Conectar
by Richard Okyere Boadu, Godwin Adzakpah, Nathan Kumasenu Mensah, Kwame Adu Okyere Boadu, Jonathan Kissi, Christiana Dziyaba, Rosemary Bermaa Abrefa
BackgroundInformation and communication technology (ICT) has significantly advanced global healthcare, with electronic health (e-Health) applications improving health records and delivery. These innovations, including electronic health records, strengthen healthcare systems. The study investigates healthcare professionals’ perceptions of health information applications and their associated factors in the Cape Coast Metropolis of Ghana’s health facilities.
MethodsWe used a descriptive cross-sectional study design to collect data from 632 healthcare professionals (HCPs), in the three purposively selected health facilities in the Cape Coast municipality of Ghana, in July 2022. Shapiro-Wilk test was used to check the normality of dependent variables. Descriptive statistics were used to report means with corresponding standard deviations for continuous variables. Proportions were also reported for categorical variables. Bivariate regression analysis was conducted to determine the factors influencing the Benefits of Information Technology (BoIT); Barriers to Information Technology Use (BITU); and Motives of Information Technology Use (MoITU) in healthcare delivery. Stata SE version 15 was used for the analysis. A p-value of less than 0.05 served as the basis for considering a statistically significant accepting hypothesis.
ResultsHealthcare professionals (HCPs) generally perceived moderate benefits (Mean score (M) = 5.67) from information technology (IT) in healthcare. However, they slightly agreed that barriers like insufficient computers (M = 5.11), frequent system downtime (M = 5.09), low system performance (M = 5.04), and inadequate staff training (M = 4.88) hindered IT utilization. Respondents slightly agreed that training (M = 5.56), technical support (M = 5.46), and changes in work procedures (M = 5.10) motivated their IT use. Bivariate regression analysis revealed significant influences of education, working experience, healthcare profession, and IT training on attitudes towards IT utilization in healthcare delivery (BoIT, BITU, and MoITU). Additionally, the age of healthcare providers, education, and working experience significantly influenced BITU. Ultimately, age, education, working experience, healthcare profession, and IT training significantly influenced MoITU in healthcare delivery.
ConclusionsHealthcare professionals acknowledge moderate benefits of IT in healthcare but encounter barriers like inadequate resources and training. Motives for IT use include staff training and support. Bivariate regression analysis shows education, working experience, profession, and IT training significantly influence attitudes towards IT adoption. Targeted interventions and policies can enhance IT utilization in the Cape Coast Metropolis, Ghana.
by Hayward J. Godwin, Michael C. Hout
Visual search experiments typically involve participants searching simple displays with two potential response options: ‘present’ or ‘absent’. Here we examined search behavior and decision-making when participants were tasked with searching ambiguous displays whilst also being given a third response option: ‘I don’t know’. Participants searched for a simple target (the letter ‘o’) amongst other letters in the displays. We made the target difficult to detect by increasing the degree to which letters overlapped in the displays. The results showed that as overlap increased, participants were more likely to respond ‘I don’t know’, as expected. RT analyses demonstrated that ‘I don’t know’ responses occurred at a later time than ‘present’ responses (but before ‘absent’ responses) when the overlap was low. By contrast, when the overlap was high, ‘I don’t know’ responses occurred very rapidly. We discuss the implications of our findings for current models and theories in terms of what we refer to as ‘information stagnation’ during visual search.by Philomina Afful, Godwin Adjei Vechey, Peter Kipo Leta, Foster Bediako Gbafu, Fortress Yayra Aku
Multidrug-resistant Tuberculosis (MDR-TB) remains a global health concern. The disease results in a prolonged treatment and hence, poses a financial burden to affected individuals and their families. The Ghana National TB Control Programme (NTP) has made extensive efforts to control the menace, however, it remains a concern. This study, therefore, aimed to determine the predictors of multidrug-resistant TB in the Cape Coast Teaching Hospital of Ghana. An unmatched case-control study involving 37 cases and 111 controls was conducted using data of TB cases registered for treatment between January 2018 and December 2020 at the Cape Coast Teaching Hospital. Socio-demographic, individual level and social characteristics information were collected from respondents through telephone surveys, face-to-face interviews and review of records using a structured questionnaire built in the Kobo Collect Toolbox. The data was exported to Stata version 16.0 for analysis. Chi-square test and multiple logistic regression were used to determine the predictors of MDR-TB. Associations were considered statistically significant at a 95% confidence interval with a p-value of less than 0.05. The results revealed that the majority (25 [67.6%]) of MDR-TB cases and controls (76 [68.5%]) were aged 30 years and above with a median age of 36.5 (IQR: 28–50) years for all respondents, while 20 (54.1%) of MDR-TB cases and 33 (29.7%) of controls lived in households with one room residences for their families. The following predictors for MDR-TB were identified: BCG vaccination status (AOR = 0.17,95% CI:0.07–0.45), long distance to health facility (AOR = 4.11, 95% CI: 1.55–10.87), number of rooms in residence (AOR = 0.37,95% CI: 0.14–0.99) and first place of visit upon noticing TB symptom (AOR = 4.22,95% CI:1.31–13.64). Predictors of MDR-TB in the current study were multi-faceted. Measures to control MDR-TB should target socio-demographic, health-seeking behaviour and social-related concerns.
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