Primary Health CareNCT03023813
Individualizing Disease Prevention for Middle-Aged Adults
A study testing Intervention in people with Primary Health Care, run by Glen Taksler at 1 site in United States.
Trial summary
The primary objective of this study is to help patients compare the benefits of various preventive care services, based on their individual risk factors (such as smoking status, obesity, high blood pressure, high cholesterol, etc.). Read more about this study
- Who is it for?
- Ages 45 to 70 yearsHealthy volunteers can take part
- Conditions the study is for
- Primary Health Care
- What is being tested?
- Intervention
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 104 participants
- Where
- 1 siteUnited States
- Study dates
- 22 Feb 2017to 12 Mar 2021
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 45 to 70 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Scheduled for an appointment with primary care provider during study period
- Two or more of the following risk factors:
- Tobacco use
- Overweight/obese
- Hypertension
- Hyperlipidemia
Show all 11Show fewer
- Diabetes
- Alcohol Misuse
- Depression
- History of Sexually Transmitted Infection
- Being overdue for the following screenings: Colorectal, cervical, breast, lung
Who cannot join
- Severely limited life expectancy (cancer, congestive heart failure, chronic obstructive pulmonary disease, end stage renal disease)
Trial locations and contacts
1 site in 1 country.
About this study
The primary objective of this study is to help patients compare the benefits of various preventive care services, based on their individual risk factors (such as smoking status, obesity, high blood pressure, high cholesterol, etc.). A tailored decision tool will be provided to each participant during primary care appointments to facilitate discussion between the participant and his/her provider regarding prioritizing preventive service recommendations.
- Conditions
- Primary Health Care
- Being tested
- Intervention
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
InterventionOther
Written material provided.
| Study group | Role | What they receive |
|---|---|---|
| Intervention | Experimental | Individualized preventive care recommendations will be distributed to subjects. Receives: Other: Intervention |
| Control | No intervention | Usual care |
| Development Phase | Experimental | Non-randomized receipt of individualized preventive care recommendations Receives: Other: Intervention |
What is being measured
The primary outcome is the main question the study is designed to answer.
Interest in Individualized Preventive Care Recommendations.
Measured by individualized preventive service recommendations, tailored to patient's specific medical conditions. Measured by surveys.
Survey question: "Overall, how helpful did you find the written materials (handouts)?" Ten point scale (minimum 1, maximum 10, higher score is better outcome)
Measured: Within 3 days of index primary care appointment.
Interest in Individualized Preventive Care Recommendations.
Measured by individualized preventive service recommendations, tailored to patient's specific medical conditions. Measured by surveys.
Survey question: "In the future, would you like to see updated written materials (handouts)?" Ten point scale (minimum 1, maximum 10, higher score is better outcome)
Measured: Within 3 days of index primary care appointment.
Secondary outcomes (7)
Use of Shared Decision Making.
Measured by surveys. Survey metric: Shared Decision Making (SDM)-Q-9 validated scale, converted to 100 point denominator 100 point scale (minimum 1, maximum 100, higher score is better outcome)
Measured: Within 3 days of index primary care appointment.
Patient Readiness to Change Health Behaviors.
Measured by surveys. Proportion of top-3 individualized preventive service recommendations ready to change over next 1 month Numerator: Number of top-3-ranked recommendations with score >=6 out of 7 on Likert scale for readiness to change over next 1 month (minimum=1, maximum=7, higher score was better) Denominator: The number of individualized preventive service recommendations provided to a patient or 3, whichever was lower
Measured: Within 3 days of index primary care appointment.
Patient Readiness to Change Health Behaviors
Measured by surveys Proportion of top-3 individualized preventive service recommendations ready to change over next 2-6 months Numerator: Number of top-3-ranked recommendations with score >=6 out of 7 on Likert scale for readiness to change over next 2-6 months (minimum=1, maximum=7, higher score was better) Denominator: The number of individualized preventive service recommendations provided to a patient or 3, whichever was lower
Measured: Within 3 days of index primary care appointment
Patient Readiness to Change Health Behaviors.
