Determining the Relationship between Availability of Therapy Information Management Infrastructures and Perceived Lean Services for Patients*

Document Type : Original Article

Authors
Mohammad Hossein Yarmohammadian 1
Farhad Shafiepour Motlagh 2
1 Associate Professor, Educational Management Planning, Health Management and Economic Research Center, School of Health Management and Medical Informatics, Isfahan University of Medical Sciences, Isfahan, Iran
2 Assistant Professor, Educational Administration, Mahallat Branch, Islamic Azad University, Mahallat, Iran
Abstract
Introduction: The perceived lean services are definite type of the therapy services that patients’ needs are
responded based on information about how to receive services in hospitals and medical centers. The
present study aimed to determine the relationship between availability of patients’ therapy information
management infrastructures and perceived lean services to find suitable model.
Methods: The study population included all the patients in the hospitals and medical centers of Isfahan,
Iran (n = 103). Subjects were selected by available sampling method (2011-2012). This was a descriptivecorrelative
study in which the data were collected through three researcher-made questionnaires:
Questionnaire of availability to patients’ therapy information management infrastructures (33 items,
α = 0.87), questionnaire of perceived lean services (12 items, α = 0.93) and questionnaire of patient’s
satisfaction (15 items, α = 0.89).
Results: The results indicated the direct effects of information management infrastructures caused by
condition of perception for patients (0.34) and information management for outpatients (0.27) in addition
to the direct effect of the outpatients (0.42) and direct effects of information management for reception of
patients due to any additional time (0.33). Moreover, there was a direct effect of information management
for patients’ medical documents and literacy (0.13). The comparative fit index (CFA) showed that the
measurement model fit the data very well with a goodness of fit index (GFI) of 0.9 and adjusted goodness
of fit index (AGFI) equal to 0.953, root mean square error of approximation (RMSEA) equal to 0.078, and
a chi-square equal to 268.6 (P < 0.001).
Conclusion: The therapy information management infrastructures must be prepared to enhance quality of
services to patients.

Keywords

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Health Information Management
Volume 9, Issue 7
Autumn 2012
Pages 1073-1080