ASCEND: ApproacheS to CHC ImplEmeNtation of SDH Data Collection and Action (ASCEND)

January 5, 2026 updated by: Kaiser Permanente
This work will test a set of strategies for helping community health centers (CHCs) routinely identify and take action on the SDH-related needs of patients with / at risk for DM using a stakeholder-driven process to develop EHR-based SDH data collection / summary tools for CHCs.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

This work will test a set of strategies for helping community health centers(CHCs) routinely identify and take action on the SDH-related needs of patients with / at risk for DM. The work will specifically study: (a) EHR-based SDH data collection / action in CHCs, and (b) the impact of a set of scalable implementation strategies known to support clinical practice changes (the 'SDH Action Plan'), on CHCs' adoption of SDH data collection and action. Focusing on DM risk management and obesity prevention outcomes in adult patients, the investigators will conduct a mixed methods formative evaluation of SDH data collection uptake among CHCs that had SDH data tools activated in their EHR in June 2016. (Quantitative data will come from all 440 CHCs' shared EHR, qualitative data from 10-12 CHCs purposively recruited from this pool). Identify patterns of SDH data collection in these diverse CHCs, and clinic-level factors associated with variation in SDH data collection rates. Use results to fine-tune the SDH Action Plan intervention's strategies for helping CHCs systematically: (i) collect SDH data in standard workflows, and (ii) integrate SDH data into care plans (e.g., making referrals to social services; adapting treatment plans) for adults with / at risk for DM.

Through a pragmatic, stepped-wedge, cluster-randomized trial in 30 CHCs, the CHCs will be randomized to one of five 6-month wedges, with staggered timing. CHCs in each wedge will receive intensive implementation support (the SDH Action Plan). This scalable intervention includes both comprehensive technical assistance and training materials designed to help CHCs plan for and implement SDH data collection / action, and six months of remote access to an 'SDH Implementation Team' that will tailor implementation support to each CHC's needs, with an emphasis on the Building Blocks of Primary Care.45 To test this approach, the investigators will conduct a realist evaluation of whether and how the SDH Action Plan intervention improves: (i) SDH data collection in CHC workflows; (ii) integration of SDH data into DM risk management care; and (iii) clinical measures associated with effective DM risk management (controlled blood pressure, HbA1c, BMI, lipids, etc.; up-to-date preventive care). H3a: Intervention CHCs will have significantly greater increases in (i) SDH data collection, and (ii) actions taken to address SDH needs, compared to control CHCs. H3b: Patients at intervention CHCs for whom SDH data are collected will have significant improvements in DM / obesity risk management / receipt of related preventive care, compared to those at control CHCs.

Study Type

Observational

Enrollment (Actual)

31

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Oregon
      • Portland, Oregon, United States, 97227
        • Kaiser Permanente Center for Health Research

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Any persons who are at risk for type 2 diabetes seen at the participating study CHC.

Description

Inclusion Criteria:

  • Any persons who are at risk for type 2 diabetes
  • May include some subjects with mental health conditions of various types; however, it is important to systematically address high DM /obesity risk in this population, because such patients may be at risk for elevated high DM /obesity risk and have often been excluded or underrepresented in previous research studies.
  • Decisionally/cognitively impaired
  • Economically/educationally disadvantaged
  • Non-English Speakers
  • Elderly

Exclusion Criteria:

  • Neonates of uncertain viability or nonviable neonates (up to 28 days post birth)
  • Prisoners

