<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2023.113014</article-id><article-id pub-id-type="publisher-id">JBM-123904</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Information Needs and Self-Care Practices of Diabetic Patients in Mbala, Northern Province, Zambia
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chisha</surname><given-names>Jones Simuyemba</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Patricia</surname><given-names>Katowa-Mukwato Patricia</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kabwe</surname><given-names>Chitundu</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Michael</surname><given-names>Mumba Kanyanta</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Basic and Clinical Nursing Sciences, University of Zambia, Lusaka, Zambia</addr-line></aff><aff id="aff1"><addr-line>Facalty of General Nursing, Mbala College of Nursing and Midwifery, Mbala, Zambia</addr-line></aff><aff id="aff3"><addr-line>Department of Mental Health and Psychiatric Nursing, University of Zambia, Lusaka, Zambia</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>03</month><year>2023</year></pub-date><volume>11</volume><issue>03</issue><fpage>136</fpage><lpage>146</lpage><history><date date-type="received"><day>17,</day>	<month>January</month>	<year>2023</year></date><date date-type="rev-recd"><day>25,</day>	<month>March</month>	<year>2023</year>	</date><date date-type="accepted"><day>28,</day>	<month>March</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: Diabetes mellitus (DM) is a chronic disease that occurs either when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin it produces. It is “a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action or both” manifested by carbohydrates, fat and protein metabolism abnormality. If untreated high blood sugar can damage the nerves, eyes, kidneys, and other organs. The purpose of this study was to assess the information needs and self-care practice of Diabetic Patients in Mbala, Northern Province Zambia. 
  Methods: This was an analytical cross-sectional study where 105 respondents aged 18 years and above participated in the study. Participants were randomly selected. A structured interview schedule and a check list were used to collect data. Statistics Package for Social Sciences computer software package version 23.0 was used to analyze data. Chi square and fisher’s exact tests were used to test the significance of the association between Knowledge of Diabetes Mellitus, attitude towards self-care practices, self-care practices among Diabetic patients and the need for information among Diabetic patients. A 95% confidence interval and P value of 0.05 were used to ascertain the degree of significance. Multi-variate binary logistic regression model to determine predictors of self-care practices and need for information was also used. 
  Result: On analyzing the dependent variables, more than half (61.9%), had high need for information and three quarters (85.7%) of respondents had poor self-care practices. Slightly more than half (58.1%) had high knowledge levels majority (78.1%), had a negative attitude. Significant associations were found P &lt; 0.05 between knowledge levels and self-care practices (P-value 0.017), and between attitude and self-care practices (P-value 0.005). Information needs were also associated with knowledge (P-value 0.040) while attitude (P-value 0.198) showed no association with information needs of Diabetic patients. On multivariable logistic analysis patients with low knowledge levels were 0.080 times less likely to achieve good self-care practices (OR: 0.080, CI: 0.009 - 0.623, P &lt; 0.020) and those with a negative attitude were 0.174 less likely to achieve good self-care practices (OR: 0.174, CI: 0.049 - 0.584, P &lt; 0.006). Patients who had low knowledge levels were 2.263 times more likely to have a high need for information compared to those who had high knowledge levels, and this effect was significant (OR: 2.263, CI: 0.957 - 5.104, P &lt; 0.05). 
  Conclusion: Negative attitudes and lack of information among Diabetic patients were the main reasons associated with poor self-care practices. Particular attention should therefore be given to ensuring that Diabetic patients are given adequate information on Diabetes self-care in order to improve the quality of life.
