Opportunity Information: Apply for PA 16 424
Apply for PA 16 424
- The Department of Health and Human Services, Agency for Health Care Research and Quality in the health sector is offering a public funding opportunity titled "Developing Measures of Shared Decision Making (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.226.
- This funding opportunity was created on Sep 08, 2016.
- Applicants must submit their applications by Feb 04, 2022. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $500,000.00 in funding.
- The number of recipients for this funding is limited to 100 candidate(s).
- Eligible applicants include: Native American tribal governments (Federally recognized), Native American tribal organizations (other than Federally recognized tribal governments).
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Opportunity Summary:
The Developing Measures of Shared Decision Making (R01) funding opportunity (PA 16-424) is a discretionary grant program from the U.S. Department of Health and Human Services, administered by the Agency for Healthcare Research and Quality (AHRQ), focused on advancing how shared decision making (SDM) is measured in real-world health care research. SDM is described in the announcement as a collaborative process where patients and their clinical care teams make health decisions together, combining the best available scientific evidence with the patients own priorities, values, preferences, and lived circumstances. The central problem the FOA is trying to address is that, even though SDM is widely promoted as a hallmark of patient-centered care, it has been consistently hard to measure in a rigorous, practical, and comparable way across different settings and studies. The announcement points to gaps and limitations in the existing SDM measurement literature, implying that current tools may be incomplete, inconsistent, burdensome to use, or not well validated across diverse clinical environments.
The purpose of the FOA is to solicit research applications that develop, test, and evaluate SDM measures suitable for use in clinical settings. In practice, that means proposals are expected to go beyond simply describing SDM or encouraging its use; the emphasis is on creating or strengthening measurement approaches that researchers can reliably use in clinics, health systems, and other care delivery contexts. Projects funded under this mechanism would typically be expected to define what aspect(s) of SDM are being measured, create or refine measurement instruments (for example, observational tools, patient-reported or clinician-reported measures, workflow-embedded metrics, or other structured approaches), and then evaluate those measures to demonstrate that they work as intended. That evaluation generally implies attention to core measurement qualities such as reliability, validity, feasibility, sensitivity to change, interpretability, and usability in busy clinical environments, although the FOA summary itself frames this broadly as development, testing, and evaluation.
The award is offered under the R01 research project grant mechanism, which is designed to support substantial, hypothesis-driven or methodologically rigorous research efforts. The opportunity lists an award ceiling of $500,000 and anticipates up to 100 awards, signaling an intent to support a meaningful portfolio of work in this area rather than only a small number of pilot projects. The funding activity category is Health, and the CFDA number associated with the program is 93.226. The opportunity was created on September 8, 2016, and the original closing date is listed as February 4, 2022, indicating the program was available over a multi-year window.
Eligibility, as provided in the source data you shared, includes Native American tribal governments (federally recognized) and Native American tribal organizations (other than federally recognized tribal governments). In other words, the FOA explicitly names tribal entities as eligible applicants, aligning with broader federal priorities to support research capacity and health improvement efforts in tribal communities and organizations. While the summary information does not specify particular clinical topics, diseases, or patient populations, the underlying intent is clear: improve the science and practicality of SDM measurement so that researchers and health systems can more accurately study SDM, compare approaches, identify what works, and ultimately strengthen patient-centered decision making in routine care.
Overall, this opportunity is aimed at the measurement infrastructure behind shared decision making. Rather than funding SDM implementation by itself, it targets the tools needed to assess SDM with enough rigor and practicality that findings can be trusted, replicated, and applied across different clinical settings. By developing better measures, the program seeks to enable stronger research on how SDM happens, when it is effective, and how it can be improved in ways that reflect both scientific evidence and what matters most to patients.
Frequently Asked Questions (FAQs)
What is the name of this funding opportunity?
The opportunity is titled Developing Measures of Shared Decision Making (R01) and is identified as PA 16-424.
Which federal agency sponsors and administers this program?
This is a discretionary grant program from the U.S. Department of Health and Human Services (HHS), administered by the Agency for Healthcare Research and Quality (AHRQ).
What is the main goal of the FOA?
The FOA is focused on advancing how shared decision making (SDM) is measured in real-world health care research. The intent is to improve the science and practicality of SDM measurement so researchers and health systems can assess SDM more rigorously and comparably across different settings and studies.
How does the FOA define shared decision making (SDM)?
SDM is described as a collaborative process in which patients and their clinical care teams make health decisions together by combining the best available scientific evidence with the patient's priorities, values, preferences, and lived circumstances.
Why is AHRQ funding work on SDM measurement?
The FOA highlights a central challenge: even though SDM is widely promoted as a hallmark of patient-centered care, it has been consistently difficult to measure in a rigorous, practical, and comparable way across settings. The announcement points to gaps and limitations in existing SDM measurement tools, suggesting they may be incomplete, inconsistent, burdensome to use, or not well validated across diverse clinical environments.
What type of projects does this opportunity support?
The FOA solicits research applications that develop, test, and evaluate SDM measures that are suitable for use in clinical settings. Applications are expected to focus on measurement approaches researchers can reliably use in clinics, health systems, and other care delivery contexts.
Is this program intended to fund SDM implementation efforts?
The emphasis is not on SDM implementation by itself. The FOA targets the measurement infrastructure behind SDM by supporting the creation or strengthening of tools needed to assess SDM with enough rigor and practicality that findings can be trusted, replicated, and applied across different clinical settings.
What kinds of SDM measures or instruments are mentioned as examples?
The FOA summary mentions examples such as observational tools, patient-reported measures, clinician-reported measures, workflow-embedded metrics, and other structured approaches to measuring SDM.
What are applicants generally expected to do within a funded project?
Based on the FOA description, funded projects would typically be expected to (1) define what aspect(s) of SDM are being measured, (2) create or refine measurement instruments, and (3) evaluate the measures to demonstrate that they work as intended in real-world clinical environments.
What measurement qualities are relevant to the development and evaluation of SDM measures under this FOA?
The FOA broadly frames this as development, testing, and evaluation, and it implies attention to measurement qualities such as reliability, validity, feasibility, sensitivity to change, interpretability, and usability in busy clinical environments.
What grant mechanism is used for this opportunity?
This opportunity uses the R01 research project grant mechanism, which is designed to support substantial, hypothesis-driven or methodologically rigorous research efforts.
What is the award ceiling listed for this opportunity?
The opportunity lists an award ceiling of $500,000.
How many awards does the opportunity anticipate making?
The opportunity anticipates up to 100 awards, indicating an intent to support a meaningful portfolio of work in this area.
What is the funding activity category?
The funding activity category is Health.
What is the CFDA number associated with this program?
The CFDA number associated with the program is 93.226.
When was this opportunity created, and what closing date is listed?
The opportunity was created on September 8, 2016, and the original closing date is listed as February 4, 2022.
Who is eligible to apply based on the provided information?
Eligibility (as provided in the source data shared) includes Native American tribal governments (federally recognized) and Native American tribal organizations (other than federally recognized tribal governments).
Does the FOA specify particular diseases, clinical topics, or patient populations?
The summary information provided does not specify particular clinical topics, diseases, or patient populations. The underlying intent is to improve SDM measurement so researchers and health systems can better study SDM, compare approaches, identify what works, and strengthen patient-centered decision making in routine care.
What is the broader impact AHRQ is aiming for by improving SDM measures?
By developing better SDM measures, the program aims to enable stronger research on how SDM happens, when it is effective, and how it can be improved in ways that reflect both scientific evidence and what matters most to patients.
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