Drug-Drug interaction among admitted patients at primary, district and referral hospitals’ medical wards in East Gojjam Zone, Amhara Regional State, Ethiopia
Abstract:Objectives: This study was aimed to assess the type, prevalence, characteristics of drug interaction and factors associated from admitted patients in medical wards at primary, district and referral hospitals in East Gojjam Zone, Amhara Regional State, Ethiopia. Methods: A facility-based retrospective cross-sectional study design was conducted among admitted patients in medical wards at different hospitals of East Gojjam Zone from September 2019 to February 2020. Patient-specific data were extracted from patien… Show more
“…The prevalence of PDDIs identified by three databases was 72.1%, which was in line with the studies conducted in Spain (71.8%)20 and China (72.9%),27 but higher than other studies conducted in the oncology setting in Iran at 62.88%,39 the Netherlands at 46%2 and the USA 40. Similarly, the prevalence rate of the present study is higher in comparison with studies from other specialties such as psychiatry (68.9%),41 internal medicine (43.7%)42 and paediatrics (45.8%) 43. Such widespread variability in prevalence may be attributed to differences in study design, inclusion and exclusion criteria, study population and their characteristics, study setting, presence or absence of clinical pharmacy services, prescribing pattern and drugs involved.…”
ObjectiveThe study was conducted to assess potential drug–drug interactions (PDDIs) and its determinants among patients with cancer receiving chemotherapy.Design and settingAn institutional-based cross-sectional study was used. This study was conducted from 1 June 2021 to 15 December 2021, in Northwest Ethiopia oncology centres.ParticipantsAll eligible patients with cancer received a combination of chemotherapy.OutcomesThe prevalence and severity of PDDIs were evaluated using three drug interaction databases. Characteristics of participants were presented, arranged and summarised using descriptive statistics. The predictors and outcome variables were examined using logistic regression. The cut-off point was a p value of 0.05.ResultsOf 422 patients included in the study, 304 patients were exposed to at least one PDDI with a prevalence of 72.1% (95 % CI: 68% to 76%) using three drug interaction databases. There were varied reports of the severity of PDDI among databases, but the test agreement using the kappa index was 0.57 (95% CI: 0.52 to 0.62, p=0.0001) which is interpreted as a moderate agreement among three databases. Patients aged ≥50 years old had the risk to be exposed to PDDI by odds of 3.1 times (adjusted OR (AOR)=3.1, 95% CI (1.8 to 5.3); p=0.001) as compared with patients <50 years old. Similarly, patients with polypharmacy and comorbidity were more likely to be exposed to PDDI than their counterparts (AOR=2.4, 95% CI (1.4 to 4.1); p=0.002 and AOR=1.9, 95% CI (1.1 to 3.4); p=0.02, respectively).ConclusionThe main finding of this study is the high prevalence of PDDI, signifying the need for strict patient monitoring for PDDIs among patients with cancer receiving chemotherapy. We suggest the use of at least three drug databases for quality screening. Patients with an age ≥50 years old, polypharmacy and comorbidity were significantly associated with PDDIs. The establishment of oncology clinical pharmacists and computerised reminder mechanisms for PDDIs through drug utilisation review is suggested.
“…The prevalence of PDDIs identified by three databases was 72.1%, which was in line with the studies conducted in Spain (71.8%)20 and China (72.9%),27 but higher than other studies conducted in the oncology setting in Iran at 62.88%,39 the Netherlands at 46%2 and the USA 40. Similarly, the prevalence rate of the present study is higher in comparison with studies from other specialties such as psychiatry (68.9%),41 internal medicine (43.7%)42 and paediatrics (45.8%) 43. Such widespread variability in prevalence may be attributed to differences in study design, inclusion and exclusion criteria, study population and their characteristics, study setting, presence or absence of clinical pharmacy services, prescribing pattern and drugs involved.…”
ObjectiveThe study was conducted to assess potential drug–drug interactions (PDDIs) and its determinants among patients with cancer receiving chemotherapy.Design and settingAn institutional-based cross-sectional study was used. This study was conducted from 1 June 2021 to 15 December 2021, in Northwest Ethiopia oncology centres.ParticipantsAll eligible patients with cancer received a combination of chemotherapy.OutcomesThe prevalence and severity of PDDIs were evaluated using three drug interaction databases. Characteristics of participants were presented, arranged and summarised using descriptive statistics. The predictors and outcome variables were examined using logistic regression. The cut-off point was a p value of 0.05.ResultsOf 422 patients included in the study, 304 patients were exposed to at least one PDDI with a prevalence of 72.1% (95 % CI: 68% to 76%) using three drug interaction databases. There were varied reports of the severity of PDDI among databases, but the test agreement using the kappa index was 0.57 (95% CI: 0.52 to 0.62, p=0.0001) which is interpreted as a moderate agreement among three databases. Patients aged ≥50 years old had the risk to be exposed to PDDI by odds of 3.1 times (adjusted OR (AOR)=3.1, 95% CI (1.8 to 5.3); p=0.001) as compared with patients <50 years old. Similarly, patients with polypharmacy and comorbidity were more likely to be exposed to PDDI than their counterparts (AOR=2.4, 95% CI (1.4 to 4.1); p=0.002 and AOR=1.9, 95% CI (1.1 to 3.4); p=0.02, respectively).ConclusionThe main finding of this study is the high prevalence of PDDI, signifying the need for strict patient monitoring for PDDIs among patients with cancer receiving chemotherapy. We suggest the use of at least three drug databases for quality screening. Patients with an age ≥50 years old, polypharmacy and comorbidity were significantly associated with PDDIs. The establishment of oncology clinical pharmacists and computerised reminder mechanisms for PDDIs through drug utilisation review is suggested.
