Data for Determinants of Immunization Coverage of PCV and Rota Virus Among Under Five Children in Busolwe Town Council, Butaleja District, Eastern Uganda
Description
The data presented is obtained from a study that was aimed at determining the factors associated with the immunization coverage of PCV and Rotavirus in Busolwe town council, Butaleja District in Eastern Uganda. The data was obtained in three major sections of demographic characteristics, knowledge, and attitude and perceptions of care takers of U5C on immunization. Both qualitative and quantitative types of data obtained from Primary and Secondary data sources are presented. The Primary sources included administration of questionnaires to the caretakers of U5C in communities surrounding different health centers in Butaleja district. Focus group discussions and In-depth interviews of key people such as Village Health Teams (VHTs) were also employed in generating the data. The secondary source of data was majorly the Health Management Information Systems (HMIS) records of Busolwe District Hospital and included the quarterly reports to statistically represent the immunization coverage in Butaleja district. The data includes the research questionnaires, in-depth interview guides, raw data from individual participants, the consolidated raw data from all the participants in form of microsoft coma separated values, and raw data from the secondary data sources on immunization coverage in the district.
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Area of study The study was carried out in Butaleja District which in Eastern Uganda. The district has a population of 244,153 according to the national population census 2014. The Busolwe General Hospital has a catchment population of 42298 people. Target population The study targeted the caregivers (primary care givers or parents) of under five children in homes in villages in the hospital’s catchment area. Parent(s) and/or caretaker to the under-five child (ren) who refused to give informed consent were excluded. Study design The study followed a cross sectional study design to study representative samples of a population. Mixed qualitative-quantitative methods were employed using the questionnaires to the caretakers and in-depth interviews of key informants in the community till saturation in data collection and more information was obtained from the Health Management Information Systems (HMIS) records. Sampling strategy The minimum sample size was determined using the Cochran’s formula N = (1.96)2 pq/d2 which gave 382 participants. In order to reduce errors, the sample population was enlarged from 382 participants to 434 participants. Data collection An interviewer administered questionnaire was used in conjunction with in-depth interviews to assess the perceptions and attitudes of the different correspondents towards the immunizable diseases as well as the factors associated with the immunization coverage in Butaleja district. A google form was created and used to administer the questionnaire with data sets directly filled to Excel worksheets. Secondary data was obtained from the Busolwe district HMIS records to determine the number of people who immunized fully. Research ethics and considerations The study and all the protocols from which the data was obtained were approved and cleared by the Busitema University Faculty of Health Sciences Higher Degrees and Research Committee (BUFHS-HDRC) as part of the Community Based Education, Research and Services (COBERS) Program for the 2018/2019 Academic year under the Course of Community Diagnosis and Communication Projects. Permission to conduct the study was sought from the District Health Officer Butaleja and the Medical Superintendent of Busolwe Hospital. The Chief Administrative Officer (CAO), community leaders and the members of the community consented to the research activities for the data collection; and in this all the participants signed a consent form which clearly stated their rights and the boundaries of the research. All the personal data was kept confidential and participant items under lock and key. Data analysis This can be accomplished by use of the compiled database to assess the concept variables, correlations, tendencies, among others. Excel and STATA can be majorly used in the data analysis. The analyzed data/information can be presented in form of statistical tables, charts, and generalized figures, with interpretive descriptions of the information.