Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Measuring Research Capacity: Development of the PACER Tool

Stephen K. Stacey, Melanie Steiner-Sherwood, Paul Crawford, Joseph W. LeMaster, Catherine McCarty, Tanvir Turin Chowdhury, Amanda Weidner and Peter H. Seidenberg
The Journal of the American Board of Family Medicine November 2024, jabfm.2024.240085R1; DOI: https://doi.org/10.3122/jabfm.2024.240085R1
Stephen K. Stacey
From the Department of Family Medicine, Indiana University School of Medicine, Bloomington, IN (SKS); Department of Family Medicine, Mayo Clinic Health System – Southwest Wisconsin region, La Crosse, WI (MS-S); Military Primary Care Research Network, Indiana University School of Medicine, Indianapolis, IN (PC); Department of Family Medicine and Community Health, Uniformed Services University, Bethesda, MD (JWL); Department of Family Medicine and Biobehavioral Health, University of Kansas School of Medicine, Kansas City, KS (CM); Department of Family Medicine, University of Minnesota Medical School, Duluth, MN (TTC); Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (AW); Department of Family Medicine, University of Washington, Seattle, WA, and LSU Health School of Medicine, Shreveport, LA (PHS).
DO
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Melanie Steiner-Sherwood
From the Department of Family Medicine, Indiana University School of Medicine, Bloomington, IN (SKS); Department of Family Medicine, Mayo Clinic Health System – Southwest Wisconsin region, La Crosse, WI (MS-S); Military Primary Care Research Network, Indiana University School of Medicine, Indianapolis, IN (PC); Department of Family Medicine and Community Health, Uniformed Services University, Bethesda, MD (JWL); Department of Family Medicine and Biobehavioral Health, University of Kansas School of Medicine, Kansas City, KS (CM); Department of Family Medicine, University of Minnesota Medical School, Duluth, MN (TTC); Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (AW); Department of Family Medicine, University of Washington, Seattle, WA, and LSU Health School of Medicine, Shreveport, LA (PHS).
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paul Crawford
From the Department of Family Medicine, Indiana University School of Medicine, Bloomington, IN (SKS); Department of Family Medicine, Mayo Clinic Health System – Southwest Wisconsin region, La Crosse, WI (MS-S); Military Primary Care Research Network, Indiana University School of Medicine, Indianapolis, IN (PC); Department of Family Medicine and Community Health, Uniformed Services University, Bethesda, MD (JWL); Department of Family Medicine and Biobehavioral Health, University of Kansas School of Medicine, Kansas City, KS (CM); Department of Family Medicine, University of Minnesota Medical School, Duluth, MN (TTC); Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (AW); Department of Family Medicine, University of Washington, Seattle, WA, and LSU Health School of Medicine, Shreveport, LA (PHS).
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joseph W. LeMaster
From the Department of Family Medicine, Indiana University School of Medicine, Bloomington, IN (SKS); Department of Family Medicine, Mayo Clinic Health System – Southwest Wisconsin region, La Crosse, WI (MS-S); Military Primary Care Research Network, Indiana University School of Medicine, Indianapolis, IN (PC); Department of Family Medicine and Community Health, Uniformed Services University, Bethesda, MD (JWL); Department of Family Medicine and Biobehavioral Health, University of Kansas School of Medicine, Kansas City, KS (CM); Department of Family Medicine, University of Minnesota Medical School, Duluth, MN (TTC); Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (AW); Department of Family Medicine, University of Washington, Seattle, WA, and LSU Health School of Medicine, Shreveport, LA (PHS).
