Evidence map›Paper›PMID 31482857›Full record

ArticleJournal of medical Internet research2019

Connected Health Services: Framework for an Impact Assessment.

Ioanna Chouvarda, Christos Maramis, Kristina Livitckaia, Vladimir Trajkovik, Serhat Burmaoglu, Hrvoje Belani, Jan Kool, Roman Lewandowski, ENJECT Working Group 1 Network

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

9 authors at 6 institutions in 6 countries.

Ioanna ChouvardaLab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID 0000-0001-8915-6658
Christos MaramisLab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID 0000-0002-6417-0784
Kristina LivitckaiaLab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID 0000-0003-2497-7556
Vladimir TrajkovikFaculty of Computer Science and Engineering, Saints Cyril and Methodius University, Skopje, North Macedonia.ORCID 0000-0001-8103-8059
Serhat BurmaogluDepartment of Health Management, Faculty of Economics and Administrative Sciences, Izmir Katip Celebi University, Izmir, Turkey.ORCID 0000-0002-5537-6887
Hrvoje BelaniIT Division, Ministry of Health, Zagreb, Croatia.ORCID 0000-0003-1392-7502
Jan KoolRehabilitation Centre Valens, Valens, Switzerland.ORCID 0000-0002-7074-8589
Roman LewandowskiFaculty of Management, University of Social Sciences, Lodz, Poland.ORCID 0000-0002-9589-0629
ENJECT Working Group 1 Network
Aristotle University of Thessaloniki · GRIzmir Kâtip Çelebi University · TRMinistry of Health · HRSpołeczna Akademia Nauk · PLSs. Cyril and Methodius University in Skopje · MKValens Clinics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConnected health (CH), as a new paradigm, manages individual and community health in a holistic manner by leveraging a variety of technologies and has the potential for the incorporation of telehealth and integrated care services, covering the whole spectrum of health-related services addressing healthy subjects and chronic patients. The reorganization of services around the person or citizen has been expected to bring high impact in the health care domain. There are a series of concerns (eg, contextual factors influencing the impact of care models, the cost savings associated with CH solutions, and the sustainability of the CH ecosystem) that should be better addressed for CH technologies to reach stakeholders more successfully. Overall, there is a need to effectively establish an understanding of the concepts of CH impact. As services based on CH technologies go beyond standard clinical interventions and assessments of medical devices or medical treatments, the need for standardization and for new ways of measurements and assessments emerges when studying CH impact.

objectiveThis study aimed to introduce the CH impact framework (CHIF) that serves as an approach to assess the impact of CH services.

methodsThis study focused on the subset of CH comprising services that directly address patients and citizens on the management of disease or health and wellness. The CHIF was developed through a multistep procedure and various activities. These included, as initial steps, a literature review and workshop focusing on knowledge elicitation around CH concepts. Then followed the development of the initial version of the framework, refining of the framework with the experts as a result of the second workshop, and, finally, composition and deployment of a questionnaire for preliminary feedback from early-stage researchers in the relevant domains.

resultsThe framework contributes to a better understanding of what is CH impact and analyzes the factors toward achieving it. CHIF elaborates on how to assess impact in CH services. These aspects can contribute to an impact-aware design of CH services. It can also contribute to a comparison of CH services and further knowledge of the domain. The CHIF is based on 4 concepts, including CH system and service outline, CH system end users, CH outcomes, and factors toward achieving CH impact. The framework is visualized as an ontological model.

conclusionsThe CHIF is an initial step toward identifying methodologies to objectively measure CH impact while recognizing its multiple dimensions and scales.

Indexed as

Delivery of Health Care, IntegratedModels, OrganizationalTelemedicineEuropeHumansconnected healthenablers and barriersframeworkhealth impact assessmentoutcome assessment

Identifiers

PMID31482857
PMCPMC6751095
OpenAlexW2946823547

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.