Assignment on SPSS use to examine Socio-demographic, Baseline and Treatment Factors
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Added on 2020-06-05
Assignment on SPSS use to examine Socio-demographic, Baseline and Treatment Factors
Added on 2020-06-05
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Socio-demographic, Baselineand Treatment FactorsAssociated with Decreased CD4Count in HIV Positive
Table of ContentsINTRODUCTION...........................................................................................................................1List of independent and dependent variables...............................................................................1Descriptive analysis of independent variables.............................................................................1Chi square test..............................................................................................................................6Bivariate correlation.....................................................................................................................9Multinomial logistic regression.................................................................................................13CONCLUSION..............................................................................................................................14REFERENCES..............................................................................................................................15
INTRODUCTION Data analysis is the process by which analyst uses different techniques and method toextract useful information from the raw data available. There are various data analyticstechniques which are used by the analysts such as quantitative and qualitative techniques. Now-a-days, researchers make use of statistical software for the quantitative data analysis purposesuch as Statistical Package for Social Science (SPSS). The aim of the current assignment is touse SPSS to examine socio-demographic, baseline and treatment factors that are associated withthe decreased CD4 count in patients who are HIV positive across 25 states in Nigeria. It will beexamined through applying various statistical methods like descriptive statistics, bivariateanalysis, chi-square test and multinomial logistic regression as well. List of independent and dependent variables Independent variablesAge GenderBase CD4 countBase weightBase WHO clinical stageGeographical Location (region of Nigeriea’s States)ART SwitchDependent variables Decreased CD4 count at the time of IHVN review Target populationPatients only on ART Descriptive analysis of independent variables Statisticsa1
AgeGroupsPatient'sGenderARTSwitchBase weightcategoryBase Cd4countCategoryGeographicalLocationNValid391239333943342337893943Missing311005201540Mean2.451.641.831.64Median2.002.002.001.00Mode2221Std. Deviation0.9920.4800.6430.779Range4122a. Patient on ART = YesFrom the results derived, it can be seen that under the age group, majority of the patientswith HIV positive in Nigeria on Art have an average age of 26-35 years. However, under thebase weight category, most of the patients reported a mean weight of 51-70 kg and mean baseCD 4 count of 201-350 cells/mm3. Out of the total population 5320, 3943 people were reportedalready on ART and rest of the population has been excluded from the analysis. On the otherside, standard deviation which measures dispersion or volatility between actually observed valueand their mean value is founded greatest for the age group to 0.992 showcase that candidate’sage significantly varies from each other (Brown and Behrmann, 2017). However, gender, base2
weight and base CD4 count reported comparatively a less standard deviation of 0.480, 0.643 and0.779 respectively. Geographical LocationaFrequencyPercentValid PercentCumulativePercentValidNorth Central115429.329.329.3North East45011.411.440.7North West74218.818.859.5South East2937.47.466.9South South77319.619.686.5South West53113.513.5100.0Total3943100.0100.0a. Patient on ART = YesTaking into consideration the findings, it can be seen that out of 3943 HIV patients inNigeria on Art, majority of the patients were founded from North Central Region as the resultsreported total patients of 1154 from these region accounted for 29.3%. However, lowest patienthas been determined from South East region to 293 accounted for 7.4% only. 3
Age GroupsaFrequencyPercentValid PercentCumulativePercentValid25 and younger58914.915.115.126-35167642.542.857.936-45107127.227.485.346-5543911.111.296.556 and older1373.53.5100.0Total391299.2100.0MissingSystem31.8Total3943100.0a. Patient on ART = Yes4
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