HIV I InfectionNCT03584048
Charlotte Retention in Care Study
An observational study of HIV I Infection, run by Epividian at 4 sites in United States.
Trial summary
The objective of the Charlotte Retention in Care study is to assess if clinical decision support systems (CDSS) that produce standardized alerts for measures of retention in care across clinics in the city of Charlotte, North Carolina have the ability to increase retention in care measures within clinics and in… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- HIV I Infection
- What is being tested?
- Alert to provider
- How many people
- 6,500 participants
- Where
- 4 sitesUnited States
- Study dates
- 1 Jul 2018to 31 Oct 2019
- How long will I take part?
- 17 Months
- Phase
- Observational
- Are there results?
- None posted in the registry
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 18 years and older
- All sexes
- Adult, Older adult
Study population: HIV-1+, males, females, transgender, ≥18 years of age, residing in the Charlotte Metropolitan Area and with at least a single entry in the EHR in the last 2 years.
Who may be able to join
- HIV-1+
- Any gender
- 18 years old or older
- Residing in the Charlotte, North Carolina metropolitan area
- At least a single entry in the EHR in the last 2 years
Who cannot join
None listed.
Trial locations and contacts
4 sites in 1 country.
United States4 sites
Atrium Health
Charlotte, North Carolina, 28209
Amity Group Foundation
Charlotte, North Carolina, 28215
Ballantyne Family Medicine
Charlotte, North Carolina, 28215
Rosedale Medical
Huntersville, North Carolina, 28078
About this study
Official title: Charlotte Retention in Care Study - Clinical Decision Support System Prompts
The objective of the Charlotte Retention in Care study is to assess if clinical decision support systems (CDSS) that produce standardized alerts for measures of retention in care across clinics in the city of Charlotte, North Carolina have the ability to increase retention in care measures within clinics and in surveillance reports.
Read the detailed description
Multiple Charlotte HIV Clinic providers are participating. "Primary" HIV provider will be defined as the primary physician or advanced care practitioner following a patient, as recorded in their respective Electronic Health Record (EHR) system and identified through CHORUS, a Clinical Decision Support System (CDSS) developed by Epividian. The CDSS will track patient case status as active or inactive (loss to follow-up, transferred medical care, or deceased). Providers will be informed of the study and sites will be contracted to participate in this collaborative research study. This study was approved by the Advarra Institutional Review Board.
- Conditions
- HIV I Infection
- Being tested
- Alert to provider
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Alert to providerOther
Providers receive alerts of sub-optimal patient attendance using 4 rules.
| Study group | Role | What they receive |
|---|---|---|
| HIV-1 | HIV-1+, males, females, transgender, ≥18 years of age, residing in the Charlotte Metropolitan Area and with at least a single entry in the EHR in the last 2 years. Receives: Other: Alert to provider |
What is being measured
The primary outcome is the main question the study is designed to answer.
Engagement level
Pre and post-baseline engagement level. Engagement level is defined as patients with 0, 1, or 2+ visits to physician (identified as a visit that included the collection of 1 viral load and/or 1 CD4 count lab test).
Measured: 12 months, 01-Nov-2018 to 31-Oct-2019
Secondary outcomes (1)
Kept appointment
Pre and post-baseline "kept appointment rate", the proportion of patients who attended their scheduled office visits.
Measured: 12 months, 01-Nov-2018 to 31-Oct-2019
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Jul 2018
- Study start1 Jul 2018
- Primary completion31 Oct 2019
- Study completion31 Oct 2019
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (23)Papers the sponsor has linked to this study.
- Other trials for HIV I InfectionStudies 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
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 6,500 participants (actual)
- Target duration
- 17 Months
Sponsor and investigators
- Lead sponsor
- Epividian
- Sponsor type
- Industry (pharma, biotech, devices)
- Collaborators
- ViiV Healthcare
- Responsible party
- Sponsor
- Investigators
- Michael Leonard, MD, Principal investigator, Atrium Health (Carolinas HealthCare System)
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03584048
- Sponsor's protocol ID
- HO-18-19095
- Status last verified
- Oct 2019
- First submitted
- 17 May 2018
- Last updated
- 4 Nov 2021
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: No Protected Health Information (PHI) is shared outside of clinic. De-identified data available only to authorized researchers via Epividian Clinical Advisory Board approval.
Publications
Bakken S. An informatics infrastructure is essential for evidence-based practice. J Am Med Inform Assoc. 2001 May-Jun;8(3):199-201. doi: 10.1136/jamia.2001.0080199.
PubMed 11320064Bates DW, Gawande AA. Improving safety with information technology. N Engl J Med. 2003 Jun 19;348(25):2526-34. doi: 10.1056/NEJMsa020847. No abstract available.
PubMed 12815139Bakken S, Cimino JJ, Hripcsak G. Promoting patient safety and enabling evidence-based practice through informatics. Med Care. 2004 Feb;42(2 Suppl):II49-56. doi: 10.1097/01.mlr.0000109125.00113.f4.
