Front. Public HealthFrontiers in Public HealthFront. Public Health2296-2565Frontiers Media S.A.10.3389/fpubh.2021.812586Public HealthOriginal ResearchIs the Duration of Diabetes Diseases Positively Associated With Knowledge About Diabetic Complications? Knowledge of Diabetes Mellitus Complications and Associated Factors Among Type-2 Diabetic Patients in Public Hospitals of Addis Ababa, 2020ChekolGetachew Zewdu1MengistuDaniel2TadesseAddisu Waleligne3*1Public of Health Emergency Management, Aletawondo Woreda Health Office, Aleta Wondo, Ethiopia2School of Nursing and Midwifery, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia3Department of Public Health, College of Health Science, Salale University, Fiche, Ethiopia
Edited by: Alok Raghav, Ganesh Shankar Vidyarthi Memorial Medical College, India
Reviewed by: Ashish Manocha, Poornima University, India; Hamid Ashraf, Aligarh Muslim University, India; Poonam Khanna, Post Graduate Institute of Medical Education and Research (PGIMER), India
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Background
Although the importance of educational programs in the prevention and control of diabetes mellitus (DM) and its complication is well-recognized, there are concerns about whether these programs are achieving the desired goal of increasing knowledge of DM and its complication in developing countries. Therefore, this study assessed knowledge of DM complications and associated factors among type-2 diabetic patients in public hospitals of Addis Ababa.
Method
Simple random sampling technique was used to select 422 participants. Data were entered to EpiData Version 4.6.0.1 and analyzed using SPSS Version 25 software. Multicollinearity and model goodness-of-fit was checked. A multivariate logistic regression model at 95% CI was used to identify the predictors.
Result
The overall knowledge of diabetes complications among diabetic patients in the Hospitals of Addis Ababa was 54.9%. In the fitted model, being a profession of governmental workers [adjusted odds ratio (AOR) = 3.12, 95% CI (1.33, 7.34)] and merchants [AOR = 2.54, 95% CI (1.16, 5.56)]; DM duration 5–10 years [AOR = 0.41, 95% CI (0.23, 0.73)] and ≥10 years [AOR = 0.36, 95% CI (0.19, 0.69)]; family history of DM [AOR = 1.68, 95% CI (1.03, 2.75)]; and participating in diabetic counseling [AOR = 2.41, 95% CI (1.50, 3.86)] were significantly associated with knowledge about DM complications.
Conclusion and Recommendation
The overall knowledge of diabetes complications among diabetic patients in the Hospitals of Addis Ababa was 54.9%. It was determined by the duration of DM, current profession, family history, and participation in diabetes counseling. Hence, emphasis on sustaining knowledge about diabetes complications for patients who are more than 5 years since diagnosis and attention is needed about knowledge diabetic farmers.
Diabetes mellitus (DM) is a metabolic disorder of multiple etiologies characterized by chronic hyperglycemia with disturbances of carbohydrate, protein, and fat metabolism resulting from defects in insulin secretion, action, or both (1–3). Among all diabetes cases, about 90–95% are type-2 and the remaining 5% are type-1 in which the cause is mostly idiopathic (3). Increased blood glucose is a usual manifestation of uncontrolled diabetes, through time it leads to serious damage to different organs and systems. For instance, the cardiovascular, excretory, sensory system, and among organs heart, blood vessels, eyes, kidneys, and nerves are affected by DM (4).
Diabetes mellitus is one of the fastest-growing and the most common chronic endocrine and metabolic disorders that affects millions of people, and it attributes to 8% of all-cause mortality in the world (5). Due to the severity of its complications, it comprises an important public health problem (1, 6). The highest proportion (73.1%) of death due to DM is recorded in Africa, though the region is the lowest both in prevalence and incidence of DM.
