Evidence map›Paper›PMID 29776900›Full record

ArticleJournal of medical Internet research2018

The Biopsychosocial-Digital Approach to Health and Disease: Call for a Paradigm Expansion.

Alireza Ahmadvand, Robert Gatchel, John Brownstein, Lisa Nissen

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  11. Adapting medical education to the COVID-19 pandemic: the experience of 1520 studentsRevista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2023
    Observational
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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

4 authors.

Alireza Ahmadvand *School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0001-5568-8787
Robert Gatchel *Department of Psychology, College of Science, University of Texas at Arlington, Arlington, TX, United States.ORCID 0000-0002-5093-8414
John Brownstein *Department of Pediatrics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-8568-5317
Lisa Nissen *School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0001-5826-4605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health is an advancing phenomenon in modern health care systems. Currently, numerous stakeholders in various countries are evaluating the potential benefits of digital health solutions at the individual, population, and/or organizational levels. Additionally, driving factors are being created from the customer-side of the health care systems to push health care providers, policymakers, or researchers to embrace digital health solutions. However, health care providers may differ in their approach to adopt these solutions. Health care providers are not assumed to be appropriately trained to address the requirements of integrating digital health solutions into daily everyday practices and procedures. To adapt to the changing demands of health care systems, it is necessary to expand relevant paradigms and to train human resources as required. In this article, a more comprehensive paradigm will be proposed, based on the 'biopsychosocial model' of assessing health and disease, originally introduced by George L Engel. The "biopsychosocial model" must be leveraged to include a "digital" component, thus suggesting a 'biopsychosocial-digital' approach to health and disease. Modifications to the "biopsychosocial" model and transition to the "biopsychosocial-digital" model are explained. Furthermore, the emerging implications of understanding health and disease are clarified pertaining to their relevance in training human resources for health care provision and research.

Indexed as

Models, PsychologicalDelivery of Health CareHealth PersonnelHumansPsychophysiologyBiopsychosocial Model to Health and Diseasedigital healthdigital technologieshuman resources for health

Identifiers

PMID29776900
PMCPMC5984274

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.