A Systematic Review on Knowledge-Attitude-Practice on diabetes: Assessment Process and Outcome Levels
Bilkis Banu1,2, Farzana Yasmin1, Mobarak Hossain Khan3, Liaquat Ali4,
Rainer Sauerborn1, Aurélia Souares1
1Heidelberg Institute of Global Health, Heidelberg University Hospital, INF 130.3, 69120 Heidelberg, Germany.
2Northern University Bangladesh, Holding-13, Road-17, Banani C/A, Dhaka-1213, Bangladesh.
3East West University, Plot-A/2, Jahirul Islam Avenue, Jahirul Islam City, Aftabnagar, Dhaka-1212, Bangladesh.
4Pothikrit Institute of Health Studies, 1/ E, Paribag, Dhaka, Bangladesh.
*Corresponding Author E-mail: bilkisbanu80@gmail.com
ABSTRACT:
This systematic review aimed to gather scientific evidence regarding the methods and indicators used to measure Knowledge Attitude and Practices (KAP) related to their disease among patient with diabetes and the level of KAP measured as outcome. 65 studies were included in this review following the defined inclusion and exclusion criteria and using the 7 electronic databases. Reviewed papers were categorized according to the assessment process of KAP in the studies. Articles were described and analyzed according to a list of criteria defined: the publication year; research location; study design; age of study subjects; addressed issues, process to measure and level of KAP in the article. Assessment of KAP on diabetes was expressed by mean, categories, percentage or in combined process. Majority of the reviewed studies were cross sectional (n=46, 71%), performed among adult patients (n=59, 91%), conducted in Asia (n=39, 60%) and used non- standardized questionnaire (65%). In most of the studies, level of knowledge and attitude on diabetes was found to be average (n=39, 60% & n=7, 11% respectively) and practices were found poor (n=12, 19%). The findings showed different types of indicators produced to measure KAP and the different dimensions being used either independently or together. There is a need for a standard validated questionnaire to be able to produce a measure of knowledge and behaviors of patients with diabetes that will be valid and comparable.
KEYWORDS: Knowledge; Attitude; Practice; Diabetes; Assessment process; Outcome levels.
INTRODUCTION:
KAP (knowledge, attitude, practice) studies are widely used to gather information on a specific disease1 and identify what people know (knowledge), how they feel (attitude) and what they do(practice).2 Knowledge, attitude, and practice are not only correlated but also knowledge and attitude directly influence preventive practice.3KAP studies can be used for a large variety of themes and health-related subjects.2The attractive characteristics of KAP studies include: simple study design, quantifiable data, concise results with easy interpretation, generalization of small sample results to a wider population if properly implemented, cross cultural comparability and speed of implementation.1KAP studies are helpful to plan and design appropriate, cost effective and specific intervention strategies. But, also to measure the impact of an intervention comparing the baseline with end line values to measure the effectiveness of health promotion and education activities or interventions which have the ability to change health-related behaviors.2 Nevertheless, some social scientists have criticised the accuracy of information and applicability of KAP studies because there is limited scientific evidence regarding the appropriate indicators to measure KAP in the studies throughout the international health community.
Diabetes Mellitus (DM) is a major and increasing health problem which imposes huge economic burdens on patients, their families, society and national healthcare systems across the world. In 2015, the International Diabetes Federation (IDF) estimated that 415 million adults aged 20 to 79 years had diabetes and USD 673 billion was spent to treat diabetes and its related complications.4 If effective and sustainable actions are not taken, there will be 642 million people living with this disease and total health expenditure on diabetes are expected to increase by USD 802 billion by 2040.5 Patient’s own management is very important in controlling glycemic status adequately and in preventing complications, disability limitations and rehabilitation.6
Diabetes knowledge related in particular to necessary practices in prevention, management and control of the disease influence patients for their attitude, preconceived ideas about diabetes and its management. Appropriate knowledge and positive attitude help patients to maintain healthy lifestyles practices and to become adherent to physician’s advices.3, 7 Many effective interventions are available to reduce the economic burden of diabetes by improving management of the disease, to prevent or delay the apparition of the disease or of related complications.8 The aim of this review is to gather scientific evidence regarding the methods used to measure KAP on diabetes in different studies and the level of KAP on diabetes which was found as outcome in the different articles.
Material and methods:
Data sources and searches:
An extensive search was performed to identify relevant studies by using PubMed, Hinari, Web of Science, INASP PERII CONSORTIUM, Wiley Online Library, Research Gate, Google. The key terms used for all searches engines were – “KAP”, “knowledge”, “attitude”, “practice”, “measurement”, “assessment”, “diabetes”, “diabetes management”, “diabetes prevention”, “patients with diabetes”, “type 1 diabetes”, “type 2 diabetes”, “cross sectional study”, “survey”, “intervention”, “effectiveness”, “randomized control trial”, and “cluster randomized control trial”.
Study selection:
All studies published between 2001 and 2015 and reporting the level of knowledge, attitude and practice of patients with diabetes were included. The inclusion criteria were: (1) level of KAP on diabetes was measured whether K or A or P were measured separately or jointly, (2) observational/ cross-sectional studies, intervention/ effectiveness studies, case control studies randomized-control trials (RCTs) focusing on diabetes, (3) articles published between 2001 and 2015, (4) publications in peer-reviewed journals and (5) publications written in English. Exclusion criteria were (1) qualitative studies on KAP focusing on diabetes, (2) KAP studies focusing on other issues such as heart disease, hypertension etc., (3) reviews, policy papers, feasibility studies, grey publications, reports, book/chapters, thesis/proposal, editorial letter focusing on diabetes, (4) publications not written in English, (5) publications in non-peer reviewed journals and (6) published articles were not accessed in the full text.
Figure 1: Review process of the articles
Data extraction:
The articles were searched by two of the authors (BB and FY) independently using the same search engines and the same key terms list. 407 potential articles (BB 268, FY 178, and among them 39 articles were common to the two reviewers) were identified after the initial individual search. The first author (BB) has then reviewed all the titles and abstracts following inclusion and exclusion criteria. Among the 407 articles, the full texts of 7 articles were non-accessible. 139 articles were measuring KAP among subjects without diabetes: health care professionals, students, teachers of different grade of education and many other professionals (physicians, nurses, pharmacists, dentists, diabetes educators, veterans, medical students, etc.) and ethnic population; 125 articles were measuring KAP focusing on patients with diabetes and eye diseases, heart diseases, oral health, smoking, insulin use, hypertension etc.; 10 articles were not written in English; 13 were qualitative studies; 9 were systematic reviews; 9 were reports; 4 theses and 26 other types of publications were excluded. At the end, 65 articles met the full inclusion criteria (Fig 1).
