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Development and psychometric assessment of a novel survey to measure care coordination from the specialist's perspective
Author(s) -
Vimalananda Varsha G.,
Fincke Benjamin Graeme,
Qian Shirley,
Waring Molly E.,
Seibert Ryan G.,
Meterko Mark
Publication year - 2019
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/1475-6773.13148
Subject(s) - confirmatory factor analysis , specialty , variance (accounting) , explained variation , scale (ratio) , psychology , construct validity , discriminant validity , data collection , health care , survey data collection , family medicine , nursing , psychometrics , medicine , medical education , applied psychology , structural equation modeling , clinical psychology , computer science , internal consistency , statistics , physics , mathematics , accounting , quantum mechanics , machine learning , economics , business , economic growth
Objective To develop an online survey of care coordination with primary care providers as experienced by medical specialists, evaluate its psychometric properties, and test its construct validity. Data Sources Physicians (N = 633) from 13 medical specialties across the Veterans Health Administration. Study Design We developed the survey based on prior work (literature review, specialist interviews) and by adapting existing measures and developing new items. Multitrait scaling analysis and confirmatory factor analysis were used to assess scale structure. We used multiple linear regression to examine the relationship of the final coordination scales to specialists’ overall experience of care coordination. Data Collection November 2016‐December 2016. Principal Findings Results suggest a 13‐item, four‐factor survey [Relationships ( k = 4), Roles and Responsibilities ( k = 4), Communication ( k = 3), and Data Transfer ( k = 2)] that measures the medical specialist experience of coordination with good internal consistency reliability, convergent validity, discriminant validity, and goodness of fit. Together, the four scales explained nearly 50 percent of the variance in specialists’ overall experience of care coordination. Conclusions The 13‐item Coordination of Specialty Care—Specialist Survey ( CSC ‐Specialist) is the first of its kind. It can be used alone or embedded in other surveys to measure four domains of care coordination as experienced by medical specialists.