Evidence map›Paper›PMID 35597936›Full record

ArticleBMC health services research2022

Developing and validating high-value patient digital follow-up services: a pilot study in cardiac surgery.

A Londral, S Azevedo, P Dias, C Ramos, J Santos, F Martins, R Silva, H Semedo, C Vital, A Gualdino and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 13% 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, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. 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

14 authors at 4 institutions in 1 country.

A LondralValue for Health CoLAB, Lisbon, Portugal. ana.londral@vohcolab.org.
S AzevedoValue for Health CoLAB, Lisbon, Portugal.
P DiasValue for Health CoLAB, Lisbon, Portugal.
C RamosValue for Health CoLAB, Lisbon, Portugal.
J SantosComprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
F MartinsValue for Health CoLAB, Lisbon, Portugal.
R SilvaValue for Health CoLAB, Lisbon, Portugal.
H SemedoHospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
C VitalHospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
A GualdinoHospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
J FalcãoHospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
L V LapãoComprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
P CoelhoComprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
J G FragataComprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
Universidade Nova de Lisboa · PTHospital de Santa Marta · PTUniversity of Lisbon · PTCentro Tecnológico do Calçado de Portugal · PT

Funding

Fundação para a Ciência e a Tecnologia DSAIPA/AI/0094/2020Fundação para a Ciência e a Tecnologia Lisboa-05-3559-FSE-3
6 · The paper itself

Abstract

backgroundThe existing digital healthcare solutions demand a service development approach that assesses needs, experience, and outcomes, to develop high-value digital healthcare services. The objective of this study was to develop a digital transformation of the patients' follow-up service after cardiac surgery, based on a remote patient monitoring service that would respond to the real context challenges.

methodsThe study followed the Design Science Research methodology framework and incorporated concepts from the Lean startup method to start designing a minimal viable product (MVP) from the available resources. The service was implemented in a pilot study with 29 patients in 4 iterative develop-test-learn cycles, with the engagement of developers, researchers, clinical teams, and patients.

resultsPatients reported outcomes daily for 30 days after surgery through Internet-of-Things (IoT) devices and a mobile app. The service's evaluation considered experience, feasibility, and effectiveness. It generated high satisfaction and high adherence among users, fewer readmissions, with an average of 7 ± 4.5 clinical actions per patient, primarily due to abnormal systolic blood pressure or wound-related issues.

conclusionsWe propose a 6-step methodology to design and validate a high-value digital health care service based on collaborative learning, real-time development, iterative testing, and value assessment.

Indexed as

Cardiac Surgical ProceduresDelivery of Health CareFollow-Up StudiesHumansLearningPilot ProjectsCardiac surgeryDesign science researchDigital healthcarePatient-reported outcomesReal-world validationRemote patient monitoringService design

Identifiers

PMID35597936
PMCPMC9123610
OpenAlexW4281264507

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.