PubMed 14734942Jenders RA, Osheroff JA, Sittig DF, Pifer EA, Teich JM. Recommendations for clinical decision support deployment: synthesis of a roundtable of medical directors of information systems. AMIA Annu Symp Proc. 2007 Oct 11;2007:359-63.
PubMed 18693858Schulman J, Kuperman GJ, Kharbanda A, Kaushal R. Discovering how to think about a hospital patient information system by struggling to evaluate it: a committee's journal. J Am Med Inform Assoc. 2007 Sep-Oct;14(5):537-41. doi: 10.1197/jamia.M2436. Epub 2007 Jun 28.
PubMed 17600095Patel V, Abramson EL, Edwards A, Malhotra S, Kaushal R. Physicians' potential use and preferences related to health information exchange. Int J Med Inform. 2011 Mar;80(3):171-80. doi: 10.1016/j.ijmedinf.2010.11.008. Epub 2010 Dec 14.
PubMed 21156351Middleton B, Hammond WE, Brennan PF, Cooper GF. Accelerating U.S. EHR adoption: how to get there from here. recommendations based on the 2004 ACMI retreat. J Am Med Inform Assoc. 2005 Jan-Feb;12(1):13-9. doi: 10.1197/jamia.M1669. Epub 2004 Oct 18.
PubMed 15492028Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, Sam J, Haynes RB. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005 Mar 9;293(10):1223-38. doi: 10.1001/jama.293.10.1223.
PubMed 15755945Poon EG, Wald J, Bates DW, Middleton B, Kuperman GJ, Gandhi TK. Supporting patient care beyond the clinical encounter: three informatics innovations from partners health care. AMIA Annu Symp Proc. 2003;2003:1072.
PubMed 14728575Bakken S, Roberts WD, Chen E, Dilone J, Lee NJ, Mendonca E, Markatou M. PDA-based informatics strategies for tobacco use screening and smoking cessation management: a case study. Stud Health Technol Inform. 2007;129(Pt 2):1447-51.
PubMed 17911954Bindoff IK, Tenni PC, Peterson GM, Kang BH, Jackson SL. Development of an intelligent decision support system for medication review. J Clin Pharm Ther. 2007 Feb;32(1):81-8. doi: 10.1111/j.1365-2710.2007.00801.x.
PubMed 17286791Dickey J, Girard DE, Geheb MA, Cassel CK. Using systems-based practice to integrate education and clinical services. Med Teach. 2004 Aug;26(5):428-34. doi: 10.1080/01421590410001730967.
PubMed 15369883Grant RW, Wald JS, Poon EG, Schnipper JL, Gandhi TK, Volk LA, Middleton B. Design and implementation of a web-based patient portal linked to an ambulatory care electronic health record: patient gateway for diabetes collaborative care. Diabetes Technol Ther. 2006 Oct;8(5):576-86. doi: 10.1089/dia.2006.8.576.
PubMed 17037972Hsieh TC, Kuperman GJ, Jaggi T, Hojnowski-Diaz P, Fiskio J, Williams DH, Bates DW, Gandhi TK. Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system. J Am Med Inform Assoc. 2004 Nov-Dec;11(6):482-91. doi: 10.1197/jamia.M1556. Epub 2004 Aug 6.
PubMed 15298998Lester WT, Ashburner JM, Grant RW, Chueh HC, Barry MJ, Atlas SJ. Mammography FastTrack: an intervention to facilitate reminders for breast cancer screening across a heterogeneous multi-clinic primary care network. J Am Med Inform Assoc. 2009 Mar-Apr;16(2):187-95. doi: 10.1197/jamia.M2813. Epub 2008 Dec 11.
PubMed 19074304
Study at a glance
From the registry record, last updated by the sponsor on 4 Nov 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Charlotte Retention in Care Study - Clinical Decision Support System Prompts
- ClinicalTrials.gov ID
- NCT03584048
- Acronym / sponsor ID
- HO-18-19095
- Conditions
- HIV I Infection
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 6,500 participants (actual)
- Lead sponsor
- EpividianIndustry (pharma, biotech, devices)
- Collaborators
- ViiV Healthcare
- Study start
- 1 Jul 2018 (actual)
- Primary completion
- 31 Oct 2019 (actual)
- Study completion
- 31 Oct 2019 (actual)
- First posted
- 12 Jul 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The objective of the Charlotte Retention in Care study is to assess if clinical decision support systems (CDSS) that produce standardized alerts for measures of retention in care across clinics in the city of Charlotte, North Carolina have the ability to increase retention in care measures within clinics and in surveillance reports.
Detailed description
Multiple Charlotte HIV Clinic providers are participating. "Primary" HIV provider will be defined as the primary physician or advanced care practitioner following a patient, as recorded in their respective Electronic Health Record (EHR) system and identified through CHORUS, a Clinical Decision Support System (CDSS) developed by Epividian. The CDSS will track patient case status as active or inactive (loss to follow-up, transferred medical care, or deceased). Providers will be informed of the study and sites will be contracted to participate in this collaborative research study. This study was approved by the Advarra Institutional Review Board.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 17 Months
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| HIV-1 | – | Other: Alert to providerHIV-1+, males, females, transgender, ≥18 years of age, residing in the Charlotte Metropolitan Area and with at least a single entry in the EHR in the last 2 years. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Age groups
- Adult, Older adult
- Study population
- HIV-1+, males, females, transgender, ≥18 years of age, residing in the Charlotte Metropolitan Area and with at least a single entry in the EHR in the last 2 years.
Key inclusion criteria (5 listed)
- HIV-1+
- Any gender
- 18 years old or older
- Residing in the Charlotte, North Carolina metropolitan area
- At least a single entry in the EHR in the last 2 years
Key exclusion criteria (0 listed)
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 |
|---|---|---|
| Alert to providerProviders receive alerts of sub-optimal patient attendance using 4 rules. | Other | HIV-1 |
Primary outcome
Engagement level
Time frame: 12 months, 01-Nov-2018 to 31-Oct-2019
Pre and post-baseline engagement level. Engagement level is defined as patients with 0, 1, or 2+ visits to physician (identified as a visit that included the collection of 1 viral load and/or 1 CD4 count lab test).
1 secondary outcome
Kept appointment
Time frame: 12 months, 01-Nov-2018 to 31-Oct-2019
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Nov 2021.
- Background: PubMed 11320064Bakken S. An informatics infrastructure is essential for evidence-based practice. J Am Med Inform Assoc. 2001 May-Jun;8(3):199-201. doi: 10.1136/jamia.2001.0080199.
- Background: PubMed 12815139Bates DW, Gawande AA. Improving safety with information technology. N Engl J Med. 2003 Jun 19;348(25):2526-34. doi: 10.1056/NEJMsa020847. No abstract available.
- Background: PubMed 14734942Bakken S, Cimino JJ, Hripcsak G. Promoting patient safety and enabling evidence-based practice through informatics. Med Care. 2004 Feb;42(2 Suppl):II49-56. doi: 10.1097/01.mlr.0000109125.00113.f4.
- Background: PubMed 18693858Jenders RA, Osheroff JA, Sittig DF, Pifer EA, Teich JM. Recommendations for clinical decision support deployment: synthesis of a roundtable of medical directors of information systems. AMIA Annu Symp Proc. 2007 Oct 11;2007:359-63.
- Background: PubMed 17600095Schulman J, Kuperman GJ, Kharbanda A, Kaushal R. Discovering how to think about a hospital patient information system by struggling to evaluate it: a committee's journal. J Am Med Inform Assoc. 2007 Sep-Oct;14(5):537-41. doi: 10.1197/jamia.M2436. Epub 2007 Jun 28.
- Background: PubMed 21156351Patel V, Abramson EL, Edwards A, Malhotra S, Kaushal R. Physicians' potential use and preferences related to health information exchange. Int J Med Inform. 2011 Mar;80(3):171-80. doi: 10.1016/j.ijmedinf.2010.11.008. Epub 2010 Dec 14.
- Background: PubMed 15492028Middleton B, Hammond WE, Brennan PF, Cooper GF. Accelerating U.S. EHR adoption: how to get there from here. recommendations based on the 2004 ACMI retreat. J Am Med Inform Assoc. 2005 Jan-Feb;12(1):13-9. doi: 10.1197/jamia.M1669. Epub 2004 Oct 18.
- Background: PubMed 15755945Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, Sam J, Haynes RB. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005 Mar 9;293(10):1223-38. doi: 10.1001/jama.293.10.1223.
- Background: PubMed 14728575Poon EG, Wald J, Bates DW, Middleton B, Kuperman GJ, Gandhi TK. Supporting patient care beyond the clinical encounter: three informatics innovations from partners health care. AMIA Annu Symp Proc. 2003;2003:1072.
- Background: PubMed 17911954Bakken S, Roberts WD, Chen E, Dilone J, Lee NJ, Mendonca E, Markatou M. PDA-based informatics strategies for tobacco use screening and smoking cessation management: a case study. Stud Health Technol Inform. 2007;129(Pt 2):1447-51.
- Background: PubMed 17286791Bindoff IK, Tenni PC, Peterson GM, Kang BH, Jackson SL. Development of an intelligent decision support system for medication review. J Clin Pharm Ther. 2007 Feb;32(1):81-8. doi: 10.1111/j.1365-2710.2007.00801.x.
- Background: PubMed 15369883Dickey J, Girard DE, Geheb MA, Cassel CK. Using systems-based practice to integrate education and clinical services. Med Teach. 2004 Aug;26(5):428-34. doi: 10.1080/01421590410001730967.
- Individual participant dataSharing planned: No. No Protected Health Information (PHI) is shared outside of clinic. De-identified data available only to authorized researchers via Epividian Clinical Advisory Board approval.
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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.
Michael Leonard, MD principal investigator
Atrium Health (Carolinas HealthCare System)
4 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of HIV I Infection, run by Epividian at 4 sites 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 5 inclusion and 0 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: finished, as of the sponsor's last update on 4 Nov 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 4 sites 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
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?
Engagement level (time frame: 12 months, 01-Nov-2018 to 31-Oct-2019). 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 NCT03584048, which also lists 23 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 4 Nov 2021.