Evidence map›Paper›PMID 33370405›Full record

ArticlePloS one2020

Understanding the use of patient-reported data by health care insurers: A scoping review.

Anne Neubert, Óscar Brito Fernandes, Armin Lucevic, Milena Pavlova, László Gulácsi, Petra Baji, Niek Klazinga, Dionne Kringos

Open access · goldAbstract readScoping Review
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Point-Of-Care Respiratory Diagnosis and Antibiotic Utilization in the Emergency Department: A Prospective Evaluation of Multiplex PCR.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
    Article
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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 at 4 institutions in 3 countries.

Anne NeubertDepartment of Orthopaedics and Traumatology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-6323-3747
Óscar Brito FernandesDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.ORCID 0000-0002-3212-373X
Armin LucevicDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Milena PavlovaDepartment of Health Services Research, CAPHRI, Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, The Netherlands.
László GulácsiDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Petra BajiDepartment of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
Niek KlazingaDepartment of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health research institute, Amsterdam, The Netherlands.
Dionne KringosDepartment of Public and Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health research institute, Amsterdam, The Netherlands.
Corvinus University of Budapest · HUAmsterdam University Medical Centers · NLHeinrich Heine University Düsseldorf · DEMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-reported data are widely used for many purposes by different actors within a health system. However, little is known about the use of such data by health insurers. Our study aims to map the evidence on the use of patient-reported data by health insurers; to explore how collected patient-reported data are utilized; and to elucidate the motives of why patient-reported data are collected by health insurers.

methodsThe study design is that of a scoping review. In total, 11 databases were searched on. Relevant grey literature was identified through online searches, reference mining and recommendations from experts. Forty-two documents were included. We synthesized the evidence on the uses of patient-reported data by insurers following a structure-process-outcome approach; we also mapped the use and function of those data by a health insurer.

resultsHealth insurers use patient-reported data for assurance and improvement of quality of care and value-based health care. The patient-reported data most often collected are those of outcomes, experiences and satisfaction measures; structure indicators are used to a lesser extent and often combined with process indicators. These data are mainly used for the purposes of procurement and purchasing of services, quality assurance, improvement and reporting, and strengthening the involvement of insured people.

conclusionsThe breadth to which insurers use patient-reported data in their business models varies greatly. Some hindering factors to the uptake of such data are the varying and overlapping terminology in use in the field and the limited involvement of insured people in a health insurer's business. Health insurers are advised to be more explicit in regard to the role they want to play within the health system and society at large, and accommodate implications for the use of patient-reported data accordingly.

Indexed as

Insurance CarriersPatient Reported Outcome MeasuresDatabases, FactualData CollectionHumansInsurance, Health

Identifiers

PMID33370405
PMCPMC7769438
OpenAlexW3114163911

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.