Evaluation of the implementation of an automated system for the detection of diabetic retinopathy (SARD) in Santa Rosa Hospital, Lima, Peru.
Universidad Nacional Mayor de San Marcos Facultad de Medicina San Fern
Telehealth Unity of San Marcos' National University – 755 Grau Avenue, Lima, Peru, 15001
Javier Silva
Javier Silva
Required: English, Accepted: Spanish
4 weeks
Cities/Months Jan Feb Mar Apr May Jun Jul Augt Sep Oct Nov Dec
Yes Yes Yes Yes No No No No No No No No
Type of Research Project
- Clinical Project without Laboratory work
What is the background of the project?
Worldwide, the development and implementation of systems for the automated detection of Diabetic retinopathy based on image processing by artificial intelligence has shown to facilitate and increase the coverage of timely diagnosis of this disease. On the other hand, the success of the implementation of this type of technology depends on the perceptions and acceptability of the personnel in charge of its implementation and use within health facilities. In Peru, the Santa Rosa Hospital has started the process of implementing an automated system for the detection of Diabetic retinopathy (SARD). In this context, this study aims to evaluate aspects related to its implementation in this hospital.
What is the aim of the project?
To evaluate the perception of health personnel and the influence on screening and care of the implementation of an automated system for the detection of diabetic retinopathy (SARD) in a public health facility in Peru, using in-depth interviews to key players.
What techniques and methods are used?
Procedures 1. Enrollment of participants With the authorization of Hospital Santa Rosa, the personnel involved in the use and management of the SARD will be invited to participate in this study. Their participation will include providing information on aspects related to the implementation of this system through in-depth interviews that will be carried out. For this, an informed consent will be applied, which must be signed before starting their participation in the study. 2. Data collection 2.1. For the collection of quantitative data, the endocrinology service will be requested to access the medical records of patients seen in outpatient consultation to collect information about the time of care and the level of compliance with the screening, before and after the implementation of the SARD. This information will be manually recorded in a file designed by the study researchers. 2.2. For the compilation of qualitative data, in-depth interviews will be coordinated with the health personnel who use the SARD for diabetic retinopathy screening at the Santa Rosa Hospital and with the management personnel in charge of authorizing and supervising the proper use of this system. 3. Analysis plan 3.1. Quantitative analysis will be performed using Stata 14 software (StataCorp, College Station, Tc, USA). The quantitative data will be summarized by means and standard deviation or by means and interquartile deviation according to the distribution of the data. For its part, the categorical data will be summarized by frequencies and percentages. 3.2. For the qualitative analysis, the interviews will be analyzed using the AtlasTi v 8.0 software. To do this, first the content of the interviews will be recorded and then this information will be coded to identify segments of the speech related to the variables to be evaluated in order to recognize possible thought patterns of health personnel regarding the perception of ease of use and the utility of the SDAR as a screening instrument for diabetic retinopathy in patients at Hospital Santa Rosa.
What is the role of the student?
- The student will mainly observe
- The tasks will be done under supervision
What are the tasks expected to be accomplished by the student?
- The student will participate in the participant’s enrollment, applying informed consent and support in conducting in-depth interviews to health professionals who use an automated system for the detection of diabetic retinopathy (SARD) in Santa Rosa Hospital with a guideline elaborated by the researchers. - Transcription of the interviews carried out in a certain amount of time designated by the researcher. - Registration of the data of the medical records in the virtual compilation file prepared by the researchers.
Will there be any theoretical teaching provided (preliminary readings, lectures, courses, seminars etc)
There will be 3 classes that will be taught by the Association for the development of student research in health sciences of San Marco’s University: - Research in telehealth - Introduction to qualitative research - Informed consent and in-depth interviews
What is expected from the student at the end of the research exchange? What will be the general outcome of the student?
- The student will prepare a poster
- The student will prepare a scientific report
What skills are required of the student? Is there any special knowledge or a certain level of studies needed?
Good scientific writing skills: research projects and scientific papers.
Are there any legal limitations in the student’s involvement
Type of students accepted
This project accepts:
- Medical students
- 1. Villena JE; Yoshiyama CA; Sánchez JE; Hilario NL; Merin LM. Prevalence of diabetic retinopathy in peruvian patients with type 2 diabetes: Results of a hospital-based retinal telescreening program. Rev Panam Salud Publica/Pan Am J Public Heal. 2011 Nov;30(5):408–14.
- 2. Mookiah MRK; Acharya UR; Chua CK; Lim CM; Ng EYK; Laude A. Computer-aided diagnosis of diabetic retinopathy: A review. Vol. 43; Computers in Biology and Medicine. Pergamon; 2013. p. 2136–55.
- 3. Padhy S; Takkar B; Chawla R; Kumar A. Artificial intelligence in diabetic retinopathy: A natural step to the future. Vol. 67; Indian Journal of Ophthalmology. Wolters Kluwer Medknow Publications; 2019. p. 1004–9.