At present, many of the health systems in sub-Saharan Africa struggle to cope with infectious diseases. Meeting the goals of the UN high-level meeting on non-communicable diseases (to reduce premature mortality from None Communicable diseases (NCDs) by 25% by 2025) and Sustainable Development Goals (to reduce premature mortality from NCDs by a third by 2030) requires a coordinated approach within countries, which starts with a firm consideration of disease burden, needs, and priorities (7).
With the growing prevalence and increasing costs of treatments, diabetes is set to add further pressure on healthcare systems worldwide, particularly among countries at the forefront of economic development (8). Premature death and disability due to diabetes are associated with a negative economic impact on countries, often called the “indirect costs” of diabetes. These will have a devastating impact on the quality of life and the economic status of both individuals and the society they live in (3). The annual direct medical expense per patient varied among different types of complications and increased dramatically with the number of diabetic complications and patients were exposed to great financial risk (9). In 2015, the overall cost of diabetes in sub-Saharan Africa was US$ 19.45 billion or 1.2% of cumulative gross domestic product (GDP); around 55.6% of this cost arose from direct costs. The total cost is estimated to increase between $35.33 billion (1.1% of GDP) and $59.32 billion (1.8% of GDP) by 2030 (7).
This silent, but impending, public health problem would bring down challenges on the healthcare system and on the economy of most developing countries in the near future. This is because a significant proportion of individuals who suffer from the condition in these countries are within the reproductive age (5, 7). Rapid demographic, sociocultural, and economic transitions are driving increases in the risk and prevalence of diabetes in sub-Saharan Africa. The health systems have inadequacies at all levels to provide adequate management for diabetes and its associated risk factors and sequelae. There is a paucity in the availability of simple equipment for diagnosis and monitoring, a lack of sufficiently knowledgeable healthcare providers, insufficient availability of treatments, a dearth of locally appropriate guidelines, and few disease registries (7).
Low level of knowledge and/or awareness toward DM and its complication attributed to high prevalence and incidence of lower limb amputation, diabetic renal diseases, diabetic eye diseases, and acute complications of DM (10). It also leads to a social and long-term economic impact on individuals and society (3). Being literate, better income status, and having a family history of DM are identified as predictors for good awareness of DM complications of diabetes patients in a previous study (11, 12).
Even though service delivery for DM diagnosis and management is escalated, the burden of complications due to diabetes is increasing from time to time in Ethiopia (10, 13, 14). Due to the social burden and subsequently the economic implication as a result of the DM complications, a high level of awareness is needed among diabetic patients about these debilitating complications. Although the importance of educational programs in the prevention and control of DM and its complication are well-recognized, there are concerns about whether these programs are achieving the desired goal of increasing awareness of DM and its complication in developing countries.
Since there are no specialized centers for the management of DM and its complication in Sub-Saharan Africa (SSA) settings, patient education, and awareness creation become a central component in the prevention and control of this disease in SSA (15, 16). Although the importance of educational programs in the prevention and control of DM and its complication is well-recognized, there are concerns about whether these programs are achieving the desired goal of increasing knowledge of DM and its complication in developing countries. Therefore, the purpose of this study was to determine the level of knowledge about DM complications and identify factors associated with knowledge among patients with type-2 DM in the public hospitals of Addis Ababa.
The findings of this study, in general, will inform the health managers at each level and Healthcare worker (HCWs) about the level of knowledge of diabetic patients about DM complications. The findings will help the hospital managers and concerned stakeholders to redirect their action toward knowledge creation about DM complications. The finding of this study will be used as a reference for future researches.
Methods and MaterialsStudy Area and Study Period
This study was conducted from October 10 to November 10, 2020 in the public hospitals of Addis Ababa, Ethiopia. Addis Ababa is the capital city of Ethiopia with an area of 540 square km. The total population of the city is about 3.3 million with 5,046 people per kilometer. The Administrative region has structured with 10 sub-cities and 106 districts. According to Ethiopian Public Health Institute (EPHI), there are 13 home-to-home treatment services, 1,047 different private clinics, 104 health centers, 4 primary hospitals, 24 general hospitals, and 24 specialized hospitals and treatment centers [Source: Ethiopian Public Health Institute (EPHI), 2020].
