key: cord-0691483-3ohjnhqb authors: Bekele, Firomsa; Bereda, Gudisa; Tamirat, Lalisa; Geleta, Bonsa Amsalu; Jabessa, Dabala title: “Childrens are not just “little adults”. The rate of medication related problems and its predictors among patients admitted to pediatric ward of southwestern Ethiopian hospital: A prospective observational study date: 2021-09-07 journal: Ann Med Surg (Lond) DOI: 10.1016/j.amsu.2021.102827 sha: 2402866ff4f3f354a0e8912bbbe55fcc35ff66a8 doc_id: 691483 cord_uid: 3ohjnhqb BACKGROUND: The rate of medication related problems is high in developing countries due to the complexity of pediatrics medication management. Pediatric population should have their own dosage regimens. The pediatric dosage regimens were derived from the adult dose that might lead to sudden reach of sub or supra-therapeutic doses. As the result, the medication therapy management is difficult in this populations. Despite this, a scanty of studies were conducted on medication related problems among pediatric populations. Therefore, this study examined the prevalence and risk factors for the occurrence of the medication related problems among patients admitted to pediatric ward of Mettu karl referral hospital. PATIENTS AND METHODS: The pediatric population who were received the pharmacotherapy for their disease was observed and followed for the occurrences of medication related problems at pediatric wards of Mettu karl referral hospital from February 12, 2020 to February 24, 2021. Patients whose age was less than or equal to 18 years and who were on drug therapy or who needs drug therapy during study period were included. The possibility of adverse drug reactions developed from the drug was assessed by using the Naranjo scale. Multivariable logistic regression analysis was used to determine the predictors of medication related problems. RESULT: Over the study period, a total of 189 pediatric populations were included. Among these, 115 (60.8%) were males, and the mean age of the patients was 1.4339 ± 0.864 years. The mediciation related problems was found among 121(64.01%) of pediatric patients. Among seven types of drug therapy problems unnecessary drug therapy, need additional drug therapy, ineffective drug therapy and dose too high were the most predominantly occured DRP that accounted 74 (27.72%), 67 (25.09%), 43 (16.10%), 36 (13.48%), respectively. The mean number of hospital stay was 4.29 days with minimum and maximum stay of 2 and 9 days and antibiotics 364(51.3%) were the most common class of drugs that was associated with drug related problems. Being a neonate (AOR = 1.48, 95CI%: 1.69–7.42, P = <0.001), hospital stay greater than or equal to seven days (AOR = 1.98, 95CI%: 2.471–12.644, P = 0.016), and the presence of co-morbidity(AOR = 2.507, 95CI%: 3.270–4.949, P = 0.080) were the predictors of the medication related problems. CONCLUSION: The prevalence of medication-related problems in pediatrics patient was found to be high. Being neonatal, prolonged hospital stay and the presence of a multiple disease were the predictors of medication-related problems in pediatric patients. Therefore special attention should be given for newborns, prolonged hospital stay and patients having co-morbidity. Besides this, the drug information service and the patients round activity should be started by clinical pharmacist to decrease the occurences of any preventable medication related problems. Drug related problem(DRP) is a problem that interferes with a patient's pharmacotherapy that results in poor treatment outcomes [1] [2] [3] . MRP that are catagorised as actual, if observable harms are reach the patients and potential if there is a possibility to affect the patients in the future [4, 5] . This includes need additional drug therapy, unnecessary drug therapy, ineffective drug, dose too low or too high, adverse drug reactions, and non-compliance [6] . MRP can have a negative impact on the patients quality of life and health care budgets as the result of decreased effectiveness of therapy [7] . MRPs can affects the patients goals of therapy and increases the patients demand for additional drug prescription that results in poly-pharmacy, and increased the hospitalization rate [4, 8] . Despite the MRPs can affect patients of all ages, high prevalence of the problem in children has become a major concern [9] . This might be due to weight-based dosing, difficulties of dilutions, unability of the pediatrics to communicate and they are easily exposed to the side effects of the drugs as the results of immature organ functions like kidney and liver [6] . "Children are not just "little adults"in which they should have their own pharmacokinetic and pharmacodynamic profile. Extrapolating the adult dose to the pediatrics may lead to the sudden reach of sub or supratherapeutic doses and make medication monitoring difficult [3] . Many of the drugs that are used in pediatrics were off-label due to lack of clinical trials studies on this special populations [10] . The drug use in children may be accompanied by many adverse reactions not observed in adults [2] . Therefore, appropriate medication should be given for pediatric patients [6] . Generally, unresolved MRP can affects the childrens quality of life, increases the social and economic burden of disease, patients readmission, prolonged hospital staay, and finally leads to mortality [3, 11] . The rate of medication related problems in developing countries is high that accounts from 31.57% to 80.1% as the result of the complexity of pediatrics medication management [9] . Despite this, limited studies conducted on pediatric populations and no finding on our study area related to pediatric medication use problem. Hence, this study aimed to assess the rate of medication-related problems and associated factors among patients admitted to the pediatric ward of MKRH. The pediatric population who were received the pharmacotherapy for their disease was observed and followed for the occurrences of medication related problems. The study was conducted at Mettu karl referral hospital (MKRH) from February 12, 2020 to February 24, 2021. MKRH is found in Mettu town, South West Oromia, Ethiopia which is found at 600 km from Finfinne. There are different wards and clinics within MKRH; those include internal medicine ward, surgery ward, pediatric ward, gynecology and obstetrics ward, antenatal clinic, dental clinics, tuberculosis clinic, anti-retro viral therapy clinic and ophthalmic clinic. The work has been reported in line with the strengthening the reporting of cohort studies in surgery (STROCSS) criteria [12] . Patients whose age was less than or equal to 18 years and complete registration charts who were on drug therapy or who needs drug therapy during study period and with more than 48 hours of length of hospital stay were included. Pediatric patients whose drug therapy information was incomplete or no drug orders on their charts, and who was admitted to intensive care unit were excluded. The medication related problem was the primary outcome. Hill-Bone Compliance to High Blood Pressure Therapy Scale was used to measure medication adherence [13] . For this study purpose, we had used a 9-item medication-taking sub-scale. Each item is a four-point likert type scale (none of the time, some of the time, most of the time, and all the time). The median split was used and dichotomies into adherent and non-adherent to the treatment. Single population proportion formula was used to calculate the required sample size by considering the following assumptions: Proportion of drug-related problem P = 0.3157, or 31.57% [14] , 95% confidence level, and 5% margin of error (absolute level of precision). Where; n = sample size P = Proportion of drug related problems (p) = 31.57% Z = Z is standardized normal distribution value at the 95% CI: 1.96 d = The margin of sample error tolerated = 5% The expected number of populations in the study period (N), based on the average number of patients coming to the hospital in 3 months was 355. The corrected sample size (nf), was calculated by using correction formula as follows: nf = (n*N) (n + N) nf = (332*355) (332 + 355) nf = 172. After adding a 10% contingency it becomes 189. A conscequative sampling technique was used to include study participants. A semi-structured data collection tool was prepared to collect the data. Two medical doctor and three clinical pharmacist pharmacists were recruited for data collection; one clinical pharmacist was assigned to supervise the data collection process. Different guidelines like Ethiopian STG and WHO guidelines, drug formulary were employed to identify the medication related problem. DRP registration format was used to identify and record different types of DRPs [15] . To assure the consistency of the data collection tool it was pretested at nearby hospital called Bedele general hospital prior to normal data collection. The data were entered into a computer using EPI-data version 3.1. The principal investigator has daily checked and cleaned the data before analysis. The data was then exported to the statistical software for social sciences (SPSS) 24.0 for analysis. Multivariate logistic regression was used to analyze the variable by using COR and AOR with 95% CI. All variables associated with the medication therapy problem at a P-value ≤0.25 on the bivariate analysis were entered into a multivariate logistic regression analysis to control for confounders. Finally, the predictors of drug therapy problem were declared if a P value of ≤0.05. Ethical approval was obtained from the Research Ethics Review Committee(RERC) of the Mettu University with reference number of MEU/CHS/RERC05/2012. Written informed consent was obtained from parents of the participants. The study protocol was performed accordance with the declaration of Helsinki. The study was registered resear chregistry.com with a unique reference number of "researchregistry7047". Drug-related problem: Includes ADR, non-adherence, inappropriate indication and dose, and ineffective drug therapy. ADR was assessed using Naranjo algorithm of ADR probability scale [16] . Accordingly, ADR Probability scale was categorized