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Wu L, Lv Z, Chen M, Zheng X, Li L, Du S, Han L, Yin Q, Wang Y, Liu X, Li W, Huang X, Wang H, Yi X, Cui X, Chen Z, Wang Y, Hou Y, Zheng X, Lei Y, Gou M, Wu Y, Kang F, Cai F, Liang S, Yang Y, Li J, Bian Y. Practice Guidelines for the Value Evaluation of Clinical Pharmacy Services (version 2). Front Public Health 2025; 12:1472355. [PMID: 39877920 PMCID: PMC11772294 DOI: 10.3389/fpubh.2024.1472355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 12/13/2024] [Indexed: 01/31/2025] Open
Abstract
Objective To optimize the construction of pharmaceutical services in medical institutions, advance the development of clinical pharmacy as a discipline, enhance the level of clinical pharmacy services, systematically implement and evaluate clinical pharmacy practices, and improve patient therapeutic outcomes, we have developed the Practice Guidelines for the Value Evaluation of Clinical Pharmacy Services (Version 2). Methods This guideline was designed following the World Health Organization (WHO) Guideline Development Manual. The Delphi method was employed to identify clinical questions. A comprehensive systematic search was conducted to collect existing evidence on relevant issues, and the systematic reviews, evidence grading, and evidence summaries were subsequently compiled. The guideline employs the Joanna Briggs Institute (JBI) evidence level system from Australia and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system introduced by WHO in 2004 to classify the quality of evidence. Consensus on the recommendations and evidence levels was achieved through the Delphi method, resulting in the formation of the Practice Guidelines for the Value Evaluation of Clinical Pharmacy Services (Version 2). Results Through a questionnaire survey of over 100 experts and the Delphi method voting, 23 preliminary indicators for evaluating the value of clinical pharmacy services were identified. The content of these included indicators was searched according to the PICO principle, followed by systematic reviews, meta-analyses, network meta-analyses, and related original research. Each search strategy was reviewed and approved by the guidelines steering committee. Ultimately, three dimensions for evaluating the value of clinical pharmacy were identified, encompassing 15 indicators, resulting in 20 recommendations. Conclusion This guideline presents a set of metrics to assess the quality and effectiveness of clinical pharmacy services, which is crucial for enhancing and elevating clinical pharmacy services in healthcare institutions. Systematic review registration http://www.guidelines-registry.org/guide/28502a74-7038-439c-bdee-d355747e2a9d, identifier: PREPARE-2022CN756.
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Affiliation(s)
- Liuyun Wu
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Ziyan Lv
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Min Chen
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xingyue Zheng
- Department of Pharmacy, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Lian Li
- Department of Pharmacy, The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Shan Du
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Lizhu Han
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Qinan Yin
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yin Wang
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xinxia Liu
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wenyuan Li
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xuefei Huang
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hulin Wang
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaoqing Yi
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaojiao Cui
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhujun Chen
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yueyuan Wang
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yingying Hou
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xi Zheng
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yang Lei
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Mengqiu Gou
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yue Wu
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Fengjiao Kang
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Fengqun Cai
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Shuhong Liang
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yong Yang
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jinqi Li
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuan Bian
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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Novais T, Reallon E, Martin J, Barral M, Krolak-Salmon P, Coste MH, Zenagui H, Garnier-Crussard A, Hoegy D, Mouchoux C. Clinical impact of an individualised clinical pharmacy programme into the memory care pathway of older people: an observational study. Int J Clin Pharm 2024; 46:889-898. [PMID: 38642248 DOI: 10.1007/s11096-024-01723-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 03/08/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND In older patients, medication exposure [i.e. polypharmacy, potentially inappropriate medications (PIMs), medications with anticholinergic and/or sedative properties] is a modifiable risk factor associated with cognitive iatrogenic risk and dementia. AIM To assess the potential clinical impact of the implementation of an individualised clinical pharmacy programme at the initiation of the Memory care pathway in older patients with a cognitive complaint. METHOD This prospective observational study included older patients with high-risk of adverse drug event (HR) admitted in a French geriatric university hospital to explore the cognitive complaint or the cognitive disorder between January and November 2021. Drug-related problems (DRPs) were identified during a medication review performed in HR patients, and pharmaceutical interventions (PIs) notified in the patient's hospitalisation report were collected. The clinical impact of PIs was assessed by an expert panel (geriatricians and clinical pharmacists) using the Clinical, Economic, and Organisational (CLEO) tool. RESULTS Overall, 326 patients were eligible and 207 (63.5%) were considered as HR patients. Among HR patients, 88.9% (n = 184) were treated using at least 5 medications (polypharmacy), and 36.7% (n = 76) received at least one PIM with cognitive iatrogenic risk. During the medication review, 490 PIs were provided and their clinical impact was rated as minor for 57.3% (n = 281), moderate for 26.7% (n = 131), and major for 2.5% (n = 12). CONCLUSION The integration of clinical pharmacist secured the Memory care pathway of older patients with a cognitive complaint by identifying an important number of DRPs and PIMs with potential cognitive iatrogenic risk.
