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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03954184
Other study ID # 2018-0997
Secondary ID A195010ENGR/INDU
Status Completed
Phase N/A
First received
Last updated
Start date September 3, 2019
Est. completion date June 30, 2023

Study information

Verified date July 2023
Source University of Wisconsin, Madison
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

This research will test a technology adoption framework to increase use of the A-CHESS smartphone app. The project, based in Iowa, will compare a control condition (using a typical product training approach to software implementation that includes user tutorials and instruction on administrative and clinical protocols, followed by access to on-line support) to the typical product training combined with NIATx-TI. Terms - A-CHESS: Addiction Comprehensive Health Enhancement Support System NIATx-TI: Network for the Improvement of Addiction Treatment-Technology Implementation


Description:

Patient-centered e-health has failed to achieve its promise despite considerable consumer interest in technology and research supporting its potential. E-health adoption rates in healthcare are poor, with specialty substance use disorder (SUD) treatment having the lowest technology adoption rate of any sector. Implementation science can address this emerging gap in the e-health field by augmenting existing models, that explain organizational and individual e-health behaviors retrospectively, with prospective models that can guide implementation. The organizational planning discipline, with its decades of research, could provide a cross-disciplinary "jump start" to developing an e-health implementation model for health organizations. Henry Mintzberg, a respected pioneer in this field, describes 2 beneficial approaches to planning: the deliberate approach, which is grounded in pre-implementation planning, and the emergent approach that is grounded in adapting to the environment as the plan is implemented. The proposed e-health implementation model, called the Network for the Improvement of Addiction Treatment-Technology Implementation (NIATx-TI) Framework, incorporates both approaches. NIATx-TI was piloted in the Iowa Rural Health Information Technology Initiative (IRHIT) with 14 of Iowa's 105 SUD treatment sites and resulted in a 2-fold increase in patients receiving distance treatment. The framework's deliberate component includes using an organizational technology assessment and patient simulation. These tools identify and address assets and barriers to incorporate into the technology's implementation protocol. The framework's emergent component includes using a project team to uncover and prioritize implementation barriers as they arise, develop changes to address identified barriers, and monitor selected adoption measures, while receiving monthly coaching. This project, based in Iowa, will compare a control condition (using a typical product training approach to software implementation that includes user tutorials and instruction on administrative and clinical protocols, followed by access to on-line support) to the typical product training combined with NIATx-TI. While e-health spans many modalities and health disciplines, this project will focus on the implementing Addiction Comprehensive Health Enhancement Support System (A-CHESS), an evidence-based SUD treatment recovery app developed by our Center for a disease that affects 21.5 million and kills 136,000 Americans annually: substance use disorder. A mobile app was selected, as opposed to another e-health technology, because of the near ubiquitous daily use of mobile technology and because mobile e-health adoption requires supportive participation of both health centers and patients. In response to the COVID-19 pandemic, the study team added a study component focused on describing how patients are responding to receiving remote treatment (e.g., telehealth). The study team will also seek to understand how using A-CHESS mitigates COVID-19 associated anxiety and loneliness among those with substance use disorders.


Recruitment information / eligibility

Status Completed
Enrollment 39
Est. completion date June 30, 2023
Est. primary completion date June 30, 2023
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Must be 18+ years old - Understand English - Have a SUD diagnosis - Have access to a smartphone Exclusion Criteria:

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
NIATx-TI with Product Training/On-line Support
NIATx-TI framework includes the product training as well as a preimplementation phase and a post-implementation phase. A NIATx-TI coach will provide the training for this arm. The coach will also assist the organizations with applying the NIATx-TI framework.

