- Open Access
Drug-related problems and associated factors in Ethiopia: a systematic review and meta-analysis
Journal of Pharmaceutical Policy and Practice volume 14, Article number: 36 (2021)
Drug-related problems (DRPs) can occur at any stages of medication use processes, and a single drug could be associated with multiple DRPs. Once happened, it adversely affects health outcomes. In Ethiopia, evaluation of the magnitude and factors associated with DRPs had not been attempted at the national level.
The literature search was conducted in the following databases; PubMed, Embase, Medline, and Google Scholar. The quality of the included studies was checked using Joanna Brigg’s Institute (JBI’s) checklist, and data were analyzed using Stata software (version 14.0). The pooled estimate of DRPs was computed by a Random effect model (DerSimonian–Laird method). Cochran’s Q test (I2) statistic)), and Begg’s correlation and Egger’s regression test were assessed for heterogeneity and publication bias, respectively.
Overall, 32 studies with a total sample size of 7,129 were included in the review. The estimated pooled prevalence of DRPs was 70% [0.70 (95% CI 0.64—0.76; I2 = 97.6% p = 0.000)]. Polypharmacy (taking ≥ 5 drugs) [RR = 1.3], medical comorbidity [RR = 1.3], poor medication adherence [RR = 1.7], uncontrolled blood pressure [RR = 1.4], substance use [RR = 1.2], type 2 diabetes [RR = 1.8], significant drug interaction [RR = 1.33], and a negative medication belief [RR = 3.72] significantly influenced the occurrence of DRPs.
The estimated national prevalence of DRPs in Ethiopia was high. Presence of medical comorbidity, using multiple drugs, significant drug interaction, poor medication adherence, uncontrolled blood pressure, type 2 diabetes, substance use and a negative belief about medication significantly influenced the occurrence of DRPs. Initiating and/or strengthening pharmaceutical care services at the health care facilities could lower the occurrence of DRPs. PROSPERO registration number CRD42020162329.
Over the past few decades, the role of the pharmacist has evolved from a compounder and supplier of a drug product to a new paradigm of patient-oriented care . This include patient-centered care such as patient counseling, providing drug information, monitoring drug therapy, and supply chain management . Clinical pharmacy is an area of pharmacy practice that combines the science and practice of rationale use of medications . It is more oriented to the analyses of population needs with regards to medicines, ways of administration, patterns of use, and drug effects on patient outcomes . The clinical pharmacy service is a patient-centered service that promotes an appropriate selection and utilization of medications intending to optimize therapeutic outcomes .
The practice of clinical pharmacy embraces the philosophy of pharmaceutical care (PC) and is a basic component in delivering and improving the quality of PC . The PC is a patient-centered, outcomes-oriented pharmacy practice that requires the pharmacist to work in concert with the patient and the patient's other health care providers to promote health, prevent disease, and assess, monitor, initiate, and modify medication use to assure that drug therapy regimens are safe and effective [5 ]. The primary goal of PC is to maintain the patient’s quality of life and improve clinical outcomes [5, 6]. It is implemented/practiced through the PC cycle that involves patient assessment, developing a care plan, implementing a care plan, and monitoring and reviewing the care plan [6, 7].
Patient taking medication/s on a regular basis often have some unmet needs with regards to their drug therapy. This may be related to indication, effectiveness, safety, or compliance issues. If these patient drug-related needs are not addressed addressed, the drug treatment may result in undesirable effects . In practicing pharmaceutical care, the clinical pharmacist assesses if the patient's drug-related needs were met and identifies the occurrence of drug-related problems (DRPs) [6, 7]. DRPs are an undesirable event or risk of an event that involves or suspected to involve drug therapy, and it interfere with achieving the desired goal of therapy if happened . The undesirable event can be a medical compliant, sign, symptoms, diagnosis, disease, illness, impairment, disability, abnormal laboratory values, or syndrome . DRPs can be classified into seven categories (unnecessary drug therapy, need additional drug therapy, ineffective drug, low dose, adverse drug reaction, high dose, and non-compliance); and once happened, it negatively interfere with a patients’ health outcomes .
