Evidence map›Paper›PMID 33064095›Full record

ArticleJournal of participatory medicine2020

Guiding Pay-As-You-Live Health Insurance Models Toward Responsible Innovation in Health.

Hassane Alami, Lysanne Rivard, Robson Rocha de Oliveira, Pascale Lehoux, Stéphanie Bernadette Mafalda Cadeddu, Mathilde Savoldelli, Mohamed Ali Ag Ahmed, Jean-Paul Fortin

Abstract read
In one paragraph

Article in Journal of participatory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Virtual Care and the Inverse Care Law: Implications for Policy, Practice, Research, Public and Patients.International journal of environmental research and public health · 2022
    Article
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

8 authors.

Hassane Alami *Center for Public Health Research, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-5461-7693
Lysanne Rivard *Center for Public Health Research, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-4650-2543
Robson Rocha de OliveiraCenter for Public Health Research, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-4135-676X
Pascale LehouxCenter for Public Health Research, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-9482-1800
Stéphanie Bernadette Mafalda CadedduHospital Research Centre, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-5203-6465
Mathilde SavoldelliSchool for Advanced Studies in Public Health, Rennes, France.ORCID https://orcid.org/0000-0003-2747-7936
Mohamed Ali Ag AhmedResearch Chair on Chronic Diseases in Primary Care, Université de Sherbrooke, Chicoutimi, QC, Canada.ORCID https://orcid.org/0000-0001-9374-871X
Jean-Paul FortinResearch Center on Healthcare and Services in Primary Care, Université Laval, Quebec, QC, Canada.ORCID https://orcid.org/0000-0002-4107-9937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the transition toward digitalized health care and service delivery challenges many publicly and privately funded health systems, patients are already producing a phenomenal amount of data on their health and lifestyle through their personal use of mobile technologies. To extract value from such user-generated data, a new insurance model is emerging called Pay-As-You-Live (PAYL). This model differs from other insurance models by offering to support clients in the management of their health in a more interactive yet directive manner. Despite significant promises for clients, there are critical issues that remain unaddressed, especially as PAYL models can significantly disrupt current collective insurance models and question the social contract in so-called universal and public health systems. In this paper, we discuss the following issues of concern: the quantification of health-related behavior, the burden of proof of compliance, client data privacy, and the potential threat to health insurance models based on risk mutualization. We explore how more responsible health insurance models in the digital health era could be developed, particularly by drawing from the Responsible Innovation in Health framework.

Indexed as

clientdigital healthhealth datahealth determinantshealth inequityhealth insurancehealth systemPay-As-You-Livequantified-selfresponsible innovation in healthsocial contract

Identifiers

PMID33064095
PMCPMC7543981

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.