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Catherine McCarty
From the Department of Family Medicine, Indiana University School of Medicine, Bloomington, IN (SKS); Department of Family Medicine, Mayo Clinic Health System – Southwest Wisconsin region, La Crosse, WI (MS-S); Military Primary Care Research Network, Indiana University School of Medicine, Indianapolis, IN (PC); Department of Family Medicine and Community Health, Uniformed Services University, Bethesda, MD (JWL); Department of Family Medicine and Biobehavioral Health, University of Kansas School of Medicine, Kansas City, KS (CM); Department of Family Medicine, University of Minnesota Medical School, Duluth, MN (TTC); Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (AW); Department of Family Medicine, University of Washington, Seattle, WA, and LSU Health School of Medicine, Shreveport, LA (PHS).
PhD, MPH, HEC-C
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tanvir Turin Chowdhury
From the Department of Family Medicine, Indiana University School of Medicine, Bloomington, IN (SKS); Department of Family Medicine, Mayo Clinic Health System – Southwest Wisconsin region, La Crosse, WI (MS-S); Military Primary Care Research Network, Indiana University School of Medicine, Indianapolis, IN (PC); Department of Family Medicine and Community Health, Uniformed Services University, Bethesda, MD (JWL); Department of Family Medicine and Biobehavioral Health, University of Kansas School of Medicine, Kansas City, KS (CM); Department of Family Medicine, University of Minnesota Medical School, Duluth, MN (TTC); Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (AW); Department of Family Medicine, University of Washington, Seattle, WA, and LSU Health School of Medicine, Shreveport, LA (PHS).
MBBS, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Amanda Weidner
From the Department of Family Medicine, Indiana University School of Medicine, Bloomington, IN (SKS); Department of Family Medicine, Mayo Clinic Health System – Southwest Wisconsin region, La Crosse, WI (MS-S); Military Primary Care Research Network, Indiana University School of Medicine, Indianapolis, IN (PC); Department of Family Medicine and Community Health, Uniformed Services University, Bethesda, MD (JWL); Department of Family Medicine and Biobehavioral Health, University of Kansas School of Medicine, Kansas City, KS (CM); Department of Family Medicine, University of Minnesota Medical School, Duluth, MN (TTC); Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (AW); Department of Family Medicine, University of Washington, Seattle, WA, and LSU Health School of Medicine, Shreveport, LA (PHS).
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peter H. Seidenberg
From the Department of Family Medicine, Indiana University School of Medicine, Bloomington, IN (SKS); Department of Family Medicine, Mayo Clinic Health System – Southwest Wisconsin region, La Crosse, WI (MS-S); Military Primary Care Research Network, Indiana University School of Medicine, Indianapolis, IN (PC); Department of Family Medicine and Community Health, Uniformed Services University, Bethesda, MD (JWL); Department of Family Medicine and Biobehavioral Health, University of Kansas School of Medicine, Kansas City, KS (CM); Department of Family Medicine, University of Minnesota Medical School, Duluth, MN (TTC); Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (AW); Department of Family Medicine, University of Washington, Seattle, WA, and LSU Health School of Medicine, Shreveport, LA (PHS).
MD, MA, FAAFP, FACSM, RMSK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    Figure 1.

