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EditorialOriginal Research

A Primary Care Intervention to Improve Melanoma Detection and Management

Alexandra Verdieck, Elizabeth Berry, Heather Holderness, Adeeb Haroon, Maria N. Danna, Jeremy Erroba, Sancy Leachman, Talia Hodes, Emile Latour, Elizabeth Stoos, Deborah Cohen and Sue Flocke
The Journal of the American Board of Family Medicine January 2026, 39 (1) 159447; DOI: https://doi.org/10.3122/jabfm.2025.250110R2
Alexandra Verdieck
1 Department of Family Medicine Oregon Health & Science University https://ror.org/009avj582
MD
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Elizabeth Berry
2 Department of Dermatology Oregon Health & Science University https://ror.org/009avj582
MD
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Heather Holderness
1 Department of Family Medicine Oregon Health & Science University https://ror.org/009avj582
MPH
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Adeeb Haroon
2 Department of Dermatology Oregon Health & Science University https://ror.org/009avj582
MD
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Maria N. Danna
2 Department of Dermatology Oregon Health & Science University https://ror.org/009avj582
MA
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Jeremy Erroba
1 Department of Family Medicine Oregon Health & Science University https://ror.org/009avj582
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Sancy Leachman
3 Department of Dermatology University of Utah https://ror.org/03r0ha626
MD
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Talia Hodes
1 Department of Family Medicine Oregon Health & Science University https://ror.org/009avj582
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Emile Latour
2 Department of Dermatology Oregon Health & Science University https://ror.org/009avj582
MS
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Elizabeth Stoos
2 Department of Dermatology Oregon Health & Science University https://ror.org/009avj582
MD
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Deborah Cohen
1 Department of Family Medicine Oregon Health & Science University https://ror.org/009avj582
PhD
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Sue Flocke
1 Department of Family Medicine Oregon Health & Science University https://ror.org/009avj582
PhD
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  • Article
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Article Figures & Data

Figures

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  • Supplementary Materials
  • Figure 1.
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    Figure 1. MelaNOma Participant Flowsheet.

    Notes: A flowsheet of participant training and data collection. Those who participated in MelaNOma Intervention were trained. Two participants from the trained group and fourteen participants form the control group were excluded due to insufficient number of months of practice for EHR analysis. 

    Abbreviations: Electronic Health Record (EHR), Federally Qualified Health Center (FQHC), Rural Health Clinic (RHC)

  • Figure 2.
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    Figure 2. MelaNOma Study Intervention and Data Collection Timeline.

Tables

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    • View popup
    Table 1. Components of the MelaNOma Educational Intervention.
    TrainingProgram PurposeContent/ Learning ObjectivesMode of delivery
    Primary Training Session:
    Enhancing Skin Cancer Early Detection and Treatment in Primary Care
    Improve the screening and identification of melanoma and how to diagnose and triage in primary care
    Improve the use of existing systems of care to enhance skin cancer care
    • Identify normal versus abnormal lesions

    • Recognize patients with elevated skin cancer risk

    • Practice hands-on smart phone dermatoscope use

    • Demonstrate how to take photos with EHR

    • Describe preferential biopsy techniques

    • Discuss the different ways patients can receive skin cancer care outside of the traditional referral system

    Live in-person; virtual
    Booster Training: Case-based “Snackable” via E-mailDeliver small bite-sized case-based questions with information to reinforce learnings and promote application in practice
    • Identify normal versus abnormal lesions

    • Review melanoma risk factors

    • Identify workflows for suspicious lesions

    Weekly emails with a quiz question, 5 emails in total.
    Second Live Training: Dermoscopy Skill BoosterBuild further skills for identification, dermatoscope and EHR tool use
    • Review of abnormal lesion characteristics

    • Practice hands- on photography and dermoscopy

    • Illustrate how primary care doctors and dermatologists visualize and triage skin lesions

    Live in-person; virtual

    Abbreviation: Electronic Health Record (EHR).