Data synthesis and analysis:
The researchers carefully checked in each paper which dimension were presented and the assessment indicators used to measure KAP on diabetes in different studies. The results of KAP were presented either showing the mean value of total score (in percentage), or in different types of category or as percentage or as combination. Characteristics of the included studies were analyzed: publication year, research location, study design, methodology and age category of study subjects. Continent (North America, South America, Europe, Africa, Antarctica, Asia and Australia) of the study area was considered as research location.9 Age of the study subjects of the included articles were dichotomized as children (age <18 years) and adult (age ≥18 years).10
To compare the outcome result between studies, the results of K/A/P/KA/KP/KAP were categorized. Results were expressed as ‘poor’, ‘average’ and ‘high’. Results expressed in mean, values and percentage were categorized into the three categories (poor =<50%, average 50% to 80% and high>80%). When, the mean values were not in percentage (100%), there were converted into 100% and afterwards these values were categorized into above mentioned three levels.
Level of K/A/P/KA/KP/KAP were categorized in many studies, but the categorized terms varied from study to study. Rephrasing was done such as ‘insufficient/highly insufficient/very poor/ strongly negative/ negative’ were rephrased as poor; ‘sufficient/good/positive/fair’ were rephrased as average and ‘highly sufficient/ strongly positive’ were rephrased as high.
Results:
Assessment process of KAP on diabetes:
From a total number of 407 potential research results, 400 full texts were selected for the review, as for the full texts were not accessible. Among them65 articles were included, following the inclusion criteria. Amongst the included 65 articles, in 36 articles mean was used to present the results, in 5 articles categories were used and in 10 articles percentage were used to express KAP. A combination of these three was used to express KAP result in 14 articles. Table 1 to 5 representing the scrutinize information of this review study.
Table 1: Major study results of KAP on Diabetes (expressed by mean) with study characteristics
|
No |
Lead Author |
Year |
Country (Continent) |
Study design |
Sample size |
Age in years (categories) |
Issues covered |
|
|
1 |
Nadir Kheir9 |
2011 |
Qatar (Asia) |
Cross Sectional |
54 |
18+ (Adult) |
KAP |
|
|
2 |
Soon Ae Shin 6 |
2015 |
Korea (Asia) |
Intervention (Educational) |
6,007 |
<40 to 70+ (Adult) |
KP |
|
|
3 |
Zahid Hussain10 |
2015 |
Malaysia (Asia) |
Cross Sectional |
166 |
18+ (Adult) |
K |
|
|
4 |
Eva M. Vivian 11 |
2014 |
USA (North America) |
Cross Sectional |
153 |
18 to 60+ (Adult) |
K |
|
|
5 |
Jorge G. Ruiz 12 |
2014 |
USA (North America) |
Intervention (Randomized control trail) |
150 |
20+ (Adult) |
K |
|
|
6 |
Unyime Sunday Jasper 13 |
2014 |
Nigeria (Africa) |
Cross Sectional |
184 |
21-80 (Adult) |
K |
|
|
7 |
Stanley Sai-Chuen Hui 14 |
2014 |
China (Asia) |
Cross Sectional |
258 |
51±10 (Adult) |
K |
|
|
8 |
Aleksandra Araszkiewicz15 |
2014 |
Poznan, Poland (Europe) |
Intervention (prospective quasi experimental) |
79 |
23.4 ± 5.1 (Adult) |
K |
|
|
9 |
Reza Negarandeh16 |
2013 |
Iran (Asia) |
Intervention (Randomized control trail) |
127 |
40+ (Adult) |
KP |
|
|
10 |
Roya Mansour-Ghanaei17 |
2013 |
Iran (Asia) |
Cross Sectional |
92 |
17-45 (Adult & Children) |
K |
|
|
11 |
Jie Hu 18 |
2012 |
China (Asia) |
Cross Sectional |
108 |
50+ (Adult) |
K |
|
|
12 |
Eva K. Fenwick 19 |
2013 |
Australia (Australia) |
Cross Sectional |
181 |
18+ (Adult) |
K |
|
|
13 |
Habiba I. Ali20 |
2013 |
United Arab Emirates (UAE) (Asia) |
Cross Sectional |
94 |
31.1±4.9 (Adult) |
K |
|
|
14 |
Alisha J. Rovner21 |
2012 |
USA (North America) |
Cross Sectional |
282 |
8 to 18 (Children) |
K |
|
|
15 |
Dalma Alves Pereira 22 |
2012 |
Brazil (South America) |
Intervention (randomized clinical trial) |
62 |
Intervention Group:45 to 81; Control Group:44 to 87 (Adult) |
K |
|
|
16 |
Esther Mufunda23 |
2012 |
Zimbabwe (Africa) |
Cross Sectional |
58 |
20 to 72 (Adult) |
K |
|
|
17 |
Pauline SM Lai 24 |
2012 |
Malaysia (Asia) |
Intervention (Educational) |
77 |
18+ (Adult) |
K |
|
|
18 |
Mandana Goodarzi25 |
2012 |
Iran (Asia) |
Intervention (Randomized control trail) |
81 |
Exp:50.98±10.32, Cont: 56.71±9.77 (Adult) |
KAP |
|
|
19 |
Tim Wysocki 26 |
2011 |
Southeastern U.S. (North America) |
Cross Sectional |
151 |
8- to 18 years (Children) |
K |
|
|
20 |
Malathy R 27 |
2011 |
India (Asia) |
Intervention (Educational) |
207 |
30+ (Adult) |
KAP |
|
|
21 |
Sujeev S. Bains 28 |
2011 |
USA (North America) |
Cross Sectional |
125 |
18+ (Adult) |
KP |
|
|
22 |
Gregory Joseph Ryan A. Ardena29 |
2010 |
Philippines (Asia) |
Cross Sectional |
156 |
18+ (Adult) |
K |
|
|
