Evidence map›Paper›PMID 36466488›Full record

ArticleFrontiers in public health2022

Implementing value-based healthcare using a digital health exchange platform to improve pregnancy and childbirth outcomes in urban and rural Kenya.

Peter Dohmen, Teresa De Sanctis, Emma Waiyaiya, Wendy Janssens, Tobias Rinke de Wit, Nicole Spieker, Mark Van der Graaf, Erik M Van Raaij

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Peter DohmenRotterdam School of Management, Erasmus University Rotterdam, Rotterdam, Netherlands.
Teresa De SanctisPharmAccess Foundation, Amsterdam, Netherlands.
Emma WaiyaiyaPharmAccess Foundation, Nairobi, Kenya.
Wendy JanssensSchool of Business and Economics, VU Amsterdam, Amsterdam, Netherlands.
Tobias Rinke de WitPharmAccess Foundation, Amsterdam, Netherlands.
Nicole SpiekerPharmAccess Foundation, Amsterdam, Netherlands.
Mark Van der GraafPharmAccess Foundation, Amsterdam, Netherlands.
Erik M Van RaaijRotterdam School of Management, Erasmus University Rotterdam, Rotterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal and neonatal mortality rates in many low- and middle-income countries (LMICs) are still far above the targets of the United Nations Sustainable Development Goal 3. Value-based healthcare (VBHC) has the potential to outperform traditional supply-driven approaches in changing this dismal situation, and significantly improve maternal, neonatal and child health (MNCH) outcomes. We developed a theory of change and used a cohort-based implementation approach to create short and long learning cycles along which different components of the VBHC framework were introduced and evaluated in Kenya. At the core of the approach was a value-based care bundle for maternity care, with predefined cost and quality of care using WHO guidelines and adjusted to the risk profile of the pregnancy. The care bundle was implemented using a digital exchange platform that connects pregnant women, clinics and payers. The platform manages financial transactions, enables bi-directional communication with pregnant women

Indexed as

Maternal Health ServicesChildCommunicationDelivery of Health CareFemaleHumansInfant, NewbornKenyaPovertyPregnancycohort-based implementationdigital healthLMICMNCHoutcome measurementvalue-based healthcare

Identifiers

PMID36466488
PMCPMC9712749

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.