Nowadays, the number of drugs in the market have dramatically increased, posing a significant challenge in controlling the safe and rational drug use . This is could be one factor contributing to the occurrence of one or more DRPs. Globally, various studies have been conducted to identify the magnitude and types of DRPs. In one study, every hospitalized patient had one or more DRPs . In a Norwegian systematic review, the prevalence of DRPs ranges from 70% to less than 30% . In a study performed in Malaysia, 90.5% of study subjects had one or more DRPs . Insufficient awareness of health and disease (26%), choice problems (23%), dosing problems (16%), and drug interaction (16%), were the most common DRPs in the study participants DRPs . Based on the study conducted in Minnesota, 70% of participants had one or more DRPs . In a study conducted to identify the magnitude of DRPs, more than half (53.4%) of study subjects had one or more DRPs in which dosing problems (42.7%), selection problems(23.3%) and adverse drug reactions(13.4%) were the commonly identified DRPs . In another study, about one-third (33%) of study subjects had one or more DRPs . The commonly identified DRPs were non-adherence to clinical practice guidelines (29.5%), improper administration (19.6%), drug interaction (16.7%), and high dose (12.8%) . Another study by Koh et al. reported need additional drug therapy (31.3%), non-compliance (28.1%), adverse drug reaction(25%), low dose (12.5%) and high dose (3.1%) were the most commonly encountered DRPs .
The occurrence of DRPs could be influenced by different factors including, the number of drugs (taking ≥ 5) and types of medical conditions . In a study by Urbina et al., polypharmacy, female sex and first time admission to the hospital were predictors of DRPs . The perception that one could stop the medication when the condition is under control, and expectation of cure, also contribute to the occurrence of DRPs . Furthermore, the number of prescription drugs, and the number of over-the counter drugs are also common contributing factors to the occurrence of the DRPs .
Once occurred, DRPs can cause significant morbidity and mortality and result in an enormous economic burden. In one study, 3.3% of total admission was due to DRPs . In a study performed to assess the morbidity and mortality from DRPs, the total cost of drug-related morbidity and mortality was estimated to be more than $117.4 billion . Furthermore, drug-related morbidity and mortality in chronic care were estimated to be $76.7 billion .
Identification and resolution, and prevention of the DRPs is the unique contribution of PC practitioners . To minimize and/or prevent the occurrence of DRPs, and consequent morbidity, mortality, and economic burden of the DRPs, Incorporating and implementation of PC in the health care systems plays a vital role. In a study done to explore the clinical and economic impacts of pharmaceutical care, 61% of DRPs were identified, and upon resolving the problems, it resulted in, 83% improvement in patients’ clinical status and $1,134,162 health care saving .
In Ethiopia, the ward-based clinical pharmacy service was introduced in 2013 . Since then, several studies have been conducted to assess the magnitude, types or factors contributed to the occurrence of DRPs. However, data on the DRPs and contributing factors has not been summarized from these studies to get an insight into the magnitude of the problem. Thus, this systematic review and meta-analysis aimed to determine the magnitude of DRPs and associated factors in Ethiopia.
The Preferred Reporting Items for Systematic review and meta-analyses Protocols (PRISMA) guideline was used in reporting the data. The protocol was registered in the International Register of Systematic Review (PROSPERO) with a registration number of CRD42020162329.
Data sources and searches
We searched for studies that assessed the prevalence, types and/or factors associated with DRPs as a primary or secondary outcome using keywords (drug-related problems, DRPs, drug therapy problems, DTP, unnecessary drug therapy, ineffective drugs, low dose, high dose, adverse drug reaction, and non-compliance) in the following databases; PubMed, Embase, Medline, Google Scholar. The reference lists of the included studies were reviewed to find additional articles. All published and unpublished studies conducted between 2013 and 2019 were included. The literature search was limited to the English language and studies involving human subjects.
Screening and eligibility
Titles, abstracts, and/or full articles of all retrieved studies were assessed for eligibility. Studies were included if they assessed the prevalence, types, and/or factors associated with DRPs as primary or secondary outcomes in patients with any medical conditions treated in the outpatient or inpatient care settings in Ethiopia.
Quality of the included studies was evaluated using Joanna Brigg’s Institute (JBI’s)Critical Appraisal Tools [22, 23]. Relevant information from the included studies was extracted using a data extraction format. Information such as authors’ name, year of publication, study design and setting, the department (a clinic or wards) of health care facility, where the study conducted, medical conditions, sample size, number of patients with DRPs, the total number of DRPs, and sub-types of DRPs (unnecessary drug therapy, need additional drug therapy, ineffective drug, low dose, high dose, adverse drug reaction, and noncompliance) were extracted.