Measured by surveys Proportion of bottom-3 individualized preventive service recommendations ready to change over next 1 month Numerator: Number of bottom-3-ranked recommendations with score >=6 out of 7 on Likert scale for readiness to change over next 1 month (minimum=1, maximum=7, higher score was better) Denominator: The number of individualized preventive service recommendations provided to a patient or 3, whichever was lower
Measured: Within 3 days of index primary care appointment
Patient Readiness to Change Health Behaviors
Measured by surveys. Proportion of bottom-3 individualized preventive service recommendations ready to change over next 2-6 months Numerator: Number of bottom-3-ranked recommendations with score >=6 out of 7 on Likert scale for readiness to change over next 2-6 months (minimum=1, maximum=7, higher score was better) Denominator: The number of individualized preventive service recommendations provided to a patient or 3, whichever was lower
Measured: Within 3 days of index primary care appointment
Decisional Comfort.
Measured by surveys. Survey metric: Decisional Conflict Scale (validated scale), converted to 100 point denominator 100 point scale (minimum 1, maximum 100, higher score is better outcome)
Measured: Within 3 days of index primary care appointment.
Preventive Care Outcomes for Patients.
Number of participants with at least 1 follow-up encounter during the 1 year after an index encounter.
Measured: Within 1 year of index primary care appointment.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Jan 2017 (estimated)
- Study start22 Feb 2017
- Primary completion12 Mar 2020
- Study completion12 Mar 2021
Why it stopped: Study was terminated on 2/17/2021 due to on-going and uncertain nature of COVID-19 pandemic; this was not a suspension of IRB approval.
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (20)Papers the sponsor has linked to this study.
- Other trials for Primary Health CareStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Multiple round pilot testing. Some round(s) will have a single group with 1 arm. Other round(s) will be parallel with 2 arms.
- Masking
- None (open label)
- Enrolment
- 104 participants (actual)
Sponsor and investigators
- Lead sponsor
- Glen Taksler
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute on Aging (NIA)
- Responsible party
- Sponsor-investigator, Glen Taksler, The Cleveland Clinic
- Investigators
- Glen Taksler, PhD, Principal investigator, The Cleveland Clinic
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03023813
- Sponsor's protocol ID
- 16-854
- Status last verified
- Mar 2022
- First submitted
- 13 Jan 2017
- Last updated
- 26 Apr 2022
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
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.
PubMed 23799943Glasgow 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.
PubMed 24953520Edwards 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.
PubMed 17083558Elwyn 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.
PubMed 12679504Nagykaldi 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.
PubMed 22403196Sepucha 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.
PubMed 20881156Dillard 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.
PubMed 21806302Prochaska 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.
PubMed 1329589Prochaska 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.
PubMed 6863699Phillips 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.
PubMed 25384812Kriston 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.
PubMed 19879711Fagerlin 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.
PubMed 17641137Zikmund-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.
PubMed 17652180Tait 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.
PubMed 20686011Tait 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.
PubMed 20457688
Study at a glance
From the registry record, last updated by the sponsor on 26 Apr 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Individualizing Disease Prevention for Middle-Aged Adults
- ClinicalTrials.gov ID
- NCT03023813
- Acronym / sponsor ID
- 16-854
- Conditions
- Primary Health Care
- Study type
- Interventional
- Recruitment status
- TerminatedReason stopped: Study was terminated on 2/17/2021 due to on-going and uncertain nature of COVID-19 pandemic; this was not a suspension of IRB approval.
- Enrolment
- 104 participants (actual)
- Lead sponsor
- Glen TakslerUniversity, hospital or other
- Collaborators
- National Institute on Aging (NIA)
- Study start
- 22 Feb 2017 (actual)
- Primary completion
- 12 Mar 2020 (actual)
- Study completion
- 12 Mar 2021 (actual)
- First posted
- 18 Jan 2017 (estimated)
- Results
- Posted 29 Jun 2021
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The primary objective of this study is to help patients compare the benefits of various preventive care services, based on their individual risk factors (such as smoking status, obesity, high blood pressure, high cholesterol, etc.). A tailored decision tool will be provided to each participant during primary care appointments to facilitate discussion between the participant and his/her provider regarding prioritizing preventive service recommendations.