Study Design
An institution-based cross-sectional study design was used to conduct the study.
Study Population
All patients with type-2 DM at Public Hospitals of Addis Ababa were the source population. All type-2 diabetic patients who came to the selected diabetic clinics during the data collection period were the study populations.
Inclusion Criteria and Exclusion Criteria
All type-2 diabetic patients who were on medication for more than 1 year and who were ≥18 years old were included.
All patients with type-2 DM who were seriously ill and health professionals were excluded.
Sample Size and Sampling ProceduresSample Size
The sample size was determined as follows based on a single population proportion formula with a 95% level of confidence, a 5% marginal error, and p = 48.5% (proportion of knowledge about DM complication) from the previous study (11).
Sample size = n = zα22d2 p(1-p)
= (1.9620.052) (0.485) (1 – 0.485)
= 384; considering 10% non-response rate, the final sample size by using a single population proportion formula is 422.
The sample size for factors was determined by using EPI INFO Version 7 Stat Calc by considering income, sex, and level of education (11) (Table 1). Hence, the sample size obtained by the proportion was higher than the sample size obtained by factors, the sample size for this study was 422.
Calculated sample size for factors using two populations proportions by Open Epi version 7.
Assumptions
Variables
Income
Level of education
Sex
• Two-sided CL = 95% • Power = 80% • Ratio of Unexposed to Exposed = 1 • % of unexposed with outcome = 31.6% • OR = 3.22
• Two-sided CL = 95% • Power = 80% • Ratio of Unexposed to Exposed = 1 • % of unexposed with outcome = 45.5% • OR = 3.793
• Two-sided CL = 95% • Power = 80% • Ratio of Unexposed to Exposed = 1 • % of unexposed with outcome = 36.4% • OR = 4.67
Calculated n
110
92
68
Final n (10% contingency)
121
101
75
Sampling Procedures
Proportional numbers of study participants were allocated to each hospital according to the number of diabetic patients on the follow-up in the last 3 months. Individual participants who fulfilled the inclusion criteria were selected by simple random sampling from each hospital. The sampling fraction used to allocate the sample size to each hospital was 0.14 (422/3,033) (Figure 1).
Schematic representation of the sampling procedure, 2020.
Variables of the Study
The dependent variable was knowledge of DM complications. Independent variables were socio-demographic variables (age, sex, marital status, occupation, residence, income, family history of DM, and level of education), duration since diagnosis as diabetic, participation in diabetes counseling, source of information about DM complication, and existence of diabetic education program.
Operational Definitions
Diabetes mellitus complications: Presence of one or more of the following diabetes complications: retinopathy, diabetic foot, renal complication, stroke, heart complication, neuropathy, hypertension, tooth decay, and sexual dysfunction (11).
Rural residence: Settling in the countryside outside of big cities or towns in Ethiopia is referred to as rural residents (11).
Family history of DM: Having at least one first-degree relative with diabetes (11).
Good knowledge: Knowledge score equal to or above the mean.
Data Collection Procedures (Instrument, Personnel)
A pre-tested structured interviewer-administered questionnaire, which is adapted from different literature, was used to collect the data (10, 11, 17, 18). The questioner contains 32 diabetes complication-related knowledge items. The possible correct answers for assessing knowledge of diabetes complications were 32. Three diploma nurses and one supervisor were recruited as data collectors, and they were given 1-day training. Data collectors had visited all three hospitals and explained the aim of the research to the facility managers and study participants.
Data Quality Control Analysis
The questionnaires were prepared first in English, then translated to the Amharic language, and then again back-translated to English. The pre-test was done on 5% of the sample at Tirunesh Beijing Hospital and modification of some questions was made before the main data collection. Data were checked daily for completeness and consistency. Data were coded manually, and to assure the quality of data during data entry, 10% of the data were re-entered into EpiData Version 4.6.0.0. Then data cleaning was performed by SPSS Version 21 software to check and correct inconsistencies and missing values. For this purpose, frequency and cross-tabs were utilized.