The proportion of DRPs was the primary outcome variable in this review. The magnitude of DRPs in each included study was estimated from the sample size, was estimated out of the sample size, pooled, and reported as a proportion. Factors associated with the occurrences of DRPs were considered as secondary outcomes in this review.
Data synthesis and analysis
Stata software version 14.0 was used for data analyses. The pooled proportion of DRPs was estimated using a random-effect model, and factors associated with the occurrence of DRPs were summarised using. Proportions of the sub-types of DRPs were estimated from the total number of events (DRPs). The average number of DRPs per-patient was computed as a ratio of the total number of events (DRPs) to the number of subjects with events (DRPs). Sensitivity analysis was done to see the influence of specific studies on the occurrence of DRPs. Subgroup analyses were performed by the hospital (Hiwot Fana Specialized University Hospital, Jimma University Medical Centre, Dessie Referal Hospital, Tikur Anbessa Specialized Hospital, Wolaita Referal Hospital, Mizan, Bonga and Tepi General Hospital, Madda-Walabu University Goba Referal Hospital, Zewditu Referal Hospital, Ayder Referal Hospital, Gebre Tsadik Shawo General Hospital, Adama Referal Hospital, Ambo General Hospital, Felege Hiwot Referal Hospital, Dilchora Referal Hospital, Gondar University Referal Hospital), a medical condition (hypertension, diabetes, heart failure, cancer, epilepsy, schizophrenia, and mixed (i.e., unspecified cases from medical, surgical and pediatrics ward) and a hospital department (ambulatory care, medical ward, surgical ward, and pediatrics ward) at which the study performed. The heterogeneity of the included studies was assessed using the Cochran's Q test (Chi-squared (I2) statistic). The presence of publication bias was checked using Begg’s correlation and Egger’s regression test. A p-value of ≤ 0.05 was considered significant in all cases.
Definition of terms 
Unnecessary drug therapy: the drug therapy is unnecessary, because the patient does not have a clinical indication.
Need additional drug therapy: additional drug therapy is required to treat or prevent a medical condition in the patient.
Ineffective drug: the drug product is not being effective at producing the desired response in the patient.
Low dose: the dose is too low to produce the desired response in the patient.
Adverse drug reaction: the drug is causing an adverse reaction in the patient.
High dose: the dose is too high, resulting in undesirable effects experienced by the patient.
Non-compliance: the patient is not able or willing to take the drug therapy as intended.
A total of 187 studies related to DRPs were retrieved. Eighty (80) duplicates were removed. The remaining 107 studies were screened by titles and abstracts, and 72 excluded. Of 72 excluded, 46 were not related to the scope of the review, 20 were studies from other countries, and 6 were review articles. Out of the 35 retained studies, the full text was not accessed for one study and thus, it was excluded. The remaining 34 articles full text were reviewed to assess their eligibility for inclusion. Following full text review, two studies were excluded due to, two studies were excluded due to the absence of outcomes of interest. Therefore, 32 studies that met the pre-defined eligibility criteria were included in the review (Fig. 1).
Characteristics of the study
Overall, 32 studies evaluating the magnitude of DRPs were included in the systematic review and meta-analysis. Studies were conducted among patients with various medical conditions and at different departments within the hospitals such as ambulatory care, medical wards, surgical wards, and pediatrics wards. All included studies assessed the magnitude of DRPs and reported its subtypes (unnecessary drug therapy, need additional drug therapy, ineffective drug, low dose, high dose, and non-compliance). The total sample for the included studies was 7129, ranging from 76 in the study done at Felege Hiwot Referal Hospital  to 423 in the study performed at Tikur Anbessa Specialized Hospital . Of the total subjects from included studies, 4764 had one or more DRPs with an estimated 18,956 total number of DRPs (Table 1).
