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
3.7 Data Collection Techniques
To gather data, researchers must employ a number of instruments or methodologies that differ in complexity, interpretation, design, and administration. Each tool is made to capture a specific type of data (Pandey and Pandey, 2015). The most appropriate instrument or technique for acquiring quantitative data is a questionnaire (Walliman, 2017). Questionnaires area set of questions or inquiries that are used to collect information from study participants.
Questionnaire questions can be open-ended, closed-ended, or a combination of both (Frazer and Lawley, 2000; Ismail et al., 2018). The four means of distributing questionnaires are telephone questionnaires, online questionnaires, mail surveys, and physically presented questions.
A detailed questionnaire was designed based on the study's stated objectives to meet the research's aim and objectives. The questionnaire consisted of two parts. Part 1 is comprised of questions designed to elicit information from responders. Part 2 consisted of questions that will seek to gather data on identified existing cold chain practice in the Ghanaian healthcare sector, the challenges associated with the cold chain delivery system in the Ghanaian healthcare sector, and finally, the impacts cold chain delivery system has on healthcare service delivery. Some of the questionnaires were self-administered by hand delivery to identified respondents. Others were delivered online because of the proximity of the researcher to the respondents and convenience.
3.8 Data Processing And Analysis Techniques
Following the usage of questionnaires to collect data, a massive amount of information has to be presented. Data is information that researchers use to conclude the event they are studying
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(Walliman, 2017). The degree of measurement included in the data collecting instrument
(nominal, ordinal, interval, and ratio) and the number of cases studied to determine the kind of analysis appropriate for research (Walliman, 2017). The analysis for this study was done using the Statistical Package for the Social Sciences (SPSS). SPSS was used for data input as well. Mean score ranking, the one-sample t-test and regression analysis was employed to analyze the data received. Cronbach’s Alpha Coefficient test was also conducted to check the test scales' internal consistency. A scale is judged trustworthy by Tavakol and Dennick (if the Cronbach's alpha test yields a coefficient of 0.700 or above. The regression equation is presented below π‘‘π‘’π‘™π‘–π‘£π‘’π‘Ÿπ‘¦
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πΆπ‘œπ‘™π‘‘ 𝑠𝑒𝑝𝑝𝑙𝑦 π‘‘π‘’π‘™π‘–π‘£π‘’π‘Ÿπ‘¦
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+ Ξ΅
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…... (1)

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