      • View popup
      Table 2. MelaNOma Study Measures, Variables and Data Sources.
      Variable/ Definition Data Source Data Collection / Analysis
      Compare changes in knowledge
      Clinician Knowledge - Clinicians’ knowledge of risks, lesion identification and management of melanomaAssessed via survey using 27 items. 17 lesion identification and biopsy items are drawn from prior study. The study team wrote the remaining 10 items.Clinicians completed a web survey prior to and after the first training session. Surveys are matched by unique study identifier such that an individual change score can be computed.
      An overall knowledge score (all 27 items), Risk Assessment Knowledge (6 items), Knowledge of EHR tools (4 items) and Lesion Identification & Biopsy (17 items). Items are scored correct or incorrect and the score for total and subscores are represented as percent correct, ranging from 0-100%.
      Compare changes in process of skin cancer assessment, referral and documentation
      Dermatology assessment – use of screening toolElectronic Health Record (EHR) data abstracted through manual and automated methodsOperationalized at the clinician level representing the number per 1000 patients. Indicators are measured pre- and post-training.
      Dermatology e-consult, reason for e-Consult
      Documentation - Use of Dot phrase*
      Dermatology referral, reason for referral
      Use of Medical photography for dermatology - binary variable indicating whether medical photography image was made.
      Compare Changes in Number of Melanomas Identified by Biopsy
      Number of biopsies and biopsy findings – counts and rates per 1000 patients indicating average biopsies per clinician and biopsy findings number of biopsies per 1000 patientsEHR data abstracted through manual and automated methodsOperationalized at the clinician level.
      Assess the feasibility, appropriateness and acceptability of Melanoma Training
      Acceptability – Extent to which the training is agreeable, palatable, satisfactoryAssessed via semi-structured interview.Qualitative Interviews with clinicians exposed to the training
      Appropriateness – Extent to which the training fits and is compatible for addressing issue or problem
      Feasibility - Extent to which the training can be successfully used or carried out

      * AVS-After visit summaries: SKINCANCERAVS - adult, SKINCANCERAVSPEDS - pediatrics; Skin cancer physical exam phrase SKINCANCERPE. Biopsy phrases: SKINCANCERPUNCHBX and SKINCANCERSHAVEBXS. Screening tool: SKINCASCREEN.

        • View popup
        Table 3. Participant Characteristics.
        Total
        n=44
        Training exposure
        n=15
        No Training exposure
        n=29
        Characteristics
        Sex, female28 (63.6%)10 (66.7%)18 (62.1%)
        Degree
        MD/DO37 (84.1%)10 (66.7%)27 (93.1%)
        PA/NP7 (15.9%)5 (33.3%)2 (6.9%)
        Resident (vs attending)11 (25.0%)0 (0.0%)11 (37.9%)
        Rural site (vs urban FQHC)27 (61.4%)10 (66.7%)17 (58.6%)

        Abbreviation: Federal Qualified Health Clinic (FQHC)

          • View popup
          Table 4. Clinician Knowledge of Skin Cancer Risk, Identification & Biopsy.
          Survey Content Pre-Training Survey
          N=16
          Post-Training Survey
          N=12
          Pre-Post Change
          N=10
          P
          Total Score (27 items/survey)72.1 (7.2)80.8 (9.6)8.1 (9.1) 0.02
          Risk Assessment Knowledge (6 items)66.7 (18.3)79.2 (12.6)11.7 (20.9)0.11
          Knowledge of EHR tools (4 items)68.8 (22.7)66.7 (24.6)-3.3 (29.2)0.73
          Lesion Identification & Biopsy (17 items)74.6 (10.7)83.8 (11.3)8.8 (12.5)0.05

          Abbreviation: Electronic Health Record (EHR)