Of the total included studies, eight studies were conducted in Jimma University Medical Center (JUMC) [26–33], seven were conducted in Tikur Anbesa Specialized Hospital [25, 34–39]. Three studies were conducted in Hiwot Fana Specialized University Hospital –  and two studies were conducted in Dessie Referral Hospital [43, 44]. Majority (n = 20) of the studies were conducted in ambulatory care [24, 25, 27, 30, 34–37, 39–42, 45–52], while eight studies were conducted in the medical wards [26, 28, 29, 32, 38, 43, 49, 53]. Four studies were focused on hypertensive patients [45–48], four studies conducted among patients with diabetes [34, 40, 50, 51] and six studies were conducted among heart failure patients [25, 27, 42, 49, 52, 52]. Furthermore, two studies involved diabetic patients with comorbid hypertension [30, 41] (Table 1).
Proportion with DRPs
The pooled estimate of the prevalence of DRPs was 70% [0.70 (95% CI 0.64—0.76; I2 = 97.6% p = 0.000)] (Fig. 2). The mean number of DRPs per patient was estimated to be 3.89. Moreover, the pooled estimate of sub-types of DRPs was computed. Accordingly, the pooled estimate of indication related problems (unnecessary drug therapy) [10% (0.10; 95% CI 0.08–0.12; I2 = 94.1% p = 0.000)] (Fig. 3) was lower as compared to the pooled estimate of the other indication related problems (need additional drug therapy) [27%(0.27; 95% CI 0.22–0.33; I2 = 97.8% p = 0.000)] (Fig. 4) and the effectiveness related problems (ineffective drug therapy) [12% (0.12; 95% CI 0.09–0.16; I2 = 96.8 p = 0.000)] (Table 2, Fig. 5).
The pooled estimate of effectiveness related problems (low dose) [15% (0.15; 95% CI 0.12–0.19; I2 = 97.0% p = 0.000)] (Fig. 6) was higher than the pooled estimate of both the safety related problems; high dose [9% (0.09; 95% CI 0.07–0.10; I2 = 95.3 p = 0.000)] (Fig. 7) and adverse drug reactions [11% (0.11; 95% CI 0.09–0.14; I2 = 96.6% p = 0.000)] (Fig. 8); however, it was lower than the pooled estimate of compliance related problems (non-compliance) [20% (0.20; 95% CI 0.16–0.25; I2 = 96.7% p = 0.000)] (Fig. 9).
Sensitivity and sub-groups analysis
Sensitivity analysis was performed and a one-on-one removal of studies did not show any effect on the findings (i.e. occurrence of DRPs). Subgroup analysis was done by the hospital, hospital department (Ambulatory care, Medical ward, Pediatrics ward, and surgical ward) and medical conditions (hypertension, diabetes, heart failure, epilepsy, schizophrenia, cancer and mixed (i.e., unspecified cases from medical, surgical and pediatrics ward)). Accordingly, the pooled prevalence of DRPs at Jimma University Medical Centre [68% (0.68; 95% CI 0.53 -0.84; I2 = 98.48% p = 0.00)] was higher compared to the estimated prevalence at Tikur Anbessa Specialized Hospital [60% (0.60; 95%CI 0.50–0.69; I2 = 98.48% p = 0.00)] (Fig. 10).
The sub-group analysis by the departments of the hospital indicated, the estimated pooled prevalence of DRPs at ambulatory care [71% (0.71; 95% CI 0.62–0.79; I2 = 98.0% p = 0.00)] was slightly higher as compared to the estimated pooled prevalence at the medical ward [68% (0.68; 95% CI 0.61–0.74; I2 = 88.8% p = 0.00)] (Fig. 11).
The sub-group analysis by medical condition showed that the estimated pooled prevalence of DRPs among hypertensive patients [71% (0.71;95% CI 0.61–0.82; I2 = 92.32 p = 0.00)] was slightly lower compared to the pooled estimate among diabetic [75% (0.75; 95% CI 0.53–0.96; I2 = 98.76% p = 0.00)] and heart failure patients [77% (0.77; 95% CI 0.65–0.88; I2 = 96.62% p = 0.00)]; but slightly higher compared to pooled estimate among patients with more than one medical conditions (i.e., unspecified cases from medical, surgical and pediatrics ward) [67% (0.67; 95% CI0.58–0.77; I2 = 96.53% p = 0.00)] (Fig. 12).
