Cancer Clinical Trial
Official title:
Implementing Personal Health Records to Promote Evidence-Based Cancer Screening
Verified date | May 2023 |
Source | Virginia Commonwealth University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Cancer screening can improve the length and quality of life, yet the average American receives only half of recommended services. Patient-centered personal health records with higher levels of functionality, combined with practice redesign to make use of these functions, can help patients obtain recommended cancer screening tests by linking them to their doctor's records, explaining information in lay language, displaying tailored recommendations and educational resources, providing logistical support and tools to stimulate action, and generating reminders. This project will measure whether making these resources available to primary care practices and patients promotes shared decision-making and increases the delivery of cancer screening compared to existing information systems.
Status | Completed |
Enrollment | 46 |
Est. completion date | May 15, 2020 |
Est. primary completion date | May 15, 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 75 Years |
Eligibility | Inclusion Criteria: 1. Practices in a practice based research network participating in our study that have an existing patient health record 2. Patients that attend our study practices Exclusion Criteria: Practices without a patient health record |
Country | Name | City | State |
---|---|---|---|
United States | University of New Mexico-RIOS Net | Albuquerque | New Mexico |
United States | OCHIN | Portland | Oregon |
United States | Virginia Commonwalth University | Richmond | Virginia |
Lead Sponsor | Collaborator |
---|---|
Virginia Commonwealth University | National Cancer Institute (NCI) |
United States,
Kerns JW, Krist AH, Longo DR, Kuzel AJ, Woolf SH. How patients want to engage with their personal health record: a qualitative study. BMJ Open. 2013 Jul 30;3(7):e002931. doi: 10.1136/bmjopen-2013-002931. — View Citation
Krist AH, Aycock RA, Etz RS, Devoe JE, Sabo RT, Williams R, Stein KL, Iwamoto G, Puro J, Deshazo J, Kashiri PL, Arkind J, Romney C, Kano M, Nelson C, Longo DR, Wolver S, Woolf SH. MyPreventiveCare: implementation and dissemination of an interactive preventive health record in three practice-based research networks serving disadvantaged patients--a randomized cluster trial. Implement Sci. 2014 Dec 11;9:181. doi: 10.1186/s13012-014-0181-1. — View Citation
Krist AH, Peele E, Woolf SH, Rothemich SF, Loomis JF, Longo DR, Kuzel AJ. Designing a patient-centered personal health record to promote preventive care. BMC Med Inform Decis Mak. 2011 Nov 24;11:73. doi: 10.1186/1472-6947-11-73. — View Citation
Krist AH, Woolf SH, Rothemich SF, Johnson RE, Peele JE, Cunningham TD, Longo DR, Bello GA, Matzke GR. Interactive preventive health record to enhance delivery of recommended care: a randomized trial. Ann Fam Med. 2012 Jul-Aug;10(4):312-9. doi: 10.1370/afm.1383. — View Citation
Krist AH, Woolf SH. A vision for patient-centered health information systems. JAMA. 2011 Jan 19;305(3):300-1. doi: 10.1001/jama.2010.2011. No abstract available. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Percent of patients who are up-to-date with recommended cancer screening tests in intervention versus control practices. | The percent of eligible patients who are up-to-date with all indicated cancer screenings (all-or-none measure). | 1 year | |
Secondary | Shared decision-making outcomes (knowledge, communication, decisional conflict, and decision control) reported by patients in intervention versus control practices | To assess shared decision making a composite score based on the following measures will be calculated.
Knowledge gained will be measured by using the IPHR, we will use questions from NCI's Health Information National Trends Survey (HINTS). To assess whether the IPHR helps patients weigh values regarding risks and benefits 2 measures will be used: (a) process (patient-clinician communication) and (b) patient perception (decisional conflict). Communication will be measured by using questions from AHRQ's Consumer Assessment of HealthCare Providers and Systems (CAHPS) survey. O'Connor's low literacy decisional conflict scale will be used to measure decisional conflict. To assess whether the IPHR fosters decision-making engagement at the desired level, Degner's locus of control metric will be used. |
1 year | |
Secondary | To assess whether cancer screening rates differ for disadvantaged patients, defined as minorities and Medicaid beneficiaries. | The difference in delivery of preventive services (Effectiveness) will be calculated for disadvantaged patients and the general population, using a two-level mixed-effects logistic regression for the all-or-none, composite, and individual screening tests. | 1 year | |
Secondary | To assess whether shared decision-making differ for disadvantaged patients, defined as minorities and Medicaid beneficiaries. | To assess shared decision making a composite score based on the following measures will be calculated.
Knowledge gained will be measured by using the IPHR, we will use questions from NCI's Health Information National Trends Survey (HINTS). To assess whether the IPHR helps patients weigh values regarding risks and benefits 2 measures will be used: (a) process (patient-clinician communication) and (b) patient perception (decisional conflict). Communication will be measured by using questions from AHRQ's Consumer Assessment of HealthCare Providers and Systems (CAHPS) survey. O'Connor's low literacy decisional conflict scale will be used to measure decisional conflict. To assess whether the IPHR fosters decision-making engagement at the desired level, Degner's locus of control metric will be used. These scores will be calculated for disadvantaged patients (minorities and Medicaid patients) and the general population that use the IPHR, then compared. |
1 year | |
Secondary | To assess whether perceptions of the technology differ for disadvantaged patients, defined as minorities and Medicaid beneficiaries. | Post-implementation patient phone interviews will be conducted then analyzed using grounded-theory approach to understand disadvantaged patients' perceptions of and experience with the IPHR. These results will be compared to the phone interviews done with patients from the general population. | 1 year |
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