Background The prevalence of drug-related problems in patients hospitalized at respiratory care units is unknown in mainland China. Objective To identify and categorize drug-related problems in a respiratory care unit in China. Setting Respiratory care unit in a tertiary university hospital in China. Methods Clinical pharmacy services were introduced and documented during an 18-months study period. The problems were categorized using the Pharmaceutical Care Network Europe DRP classification tool V8.02. Main outcome measures Problems and causes of drug-related problems, interventions proposed, and outcome of pharmacy recommendations. Results A total of 474 patients were reviewed, 164 patients had DRPs (34.6%). Total 410 problems were identified, an average of 2.5 per patient. Treatment effectiveness was the major type of problem detected (219; 53.4%) followed by treatment safety (140; 34.1%). The most common causes of the problems were patient-related (25.8%), drug selection (24.0%), and drug use process (23.4%). Pharmacist made 773 interventions; average 1.9 per drug-related problem. A total of 96.2% of these interventions were accepted leading to solving 81.9% of the identified problems. Conclusion There is a high prevalence of drug-related problems in patients hospitalized at the respiratory unit of this clinic. Clinical pharmacists should focus on improving prescribing practice and patient counseling.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11096-019-00922-3 | DOI Listing |
Pharmazie
December 2024
Drug Safety Center, Medical Faculty, Leipzig University and Leipzig University Hospital, Germany.
: Interprofessional education of medical and pharmacy students may improve competence-based university teaching. : We developed a joint bed-side teaching to improve patient-related competencies in identifying drug-related problems in hospitalized patients at a university cardiology department. Students were randomly allocated in mixed teams of medical and pharmacy students (1:3).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Pharmacy, Nhan Dan Gia Dinh Hospital, Ho Chi Minh City, Vietnam.
Evidence of antihypertensive drug-related problems (aDRP) is limited in Asian ambulatory care. To better detect aDRP without causing alert fatigue, we investigated whether adding more antihypertensive agents was associated with increasing aDRP risk and factors associated with physician acceptance of aDRP correction. We conducted a cross-sectional study targeting ambulatory prescriptions of Vietnamese patients with hypertension who either received standard therapy (using two or fewer medications, SdT) or standard plus add-on therapy (using more than two medications, SdT + add-on).
View Article and Find Full Text PDFRes Social Adm Pharm
January 2025
Laboratory of Teaching and Research in Social Pharmacy (LEPFS), Department of Pharmacy, Federal University of Sergipe, Cidade Universitária "Prof. José Aloísio Campos", Jardim Rosa Elze, São Cristóvão, SE, CEP: 49100- 000, Brazil. Electronic address:
Background: Worldwide, hospitals are responsible for restoring health. However, poorly executed processes in these institutions can lead to risks and harm to patients, especially in identifying drug related problems. This fact justifies the proposal of tools to support the diagnosis, management and resolution of these problems.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Department Pharmaceutical Sciences, University of Basel, Basel, Switzerland.
Introduction: Care transitions, specifically hospital discharge, hold a risk for drug-related problems and medication errors. Effective interventions that optimise medication use during and after transitions are needed, yet there is no standardisation of the outcomes. This literature review aimed at collecting outcomes from studies investigating how to optimise medication use of patients following hospital discharge, and to categorise them, as a first step in the development of a core outcome set.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!