{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T11:38:59Z","timestamp":1784547539387,"version":"3.55.0"},"reference-count":26,"publisher":"F1000 Research Ltd","license":[{"start":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T00:00:00Z","timestamp":1649203200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["f1000research.com"],"crossmark-restriction":false},"short-container-title":["F1000Res"],"abstract":"<ns3:p>\n                    <ns3:bold>Background:<\/ns3:bold>\n                    \u00a0Cancer is a highly debilitating non-communicable disease and an essential contributor to the global burden of disease. Pediatric patients are highly exposed to multiple drugs for the management of cancer. Monitoring drug utilization patterns helps to provide feedback to healthcare providers to ensure the rational use of medicines; as a result, it increases the therapeutic efficacy and decreases the frequency and severity of adverse drug reactions (ADRs). Therefore, this study assessed the utilization pattern and ADRs of chemotherapy in pediatric patients at Muhimbili National Hospital (MNH).\n                  <\/ns3:p>\n                  <ns3:p>\n                    <ns3:bold>Methods:\u00a0<\/ns3:bold>\n                    A descriptive cross-sectional study was conducted for three months from February to April 2021 in pediatric cancer patients undergoing chemotherapy at MNH. A total of 123 children diagnosed with cancer and on chemotherapy were enrolled in this study. Patients\u2019 socio-demographics, clinical information, chemotherapy status, prescribed medications, and prevalence of ADRs were collected. Descriptive statistics was used in data analysis, whereby frequency and proportions were used to summarize data.\u00a0\n                  <\/ns3:p>\n                  <ns3:p>\n                    <ns3:bold>Results:\u00a0<\/ns3:bold>\n                    Out of 123 patients, 62.6% were male. Most patients received an average of four anticancer drugs. Vincristine (55.3%) was the most used anticancer drug, followed by cytarabine (44.7%) and methotrexate (42.3%). The most used adjuvant drugs were ondansetron (30.9%), hydrocortisone (27.6%), and piperacillin\/tazobactam (23.6%). The percentage of drugs prescribed from the Tanzania Essential Medicine List (TEML) and World Health Organization (WHO) list was 66.4% and 93%. Most (87%) of the patients reported having experienced ADRs whereby nausea and vomiting (45.8%), hair loss (33.6%), and neutropenia (32.7%) were more prevalent ADRs reported.\n                  <\/ns3:p>\n                  <ns3:p>\n                    <ns3:bold>Conclusions:<\/ns3:bold>\n                    \u00a0\u00a0This study found the drug prescribing pattern to be in line with the essential medicine list, but the average number of drugs prescribed was higher than recommended. ADRs were prevalent among pediatric cancer patients.\n                  <\/ns3:p>","DOI":"10.12688\/f1000research.110079.1","type":"journal-article","created":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T06:25:13Z","timestamp":1649226313000},"page":"396","update-policy":"https:\/\/doi.org\/10.12688\/f1000research.crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Drug utilization pattern and adverse drug reactions of chemotherapy in pediatric patients at Muhimbili National Hospital, Tanzania"],"prefix":"10.12688","volume":"11","author":[{"given":"Josephine","family":"Efraim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3100-3066","authenticated-orcid":false,"given":"Castory","family":"Munisi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Auson","family":"Magige","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelvin","family":"Msuya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9864-5469","authenticated-orcid":false,"given":"Alphonce Ignace","family":"Marealle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5355-8353","authenticated-orcid":false,"given":"Manase","family":"Kilonzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamu","family":"Mlyuka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wigilya","family":"Mikomangwa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bertha","family":"Mallya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wema","family":"Aswile","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4833-8142","authenticated-orcid":false,"given":"Kauke Bakari","family":"Zimbwe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8963-4920","authenticated-orcid":false,"given":"Ritah Francis","family":"Mutagonda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2560","published-online":{"date-parts":[[2022,4,6]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"445-450","DOI":"10.4103\/IJPC.IJPC_82_17","article-title":"Quality of life among cancer patients.","volume":"23","author":"M Nayak","year":"2017","journal-title":"Indian J. 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