Univariate analyses such as measures of central tendency and measures of dispersion for continuous variables were computed. Frequency distribution was done for categorical data. Binary logistic regression analysis was done to each independent variable with outcome variable to select candidate variables with p < 0.25. Multicollinearity was checked by using variance inflation factor (VIF) at 10%. Then entered into multivariable analysis to identify factors associated with the outcome variable and control for confounders. Model fitness will be checked by the Hosmer and Lemeshow goodness of test. Backward stepwise logistic regression will be used to determine factors associated with p < 0.05 with their respective adjusted odds ratio (AOR) and 95% CI. Finally, reports were presented by the text, figures, and tables.
Ethical Consideration
The study was approved by the Institutional Research Ethics Review Committee of Kea-med Medical College, which was written on October 2020 with ref. no of KMC/IRB/014/12. A formal letter was written to Addis Ababa Health Office and then a supporting letter was written to hospital administers. Written consent was taken as informed consent from each study participant.
ResultsSocio-Demographic Characteristics of the Participants
A total of 377 participants were included in the study. The response rate was 89.3%. The remaining 10.7% of the participants were refused to participate. The majority (82.5%) of the participants were urban residence. The mean age was 51.9 years (SD ± 16 years). The age group ≥46 years covered the highest percentage (62.3%). More than half of (57.8%) participants were married (Table 2).
Socio-demographic characteristics of study participants in public hospitals of Addis Ababa, Ethiopia, 2020 (n = 377).
Characteristics
Frequency
Percentage
Age
18–30
8
2.1
31–45
134
35.5
≥46
235
62.3
Sex
Male
167
44.3
Female
210
55.7
Marital-status
Single
28
7.4
Married
218
57.8
Divorced
77
20.4
Widowed
54
14.3
Educational level
Cannot write and read
50
13.3
Primary
102
27.0
Secondary and above
225
59.7
Current profession
Farmer
40
10.6
Government worker
92
24.4
Merchant
123
32.6
House wife
109
28.9
NGO
13
3.4
Residence
Rural
66
17.5
Urban
311
82.5
Duration of DM
0–4
111
29.4
5–10
157
41.6
>10
109
28.9
Family history
Yes
242
64.2
No
135
35.8
Income
<500
13
3.4
500–1,500
88
23.3
1,501–2,500
72
19.1
>2,500
204
54.1
Sources of information
TV/radio
337
89.4
Health worker
40
10.6
Participation in diabetic counseling
Yes
207
54.9
No
170
45.1
Diabetic education
Yes
4
1.1
No
373
98.9
Knowledge Status on Diabetic Complication of Patients With Type-2 DM
The study showed that the overall knowledge of DM complications among diabetic patients was 59.9% [95% CI (50.1, 60.7)]. A total of 207 (59.9%) diabetic patients had a knowledge score of the mean (22.2) and above (Figure 2).
Knowledge on diabetes mellitus complications among Type-2 diabetic patients in public hospitals of Addis Ababa, 2020.
Among the diabetic patients who participated in this study, only 64 (17%) of them knew that stroke could be one of the complications of DM. The majority of (82.8%) study participants were not aware that sexual dysfunction could be attributed to DM (Table 3).
The distribution of diabetic patients by their knowledge of diabetic complications in public hospitals; Addis Ababa, Ethiopia, 2020.
Knowledge items
Yes/true n (%)
No/false n (%)
I don't know n (%)
What is the normal fasting blood sugar level?
121 (32.1)
256 (67.9)
0
What are the most common symptoms of high blood sugar?
Increased thirst
195 (51.7)
178 (47.2)
4 (1.1)
Frequent urination
237 (62.9)
140 (37.1)
0
Blurring of vision
323 (85.7)
54 (14.3)
0
Weakness
306 (81.2)
71 (18.8)
0
Dry mouth
229 (60.7)
148 (39.3)
0
Confusion
109 (28.9)
268 (71.1)
0
What are the most common symptoms of low blood sugar?