 
</p></abstract><kwd-group><kwd>Information Needs</kwd><kwd> Self-Care Practices</kwd><kwd> Knowledge</kwd><kwd> Attitude</kwd><kwd> Diabetes Mellitus</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Diabetes is a chronic disease that occurs either when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin it produces [<xref ref-type="bibr" rid="scirp.123904-ref1">1</xref>]. It is “a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action or both” manifested by carbohydrates, fat, protein metabolism abnormality [<xref ref-type="bibr" rid="scirp.123904-ref2">2</xref>]. If untreated high blood sugar can damage the nerves, eyes, kidneys, and other organs [<xref ref-type="bibr" rid="scirp.123904-ref3">3</xref>]. The global diabetes prevalence in 2019 is estimated to be 9.3% (463 million people), rising to 10.2% (578 million) by 2030 and 10.9% (700 million) by 2045. According to the Lancet [<xref ref-type="bibr" rid="scirp.123904-ref4">4</xref>], the number of people with diabetes has risen from 108 million in 1980 to 422 million in 2014. Diabetes prevalence has been rising more rapidly in middle- and low-income countries. The prevalence is higher in urban (10.8%) than rural (7.2%) areas, and in high-income (10.4%) than low-income countries (4.0%). One in two (50.1%) people living with diabetes do not know that they have the disease. The global prevalence of impaired glucose tolerance is estimated to be 7.5% (374 million) in 2019 and is projected to reach 8.0% (454 million) by 2030 and 8.6% (548 million) by 2045 [<xref ref-type="bibr" rid="scirp.123904-ref5">5</xref>].</p><p>According to the Gebremariam, et al., 9th Edition, an estimated prevalence in Africa is 19.4 million adults aged 20 - 79 years living with diabetes in the IDF Africa Region in 2019, representing a regional prevalence of 3.9%. Africa is the region with the highest proportion of undiagnosed diabetes, with 60% of adults currently living with diabetes unaware of their condition [<xref ref-type="bibr" rid="scirp.123904-ref6">6</xref>]. The International Diabetes Federation (IDF) Africa Region (AFR) includes 49 diverse sub-Saharan countries and territories and currently represents 34 diabetes organizations in 29 countries.</p><p>The prevalence of Diabetes in Zambia is 4.1% in males, and 4.4% in females with a total of 4.2% of the total population of 16,212,000 [<xref ref-type="bibr" rid="scirp.123904-ref4">4</xref>]. Zambia is one of the 47 countries of the IDF African region. According to IDF African region, Zambia has a total adult population of 8,001,400 and the Prevalence of diabetes in adults is at 3.4%. The Total number of cases of diabetes in adults is 273,800 [<xref ref-type="bibr" rid="scirp.123904-ref5">5</xref>].</p><p>Due to the chronicity of the condition, a person with diabetes should cooperate in all phases of the control and treatment and should be able to do self-care activities. Self-care is crucial for the control of diabetes and includes self-monitoring of blood glucose, diet, setting insulin dosage, and doing regular physical activity [<xref ref-type="bibr" rid="scirp.123904-ref7">7</xref>]. As a chronic condition, Diabetes can be managed effectively however, if poorly managed it can lead to potential complications that include heart disease, stroke, kidney damage, and nerve damage [<xref ref-type="bibr" rid="scirp.123904-ref8">8</xref>]. Effective management required adequate information on part of the patients, and positive self-care practices</p><p>According to a study conducted by Saleh et al. [<xref ref-type="bibr" rid="scirp.123904-ref9">9</xref>], whose aim was to assess the effect of diabetes education on knowledge improvement and attitudes towards type 2 diabetes and related self-care activities in the patients, the study suggested that Diabetes-related self-care activities depend on the ability of patient to manage his/her daily life. Evidence shows that the individuals with diabetes often have inadequate knowledge of the nature, risk factors and associated complications. In fact, people with DM communicate a particularly high need for information, higher than people with cancer or cardiovascular diseases, for example. It can therefore be concluded that people with DM do not feel adequately informed about their condition or regarding medication use. Therefore, it was important that a study be conducted to determine the information needs on diabetes and self-care practices among diabetic patients in Mbala, Northern Zambia.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Design, Setting, and Participants</title><p>An analytical cross-section design was used to investigate an association between information needs, self-care practices and knowledge and attitude among Diabetic patients.</p><p>The study was conducted at Mbala General Hospital in Mbala as it is a third level Hospital that provides specialized health care in various disciplines including diabetes management in Mbala. The study population comprised all confirmed Diabetic patients male and female, and above was surveyed over a period of two months (from December 2021 to February 2022) at Mbala General Hospital. They were considered eligible if they had been on DM treatment for at least more than 6 months, had blood glucose test results and consented to participate. The study excluded patients who were very sick and could not stand the interview, mentally ill and Diabetic patients who were not residents of Mbala. The study was conducted from January 2021 to February 2022.