# Factors Associated with Evidence-Based Decision-Making Among Specialized Nurses Working in Selected Health Facilities in Nairobi, Kenya

## TL;DR

Specialized nurses in Nairobi, Kenya, often rely on intuition rather than evidence-based decision-making, with individual skills and institutional support being key factors.

## Contribution

This study identifies individual and institutional factors influencing evidence-based decision-making among specialized nurses in Nairobi using mixed methods.

## Key findings

- Low utilization of evidence-based decision-making is significantly associated with reliance on intuition (p=.039).
- Individual factors like skills, incentives, and research literacy strongly correlate with evidence-based decision-making (p=.001).
- Qualitative insights reveal tacit knowledge and workload pressures as major influences on clinical decision-making.

## Abstract

Evidence-Based Decision-Making (EBDM) is central to quality nursing practice, yet many nurses continue to rely on intuition when making clinical decisions. In low-resource settings such as Kenya, limited access to information, knowledge-sharing barriers, and institutional constraints further hinder EBDM. Understanding the factors that influence EBDM among specialized nurses is vital for improving patient care and health system outcomes.

This study employed a concurrent nested mixed-methods design guided by the ACE Star Model. The quantitative arm utilized a cross-sectional census of 51 maternal and child health nurses from four public hospitals in Nairobi, while the qualitative arm involved two in-depth interviews with supervisors. Data were collected using a structured questionnaire and interview guide. Quantitative analysis was conducted using SPSS with logistic regression to identify factors associated with EBDM, while qualitative data were analyzed thematically.

The overall response rate was 100%. Most respondents (72.5% female) were diploma holders with a median age of 30 years. Findings revealed that the predominant reliance on intuition was significantly associated with low utilization of EBDM (p=.039). Individual factors, including skills, incentives, and research literacy, were strongly associated with EBDM utilization (p=.001). Married nurses and those with higher academic qualifications demonstrated marginally lower odds of low EBDM utilisation. Institutional factors and barriers such as limited internet access, staffing constraints, and time shortages were reported but not statistically significant. Qualitative insights highlighted reliance on tacit knowledge, bounded autonomy, and workload pressures as major influences on decision-making.

Specialized nurses in Nairobi largely rely on tacit knowledge and intuition, with individual capacities playing a critical role in shaping EBDM. Strengthening research skills, integrating EBDM training early into nursing curricula, and creating institutional support systems are essential for enhancing evidence use in clinical practice. Strategies for capturing and translating tacit knowledge into actionable evidence should be prioritized to improve patient outcomes. Further large-scale, multidisciplinary studies are recommended to validate these findings.