Data for nutritional knowledge and practice among patients with non-communicable diseases attending Mbale Regional Referral Hospital in Eastern Uganda
Description
This dataset is obtained from a study that aimed at assessing nutrition knowledge and practices among NCD patients attending Mbale Regional Referral hospital. From the data presented, most respondents were female (n= 157, 60.4%) and majority (n=138, 53.1%) were in the age group of 35-59 years. The mean age was 55 years (SD= 14) and a range of 19 to 90. Most respondents (n=156, 60%) had a high level of nutrition knowledge, however only 48.8% (n=127) were utilizing the knowledge. Hospital was the main source of nutrition information (n=243, 23. 1%). Patients who had attained secondary level of education were 2.308 more likely to utilize the nutrition knowledge than those who had never studied p value of 0.028, 95CI (1.093-4.874). Those with tertiary education were even 9.261 times more likely to utilize the knowledge. Those with adequate knowledge were about 1.6 times most likely to utilize the nutrition knowledge compared to those with inadequate knowledge level, though the results were not statistically significant, p value 0.098. The data can be used to show the association between nutritional knowledge, level of education, utilization of the knowledge among patients with NCDs. It can also be very vital in policy formulation. From the current dataset, NCD patients had adequate knowledge, with a few of them utilizing the knowledge and high education level was associated with better nutrition practices.
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Steps to reproduce
A mixed methods cross sectional study of the participants was conducted in Mbale Regional Referral Hospital among patients attending the NCD clinic from May to July 2017. Quantitative data can be collected through structured administered questionnaires and qualitative data can be collected through key informant interviews with a well-designed interview guide. After collection, data can be entered into the computer using Epi Data software Version 3.1 from where it can be exported to STATA Version 14 for analysis. Before analysis data can be coded, value labels defined, edited and data manipulations done. For example age can be transformed from continuous to categorical. Data security can be ensured by having passwords on personal computers to ensure that no person accesses the data without permission. The questionnaires after data entry can be arranged and kept in a safe place and data can be stored on different hard discs. Univariate analysis can be used to summarize socio economic and demographic characteristics and be presented in tables. For the continuous variable, the mean, standard deviation, frequencies and percentages can be used. Quantitative data can be analysed at univariate, bivariate and multivariate levels. Chi square test and logistic regression can be used to determine the association between nutrition knowledge and utilization. Qualitative data should be coded first and then summarized according to the themes. The study needs to be approved by an Institutional Review Board. In the current report, the data was obtained after approval by the the Busitema University Faculty of Health Sciences Higher Degrees and Research Committee as well as the Mbale Regional Referral Hospital Research and Ethics Committee (Ref No. MRRH-REC-IN-COM 078/217). Written consent was obtained from patients’ study participants. Confidentiality of the information was assured and privacy of each respondent was maintained throughout the data collection process. Confidentiality of the information was assured and privacy of each respondent was maintained throughout data collection. Codes were used on the questionnaires instead of names and the filled questionnaires were kept under lock and key.
Institutions
- Mbale Regional Referral Hospital
- Busitema University