Palpitation
229 (60.7)
148 (39.3)
0
Tremor
291 (77.2)
86 (22.8)
0
Sweating
322 (85.4)
54 (14.3)
1 (0.3)
Blurring of vision
315 (83.6)
61 (16.2)
1 (0.3)
Decreased coordination
84 (22.3)
292 (77.5)
1 (0.3)
Do you know that diabetes can cause complications in organs of our body?
374 (99.2)
3 (0.8)
0
What are common complications of organs?
Diabetic foot
266 (70.6)
109 (28.9)
2 (0.5)
Eye complication
323 (85.7)
52 (13.8)
2 (0.5)
Heart complication
259 (68.7)
118 (31.3)
0
Neuropathy
163 (39.7)
214 (56.8)
0
Renal complication
321 (85.1)
56 (14.9)
0
Stroke
64 (16.9)
312 (82.8)
1 (0.3)
Tooth decay
176 (46.7)
200 (53.0)
1 (0.3)
Sexual dysfunction
63 (16.7)
310 (82.2)
4 (1.1)
Can dietary modification prevent diabetic complication
300 (79.6)
8 (2.1)
69 (18.3)
Is physical exercise help to prevent diabetic complication
324 (85.9)
12 (3.2)
41 (10.9)
If you are beginning to have a low blood glucose reaction, you should?
Exercise
356 (94.4)
21 (5.6)
0
Lie down and rest
326 (86.5)
51 (13.5)
0
Drink some juice
333 (88.3)
44 (11.7)
0
Rapid-acting insulin
287 (76.1)
90 (23.9)
0
Is diabetic education existed in the facility where you have follow-up?
251 (66.5)
4 (1.1)
122 (32.4)
Knowledge status
Good
207 (54.9)
Poor
170 (45.1)
Factors Associated With Knowledge of Diabetic Complications
In identifying independent factors for good knowledge of diabetic complications, a statistical association was observed among diabetic patients who were governmental workers [AOR = 3.12, 95% CI (1.33, 7.34)] and merchants [AOR = 2.54, 95% CI (1.16, 5.56)] in comparison to farmers. Patients with DM of duration 5–10 years [AOR = 0.41, 95% CI (0.23, 0.73)] and ≥10 years [AOR = 0.36, 95% CI (0.19, 0.69)] were 60 and 64% less likely to have good knowledge of diabetic complications, respectively, compared to <5 years duration. Furthermore, patients who had a family history of DM [AOR = 1.68, 95% CI (1.03, 2.75)] were 1.6 times more likely to have good knowledge about DM complications. Patients who participated in diabetic counseling [AOR = 2.41, 95% CI (1.50, 3.86)] were 2.4 times more likely to have good knowledge about DM complications (Table 4).
Bivariate and multivariable logistic regression analysis of knowledge of diabetes mellitus complications among Type-2 diabetic patients in public hospitals of Addis Ababa, 2020.
Factors
Knowledge
COR 95% CI
P-value
AOR 95% CI
Good freq.
Poor freq.
