ArticleDrug, healthcare and patient safety2017
Prediction of drug-related problems in diabetic outpatients in a number of hospitals, using a modeling approach.
Article in Drug, healthcare and patient safety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Machine learning methods for predicting adverse drug events: A systematic review.British journal of clinical pharmacology · 2026Pooled it
- Pharmaceutical care-based interventions in type 2 diabetes mellitus : a systematic review and meta-analysis of randomized clinical trials.Einstein (Sao Paulo, Brazil) · 2020Pooled it
- Drug-related problems identified in patients attending primary healthcare centers in Jordan.Medicine · 2026Observational
- The Association between Drug-Related Problems and Length of Stay of Type 2 Diabetes Mellitus Patients.The Malaysian journal of medical sciences : MJMS · 2024Article
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- Costs saved and avoided from pharmacist interventions to address drug-related problems identified from outpatient clinics in Jordan.PloS one · 2024Article
- Drug-related problems among type 2 diabetic patients in Sunwal Municipality of Western Nepal.PloS one · 2024Article
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- Article
- Medication Errors and Type 2 Diabetes Management: A Qualitative Exploration of Physicians' Perceptions, Experiences and Expectations From Quetta City, Pakistan.Frontiers in medicine · 2022Article
- Identification and resolution of drug-related problems among diabetic patients attending a referral hospital: a prospective observational study.Journal of pharmaceutical policy and practice · 2021Article
- Drug-Related Problems in Prescribing for Pediatric Outpatients in Vietnam.Healthcare (Basel, Switzerland) · 2021Article
- Drug-Related Problems and Their Predictors Among Patients with Diabetes Attending the Ambulatory Clinic of Gebre Tsadik Shawo General Hospital, Southwest Ethiopia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Assessment of drug-related problems among type 2 diabetic patients on follow up at Hiwot Fana Specialized University Hospital, Harar, Eastern Ethiopia.BMC research notes · 2019Article
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- Assessment of drug related problems among type 2 diabetes mellitus patients with hypertension in Hiwot Fana Specialized University Hospital, Harar, Eastern Ethiopia.BMC research notes · 2018Article
- Medication errors in Jordan: A systematic review.International journal of critical illness and injury scienceReview
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDrug-related problems (DRPs) are considered a serious, expensive, and important undesirable complication of health care. However, as current health care resources are limited, pharmacist DRP services cannot be provided to all patients. Using a modeling approach, we aimed to identify risk factors for DRPs so that patients for DRP-reduction services can be better identified.
methodsPatients with diabetes from outpatient clinics from five key university-affiliated and public hospitals in Jordan were assessed for DRPs (drug without an indication, untreated indication, and drug efficacy problems). Potential risk factors for DRPs were assessed. A logistic regression model was used to identify risk factors using a randomly selected, independent, nonoverlapping development (75%) subsample from full dataset. The remaining validation subsample (25%) was reserved to assess the discriminative ability of the model.
resultsA total of 1,494 patients were recruited. Of them, 81.2% had at least one DRP. Using the development subsample (n=1,085), independent risk factors for DRPs identified were male gender, number of medications, prescribed gastrointestinal medication, and nonadherence to self-care and non-pharmacological recommendations. Validation results (n=403) showed an area under the receiver operating characteristic curve of 0.679 (95% confidence interval=0.629-0.720); the model sensitivity and specificity values were 65.4% and 63.0%, respectively.
conclusionWithin the outpatient setting, the results of this study predicted DRPs with acceptable accuracy and validity. Such an approach will help in identifying patients needing pharmacist DRP services, which is an important first step in appropriate intervention to address DRPs.
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