“…The information provided on drug-drug interaction (DDIs) and drug-food interaction was significantly associated with customer dissatisfaction towards pharmacy services [AOR=2.175; 95% CI (2.6, 5.31)]. The prevalence of potential DDIs is relatively common in healthcare settings of developing countries 28 . Most DDIs are unnoticed by prescribers and they often produce a worsening of already existing symptoms 29 .…”
Background:
Patients have explicit desire for quality services when they visit health institutions. Patient satisfaction is a primary means of measuring the effectiveness of healthcare delivery. However, inadequate discovery of their needs may result in patient dissatisfaction. Patients who are satisfied with pharmaceutical care are likely to adherence, seeking for medical attentions and take medications properly. Providing better access to quality pharmacies is a way to improve patient satisfaction with healthcare services.
Study Objective:
The study was aimed to assess patient satisfaction with pharmacy services at XXX.
Methods and materials:
An institution-based cross-sectional study design was conducted at XXX from May 1, 2021 to October 30, 2021. Data was collected by interview with structured questionnaires. Then the data was coded, entered, and then analyzed by SPSS version 23. The association between predictors and outcome was measured using bivariate logistic regression.
Result:
In this study, 384 study participants were included. Majority of the participants were males (55.37%, N=227). The overall satisfaction score of the participants of this study was 65.37%. In our study, clients showed greater satisfaction towards pharmacists’ commitment to correct myths (92%), pharmacist availability (88.78), and cleanliness (87.8%). Multivariate analysis indicated physical restriction [AOR=6:95%; CI95% (2.98, 25.9)] and rural residence [AOR=2.43;95%CI (1.71,9.6)] had significant association with pharmacy service dissatisfaction. Among the quality pharmacy service indicators, counseling on how medications work [AOR=9; 95%CI (1.48,8.85)], keeping to dosage regimen [AOR=7.3; 95CI% 5.49,11.06)], and advice on the current medical condition had greater odds of client dissatisfaction.
Conclusion:
The findings of the current study showed that patients’ satisfaction towards outpatient pharmacy services provided by XXX is very low as it is indicated in their perception towards revealing written information about medication use, medication availability, medication storage, and instructions about medication side effects.
“…The information provided on drug-drug interaction (DDIs) and drug-food interaction was signi cantly associated with customer dissatisfaction towards pharmacy service [AOR = 2.175;95% CI (2.6, 5.31)]. The prevalence of potential drug-drug interactions is relatively common in health care settings of developing countries (27).MostDDIsareunnoticed by prescribers and they often produce a worsening of already existing symptoms (28). Provision of insu cient information about drug-drug interactions may lead to potentially harmful effects described in terms ofconsiderable morbidity and mortality (29).…”
Background:Patients have explicit desires for quality services when they visit health institutions. Patient satisfaction is a primary means of measuring the effectiveness of healthcare delivery. However, inadequate discovery of their needs may result in patient dissatisfaction. Patients who are satisfied with pharmaceutical care are likely to adherence, seeking for medical attentions and take medications properly. Providing better access to quality pharmacies is a way to improve patient satisfaction with healthcare services.
Study Objective:The study was aimed to assess patient satisfaction on pharmacy services at Felege Hiwot comprehensive specialized hospital.
Methods:An institution-based cross sectional study design was conducted at FelegeHiwot comprehensive specialized hospital from May 1, 2021 to October 30, 2021. Data was collected by interview with structured questionnaires. Then data was coded, entered and then analyzed by SPSS version 23. The association between predictors and outcome was measured using bivariate logistic regression.
Result:In this study 384 study participants were included. Majority of the participants were males (55.37%, N=227). The over-all satisfaction score of participants of this study was65.37%. In our study clients showed greater satisfaction towards pharmacists’ commitment to correct myths (92%), pharmacists availability (88.78) and cleanliness (87.8%). Multivariate analysis indicted physical restriction[AOR=6:95%; CI95%(2.98, 25.9)] and rural residence[AOR=2.43;95%CI(1.71,9.6)] had significant association with pharmacy service dissatisfaction. Among the quality pharmacy service indicators, counseling on how medications work [AOR=9; 95%CI(1.48,8.85)], keeping to dosage regimen [AOR=7.3; 95CI% 5.49,11.06)], and advice on the current medical condition had greater odds of client dissatisfaction.
Conclusion: The findings of the current study showed that patients’ satisfaction towards outpatient pharmacy services provided by FelegeHiwot comprehensive specialized hospital is very low as it is indicated in their perceptions towards revealed written information about medication use, medication availability, medication storage, and instruction about medication side effects.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.