Factors associated with DRPs
The pooled estimate of factors associated with the occurrence of DRPs indicated that, patients who receive polypharmacy had 1.3 times more chance to experience DRPs as compared to those who were not on polypharmacy [(RR = 1.3:95% CI 1.187–1.43)]. Similarly, patients who had a comorbid medical condition had 1.293 times more likely to encounter DRPs compared to patients with no medical comorbidity [(RR = 1.3; 95% CI 1.16–1.44)]. Other factors such as having type 2 diabetes [(RR = 1.8; 95% CI1.08—2.98)], poor medication adherence [(RR = 1.7; 95% CI 1.28—2.39)], uncontrolled blood pressure [(RR = 1.4;95% CI1.28–2.39)], substance use [(RR = 1.2; 95%CI1.06–1.38)], significant drug interactions [(RR = 1.33; 95% CI1.05–1.69)], a negative belief about medicine [(RR = 3.72; 95% CI 2.31—5.97)], talking ≥ 3 drugs [(RR = 1.47; 95% CI 1.22—1.77)], were also significantly associated with the occurrence of DRPs (Table 3).
A test for publication bias was performed using Begg’s correlation and Egger’s regression test. Both tests did not show evidence for the presence of publication bias among the included studies (p = 0.178 and p = 0.213, respectively) (Fig. 13).
To the best of our knowledge, this is the first systematic review and meta-analysis to determine the prevalence of DRPs and associated factors in Ethiopia. This review included 32 studies that evaluated the prevalence and factors associated with the occurrence of DRPs. Of the total included studies, the majority (n = 20) were conducted in the ambulatory care settings where heart failure, hypertension, and diabetes were the most commonly involved chronic medical conditions.
The pooled prevalence estimate of DRPs in this review was comparable with the prevalence of DRPs reported in the study conducted in Minnesota . However, it was lower than the prevalence identified in studies conducted in Malaysia (90.5% , Brazil (91.7%)  and Kenya (93.8%) ; but higher than the result reported in the studies conducted in Nigeria , Saudi Arabia (45.2%) , China (21.0%)  and Spain (29.8%) .
The sub-group analysis by the hospital department showed that the magnitude of DRPs was slightly higher at the ambulatory care compared to the medical wards. This could perhaps due to the fact that patents treated in the ambulatory care settings were slightly older as as compared to other settings, and often with multiple medical co-morbidities, taking multiple drugs and a complex regimen potentially predisposing them to experience more DRPs. Besides, a sub-group analysis by a medical condition showed that the magnitude of DRPs among heart failure patients was higher than hypertensive and diabetic patients. This may be due to the fact that patients with heart failure had more co-morbidities and multiple medications and thus, may have experienced higher rates of DRPs compared to patients with diabetes and hypertension . The estimated magnitude of DRPs in patients with hypertensive and diabetes in this review was higher compared to the magnitude reported in a study conducted in Nigeria; 49.8% and 50.2% in hypertensive and diabetic patients, respectively . Likewise, the estimated magnitude of DRPs in heart failure patients was higher compared to results reported in a study conducted in Spain (29.8%)  and North Cyprus (63%) .
The finding from the pooled estimate of factors associated with DRPs revealed that the number of drugs used was significantly influenced the risk to experience DRPs. This result was similar to the finding from a study conducted in China  and Spain . Taking multiple drugs has been linked to adverse health outcomes including drug interactions and poor adherence to treatment. Moreover, our review showed that presence of medical comorbidities was significantly associated with the occurrence of DRPs. This could imply that patients with medical comorbidity often use multiple medications that predispose them to one or more DRPs. Likewise, drug interactions were significantly associated with the occurrence of DRPs in this review. Drug interactions can lead to an increase or a decrease in the clinical effect of one or more of combined drugs which predisposes the patient to encounter DRPs. Our review also found that uncontrolled blood pressure was significantly associated with occurrence of DRPs. Patients with uncontrolled blood pressure often receive combination of multiple drugs and the use of concurrent multiple medicines might be a factor predisposing patients to DRPs. Likewise, in our review, poor medication adherence and a negative medication belief were significantly associated with the occurrence of DRPs. Poor medication adherence, and having a negative belief about medicine are often associated with compliance- related DRPs and this was found as the most common sub-types of DRPs in our review. Furthermore, substance use was significantly associated with the occurrence of DRPs in this review. This might be due to the fact that self medication with various substances may result in drug drug-drug/drug-substance interactions or patients not taking their medications appropriately.