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 3
- Model description
- Multiple round pilot testing. Some round(s) will have a single group with 1 arm. Other round(s) will be parallel with 2 arms.
| Arm | Type | Receives |
|---|---|---|
| Intervention | Experimental | Other: InterventionIndividualized preventive care recommendations will be distributed to subjects. |
| Control | No intervention | –Usual care |
| Development Phase | Experimental | Other: InterventionNon-randomized receipt of individualized preventive care recommendations |
Who may qualify
- Ages
- 45 to 70 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (11 listed)
- Scheduled for an appointment with primary care provider during study period
- Two or more of the following risk factors:
- Tobacco use
- Overweight/obese
- Hypertension
Key exclusion criteria (1 listed)
- Severely limited life expectancy (cancer, congestive heart failure, chronic obstructive pulmonary disease, end stage renal disease)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| InterventionWritten material provided. | Other | Development Phase, Intervention |
Primary outcome
Interest in Individualized Preventive Care Recommendations.
Time frame: Within 3 days of index primary care appointment.
Measured by individualized preventive service recommendations, tailored to patient's specific medical conditions. Measured by surveys. Survey question: "Overall, how helpful did you find the written materials (handouts)?" Ten point scale (minimum 1, maximum 10, higher score is better outcome)
Interest in Individualized Preventive Care Recommendations.
Time frame: Within 3 days of index primary care appointment.
Measured by individualized preventive service recommendations, tailored to patient's specific medical conditions. Measured by surveys. Survey question: "In the future, would you like to see updated written materials (handouts)?" Ten point scale (minimum 1, maximum 10, higher score is better outcome)
7 secondary outcomes
Use of Shared Decision Making.
Time frame: Within 3 days of index primary care appointment.
Patient Readiness to Change Health Behaviors.
Time frame: Within 3 days of index primary care appointment.
Patient Readiness to Change Health Behaviors
Time frame: Within 3 days of index primary care appointment
Patient Readiness to Change Health Behaviors.
Time frame: Within 3 days of index primary care appointment
Patient Readiness to Change Health Behaviors
Time frame: Within 3 days of index primary care appointment
Decisional Comfort.
Time frame: Within 3 days of index primary care appointment.
Preventive Care Outcomes for Patients.
Time frame: Within 1 year of index primary care appointment.
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Apr 2022.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 23799943Krist 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.
- Background: PubMed 24953520Glasgow 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.
- Background: PubMed 17083558Edwards 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.
- Background: PubMed 12679504Elwyn 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.
- Background: PubMed 22403196Nagykaldi 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.
- Background: PubMed 20881156Sepucha 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.
- Background: PubMed 21806302Dillard 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.
- Background: PubMed 1329589Prochaska 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.
- Background: PubMed 6863699Prochaska 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.
- Background: PubMed 25384812Phillips 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.
- Background: PubMed 19879711Kriston 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.
- Background: PubMed 17641137Fagerlin 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.
- Individual participant dataSharing planned: No
Related trials for Primary Health Care
Active, not recruiting
Primary Care Detection of Cognitive Impairment Leveraging Health & Consumer Technologies in Underserved Communities: The MyCog Trial
Dementia, Cognitive Impairment
Not yet recruiting
Evaluation of the Effectiveness of Implementing a Screening Strategy for the Diagnosis of Prediabetes and Type 2 Diabetes Mellitus in Primary Health Care in a Brazilian Municipality
Diabetes Mellitus (Type 2), Prediabetes
RecruitingObservational study
Targeted Health Dialogues in Primary Care
Health Behaviors, Risk Factors
Recruiting
Climate-Responsive Nutrition, WASH, and Heat Counselling for Maternal and Child Health in Sindh, Pakistan
Maternal Nutrition, Child Nutrition
Recruiting
Smartwatch-based Intervention for Cardiovascular Health (SWITCH)
Overweight , Obesity, Prediabetes
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Glen Taksler, PhD principal investigator
The Cleveland Clinic
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Intervention in people with Primary Health Care, run by Glen Taksler at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 11 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: stopped early, as of the sponsor's last update on 26 Apr 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 29 Jun 2021). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Interest in Individualized Preventive Care Recommendations. (time frame: Within 3 days of index primary care appointment.). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03023813, which also lists 20 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Apr 2022.