Age
≥46
107
128
0.84 (0.2, 3.42)
0.80
31–45
96
38
2.56 (0.6, 10.62)
18–30
4
4
1.00
Sex
Male
105
62
1.79 (1.18, 2.71)
0.006*
Female
102
108
1.00
Educational status
Secondary and above
153
72
8.5 (4.02, 17.95)
0.000*
Primary
44
58
3.03 (1.37, 6.73)
0.006*
Can't write and write
10
40
1.00
Profession
NGO worker
10
3
5.56 (1.32, 23.45)
0.02*
3.13 (0.67, 14.65)
House wife
31
78
0.66 (0.31, 1.42)
0.29
0.58 (0.26, 1.3)
Merchant
81
42
3.21 (1.53, 6.74)
0.002*
2.54 (1.16, 5.56)**
Government worker
70
22
5.3 (2.38, 11.8)
0.000*
3.12 (1.32, 7.34)**
Farmer
15
25
1.00
Residence
Urban
179
132
1.84 (1.07, 3.15)
0.026*
0.87 (0.19, 3.86)
Rural
28
38
1.00
Duration since diagnosis of DM
≥10
43
66
0.22 (0.12, 0.39)
0.000*
0.36 (0.19, 0.69)**
5–10
81
76
0.36 (0.21, 0.61)
0.000*
0.41 (0.23, 0.73)**
<5
83
28
1.00
Family history
Yes
141
101
0.146 (0.96, 2.23)
0.08*
1.68 (1.03, 2.75)**
No
66
69
1.00
Income
>2,500
137
67
3.27 (1.03, 10.38)
0.044*
1,501–2,500
40
32
2.00 (0.6, 6.71)
0.262
501–1,500
25
63
0.63 (0.19, 2.13)
0.462
<500
5
8
1.00
Source of information
Health worker
189
148
1.56 (0.81, 3.02)
0.185*
TV/Radio
18
22
1.00
Participation in diabetic counseling
Yes
139
68
3.07 (2.01, 4.68)
0.000*
2.41 (1.5, 3.86)**
No
68
102
1.00
Variables candidate for multivariate logistic regression.
variables significantly associated with knowledge of DM complications at multivariate logistic regression using stepwise backward LR method.
Age, sex, educational status, marital status, residence, income, sources of information, and awareness of diabetic education in the health facility service were significantly associated with knowledge of diabetic complications during binary logistic regression analysis. However, they did not remain as predictors during multivariate logistic regression analyses.
DiscussionKnowledge of DM Complications
Knowledge of diabetic complications among patients with type-2 DM in the public hospitals of Addis Ababa was 54.9% [95% CI (49.6, 59.5)]. Duration of DM since diagnosis, current profession, family history, and participation in diabetic counseling were identified as predictors for good knowledge about DM complications.
In this study, the overall good knowledge of DM complications was relatively higher compared to the finding from Northwest Ethiopia (48.5%) (11). This little discrepancy might be due to population variation; 82.5% of study participants in this study were urban dwellers but only 60.4% of participants were urban-residential in Northwest Ethiopia. This higher number of living in urban, particularly in Addis Ababa, may raise the awareness/knowledge of patients with DM toward DM complications.
About 70.6% [95% CI (66, 75.1)] of study participants were aware of the diabetic foot as a complication of DM. This finding was in-line with the finding from Northwest Ethiopia (73.9%) (11), Nepal (72%) (18), Pakistan (72.9%) (19), Makah (71.2%) (20), and Nigeria (66.2%) (21).
About 85.7% [95% CI (82.4, 89.1)] of study participants were aware of diabetic eye complications, which is higher than findings from Northwest Ethiopia (72.6%) (11) and Felege-Hiwot Referral Hospital, Ethiopia (54.4%) (22). This might be due to the variation in the study population because the majority of study participants in this study are urban dwellers. However, this was in line with the studies conducted in Malaysia (86–87.2%) (23, 24), Turkey (88.1%) (12), and Myanmar (86%) (25).
Two-thirds (68.7%) [95% CI (63.7, 73.7)] of study participants were aware of heart-related complications attributed to DM, which was consistent with the findings from Nepal (68%) (18). Although it is not in line with the given CI, the finding is approximately similar to the findings from Northwest Ethiopia (63.2%) (11). However, this finding was higher than the findings from India (50%) (26), Bangladesh (48.9%) (27), Pakistan (50–60%) (19), Gambia (5.5%) (28), Ghana (9.2–35.4%) (29), and Nigeria (39.2%) (21). This difference might arise from time variation and/or methodological approach.
