Assessing efficient cold chain management practices in the health sector and its impact on service delivery in ghana: a study of komfo anokye teaching hospital, kumasi docx



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ColdChain
CHAPTER FOUR
RESULTS AND DISCUSSIONS
4.1 Introduction
The methodology for the research study was addressed in the preceding chapter, which detailed the methods for identifying, selecting, processing, and analyzing the research data.
This chapter presents the analyzed data and the outcomes of the analysis and comments,
which are based on the study's research goals. This chapter is divided into two sections. The first section examined the respondents' backgrounds or profiles, analysed using descriptive statistics (frequencies. The second portion examined the study's goals using descriptive and
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inferential statistical analysis. Cronbach's Alpha Coefficient Test was used to determine the internal consistency and reliability of data from the chosen measuring scale before further analysis. The IBM Statistical Package for Social Sciences (SPSS) software version 25 was used to perform these analyses. A total of 100 questionnaires were sent to health professionals through an online survey using "Google Form" with 62 being collected and utilized for statistical analysis, suggesting a 62 percent response rate. Because the proper proportion of survey replies spans between 50% and 70%, the research authorized the 62 percent response rate for further examination (Mellahi and Harris, 2016).
4.2 Demography Of Respondents
This section aims to characterize the respondents' backgrounds based on the information received. The goal of displaying the respondents' background data findings is to improve knowledge of the participants' profiles while also increasing trust in the data's accuracy and dependability. The respondents' background information is essential, according to Ahadzie
(2007), to certify the data's reliability. The respondents' background information for this research included professional category, academic qualifications, years of experience,
gender, and knowledge with cold chain methods. The findings, notably the frequencies, were presented using descriptive statistical analysis, as shown in Table 4.1. This section seeks to describe the respondents' background based on the data gathered. The purpose of presenting the respondents background data results is to enhance understanding of the participants’
profiles and increase confidence in the data reliability and precision. According to Ahadzie
(2007), the respondents background information is required to authenticate the credibility of the data. For this study, the background information of the respondents was related to the following category of professionals, academic qualification, years of experience of
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professionals, gender and familiarity with cold chain practices. The results, summarized in
Table 4.1, were presented using descriptive statistical analysis, particularly frequencies.

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