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Affiliation(s)
- Teddy Novais
- Pharmaceutical Unit, Lyon Institute for Aging, Charpennes Hospital, University Hospital of Lyon, 27 rue Gabriel Péri, 69100, Villeurbanne, France.
- Research on Healthcare Performance (RESHAPE), INSERM U1290, University Lyon 1, Lyon, France.
| | - Elsa Reallon
- Pharmaceutical Unit, Lyon Institute for Aging, Charpennes Hospital, University Hospital of Lyon, 27 rue Gabriel Péri, 69100, Villeurbanne, France
| | | | | | - Pierre Krolak-Salmon
- Day-Care Unit, Lyon Institute for Aging, Charpennes Hospital, University Hospital of Lyon, Lyon, France
- Clinical and Research Memory Center of Lyon, Lyon Institute for Aging, Hospices Civils de Lyon, France
- Eduwell Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, UCBL1, Lyon, France
| | - Marie-Hélène Coste
- Day-Care Unit, Lyon Institute for Aging, Charpennes Hospital, University Hospital of Lyon, Lyon, France
- Clinical and Research Memory Center of Lyon, Lyon Institute for Aging, Hospices Civils de Lyon, France
| | - Hanane Zenagui
- Day-Care Unit, Lyon Institute for Aging, Charpennes Hospital, University Hospital of Lyon, Lyon, France
| | - Antoine Garnier-Crussard
- Day-Care Unit, Lyon Institute for Aging, Charpennes Hospital, University Hospital of Lyon, Lyon, France
- Clinical and Research Memory Center of Lyon, Lyon Institute for Aging, Hospices Civils de Lyon, France
- Eduwell Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, UCBL1, Lyon, France
| | - Delphine Hoegy
- Pharmaceutical Unit, Groupement Hospitalier Est, University Hospital of Lyon, Lyon, France
- Health, Systemic, Process (P2S), Research Unit 4129, University Claude Bernard Lyon 1, University of Lyon, Lyon, France
| | - Christelle Mouchoux
- Pharmaceutical Unit, Lyon Institute for Aging, Charpennes Hospital, University Hospital of Lyon, 27 rue Gabriel Péri, 69100, Villeurbanne, France
- Research on Healthcare Performance (RESHAPE), INSERM U1290, University Lyon 1, Lyon, France
- Eduwell Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, UCBL1, Lyon, France
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Copinga ML, Kok EA, van Dam AJJ, Wever A, Tromp A, Woerdenbag HJ. Developing Medication Reviews to Improve the Aruban Healthcare System: A Mixed-Methods Pilot Study. PHARMACY 2024; 12:108. [PMID: 39051392 PMCID: PMC11270182 DOI: 10.3390/pharmacy12040108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/04/2024] [Accepted: 07/09/2024] [Indexed: 07/27/2024] Open
Abstract
This study investigated whether and how medication reviews (MRs) conducted by pharmacists and general practitioners (GPs) with patient involvement can be performed on the island of Aruba (Dutch Caribbean). In this mixed-methods pilot study (both qualitative and quantitative), constructive and observational methodologies were combined. Healthcare providers' and patients' views on MRs and aspects of Aruban healthcare and culture relevant to MRs were examined. These insights were used to develop a protocol for conducting and implementing MRs in Aruba. Surveys were distributed and semi-structured interviews were held among Aruban community pharmacists and GPs, and a pilot program was created in which MRs were carried out with four Aruban patients and their GPs. According to the included healthcare providers, the main purpose of MRs is to optimize the patient experience and achieve concordance. Even though pharmacists and GPs consider their partnership equal, they have different views as to who should bear which responsibility in the MR process in matters regarding patient selection and follow-up. Common Aruban themes that were mentioned by the healthcare providers and deemed relevant for conducting MRs included behaviour/culture, healthcare, lifestyle, and therapy compliance. Anamnesis should be concise during the MR, and questions about medication storage, concerns, beliefs, and practical problems, as well as checks for limited health literacy, were considered important. In the pilot, at least three to, maximally, eight pharmacotherapy-related problems (PRPs) were detected per MR consultation, such as an incorrect dosage of acetylsalicylic acid, an inappropriate combination tablet for blood pressure regulation, and the absence of important laboratory values. All patients considered their consultation to be positive and of added value. In addition, it was observed that an MR can potentially generate cost savings. The information obtained from the healthcare providers and patients, together with the basic principles for MRs, as applied in the Netherlands, led to a definitive and promising MR format with practical recommendations for community pharmacists in Aruba: in comparison with the Dutch MR approach, GPs and pharmacists in Aruba could collaborate more on patient selection for MRs and their follow-up, because of their specific knowledge regarding the medications patients are taking chronically (pharmacists), and possible low levels of health literacy (GPs). Taking into account the Aruban culture, pharmacists could ask extra questions during MRs, referring to lifestyle (high prevalence of obesity), readability of medication labels (limited literacy), and herbal product use (Latin American culture). GPs and medical specialists sometimes experience miscommunication regarding the prescription of medication, which means that pharmacists must carefully take into account possible duplicate medications or interactions.
