Patients Attending Shared Medical Appointments for Metabolic Stone Prevention Have Decreased Stone Risk Factors

Abstract

Patients from SMAs reduced their stone recurrence risk and compared favorably with patients from IPAs. Contributing factors may include shorter time from stone event to appointment and more standardized education for patients attending SMAs.

Stone diet and dietary change: understanding determinants for dietary change behaviour in patients following urinary stones

“…Comprehensive information from HCPs with a reliable clinical background, such as urologists and dietitians, can guide patients to undergo dietary change to achieve positive clinical outcomes by reducing the risk factors of stone formation. 48,49 Most of the participants were confident of making dietary changes related to water intake. The confidence could stem from the repeated basic preventative measures given by HCPs during follow-up involving water intake.…”

“…The expertise of HCPs influenced patients' perception of the effectiveness of diet prevention strategies and motivated them to establish a healthy diet change. Comprehensive information from HCPs with a reliable clinical background, such as urologists and dietitians, can guide patients to undergo dietary change to achieve positive clinical outcomes by reducing the risk factors of stone formation 48,49 . Most of the participants were confident of making dietary changes related to water intake.…”

The Effects of Session Standardization and Template Optimization on Improving Access to High-Demand Pediatric Subspecialty Care

“…Various health care delivery models have been studied in the literature suggesting solutions to access challenges. Standardizing appointment slot lengths ( Huang, 2016a ), analyzing no-show rates with predictive overbooking ( Creps & Lotfi, 2017 ; Huang & Hanauer, 2014 , 2016 ; Reid et al, 2015 ), reviewing scheduling methods including open access scheduling ( Ansell et al, 2017 ; Cruz et al, 2018 ; Kopach et al, 2007 ; O'Connor et al, 2006 ; Stubbs et al, 2012 ), scheduling groups ( Huang, 2016b ), shared appointments ( Edelman et al, 2015 ; Jhagroo et al, 2016 ), appointment slot times ( Huang & Verduzco, 2015 ; Huang & Marcak, 2015 ; Qu et al, 2013 ), and appointment systems ( Vissers, 1979 ), have all been evaluated. Most studies have utilized simulation or analytical modeling to predict access outcomes ( Creps & Lotfi, 2017 ; Huang, 2016a , 2016b ; Huang & Hanauer, 2015 , 2016 ; Kopach et al, 2007 ; Qu et al, 2013 ; Reid et al, 2015 ; Vissers, 1979 ), with a paucity of case-specific reports.…”