3 results on '"Aworabhi-Oki N"'
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2. Gamified antimicrobial decision support app (GADSA) changes antibiotics prescription behaviour in surgeons in Nigeria: a hospital-based pilot study.
- Author
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Luedtke S, Wood C, Olufemi O, Okonji P, Kpokiri EE, Musah A, Bammeke F, Mutiu B, Ojewola R, Bankole O, Ademuyiwa A, Ekumankama C, Theophilus A, Aworabhi-Oki N, Shallcross L, Molnar A, Wiseman S, Hayward A, Birjovanu G, Lefevre C, Petrou S, Ogunsola F, and Kostkova P
- Subjects
- Humans, Anti-Bacterial Agents therapeutic use, Pilot Projects, Nigeria, Guideline Adherence, Prescriptions, Hospitals, Mobile Applications, Anti-Infective Agents, Surgeons
- Abstract
Aims: Surgical Antibiotic Prophylaxis (SAP) in Nigeria is often not evidence based. The aim of this study is to test if the GADSA application can change prescription behaviour of surgeons in Nigeria. In addition, the study aims to identify AMS strategies and policies for the future., Methods: The GADSA gamified decision support app uses WHO and Sanford prescribing guidelines to deliver real-time persuasive technology feedback to surgeons through an interactive mentor. The app can advise on whether clinician's decisions align with SAP recommendations and provides the opportunity for clinicians to make adjustments. Twenty surgeons actively participated in a 6-month pilot study in three hospitals in Nigeria. The surgeons determined the risk of infection of a surgical procedure, and the need, type and duration of SAP. The study used a longitudinal approach to test whether the GADSA app significantly changed prescribing behaviour of participating surgeons by analysing the reported prescription decisions within the app., Results: 321 SAP prescriptions were recorded. Concerning the surgical risk decision, 12% of surgeons changed their decision to be in line with guidelines after app feedback (p < 0.001) and 10% of surgeons changed their decision about the need for SAP (p = 0.0035) to align with guidelines. The change in decision making for SAP use in terms of "type" and "duration" to align with guidelines was similar with 6% and 5% respectively (both p-values < 0.001)., Conclusion: This study suggests that the GADSA app, with its game based and feedback feature, could significantly change prescribing behaviour at the point of care in an African setting, which could help tackle the global challenge of antibiotic resistance., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
3. Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014-2018).
- Author
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Aworabhi-Oki N, Numbere T, Balogun MS, Usman A, Utulu R, Ebere N, Omubo W, Stow J, Abba S, and Olorukooba A
- Subjects
- Adolescent, Child, Child, Preschool, Delivery of Health Care statistics & numerical data, Female, Forecasting, Humans, Incidence, Infant, Male, Nigeria epidemiology, Prevalence, Quality Indicators, Health Care statistics & numerical data, Risk Factors, World Health Organization, Delivery of Health Care trends, Measles prevention & control, Measles Vaccine administration & dosage, Population Surveillance methods, Quality Indicators, Health Care trends, Vaccination statistics & numerical data, Vaccination trends
- Abstract
Background: Measles is a vaccine preventable, highly transmissible viral infection that affects mostly children under five years. It has been ear marked for elimination and Nigeria adopted the measles elimination strategies of the World Health Organization (WHO) African region to reduce cases and deaths. This study was done to determine trends in measles cases in Bayelsa state, to describe cases in terms of person and place, identify gaps in the case-based surveillance data collection system and identify risk factors for measles infection., Methods: We carried out a secondary data analysis of measles case-based surveillance data for the period of January 2014 to December 2018 obtained in Microsoft Excel from the State Ministry of Health. Cases were defined according to WHO standard case definitions. We calculated frequencies, proportions, estimated odds ratios (OR), 95% confidence intervals (CI) and multivariate analysis., Results: A total of 449 cases of measles were reported. There were 245(54.6%) males and the most affected age group was 1-4 years with 288(64.1%) cases. Of all cases, 289(9.35%) were confirmed and 70 (48.27%) had received at least one dose of measles vaccine. There was an all-year transmission with increased cases in the 4th quarter of the year. Yenegoa local government area had the highest number of cases. Timeliness of specimen reaching the laboratory and the proportion of specimens received at the laboratory with results sent to the national level timely were below WHO recommended 80% respectively. Predictors of measles infection were, age less than 5 years (AOR: 0.57, 95% CI: 0.36-0.91) and residing in an urban area (AOR: 1.55, 95% CI:1.02-2.34)., Conclusions: Measles infection occurred all-year round, with children less than 5 years being more affected. Measles case-based surveillance system showed high levels of case investigation with poor data quality and poor but improving indicators. Being less than 5 years was protective of measles while living in urban areas increased risk for infection. We recommended to the state government to prioritize immunization activities in the urban centers, start campaigns by the 4th quarter and continue to support measles surveillance activities and the federal government to strengthen regional laboratory capacities.
- Published
- 2020
- Full Text
- View/download PDF
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