    PRISMA flow diagram.

Tables

  • Figures
    • View popup
    Table 1.

    Summary of Findings from Data Extraction

    TitleAuthorPublication YearLocationKey Takeaway
    A metric for academic performance applied to Australian universities 2001 to 2004Sandstrom and Sandstrom132007AustraliaUse of a performance-related model that combines productivity with quality measures using a single database. Measured bibliometric data such as number of publications.
    A simple, generalizable method for measuring individual research productivity and its use in the long-term analysis of departmental performance, including between-country comparisonsWootton62013NorwayDevelopment of an indicator of individual research output based on grant income, publications, and numbers of PhD students supervised.
    Assessing research activity and capacity of community-based organizations: refinement of the CREAT instrument using the Delphi methodHumphries et al142019USDevelopment of the Community REsearch Activity Assessment Tool (CREAT) instrument using a structured Delphi panel. Most metrics are subjective. Objective, numeric measurements include staff and budget.
    Assessing research capacity in Victoria’s south-west health service providersGill et al152019AustraliaImplementation of the Research Capacity and Culture (RCC) tool which had previously been developed by Holden et al, 2012.16
    Assessment of health research capacity in western Sydney local health district (WSLHD): A study on medical, nursing and allied health professionalsLee et al172020AustraliaImplementation of the RCC tool, demonstrating differences between various professionals.16
    Biomedical research productivity: factors across the countriesRahman and Fukui182003JapanAnalyzed country of origin for published articles to determine significant factors relating to research output defined as publications per million population per year. Significant factors included gross national product per capita, research and development expenditure, number of science and engineering students, and number of physicians.
    Building research collaboration networks: an interpersonal perspective for research capacity buildingHuang192014SingaporeHighlights the value of research collaboration networks as evidence of research capacity.
    Common metrics to assess the efficiency of clinical researchRubio202013USIdentification of metrics to assess the efficiency of clinical research processes and outcomes. They identified 15 metrics in 6 categories. Objective, numeric metrics include time for IRB submission to approval, time to publication, and number of technology transfer products. Categories included processes, careers, services, economic return, collaboration, and products.
    Developing indicators for measuring Research Capacity Development in primary care organizations: a consensus approach using a nominal group techniqueSarre and Cooke212009EnglandDevelopment of a list of indicators to measure research capacity development at an organizational level using workshops and modified nominal group technique. Individual metrics include research personnel, funding, membership in research alliances, number of projects, and awards. They were grouped by category according to the model developed by Cooke.22
    Development and use of a research productivity assessment tool for clinicians in low-resource settings in the Pacific Islands: a Delphi studyEkeroma et al42016Fiji, Samoa, Tonga, Vanuatu, Cook Islands, Solomon IslandsFocus group discussions to obtain viewpoints on meaningful research indicators. They developed a tool of 21 subjective and objective indicators. Example metrics include bibliometrics, funding, recognition, collaboration, and personnel.
    Evaluating health research capacity building: an evidence-based toolBates et al232006GhanaDevelopment of a tool to measure clinical research capacity–building programs. The framework was based on reported literature then adapted to the local context through an internal working group. Their resulting tool consisted of a mix of 12 objective and subjective measurements. Sample numeric metrics include bibliometrics, research funding, and researcher remuneration.
    Evaluation of the research capacity and culture of allied health professionals in a large regional public health serviceMatus et al242019AustraliaEvaluation of research among allied health professionals working in a large regional health service using the Research Capacity and Culture (RCC) tool.16 Principal component analyses to determine key components that influence differences between various professional groups.
    How has healthcare research performance been assessed?: a systematic reviewPatel et al252011Articles from several countries were includedSystematic review of indicators of health care research, along with evidence supporting their use. Indicators include publications, citations, impact factor, funding, authorship, population size, h-index, peer reviews, presentations, patents, doctoral students, and editorial responsibilities.
    Indicators for tracking programs to strengthen health research capacity in lower- and middle-income countries: a qualitative synthesisCole et al262014Canada, UK, SwitzerlandQualitative evaluation of research evaluations to identify key indicators of research productivity. Quantitative indicators include awards, trainees with a mentor, workshop attendance, courses run by educational institutions, course attendance, collaboration activity attendance, joint projects, and bibliometrics.
    Measuring research capacity development in healthcare workers: a systematic reviewBilardi et al272021UK, Australia, ItalySystematic review and narrative synthesis of articles containing tools to measure health care workers’ individual research capacities. Many articles contained data on team and organizational level. Many domains of assessment were identified, including skills, motivations, bibliometrics, informatics, communication, collaboration activities, studies, ethics, quality, support, skills, infrastructure, leadership, efficiency, dissemination, culture, and sustainability.
    Measuring, analysis and visualization of research capacity of university at the level of departments and staff membersKotsemir and Shashnov282017RussiaLiterature review on methods of research capacity in the university. Their analysis focuses primarily on bibliometrics, including number of publications, h-index, impact factor of published studies, and articles with evidence of collaboration.
    Nine criteria for a measure of scientific outputKreiman and Maunsell292011USIdentification of qualities that define an effective research metric. They advocate that metrics should be quantitative, based on robust data, rapidly updated and retrospective, presented with CIs, normalized by number of contributors, career stage and discipline, impractical to manipulate, and focused on quality over quantity.
    Rehabilitation Medicine Summit: building research capacityFrontera et al52006USOutcomes of a summit convened to advance and promote research in medical rehabilitation. They identified several important domains of research capacity, including research environment, infrastructure, and culture. Objective indicators they identified include bibliometrics and funding.
    Research capacity building frameworks for allied health professionals - a systematic reviewMatus et al302018AustraliaSystematic review of 5 databases to identify models and frameworks for research capacity building. They identified 3 main themes: supporting clinicians in research, working together, and valuing research for excellence.
    Validation of the research capacity and culture (RCC) tool: measuring RCC at individual, team and organization levelsHolden et al162012AustraliaDevelopment of the Research Capacity and Culture (RCC) tool based on literature review and expert guidance. Validation performed for internal consistency and test-retest reliability. Indicators include funding, bibliometrics, age of researchers, evidence of partnerships and dissemination.
    • Abbreviation: IRB, institutional review board.

