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The working hypothesis that is intended to be evaluated with this study is that the use of mobile health applications and telemedicine in the follow-up of patients affected by endometriosis offers greater satisfaction and improves the quality of care.
The patients included in the control group will be followed up according to the center's usual care protocol. Those patients included in the intervention group will be monitored through telemedicine tools including mobile health.
To evaluate the satisfaction of the application of a telemedicine program (mobile health and eConsulta) in the follow-up of the patient affected by endometriosis.
Full description
Endometriosis is a chronic inflammatory disease that affects women where the endometrial tissue is located outside its normal location, predominantly in the pelvis, including the ovaries, pelvic ligaments and peritoneal surfaces, as well as the bladder or intestine. The presentation of the disease is diverse and ranges from superficial peritoneal lesions, ovarian endometriotic cysts, to nodules that infiltrate the tissues >5mm (deep endometriosis), all accompanied by fibrotic processes and pelvic adhesions.
The clinic of this entity is characterized by cyclical pelvic pain coinciding with menstruation, which can be accompanied by dyspareunia, dyschezia, dysuria, hematuria or rectal bleeding. In addition to the serious impact on their quality of life, these patients have much higher rates of infertility compared to the general population.
The incidence of endometriosis in the general population is difficult to quantify due to the fact that the definitive diagnosis is achieved after the direct visualization of lesions at the time of surgery, and after its anatomo-pathological study. Despite this, it is estimated that this disease affects 10% of the general population, reaching figures of 35% in symptomatic patients.
The non-specificity of the symptoms causes a diagnostic delay of approximately 8 years from the patient's first consultation, causing this disease to be detected in more advanced stages. An early diagnosis, quick access to specialized units and correct follow-up are essential to improve the quality of life of patients affected by endometriosis.
The treatments currently available for endometriosis are divided into analgesic treatments for pain control, hormonal treatments to stop the progression of the disease, and surgical treatments in patients refractory to medical treatments. Due to the fact that it is a chronic disease with the possibility of progression, the patient may require long periods of medical treatment. The side effects associated with these, the variation in response to these and the possibility of needing surgery, require a regular follow-up of these patients in the medical consultation(7,8).
Due to the need to take an anamnesis, complete physical examination and a pelvic ultrasound for the initial evaluation of the patient with suspected endometriosis, the first visit should always be done in person. Once the case has been identified and medical treatment instituted, the second visits are limited to a follow-up to assess symptoms, control adherence to treatment and the need to modify therapeutic guidelines. These follow-up visits do not require a mandatory presence and can be replaced by remote visits through information and communication technologies (ICTs).
The working hypothesis that is intended to be evaluated with this study is that the redefinition of the current care route for the patient affected by endometriosis through the incorporation of new interdisciplinary digital health tools will improve the degree of satisfaction of the users involved (patients and professionals healthcare), reduce the consumption of healthcare resources and improve the clinical management of patients.
Main objective To evaluate the satisfaction of patients affected by endometriosis after the incorporation of a follow-up program based on telemedicine (mobile health and eConsulta) by means of a randomized, longitudinal, prospective experimental, interventional clinical trial.
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60 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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