Individualizing Disease Prevention for Middle-Aged Adults
NCT ID: NCT03023813
Last Updated: 2022-04-26
Study Results
Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.
View full resultsBasic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
TERMINATED
NA
104 participants
INTERVENTIONAL
2017-02-22
2021-03-12
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Personalized Disease Prevention
NCT05463887
Delivery of Preventive Services in Primary Care
NCT00115557
Elders Preserving Independence in the Community
NCT05381480
Diet and Activity Promotion Among Older Working Adults
NCT01233063
A Remote Delivered Lifestyle Therapeutics Program
NCT04201028
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Intervention
Individualized preventive care recommendations will be distributed to subjects.
Intervention
Written material provided.
Control
Usual care
No interventions assigned to this group
Development Phase
Non-randomized receipt of individualized preventive care recommendations
Intervention
Written material provided.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Intervention
Written material provided.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Two or more of the following risk factors:
* Tobacco use
* Overweight/obese
* Hypertension
* Hyperlipidemia
* Diabetes
* Alcohol Misuse
* Depression
* History of Sexually Transmitted Infection
* Being overdue for the following screenings: Colorectal, cervical, breast, lung
Exclusion Criteria
45 Years
70 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
National Institute on Aging (NIA)
NIH
Glen Taksler
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Glen Taksler
Staff
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Glen Taksler, PhD
Role: PRINCIPAL_INVESTIGATOR
The Cleveland Clinic
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Cleveland Clinic
Cleveland, Ohio, United States
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Krist AH, Glenn BA, Glasgow RE, Balasubramanian BA, Chambers DA, Fernandez ME, Heurtin-Roberts S, Kessler R, Ory MG, Phillips SM, Ritzwoller DP, Roby DH, Rodriguez HP, Sabo RT, Sheinfeld Gorin SN, Stange KC; MOHR Study Group. Designing a valid randomized pragmatic primary care implementation trial: the my own health report (MOHR) project. Implement Sci. 2013 Jun 25;8:73. doi: 10.1186/1748-5908-8-73.
Glasgow RE, Kessler RS, Ory MG, Roby D, Gorin SS, Krist A. Conducting rapid, relevant research: lessons learned from the My Own Health Report project. Am J Prev Med. 2014 Aug;47(2):212-9. doi: 10.1016/j.amepre.2014.03.007. Epub 2014 Jun 18.
Edwards A, Elwyn G. Inside the black box of shared decision making: distinguishing between the process of involvement and who makes the decision. Health Expect. 2006 Dec;9(4):307-20. doi: 10.1111/j.1369-7625.2006.00401.x.
Elwyn G, Edwards A, Wensing M, Hood K, Atwell C, Grol R. Shared decision making: developing the OPTION scale for measuring patient involvement. Qual Saf Health Care. 2003 Apr;12(2):93-9. doi: 10.1136/qhc.12.2.93.
Nagykaldi Z, Aspy CB, Chou A, Mold JW. Impact of a Wellness Portal on the delivery of patient-centered preventive care. J Am Board Fam Med. 2012 Mar-Apr;25(2):158-67. doi: 10.3122/jabfm.2012.02.110130.
Sepucha KR, Fagerlin A, Couper MP, Levin CA, Singer E, Zikmund-Fisher BJ. How does feeling informed relate to being informed? The DECISIONS survey. Med Decis Making. 2010 Sep-Oct;30(5 Suppl):77S-84S. doi: 10.1177/0272989X10379647.
Dillard AJ, Ferrer RA, Ubel PA, Fagerlin A. Risk perception measures' associations with behavior intentions, affect, and cognition following colon cancer screening messages. Health Psychol. 2012 Jan;31(1):106-13. doi: 10.1037/a0024787. Epub 2011 Aug 1.
Prochaska JO, DiClemente CC, Norcross JC. In search of how people change. Applications to addictive behaviors. Am Psychol. 1992 Sep;47(9):1102-14. doi: 10.1037//0003-066x.47.9.1102.
Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983 Jun;51(3):390-5. doi: 10.1037//0022-006x.51.3.390. No abstract available.
Phillips SM, Glasgow RE, Bello G, Ory MG, Glenn BA, Sheinfeld-Gorin SN, Sabo RT, Heurtin-Roberts S, Johnson SB, Krist AH; MOHR Study Group. Frequency and prioritization of patient health risks from a structured health risk assessment. Ann Fam Med. 2014 Nov-Dec;12(6):505-13. doi: 10.1370/afm.1717.
Kriston L, Scholl I, Holzel L, Simon D, Loh A, Harter M. The 9-item Shared Decision Making Questionnaire (SDM-Q-9). Development and psychometric properties in a primary care sample. Patient Educ Couns. 2010 Jul;80(1):94-9. doi: 10.1016/j.pec.2009.09.034. Epub 2009 Oct 30.
Fagerlin A, Zikmund-Fisher BJ, Ubel PA, Jankovic A, Derry HA, Smith DM. Measuring numeracy without a math test: development of the Subjective Numeracy Scale. Med Decis Making. 2007 Sep-Oct;27(5):672-80. doi: 10.1177/0272989X07304449. Epub 2007 Jul 19.
Zikmund-Fisher BJ, Smith DM, Ubel PA, Fagerlin A. Validation of the Subjective Numeracy Scale: effects of low numeracy on comprehension of risk communications and utility elicitations. Med Decis Making. 2007 Sep-Oct;27(5):663-71. doi: 10.1177/0272989X07303824. Epub 2007 Jul 24.
Tait AR, Voepel-Lewis T, Zikmund-Fisher BJ, Fagerlin A. Presenting research risks and benefits to parents: does format matter? Anesth Analg. 2010 Sep;111(3):718-23. doi: 10.1213/ANE.0b013e3181e8570a. Epub 2010 Aug 4.
Tait AR, Zikmund-Fisher BJ, Fagerlin A, Voepel-Lewis T. Effect of various risk/benefit trade-offs on parents' understanding of a pediatric research study. Pediatrics. 2010 Jun;125(6):e1475-82. doi: 10.1542/peds.2009-1796. Epub 2010 May 10.
Hawley ST, Zikmund-Fisher B, Ubel P, Jancovic A, Lucas T, Fagerlin A. The impact of the format of graphical presentation on health-related knowledge and treatment choices. Patient Educ Couns. 2008 Dec;73(3):448-55. doi: 10.1016/j.pec.2008.07.023. Epub 2008 Aug 27.
Tait AR, Voepel-Lewis T, Zikmund-Fisher BJ, Fagerlin A. The effect of format on parents' understanding of the risks and benefits of clinical research: a comparison between text, tables, and graphics. J Health Commun. 2010 Jul;15(5):487-501. doi: 10.1080/10810730.2010.492560.
Lloyd A, Joseph-Williams N, Edwards A, Rix A, Elwyn G. Patchy 'coherence': using normalization process theory to evaluate a multi-faceted shared decision making implementation program (MAGIC). Implement Sci. 2013 Sep 5;8:102. doi: 10.1186/1748-5908-8-102.
Elwyn G, Frosch D, Thomson R, Joseph-Williams N, Lloyd A, Kinnersley P, Cording E, Tomson D, Dodd C, Rollnick S, Edwards A, Barry M. Shared decision making: a model for clinical practice. J Gen Intern Med. 2012 Oct;27(10):1361-7. doi: 10.1007/s11606-012-2077-6. Epub 2012 May 23.
Taksler GB, Hu B, DeGrandis F Jr, Montori VM, Fagerlin A, Nagykaldi Z, Rothberg MB. Effect of Individualized Preventive Care Recommendations vs Usual Care on Patient Interest and Use of Recommendations: A Pilot Randomized Clinical Trial. JAMA Netw Open. 2021 Nov 1;4(11):e2131455. doi: 10.1001/jamanetworkopen.2021.31455.
Provided Documents
Download supplemental materials such as informed consent forms, study protocols, or participant manuals.
Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
16-854
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.