    • View popup
    Table 2.

    Productivity and Capacity Evaluation in Research (PACER) Tool

    ItemDescription
    Time frameThe time frame intended for monitoring is up to each department to determine.
    BibliometricsEach publication, presentation, or patent is counted once regardless of the number of authors.
    1. Peer-reviewed publicationsNumber of new original research articles published in the peer-reviewed literature.
    2. Publications other than peer-reviewedNumber of new original research contributions published outside of the peer-reviewed literature (eg, book chapters).
    3. Presentations (oral and poster)Number of new oral and poster presentations given at regional, national, or international meetings or conferences. Presentations may be counted more than once if they are delivered more than once.
    4. Number of published facultyTotal number of faculty who were listed authors on a publication in the peer-reviewed literature.
    5. Number of presenting facultyTotal number of faculty who gave an oral or poster presentation at a regional, national, or international meeting or conference.
    6. Patents filedNumber of new patents filed.
    7. Patents issuedNumber of new patents issued.
    ImpactResearchers include doctoral level and other research faculty as defined under “Personnel.”
    8. New citationsNumber of new citations in peer-reviewed literature of articles written by researchers in the department. This includes new citations for all articles of current researchers, regardless of when the article was published.
    9. Median h-indexMedian h-index for researchers in the department.
    Ongoing researchOngoing research includes projects approved or deemed exempt by an IRB.
    10. New projects with IRB approvalNumber of projects newly approved or deemed exempt within the past year.
    11. Active projects with IRB approvalNumber of projects actively under way. This includes new projects listed above.
    Collaboration activitiesActivities involving participation with organizations outside the department.
    12. Joint activities with other research organizationsNumber of activities as described under “Bibliometrics” or “Ongoing research” which involved direct participation from researchers outside the department (eg, other departments, other schools, or other organizations).
    13. Peer-review panels for research funding proposalsNumber of department faculty who have served on a peer-review panel at the national or international level for extramural/external research or research training funding proposals in the past year.
    14. Personnel participating in national/international research leadershipNumber of department faculty serving in leadership roles in national or international research-focused organizations. This can include committee service with regular meetings (at least twice yearly), committee chair, board of directors, or similar level of leadership.
    FundingFunding is defined as total direct dollar or in-kind support for activities intended to lead to external and peer/editorially reviewed presentations, publications, and dissemination. This includes start-up costs, bridge funding, core funding, pilot project funding, staff time, investigator support, consultation, and supplies.
    15. Internal fundingFunding that the department or institution contributed to research activities.
    16. External funding (including grants)Funding-derived sources external to the department and external to the institution such as outside grants, industry funding, contracts, or philanthropy designated for research.
    17. Other fundingFunding that does not fit in the above categories (eg, endowments, royalties).
    18. Total fundingSum of the 3 funding sources listed above.
    PersonnelOne research FTE includes 40 hours of work per week from personnel in the department whose time is intended to lead to external and peer/editorially reviewed presentations, publications, and dissemination.
    19. Doctoral level research FTETotal research FTE of doctoral-level faculty (not including trainees) with primary academic appointments in the department. This includes FTE (paid time designated or paid effort allocated) directed toward research, regardless of the funding source, for their salary compensation in the specified time frame.
    20. Other research faculty FTETotal research FTE of other research faculty with bachelor’s or master’s level degree (not including trainees) with primary academic appointments in the department. This includes FTE (paid time designated or paid effort allocated) directed toward research, regardless of the funding source, for their salary compensation in the specified time frame.
    21. Nonresearch faculty FTETotal nonresearch FTE of all department personnel at or above master’s level education. This can include time spent for administration, teaching, patient care, or other activities.
    22. Total research administration FTETotal FTE for administrative time of all staff with research leadership roles.
    23. Total faculty FTETotal of the above 4 items
    24. Total facultyTotal FTE for research activities of all faculty who perform or support research activities (even if not their whole job, not including trainees). This includes only faculty directly reporting within the department and does not include research faculty in other departments or organizations paid for with grant funds.
    25. Total research support staff FTETotal FTE for research activities of all staff who support research activities (even if not their whole job, not including trainees). This includes only staff directly reporting within the department and does not include research support staff in other departments or organizations paid for with grant funds. This may include statisticians, study coordinators, or research aides.
    Education/academicsTrainee publications and presentations are included in this section, as well as in the “Bibliometrics” section. Each publication or presentation is counted once in this section regardless of the number of trainee authors.
    26. Research traineesNumber of trainees who were actively involved in research during the past year, even if research is not the primary focus of their education. This includes trainees at all graduate levels who are actively contributing to ongoing research or publication activities and does not include trainees not participating in any such activities.
    27. Trainee publicationsNumber of publications (peer-reviewed or other than peer-reviewed as defined above under Bibliometrics) with a trainee as a listed author.
    28. Trainee presentationsNumber of presentations (oral or poster) with a trainee as a listed author.
    29. Faculty with rank of Assistant ProfessorNumber of research faculty with the academic rank of Assistant Professor or equivalent.
    30. Faculty with rank of Associate ProfessorNumber of research faculty with the academic rank of Associate Professor or equivalent.
    31. Faculty with rank of ProfessorNumber of research faculty with the academic rank of Professor or equivalent.
    • Abbreviations: FTE, full-time equivalent; IRB, institutional review board.

