Exploring the integration of 4P healthcare principles into hospital management: A systematic review protocol

##plugins.themes.academic_pro.article.main##

Aziz Hantem
Ahmed Madi
Widad Lachehab
Sara Alouane

Abstract

Introduction: At the present time, the major paradigm changes that are impacting hospitals are being driven by new technology, digitization, precision medicine and patient expectations. The 4P Health Care concept of Preventive, Predictive, Personalized and Participatory healthcare is now influencing how hospitals are being managed as well as how medical care is provided to patients. The main purpose of this systematic review is to identify, review, examine and synthesis the existing management practices, models and theories used in hospitals based on the 4P health care principles.
Methods: This systematic review will be conducted following the PRISMA guidelines. Databases to be searched include MEDLINE/PubMed, Scopus, Embase, Web of Science, Emerald Insight, and Google Scholar, combining keywords in English and French around ‘4P health’ and ‘hospital management’. Search terms will include the following keywords and terms: ("Hospitals"[MeSH] OR "Hospital Administration"[MeSH] OR
"Health Facility Administration"[MeSH] OR "hospital management" OR "hospital governance" OR "healthcare management" OR "health services administration") AND ("Precision Medicine"[MeSH] OR "Preventive Medicine"[MeSH] OR "Patient Participation"[MeSH] OR "4P medicine" OR "P4
medicine" OR "predictive medicine" OR "personalized medicine" OR "preventive health" OR "participatory health" OR "precision health")
Results: A complete summary will be provided to demonstrate how hospitals practice management as it relates to the 4P health care principles using both narrative synthesis and meta-analysis where appropriate. A PRISMA flowchart will illustrate the process for selecting studies included in the review.
Registration: The study protocol has been registered in PROSPERO [CRD420251171543].

Keywords:

Hospital management, 4P healthcare, healthcare Performance, Hospital Governance, Quality of care, Patient satisfaction

##plugins.themes.academic_pro.article.details##

References

  1. Basole RC, Rouse WB. Complexity of service value networks: conceptualization and empirical investigation. IBM Syst J. 2008;47(1):53–70.
  2. Osman N. La transplantation des outils de gestion d’un contexte social, culturel à un autre: le cas de la démarche qualité dans les hôpitaux publics égyptiens [thèse de doctorat]. Orléans: Université d’Orléans; 2012.
  3. Kirmi B, Chahouati W. Les établissements hospitaliers publics: vers une nouvelle gouvernance hospitalière inspirée du management de la qualité. Rev Contr Compt Audit. 2019;3(3).
  4. Reynier M, Charpentier P, Charestan P, Boudin-Corvina P. Moderniser le pilotage de l’hôpital et son management. Ministère de la Santé et de la Prévention [Internet]. 2019 Feb 12 [cité 2025 Oct 22]. Disponible sur: https://sante.gouv.fr/systemedesante/ masante2022/article/moderniser-le-pilotage-de-l-hopital-et-son- management
  5. Hantem A. L’introduction d’une comptabilité d’exercice au sein des centres hospitaliers universitaires au Maroc: caractéristiques et analyse des facteurs d’adoption et de succès [thèse de doctorat].Casablanca: Université Hassan II Casablanca; 2019.
  6. Hantem A, Soussi H, Emzi K, Emzi K. Analysis of the perception of innovations adoption in public health establishments in Morocco: crossed perspectives of healthcare professionals. In: Motahhir S, Bossoufi B, editors. Digital Technologies and Applications. ICDTA 2024. Lecture Notes in Networks and Systems. Vol. 1098. Cham: Springer; 2024. p. 653–662. https://doi.org/10.1007/978-3-031- 68650-4_53
  7. Hantem A, Andaloussi SS, Asbayou M, Mkik M, Lachehab W, Jouad S, Belabbes S. The adoption of artificial intelligence in internal audit as a managerial innovation in the public hospital sector in Morocco. In: Jamal A, Aissaoui K, Alla L, Alj B, Bentalha B, editors. Transparency in AI-Assisted Management Decisions. Hershey, PA: IGI Global Scientific Publishing; 2025. p. 305–338. https://doi. org/10.4018/979-8-3373-1737-3.ch009
  8. Hood L, Friend SH. Predictive, personalized, preventive, participatory (P4) cancer medicine. Nat Rev Clin Oncol. 2011;8(3):184–187.
  9. Auffray C, Balling R, Barroso I, et al. Making sense of big data in health research: towards a European 4P medicine approach. Genome Med. 2016;8:71.
  10. Maher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–269.
  11. Wells GA, Shea B, O'Connell D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta- analyses. Ottawa: Ottawa Hospital Research Institute; 2000.
  12. Critical Appraisal Skills Programme (CASP). CASP Qualitative Studies Checklist. Oxford: CASP; 2018. Available at: https://casp-uk.net
  13. Hong QN, Fàbregues S, Bartlett G, et al. The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Educ Inf. 2018;34(4):285–291.
  14. Shea BJ, Reeves BC, Wells G, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomized or non-randomized studies of healthcare interventions. BMJ. 2017;358:j4008.