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A multicentre, prospective, observational study on detecting medication discrepancies using medication reconciliation as a tool at the emergency department among geriatric patients in northwest Ethiopia

Por: Moges · T. A. · Zewdu · W. S. · Yazie · T. S. · Sema · F. D. · Dagnew · F. N. · Tarekegn · G. Y. · Wondm · S. A. · Kiflu · M. · Zeleke · T. K. · Tamene · F. B. · Ferede · Y. A. · Dagnew · S. B.
Objective

Geriatric patients often face issues related to polypharmacy and adverse drug events. Re-evaluating prescribed medications and considering deprescribing is critical. Medication discrepancies (MDs) during care transitions can compromise patient safety, as over 60% of medication errors occur at these points. This study aimed to assess the magnitude of MDs and their contributing factors through the medication reconciliation (MedRec) process among geriatric patients in emergency departments of comprehensive specialised hospitals in northwest Ethiopia, as well as to determine the acceptance of pharmaceutical interventions.

Design

In this multicentre prospective observational study, the best possible medication history (BPMH) was obtained within 24 hours of emergency department admission from at least two sources. A comparison of the BPMH list with medication orders from treating physicians revealed discrepancies. Data were analysed using STATA V.17.0, using multivariable logistic regression to assess variable associations.

Setting

Adult emergency departments of comprehensive specialised hospitals in northwest Ethiopia.

Participants

Overall, 384 geriatric patients with chronic conditions and current medication use who visited the adult emergency department of the hospital from 10 January 2025 to 30 March 2025 were involved in this study.

Outcome measures

Magnitude and types of MDs, acceptance of pharmacist interventions, and factors associated with MDs.

Results

In total, 384 patients with chronic diseases visiting the hospital emergency department were recruited in the present study. Out of 384 patients involved in the study, 218 (56.77%) had encountered at least one MD. Omission error 190 (45.24%) was the most common type of MD, followed by wrong dose 82 (19.50%). Among 420 interventions, 80.48% of the total cases were accepted. Number of previous/home medications (≥5 medicines; adjusted OR (AOR)=3.12; 95% CI 1.190 to 8.151), older age (≥75 years; AOR=1.62; 95% CI 1.054 to 2.495), and number of comorbidities (≥3; AOR=1.65; 95% CI 1.066 to 2.546) were associated factors with MDs.

Conclusion

This study revealed a high prevalence of MDs in the emergency department. Polypharmacy, comorbidities and older age were factors associated with MDs. The study findings show the need for a clinical pharmacist-led MedRec implementation to enhance patient safety.

Prevalence of potentially inappropriate medication prescribing, inappropriate medication use, prescription omission and drug interactions among older adults in Ethiopia: a systematic review and meta-analysis

Por: Yazie · T. S. · Alemu · M. A. · Zewdu · W. S. · Asmare Emiru · Z. · Tarekegn · G. Y. · Meharie · B. G. · Belete · A. M. · Debasu Addisu · Z.
Objective

To determine the prevalence of potentially inappropriate prescribing (PIP), potentially inappropriate medication (PIM), potential prescription omission (PPO), potentially harmful drug–drug interactions (PDDI) and identify associated factors among older Ethiopians.

Design

Systematic review and meta-analysis

Data source

We searched PubMed, HINARI, Scopus and Web of Science databases to identify eligible studies published up to 31 October 2025.

Study selection

Observational studies reported the prevalence of PIP, PIM, PPO and PDDI among older adults from any healthcare settings were screened.

Data extraction and synthesis

Two independent reviewers selected studies, extracted data and assessed the risk of bias. The quality and risk of bias of the studies were assessed using the Newcastle-Ottawa scale and Hoy risk of bias tool, respectively, while the certainty of evidence of outcomes was assessed using Grading of Recommendations, Assessment, Development and Evaluation based on Cochrane recommendations. We used a random-effects model for analyses to estimate the pooled prevalence and associated factors. All data analyses were done using Stata V.17 software.

Main outcomes and measures

The national prevalence of PIP, PIM, PPO and PDDI was estimated as main outcomes. Variations were estimated based on regions, age groups, outcome evaluation tool, disease type and healthcare setting.

Results

The review included 25 studies (n=5662 participants) for PIP or PIM, 14 studies (n=2706 participants) for PDDI and 6 studies (n=1342 participants) for PPO. The pooled prevalence estimate was 41% (95% CI 33% to 48%), I2=96.87% for PIP, 37% (95% CI 31% to 44%), I2=96.33% for PIM, 55% (95% CI 36% to 73%), I2=99.00% for PDDI and 14% (95% CI 6% to 24%), I2=95.07% for PPO. The majority of the studies have very good quality (very good=13, good=1, satisfactory=11 for PIP and PIM; very good=11, satisfactory=3 for PDDI; very good=6 for PPO) and low risk of bias (low risk=18, moderate risk=7 for PIP and PIM; low risk=12, moderate risk=2 for PDDI and low risk=6 for PPO), while all studies for each outcome have low certainty of evidence. Subgroup analyses revealed significant regional and contextual variations. Polypharmacy was significantly associated with PIP (OR=3.72, 95% CI 2.53 to 5.46, p2=69.56%), PIM (OR=4.20, 95% CI 2.91 to 6.06, p2=57.83%) and PDDI (OR=4.51, 95% CI 3.05 to 6.69, p2=0.00%), while hypertension (OR=2.46, 95% CI 1.38 to 4.36, p2=0.00%) was associated with PIP.

Conclusions and relevance

This review found a high prevalence of PIP, PIM, PDDI and PPO among older adults in Ethiopia, with notable heterogeneity across regions. Polypharmacy was associated with PIP, PIM and PDDI, while hypertension showed association with PIP. Despite generally good study quality, the certainty of evidence was low for the included studies due to the cross-sectional design nature, with high heterogeneity. Therefore, these findings should be interpreted cautiously. This study indicates a high burden of inappropriate medication prescribing and its associated factors, underscoring the importance of further robust studies to clarify prescribing practices and associated factors.

PROSPERO registration number

CRD42024556744.

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