23 |
A.M.S.Al-Adsani30 |
2009 |
Kuwait (Asia) |
Cross Sectional |
5,114 |
55.6±10.4 (Adult) |
K |
|
|
24 |
Mary Lynn McPherson 31 |
2008 |
USA (North America) |
Cross Sectional |
44 |
66.5±9.72 (Adult) |
K |
|
|
25 |
Ildiko H Koves32 |
2008 |
Australia (Australia) |
Cross Sectional |
83 |
5–18 (Children) |
K |
|
|
26 |
Nurgul Fitzgerald 33 |
2008 |
Countries of Latin America (South America) |
Case Control |
100 |
35 to 60 (Adult) |
K |
|
|
27 |
Lai Shin Yun34 |
2007 |
Malaysia (Asia) |
Cross Sectional |
120 |
21 to 65 (Adult) |
K |
|
|
28 |
Ahmad AyazSabri35 |
2007 |
Pakistan (Asia) |
Cross Sectional |
240 (120 rural+120 urban) |
Adult (Adult) |
K |
|
|
29 |
X.He36 |
2007 |
China (Asia) |
Cross Sectional |
106 |
25 to 75 (Adult) |
K |
|
|
30 |
C H Ding 37 |
2006 |
Malaysia (Asia) |
Cross Sectional |
83 |
mean age 53.3 years, range 21-72 (Adult) |
K |
|
|
31 |
Russell L. Rothman 38 |
2005 |
USA (North America) |
Intervention (randomized control trial) |
217 |
55.1± (11.8) (Adult) |
K |
|
|
32 |
Nancy Garrett 39 |
2005 |
USA (North America) |
Intervention (Randomized control trail) |
Intervention: 358, Control: 382 |
adult (Adult) |
KP |
|
|
33 |
Karen Chapman Novakofski40 |
2005 |
USA (North America) |
Intervention (Educational) |
239 |
63±10 (Adult) |
K |
|
|
34 |
Nikhil P. Hawal41 |
2012 |
India (Asia) |
Cross Sectional |
1,058 |
16 to 60+ (Adult & Children) |
KA |
|
|
35 |
TeshagerAklilu42 |
2014 |
Ethiopia (Africa) |
Cross Sectional |
303 |
18 to 65+ (Adult) |
K |
|
|
36 |
Shu Hui Ng 43 |
2012 |
Malaysia (Asia) |
Cross Sectional |
75 |
30 – 79 (Adult) |
KAP |
Table 1 continued
|
No |
Major study results |
||
|
Knowledge (coded in categories) |
Attitude (coded in categories) |
Practice (coded in categories) |
|
|
1 |
Total score (%): 50.7±18.9 (Average) |
Total score (%): 84.2±12.7 (High) |
Total score (%): 61.9±13.9 (Average) |
|
2 |
Total score (out of10): Pre:5.66±2.54 (Average) Post: 8.35±1.95 |
|
Score (out of 15):Pre: Nutrition: 14.07±2.87; Medication: 12.18±3.81; Self-monitoring of blood glucose: 6.75±3.35; Foot care: 9.42±3.16; Oral care: 5.74±2.04 (High) Post: Nutrition: 15.46±2.38; Medication: 13.00±3.40; Self-monitoring of blood glucose: 8.30±3.28; Foot care: 11.52±2.52; Oral care: 6.50±1.88 |
|
3 |
Total score (out of 15): 10.01±3.63(Average) |
|
|
|
4 |
Total score (%): 63.5 ± 0.2 (Average) |
|
|
|
5 |
Total score (out of 40): Pre: 2.42±1.98 (Poor)Post: 25.40±5.27 |
|
|
|
6 |
Total score (out of14): 6.2 ± 2.2 (Poor) |
|
|
|
7 |
Individual score (out of20): Physical activity 12.85±3.46 (Average) |
|
|
|
8 |
Total score (out of 20): Pre:14 (High)Post: 16 |
|
|
|
9 |
Total score (out of 44): Pre:Control:27.57±3.59, Pictorial Image group: 27.27±3.59, Teach Back Group: 26.71±3.70 (Average) Post:Control:29.41±2.87, Pictorial Image group: 34.65±2.42, Teach Back Group: 35.32±2.12 |
|
Pre: Drug score (out of9)-Control:4.52±1.74, Pictorial Image group: 4.33±1.62, Teach Back Group: 4.37±1.46; Diet score (out of 8)-Control:4.65±1.36, Pictorial Image group: 4.6±1.19, Teach Back Group:4.77±1.30 (Poor); Post: Drug score (out of 9)-Control:4.32±1.58, Pictorial Image group: 6.73±1.52, Teach Back Group: 7.03±0.99; Diet score (out of 8)-Control:3.63±0.99, Pictorial Image group: 5.87±0.82, Teach Back Group:6.15±0.61 |
|
10 |
Total score (out of 12): 5.96 ± 2.32 (Poor) |
|
|
|
11 |
Total score (out of22):12.71±5.86 (Average) |
|
|
|
12 |
Total score (%): 61.7±17.2 (Average) |
|
|
|
13 |
Total score (out of 14): 8.66±2.2 (Average) |
|
|
|
14 |
Total score (%): 56.9±16.4; Individual score (%): diet-55.4±29.5 (Average) |
|
|
|
15 |
Pre: Total score (%): I:20.7, Control:20.9; Individual score (%)-Physical activity: Intervention:20.1; Control:21.2; Diet-Intervention:45.6; Control:44.4; Complications-Intervention:27.7, Control:27.2(Poor) Post: Total score (%): I:48.3, Control:25.6; Individual score (%)-Physical activity: Intervention:37.8.1, Control:26.3; Diet-Intervention:79.0,Control:49.7; Complications-Intervention:62.5,Control:35.7 |
|
|
|
16 |
Total score (%): 63.1 ± 14.2 (Average) |
|
|
|
17 |
Total score (%): Pre:85.97 ± 19.21 (High); Post:91.15 ± 15.29 |
|
|
|
18 |
Total score (out of 14): Pre: Exp group- 7.97± 2.58, Control group-8.05±2.11 (Average); Post: Exp group- 10.83± 2.15, Control group-8.68±1.97 |
Total score (out of 20):Pre: Exp group- 18.25± 4.32,Control group-16.73± 1.91 (High);Post: Exp group- 18.16± 1.25,Control group-17.15± 1.77 |
Total score (out of5): Pre: Exp group-3.72± 1.18 Control group-3.86± 0.77 (Average); Post Exp group:-4.93± 1.16 Control group-2.26± 0.92 |
|
19 |
Individual score (out of): -Complications-17.8±11.8 (Poor) |
|
|
|
20 |
Total score (out of 18): Pre: Test group (TG)-9.8±3.68; Control Group (CG)-10.35±6.22; Individual: Definition{TG-103(75%),CG-48(69%)}; Cause{TG-69(50%),CG-36(55%)}, Symptoms{TG-103(75%),CG-55(75%)}, Exercise{TG-69(50%),CG-37(53%)},Treatment{TG-114(83%),CG-56(80%)}, Diet{TG-69(50%),CG-34(48%)}, Drug{TG-80(58%),CG-41(58%)} (Average) Post: Test group (TG)-12.92±3.56 ; Control Group (CG)-10.29±6.33 |
