Evidence map›Paper›PMID 39679469›Full record

ArticleJournal of primary care & community health

Systematic Automated Population-Based Surveillance to Improve Outcomes in Primary Cutaneous Melanoma.

Allison Ching, Kathryn Pedula, Theresa Devere, Cheryl Aruga, Stacey Honda, Karen Ching

Abstract read
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Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Allison ChingKaiser Permanente Hawaii, Honolulu, HI, USA.ORCID 0009-0002-3771-0527
Kathryn PedulaHawaii Permanente Medical Group, Honolulu, HI, USA.
Theresa DevereHawaii Permanente Medical Group, Honolulu, HI, USA.
Cheryl ArugaHawaii Permanente Medical Group, Honolulu, HI, USA.
Stacey HondaHawaii Permanente Medical Group, Honolulu, HI, USA.
Karen ChingHawaii Permanente Medical Group, Honolulu, HI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importancePatients with a primary cutaneous melanoma (PCM) are at increased risk of developing a second primary melanoma (SPM). Earlier stage at diagnosis is associated with better 5-year mortality, yet low compliance with recommended follow-up after treatment for PCM and high rates of patients lost to follow-up are reported in the literature. Strategies to enhance population-based surveillance for SPM have not been well described.

objectiveTo determine whether the implementation of a systematic automated population-based program (SAPP) to ensure dermatologist total body skin exams (TBSEs) in the PCM population compared to the pre-automated period and pre-database periods improves compliance with follow-up, detects more SPMs, or affects mortality?

designQuality Improvement Study.

settingLarge integrated health care system with internalized Dermatology services.

participantsMembers with a PCM prior to, or during the study periods of interest, were included in this quality improvement study. There were 6317 eligible individuals with PCMs in 3 study periods: pre-Database (1/1/2005-11/1/2009), pre-Automation (11/1/09-7/31/15), and post-Automation (8/1/15-12/31/2021), respectively. INTERVENTION(S) OR EXPOSURE(S): Manual registry for melanoma patients (pre-Automation) and systematic automated population-based program for PCM patients (post-Automation). MAIN OUTCOME(S) AND MEASURE(S): Mean number of TBSE per person-year. Time Between TBSE. Incidence of SPM detection. Stage of SPM at diagnosis. Melanoma Death and All-Cause Mortality.

resultsIn patients with PCM, a SAPP to ensure dermatologist TBSE, reduces median time (months) between TBSEs from 12.3 pre-Database to 8.2 post-Automation (stage 0-2a PCM) and from 10.3 to 6.8 (stage 2b-4 PCM;

conclusionImplementing a systematic, automated population-based Melanoma program to ensure dermatologist TBSEs improves compliance with follow-up in patients with PCM. More patients received at least annual dermatologist TBSEs and more SPMs were detected at earlier stages. Improvements were sustained and there were significantly lower all-cause and melanoma-cause mortality. The system facilitates prioritization of higher risk patients for intervention and is a unique strategy enhancing patient safety, efficiency, and timeliness of care.

Indexed as

MelanomaPopulation SurveillanceQuality ImprovementSkin NeoplasmsAdultAgedCutaneous Malignant MelanomaEarly Detection of CancerFemaleHumansMaleMiddle Agedcutaneous melanomamelanomascreeningsecond primary melanomasurveillancetotal body skin examination

Identifiers

PMID39679469
PMCPMC11648005

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.