Evidence map›Paper›PMID 39088341›Full record

ArticleJournal of managed care & specialty pharmacy2024

Considerations for US coverage and reimbursement: Which digital health products to evaluate? Findings from a modified Delphi study.

Jennifer S Graff

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jennifer S GraffInnov8 Health Policy, LLC, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid growth of digital health tools, including digital applications, wearables, sensors, diagnostics, digital therapeutics (DTx), and prescription DTx, offers new ways to treat patients and close gaps in care. Payers need transparent, credible, and efficient processes to differentiate products for potential reimbursement from the larger universe of digital health products.

objectiveTo identify areas of agreement, disagreement, and rationale for payers to determine which digital health products should be evaluated for formulary consideration and to develop generalizable criteria for health care decision-makers developing policies and approaches for digital health products.

methodsExperts from the Academy of Managed Care Pharmacy DTx Advisory Group Payer Evaluation subcommittee rated whether a pharmacy and therapeutics committee, health technology assessment group, or an innovation center within a health plan or pharmacy benefit manager should consider 14 hypothetical products for potential formulary coverage. Using a 4-step modified Delphi approach, experts rated whether it was appropriate for a payer to evaluate each product on a scale of 1 (strongly disagree) to 9 (strongly agree). Quantitative agreement was assessed using terciles of responses, medians, and the distribution of appropriateness scores. The corresponding discussions are summarized to identify generalizable criteria for payers to consider as they develop approaches to determine which digital health products to evaluate.

resultsAmong the 14 hypothetical products, 4 achieved quantitative agreement that payers

conclusionsThe rapid availability of digital health and DTx options can be daunting for health care decision-makers when determining which products to evaluate. These generalizable criteria can help payers develop a more efficient process.

Indexed as

Delphi TechniqueDigital HealthDigital TechnologyHumansInsurance CoverageInsurance, Health, ReimbursementManaged Care ProgramsTechnology Assessment, BiomedicalUnited States

Identifiers

PMID39088341
PMCPMC11293764

What OpenQuestion holds

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Registered trials

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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.