Total score (out of 4):Pre: Test group-1.84±0.88; Control Group-1.94±1.88 (Poor); Post: Test group-2.76±0.86; Control Group-2±1.83 |
Total score (out of 3): Pre: Test group-2.80±0.40; Control Group-3±0.0 (High); Post: Test group-2.88±0.32; Control Group-3±0.0 |
|
21 |
Total score (%): 15.3±0.4 (Poor) |
|
Individual score (%): Drug-0.9±0.1, Diet-4.6±0.2, Exercise-2.7±0.2, Blood sugar monitoring-4.7±0.2, Foot care-5.2±0.2 (Poor) |
|
22 |
Total score (%): 42.71±14.84, Individual:Definition-37.74±23.05,Diet-58.81±26.31,Exercise-22.56±22.39,Treatment-61.15±17.78 (Poor) |
|
|
|
23 |
Total score (%):DKT: 58.9±22.1, General Knowledge:61.6±22.1, Insulin Use:54.7±22.7 (Average) |
|
|
|
24 |
Individual score (out of8): drug 4.8±1.71 (Average) |
|
|
|
25 |
Total score (out of 32): :28 ±3.45 (High) |
|
|
|
26 |
Individual score (out of 20): Diet- Case:10.35±4.39 (Average); Control: 10.54±4.61 |
|
|
|
27 |
Total score (out of 30): 24.4 ±3.83; Individual score: Symptoms(out of 9)- 8.54 ±1.08, treatment(out of 9)-7.57±1.29, risk factors(out of 4)-3.37 ± 0.99 (High) |
|
|
|
28 |
Total score (out of 25): rural-13±2 & Urban-18±2 (Average) |
|
|
|
29 |
Total score (out of 30):22.1 ± 3.76 (Average) |
|
|
|
30 |
Total score (%): 81.8%±1O.9, Individual:Definition-71.2 (66.6 to 75.8),Symptoms-85.3 (81.6 to 88.1),Risk factors-69.6 (63.4 to 75.7), Treatment-86.9 (84.3 to 89.6) (High) |
|
|
|
31 |
Total score (%): 49.5±23.7 (Poor) |
|
|
|
32 |
Total score (out of 10): Pre: Intervention: 7.1, Control: 7.1; Individual score (out of 10): diet:-Intervention: 7.4, Control: 7.2, Exercise-Intervention: 7.8, Control: 7.8,prevention: Intervention: 6.9, Control: 6.9 (Average); Post Intervention: 8.4, Control: 7.8; Individual diet: Intervention: 8.6, Control: 8.1, Exercise-Intervention: 8.8, Control: 8.3,prevention: Intervention: 8.4, Control: 7.7 |
|
Individual score (out of 10):Pre: diet-Intervention: 6.3, Control: 6.6, Exercise-Intervention: 5.9, Control: 5.9,drug-Intervention:8.6, Control: 8.8 (Average); Post: diet-Intervention: 7.2, Control: 6.9, Exercise-Intervention: 6.7, Control: 6.2,drug-Intervention:9.1, Control: 8.8 |
|
33 |
Total score (%): Pre: 67±10 (Average); Post: 84±10 |
|
|
|
34 |
Total score (out of15):4.94±1.45, Individual(Correct Answer): Definition-382 (38.5%),Diagnosis-323 (32.6) (Poor) |
Total score (out of 10): 6.29±1.15 (Average) |
|
|
35 |
Total score (%):61.96±13.43 (Average) |
|
|
|
36 |
Total score (out of 14): 11.85 ± 2.45 (High) |
Total score (out of5): 3.36 ± 1.29 (High) |
Total score (out of 6): 4.39 ± 1.36 (High) |
Table 2: Major study results of KAP on Diabetes (expressed by categories) with study characteristics
|
No |
Lead Author |
Year |
Country (Continent) |
Study design |
Sample size |
Age in years (categories) |
Issues covered |
|
|
1 |
Anju Gautam 44 |
2015 |
Nepal(Asia) |
Cross Sectional |
244 |
40+ (Adult) |
KAP |
|
|
2 |
Kelli Cristina Silva de Oliveira 45 |
2011 |
Brazil(South America) |
Cross Sectional |
79 |
30 to 80 (Adult) |
KA |
|
|
3 |
Flavia Fernanda Luchetti Rodrigues 46 |
2009 |
Brazil(South America) |
Cross Sectional |
82 |
average age of 61.28 (Adult) |
KA |
|
|
4 |
G. Rafique 47 |
2006 |
Karachi, Pakistan (Asia) |
Cross Sectional |
199 |
25 to 70+ (Adult) |
KAP |
|
|
5 |
Henry I.Okonta48 |
2014 |
Pretoria, Gauteng Province, South Africa(Africa) |
Cross Sectional |
217 |
30 to 70+ (Adult) |
KAP |
Table 2 contiued
|
No |
Major study results |
||
|
Knowledge (coded in categories) |
Attitude (coded in categories) |
Practice (coded in categories) |
|
|
1 |
21.3 % highly insufficient, 22.5 % insufficient, 23 % |
28.3 % highly insufficient, 15.2 % insufficient, 21.3 %
sufficient, 22.5 % satisfactory and |
Total: 29.1 % highly insufficient, |
|
2 |
64.6% average and 35.4% high (Average) |
93.7% Poor and 6.3% High (Poor) |
|
|
3 |
good 78.05% (Average) |
Average52.07%(Average) |
|
|
4 |
Poor-96 (48.2%), Acceptable-76(38.2%),Good-27 (13.6%) (Poor) |
Poor-108 (54.3), Acceptable-56 (28.1%),Good-35(17.6%) (Poor) |
Poor-110 (55.3%), Acceptable-67 (33.7%),Good-22(11.0%) (Poor) |
|
5 |
Individual: Exercise-200 (92.1%); Average-16(7.4%);Good-1(0.5%), Diet-159 (73.3%); Average-58(26.7%);Good-0(0) (Poor) |
Individual: Lifestyle Modifications: strongly negative 1 (0.5), negative 5 (2.3), neutral 28(12.9), positive 71 (32.7), strongly positive 112(51.6) (High) |
Individual: Lifestyle Modifications, very poor-199 (91.7),poor 13 (6), good 3(1.4), very good 2(0.9) (Poor) |
Level of K/A/P/KA/KP/KAP expressed by categories was rephrased. This was for ‘insufficient/highly insufficient/very poor/ strongly negative/ negative’ were rephrased as poor; ‘sufficient/good/positive/fair’ were rephrased as average and ‘highly sufficient/ strongly positive’ were rephrased as high.
