Evidence map›Paper›PMID 41966150›Full record

ArticleInternational journal of health policy and management2025

Optimizing Performance Monitoring of Value-Based Healthcare: The Role of Generic Patient Population Dashboards Comment on "Reflections on Managing the Performance of Value-Based Healthcare: A Scoping Review".

Marieke Sijm-Eeken, Jurrien Burren, Céline van Lint

Abstract readComment
In one paragraph

Article in International journal of health policy and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Marieke Sijm-EekenDepartment of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-4104-5112
Jurrien BurrenAmsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Céline van LintDepartment of Quality and Patient Care, Erasmus MC University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-7929-7622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Value-based healthcare (VBHC) provides a framework for enhancing health outcomes relative to costs, however its implementation depends on robust and inclusive performance monitoring systems. In their recent scoping review, van Elten et al examined the role of performance management in VBHC but adopted a narrow focus on patient-perceived outcomes. This commentary extends their findings by highlighting two key recommendations: expanding performance measurement beyond patient-perceived value to include provider experience, innovation, and transparency, and implementing generic patient population dashboards to streamline VBHC monitoring. Drawing on practical implementation experience at Dutch academic hospitals, we propose broadening literature search criteria to include cross-organizational studies and grey literature from established VBHC organizations. Furthermore, we outline criteria-identified through co-design sessions with healthcare professionals-for selecting generic indicators and designing dashboards that support efficient, organization-wide VBHC monitoring. These insights seek to enhance the theoretical and practical understanding of VBHC monitoring while promoting the advancement of transparent, value-driven healthcare systems.

Indexed as

Delivery of Health CareQuality Indicators, Health CareQuality of Health CareHumansNetherlandsScoping Reviews as TopicValue-Based Health CareDashboardPerformancePerformance ManagementValue-Based Healthcare

Identifiers

PMID41966150
PMCPMC12958231

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.