Calcium Oxalate Urolithiasis, Kidney Calculi, Nephrolithiasis, Patient Compliance
Conditions
Keywords
kidney stone, calcium oxalate stone, patient compliance, nephrolithiasis
Brief summary
Calcium oxalate stone, the most common type worldwide, has a recurrence rate of around 50% in ten years. Therefore, identifying the underlying pathophysiological aspects via metabolic evaluation and suggestions for medical & dietary prophylaxis in calcium stone patients is of upmost importance. However, one of the greatest problem with metabolic evaluation and subsequent therapeutic advices is the patient compliance. Therefore, it is important to identify factors related to patient compliance for metabolic evaluation and medical & dietary prophylaxis in calcium stone patients
Detailed description
Nephrolithiasis is an important health problem that can deteriorate the renal functions in long term and affects the patients' quality of life. One of the major problems about renal stones is the high rate of recurrence. Calcium oxalate stone, the most common type worldwide, has a recurrence rate of around 50% in ten years. Therefore, identifying the underlying pathophysiological aspects via metabolic evaluation and suggestions for medical & dietary prophylaxis in calcium stone patients is of upmost importance. However, one of the greatest problem with metabolic evaluation and subsequent therapeutic advices is the patient compliance. In the previous studies, even in case of a dedicated stone clinic, the drop out rate for preventive measures were over 37% per year. The patients' non-compliance may be related to a number of factors associated with the stone clinic, demographic characteristics of the patients, past medical history of the patients, and even the recommended tests and the therapeutic advices. Therefore, it is important to identify factors related to patient compliance for metabolic evaluation and medical & dietary prophylaxis in calcium stone patients Methods: Parameters to be recorded Age Gender Level of education * of stone episodes * of surgical intervention Type of surgical intervention History of SWL Concomitant diseases Other medications Type of metabolic evaluation (24 hour urine, spot morning urine, serum etc.) Drug for medical prophylaxis Dosage of medication (bid/tid, etc.) Side effects Dietary recommendations Compliance to metabolic evaluation Compliance to medical treatment Statistics: Patients will be grouped based on: compliance to metabolic evaluation compliance to medical treatment The parameters listed above will be compared between the groups with univariate analysis (logistic regression).
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Diagnosis of calcium oxalate kidney stones * Suggested metabolic evaluation for kidney stone * Suggested dietary and/or medical treatment for kidney stone * Accepted participation in the study
Exclusion criteria
* Age less than 18 * Mental disorders
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| patient compliance rate of metabolic evaluation | 30 days | the rate of the patients undergo metabolic evaluation tests will be determined |
| patient compliance rate of dietary suggestions | 6 months | the rate of the patients that follow the dietary suggestions will be determined |
| patient compliance rate of drug treatments | 6 months | the rate of the patients that have the prescribed drugs will be determined |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| factors associated with non-compliance to metabolic evaluation | 3 months | the factors that are related to poor patient compliance to metabolic evaluation will be determined in multivariate analysis |
| factors associated with non-compliance to dietary suggestions | 3 months | the factors that are related to poor patient compliance to dietary suggestions will be determined in multivariate analysis |
| factors associated with non-compliance to medications | 3 months | the factors that are related to poor patient compliance to medications will be determined in multivariate analysis |