Table 3: Major study results of KAP on Diabetes (expressed by percentage) with study characteristics
|
No |
Lead Author |
Year |
Country (Continent) |
Study design |
Sample size |
Age in years (categories) |
Issues covered |
|
|
1 |
Ninfa C. Pena-Purcell49 |
2014 |
USA (North America) |
Intervention (prospective, quasi-experimental) |
75 |
40+ (Adult) |
K |
|
|
2 |
NurayGuler50 |
2011 |
Turkey(Europe) |
Cross Sectional |
200 |
18+(Adult) |
K |
|
|
3 |
Viral N. Shah 51 |
2009 |
Gujarat, India(Asia) |
Cross Sectional |
238 |
30 to 80(Adult) |
KP |
|
|
4 |
NamrathaR.Kandula52 |
2009 |
America(North America) |
Intervention (Educational) |
190 |
45 to 65(Adult) |
K |
|
|
5 |
Mehta RS 53 |
2006 |
Nepal(Asia) |
Exploratory study |
35 |
40 to 60(Adult) |
K |
|
|
6 |
NaeemaBadruddin54 |
2002 |
Karachi, Pakistan(Asia) |
Cross Sectional |
100 |
40 to 60(Adult) |
KP |
|
|
7 |
Dinesh K Upadhyay55 |
2012 |
Nepal(Asia) |
Cross Sectional |
162 |
10 to 80(Adult & Children) |
KP |
|
|
8 |
Naheed Gul 56 |
2010 |
Pakistan(Asia) |
Cross Sectional |
100 |
45 to 55(Adult) |
K |
|
|
9 |
Ravinder Pal Singh 57 |
2013 |
Delhi, India(Asia) |
Cross Sectional |
170 |
51 to 60(Adult) |
KAP |
|
|
10 |
Mangaiarkkarasi A 58 |
2012 |
Pondicherry, India(Asia) |
Cross Sectional |
100 |
30 to 70(Adult) |
KAP |
Table 3 contiued
|
No |
Major study results |
||
|
Knowledge (coded in categories) |
Attitude (coded in categories) |
Practice (coded in categories) |
|
|
1 |
Individual(Correct response):Pre: Symptoms(HighBG)-Intervention:13.24%, control: 19.35%, Symptoms(lowBG)-Intervention:38.46%, control:34.92%;Diagnosis-Intervention:73.97%,control:71.88%; Complications-Intervention:68.12%, control:76.56%;treatment:-Intervention:77.14%, control:77.78%;Exercise-how often: Intervention:83.56%, control:88.71%, How long-intervention:69.7%, control:76.92% (Average); Post: Symptoms(HighBG)-Intervention:17.91%, control: 8.11%, Symptoms(lowBG)-Intervention:50.0%, control:45.95%;Diagnosis-Intervention:91.04%, control:68.42%; Complications-Intervention:100%, control:68.42%;treatment:-Intervention:98.48%, control:91.89%;Exercise-how often: Intervention:100%, control:97.3%, How long-intervention:70.97%, control:74.29% |
|
|
|
2 |
Individual (Correct Response):Exercise-50%, Complications-79% (Average) |
|
|
|
3 |
Individual(correct answer %):Definiton-46.63;Causes-17.64,Diagnosis-82.77,Exercise-51.23,Diet-74.78 (Average) |
|
Individual(correct answer %):Diet-54.21,Blood glucose check-70.16 (monthly), foot check-56 (Average) |
|
4 |
Individual (adequate K): Pre:Causes-26.7%; Prevention-56%(Average) Post:Causes-66.7%; Prevention-66% |
|
|
|
5 |
Total:82.1% had K, Individual: Causes-25% had K, Treatment-42.9% had K, Prevention-46.4% had K (High) |
|
|
|
6 |
Total: 54% poor; 34% fair, 13% good (Poor) |
|
Individual:14% Home Blood Glucose Monitoring, 8%Lab Testing, 9%exercised for more than half an hour daily, 47% had intake fruits and vegetables daily. (Poor) |
|
7 |
Individual(correct answer %):symptoms-82 (50.62%),risk factors-35 (21.60%),complications-52 (32.10%),exercise-31 (19.14%),diet-48 (29.63%) (Poor) |
|
Individual-Adherence Diet:Never145 (89.51) Occasional 14 (8.64) Frequent 3 (1.85);Self-monitoring Never 161 (99.38) Occasional 0 (0.00) Frequent 1 (0.62),Exercise: Never 111 (68.52) Occasional 42 (25.93) Frequent 9 (5.56) (Poor) |
|
8 |
Individual (correct Answers %):Risk Factors-69%, complications-39% (Average) |
|
|
|
9 |
Individual (correct answers): Definition-146(85.9%), causes-47(27.4%),complications-80(47.6%),exercise-99(52.2%),diet-149(87.6%) (Average) |
Total:72.65% positive attitude (Average) |
Individual(Good Practice):Diet-139 (81.8%),Drug-150(88.6%),Self BG Monitoring-127(74.7%), Exercise-53(31.2%) (Average) |
|
10 |
Individual (correct Response):Definition-43%, Cause-9%,Symptoms-35%,Treatment-42%,Complications-1% (Low) |
|
Individual (following Properly)-Drug-85%,Diet-81%,Foot Care-44%, Physical Activity-8%, BG Examination-39% (Low) |
If the percentage of the respondents found for the total/ all components of diabetes, then the percentage value was considered to decide level of KAP. The percentage value was leveled as poor=<50%, average= (50% to 80%), high= >80%. If the percentage of the respondents found for the individual components of diabetes and each component showed separate result in one study, then to make the KAP result in one unified status, rephrasing was done. At first, identified the level i.e. poor=<50%, average= (50% to 80%), high= >80% for each individual component. Afterwards, whatever the categorized level we found for most of the components, we considered that category (‘poor’, ‘average’ and ‘high’) as the summarized KAP result of each specified study.
