Health information technology (HIT) has been an emerging solution to reducing some gaps in care. Several nations have implemented expensive, large-scale, HIT projects; most have struggled with poor uptake, interoperability, and low sharing and reuse of data. Lack of understanding of complex "multilevel tensions" was a common reason for failure.
This study aims to understand how organizational context and interfaces affect the collection, management, and use of data for care improvement (CI).
The case study consisted of 33 hour-long semi-structured interviews with 38 informants from 27 organizations from 2 states. Primary data collected using snowball sampling in 2007-08 and elicited information on the use of data for improving quality of colorectal cancer care. Data were supplemented using publicly available organizational information. Data analysis included coding to identify themes and converting data into thematic matrices to enable the detection of patterns and comparative analysis.
Table of Contents
Actors, roles, and care improvement
Data and Care Improvement
Synthesis of Findings
Assessments for condition selection
Participation request email
Sample performance measurement data
Description of the primary project
Supporting graphs and tables for Chapter 5
Supporting graphs and tables for Chapter 6
Framework for classifying CI interventions