Skip to main content
Erschienen in:

17.06.2022 | Research Article

Consensus on the criteria for patient prioritization in hospital clinical pharmacy services: a Delphi study

verfasst von: Stephanie Ferreira Botelho, Laís Lessa Neiva Pantuzza, Claudyane Pinheiro Marinho, Adriano Max Moreira Reis

Erschienen in: International Journal of Clinical Pharmacy | Ausgabe 4/2022

Einloggen, um Zugang zu erhalten

Abstract

Background

Hospital pharmacists cannot provide extensive clinical pharmacy service to every inpatient because the demand for these services can exceed pharmacists’ available work time. A way to solve this issue is hospital pharmacists to prioritize their clinical tasks. Tool prioritization could determine which patients would benefit from clinical pharmacists’ input.

Aim

Establishing consensus on which criteria are relevant for prioritizing patients for clinical pharmacy services.

Method

The Delphi method was performed with criteria identified from a previously published Scoping Review. The panel of experts included hospital pharmacists, who evaluated the clinical significance of criteria in a three-round Delphi panel from July to December 2020. They determined the need for sub-criteria and evaluated their clinical significance. The experts also analyzed the criteria/sub-criteria as to their applicability in clinical practice. Consensus criteria were defined as 70% or more participants scoring the criteria as critical and 15% or fewer scoring the criteria as unimportant.

Results

A total of 19 criteria and 230 sub-criteria were included for evaluation by panel experts based on scoping review. Twenty-nine, 22, and 17 experts participated per round, respectively. After completing the three rounds, experts suggested the inclusion of one criterion, the exclusion of one criterion, and the inclusion of 29 sub-criteria. The final list consisted of 18 criteria and 177 sub-criteria, divided into 28 groups.

