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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
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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
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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
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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
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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
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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
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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
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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
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References

  1. 1.↵
    1. Kilmarx PH,
    2. Maitin T,
    3. Adam T,
    4. et al
    . Increasing effectiveness and equity in strengthening health research capacity using data and metrics: recent advances of the ESSENCE mechanism. Ann Glob Health 2023;89:38.
    OpenUrlPubMed
  2. 2.↵
    1. Myers BA,
    2. Kahn KL
    . Practical publication metrics for academics. Clin Transl Sci 2021;14:1705–12.
    OpenUrlPubMed
  3. 3.↵
    1. Cooke J,
    2. Nancarrow S,
    3. Dyas J,
    4. Williams M
    . An evaluation of the 'Designated Research Team' approach to building research capacity in primary care. BMC Fam Pract 2008;9:37.
    OpenUrlPubMed
  4. 4.↵
    1. Ekeroma AJ,
    2. Shulruf B,
    3. McCowan L,
    4. Hill AG,
    5. Kenealy T
    . Development and use of a research productivity assessment tool for clinicians in low-resource settings in the Pacific Islands: a Delphi study. Health Res Policy Syst 2016;14:9.
    OpenUrlPubMed
  5. 5.↵
    1. Frontera WR,
    2. Fuhrer MJ,
    3. Jette AM,
    4. et al
    . Rehabilitation medicine summit: building research capacity. J Spinal Cord Med 2006;29:70–81.
    OpenUrlPubMed
  6. 6.↵
    1. Wootton R
    . A simple, generalizable method for measuring individual research productivity and its use in the long-term analysis of departmental performance, including between-country comparisons. Health Res Policy Syst 2013;11:2.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Ewigman B,
    2. Davis A,
    3. Vansaghi T,
    4. et al
    . Building research & scholarship capacity in departments of family medicine: a new joint Adfm-Napcrg initiative. Ann Fam Med 2016;14:82–3.
    OpenUrlFREE Full Text
  8. 8.↵
    1. Arksey H,
    2. O'Malley L
    . Scoping studies: towards a methodological framework. Int J Soc Res Methodol 2005;8:19–32.
    OpenUrlCrossRef
  9. 9.↵
    1. Levac D,
    2. Colquhoun H,
    3. O'Brien KK
    . Scoping studies: advancing the methodology. Implement Sci 2010;5:69.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Cooper S,
    2. Cant R,
    3. Kelly M,
    4. et al
    . An evidence-based checklist for improving scoping review quality. Clin Nurs Res 2021;30:230–40.
    OpenUrlPubMed
  11. 11.↵
    1. Ouzzani M,
    2. Hammady H,
    3. Fedorowicz Z,
    4. Elmagarmid A
    . Rayyan-a web and mobile app for systematic reviews. Syst Rev 2016;5:210.
    OpenUrlCrossRefPubMed
  12. 12.↵
    1. Tricco AC,
    2. Lillie E,
    3. Zarin W,
    4. et al
    . PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med 2018;169:467–73.
    OpenUrlCrossRefPubMed
  13. 13.
    1. Sandstrom U,
    2. Sandstrom E
    . A metric for academic performance applied to Australian universities 2001-2004. Accessed Oct 2, 2023. Available at: http://eprints.rclis.org/10577/1/2metrics.pdf.
  14. 14.
    1. Humphries D,
    2. Ma M,
    3. Collins N,
    4. et al
    . Assessing research activity and capacity of community-based organizations: refinement of the CREAT instrument using the Delphi method. J Urban Health 2019;96:912–22.
    OpenUrlPubMed
  15. 15.
    1. Gill SD,
    2. Gwini SM,
    3. Otmar R,
    4. Lane SE,
    5. Quirk F,
    6. Fuscaldo G
    . Assessing research capacity in Victoria's south-west health service providers. Aust J Rural Health 2019;27:505–13.
    OpenUrlPubMed
  16. 16.
    1. Holden L,
    2. Pager S,
    3. Golenko X,
    4. Ware RS
    . Validation of the research capacity and culture (RCC) tool: measuring RCC at individual, team and organisation levels. Aust J Prim Health 2012;18:62–7.
    OpenUrlCrossRefPubMed
  17. 17.
    1. Lee SA,
    2. Byth K,
    3. Gifford JA,
    4. et al
    . Assessment of health research capacity in Western Sydney Local Health District (WSLHD): a study on medical, nursing and allied health professionals. J Multidiscip Healthc 2020;13:153–63.