Table 4: Major study results of KAP on Diabetes (combined expression) with study characteristics
|
No |
Lead Author |
Year |
Country (Continent) |
Study design |
Sample size |
Age in years (categories) |
Issues covered |
|
|
1 |
Grace Marie V Ku 59 |
2015 |
Philippines(Asia) |
Cross Sectional |
549 |
20+(Adult) |
KAP |
|
|
2 |
Sara A Quandt 60 |
2014 |
USA(North America) |
Cross Sectional |
593 |
60+(Adult) |
K |
|
|
3 |
Grace Marie V Ku 61 |
2014 |
Philippines (Asia) |
Intervention (prospective, quasi-experimental) |
203 |
20+ (Adult) |
KAP |
|
|
4 |
Idongesitr L. Jackson 62 |
2014 |
Nigeria(Africa) |
Cross Sectional |
303 |
18 to 69+(Adult) |
K |
|
|
5 |
D.P.Perera63 |
2013 |
Sri Lanka (Asia) |
Cross Sectional |
150 |
18+(Adult) |
K |
|
|
6 |
Farzana Saleh 64 |
2012 |
Bangladesh(Asia) |
Cross Sectional |
508 |
35 to 55(Adult) |
KP |
|
|
7 |
TitienSiwiHartayu65 |
2012 |
Indonesia(Asia) |
Intervention . (pre-post, quasi-experimental) |
Normal Care:30; CBIA-DM: 30; DM-Club: 30 |
Mean:56(Adult) |
KAP |
|
|
8 |
HarithKh. Al-Qazaz66 |
2011 |
Pulau Penang, Malayasia(Asia) |
Cross Sectional |
540 |
32 to 80(Adult) |
K |
|
|
9 |
TipapornPongmesa67 |
2009 |
Thailand(Asia) |
Cross Sectional |
1000 |
15+(Adult & Children) |
K |
|
|
10 |
Ju-Ping Huang 68 |
2009 |
Taiwan(Asia) |
Intervention (Educational) |
60 |
<60(Adult) |
KP |
|
|
11 |
Solomon AsnakewFeleke69 |
2013 |
Ethiopia(Africa) |
Cross Sectional |
410 |
18+(Adult) |
KP |
|
|
12 |
Dinesh K Upadhyay 70 |
2007 |
Nepal(Asia) |
Cross Sectional |
182 |
51 to 60(Adult) |
KAP |
|
|
13 |
Z Saadia 71 |
2009 |
Al-Qassim Region, Saudi (Asia) |
Cross Sectional |
570 |
20 to 40(Adult) |
KAP |
|
|
14 |
Fatma Al-Maskari72 |
2013 |
United Arab Emirates(Asia) |
Cross Sectional |
575 |
39 to 60+(Adult) |
KAP |
|
No |
Methods of KAP assessment |
Major study results |
||||
|
Knowledge (K) |
Attitude (A) |
Practice (P) |
Knowledge (coded in categories) |
Attitude (coded in categories) |
Practice (coded in categories) |
|
|
1 |
Mean |
Category |
Category |
Total score (%): 68.5 (Average) |
Total: Positive attitude: 437 (79.6%); Negative attitude:149 (27.1%); both positive and negative attitude: 100 (18.2%) (Average) |
Individual: Diet adherence-Yes:359 (65.4%); Drug adherence-Yes:449(81.8%); Exercise adherences-Yes:295(53.7%) (Average) |
|
2 |
Mean, Percentage |
|
|
Total score (Max 15): 10.0±2.7; Individual (Correct response): Exercise-84.49%; diagnosis-78.25%; complications-80.37%; symptoms-45.61%; diet-6.76%) (Average) |
|
|
|
3 |
Percentage |
Category |
Percentage |
Total (Correct Response): Pre:60% (Average); Post:67.5% |
Individual: (max 5) Pre: positive attitude 3.4%(Average), Post: 3.4% |
Individual (Adherence):Pre: Drug-65.9%; Exercise-41.5%; diet-60.4% (Average); Post: Drug-81.7%; Exercise-67.1%; diet-40.2% |
|
4 |
Category, Percentage |
|
|
Total: high 241 (79.5%); low(20.5%); Individual (Correct Answer): Physical activity-90.10%, diet-83.83%, drug-86.14%, diagnosis-92.08% (High) |
|
|
|
5 |
Mean & Category |
|
|
Total score (%): (68.1±9.0); Very good (≥ 75 )40 (26.7%); Good (65–74 )65 (43.3%), Average (50–64)33 (22.0%); Poor (40–49)12 (8.0%), Very poor (< 40 )0 (0.0%) (Average) |
|
|
|
6 |
Mean & Category |
|
Mean |
Basic Knowledge total score (max 13): 6 ±3, Good:16%, Average: 66%, and Poor:18%. Technical Kl-knowledge: Total score (out of 22):12±4, Good:10%, Average:78%, and Poor:12% of respondents (Average) |
|
Total score (out of 8): 3 ± 1 (Poor) |
|
7 |
Category |
Category |
Percentage |
Total: Pre: Normal Care: Good-36.6%, Fair-56.8, Poor-6.6%; CBIA-DM: Good-40.0%, Fair-46.6%, Poor-13.4%; DM-Club: Good-53.8%, Fair-40.0%, Poor-6.6%; (Average); Post: Normal Care: Good-23.3%, Fair-63.3, Poor-13.4%; CBIA-DM: Good-73.4%, Fair-23.3%, Poor-3.3%; DM-Club: Good-86.7%, Fair-10.0%, Poor-3.3%; |
Total-Pre: Normal Care: Good-18.5%, Fair-76.6, Poor-6.6%; CBIA-DM: Good-20%, Fair-70%, Poor-10%; DM-Club: Good-30%, Fair-60%, Poor-10% (Average); Post: Normal Care: Good-26.6%, Fair-73.4, Poor-0%; CBIA-DM: Good-46.6%, Fair-53.4%, Poor-0%; DM-Club: Good-36.7%, Fair-60%, Poor-3.3% |
Total-Pre: Normal Care: BGTest-46.3%, Exercise-63.4%, Diet-61.0%,drug-56.1%,Foot care-24.4%;CBIA:BGTest-43.3%, Exercise-70%,Diet-63.4%,drug-62.7%,Foot care-30% (Poor); Post: Normal Care: BGTest-50%, Exercise-50%, Diet-61.0%,drug-66.1%,Foot care-40%;CBIA:BGTest:70%, Exercise-100%,Diet-90%,drug-90%,Foot care-100% |
|
8 |
Median |
|
Median |
Total Score (Ranges 0 to 14):7.0 (High) |
|
Individual Score (Ranges 0 to 8): drug:6.5 (High) |
|
9 |
Mean± SD & Category |
|
|
Total score (max 42): 25.02 ±59.6, Poor:26.9%, fair: 58.8%, and good:14.3%. (Average) |
|
|
|
10 |
Mean & Percentage |
|
Mean & Percentage |
Total score (max 20): Pre: Exp: 12.10±.67; Control: 12.33±3.37; Post: Exp: 15.13±.19; Control: 12.63±3.54 |
|
