Criteria for prioritizing hospitalized patients for clinical pharmacy services: a consensus proposal from a public hospital in Brasília

Authors

  • Júlia Batista DE ALMEIDA Universidade de Brasília, Departamento de Farmácia, Faculdade de Ciências e Tecnologias da Saúde (FCTS), Brasília, Brasil https://orcid.org/0009-0001-1722-7928
  • Cyntia Elizabeth GALVÃO Universidade de Brasília, Programa de Pós-Graduação em Assistência Farmacêutica (PPGASFAR), Faculdade de Ciências e Tecnologias da Saúde (FCTS), Secretaria de Saúde do Distrito Federal, Brasília, Brasil https://orcid.org/0009-0002-7973-9539
  • Dayani GALATO Universidade de Brasília, Programa de Pós-Graduação em Assistência Farmacêutica (PPGASFAR), Faculdade de Ciências e Tecnologias da Saúde (FCTS), Secretaria de Saúde do Distrito Federal, Brasília, Brasil https://orcid.org/0000-0002-9295-8018

DOI:

https://doi.org/10.30968/jhphs.2026.171.1387

Abstract

Objective: To determine the general patient prioritization criteria for the clinical pharmacy service at a public hospital in Brasília. Methods: This study was conducted in two stages. The first stage involved a narrative literature review of articles published, followed by a consensus meeting using the nominal group technique. Six clinical pharmacists working at the hospital participated in the consensus meeting. The meetin was organized in four phases: First, the findings from the literature review were presented, and a table of identified criteria was shared with all participants. Second, the group discussed and defined a list of the main prioritization criteria. After an initial consensus, the criteria were ranked by scoring the general factors for prioritizing hospitalized patients. Results: The literature review identified 22 articles, which led to an initial list of criteria categorized into three areas: health conditions (HC) – 9 items, laboratory monitoring (LM) – 21 tests, and pharmacological therapy (PT) – 7 items. Of these, 16 criteria were prioritized. The most significant criteria included: sepsis diagnosis (HC), criticality-related risk factors (HC), renal failure (LM), thromboembolism diagnosis (HC), polypharmacy (ten or more medications) (PT), multimorbidity (HC), use of potentially dangerous medications (PT), and medication errors (PT). Conclusion: The agreed-upon criteria describe critically ill patient profiles who require closer monitoring by the pharmacist and other healthcare team members, as well as enhanced technological infrastructure.

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References

1. Lewis P. Right patient, right time, right pharmacist: the time for clinical prioritisation tools? Eur J Hosp Pharm. 2017;24(6):314. doi:10.1136/ejhpharm-2017-001395

2. Abuzour AS, Hoad-Reddick G, Shahid M, et al. Patient prioritisation for hospital pharmacy services: current approaches in the UK. Eur J Hosp Pharm. 2021;28(Suppl 2):e102-e108. doi:10.1136/ejhpharm-2020-002365

3. Botelho SF, Neiva Pantuzza LL, Marinho CP, et al. Prognostic prediction models and clinical tools based on consensus to support patient prioritization for clinical pharmacy services in hospitals: A scoping review. Res Social Adm Pharm. 2021;17(4):653-663. doi:10.1016/j.sapharm.2020.08.002

4. Hickson RP, Steinke DT, Skitterall C, et al. Evaluation of a pharmaceutical assessment screening tool to measure patient acuity and prioritise pharmaceutical care in a UK hospital. Eur J Hosp Pharm. 2017;24(2):74-79. doi:10.1136/ejhpharm-2015-000829

5. Doherty C, Campbell G, French O, et al. A pharmacist-led, digital health informatics-based, insight-led care approach to aid clinical prioritization of people with diabetes and heart failure. Can Pharm J (Ott). 2024;157(6):286-289. doi:10.1177/17151635241277547

6. Falconer N, Liow D, Zeng I, et al. Validation of the assessment of risk tool: patient prioritisation technology for clinical pharmacist interventions. Eur J Hosp Pharm. 2017;24(6):320-326. doi:10.1136/ejhpharm-2016-001165

7. Falconer N, Barras M, Cottrell N. How hospital pharmacists prioritise patients at high-risk for medication harm. Res Social Adm Pharm. 2019;15(10):1266–1273. doi: 10.1016/j.sapharm.2018.11.003

8. Van de Ven AH, Delbecq AL. The nominal group as a research instrument for exploratory health studies. Am J Public Health. 1972;62(3):337-342. doi:10.2105/ajph.62.3.337

9. Olsen J. The Nominal Group Technique (NGT) as a Tool for Facilitating Pan-Disability Focus Groups and as a New Method for Quantifying Changes in Qualitative Data. Int J Qual Methods. 2019;(18):1-10. doi: 10.1177/1609406919866049

10. Bernardez B, Mangues-Bafalluy I, Callejo VM, et al. Risk stratification model for the pharmaceutical care of oncology patients with solid or hematologic neoplasms. Farm Hosp. 2024;48(3):108-115. doi:10.1016/j.farma.2023.07.013

11. Spencer M, Turner S, Garg A. Development of a pharmacy ‘patient prioritization tool’ for use in a Tertiary Paediatric Hospital. J Clin Pharm Ther. 2021;46(2):388-394. doi:10.1111/jcpt.13295

12. Urbina O, Ferrández O, Grau S, et al. Design of a score to identify hospitalized patients at risk of drug-related problems. Pharmacoepidemiol Drug Saf. 2014;23(9):923-932. doi:10.1002/pds.3634

13. Botelho SF, Pantuzza LLN, Marinho CP, et al. Consensus on the criteria for patient prioritization in hospital clinical pharmacy services: a Delphi study. Int J Clin Pharm. 2022;44(4):985-992. doi:10.1007/s11096-022-01424-5

