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This study explores consumers' perception of digital medical records (DMRs) in terms of accessibility, privacy, and new technology. It examines the factors influencing adoption or rejection of DMRs and the impact of privacy concerns on consumers' willingness to share their medical records. The research utilizes various methodologies, including literature review, interviews, focus groups, and surveys.
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Consumers' Perception of Shared Individual Digital Medical Records: Accessibility, Privacy, and New Technology Kier Wallis & Ronald E. Rice Dept. of Communication UC Santa Barbara
Digital Medical Records Technology • Problem: providers not connected; difficult to share or transfer information; records incomplete • Solution: Digital Medical Record (DMR) • Clinical and administrative data from individual patients (e.g., lab results, x-rays, appointments, doctor’s notes), stored in electronic database • Improves healthcare efficiency, effectiveness
1998: Formed by leading health care organizations in Santa Barbara • Provides technical, organizational, financial, and legal infrastructure for sharing clinical data among regional physicians, hospitals, consumers, and health care related organizations • SBCCDE hosts clinical data • repository on behalf of • participating organizations • Patients can view lab results, • users who have accessed • their records
My Research • New area; issue at forefront of political and medical discussions • Uses several research methods and different levels of analysis • Learn about, work, and meet with organizations involved in SBCCDE • Influence future efforts to inform and educate consumers about DMRs
Theory • Diffusion of Innovations (Rogers, 1983) • Consumers’ perception of new technology on 5 attributes influences adoption/rejection • Relative advantage, compatibility, complexity, trialability, observability • Reinvention • Privacy • Ability to control collection and use of personal information (Westin, 1967) • Organization-consumer struggle affected by several privacy factors, including (Smith et al., 1996): • Unauthorized Secondary Use, Improper Access, Collection, Errors
Public Opinion & Legislation • 1999 Poll: 80% feel they are no longer able to control how companies collect and subsequently use consumers’ information (IBM) • HIPAA: Health Insurance Portability and Accountability Act (1996) • Intended to safeguard security and confidentiality of patient health information esp. for electronic transfer
Methodology • Literature review • Interviews with stakeholders • Pilot focus group • Focus groups • Word, theme and semantic network analysis • Feedback from SBCCDE Executive Director • Pilot survey • Survey
Stakeholder Interviews • Representatives identified by SBCCDE Executive Director • Non-profit stakeholders: SBPHD, SBRHA, community • For-profit stakeholders: Cottage Hospital, SFMC, clinicians • Common • Goal to improve healthcare, coordinate medical programs • Concern for data accuracy, system’s costs • Non-Profit • Not enough community involvement • Anxiety over security, privacy • For-Profit • Contributed funding, data, people • Interoperability
Focus Groups • Individuals’ reactions to implementation of digital medical records • Group types determined by literature and interviews • 3 healthy undergraduate groups • 1 ‘chronically ill’ undergraduate group • 1 graduate student group • 1 employee group
Focus Group Results • All • Thought DMRs would be accessible, ideal in emergencies • Concerned about medical rights, privacy, security • Almost all would access record • Undergraduates • Supported implementation • Would sign waiver releasing their medical records • No significant difference with ‘chronic illness’ group • Employees, graduates • Concerned about health insurance, employers • More hesitant to release medical records
Semantic Network Analysis • First, looked at word frequencies • Words occurring most frequently together form clusters according to strength of relationship • Which words clustered together? • Individuals: “I don’t know information;” medical records’ content; privacy rights • Benefits: Access, transfer, better file, “easy access” for doctors
Individual Characteristics Gender (F) (-) Age (-) Healthy (-) No Chronic Illness Expenses Responsibility (+) Insurance Responsibility (+) College Year (+) Self Efficacy (+) Technology Use Internet Use (+) Web Expertise (+) Computer Use Location Web Fluency (+) Privacy and Rights Need for Privacy (-) General Privacy Concerns (-) Organizational Privacy Concerns (-) Concerns about Computer Privacy (-) Accurate Perception of Patient’s Legal Rights (+) Model Technology Evaluation Adoption Reinvention Innovation Attributes Relative Advantage (+) Compatibility (+) Complexity (-) Trialability (+) Observability (+)
Survey • Pilot survey • Standard scales: Bunz (2001) web fluency, Buss (2001) need for privacy, Smith et al. (1996) organizational privacy, Jerusalem & Schwarzer (1992) self efficacy • New scales: innovation attributes, perception of legal rights, adoption, reinvention • Descriptive, bivariate, multivariate analyses • 413 respondents, 76.8% female, 19.5 yrs old, 80% healthy, 79% not responsible for annual expenses
Survey Results: Adoption & Reinvention • Bivariate correlations, multivariate regressions analyzed for directional predictions • Multivariate regression (only significant influences): • Related to adoption • Observability • Compatibility • Trialability • Complexity • Explanation • Organizational Privacy • Collection • Annual Expenses • Related to reinvention • Observability • Relative Advantage • Complexity • Explanation • Organizational Privacy • Unauthorized access • Annual Expenses
Modified Model • Individual Characteristics • Expenses Responsibility (+) • Technology Use • Privacy and Rights • Organizational Privacy Concerns (-) • Collection • Unauthorized Access • Technology Evaluation • Adoption • Reinvention • Innovation Attributes • Relative Advantage (+) • Compatibility (+) • Complexity (-) • Errors (Reinvention) • Explaining • Trialability (+) • Observability (+)
Research Implications • Annual expenses most significant individual characteristic • Populations with different financial responsibilities will respond differently • Technology/Web experience influences adoption/rejection • Disparities in computer skills must be considered • Respondents had an inaccurate perception of medical rights • If informed, population more likely to adopt technology
Research Implications • High concern for organizational privacy • Inform consumers how to protect information; encourage orgs. to publish policies • Respondents interested in interacting with medical record • Create opportunities for patient involvement to foster adoption • Respondents saw benefits in comparison to paper records; better treatment • Emphasize in consumer campaigns
Future Research • Role of self efficacy as a moderating variable (tested; no effect) • How do clinicians evaluate the technology? Does it change their relationship with patients? • How will patients use the technology?
Acknowledgements • Participants • Communication Dept. Faculty and Staff • URCA (Undergraduate Research and Creative Activities program) • Mike Skinner and SBCCDE • Fellow Students • For more information, please visit: http://www.comm.ucsb.edu/faculty/rrice/sbccde.pdf