</p></sec><sec id="s2_2"><title>2.2. Data Collection Procedure</title><p>Ethical clearance and permission were sought from the University of Zambia Biomedical Research Ethics Committee (UNZABREC REF. No. 1662-2021) and interviews were conducted over a period of 10 weeks. Participants were assured of anonymity and confidentiality by interviewing them in privacy individually after consenting to participate with their signature. The researcher administered a questionnaire in face-to-face interviews that lasted about 30 minutes.</p></sec><sec id="s2_3"><title>2.3. Instruments</title><p>A modified structured interview schedule was adopted from the Diabetes Self-Management Questionnaire (DSMQ) by Schmitt, et al., 2013 and Diabetes Management Self-efficacy Scale, by Messina et al., 2018 to assess the information needs and self-care practice of Diabetic Patients in Mbala, Northern Province, Zambia. The tools are widely used and well-validated for measuring Diabetic patients’ information needs and self-care practices. The instrument comprised of a series of questions that were closed-ended. The interview schedule contained questions under six sections; Section A: Demographic Characteristics (age, marital status, employment status, education level and income of the people within the population), Section B: Social-economic factors, Section C: knowledge on Diabetes Mellitus. Knowledge on Diabetes among DM patients was graded as high if the patient scored above 3 questions on Section C and was graded as low if the patient scored 3 and below on questions in Section C. Section D: Attitude towards Diabetes and self-care practice. Attitude towards Diabetes and self-care practice among DM patients was graded as positive if the patient scored above 3 questions on Section D and was graded as negative if the patient scored 3 and below on questions in Section D Section E: information needs to Diabetic Patients. Information needs to Diabetic patients were graded as high if the patient scored above 4 questions on Section E and was graded as low if the patient scored 4 and below on questions in Section E. Section F: self-care practices of Diabetic patients. Self-care practices of Diabetic patients were graded as good if the patient scored above 2 questions on Section F and was graded as poor if the patient scored 2 and below on questions in Section F.</p></sec><sec id="s2_4"><title>2.4. Data Analysis</title><p>Data were analyzed using the IBM&#174; Statistical Package for Social Sciences (SPSS&#174;) for Windows version 23.0. The Chi-square test was used to determine an association between predictor variables (demographic factors, knowledge of Diabetic patients on DM, Attitude of DM patients towards self-care practices) and the outcome variable (information needs of Diabetic patients and self-care practices among DM patients). For those categorical variables, a Fisher’s exact test was used. The Confidence Interval (CI) of (95%) was set and set level of significance at 5%. The binary logistic regression analysis was used to determine the true predictor of information needs and self-care practices.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The interview was conducted with 105 participants of whom more than half 57.1% of the participants were males. Slightly more than half 51.4%, of respondents were aged between 41 to 60 years. More than half 64.8%) were married as presented in <xref ref-type="table" rid="table1">Table 1</xref>. <xref ref-type="table" rid="table2">Table 2</xref> shows that majority 61 (58.1%) respondents had high knowledge levels, whereas <xref ref-type="table" rid="table2">Table 2</xref> shows that majority 82 (78.1%), had a negative attitude. <xref ref-type="table" rid="table2">Table 2</xref> shows that majority 65 (61.9%), had high need for information and majority 90 (85.7%), had poor self-care practices.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Demographic characteristics of the patients (n = 105)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percent</th></tr></thead><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >57.10%</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >42.90%</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;21 years</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7.60%</td></tr><tr><td align="center" valign="middle" >21 - 40 years</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >23.80%</td></tr><tr><td align="center" valign="middle" >41 - 60 years</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >51.40%</td></tr><tr><td align="center" valign="middle" >61 - 80 years</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10.50%</td></tr><tr><td align="center" valign="middle" >&gt;80 years</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.70%</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >64.80%</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.60%</td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >11.40%</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >15.20%</td></tr><tr><td align="center" valign="middle" >Residence</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >67.70%</td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >43.30%</td></tr><tr><td align="center" valign="middle" >Employment status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Formal employment</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >32.40%</td></tr><tr><td align="center" valign="middle" >Self-employed</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >35.20%</td></tr><tr><td align="center" valign="middle" >Not