Conclusion

The result was comprehensive and coherent, potentially contributing to developing an instrument for prioritizing hospitalized patients for clinical pharmacy services.
Literatur
1.
Zurück zum Zitat Han N, Han SH, Chu H, et al. Service design oriented multidisciplinary collaborative team care service model development for resolving drug-related problems. PLoS One. 2018;13(9). Han N, Han SH, Chu H, et al. Service design oriented multidisciplinary collaborative team care service model development for resolving drug-related problems. PLoS One. 2018;13(9).
2.
Zurück zum Zitat Puumalainen E, Airaksinen M, Jalava SE, et al. Comparison of drug-related problem risk assessment tools for older adults: a systematic review. Eur J Clin Pharmacol. 2020;76(3):337–48.CrossRef Puumalainen E, Airaksinen M, Jalava SE, et al. Comparison of drug-related problem risk assessment tools for older adults: a systematic review. Eur J Clin Pharmacol. 2020;76(3):337–48.CrossRef
3.
Zurück zum Zitat Abuzour AS, Hoad-Reddick G, Shahid M, et al. Patient prioritisation for hospital pharmacy services: Current approaches in the UK. Eur J Hosp Pharm. 2020;0:1–7. Abuzour AS, Hoad-Reddick G, Shahid M, et al. Patient prioritisation for hospital pharmacy services: Current approaches in the UK. Eur J Hosp Pharm. 2020;0:1–7.
4.
Zurück zum Zitat ACCP. The Definition of Clinical Pharmacy. Pharmacotherapy. 2008;28(6):816–7.CrossRef ACCP. The Definition of Clinical Pharmacy. Pharmacotherapy. 2008;28(6):816–7.CrossRef
5.
Zurück zum Zitat Gallagher J, McCarthy S, Byrne S. Economic evaluations of clinical pharmacist interventions on hospital inpatients: a systematic review of recent literature. Int J Clin Pharm. 2014;36(6):1101–14.CrossRef Gallagher J, McCarthy S, Byrne S. Economic evaluations of clinical pharmacist interventions on hospital inpatients: a systematic review of recent literature. Int J Clin Pharm. 2014;36(6):1101–14.CrossRef
6.
Zurück zum Zitat Flynn A, Mo H, Nguyen JV, et al. Initial study of clinical pharmacy work prioritization tools. Am J Health Syst Pharm. 2018;75(15):1122–31.CrossRef Flynn A, Mo H, Nguyen JV, et al. Initial study of clinical pharmacy work prioritization tools. Am J Health Syst Pharm. 2018;75(15):1122–31.CrossRef
7.
Zurück zum Zitat Kiguba R, Karamagi C, Bird SM. Incidence, risk factors and risk prediction of hospital-acquired suspected adverse drug reactions: A prospective cohort of Ugandan inpatients. BMJ Open. 2017;7(1). Kiguba R, Karamagi C, Bird SM. Incidence, risk factors and risk prediction of hospital-acquired suspected adverse drug reactions: A prospective cohort of Ugandan inpatients. BMJ Open. 2017;7(1).
8.
Zurück zum Zitat Alshakrah MA, Steinke DT, Lewis PJ. Patient prioritization for pharmaceutical care in hospital: A systematic review of assessment tools. Res Social Adm Pharm. 2019;15(6):767–79.CrossRef Alshakrah MA, Steinke DT, Lewis PJ. Patient prioritization for pharmaceutical care in hospital: A systematic review of assessment tools. Res Social Adm Pharm. 2019;15(6):767–79.CrossRef
9.
Zurück zum Zitat Geeson C, Wei L, Franklin BD. Development and performance evaluation of the Medicines Optimisation Assessment Tool (MOAT): A prognostic model to target hospital pharmacists’ input to prevent medication-related problems. BMJ Qual Saf. 2019;28(8):645–56.CrossRef Geeson C, Wei L, Franklin BD. Development and performance evaluation of the Medicines Optimisation Assessment Tool (MOAT): A prognostic model to target hospital pharmacists’ input to prevent medication-related problems. BMJ Qual Saf. 2019;28(8):645–56.CrossRef
10.
Zurück zum Zitat 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):653–63.CrossRef 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):653–63.CrossRef
11.
Zurück zum Zitat Jaam M, Awaisu A, El-Awaisi A, et al. Use of the Delphi technique in pharmacy practice research. Res Social Adm Pharm. 2022 Jan;18(1):2237–48.CrossRef Jaam M, Awaisu A, El-Awaisi A, et al. Use of the Delphi technique in pharmacy practice research. Res Social Adm Pharm. 2022 Jan;18(1):2237–48.CrossRef
12.
Zurück zum Zitat Olsen AA, Wolcott MD, Haines ST, et al. How to use the Delphi method to aid in decision making and build consensus in pharmacy education. Curr Pharm Teach Learn. 2021 Oct;13(10):1376–85.CrossRef Olsen AA, Wolcott MD, Haines ST, et al. How to use the Delphi method to aid in decision making and build consensus in pharmacy education. Curr Pharm Teach Learn. 2021 Oct;13(10):1376–85.CrossRef
13.
Zurück zum Zitat McMillan SS, King M, Tully MP. How to use the nominal group and Delphi techniques. Int J Clin Pharm. 2016;38(3):655–62. McMillan SS, King M, Tully MP. How to use the nominal group and Delphi techniques. Int J Clin Pharm. 2016;38(3):655–62.
14.
Zurück zum Zitat Rankin A, Cadogan CA, Ryan C, et al. Core Outcome Set for Trials Aimed at Improving the Appropriateness of Polypharmacy in Older People in Primary Care. J Am Geriatr Soc. 2018;66(6):1206–12.CrossRef Rankin A, Cadogan CA, Ryan C, et al. Core Outcome Set for Trials Aimed at Improving the Appropriateness of Polypharmacy in Older People in Primary Care. J Am Geriatr Soc. 2018;66(6):1206–12.CrossRef
15.
