Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A New Instrument for Measuring Clinician Satisfaction With Electronic Health Records
32
Zitationen
4
Autoren
2011
Jahr
Abstract
A new survey instrument was developed and validated to measure clinician (nurse) satisfaction with electronic health record impact on clinical process. The Health Information Technology Reference-Based Evaluation Framework guided the selection of evaluation dimensions for the survey. Survey questions were gathered from existing health information technology satisfaction surveys that reflected individual evaluation concepts, such as efficiency or benefits. Decisions about data-gathering methods (e.g., item selection) were made based on reviews of literature and surveys of clinician satisfaction with health information technology and expert input. Preliminary instrument validation was accomplished using qualitative and statistical analysis of five repeated sets of responses from clinicians at the pilot site and field administrations repeated twice at electronic health record implementation and paper-based comparison sites and by analyzing convergent evidence from observations and interviews. Reliability was assessed on one sample: 30 graduate nursing students at the single pilot site. Validity was assessed on three separate samples: (1) graduate nursing students (n = 30), (2) field test at a site with electronic health record (n = 39 participants), and (3) field test at a paper-based site (n = 17). The implementation and comparison sites are Program of All-Inclusive Care for the Elderly that provide managed day care for frail elderly. Survey responses were assessed for test-retest reliability, internal consistency, and content and construct validity. The instrument design enables its administration before and after electronic health record implementation. Work to date suggests the instrument is reliable and valid; it is offered to electronic health record evaluators for further testing and application.
Ähnliche Arbeiten
Machine Learning in Medicine
2019 · 3.781 Zit.
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
2006 · 3.173 Zit.
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes
2005 · 2.970 Zit.
Studies in health technology and informatics
2008 · 2.903 Zit.
An overview of clinical decision support systems: benefits, risks, and strategies for success
2020 · 2.721 Zit.