employed</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >30.50%</td></tr><tr><td align="center" valign="middle" >Retired</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.90%</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Overall knowledge levels on DM (n = 105)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percent</th></tr></thead><tr><td align="center" valign="middle" >High knowledge levels</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >58.10%</td></tr><tr><td align="center" valign="middle" >Low knowledge levels</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >41.90%</td></tr><tr><td align="center" valign="middle" >Overall attitude towards DM self-care practices (n = 105)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Positive attitude</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >21.90%</td></tr><tr><td align="center" valign="middle" >Negative attitude</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >78.10%</td></tr><tr><td align="center" valign="middle" >Overall information needs among DM patients (n = 105)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High need</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >61.90%</td></tr><tr><td align="center" valign="middle" >Low need</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >38.10%</td></tr><tr><td align="center" valign="middle" >Overall self-care practices (n = 105)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >41.30%</td></tr><tr><td align="center" valign="middle" >Poor</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >85.70%</td></tr></tbody></table></table-wrap><p><xref ref-type="table" rid="table3">Table 3</xref> shows that there was a statistically significant association between knowledge levels and self-care practices of Diabetic patients, between attitude and self-care practices of Diabetic patients and between information needs and knowledge levels of Diabetic patients. However, there was no statistically significant association between information needs and attitude of Diabetic patients.</p><p><xref ref-type="table" rid="table4">Table 4</xref> shows the binary logistic regression model was tested for multicollinearity, Hosmer and Lemeshow test of fitness for data, and omnibus test of model coefficients and classification accuracy. The dependent variable was self-care practice: Good (1) and Poor (0). The results of the binary logistic regression analysis showed that holding other variables constant, patients who had low knowledge levels were 0.080 times less likely to achieve good self-care practices compared to those who had high knowledge levels, and this effect was highly significant (OR: 0.080, CI: 0.009 - 0.623, P &lt; 0.020). Further analysis showed that patients who had a negative attitude were 0.174 less likely to achieve good self-care practices compared to those who had a positive attitude and this effect was highly significant (OR: 0.174, CI: 0.049 - 0.584, P &lt; 0.006).</p><p><xref ref-type="table" rid="table5">Table 5</xref> shows the binary logistic regression model was tested for multicollinearity, Hosmer and Lemeshow test of fitness for data, and omnibus test of model coefficients and classification accuracy. The dependent variable was information needs: Good (1) and Poor (0). The results of the binary logistic regression analysis showed that holding other variables constant, patients who had low knowledge levels were 2.263 times more likely to have a high need for information compared to those who had high knowledge levels, and this effect was significant (OR: 2.263, CI: 0.957 - 5.104, P &lt; 0.05).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> The relationship between self-care practices, information needs and other factors (n = 105)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Characteristics</th><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Self-care practices</th><th align="center" valign="middle"  rowspan="2"  >P Value</th></tr></thead><tr><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >Poor</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Knowledge</td><td align="center" valign="middle" >High knowledge levels</td><td align="center" valign="middle" >14 (23%)</td><td align="center" valign="middle" >47(77%)</td><td align="center" valign="middle"  rowspan="2"  >0.017</td></tr><tr><td align="center" valign="middle" >Low knowledge levels</td><td align="center" valign="middle" >1 (2.3%)</td><td align="center" valign="middle" >43(97.7%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Attitude</td><td align="center" valign="middle" >Positive attitude</td><td align="center" valign="middle" >8 (34.7%)</td><td align="center" valign="middle" >15 (65.2%)</td><td align="center" valign="middle"  rowspan="2"  >0.005</td></tr><tr><td align="center" valign="middle" >Negative attitude</td><td align="center" valign="middle" >7 (8.5%)</td><td align="center" valign="middle" >75 (91.5%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  ></td><td align="center" valign="middle"  rowspan="2"  ></td><td align="center" valign="middle"  colspan="2"  >Information needs</td><td align="center" valign="middle"  rowspan="2"  >P Value</td></tr><tr><td align="center" valign="middle" >High need</td><td align="center" valign="middle" >Low need</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Knowledge</td><td align="center" valign="middle" >High knowledge levels</td><td align="center" valign="middle" >33 (54.1%)</td><td align="center" valign="middle" >28 (45.9%)</td><td align="center" valign="middle"  rowspan="2"  >0.04</td></tr><tr><td align="center" valign="middle" >Low knowledge levels</td><td align="center" valign="middle" >32 (72.7%)</td><td align="center" valign="middle" >12 (27.9%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Attitude</td><td align="center" valign="middle" >Positive attitude</td><td align="center" valign="middle" >12 (52.2%)</td><td align="center" valign="middle" >11 (47.8%)</td><td align="center" valign="middle"  rowspan="2"  >0.198</td></tr><tr><td align="center" valign="middle" >Negative attitude</td><td align="center" valign="middle" >53 (64.6%)</td><td align="center" valign="middle" >29 (35.4%)</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Binary logistic regression analysis of self-care practices by knowledge and attitude</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Variables</th><th align="center" valign="middle"  rowspan="3"  >Indicators</th><th align="center" valign="middle"  rowspan="3"  >Odds ratio</th><th align="center" valign="middle" >Adjusted</th><th align="center" valign="middle" >Estimates</th><th align="center" valign="middle"  rowspan="3"  >P value</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >95% CI</td></tr><tr><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Knowledge</td><td align="center" valign="middle" >High knowledge levels</td><td align="center" valign="middle" >Ref</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="2"  >0.02</td></tr><tr><td align="center" valign="middle" >Low knowledge levels</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.009</td><td align="center" valign="middle" >0.623</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Attitude</td><td align="center" valign="middle" >Positive attitude</td><td align="center" valign="middle" >Ref</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="2"  >0.006</td></tr><tr><td align="center" valign="middle" >Negative attitude</td><td align="center" valign="middle" >0.174</td><td align="center" valign="middle" >0.049</td><td align="center" valign="middle" >0.584</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Binary logistic regression analysis of information needs by knowledge and attitude</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Variables</th><th align="center" valign="middle"  rowspan="3"  >Indicators</th><th align="center" valign="middle"  rowspan="3"  >Odds ratio</th><th align="center" valign="middle" >Adjusted</th><th align="center" valign="middle" >Estimates</th><th align="center" valign="middle"  rowspan="3"  >P value</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >95% CI</td></tr><tr><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Knowledge</td><td align="center" valign="middle" >High knowledge levels</td><td align="center" valign="middle" >Ref</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="2"  >0.05</td></tr><tr><td align="center" valign="middle" >Low knowledge levels</td><td align="center" valign="middle" >2.263</td><td align="center" valign="middle" >0.957</td><td align="center" valign="middle" >5.104</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion of Findings</title><p>Results revealed that majority 57.1%, were males while 42.9% were female. The results correspond with the study that was conducted by Takele [<xref ref-type="bibr" rid="scirp.123904-ref9">9</xref>] which showed that more than half of the respondents (55.8%) were males. These results are in line with a study conducted by Nordstr&#246;m, et al. [<xref ref-type="bibr" rid="scirp.123904-ref10">10</xref>], which revealed the prevalence of type 2 Diabetes is higher in males (14.6%) than in women (9.1%). Therefore, the results of these studies showed a higher number of males than in females. Consistence was also found with a study conducted by Alodhayani, et al. [<xref ref-type="bibr" rid="scirp.123904-ref11">11</xref>], whose results showed female patients having more self-care management practices than male patients (B: 0.20; 95% CI: 0.10 - 0.96 (P = 0.015)). therefore, it is highly likely that the high number of males compared to females could be associated with poor self-care practices among males thus, the higher number of male re-attendances and admissions to the hospital.</p><p>According to the study results, there was an association between knowledge and self-care practices among Diabetic patients. Therefore, in this study, respondents with high knowledge also had good self-care practice. These findings are similar to the findings of Saleh, et al. [<xref ref-type="bibr" rid="scirp.123904-ref12">12</xref>], whose study reviewed a significant relationship, existed between basic knowledge and glucose monitoring among newly diagnosed type 2 DM patients. Results also revealed an association between attitude of Diabetic patients and self-care practices among Diabetic patients. Therefore, majority of respondents who had a negative attitude also had poor self-care practices. These findings are similar to the findings of Kassa [<xref ref-type="bibr" rid="scirp.123904-ref13">13</xref>], whose studies revealed 26.8% of the respondents had good attitude towards diabetes mellitus self-care.</p><p>With regard to the dependent variable (information needs), a statistical significant association was found with knowledge. In this study, it was revealed that there was an association between knowledge on DM and the need for information among Diabetic patients. However, the sole respondent with high knowledge also demonstrated low need for information. Therefore, in this study, the majority of respondents with low knowledge had high need for information. Regarding attitude, there was no association with the need for information among Diabetic patients. Therefore, in this study, whether one had a positive or negative attitude, it did not influence the need for information.