Only 16.7% [95% CI (13.2, 20.4)] of study participants were aware of impotency that (sexual dysfunction) could be a complication of DM. However, this finding was lower than findings from India (24%) (26), Makah (42.5%) (20), Nigeria (41.9%) (21), and Ghana (25.4%) (29). This might be due to socio-demographic variation and/or educational and counseling approach from healthcare workers to patients with DM.
Stroke was known only by 17% [95% CI (13.3, 20.8)] of study participants. This was consistent with the finding from Saud Arabia (18.7%) (20) and Bangladesh (15.2%) (27). However, it was lower than the findings from Northwest Ethiopia (39.1%) (11), Nepal (38%) (18), India (46.8%) (26), Pakistan (56.25%) (19), and Nigeria (41%) (21).
The majority (85.1%) [95% CI (81.6, 88.4)] of study participants had knowledge about diabetic renal complications. This finding was inconsistent with the finding from Northwest Ethiopia (53.7%) (11), India (53.2%) (26), Nepal (76%) (18), Bangladesh (13%) (27), Pakistan (66.6%) (19), Nigeria (54%) (21), Gambia (13.5%) (28), and Ghana (5.4%) (29). This might be due to time variation and/or due to the increment of awareness among diabetic patients because of the rise of renal failure currently.
Factors Associated With Knowledge of DM Complications
Governmental workers [AOR = 3.13, 95% CI (0.67, 14.65)] and merchants [AOR = 2.54, 95% CI (1.16, 5.56)] were three times and two times more likely to have good knowledge about DM complications compared to farmers, respectively. Patients who are more than 5 years since diagnosis of DM were less likely to have good knowledge of DM complications. This might be due to those patients who had nearly been diagnosed with DM might give high attention to diabetic educations and counseling.
Those patients who had a family history of DM [AOR = 1.68, 95% CI (1.03, 2.75)] were more likely to have knowledge of diabetic complications. The finding from Northwest Ethiopia also revealed a similar result although it had given a stronger association than (AOR = 5.55) this finding (11). Additionally, patients who had participated in diabetic counseling [AOR = 2.41, 95% CI (1.5, 3.86)] were two times more likely to have good knowledge of diabetic complications.
Strength and Limitation of the StudyStrength
The previous study included diabetic patients in one hospital but in this study patients in three hospitals were included.
This study tried to see the effect of diabetic educations and participation in diabetic counseling on knowledge of DM complications.
Limitation
Lack of references because many research studies were descriptive cross-section studies.
Since the study design used was cross-sectional, the finding regard to factors associated with knowledge of DM complications might not be strong.
Conclusion and RecommendationConclusion
Knowledge of diabetic complications among patients with type-2 DM in Public Hospitals of Addis Ababa was 54.9% [95% CI (49.6, 59.5)]. The knowledge of diabetic complications was determined by the duration of DM since diagnosed, current profession, family history, and participation in diabetic counseling.
Recommendations
For DM clinics and DM federations
Strengthen the participation of diabetic patients in diabetic counseling
Emphasize sustaining knowledge about DM complications for patients who are more than 5 years since diagnosed with DM
Attention is needed for farmers who had DM in increasing their knowledge about DM complications
For patients with DM and healthcare workers
Patients without family history should increase their knowledge/awareness about DM complications
For researchers
Researchers are recommended to dig out reasons for knowledge about DM complications to be lower for diabetic patients of long duration by qualitative study design.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by the Institutional Research Ethics Review Committee of Kea-med Medical College which was written on October 2020 with Ref. No of KMC/IRB/014/12. The patients/participants provided their written informed consent to participate in this study.
Author Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis, and interpretation. They contributed to all these areas, taking part in drafting, revising, or critically reviewing the article, giving final approval of the version to be published, agreeing on the journal to which the article has been submitted, and agreeing to be accountable for all aspects of the work.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
We would like to thank Kea-med Medical College for giving this opportunity. We thank data collectors and study participants. We would like also to give our heartfelt thanks to all hospital managers for their cooperation.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2021.812586/full#supplementary-material
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