Zurück zum Zitat Falconer N, Barras M, Abdel-Hafez A. et at. Development and validation of the Adverse Inpatient Medication Event model (AIME). Br J Clin Pharmacol. 2021;87(3):1512–24.CrossRef Falconer N, Barras M, Abdel-Hafez A. et at. Development and validation of the Adverse Inpatient Medication Event model (AIME). Br J Clin Pharmacol. 2021;87(3):1512–24.CrossRef
16.
Zurück zum Zitat Lima T, de M, Aguiar, Storpirtis PM. S. Development and validation of key performance indicators for medication management services provided for outpatients. Res Social Adm Pharm. 2019;15(9):1080–7.CrossRef Lima T, de M, Aguiar, Storpirtis PM. S. Development and validation of key performance indicators for medication management services provided for outpatients. Res Social Adm Pharm. 2019;15(9):1080–7.CrossRef
17.
Zurück zum Zitat 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):311–20.CrossRef 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):311–20.CrossRef
18.
Zurück zum Zitat Falconer N, Barras M, Cottrell N. Systematic review of predictive risk models for adverse drug events in hospitalized patients. Br J Clin Pharmacol. 2018;84(5):846–64.CrossRef Falconer N, Barras M, Cottrell N. Systematic review of predictive risk models for adverse drug events in hospitalized patients. Br J Clin Pharmacol. 2018;84(5):846–64.CrossRef
19.
Zurück zum Zitat Kaufmann CP, Stämpfli D, Hersberger KE, et al. Determination of risk factors for drug-related problems: A multidisciplinary triangulation process. BMJ Open. 2015;5(3):1–7.CrossRef Kaufmann CP, Stämpfli D, Hersberger KE, et al. Determination of risk factors for drug-related problems: A multidisciplinary triangulation process. BMJ Open. 2015;5(3):1–7.CrossRef
20.
Zurück zum Zitat Krähenbühl-Melcher A, Schlienger R, Lampert M, et al. Drug-related problems in hospitals: A review of the recent literature. Drug Saf. 2007;30(5):379–407.CrossRef Krähenbühl-Melcher A, Schlienger R, Lampert M, et al. Drug-related problems in hospitals: A review of the recent literature. Drug Saf. 2007;30(5):379–407.CrossRef
21.
Zurück zum Zitat Leendertse AJ, Egberts ACG, Stoker LJ, et al. Frequency of and risk factors for preventable medication-related hospital admissions in the Netherlands. Arch Intern Med. 2008;168(17):1890–6. Leendertse AJ, Egberts ACG, Stoker LJ, et al. Frequency of and risk factors for preventable medication-related hospital admissions in the Netherlands. Arch Intern Med. 2008;168(17):1890–6.
22.
Zurück zum Zitat Garin N, Sole N, Lucas B, et al. Drug-related problems in clinical practice: a cross-sectional study on their prevalence, risk factors and associated pharmaceutical interventions. Sci Rep. 2021;11(1):883.CrossRef Garin N, Sole N, Lucas B, et al. Drug-related problems in clinical practice: a cross-sectional study on their prevalence, risk factors and associated pharmaceutical interventions. Sci Rep. 2021;11(1):883.CrossRef
23.
Zurück zum Zitat Geeson C, Wei L, Franklin BD. High-risk medicines associated with clinically relevant medication‐related problems in UK hospitals: A prospective observational study. Br J Clin Pharmacol. 2020;86(1):165–9.CrossRef Geeson C, Wei L, Franklin BD. High-risk medicines associated with clinically relevant medication‐related problems in UK hospitals: A prospective observational study. Br J Clin Pharmacol. 2020;86(1):165–9.CrossRef
24.
Zurück zum Zitat Suggett E, Marriott J. Risk Factors Associated with the Requirement for Pharmaceutical Intervention in the Hospital Setting: A Systematic Review of the Literature. Drugs Real World Outcomes. 2016;3(3):241–63.CrossRef Suggett E, Marriott J. Risk Factors Associated with the Requirement for Pharmaceutical Intervention in the Hospital Setting: A Systematic Review of the Literature. Drugs Real World Outcomes. 2016;3(3):241–63.CrossRef
25.
Zurück zum Zitat Wolff RF, Moons KGM, Riley RD, et al. PROBAST: A tool to assess the risk of bias and applicability of prediction model studies. Ann Intern Med. 2019;170(1):51–8.CrossRef Wolff RF, Moons KGM, Riley RD, et al. PROBAST: A tool to assess the risk of bias and applicability of prediction model studies. Ann Intern Med. 2019;170(1):51–8.CrossRef
26.
Zurück zum Zitat Shane R, Amer K, Noh L, et al. Necessity for a pathway for “high-alert” patients. Am J Health Syst Pharm. 2018;75(13):993–7.CrossRef Shane R, Amer K, Noh L, et al. Necessity for a pathway for “high-alert” patients. Am J Health Syst Pharm. 2018;75(13):993–7.CrossRef
27.
Zurück zum Zitat Falconer N, Barras M, Cottrell N. How hospital pharmacists prioritise patients at high-risk for medication harm. Res Social Adm Pharm. 2019;15(10):1266–73.CrossRef Falconer N, Barras M, Cottrell N. How hospital pharmacists prioritise patients at high-risk for medication harm. Res Social Adm Pharm. 2019;15(10):1266–73.CrossRef
Metadaten
Titel
Consensus on the criteria for patient prioritization in hospital clinical pharmacy services: a Delphi study
verfasst von
Stephanie Ferreira Botelho
Laís Lessa Neiva Pantuzza
Claudyane Pinheiro Marinho
Adriano Max Moreira Reis
Publikationsdatum
17.06.2022
Verlag
Springer International Publishing
Erschienen in
International Journal of Clinical Pharmacy / Ausgabe 4/2022
Print ISSN: 2210-7703
Elektronische ISSN: 2210-7711
DOI
https://doi.org/10.1007/s11096-022-01424-5