Previous
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 38 (1)
The Journal of the American Board of Family Medicine
Vol. 38, Issue 1
January-February 2025
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Measuring Research Capacity: Development of the PACER Tool
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
8 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Measuring Research Capacity: Development of the PACER Tool
Stephen K. Stacey, Melanie Steiner-Sherwood, Paul Crawford, Joseph W. LeMaster, Catherine McCarty, Tanvir Turin Chowdhury, Amanda Weidner, Peter H. Seidenberg
The Journal of the American Board of Family Medicine Nov 2024, jabfm.2024.240085R1; DOI: 10.3122/jabfm.2024.240085R1

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Measuring Research Capacity: Development of the PACER Tool
Stephen K. Stacey, Melanie Steiner-Sherwood, Paul Crawford, Joseph W. LeMaster, Catherine McCarty, Tanvir Turin Chowdhury, Amanda Weidner, Peter H. Seidenberg
The Journal of the American Board of Family Medicine Nov 2024, jabfm.2024.240085R1; DOI: 10.3122/jabfm.2024.240085R1
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgments
    • Appendix
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Successful Implementation of Integrated Behavioral Health
  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
  • Integrating Adverse Childhood Experiences and Social Risks Screening in Adult Primary Care
Show more Original Research

Similar Articles

Keywords

  • ADFM/NAPCRG Research Summitt 2023
  • Benchmarking
  • Bibliometrics
  • Capacity Building
  • Efficiency
  • Health Care Quality Indicators
  • Health Personnel
  • Leadership
  • Research Personnel
  • Resource Allocation
  • Systematic Review

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire