| Literature DB >> 34987891 |
Abdulmalk A Almadhi1, Mohammad R Alshammri2, Noora O Altamimi1, Shahd A Hadal1, Abdulrahman A Al Madhi1, Majdi S Salahie1.
Abstract
Objectives Rheumatic fever (RF) is an inflammatory disorder caused by group A streptococcal pharyngitis infections that can progress to rheumatic heart disease (RHD). Public awareness and knowledge of this condition are crucial for its prevention. This study aimed to assess the knowledge and attitudes regarding these disorders to identify the factors influencing the level of knowledge and to determine how to increase awareness and knowledge of rheumatic fever and rheumatic heart disease. Methods An observational, cross-sectional study was conducted using a self-administered questionnaire distributed to 1211 participants throughout Saudi Arabia using an online platform. The questionnaire collected data on sociodemographic characteristics, levels of awareness, knowledge of rheumatic fever along with rheumatic heart disease, and attitudes toward these diseases. Results A total of 1121 participants met the criteria for the study and completed the questionnaire (77.5% female vs. 22.5% male). The most common age group was 18 to 30 years old (30.5%). The lack of knowledge was most common among the younger age group (≤ 40 years) and males. Knowledge of rheumatic fever was assessed as poor, fair, and good among 80.2%, 16.2%, and 3.6% of participants, respectively. A good knowledge level was more common among the older age group (> 40 years) and those who had four to seven children. Poor, fair, and good attitude levels were expressed by 41.7%, 32.6%, and 25.8% of participants, respectively. Poor attitudes toward rheumatic fever and rheumatic heart disease were more common among those living in the Central region. Conclusion While the attitudes toward rheumatic fever and rheumatic heart disease seem adequate, significant deficiencies in the knowledge and awareness of these disorders were observed in the study population. Insufficient knowledge was primarily seen among young male participants.Entities:
Keywords: attitudes; awareness; knowledge; rheumatic fever; rheumatic heart disease
Year: 2021 PMID: 34987891 PMCID: PMC8716120 DOI: 10.7759/cureus.19997
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Sociodemographic characteristics of the participants (n = 1121)
SAR: Saudi Riyal
| Study Data | n (%) |
| Age group | |
| 18–30 years | 342 (30.5%) |
| 31–40 years | 217 (19.4%) |
| 41–50 years | 309 (27.6%) |
| 51–60 years | 213 (19.0%) |
| > 60 years | 40 (3.5%) |
| Gender | |
| Male | 252 (22.5%) |
| Female | 869 (77.5%) |
| Residence region | |
| Western region | 161 (14.4%) |
| Southern region | 118 (10.5%) |
| Northern region | 176 (15.7%) |
| Eastern region | 220 (19.6%) |
| Central region | 446 (39.8%) |
| Monthly income (SAR) | |
| < 5,000 | 368 (32.8%) |
| 5,000–10,000 | 318 (28.4%) |
| 10,001–20,000 | 363 (34.2%) |
| > 20,000 | 52 (4.6%) |
| Number of children | |
| None | 315 (28.1%) |
| 1–3 children | 312 (27.8%) |
| 4–7 children | 441 (39.4%) |
| > 7 children | 53 (4.7%) |
| Educational level | |
| Secondary | 225 (20.0%) |
| Diploma | 124 (11.1%) |
| University | 705 (62.9%) |
| Postgraduate | 67 (6.0%) |
| Occupational status | |
| Unemployed | 220 (19.6%) |
| Student | 171 (15.3%) |
| Employed | 431 (38.4%) |
| Retired | 245 (21.9%) |
| Free business | 54 (4.8%) |
Awareness and attitudes about rheumatic fever (RF) and its treatment (n = 1121)
* Assessment of attitude toward RF
† Indicates correct answer
| Statement | n (%) |
| Causes of sore throat | |
| Cold drinks | 336 (30.0%) |
| Cold weather | 81 (7.2%) |
| Bacterial or viral infection | 596 (53.1%) |
| All of the above | 11 (1.0%) |
| I don’t know | 97 (8.7%) |
| Person who suggested the appropriate treatment of sore throat * | |
| Personal experience | 141 (12.6%) |
| Friend or family | 99 (8.8%) |
| Doctor † | 881 (78.6%) |
| Treatment method for sore throat * | |
| Doctor’s prescription antibiotics † | 617 (55.0%) |
| Natural herbs | 130 (11.6%) |
| Honey | 134 (12.0%) |
| Gargling with water and salt | 240 (21.4%) |
| Do you think it is important to go to the doctor if your child has a sore throat, or do you just take painkillers? * | |
| Yes, every time † | 371 (33.1%) |
| Yes, sometimes | 671 (59.9%) |
| No, just take painkillers | 79 (7.0%) |
| If no, state the reason (n = 79) | |
| Lack of time | 7 (8.9%) |
| There is no need | 55 (69.6%) |
| Other | 17 (21.5%) |
| Aware of preventive medication for RF | |
| Yes | 115 (10.3%) |
| No | 1006 (89.7%) |
| RF is an inflammatory disease that usually affects children from 5 to 15 years of age when strep throat is not treated with antibiotics for long enough and may cause heart disease. | |
| Yes | 650 (58.0%) |
| No | 173 (15.4%) |
| I don’t know | 298 (26.6%) |
| Now that you have answered this questionnaire, do you support the creation of campaigns to raise awareness about RF? | |
| Yes | 1022 (91.2%) |
| No | 14 (1.2%) |
| Maybe | 85 (7.6%) |
Figure 1Sources for information on rheumatic fever (RF)
Assessment of the knowledge regarding rheumatic fever (RF). (n = 1121)
† Indicates reverse answer, SD: Standard deviation
| Statement | Correct n (%) |
| Untreated RF leads to heart disease | 370 (33.0%) |
| RF is an infectious disease † | 367 (32.7%) |
| Improving housing and living standards is a preventive measure that helps reduce the incidence of RF | 362 (32.3%) |
| Joint pain, inflammation of the heart, rash and involuntary movement disorders are symptoms of RF | 335 (29.9%) |
| There is a relationship between sore throat and RF | 277 (24.7%) |
| Treating sore throat with antibiotics prevents RF | 228 (20.3%) |
| Antibiotics can be used as a preventative treatment for heart disease after RF | 182 (16.2%) |
| The age group between 5 and 15 years is less likely to develop RF † | 139 (12.4%) |
| There is a relationship between bacterial dermatitis and RF | 109 (9.7%) |
| There is a cure for heart disease caused by RF † | 41 (3.7%) |
| Total knowledge score (mean ± SD) | 2.15 ± 2.46 |
| Level of knowledge | |
| Poor | 899 (80.2%) |
| Fair | 182 (16.2%) |
| Good | 40 (3.6%) |
Differences in the level of knowledge across the sociodemographic characteristics of the participants (n = 1121)
§ p-value was calculated using the Chi-squared test
* Significant at p < 0.05
| Factor | Level of knowledge | c2 | p-value § | ||
| Poor n (%) (n = 899) | Fair n (%) (n = 182) | Good n (%) (n = 40) | |||
| Age group | |||||
| ≤ 40 years | 473 (52.6%) | 71 (39.0%) | 15 (37.5%) | 13.740 | 0.001 * |
| > 40 years | 426 (47.4%) | 111 (61.0%) | 25 (62.5%) | ||
| Gender | |||||
