Development of an Aggregated System for Classifying Causes of Drug-Related Problems

Basger, Ben; Moles, Rebekah; Chen, Timothy

doi:10.1177/1060028014568008

Cited by 64 publications

(77 citation statements)

References 120 publications

(212 reference statements)

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“…DRPs were categorized as nonadherence, overdosing or underdosing, duplication of therapy, preventable adverse drug reaction, missing medication, erroneous medication, conflicting provider information, undermonitoring or lack of monitoring, and wrong medication received. These DRPs were developed and categorized from published literature, specifically a taxonomy developed by Basger and colleagues in 2015 . There were some modifications made to this classification system given the outpatient nature of the study as well as the patient population.…”

Section: Methodsmentioning

confidence: 99%

Development of a Predictive Model for Drug‐Related Problems in Kidney Transplant Recipients

et al. 2017

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These results demonstrated that a straightforward, 5-minute survey completed by renal transplant recipients prior to their clinic visit may be capable of effectively determining those at risk of having six or more DRPs, potentially allowing use as a screening tool for transplant pharmacists' workflow prioritization. External validation is needed before this tool can be used in the outpatient setting.

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Section: Methodsmentioning

confidence: 99%

Development of a Predictive Model for Drug‐Related Problems in Kidney Transplant Recipients

et al. 2017

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“…In Japan, home pharmaceutical care (HPC) was introduced in 1994 under the medical insurance system, and in 2000 under the long‐term care insurance system. HPC is unique in that pharmacists continually implement medicine supply and medication management for home‐bound older adults at risk of drug‐related problems who have difficulties in accessing a community pharmacy . HPC comprises the following steps a patient's doctor requests the patient's preferred community pharmacy to provide HPC the pharmacist visits the patient's home to supply medicines and carry out a medication review the pharmacist prepares a written report documenting HPC findings, which are in turn sent to the doctor and, if HPC is provided under the long‐term care insurance system, the patient's care manager.…”

Section: Introductionmentioning

confidence: 99%

Home healthcare professionals’ perspectives on quality dimensions for home pharmaceutical care in Japan

Fujita

Kushida

Moles

et al. 2018

Geriatrics Gerontology Int

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Aim In Japan, home pharmaceutical care (HPC) has recently been provided to home‐bound older adults who have difficulties in accessing a community pharmacy, for regular medicine supplies and medication management. Although the number of HPC services provided has increased, HPC is not always carried out by clinically well‐trained pharmacists, causing differences in the quality of HPC provided. The aim of the present study was to establish the quality dimensions of HPC (i.e. components that impact the quality of HPC) from the perspectives of home healthcare professionals. Methods Semistructured interviews and focus groups were carried out with nine home healthcare teams, comprising 61 multidisciplinary professionals including pharmacists, doctors, nurses, care managers, home helpers, medical social workers and other relevant stakeholders involved in home healthcare. Participants’ responses were analyzed using thematic analysis. Identified themes were then categorized using Donabedian's framework (structure, process and outcome). Results Nine themes and 27 subthemes emerged, including: structure (pharmacist factors, pharmacy factors and external factors), process (before HPC, during HPC, after HPC and outside of HPC) and outcome (impact on patients and impact on other healthcare professionals). Conclusion This study has identified quality dimensions of HPC from multidisciplinary home healthcare professionals’ perspectives. These findings might be used to inform aspects of HPC that require improvement. In order to evaluate the quality of HPC, a set of indicators based on the identified quality dimensions could be developed. Geriatr Gerontol Int 2019; 19: 35–43.

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“…However, since each DRPs classification system mentioned above has some defects and none of them is absolutely comprehensive, universally valid and accepted,[15] and they differ in the classification of possible DRPs, these centers cannot share data with each other. The purpose of this study is to develop and validate a comprehensive classification system for DRPs documentation for the Iranian patients.…”

Section: Introductionmentioning

confidence: 99%

Validating a drug-related problems classification system in outpatient setting in Iran

et al. 2018

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Objective:Medication Therapy Management service (MTMs) has been introduced to improve cooperation among pharmacists and other healthcare professionals in the management of chronic diseases, drug therapy, and patients on polypharmacy. One part of MTMs is detection and resolution of possible drug-related problems (DRPs). Nowadays, numerous DRPs classification systems are available, but due to some defects none of them are currently accepted and implemented universally. The purpose of this study is to design and validate a comprehensive system for classification and documentation of possible DRPs for the Iranian patients.Methods:In this methodological study, four classification systems were studied, and their differences were reviewed, compared. Ultimately, a comprehensive documentation system was developed and tested for validity using experts' opinions.Findings:A comprehensive list of 53 DRPs under eight categories was developed and examined for validity. After collecting the data and validity assessment, questions with content validity ratio of <0.4 and content validity index of <70% were excluded and modified. Finally, with the exclusion and modification of eight DRPs, a modified DRPs list was created.Conclusion:According to the universality and validity assessment and based on consensus of 20 experts, this DRPs list can be used to regulate the standard operation procedure of outpatient clinics in Iran, and could act toward standardization of this service.

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Development of an Aggregated System for Classifying Causes of Drug-Related Problems

Cited by 64 publications

References 120 publications

Development of a Predictive Model for Drug‐Related Problems in Kidney Transplant Recipients

Development of a Predictive Model for Drug‐Related Problems in Kidney Transplant Recipients

Home healthcare professionals’ perspectives on quality dimensions for home pharmaceutical care in Japan

Validating a drug-related problems classification system in outpatient setting in Iran

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