RESUMO
BACKGROUND: This study aimed at validating the updated DeLone and McLean's information systems success model (D&MISS) in a developing country's infectious disease pandemic preparedness and response context. The findings from this study are relevant to inform policies and actions for enhancing developing countries' the Health Information System's (HIS) performance, and specifically to improve their future pandemic readiness and response. The study sought to respond to a key research question: to what extent can the D&MISS model provide evidence to enhance the HIS's infectious disease pandemic readiness and response in developing countries? METHOD: A cross-sectional study design that involved a multi-stage probability sampling approach to select eligible healthcare workers was applied. Conducted in Nigeria and Liberia, 576 primary healthcare workers, out of the proposed 600, participated, representing a response rate of 96%. The D&MISS model served as the theoretical underpinning for this study, and nine hypothesized relationships were stated before the study based on the interconnectedness of the model's six dimensions. Structural Equation Modelling (SEM) data analysis using the Partial Least Square approach was used to determine if hypothesized relationships were supported. RESULTS: 70% of the observed variance in the Net Benefit construct was explained by the predictive influence of the Use and User Satisfaction constructs. The Use construct had a slightly more substantial predictive influence than the User Satisfaction construct. Eight of the nine hypothesized relationships were supported, except for the relationship between Information Quality and Use. The relationships between System Quality and Use and User Satisfaction and Net Benefit had the highest beta coefficient, statistically significant at p < 0.05. CONCLUSION AND RELEVANCE: The D&MISS model demonstrated its relevance in providing evidence on the gaps of the HISs regarding future pandemic preparedness and response. However, from a future research opportunity, its enhancement and modifications with context-specific dimensions peculiar to developing countries will improve its ability to provide more context-specific evidence to improve pandemic preparedness and response for developing countries.
Assuntos
Países em Desenvolvimento , Pandemias , Humanos , Estudos Transversais , Nigéria/epidemiologia , Libéria/epidemiologia , Pessoal de Saúde/estatística & dados numéricos , Masculino , Sistemas de Informação em Saúde , Feminino , Adulto , Pessoa de Meia-Idade , COVID-19/epidemiologia , Doenças Transmissíveis/epidemiologiaRESUMO
[This corrects the article DOI: 10.2196/35014.].
RESUMO
The health information management (HIM) field's contribution to health care delivery is invaluable in a pandemic context where the need for accurate diagnoses will hasten responsive, evidence-based decision-making. The COVID-19 pandemic offers a unique opportunity to transform the practice of HIM and bring more awareness to the role that frontline workers play behind the scenes in safeguarding reliable, comprehensive, accurate, and timely health information. This transformation will support future research, utilization management, public health surveillance, and forecasting and enable key stakeholders to plan and ensure equitable health care resource allocation, especially for the most vulnerable populations. In this paper, we juxtapose critical health literacy, public policy, and HIM perspectives to understand the COVID-19 infodemic and new opportunities for HIM in infodemic management.