            • View popup
            Table 5. Rate of Referrals, e-Consults and EHR Tool Use at Baseline and Post-MelaNOma Training for Clinics 1 & 2 by Training Exposure Group*.
            Training Exposure No Exposure Group by time interaction
            Baseline
            (N = 15)
            Post-Training (N = 15) Baseline
            (N = 29)
            Post-Training (N = 29) P-Value
            Total Number of Visits 79727339988810432
            Dermatology Referral 16.911.413.814.1 0.02
            Reason for Referral
            Biopsy proven skin cancer that needs surgery0.10.10.00.2 <.01
            Concern for skin cancer3.13.52.92.70.57
            Routine skin check4.82.12.54.6 <.01
            Skin lesion not cancer concern1.20.71.11.10.39
            Other6.75.05.45.6 0.04
            Unknown1.10.01.90.00.99
            Dermatology e-Consult 5.57.85.17.20.50
            Lesion (evaluate for skin cancer)1.64.80.92.10.05
            Atypical Skin Ulcer/Wound0.30.50.60.10.46
            Inflammatory Skin Rashes0.00.11.50.6 <.01
            Unknown1.20.31.01.50.06
            Dot phrases
            SKINCANCERAVS**0.00.70.00.3 0.01
            Medical photography (photo taken during primary care clinician visit)
            All photographs (any)33.636.747.155.80.99
            Photographs specific to skin lesion concern10.811.98.811.90.84

            Notes: *All rates are calculated based on per 1000 patients. **SKINCANCERAVS: Skin cancer after visit summary.

            Abbreviation: Electronic Health Record (EHR).

              • View popup
              Table 6. Clinician Biopsy Rates (N = 44).*
              Training Exposure No Exposure Group × time interaction
              Baseline Post-Training Baseline Post-Training P-Value **
              (N = 15) (N = 15) (N = 29) (N = 29)
              Number of Biopsies4.1974.7121.8533.650.391
              Biopsy finding
              Lesion-specific3.3534.1751.3353.5730.286
              Benign lesions3.3533.7461.1132.8470.303
              Malignant lesions00.4290.2220.726N/A
              Melanoma00.10900N/A
              SCC00.320.1280.498N/A
              BCC000.0530.088N/A
              Other skin cancers000.0410N/A
              Rashes / Inflammatory0.8440.5370.5190.0770.094

              Notes: *All rates are calculated based on per 1000 patients. **P values with N/A indicate where models were not run due to small counts or models did not converge.

              Abbreviations: BCC- Basal Cell Carcinoma, SCC- Squamous Cell Carcinoma

              Supplementary Materials

              • Figures
              • Tables
              • Appendix 1a.

                [jabfm_2026_39_1_159447_336585.pdf]

              • Appendix 1b.

                [jabfm_2026_39_1_159447_336586.pdf]

              • Appendix 2.

                [jabfm_2026_39_1_159447_336587.pdf]

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              The Journal of the American Board of Family     Medicine: 39 (1)
              The Journal of the American Board of Family Medicine
              Vol. 39, Issue 1
              1 Jan 2026
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              A Primary Care Intervention to Improve Melanoma Detection and Management
              Alexandra Verdieck, Elizabeth Berry, Heather Holderness, Adeeb Haroon, Maria N. Danna, Jeremy Erroba, Sancy Leachman, Talia Hodes, Emile Latour, Elizabeth Stoos, Deborah Cohen, Sue Flocke
              The Journal of the American Board of Family Medicine Jan 2026, 39 (1) 159447; DOI: 10.3122/jabfm.2025.250110R2

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              A Primary Care Intervention to Improve Melanoma Detection and Management
              Alexandra Verdieck, Elizabeth Berry, Heather Holderness, Adeeb Haroon, Maria N. Danna, Jeremy Erroba, Sancy Leachman, Talia Hodes, Emile Latour, Elizabeth Stoos, Deborah Cohen, Sue Flocke
              The Journal of the American Board of Family Medicine Jan 2026, 39 (1) 159447; DOI: 10.3122/jabfm.2025.250110R2
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              Keywords

              • Access to Care
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