by taking sum the of 10 questions and grouped as. Poly-pharmacy: The daily consumption of 5 or more medications [17] . Co-morbidity: Patients diagnosed with two or more diseases [18] . Prolonged hospital stay: If the patients stay ≥ 7 days [19] . A total of 189 patients were included in the study, of which 115 (60.85%) were males and 74 (39.15%) were females. Most of them 73 (38.62%) were infant, whereas adolescent covered the least 20 (10.58%) from all age groups admitted during the study. The mean age of patients was 1.434 years, ranging from 1 day to 18 years. A total of 106(56.08%) were from rural area. Regarding to their clinical characteristics a total of 115 (60.85%) of them had a past medical history and 104 (55.03%) patients had past medication history. Most of patients 131 (69.31%) were immunized and 90(47.62%) have taken greater than five medication per diagnosis. The mean number of hospital stay was 4.29 days with minimum and maximum stay of 2 and 9 days respectively (Table 1) . Out of 189 patients 121(64.01%) had at least one drug therapy problem. During the study period a total of 267 medication related problems were identified. Therefore, the ratio of the no of medication related problems to patient was 1.41. Among seven types of drug therapy problems unnecessary drug therapy, need additional drug therapy, ineffective drug therapy and dose too high were the most predominantly encountered DRPs accounted 74 (27.72%), 67 (25.09%), 43 (16.10%), 36 (13.48%), respectively. Dose too low, Adverse drug reaction and noncompliance were the least DRP identified which accounts 25(9.36),12 Others. Anti-emetic, anti-anemic, H 2 antagonists. (4.49%,10(3.75%), respectively. Of the total cases diagnosed during the study period severe pneumonia, bronchial asthma and acute gastro enteritis were the leading case accounted 118 (31.5%), 62 (16.5%) 53(14%), respectively. Ceftriaxone and Paracetamol were the most frequently prescribed drug which is accounted 272 (30%), 112 (12.4%), respectively. The mean numbers of drugs prescribed were 4.79 per patient ranging from 2 to 9 for minimum and maximum respectively( Table 2) . In our study area, a total of 435 drugs were involved in different types of DRPs. Among these the classes of drugs mostly involved in DRP were antibiotics 212 (48.7%) followed by fluid and electrolytes 18 (18.7%) and antipyretics 69(15.8) ( Table 3) . Multivariable logistic regression result revealed that the predictors of medication related problems among pediatric patients were age (neonate), prolonged hospital stay, and presence of co-morbidity. The presence of medication related problems among neonates were 1.5 times more likely than infants (AOR = 1.48, 95CI%: 1.69-7.42, P = <0.001). Patients whose hospital stays greater than or equal to seven days were about 2 times more likely to have DRPs than patients whose hospital stay less than seven days (AOR = 1.98, 95CI%: 2.471-12.644, P = 0.016). Lastly, patients who had two or more disease were about 2.5 times more likely to have DRPs than patients who had less than two disease (AOR = 2.507, 95CI%: 3.270-4.949, P = 0.080) ( Table 4 ). The change in the pharmacokinetics and pharmacodynamics of the drugs in children can results in medication related problems in hospitalized patients [14] . The magnitude of medication related problems in the study was quite high that accounts 121(64.01%) which is higher than the study of Brazil 6.8% [20] . However, it was lower than the study of Jimma University Medical Center 74.3% [21] and Dessie Referral Hospital 87.7% [22] . The occurrence of the medication related problem was comparable with that of Vietnam 65.7% [9] . The difference in the prevalence of medication related problems might be due to variance in age classification of pediatrics, study setting and a variation in classification of medication related problems. Among different types of medication related problems unnecessary drug therapy 42 (34.7%) and need additional drug therapy 26 (21.5%) were the most commonly occur problems. This is consistent with southwestern Ethiopian hospitals [17, 19] . However, in Jimma University Medical Center, Hiwot Fana Specialized University Hospital, Saudi Arabia, and Zewditu Memorial Referral Hospital dosing error was commonly reported [6, 14, 23, 24] and in Brazil ineffectiveness was the widely occur medication related problem [3] . The difference in the prevalence of medication related problems among different studies might be due to difference in prevalence of medical conditions and the presence of organ dysfunction like kidney and liver that changes the pharmacokinetics of the drugs. Antibiotics was the most class of drug associated with drug related problems that accounts 212 (48.7%). This is consistent with India, University of Gondar Teaching Hospital, Zewditu Memorial Referral Hospital, and Dessie referral hospital, hong kong [14, [25] [26] [27] [28] . The mis-use of antibiotics in the pediatrics wards were commonly due to the patients were presented with infectious aetiology and given antibiotics by empirical therapy without