Note: The investigators are not enrolling patients for this clinic-randomized study, but rather studying the uptake and impact of a set of EHR-based clinical decision support tools into regular care at the participating clinics. In this clinic-randomized trial, the intervention / randomization are clinic level. The intervention targets clinic processes that are part of the regular care patients receive, and will not require special visits.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Ecologic or Community
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Wedge 1
4 randomized clinics will implement SDH tool.
The SDH tool is embedded in the EMR to collect and act on individualized social determinants of health data.
Wedge 2
5 randomized clinics implement SDH tool 24 weeks following prior wedge implementation.
The SDH tool is embedded in the EMR to collect and act on individualized social determinants of health data.
Wedge 3
5 randomized clinics implement SDH tool 24 weeks following prior wedge implementation.
The SDH tool is embedded in the EMR to collect and act on individualized social determinants of health data.
Wedge 4
5 randomized clinics implement SDH tool 24 weeks following prior wedge implementation.
The SDH tool is embedded in the EMR to collect and act on individualized social determinants of health data.
Wedge 5
6 randomized clinics implement SDH tool 24 weeks following prior wedge implementation.
The SDH tool is embedded in the EMR to collect and act on individualized social determinants of health data.
Wedge 6
6 randomized clinics implement SDH tool 24 weeks following prior wedge implementation.
The SDH tool is embedded in the EMR to collect and act on individualized social determinants of health data.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Social Risk Screening
Time Frame: During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)
Average differences are reported comparing the pre-intervention period (6 months or more) to (1) the six-month intervention period and (2) the post-intervention period (6 months or more). Numerator is measured as the number of patients with documented social risk screening results entered at a clinical encounter in the measurement period (excluding those only for COVID-19 testing/vaccination, as many people received these services at the study sites who were not otherwise patients at these clinics). Denominator is total patients seen in that period. Domains of social risk screening included child/family care insecurity, education, employment, financial strain, food insecurity, health insurance, health literacy, housing instability, inadequate physical activity, relationship safety, social isolation, stress, transportation needs, and utilities insecurity.
During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Social Risk Referral
Time Frame: During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)
Average differences are reported comparing the pre-intervention period (6 months or more) to (1) the six-month intervention period and (2) the post-intervention period (6 months or more). Monthly clinic rate of provision of social risk-related referrals, measured as the number of patients with a documented referral among all patients seen in the measurement period (regardless of whether social risk screening was documented). This outcome included referrals internal (e.g., to a social worker) or external (e.g., to housing services) to the clinic. Denominator is total patients seen in that period.
During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)
Control of DM Risk Management Biomarkers: Blood Pressure (BP)
Time Frame: During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)
Average differences are reported comparing the pre-intervention period (6 months or more) to (1) the six-month intervention period and (2) the post-intervention period (6 months or more). Numerator is measured as the percent of patients with BP controlled (<140/80 mmHg)--measured with systolic and diastolic pressure, denominator is total patients seen in that period with the needed follow-up data. This table is a subpopulation cohort comprised of patients with an encounter during the study period and established diabetes before the second month of their clinic's baseline period (excluding pregnant women).
During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)
Control of DM Risk Management Biomarkers: HbA1c
Time Frame: During 6-month intervention and postintervention (6-months or more, all months from the intervention period's end through December 2021)
Average differences are reported comparing the pre-intervention period (6 months or more) to (1) the six-month intervention period and (2) the post-intervention period (6 months or more). Numerator is measured as the percent of patients with A1c controlled (<7.0%), denominator is total patients seen in that period with the needed follow-up data. This table is a subpopulation cohort comprised of patients with an encounter during the study period and established diabetes before the second month of their clinic's baseline period (excluding pregnant women).
During 6-month intervention and postintervention (6-months or more, all months from the intervention period's end through December 2021)
Control of DM Risk Management Biomarkers: LDL
Time Frame: During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)
Average differences are reported comparing the pre-intervention period (6 months or more) to (1) the six-month intervention period and (2) the post-intervention period (6 months or more). Numerator is measured as the percent of patients with Low-density lipoprotein (LDL) controlled (l<100 mg/dL), denominator is total patients seen in that period with the needed follow-up data. This table is a subpopulation cohort comprised of patients with an encounter during the study period and established diabetes before the second month of their clinic's baseline period (excluding pregnant women).
During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)
DM Key Tests (Screening, Percent up to Date)
Time Frame: During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)
Average differences are reported comparing the pre-intervention period (6 months or more) to (1) the six-month intervention period and (2) the post-intervention period (6 months or more). Numerator is measured as the rate of patients with up-to-date on DM key tests (annual low-density lipoprotein (LDL), biannual hemoglobin A1C (HbA1c)), denominator is total patients seen in that period with the needed follow-up data. This table is a subpopulation cohort comprised of patients with an encounter during the study period and established diabetes before the second month of their clinic's baseline period (excluding pregnant women).
During 6-month intervention and postintervention (6 months or more, all months from the intervention period's end through December 2021)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Investigators

  • Principal Investigator: Rachel Gold, PhD, MPH, Kaiser Permanente

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 3, 2018

Primary Completion (Actual)

January 15, 2022

Study Completion (Actual)

July 31, 2023

Study Registration Dates

First Submitted

June 1, 2018

First Submitted That Met QC Criteria

July 23, 2018

First Posted (Actual)

July 31, 2018

Study Record Updates

Last Update Posted (Actual)

January 22, 2026

Last Update Submitted That Met QC Criteria

January 5, 2026

Last Verified

December 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • 1R18DK114701-01 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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