Grant: Travel Awards - Institute Community Support
University of Toronto
$2,000.00
Patient Experience Data Mining Approach for Rapid Quality Improvement at Trillium Health Partners: Pilot Study
EF 2024-25
Résumé
Trillium Health Partners (THP), a large academically-affiliated health center in Ontario, Canada, recognized the limitations of traditional paper-based and telephone surveys in understanding the breadth of patient experience (PX). In response, THP overhauled its data collection methods, integrating email, QR codes, and tablets to broaden participation and enable rapid quality improvements. Using Qualtrics as a central platform, the team employed advanced tools including StatsIQ for quantitative analysis, TextIQ for natural language processing, and N-Vivo for in-depth examination of open-ended comments. A pilot study focused on four medicine units-two with the highest and two with the lowest PX scores based on patient ratings-revealed key enablers and barriers to patient PX. Positive experiences often emerged from effective communication, empathy, and responsiveness, while negative perceptions stemmed from operational inefficiencies and insufficient information sharing. Tailored regression models for each unit shed light on their unique PX drivers, offering insights into how emotional support, engagement, and teamwork shape patient perceptions. By illustrating how diverse, rapidly collected patient feedback can inform timely interventions, this approach advances the organization's capacity to implement evidence-based changes. The lessons learned highlight the importance of integrating various data collection channels and analytical techniques to capture a wider spectrum of voices and experiences, ultimately guiding collaborative, data-driven quality improvement efforts across the health system's clinical programs and functions.
Programme
Travel Awards - Institute Community Support
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
521157
Name
Majid Umair
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Health Services and Policy Research
Theme2
Health systems / services
Prcname2
Travel Awards - Institute Community Support
Projecttitle
Patient Experience Data Mining Approach for Rapid Quality Improvement at Trillium Health Partners: Pilot Study
Programtype2
Undefined
Orgnameinp2
University of Toronto
Cihramount2
$2,000
Cihrequipment2
$0
Programname2
Travel Awards - Institute Community Support
Keyworddelim
Methodology; Patient Experience; Quality Improvement
Abstract
Trillium Health Partners (THP), a large academically-affiliated health center in Ontario, Canada, recognized the limitations of traditional paper-based and telephone surveys in understanding the breadth of patient experience (PX). In response, THP overhauled its data collection methods, integrating email, QR codes, and tablets to broaden participation and enable rapid quality improvements. Using Qualtrics as a central platform, the team employed advanced tools including StatsIQ for quantitative analysis, TextIQ for natural language processing, and N-Vivo for in-depth examination of open-ended comments. A pilot study focused on four medicine units-two with the highest and two with the lowest PX scores based on patient ratings-revealed key enablers and barriers to patient PX. Positive experiences often emerged from effective communication, empathy, and responsiveness, while negative perceptions stemmed from operational inefficiencies and insufficient information sharing. Tailored regression models for each unit shed light on their unique PX drivers, offering insights into how emotional support, engagement, and teamwork shape patient perceptions. By illustrating how diverse, rapidly collected patient feedback can inform timely interventions, this approach advances the organization's capacity to implement evidence-based changes. The lessons learned highlight the importance of integrating various data collection channels and analytical techniques to capture a wider spectrum of voices and experiences, ultimately guiding collaborative, data-driven quality improvement efforts across the health system's clinical programs and functions.
Competitiondate
202501
Approvedterm2
1 yr 0 mth
Pinamesdelim
Majid, Umair
Approvedterm
1 an 0 mois
Cihrcontribution2
IHSPR~ $2,000~ $0~