Back to Search
Start Over
Survey of patient and public perceptions of electronic health records for healthcare, policy and research: Study protocol
- Source :
- BMC Medical Informatics and Decision Making, Vol 12, Iss 1, p 40 (2012), BMC Medical Informatics and Decision Making
- Publication Year :
- 2012
- Publisher :
- BMC, 2012.
-
Abstract
- Background Immediate access to patients’ complete health records via electronic databases could improve healthcare and facilitate health research. However, the possible benefits of a national electronic health records (EHR) system must be balanced against public concerns about data security and personal privacy. Successful development of EHR requires better understanding of the views of the public and those most affected by EHR: users of the National Health Service. This study aims to explore the correlation between personal healthcare experience (including number of healthcare contacts and number and type of longer term conditions) and views relating to development of EHR for healthcare, health services planning and policy and health research. Methods/design A multi-site cross-sectional self-complete questionnaire designed and piloted for use in waiting rooms was administered to patients from randomly selected outpatients’ clinics at a university teaching hospital (431 beds) and general practice surgeries from the four primary care trusts within the catchment area of the hospital. All patients entering the selected outpatients clinics and general practice surgeries were invited to take part in the survey during August-September 2011. Statistical analyses will be conducted using descriptive techniques to present respondents’ overall views about electronic health records and logistic regression to explore associations between these views and participants’ personal circumstances, experiences, sociodemographics and more specific views about electronic health records. Discussion The study design and implementation were successful, resulting in unusually high response rates and overall recruitment (85.5%, 5336 responses). Rates for face-to-face recruitment in previous work are variable, but typically lower (mean 76.7%, SD 20). We discuss details of how we collected the data to provide insight into how we obtained this unusually high response rate.
- Subjects :
- Questionnaires
Male
Quality management
Quality Assurance, Health Care
020205 medical informatics
Pilot Projects
02 engineering and technology
Public opinion
Ambulatory Care Facilities
Masking (Electronic Health Record)
Health informatics
Health administration
Study Protocol
0302 clinical medicine
Catchment Area, Health
Surveys and Questionnaires
London
Health care
0202 electrical engineering, electronic engineering, information engineering
Cluster Analysis
Medicine
Electronic Health Records
030212 general & internal medicine
Patient and Public Perceptions
Catchment Area (Health)
Health Policy
Health services research
Middle Aged
Quality Improvement
MEDICAL INFORMATICS
3. Good health
Computer Science Applications
lcsh:R858-859.7
Female
Health Services Research
Life Sciences & Biomedicine
Adult
Adolescent
Patients
Waiting Lists
Health Informatics
lcsh:Computer applications to medicine. Medical informatics
03 medical and health sciences
Nursing
0909 Geomatic Engineering
Humans
Hospitals, Teaching
Health policy
Science & Technology
business.industry
1103 Clinical Sciences
Health Surveys
Cross-Sectional Studies
Logistic Models
0806 Information Systems
Public Opinion
business
Subjects
Details
- Language :
- English
- ISSN :
- 14726947
- Volume :
- 12
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Medical Informatics and Decision Making
- Accession number :
- edsair.doi.dedup.....a0a4b08b23b76ab8cb26303d475eceb1