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1.
JSLS ; 26(3)2022.
Article in English | MEDLINE | ID: mdl-36212184

ABSTRACT

Background and Objectives: The aim of this study was to analyze indirect costs of vaginal and laparoscopic routes for hysterectomy to determine whether this makes a difference in total costs when considering route for surgery. Methods: A five-year observational retrospective cohort study was conducted in an academic tertiary care center. A total of 517 patients scheduled for total laparoscopic hysterectomy (n = 137) and vaginal hysterectomy (n = 380) for benign conditions between January 1, 2008 and December 31, 2012 meeting inclusion criteria were reviewed. Results: Indirect costs were higher in the vaginal hysterectomy group compared to the laparoscopic hysterectomy group (mean cost €3,239.86 vs. €1,371.58; cost increase of €1,868.28; p < .001). Indirect costs due to lost-work-productivity were the most important, represented by 97.7% in the vaginal group and 93.6% in the laparoscopic group. Conclusion: Among women undergoing hysterectomy for benign disease, laparoscopic hysterectomy appears to be superior to vaginal hysterectomy when indirect costs are analyzed in a five-year temporal horizon. Laparoscopic hysterectomy is a good alternative to vaginal hysterectomy when technically feasible as both present comparable advantages. The surgical approach to hysterectomy should be decided in light of the relative benefits and hazards, which will depend on clinical circumstances and surgical expertise.


Subject(s)
Hysterectomy , Laparoscopy , Delivery of Health Care , Female , Humans , Hysterectomy, Vaginal , Retrospective Studies
2.
Stud Health Technol Inform ; 264: 704-708, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438015

ABSTRACT

Clinical Decision Support System (CDSS) has been implemented to support physicians about the medical prescription of genetic testing. CDSS is based on open source software. A CDSS for prescribing these genetic tests in BRCA1 and BRCA2 and preventing gynecological cancer risks has been designed and performed in the 'Virgen del Rocío' University Hospital. Clinical evidence demonstrates that BRCA1 and BRCA2 mutations can develop gynecological cancer, but genetic testing has a high cost to the healthcare system. The developed technological architecture integrates open source tools like Mirth Connect and OpenClinica. The system allows general practitioners and gynecologists to classify patients as low risk (they do not require a specific treatment) or high risk (they should be attended by the Genetic Council), According to their genetic risk, recommending the prescription of genetic tests. The aim main of this paper is the evaluation of the developed CDSS, getting positive outcomes.


Subject(s)
Breast Neoplasms , Decision Support Systems, Clinical , Genital Neoplasms, Female , Female , Genetic Testing , Humans , Prescriptions , Risk Factors , Software
3.
Stud Health Technol Inform ; 235: 96-100, 2017.
Article in English | MEDLINE | ID: mdl-28423763

ABSTRACT

Clinical evidence demonstrates that BRCA 1 and BRCA2 mutations can develop a gynecological cancer but genetic testing has a high cost to the healthcare system. Besides, several studies in the literature indicate that performing these genetic tests to the population is not cost-efficient. Currently, our physicians do not have a system to provide them the support for prescribing genetic tests. A Decision Support System for prescribing these genetic tests in BRCA1 and BRCA2 and preventing gynecological cancer risks has been designed, developed and deployed in the Virgen del Rocío University Hospital (VRUH). The technological architecture integrates a set of open source tools like Mirth Connect, OpenClinica, OpenCDS, and tranSMART in addition to several interoperability standards. The system allows general practitioners and gynecologists to classify patients as low risk (they do not require a specific treatment) or high risk (they should be attended by the Genetic Council). On the other hand, by means of this system we are also able to standardize criteria among professionals to prescribe these genetic tests. Finally, this system will also contribute to improve the assistance for this kind of patients.


Subject(s)
Breast Neoplasms/diagnosis , Decision Support Systems, Clinical , Genetic Testing , Genital Neoplasms, Female/diagnosis , Breast Neoplasms/genetics , Female , Genes, BRCA1 , Genes, BRCA2 , Genetic Predisposition to Disease , Genital Neoplasms, Female/genetics , Humans , Mutation , Risk Factors
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