ReviewIntegrated healthcare journal2020
Meikirch model: new definition of health as hypothesis to fundamentally improve healthcare delivery.
Review in Integrated healthcare journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Development and validation of the Individual Potentials Questionnaire (IP-Q).Scientific reports · 2025Article
- Psychometric properties of the newly developed self-report environmental determinants of health questionnaire (EDH-Q): development and validation.BMC psychology · 2024Article
- Megatrends in Healthcare: Review for the Swiss National Science Foundation's National Research Programme 74 (NRP74) "Smarter Health Care".Public health reviews · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The unrelenting rise in healthcare costs over the past 50 years has caused policymakers to respond. Their reactions have led to a gradual economic transformation of medicine. As a result, detailed billing, quality controls, financial incentives, savings targets and digitalisation are now putting increasing pressures on the nursing and medical staff. In addition, the humanity of care of the patient-doctor and/or patient-nurse interactions has been cast aside to a great extent. Therefore, the immaterial side of care has been neglected or even removed from these relationships. These changes are now perceived as intolerable by most health workers and patients. Yet healthcare costs are still rising. This paper presents a hypothesis that should enable healthcare systems to respond more effectively. It proposes the introduction of the Meikirch model, a new comprehensive definition of health. The Meikirch model takes human nature fully into account, including health and disease. The inclusion of the individual potentials, the social surroundings and the natural environment leads to the concept of health as a complex adaptive system (CAS). Care for such a definition of health requires medical organisations to change from top-down management to bottom-up leadership. Such innovations are now mature and ready for implementation. They require a long-term investment, a comprehensive approach to patient care and new qualifications for leadership. The Meikirch model reads: 'To be healthy a human individual must be able to satisfy the demands of life. For this purpose, each person disposes of a biologically given and a personally acquired potential, both of which are closely related to the social surroundings and the natural environment. The resulting CAS enables the individual to unfold a personal identity and to develop it further until death. Healthcare has the purpose to empower each individual to fully realize optimal health'. This hypothesis postulates that the new definition of health will further develop healthcare systems in such a way that better health results at lower costs.
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What OpenQuestion holds
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.