Total score (max 5): Pre: Exp: 3.26±.50; Control: 3.67±.59; Individual (correct practice %): Diet Exp: 3.3±0.77; Control: 3.59±0.76, Exercise-Exp: 2.83±1.18; Control:3.31±0.93(Average); Post: Exp: 3.39±.51; Control: 3.76±.55; Individual (correct practice %): Diet-Exp: 3.43±0.72; Control: 3.64±0.67, Exercise-Exp: 2.75±1.13; Control:3.19±0.85 |
|
11 |
Mean± SD & Category |
|
Mean± SD & Category |
Total score (max 29): 12.71±3.73. 204(49.8%) had good k &206(50.2%) had poor (Poor) |
|
Total score (max 8): 3.20± 2.02. 154(36.8%) had good P & 256 (63.2%) had poor P. (Poor) |
|
12 |
Mean & Percentage |
Mean |
Mean |
Total score (max 18): 4.90 ± 3.34; Individual (correctly answered): Definition-69 (37.91%), Symptoms-69 (37.91%), Causes-37 (20.33%), Treatment-8 (4.40%), Exercise-16 (8.79%), Diet-39 (21.43%) (Poor) |
Total score (max 4):2.03 ± 0.95 (Average) |
Total score (max 3):0.84± 0.76 (Poor) |
|
13 |
Mean, Percentage |
Mean |
Mean |
Total score (max 14): 12.42±3.034, Individual (correct Answer %): Definition 570 (100%), Symptoms 470 (82.45%), Causes 320 (56.14%), Diagnosis-500 (87.77%), Treatment-510 (89.49%), Exercise-560 (98.24%), diet-50 (96.49%) (High) |
Total score (max 5): 1.46±1.79 (Poor) |
Total score (out of 6): 2.79±2.28 (Average) |
|
14 |
Category |
Category |
Category & Percentage |
Total:33% ‘good’, 36% ‘fair’, and 31% ‘poor’. (Average) |
Total:(72%) negative attitude (Poor) |
Total: Good 217 (37.7%); Satisfactory 270 (47.0%); Poor 88 (15.3%). Individual (not following): Diet-158 (27.7%), Drug-55 (9.8%), BG Test-135 (24%), Physical Exercise-95 (16.6%), Foot Care-103 (18.1%) (Average) |
Results of KAP were expressed any of the three measures or its combination i.e. mean followed the measures of Table 1, category followed the measures of Table 2 and percentage followed the measures of Table 3.
Characteristics of reviewed studies:
Year of publication
Most of the articles (n=42, 64%) included were published after the year 2010 and the highest number (n=12, 18%) were published in 2012.
Research location:
Most of the studies (n=39, 60%) were conducted in Asia, 11 (17%) in North America, 6 (9%) studies in Africa and 5(8%) in South America.
Study design:
Majority (n=48, 74%) of the reviewed studies were observational (cross-sectional= 47and exploratory= 1) and the rest (n=17, 26%) were analytical studies (intervention= 16; case control=1). Different types of intervention designs were found i.e. RCT (6 studies), prospective quasi experimental design (4 studies), different types of educational intervention (6 studies).
Table 5: Distribution of articles according to main characteristics of the studies (n=65)
|
Main characteristics of the studies |
n (%) |
|
1. Year of publication |
|
|
2002 |
1 (2%) |
|
2005 |
3 (5%) |
|
2006 |
3 (5%) |
|
2007 |
4 (6%) |
|
2008 |
3 (5%) |
|
2009 |
7 (11%) |
|
2010 |
2 (3%) |
|
2011 |
7 (11%) |
|
2012 |
12 (18%) |
|
2013 |
8 (12%) |
|
2014 |
11 (17%) |
|
2015 |
4 (6%) |
|
2. Research location |
|
|
North America |
11 (17%) |
|
South America |
5 (8%) |
|
Europe |
2 (3%) |
|
Africa |
6 (9%) |
|
Antarctica |
0 (0%) |
|
Asia |
39 (60%) |
|
Australia |
2 (3%) |
|
3. Study design |
|
|
Observational (Cross Sectional/ Descriptive correlational / Exploratory) |
48(74%) |
|
Analytical (Intervention/ Case Control) |
18 (29%) |
|
4. Age Category of study subjects |
|
|
Children |
3 (5%) |
|
Adult |
59 (91%) |
|
Children & Adult |
3 (5%) |
|
5. Addressed issues of KAP in the article |
|
|
K |
37 (57%) |
|
KAP |
15 (23%) |
|
KA |
3 (5%) |
|
KP |
10 (15%) |
|
6. Level of knowledge |
|
|
Poor |
16 (25%) |
|
Average |
39 (60%) |
|
High |
10 (15%) |
|
7. Level of attitude |
|
|
Poor |
6 (6%) |
|
Average |
7 (11%) |
|
High |
4 (6%) |
|
Not assessed |
48 (74%) |
|
8. Level of practice |
|
|
Poor |
12 (18%) |
|
Average |
10 (15%) |
|
High |
4 (6%) |
|
Not assessed |
39 (60%) |
n=number of included and reviewed studies
Study subjects:
A large number (n=59, 91%) of the included studies were conducted amongst adult subjects with diabetes. Only 3 studies were conducted among children and 3 studies among children and adult both. The mean sample size of the reviewed studies was 389 with a minimum number of 35 and a maximum number of 6,007 patients with diabetes included.
Level of KAP on Diabetes:
Addressed issues of KAP in the article:
Only K was addressed in more than half of the reviewed studies (n=37, 57%), KA in 5% (n=3), KP in 15% (n=10) and KAP in 23% (n=15).
Level of K
Level of K on diabetes found average in most of the studies (n=39, 60%), poor in few studies (n=16, 25%) and high in only few studies (n=10, 15%).
Level of A
Level of A on diabetes was measured in only 17 studies out of total 65 reviewed studies. Attitude level was found average in most of the studies (n=7, 41%), poor in 35% (n=6) and high in 24% (n=4).
