Assessment of Financing Mechanisms Influencing the Acquisition of Diagnostic Imaging Equipment in Hospitals in Murang'a County, Kenya
Authors/Creators
- 1. Researcher, Kenya Methodist University
- 2. Lecturer, Kenya Methodist University, Nairobi, Kenya
Description
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Purpose: This study assessed the financing mechanisms influencing the acquisition of diagnostic imaging equipment in hospitals in Murang’a County, Kenya, with a view to identifying sustainable funding strategies to enhance access to essential diagnostic services and improve healthcare outcomes. Methodology: A descriptive research design was employed targeting hospital administrators and county health officials involved in financial planning and equipment procurement. Data were collected using structured questionnaires from 75 respondents, with 50 valid responses obtained (67% response rate). Key informant interviews were conducted with 8 out of the 10 targeted officials (80% response rate). Quantitative data were analyzed using descriptive statistics and regression analysis, while qualitative data were analyzed thematically. Findings: The results showed that 72% of respondents reported that inadequate funding significantly constrained the acquisition of diagnostic imaging equipment. Government funding was identified as the most preferred financing mechanism, followed by donor funding, community resource mobilization, and public–private partnerships. Regression analysis indicated that financing mechanisms had a significant positive influence on equipment acquisition (β = 0.324, p < 0.001), underscoring the importance of diversified and reliable funding sources. Unique Contribution to Theory, Practice and Policy: The study contributes to health financing theory by demonstrating the role of blended financing models in strengthening medical technology investment at the county level. Practically, it provides evidence to guide hospital managers in prioritizing sustainable financing options. From a policy perspective, it supports increased government budgetary allocation and the development of structured public–private partnership frameworks to enhance diagnostic capacity. |
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