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
Table 4.4: Cold Chain Challenges
Challenges
Test Value = 3.5
t
df
p-valu
e
Mean
Difference
95% Confidence
Interval of the
Difference
Mean
SD
Rank
Lower
Upper
Lack of modern technology or optimal equipment
4.11
.851
1
st
5.669 Inadequate financing
4.10
.863
2
nd
5.446 Lack of reliable transportation
4.02
.779
3
rd
5.219 Erratic electric power supply
4.00
.868
4
th
4.534 Transportation delays
3.98
.735
5
th
5.181 Poor supervision and monitoring of cold chain management
3.97
.868
6
th
4.244 Lack of information/consumption data
3.97
.789
7
th
4.670 Inadequate temperature control systems
3.95
.876
8
th
4.057 Inadequate storage facilities or cold chain capacity
3.95
.858
9
th
4.147 Shortage of service providers
3.94
.827
10
th
4.145 Absence of alternative power sources
3.92
.816
11
th
4.048 Lack of appropriate cold chain equipment
3.90
.824
12
th
3.853 Lack of a consolidated list of cold chain products
3.90
.670
13
th
4.736 Equipment failure
3.89
.770
14
th
3.956 Lack of trained personnel
3.87
.713
15
th
4.100 61
.000
.371
.19
.55
Non-uniformity in storage temperature instructions on labels
3.84
.751
16
th
3.552 61
.001
.339
.15
.53
Source: Field Survey (2021)
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4.6 Impacts of an Efficient Cold Chain Delivery System on Healthcare Service Delivery
The relationship between cold chain delivery and healthcare delivery is presented in this section.
4.6.1 Analysis of Variance
According to Table 4.5, the regression model strongly predicts the dependent variable. The "Sig." column reflects the statistical significance of the regression model, which is at and implies that the regression model predicts the outcome variable statistically.
Table 4.5 Analysis of variance
Sum of Squares df
Mean Square
Freq
Sig.
Regression
0.898 1
0.898 Residual 60 Total Source Field Survey 2022, **: 5% significance level.
4.6.2 Regression Results
The regression results are presented by Table 4.6. The table shows that the r-square is 6 percent. This information means that the independent variable is able to explain the dependent variables by 6 percent of the study.
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Table 4.6 Regression results
Coefficients
Std. Error
T-stat
Sig.
Constant
3.434 0.333 10.306 Cold chain delivery 0.087 1.964 0.05**
R-square
0.06
Source: Field Survey 2022, **: 5% significance level, ***: 1% significance level.
The study found a positive relationship between cold chain delivery and healthcare service delivery. This is because the significance level of cold chain delivery is 5 percent, implying that the relationship is significant. The relationship implies that an increase in cold chain delivery leads to an increase healthcare service delivery. The findings maybe explained by the fact that healthcare services depend on a consistent supply of drugs to care for patients,
and moving these commodities maybe a complicated logistical operation. Temperature is critical for the survival of many medications, including vaccinations and insulin, making cold vans a vital mode of distribution. Vaccines are critical in protecting Ghana's public health,
preventing a wide variety of infectious illnesses and creating large annual healthcare savings.
Each year, flu vaccinations are administered to a large number of immunocompromised persons and healthcare personnel in order to halt the spread of illness and its associated complications. In both circumstances, thousands of vaccinations must be delivered statewide quickly and under rigorous oversight. As a result, cold chain distribution becomes necessary to address the healthcare demands of those in need. Additionally, it improves the efficiency of healthcare systems by expediting the distribution of cold medications.
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Many of the pharmaceutical products require temperature-controlled storage and distribution to maintain their effectiveness. Hence cold chain delivery enables healthcare centres to achieve that feat by delivery non-defective medicines to patients. Dongjiu, Hao, Qingnian,
and Jiali, (2012) assert that cold chain delivery allows the temperature of medicines to be monitored. This feat means that hospitals distribute medicines that are safe to be administered. Also, it aids practitioners to be efficient by alerting them on the status of drugs before being administered to patients. Transporting the products through the cold chain ensures the maintenance of the quality of the products. Healthcare delivery is improved since cold chain supply ensures the potency of drugs are not reduced. This finding supports the study of Ogboghodo et al. (2017).
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