Kompaktes Leitlinien-Wissen Innere Medizin (Link öffnet in neuem Fenster)

Mit medbee Pocketcards schnell und sicher entscheiden.
Leitlinien-Wissen kostenlos und immer griffbereit auf ihrem Desktop, Handy oder Tablet.

Neu im Fachgebiet Innere Medizin

Schützt das tägliche Glas Milch vor Darmkrebs?

Die Milch machts – sie bietet Frauen nach Daten einer großen Ernährungsanalyse den besten Darmkrebsschutz aller Lebensmittel, was am hohen Kalziumgehalt liegen dürfte. Am anderen Ende des Spektrums steht der Alkoholkonsum: Das Glas Wein am Abend ist eher ungünstig.

Vorsicht mit Glukokortikoiden bei Glomerulopathie

Auch niedrig dosierte Glukokortikoide zur Behandlung einer primären Glomerulopathie lassen offenbar die Infektionsgefahr steigen. In einer US-Studie hing das Risiko vor allem mit der kombinierten Anwendung von Immunsuppressiva zusammen.

Welche Krebserkrankungen bei Zöliakie häufiger auftreten

Eine große Kohortenstudie hat den Zusammenhang zwischen Zöliakie und gastrointestinalen Krebserkrankungen und inflammatorischen Krankheiten untersucht. Neben gastrointestinalen Tumoren ist auch ein nicht solider Krebs häufiger.

Adjuvanter PD-L1-Hemmer verhindert Rezidive bei Hochrisiko-Urothelkarzinom

Sind Menschen mit muskelinvasivem Urothelkarzinom für die neoadjuvante platinbasierte Therapie nicht geeignet oder sprechen sie darauf nicht gut an, ist Pembrolizumab eine adjuvante Alternative: Die krankheitsfreie Lebenszeit wird dadurch mehr als verdoppelt.

EKG Essentials: EKG befunden mit System (Link öffnet in neuem Fenster)

In diesem CME-Kurs können Sie Ihr Wissen zur EKG-Befundung anhand von zwölf Video-Tutorials auffrischen und 10 CME-Punkte sammeln.
Praxisnah, relevant und mit vielen Tipps & Tricks vom Profi.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.