Evidence map›Paper›PMID 36569802›Full record

ArticleFrontiers in digital health2022

Scaling-up digital follow-up care services: collaborative development and implementation of Remote Patient Monitoring pilot initiatives to increase access to follow-up care.

Salomé Azevedo, Federico Guede-Fernández, Francisco von Hafe, Pedro Dias, Inês Lopes, Nuno Cardoso, Pedro Coelho, Jorge Santos, José Fragata, Clara Vital and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06423521 (Value Analysis in Patients Undergoing Anticoagulant Therapy), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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.

NCT06423521 nacompletednot on this map

Value Analysis in Patients Undergoing Anticoagulant Therapy: Impact of Self-management Training Using a Coagulometer

TypeinterventionalSponsorAna Rita Londral, PhDRan2021 to 2024Enrolled28ConditionsPost-Cardiac Surgery PatientsArmsStandard of Care (SOC), Remote Patient Monitoring (RPM)
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  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

13 authors at 5 institutions in 1 country.

Salomé AzevedoValue for Health CoLAB, Lisbon, Portugal.
Federico Guede-FernándezValue for Health CoLAB, Lisbon, Portugal.
Francisco von HafeValue for Health CoLAB, Lisbon, Portugal.
Pedro DiasValue for Health CoLAB, Lisbon, Portugal.
Inês LopesFraunhofer Portugal AICOS, Porto, Portugal.
Nuno CardosoFraunhofer Portugal AICOS, Porto, Portugal.
Pedro CoelhoComprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
Jorge SantosHospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
José FragataComprehensive Health Research Center, Nova Medical School, Nova University of Lisbon, Lisbon, Portugal.
Clara VitalHospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
Helena SemedoHospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
Ana GualdinoHospital de Santa Marta, Centro Hospitalar Universitário Lisboa Central, Lisbon, Portugal.
Ana LondralValue for Health CoLAB, Lisbon, Portugal.
Hospital de Santa Marta · PTUniversity of Lisbon · PTFraunhofer Portugal Research · PTCentro Tecnológico do Calçado de Portugal · PTUniversidade Nova de Lisboa · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 increased the demand for Remote Patient Monitoring (RPM) services as a rapid solution for safe patient follow-up in a lockdown context. Time and resource constraints resulted in unplanned scaled-up RPM pilot initiatives posing risks to the access and quality of care. Scalability and rapid implementation of RPM services require social change and active collaboration between stakeholders. Therefore, a participatory action research (PAR) approach is needed to support the collaborative development of the technological component while simultaneously implementing and evaluating the RPM service through critical action-reflection cycles. Objective: This study aims to demonstrate how PAR can be used to guide the scalability design of RPM pilot initiatives and the implementation of RPM-based follow-up services. Methods: Using a case study strategy, we described the PAR team's (nurses, physicians, developers, and researchers) activities within and across the four phases of the research process (problem definition, planning, action, and reflection). Team meetings were analyzed through content analysis and descriptive statistics. The PAR team selected ex-ante pilot initiatives to reflect upon features feedback and participatory level assessment. Pilot initiatives were investigated using semi-structured interviews transcribed and coded into themes following the principles of grounded theory and pilot meetings minutes and reports through content analysis. The PAR team used the MoSCoW prioritization method to define the set of features and descriptive statistics to reflect on the performance of the PAR approach. Results: The approach involved two action-reflection cycles. From the 15 features identified, the team classified 11 as must-haves in the scaled-up version. The participation was similar among researchers (52.9%), developers (47.5%), and physicians (46.7%), who focused on suggesting and planning actions. Nurses with the lowest participation (5.8%) focused on knowledge sharing and generation. The top three meeting outcomes were: improved research and development system (35.0%), socio-technical-economic constraints characterization (25.2%), and understanding of end-user technology utilization (22.0%). Conclusion: The scalability and implementation of RPM services must consider contextual factors, such as individuals' and organizations' interests and needs. The PAR approach supports simultaneously designing, developing, testing, and evaluating the RPM technological features, in a real-world context, with the participation of healthcare professionals, developers, and researchers.

Indexed as

collaborationfollow-up careimplementationparticipatory action researchremote patient monitoring

Identifiers

PMID36569802
PMCPMC9768029
OpenAlexW4311709706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.