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Affiliation(s)
- Minke L. Copinga
- Pharmacy Master Programme, School of Science and Engineering, University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands; (M.L.C.); (E.A.K.)
| | - Ellen A. Kok
- Pharmacy Master Programme, School of Science and Engineering, University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands; (M.L.C.); (E.A.K.)
| | - Anke J. J. van Dam
- Pharos, Expertise Center on Health Disparities, Arthur van Schendelstraat 600, 3511 MJ Utrecht, The Netherlands;
| | - Anoeska Wever
- Botica di Servicio, Caya Punta Brabo 17, Oranjestad, Aruba;
| | - Adrienne Tromp
- Botica di Servicio, Caya Punta Brabo 17, Oranjestad, Aruba;
| | - Herman J. Woerdenbag
- Department of Pharmaceutical Technology and Biopharmacy, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
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Kalfsvel L, Wilkes S, van der Kuy H, van den Broek W, Zaal R, van Rosse F, Versmissen J. Do junior doctors make more prescribing errors than experienced doctors when prescribing electronically using a computerised physician order entry system combined with a clinical decision support system? A cross-sectional study. Eur J Hosp Pharm 2023:ejhpharm-2023-003859. [PMID: 37652663 DOI: 10.1136/ejhpharm-2023-003859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/08/2023] [Indexed: 09/02/2023] Open
Abstract
OBJECTIVES Prescribing errors can lead to inconvenience, morbidity and mortality. It is therefore crucial to educate doctors to prescribe safely, efficiently and effectively. To create an effective educational programme, it is essential to understand which errors are made and by whom. The aim of this study is to explore if the experience level of the doctor influences how many and which prescribing errors are made in a European academic teaching hospital, where a computerised physician order entry system (CPOE) with a clinical decision support system (CDSS) is exclusively used. METHODS Prescriptions for all inpatients in an academic teaching hospital were collected in June 2021. All prescriptions with an alert generated by the CDSS which could not be handled by a pharmacy technician according to local protocol were checked for errors. Identified errors were categorised by type and severity. RESULTS A total of 130 538 prescriptions were newly made or altered by doctors. Of these prescriptions, 1914 (1.5%) were retained for a check by the pharmacist. These contained 430 prescribing errors (0.3% of total prescriptions). Doctors not in specialty training and those in specialty training made more prescribing errors than consultants (0.5% and 0.5% vs 0.1%; p<0.001). Doctors in specialty training made relatively more drug-drug interaction errors than consultants (n=31 (16%) vs n=3 (3%), p<0.05). No significant difference was found regarding the severity of the errors. CONCLUSIONS Doctors not in specialty training and doctors in specialty training, who are the less experienced doctors, make more prescribing errors than consultants, even with the use of a CPOE combined with CDSS. The type of errors differ between doctors of different experience levels. This finding provides a solid basis for specific additional education to medical students, doctors not in specialty training and doctors in specialty training.
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Affiliation(s)
| | - Sarah Wilkes
- Hospital Pharmacy, Erasmus MC, Rotterdam, Netherlands
| | | | | | - Rianne Zaal
- Hospital Pharmacy, Erasmus MC, Rotterdam, Netherlands
| | | | - Jorie Versmissen
- Hospital Pharmacy, Erasmus MC, Rotterdam, Netherlands
- Internal Medicine, Erasmus MC, Rotterdam, Netherlands
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