considering the causative agents for their infections. The significant association was obtained between medication related problem and the patients age. The medication related problems was prevalent in neonate than other age groups. On the contrary, being a neonate was not a predictors of medication related problem in the study of Hiwot fana specialized university hospital [6] . Similar finding was obtained in Vietnam, Sauidi Arabia, and Brazil in which drug related problems was prevalent in younger age than child school age and childrens [9, 20, 24] . This may be because MRPs resulting from inappropriate indication or inadequate dosage form were more likely to occur in neonates than other age groups. Pediatric patients with increased length of hospital stay was more likely to be exposed with medication related problems. This was consistent with the study conducted in Wollega University Referral Hospita, southwestern Ethiopian hospitals and university of Gondar [17] [18] [19] 26] . This is due to the more the pediatric patients stay in hospital the more likely to be developed hospital acquaired infections which made the therapy complex than naïve patients. In our study the presence of two or more disease was the predictors of medication related problems. This is inline with the study of Zewuditu memorial referral hospital [14, 21, 23, 29] . On the contrary, patients with comorbidities were less likely to have DRPs than patients with no comorbiditiesin Vietnam [9] . Similarly, the presence of two or more disease was not a determinants of medication related problem in Hiwot fana specialized university hospital [6] . In our study area the more the patients presents with additional disease the more unnecessary drug and needs additional drug therapy problems were likely to occur. In our study, the rate of drug therapy problems was found to be high. This implies that the complexity of diseases management in this special populations. Therefore, further researcher should conduct the study on the impact of medication related problems on treatment outcome of the pediatric populations. As limitation the cause and effect relation ships was not identified and the impact of drug related problem on the patients treatment outcome was not assessed. The other weakness was a fear of COVID-19 among data collectors and supervisors since the study was conducted during this pandemic disease. The prevalence of medication-related problems in pediatrics patient was found to be high. Inappropriate indication and ineffective drug therapy were the widely occurred medication related problems. Among the different class of medication involved in medication related probles antibiotics were commonly reported. Being a neonate, prolonged hospital stay and the presence of multiple disease were a predictors of medication-related problems in pediatric patients. Therefore special attention should be given for newborns, prolonged hospital stay and patients having co-morbidity. Besides this, the drug information service and the patients round activity should be started by clinical pharmacist to minimize the occurences of any preventable medication related problems. We thanks Mettu university for providing the chance to conduct this study. Lastly, we acknowledge the hospital administrators, data collectors,and study participants for extending their help full hands towards our study. The following information is required for submission. Please note that failure to respond to these questions/statements will mean your submission will be returned. If you have nothing to declare in any of these categories then this should be stated. The authors declared that they have no competing interest. This work was funded by mettu University. The funding body did not have any role in study design, data collection, data analysis, interpretation of data or in writing the manuscript. Ethical clearance was obtained from the Institutional Review Board (IRB) of mettu University, college of health science. Not applicable. No individual person's personal details, images or videos are being used in this study. FB, GB and LT contribute in the preparation of proposal, methodology, and statistical analysis. BAG and DJ were participated in preparing the first draft of the manuscript and contributed to the methodology and editing of the manuscript. All authors checked and confirmed the final version of the manuscript. 1. Name of the registry: RESEARCH REGISTRY, https://www.researchr egistry.com 2. Unique Identifying number or registration ID: researchregistry7047 3. Hyperlink to the registration (must be publicly accessible):htt ps://www.researchregistry.com/register-now#home/registrat iondetails/5d70f2520791fb0011b79e9f/ Guarantor Firomsa Bekele. Not applicable. No individual person's personal details, images, or videos are being used in this study. None. The materials used while conducting this study are obtained from the corresponding author on reasonable request. No competing interests exist. Not commissioned, externally peer-reviewed. 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