The pooled estimate of the proportion of DRPs by sub-types indicated that the indication related problems (need additional drug therapy) were the most frequently encountered DRPs. This reflects that most patients require initiation of additional drug therapy for their untreated medical condition or prophylactic purpose. The magnitude of indication related problems (need additional drug therapy) identified in this review was lower than the magnitude observed in studies conducted in Kenya (39.2%)  and Nigeria (100%) , but higher than the magnitude reported in studies conducted in Spain (3.13%)  and North Cyprus (20%) . The proportion of indication related problems (unnecessary drug therapy) was slightly lower compared to the proportion reported in a study done in Kenya (12.4%) , but higher than the proportion reported in a study conducted in China (7.3%) . The inconsistency could be due to the difference in the categorization of DRPs, sample size, and experience in PC practice in the institutions. On the other hand, effectiveness related problems (dose too low) were the second most frequently encountered DRPs sub-types; indicating that patients were using sub-optimal therapeutic doses which did not result in a desired clinical response. Compared to our study, a higher magnitude of effectiveness related problems (dose too low) was reported in the study undertaken in Brazil (20.8%)  and Kenya (19.8%) , but the lower figure was reported in the study done in Jagdalpur (7.63%)  and Malaysia (1.3%) . Another effectiveness related problems (ineffective drug) in this review was higher than the effectiveness related problems identified in the study done in Brazil (9.2%)  and Malaysia (8.8%) , but it was lower than the effectiveness related problems reported in the study performed in Nigeria (28.4%) . This discrepancy could be explained by a difference in the classification of drug-related problems, the experience in PC service, study design, and sample size.
The proportion of safety-related problems (adverse drug reaction) in this review was comparable to the proportion identified in the study done in China (11.0%)  but lower than the proportion reported in the study conducted in Nigeria (40.4%) . The proportion of another safety-related problem (dose too high) was lower than the proportion reported in the study done in Malaysia (11.3%)  and China (15.9%) , but higher than the proportion reported in the study undertaken in Brazil (1.6%) . This variation could be due to the difference in study design, categorization of drug-related problems, and experience in a practice setting.
The proportion of non-compliance in this review was lower than the magnitude identified in the study performed in Jagdalpur (46.6%) , Kenya (32.1%) , South-West Nigeria (55.4%) , Brazil(25.0%) ; however, it was higher than the proportion of non-compliance stated in the study done in Malaysia (12.9%) and Brazil (4.7%) . This inconsistency might be due to differences in the study population, categorization of DRPs, and PC practice of healthcare professionals in the setting.
Strength and limitation
This systematic review and meta-analysis were the first of its kind to estimate and pointed out the prevalence, sub-types, and factors associated with DRPs in Ethiopia. However, it was not without limitations. Some of the included studies differ in their design, types of patients involved, medical conditions and medications used, and health care settings in which the studies were conducted. This has limited our ability to draw conclusions on some data such as typs/class of medication most commonly contributing to occurrence of DRPs and priority areas for prevention of DRPs in resource limited settings.
The estimated national prevalence of DRPs in Ethiopia was seemed high. The magnitude of DRPs was slightly higher at ambulatory care and among patients with hypertension, heart failure, and diabetes. Moreover, need additional drug therapy, low dose, and non-compliance were among the frequently encountered DRP sub-types. The number of drugs used, significant drug interaction, poor medication adherence, uncontrolled blood pressure, type 2 diabetes, substance use, a negative medication belief, and medical comorbidity were the factors that significantly influenced the occurrence of DRPs. Improving involvements of clinical pharmacist in the multidisciplinary health care team, and initiating or and strengthening the pharmaceutical care service at every health care facility in the country should be considered, since clinical pharmacist has a significant contribution in identification and resolution of DRPs.
Availability of data and materials
The raw data used in the review was submitted as Additional file 1.
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The authors acknowledged the staffs of school of pharmacy, department of health and medical sciences, Haramaya University, Ethiopia.
No funding was received to do the study.
The authors declare that they have no any competing interests.
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Adem, F., Abdela, J., Edessa, D. et al. Drug-related problems and associated factors in Ethiopia: a systematic review and meta-analysis. J of Pharm Policy and Pract 14, 36 (2021). https://doi.org/10.1186/s40545-021-00312-z
- Drug-Related problems
- Systematic review and meta-analysis