configured within the "population group" page, wherevisiting patients are initially divided into 12 groups reflecting different populationsat local clinics (Figure 2c). The corresponding local prevalencerate could be specified in the "infection rate" page (Figure 2a).The "co-infection rate" page specifies how likely that the CT patients in the populationalso have GC. The other two variables and control the decision on screening assays and treatmentregimens, and are specified in the "screening setting" page (Figure 3) and "treatment setting" page (Figure 2b),correspondingly.


Building a web-based tool to support clinical decisions in the control of Chlamydia trachomatis and Neisseria gonorrhoeae infections.

Zhao K, Qiu F, Chen G - BMC Proc (2013)

User may tailor his/her model by adding and deleting the screeningassays.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4109704&req=5

Figure 3: User may tailor his/her model by adding and deleting the screeningassays.
Mentions: To achieve the goal of calculating an optimal strategy automatically, the mathematicalmodel is successfully implemented by the new web-based tool (Figure 1b and Figure 2). This web-tool has five main pages:population groups, infection rates, co-infection rates, screening setting and treatmentsetting. If a clinical manager has difficulties, there are also help windows availableto provide tutorial information. These pages follow each other in sequence as a clinicalmanager submits his/her local parameters. For example, the mathematical variable is configured within the "population group" page, wherevisiting patients are initially divided into 12 groups reflecting different populationsat local clinics (Figure 2c). The corresponding local prevalencerate could be specified in the "infection rate" page (Figure 2a).The "co-infection rate" page specifies how likely that the CT patients in the populationalso have GC. The other two variables and control the decision on screening assays and treatmentregimens, and are specified in the "screening setting" page (Figure 3) and "treatment setting" page (Figure 2b),correspondingly.

Bottom Line: This application takes population groups, prevalence rates, parameters for available screening assays and treatment regimens (costs, sensitivity, and specificity), as well as budget limits as inputs.Its output suggests optimal screening and treatment strategies for selected at-risk groups, commensurate with the clinic's budget allocation.Development of this tool illustrates how a clinical informatics application based on rigorous mathematics might have a significant impact on real-world clinical issues.

View Article: PubMed Central - HTML - PubMed

ABSTRACT
Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (GC) are the agents of two common, sexually transmitted diseases afflicting women in the United States (http://www.cdc.gov). We designed a novel web-based application that offers simple recommendations to help optimize medical outcomes with CT and GC prevention and control programs. This application takes population groups, prevalence rates, parameters for available screening assays and treatment regimens (costs, sensitivity, and specificity), as well as budget limits as inputs. Its output suggests optimal screening and treatment strategies for selected at-risk groups, commensurate with the clinic's budget allocation. Development of this tool illustrates how a clinical informatics application based on rigorous mathematics might have a significant impact on real-world clinical issues.

No MeSH data available.


Related in: MedlinePlus