Evidence map›Paper›PMID 37882333›Full record

ReviewMedical decision making : an international journal of the Society for Medical Decision Making2024

Assessing the Value of Provider-Facing Digital Health Technologies Used in Chronic Disease Management: Toward a Value Framework Based on Multistakeholder Perceptions.

Caitlin Main, Madeleine Haig, Danitza Chavez, Panos Kanavos

Abstract readReview
In one paragraph

Review in Medical decision making : an international journal of the Society for Medical Decision Making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors.

Caitlin MainDepartment of Health Policy and Medical Technology Research Group, LSE Health, London School of Economics and Political Science, London, UK.ORCID 0000-0001-5157-5283
Madeleine HaigDepartment of Health Policy and Medical Technology Research Group, LSE Health, London School of Economics and Political Science, London, UK.
Danitza ChavezDepartment of Health Policy and Medical Technology Research Group, LSE Health, London School of Economics and Political Science, London, UK.
Panos KanavosDepartment of Health Policy and Medical Technology Research Group, LSE Health, London School of Economics and Political Science, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHardly any value frameworks exist that are focused on provider-facing digital health technologies (DHTs) for managing chronic disease with diverse stakeholder participation in their creation. Our study aimed to 1) understanding different stakeholder opinions on where value lies in provider-facing technologies and 2) create a comprehensive value assessment framework for DHT assessment.

methodsMixed-methods comprising both primary and secondary evidence were used. A scoping review enabled a greater understanding of the evidence base and generated the initial indicators. Thirty-four indicators were proposed within 6 value domains: health inequalities (3), data rights and governance (6), technical and security characteristics (6), clinical characteristics (7), economic characteristics (9), and user preferences (3). Subsequently, a 3-round Web-Delphi was conducted to rate the indicators' importance in the context of technology assessment and determine whether there was consensus.

resultsThe framework was adapted to 45 indicators based on participant contributions in round 1 and delivered 16 stable indicators with consensus after rounds 2 and 3. Twenty-nine indicators showed instability and/or dissensus, particularly the data rights domain, in which all 5 indicators were unstable, showcasing the novelty of the concept of data rights. Significant instability between

conclusionsOur study provides a comprehensive value assessment framework for assessing provider-facing DHTs incorporating diverse stakeholder perspectives. Instability for specific indicators was expected due to the novelty of data and analytics integration in health technologies and their assessment. Further work is needed to ensure that, across all types of stakeholders, there is a clear understanding of the potential impacts of provider-facing DHTs. HIGHLIGHTS: Current health technology assessment (HTA) methods may not be well suited for evaluating digital health technologies (DHTs) because of their complexity and wide-ranging impact on the health system.This article adds to the literature by exploring a wide range of stakeholder opinions on the value of provider-facing DHTs, creating a holistic value framework for these technologies, and highlighting areas in which further discussions are needed to align stakeholders on DHTs' value attributes.A Web-based Delphi co-creation approach was used involving key stakeholders from throughout the digital health space to generate a widely applicable value framework for assessing provider-facing DHTs. The stakeholders include patients, health care professionals, supply-side actors, decision makers, and academia from the United States, United Kingdom, and Germany.High levels of instability among stakeholders and value domains are demonstrated, indicating the novelty of assessing provider-facing DHTs and their impact on the health system.

Indexed as

PolicyAttitudeGermanyHumansUnited KingdomUnited Statesdecision-makingdelphi exercisedigital health technologyhealth technology assessmentvalue framework

Identifiers

PMID37882333
PMCPMC10714693

What OpenQuestion holds

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LicenceCC BY-NC
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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.