Title |
Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, October 2013
|
DOI | 10.1186/1472-6947-13-121 |
Pubmed ID | |
Authors |
Brian E Dixon, Shaun J Grannis, Debra Revere |
Abstract |
Health information exchange (HIE) is the electronic sharing of data and information between clinical care and public health entities. Previous research has shown that using HIE to electronically report laboratory results to public health can improve surveillance practice, yet there has been little utilization of HIE for improving provider-based disease reporting. This article describes a study protocol that uses mixed methods to evaluate an intervention to electronically pre-populate provider-based notifiable disease case reporting forms with clinical, laboratory and patient data available through an operational HIE. The evaluation seeks to: (1) identify barriers and facilitators to implementation, adoption and utilization of the intervention; (2) measure impacts on workflow, provider awareness, and end-user satisfaction; and (3) describe the contextual factors that impact the effectiveness of the intervention within heterogeneous clinical settings and the HIE. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 75% |
India | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Ireland | 1 | <1% |
Portugal | 1 | <1% |
Qatar | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 97 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 17% |
Student > Master | 15 | 15% |
Researcher | 14 | 14% |
Student > Postgraduate | 7 | 7% |
Student > Doctoral Student | 6 | 6% |
Other | 19 | 18% |
Unknown | 25 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 23% |
Computer Science | 16 | 16% |
Nursing and Health Professions | 11 | 11% |
Social Sciences | 6 | 6% |
Agricultural and Biological Sciences | 4 | 4% |
Other | 14 | 14% |
Unknown | 28 | 27% |