Evidence map›Paper›PMID 33292215›Full record

ArticleBMC health services research2020

A plea to merge clinical and public health practices: reasons and consequences.

Jean-Pierre Unger, Ingrid Morales, Pierre De Paepe, Michel Roland

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Jean-Pierre UngerDepartment of Public Health, Institute of Tropical Medicine, Nationalestraat 155, B-2000, Antwerp, Belgium. jeanpierre.unger@gmail.com.
Ingrid MoralesOffice de la Naissance et de l'Enfance, French Community of Belgium, Chaussée de Charleroi 95, B-1060, Brussels, Belgium.
Pierre De PaepeDepartment of Public Health, Institute of Tropical Medicine, Nationalestraat 155, B-2000, Antwerp, Belgium.
Michel RolandDépartement de Médecine Générale, Université Libre de Bruxelles, Route de Lennik, 808, BP 612/1, B-1070, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRevisiting professionalism, both as a medical ideal and educational topic, this paper asks whether, in the rise of artificial intelligence, healthcare commoditisation and environmental challenges, a rationale exists for merging clinical and public health practices. To optimize doctors' impact on community health, clinicians should introduce public health thinking and action into clinical practice, above and beyond controlling nosocomial infections and iatrogenesis. However, in the interest of effectiveness they should do everything possible to personalise care delivery. To solve this paradox, we explore why it is necessary for the boundaries between medicine and public health to be blurred. MAIN BODY: Proceeding sequentially, we derive standards for medical professionalism from care quality criteria, neo-Hippocratic ethics, public health concepts, and policy outcomes. Thereby, we formulate benchmarks for health care management and apply them to policy evaluation. During this process we justify the social, professional - and by implication, non-commercial, non-industrial - mission of healthcare financing and policies. The complexity of ethical, person-centred, biopsychosocial practice requires a human interface between suffering, health risks and their therapeutic solution - and thus legitimises the medical profession's existence. Consequently, the universal human right to healthcare is a right to access professionally delivered care. Its enforcement requires significant updating of the existing medical culture, and not just in respect of the man/machine interface. This will allow physicians to focus on what artificial intelligence cannot do, or not do well. These duties should become the touchstone of their practice, knowledge and ethics. Artificial intelligence must support medical professionalism, not determine it. Because physicians need sufficient autonomy to exercise professional judgement, medical ethics will conflict with attempts to introduce clinical standardisation as a managerial paradigm, which is what happens when industrial-style management is applied to healthcare.

conclusionPublic healthcare financing and policy ought to support medical professionalism, alongside integrated clinical and public health practice, and its management. Publicly-financed health management should actively promote ethics in publicly- oriented services. Commercialised healthcare is antithetical to ethical medical, and to clinical / public health practice integration. To lobby governments effectively, physicians need to appreciate the political economy of care.

Indexed as

Artificial IntelligenceHealth Services AdministrationDelivery of Health CareEthics, MedicalHumansPublic Health PracticeHealth managementHealth policyMedical educationMedical professionalismPublic health

Identifiers

PMID33292215
PMCPMC7725113

What OpenQuestion holds

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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.