</p><p>On multivariable logistic analysis patients with low knowledge levels were 0.080 times less likely to achieve good self-care practices (OR: 0.080, CI: 0.009 - 0.623, P &lt; 0.020) and those with a negative attitude were 0.174 less likely to achieve good self-care practices (OR: 0.174, CI: 0.049 - 0.584, P &lt; 0.006). Patients who had low knowledge levels were 2.263 times less likely to achieve good self-care practices compared to those who had high knowledge levels, and this effect was highly significant (OR: 2.263, CI: 0.957 - 5.104, P &lt; 0.055).</p><p>These findings are similar to the findings of Saleh, et al. [<xref ref-type="bibr" rid="scirp.123904-ref12">12</xref>], whose study reviewed that total basic knowledge (TBK) and business profession were significant independent predictors of good practice. Similarly, in a study conducted by Watcharanat, et al. [<xref ref-type="bibr" rid="scirp.123904-ref14">14</xref>], results revealed that the knowledge about diabetes, attitude towards diabetes, and social support towards diabetes positively affected self-care behavior towards diabetes with the statistical significance of 0.05.</p><p>The binary logistic regression test was used to analyze the combined impact of dependent (self-care practices) (information needs) and independent variables (knowledge) and (attitude). All variables (dependent and independent variables) were coded. The results of the logistic regression analysis according to <xref ref-type="table" rid="table4">Table 4</xref> showed that holding other variables constant, patients with low knowledge levels were 0.080 times less likely to achieve good self-care practices, this effect was highly significant with the odds ratio of (OR: 0.080, CI: 0.009 - 0.623, P &lt; 0.020). Further analysis showed that patients with a negative attitude were 0.174 less likely to achieve good self-care practices, this effect was highly significant with the odds ratio of (OR: 0.174, CI: 0.049 - 0.584, P &lt; 0.006). These findings are similar to the findings of Saleh, et al. [<xref ref-type="bibr" rid="scirp.123904-ref12">12</xref>], whose study reviewed that total basic knowledge (TBK) and business profession were significant independent predictors of good practice. Similarly, in a study conducted by Watcharanat, et al. [<xref ref-type="bibr" rid="scirp.123904-ref14">14</xref>], results revealed that the knowledge about diabetes, attitude towards diabetes, and social support towards diabetes positively affected self-care behavior towards diabetes with the statistical significance of 0.05.</p><p>In another analysis to determine predictors of need for information using multivariate binary logistic regression model at 95% level of significance, it was discovered that knowledge predicted need for information of patients (<xref ref-type="table" rid="table5">Table 5</xref>). Thus, patients who had low knowledge levels odds ratio (2.263) were more likely to have a high need for information (<xref ref-type="table" rid="table5">Table 5</xref>).</p><p>With regard to the dependent variable (information needs) and independent variable (knowledge), results of the logistic regression analysis according to <xref ref-type="table" rid="table5">Table 5</xref> showed that holding other variables constant, patients who had low knowledge levels were 2.263 times more likely to have a high need for information, this effect was highly significant with the odds ratio of (OR: 2.263, CI: 0.957 - 5.104, P &lt; 0.05).</p></sec><sec id="s5"><title>5. Conclusion</title><p>The study identified two factors (negative attitude) and (lack of information) as being significant in influencing self-care practices among Diabetic patients. This implies that, in order to improve self-care practices, there is a need for promoting a positive attitude and provide adequate information on Diabetes self-care in order to improve the quality of life.</p></sec><sec id="s6"><title>6. Limitations of the Study</title><p>The study sample size (n = 105) was limited, thus generalization of results should be done with caution as it only represented views of patients who accessed medical services from Mbala general hospital. The sample size comprised patients from the rural and peri-urban settings hence the result may not be generalized for the rest of Zambia. The case may be different for patients in urban towns, as urban hospitals have availability of specialized health professionals to provide sufficient information on DM and self-care practices. The data collecting tool used comprised closed ended questions and this could have limited the respondents from giving more required information.</p></sec><sec id="s7"><title>Acknowledgements</title><p>Thanks to my fellow students for their guidance and support, without which, I would have not succeeded with this study. Also thanks to my family, for supporting me to undertake studies for Master of Science in Clinical Nursing at the School of Nursing Sciences.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflict of interest regarding the publication of this article.</p></sec><sec id="s9"><title>Cite this paper</title><p>Simuyemba, C.J., Patricia, P.K.-M., Chitundu, K. and Kanyanta, M.M. (2023) Diabetic Patients in Mbala, Northern Province, Zambia. 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