| Male | 226 (25.1%) | 21 (11.5%) | 5 (12.5%) | 18.437 | < 0.001 * |
| Female | 673 (74.9%) | 161 (88.5%) | 35 (87.5%) | ||
| Residence region | |||||
| Western region | 129 (14.3%) | 24 (13.2%) | 8 (20.0%) | 18.606 | 0.017 * |
| Southern region | 91 (10.1%) | 21 (11.5%) | 6 (15.0%) | ||
| Northern region | 139 (15.5%) | 32 (17.6%) | 5 (12.5%) | ||
| Eastern region | 197 (21.9%) | 18 (9.9%) | 5 (12.5%) | ||
| Central region | 343 (38.2%) | 87 (47.8%) | 16 (40.0%) | ||
| Monthly income (SAR) | |||||
| < 5,000 | 304 (33.8%) | 48 (26.4%) | 16 (40.0%) | 8.289 | 0.218 |
| 5,000–10,000 | 256 (28.5%) | 55 (30.2%) | 7 (17.5%) | ||
| 11,000–20,000 | 295 (32.8%) | 72 (39.6%) | 16 (40.0%) | ||
| > 20,000 | 44 (4.9%) | 7 (3.8%) | 1 (2.5%) | ||
| Number of children | |||||
| None | 266 (29.6%) | 41 (22.5%) | 8 (20.0%) | 25.132 | < 0.001 * |
| 1–3 children | 267 (29.7%) | 37 (20.3%) | 8 (20.0%) | ||
| 4–7 children | 324 (36.0%) | 93 (51.2%) | 24 (60.0%) | ||
| > 7 children | 42 (4.7%) | 11 (6.0%) | 0 | ||
| Educational level | |||||
| Diploma or secondary | 288 (32.0%) | 52 (28.6%) | 9 (22.5%) | 2.289 | 0.318 |
| University or postgraduate | 611 (68.0%) | 130 (71.4%) | 31 (77.5%) | ||
| Occupational status | |||||
| Unemployed | 367 (40.8%) | 78 (42.9%) | 20 (50.0%) | 3.692 | 0.449 |
| Employed | 393 (43.7%) | 80 (44.0%) | 12 (30.0%) | ||
| Student | 139 (15.5%) | 24 (13.1%) | 8 (20.0%) | ||
Differences in the level of attitudes and practices across the sociodemographic characteristics of the participants (n = 1121)
§ p-value was calculated using the Chi-squared test
* Significant at p < 0.05
| Factor | Level of attitude & practice | c2 | p-value § | ||
| Poor n (%) (n = 467) | Fair n (%) (n = 365) | Good n (%) (n = 289) | |||
| Age group | |||||
| ≤ 40 years | 206 (44.1%) | 185 (50.7%) | 168 (58.1%) | 14.182 | 0.001 * |
| > 40 years | 261 (55.9%) | 180 (49.3%) | 121 (41.9%) | ||
| Gender | |||||
| Male | 100 (21.4%) | 72 (19.7%) | 80 (27.7%) | 6.381 | 0.041 * |
| Female | 367 (78.6%) | 293 (80.3%) | 209 (72.3%) | ||
| Residence region | |||||
| Western region | 85 (18.2%) | 53 (14.5%) | 23 (08.0%) | 52.704 | < 0.001 * |
| Southern region | 51 (10.9%) | 41 (11.3%) | 26 (09.0%) | ||
| Northern region | 41 (08.8%) | 61 (16.7%) | 74 (25.6%) | ||
| Eastern region | 89 (19.1%) | 64 (17.5%) | 67 (23.2%) | ||
| Central region | 201 (43.0%) | 146 (40.0%) | 99 (34.2%) | ||
| Monthly income (SAR) | |||||
| < 5,000 | 146 (31.3%) | 115 (31.5%) | 107 (37.1%) | 7.533 | 0.274 |
| 5,000–10,000 | 136 (29.1%) | 103 (28.2%) | 79 (27.3%) | ||
| 11,000–20,000 | 164 (35.1%) | 134 (36.7%) | 85 (29.4%) | ||
| > 20,000 | 21 (4.5%) | 13 (3.6%) | 18 (6.2%) | ||
| Number of children | |||||
| None | 122 (26.1%) | 100 (27.4%) | 93 (32.2%) | 12.738 | 0.047 * |
| 1–3 children | 126 (27.0%) | 99 (27.2%) | 87 (30.1%) | ||
| 4–7 children | 190 (40.7%) | 156 (42.7%) | 95 (32.9%) | ||
| > 7 children | 29 (6.2%) | 10 (2.7%) | 14 (4.8%) | ||
| Educational level | |||||
| Diploma or secondary | 150 (32.1%) | 103 (28.2%) | 96 (33.2%) | 2.244 | 0.326 |
| University or postgraduate | 317 (67.9%) | 262 (71.8%) | 193 (66.8%) | ||
| Occupational status | |||||
| Unemployed | 213 (45.6%) | 136 (37.3%) | 116 (40.1%) | 6.530 | 0.163 |
| Employed | 189 (40.5%) | 171 (46.8%) | 125 (43.3%) | ||
| Student | 65 (13.9%) | 58 (15.9%) | 48 (16.6%) | ||