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      • Round 1
        • Item 0: Background & Action Plan
        • Item 1: CER Update Frequency
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        • completed-tasks
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            • Appraisal log — CRIT1–7 rolling table
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            • references
              • diagnostic-accuracy
              • referral-optimisation
                • Armstrong 2018 — Online vs in-person care for psoriasis: equivalency RCT
                • Chuchu 2018 — Cochrane review: teledermatology for diagnosing skin cancer in adults
                • Eminović 2009 — Cluster RCT: teledermatology reduces dermatology referrals
                • Finnane 2017 — Teledermatology for the diagnosis and management of skin cancer: systematic review
                • Giavina-Bianchi 2020 — Teledermatology reduces referrals and waiting times (São Paulo, 30,976 patients)
                • Jain 2021 — AI tool for skin-condition diagnosis by PCPs and NPs in teledermatology
                • Moreno-Ramirez 2007 — Store-and-forward teledermatology in skin-cancer triage (Seville, 2,009 teleconsultations)
                • Snoswell 2016 — Cost-effectiveness of store-and-forward teledermatology: systematic review
                • Whited 2013 — Clinical-course outcomes: store-and-forward teledermatology vs. conventional consultation RCT
              • severity-assessment
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  • Snoswell 2016 — Cost-effectiveness of store-and-forward teledermatology: systematic review

Snoswell 2016 — Cost-effectiveness of store-and-forward teledermatology: systematic review

Citation​

Snoswell C, Finnane A, Janda M, Soyer HP, Whitty JA. Cost-effectiveness of Store-and-Forward Teledermatology: A Systematic Review. JAMA Dermatol. 2016 Jun 1;152(6):702–708. DOI: 10.1001/jamadermatol.2016.0525. PMID 27074289.

Study design and population​

Systematic review of 14 economic evaluations of store-and-forward teledermatology vs. conventional face-to-face (USA, Europe, Australia). CHEERS appraisal applied.

Reported metrics​

  • CHEERS scores 7–21 / 24 (median 17)
  • Store-and-forward teledermatology cost-effective or cost-saving in the majority of included studies
  • Cost-effectiveness improves with patient–dermatologist distance
  • No pooled quantitative CI (heterogeneous endpoints precluded meta-analytic pooling)

Surrogate-to-outcome linkage​

Connects the triage surrogate (avoided in-person referrals) to the health-economic outcome of cost-per-patient and cost-per-avoided-visit — the system-level-outcome channel of Pillar 1. Underpins the favourable cost-outcome trade-off claim for teledermatology / AI-triage pathway redesign.

CRIT1–7 appraisal​

CriterionScoreJustification
CRIT1 Relevance3Direct — cost-effectiveness of teledermatology referral-optimisation pathways.
CRIT2 Methodology3Systematic review with CHEERS appraisal.
CRIT3 Reporting2Qualitative synthesis; no pooled CI.
CRIT4 Applicability3International; EU-relevant.
CRIT5 Evidence weight3Systematic review.
CRIT6 Risk of bias2Sparse evidence base; inconsistent perspectives; few cost-utility analyses.
CRIT7 Contribution3Core anchor for the health-economic leg of Domain 3.

Aggregate: very strong.

Limitations and notes​

Heterogeneous costing perspectives, currencies and time horizons; few formal cost-utility analyses; EU single-payer applicability variable.

Strength as anchor​

Very strong. Only systematic-review-level evidence for cost-effectiveness in the domain. Paired with Datta 2015 (RCT-embedded cost-utility) and Vidal-Alaball 2018 (EU single-payer cost-minimisation) for depth.

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Moreno-Ramirez 2007 — Store-and-forward teledermatology in skin-cancer triage (Seville, 2,009 teleconsultations)
Next
Whited 2013 — Clinical-course outcomes: store-and-forward teledermatology vs. conventional consultation RCT
  • Citation
  • Study design and population
  • Reported metrics
  • Surrogate-to-outcome linkage
  • CRIT1–7 appraisal
  • Limitations and notes
  • Strength as anchor
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