    OpenUrlPubMed
  18. 18.
    1. Rahman M,
    2. Fukui T
    . Biomedical research productivity: factors across the countries. Int J Technol Assess Health Care 2003;19:249–52.
    OpenUrlCrossRefPubMedWeb of Science
  19. 19.
    1. Huang JS
    . Building research collaboration networks - an interpersonal perspective for research capacity building. J Res Adm 2014;45:89–112.
    OpenUrl
  20. 20.
    1. Rubio DM
    . Common metrics to assess the efficiency of clinical research. Eval Health Prof 2013;36:432–46.
    OpenUrlCrossRefPubMed
  21. 21.
    1. Sarre G,
    2. Cooke J
    . Developing indicators for measuring research capacity development in primary care organizations: a consensus approach using a nominal group technique. Health Soc Care Community 2009;17:244–53.
    OpenUrlCrossRefPubMedWeb of Science
  22. 22.↵
    1. Cooke J
    . A framework to evaluate research capacity building in health care. BMC Fam Pract 2005;6:44.
    OpenUrlCrossRefPubMed
  23. 23.
    1. Bates I,
    2. Akoto AY,
    3. Ansong D,
    4. et al
    . Evaluating health research capacity building: an evidence-based tool. PLoS Med 2006;3:e299.
    OpenUrlCrossRefPubMed
  24. 24.
    1. Matus J,
    2. Wenke R,
    3. Hughes I,
    4. Mickan S
    . Evaluation of the research capacity and culture of allied health professionals in a large regional public health service. J Multidiscip Healthc 2019;12:83–96.
    OpenUrlPubMed
  25. 25.↵
    1. Patel VM,
    2. Ashrafian H,
    3. Ahmed K,
    4. et al
    . How has healthcare research performance been assessed?: a systematic review. J R Soc Med 2011;104:251–61.
    OpenUrlCrossRefPubMed
  26. 26.
    1. Cole DC,
    2. Boyd A,
    3. Aslanyan G,
    4. Bates I
    . Indicators for tracking programmes to strengthen health research capacity in lower- and middle-income countries: a qualitative synthesis. Health Res Policy Syst 2014;12:17.
    OpenUrlPubMed
  27. 27.
    1. Bilardi D,
    2. Rapa E,
    3. Bernays S,
    4. Lang T
    . Measuring research capacity development in healthcare workers: a systematic review. BMJ Open 2021;11:e046796.
    OpenUrlAbstract/FREE Full Text
  28. 28.
    1. Kotsemir M,
    2. Shashnov S
    . Measuring, analysis and visualization of research capacity of university at the level of departments and staff members. Scientometrics 2017;112:1659–89.
    OpenUrl
  29. 29.↵
    1. Kreiman G,
    2. Maunsell JH
    . Nine criteria for a measure of scientific output. Front Comput Neurosci 2011;5:48.
    OpenUrlPubMed
  30. 30.
    1. Matus J,
    2. Walker A,
    3. Mickan S
    . Research capacity building frameworks for allied health professionals - a systematic review. BMC Health Serv Res 2018;18:716.
    OpenUrlPubMed
  31. 31.↵
    1. Boulkedid R,
    2. Abdoul H,
    3. Loustau M,
    4. Sibony O,
    5. Alberti C
    . Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review. PLoS One 2011;6:e20476.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Godin B
    . On the origins of bibliometrics. Scientometrics 2006;68:109–33.
    OpenUrlCrossRefWeb of Science
  33. 33.↵
    1. Roldan-Valadez E,
    2. Salazar-Ruiz SY,
    3. Ibarra-Contreras R,
    4. Rios C
    . Current concepts on bibliometrics: a brief review about impact factor, Eigenfactor score, CiteScore, SCImago journal rank, source-normalised impact per paper, H-index, and alternative metrics. Ir J Med Sci 2019;188:939–51.
    OpenUrlCrossRefPubMed
  34. 34.↵
    1. Blakeman K
    . Bibliometrics in a digital age: help or hindrance. Sci Prog 2018;101:293–310.
    OpenUrlPubMed
  35. 35.↵
    1. Chandrashekhar Y,
    2. Narula J
    . Challenges for research publications: what is journal quality and how to measure it? J Am Coll Cardiol 2015;65:1702–5.
    OpenUrlFREE Full Text
  36. 36.↵
    1. Belter CW
    . Bibliometric indicators: opportunities and limits. J Med Libr Assoc 2015;103:219–21.
    OpenUrlCrossRefPubMed
  37. 37.↵
    1. Lodato JE,
    2. Aziz N,
    3. Bennett RE,
    4. Abernethy AP,
    5. Kutner JS
    . Achieving palliative care research efficiency through defining and benchmarking performance metrics. Curr Opin Support Palliat Care 2012;6:533–42.
    OpenUrlCrossRefPubMed
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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
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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

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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
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Keywords

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

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