Locations

Country Name City State
United States Zion Recovery Services Adel Iowa
United States Prairie Ridge Integrated Behavioral Healthcare Algona Iowa
United States Community and Family Resources Ames Iowa
United States Area Substance Abuse Council Anamosa Iowa
United States UCS Healthcare Ankeny Iowa
United States Zion Recovery Services Atlantic Iowa
United States Area Substance Abuse Council Belle Plaine Iowa
United States Community and Family Resources Boone Iowa
United States Alcohol and Drug Dependency Services (ADDS) Burlington Iowa
United States Area Substance Abuse Council Cedar Rapids Iowa
United States Prairie Ridge Integrated Behavioral Healthcare Charles City Iowa
United States Jackson Recovery Centers Cherokee Iowa
United States Prelude Behavioral Health Services Clarence Iowa
United States Zion Recovery Services Clarinda Iowa
United States Community and Family Resources Clarion Iowa
United States Heartland Family Services Council Bluffs Iowa
United States Area Substance Abuse Council De Witt Iowa
United States Jackson Recovery Centers Denison Iowa
United States House of Mercy Des Moines Iowa
United States Prelude Behavioral Health Services Des Moines Iowa
United States UCS Healthcare Des Moines Iowa
United States Substance Abuse Services Center Dubuque Iowa
United States Prairie Ridge Integrated Behavioral Healthcare Forest City Iowa
United States Community and Family Resources Fort Dodge Iowa
United States Heartland Family Services Glenwood Iowa
United States Zion Recovery Services Greenfield Iowa
United States Prairie Ridge Integrated Behavioral Healthcare Hampton Iowa
United States Community and Family Resources Humboldt Iowa
United States House of Mercy Indianola Iowa
United States Prelude Behavioral Services Iowa City Iowa
United States ADDS Keokuk Iowa
United States UCS Healthcare Knoxville Iowa
United States Jackson Recovery Centers Le Mars Iowa
United States Heartland Family Services Logan Iowa
United States Area Substance Abuse Council Maquoketa Iowa
United States Prelude Behavioral Health Services Marengo Iowa
United States Prairie Ridge Integrated Behavioral Healthcare Mason City Iowa
United States ADDS Mount Pleasant Iowa
United States House of Mercy Newton Iowa
United States Zion Recovery Services Perry Iowa
United States Community and Family Resources Pocahontas Iowa
United States Zion Recovery Services Red Oak Iowa
United States Community and Family Resources Rockwell City Iowa
United States Zion Recovery Services Shenandoah Iowa
United States Jackson Recovery Centers Sioux City Iowa
United States Prelude Behavioral Services Tipton Iowa
United States Area Substance ABuse Council Vinton Iowa
United States ADDS Wapello Iowa
United States Community and Family Resources Webster City Iowa

Sponsors (4)

Lead Sponsor Collaborator
University of Wisconsin, Madison Iowa Department of Public Health, National Institute on Drug Abuse (NIDA), University of Iowa

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Other Supplement 1 - Understand impact of ACHESS on pt anxiety and loneliness during COVID-19 pandemic Online survey M34-37
Other Supplement 2 - Understand how treatment organizations and staff used ACHESS during COVID pandemic Online survey M34-37
Primary Reach: As assessed by the percentage of participants that download the A-CHESS app The percentage of participants that download the A-CHESS app will be obtained monthly during the study via the A-CHESS server and Iowa Department of Public Health (IDPH) data. Monthly, up to 52 months
Primary Reach: As assessed by the number of days that participants use the A-CHESS The frequency of use of A-CHESS by each participant will be obtained monthly during the study via the A-CHESS server and Iowa Department of Public Health (IDPH) data. Monthly, up to 52 months
Secondary Effectiveness of A-CHESS as assessed by the retention rate of eligible participants. Retention rates of eligible participants Collected monthly during months 13 - 52
Secondary Adoption: Number of days each counselor used the A-CHESS Number of days each counselor used the A-CHESS will be assessed by A-CHESS logs Monthly, up to 52 months
Secondary Adoption - The percentage of counselors using A-CHESS will be assessed via the organizational survey and A-CHESS logs Organizational survey will be completed by a member of the management team two times during the project (organizational baseline, end of the intervention) Collected twice during study; starting M22 - 31 and M35-44
Secondary A-CHESS/NIATx Implementation Fidelity (Survey) Survey data on participating organizations' fidelity to the NIATx Technology Implementation (NIATx-TI) process. Collected twice during study; approx. M14 - 25 and M32 - 43
Secondary Organizational readiness of participating organizations as assessed by Organizational Change Manager (Survey) Survey data on the organizational readiness of participating organizations. Collected twice during study; approx. M14 - 25 and M32 - 43
Secondary Financial Resource Availability (Survey) Survey data on how the organization's financial resource availability affects A-CHESS implementation. Collected twice during study; starting M22 - 31 and M35-44
Secondary Difference in number of admissions in rural vs. urban location Statistical analysis of organizational traits will be done by calculating the difference in number of admissions in rural vs. urban location Collected during months 7, 18, 30, and 42
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