14. Sharif-Askari FS, Syed Sulaiman SA, Saheb Sharif-Askari N, et al. Development of an adverse drug reaction risk assessment score among hospitalized patients with chronic kidney disease. PLoS One. 2014;9(4):e95991. doi: 10.1371/journal.pone.0095991

15. Clarke R, Colleran M, Melanophy G, et al. Enhancing the clinical pharmacy service of a large teaching hospital: Development of a new clinical prioritisation tool. Explor Res Clin Soc Pharm. 2023;12:100335. doi:10.1016/j.rcsop.2023.100335

16. Falconer N, Nand S, Liow D, et al. Development of an electronic patient prioritization tool for clinical pharmacist interventions. Am J Health Syst Pharm. 2014;71(4):311-320. doi:10.2146/ajhp130247

17. Nguyen TL, Leguelinel-Blache G, Kinowski JM, et al. Improving medication safety: Development and impact of a multivariate model-based strategy to target high-risk patients. PLoS One. 2017;12(2):e0171995. doi:10.1371/journal.pone.0171995

18. Vallecillo T, Slimano F, Moussouni M, et al. Development and validation of a ready-to-use score to prioritise medication reconciliation at patient admission in an orthopaedic and trauma department. Eur J Hosp Pharm. 2022;29(5):264-270. doi:10.1136/ejhpharm-2020-002283

19. Skalafouris C, Blanc AL, Grosgurin O, et al. Development and retrospective evaluation of a clinical decision support system for the efficient detection of drug-related problems by clinical pharmacists. Int J Clin Pharm. 2023;45(2):406-413. doi:10.1007/s11096-022-01505-5

20. Kaufmann CP, Stämpfli D, Mory N, et al. Drug-Associated Risk Tool: development and validation of a self-assessment questionnaire to screen for hospitalised patients at risk for drug-related problems. BMJ Open. 2018;8(3):e016610. doi:10.1136/bmjopen-2017-016610

21. Chang CE, Khan RA, Tay CY, et al. Development and validation of a pharmaceutical assessment screening tool to prioritise patient care in a tertiary care hospital. PLoS One. 2023;18(3):e0282342. doi:10.1371/journal.pone.0282342

22. Weant KA, Acquisto NM, Doyno CR, et al. Development of an emergency medicine pharmacy intensity score tool. Am J Health Syst Pharm. 2023;80(4):215-221. doi:10.1093/ajhp/zxac328

23. Tangiisuran B, Scutt G, Stevenson J, et al. Development and validation of a risk model for predicting adverse drug reactions in older people during hospital stay: Brighton Adverse Drug Reactions Risk (BADRI) model. PLoS One. 2014;9(10):e111254. doi:10.1371/journal.pone.0111254

24. Covvey JR, Grant J, Mullen AB. Development of an obstetrics triage tool for clinical pharmacists. J Clin Pharm Ther. 2015;40(5):539-544. doi:10.1111/jcpt.12301

25. Onder G, Petrovic M, Tangiisuran B, et al. Development and validation of a score to assess risk of adverse drug reactions among in-hospital patients 65 years or older: the GerontoNet ADR risk score. Arch Intern Med. 2010;170(13):1142-1148. doi:10.1001/archinternmed.2010.153

26. Winterstein AG, Staley B, Henriksen C, et al. Development and validation of a complexity score to rank hospitalized patients at risk for preventable adverse drug events. Am J Health Syst Pharm. 2017;74(23):1970-1984. doi:10.2146/ajhp160995

27. Saedder EA, Lisby M, Nielsen LP, et al. Detection of Patients at High Risk of Medication Errors: Development and Validation of an Algorithm. Basic Clin Pharmacol Toxicol. 2016;118(2):143-149. doi:10.1111/bcpt.12473

28. Lucas GNC. Aspectos fisiopatológicos da nefropatia por anti-inflamatórios não esteroidais. J Bras Nefrol. 2019;41(1):124-30. doi: 10.1590/2175-8239-JBN-2018-0107

29. Silva RS, Domingueti CP, Tinoco MS, et al. Interference of medicines in laboratory exams. J Bras Patol Med Lab. 2021;57:1-15. doi: 10.5935/1676-2444.20210014.

30. Wolf J, Wolf, L. Uma revisão sobre a terapêutica anticoagulante oral no manejo da trombose. SaBios-Revista De Saúde E Biologia. 2018;12(1):66–78.

31. Faqeer N, Sawalha R, Al Hamad B, et al. Impact of Clinical Pharmacists’ Interventions on Medication Use and Direct Cost Savings in an Inpatient Medical Oncology Setting. Hosp Pharm. doi:10.1177/00185787251372038

32. Alshakrah MA, Steubke DT, Lewis PJ. Patient priorization for pharmaceutical care in hospital: a systematic review of assessment tools. Res Soc Adm Pharm. 2019;V(15):767-779. doi: 10.1016/j.sapharm.2018.09.009

33. Mattos LFV, Sousa ARN, Teixeira JF, et al. The role of the pharmacist in the hospital discharge of cancer patients: an integrative review. J Oncol Pharm Pract. 2023;29(5):1196-1205. doi: 10.1177/10781552231160678.

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Published

2026-05-26

How to Cite

1.
DE ALMEIDA JB, GALVÃO CE, GALATO D. Criteria for prioritizing hospitalized patients for clinical pharmacy services: a consensus proposal from a public hospital in Brasília. J Hosp Pharm Health Serv [Internet]. 2026 May 26 [cited 2026 May 30];17(1):e1387. Available from: https://jhphs.org/sbrafh/article/view/1387

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