Level of P
Level of P was assessed in 26 studies out of total 65 reviewed studies. Interestingly, P on diabetes was found poor in most of the studies (n=12, 46%), average for 38% (n=10) and high for 15% (n=4).
In this systematic review, we considered the baseline results in case of intervention studies to assess KAP on diabetes so that the results could be comparable. All studies showed improvement of KAP after the intervention.
Overview of questionnaire types and data collection methods:
Several types of questionnaire were used to measure KAP in the reviewed articles. Most of the studies (n=40.62%) mentioned that they have developed their own questionnaire based on the literature and following expert’s consultations (n=40, 62%). The other studies used validated scale: Diabetes Knowledge Test (DKT) was used in 9(15%) studies, Diabetes Knowledge Questionnaire (DKQ) was used in 7 (12%) studies, 4 (7%) studies mentioned that they used validated questionnaire without describing it. Four different types of questionnaire were used each one if one study: Diabetes Habits and Beliefs Questionnaire, KAP Questionnaire adopted from P&T Journal, Diabetes Knowledge Inventory/ DKI, Diabetes Self Care Knowledge/ DSCK-30.
An Overview of data collection methods of the reviewed studies:
In most of the reviewed studies (n=45.7%), data were collected by face to face interviewer administered questionnaire, while the rest (n=20.3%) were gathered by self-administered method.
DISCUSSION:
To our knowledge, this is the first published systematic review to identify different assessment process for measuring KAP on diabetes and to summarize the level of knowledge, attitudes and practices among patients with diabetes. Only one other systematic review was done on patients with diabetes and with the specific objective to identify the underlying causal mechanisms responsible for improved knowledge, attitude, preventive practice and outcomes. This study aimed to formulate a framework reflecting the relationships among knowledge, attitude, practice and outcomes (KAP-O), and investigating the factors which influenced in the variations of glycated hemoglobin, low-density lipoprotein, functional capacity, and poor perceived health.1
A systematic review about KAP studies in general and not for a specific disease, stated that “no clear-cut methodology for a KAP survey is available”.73 The same is observed in our study. KAP studies are very crucial to measure human behavior and behavior changes and are of particular importance to measure the impact of health interventions. To be able to compare the results between different sites and also enhance the validity of results, it would be important to have validated tools available that could be used in different settings.
Very few official guidelines were identified that are describing the study methods and questionnaire to be used for KAP studies. In the “Guideline for conducting a Knowledge, Attitude and Practice (KAP) study” stated by Kaliyaperumal K,74 it is recommended to use a validated questionnaire and standardized methods to conduct the survey and analysis. In this review, some studies used validated questionnaire but most of the studies used self-produced and pre-tested questionnaire. In addition, types of validated questionnaire used differed from study to study. There would be a need for a standard validated questionnaire to measure KAP for diabetes and make the results more comparable. Variation analysis pattern create also barriers to comparability of KAP outcome. So, these elements should also be included in the validated guideline on KAP assessment. 59-60, 61, 62-64, 65, 66, 67, 68, 69-72
KAP results were expressed as mean, category or percentage. In addition, some studies expressed a combined KAP status. 59-60, 61, 62-64, 65, 66, 67, 68, 69-72 In KAP study usually K & P both are expressed as percentage of correct answers on a specific topic. Scores and percentages are then grouped into categories: for example, positive, middle and negative responses.74
A good proportion of the KAP studies on diabetes and also most of the reviewed intervention studies were conducted in Asia where 60% of patients with diabetes live.74, 75 Surprisingly very few of the included studies were conducted in Europe and Oceania.
Sample size of the studies included in this review was very different from one to others and varied from3553 to 60076 which questioned the validity of some studies.
Moreover, the types of interventions presented in the study varied from educational or behavioral intervention to technology-based intervention etc. The intervention included in this review reflected improved outcome after the intervention. But the outcome was evaluated at short period of time where long term interval evaluation of intervention would allow better and stronger conclusion on the sustainability of the solution to the health problems. In addition, comprehensive intervention was absent among the studies review. These interventions would include combination of government support, standardized medical care and community involvement and are essential for the sustainable prevention and control of diseases or solution of any health problem.76, 77
Level of knowledge and attitude on diabetes found was average but practices on diabetes were found poor in most of the studies in this systematic review. This is the so-called know-do gap, even if patients know what should be done to improve their health status they may not be able to do it. But, it is essential to have good level of practice for the improvement of health indicators of a nation.78 This alarming scenario indicates that this is time to identify the causal predictors influencing patients with diabetes for their poor practices and poor health outcome although they have sufficient knowledge and attitude.79 Research on the topic showed that socio-demographic factors (gender, occupation, residence, education level, social support), complications (nephropathy, neuropathy)80, 81 could lead patients with diabetes to adopt negative practice for their diabetes management although they have good knowledge and attitude related to diabetes.82,83,84
The information collected through these reviewed studies i.e. summarized results of KAP on diabetes could facilitate the development of strategic plan for appropriate intervention to combat diabetes. In addition, level of KAP on diabetes among family members, health care service providers and health care authorities also need to be measured and taken into account for a better development of needed comprehensive and sustainable intervention to improve outcomes for patients with diabetes and prevent healthy or pre-diabetic people from diabetes.
Limitations:
Study subjects, study design, sample size, questionnaire, data collection method and analysis process differ from study to study in this review. This was a major limitation of this review to generalize and visualize the summary of the KAP result. New studies published during analysis and writing of this paper has also not been included.
Conclusion and recommendations:
Worldwide KAP studies on diabetes are considered as essential because this is the doorway to observe the situation of the scenario of prevention, management and control of diabetes. Lack of uniformity of KAP questionnaire (in the absence of a validated one), conduction of KAP study and assessment process of KAP study were identified in this review as limit for the validity and comparison of the data published. Four different types of assessment process (mean, categories, percentage and combination of these three) were identified in this reviewed study to assess KAP on diabetes. Level of knowledge and attitude on diabetes was identified average but level of good practices was estimated as poor among patients with diabetes. Comprehensive educational and behavioral program could be better generated to address the know-do gap. Level of KAP indicated the worldwide current scenario regarding KAP on diabetes and is also important to measure the impact of educational and behavioral intervention which will help to design appropriate, sustainable and cost-effective health promotional programs to combat diabetes in near future.
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Received on 25.01.2021 Modified on 19.04.2021
Accepted on 14.07.2021 © RJPT All right reserved
Research J. Pharm. and Tech 2021; 14(11):6125-6138.
DOI: 10.52711/0974-360X.2021.01064