| Literature DB >> 28049239 |
Leila Freidoony1,2, Chun Bae Kim1,2,3, Hamid Haghani4, Myung Bae Park1,2, Sei Jin Chang1,5, Sang Ha Kim6, Sang Baek Koh1,5.
Abstract
Antibiotic resistance is steadily rising worldwide. Respiratory tract infections (RTIs) are common indications, mostly imprudent, for antibiotic prescriptions in outpatient setting. In Korea, antibiotic prescription rate for RTIs is still high. As physician visit and antibiotic prescribing are influenced by patient's perceptions and beliefs, we aimed to explore the general public's perspectives and practices toward RTIs and to develop the 'RTI clinical iceberg.' A cross-sectional survey was conducted in Wonju Severance Christian Hospital (WSCH) among 550 adults attending outpatient departments during January 2016. Differences in distributions between groups were examined using two-tailed Pearson χ² test. Using the Andersen's behavioral model as a conceptual framework, we constructed logistic regression models to assess factors associated with physician visit. Of 547 participants with complete questionnaires, 62.9% reported having experienced an RTI in the previous six months; 59.3% visited a physician for the illness, most commonly because the symptoms were severe or prolonged, and approximately 16% of them expected an antibiotic prescription from the visit. Perceptions of symptoms severity, the need factor, most strongly influenced physician visit. Predisposing and enabling factors such as inappropriate expectations for antibiotic for a sore throat or having national health insurance also influenced physician visit. Almost all participants who reported asking for an antibiotic were prescribed one, with a 37.1% non-adherence rate. Conclusively, public education on self-care for RTI symptoms that addresses their main concerns may reduce physician visits. Improving physician-patient relationship and informing patients about the lack of antibiotic benefit for most RTIs may also reduce antibiotic prescriptions.Entities:
Keywords: Adherence; Antibiotics; Attitudes; Expectations; Physician Visit; Practices; Respiratory Tract Infections; South Korea
Mesh:
Substances:
Year: 2017 PMID: 28049239 PMCID: PMC5219994 DOI: 10.3346/jkms.2017.32.2.278
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Fig. 1The RTI journey of patients: their practices, reasons for physician visit, expectations, beliefs, and attitudes.
RTI = respiratory tract infection, WSCH = Wonju Severance Christian Hospital, OTC = over-the-counter.
Fig. 2The respiratory tract infection (RTI) clinical iceberg.
*The denominator for all percentages is 344.
Characteristics of study participants with an RTI in the past six months by physician visit; total and stratified by sex
| Characteristics | Physician visit | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | Female | |||||||||||
| Did not visit (n = 140) | Visited (n = 204) | Total (n = 344) | Did not visit (n = 53) | Visited (n = 80) | Total (n = 133) | Did not visit (n = 87) | Visited (n = 124) | Total (n = 211) | ||||
| Sex | 0.822 | NA | NA | |||||||||
| Male | 53 (39.8) | 80 (60.2) | 133 (38.7) | |||||||||
| Female | 87 (41.2) | 124 (58.8) | 211 (61.3) | |||||||||
| Age, yr | 0.388 | 0.601 | 0.023 | |||||||||
| ≤ 24 | 13 (56.5) | 10 (43.5) | 23 (6.7) | 3 (27.3) | 8 (72.7) | 11 (8.3) | 10 (83.3) | 2 (16.7) | 12 (5.7) | |||
| 25–39 | 25 (41.0) | 36 (59.0) | 61 (17.7) | 10 (50.0) | 10 (50.0) | 20 (15.0) | 15 (36.6) | 26 (63.4) | 41 (19.4) | |||
| 40–59 | 54 (37.5) | 90 (62.5) | 144 (41.9) | 16 (36.4) | 28 (63.6) | 44 (33.1) | 38 (38.0) | 62 (62.0) | 100 (47.4) | |||
| ≥ 60 | 48 (41.4) | 68 (58.6) | 116 (33.7) | 24 (41.4) | 34 (58.6) | 58 (43.6) | 24 (41.4) | 34 (58.6) | 58 (27.5) | |||
| Education level | 0.746 | 0.864 | 0.417 | |||||||||
| < High school | 34 (38.6) | 54 (61.4) | 88 (25.6) | 14 (40.0) | 21 (60.0) | 35 (26.3) | 20 (37.7) | 33 (62.3) | 53 (25.1) | |||
| High school | 55 (43.3) | 72 (56.7) | 127 (36.9) | 17 (37.0) | 29 (63.0) | 46 (34.6) | 38 (46.9) | 43 (53.1) | 81 (38.4) | |||
| University | 51 (39.5) | 78 (60.5) | 129 (37.5) | 22 (42.3) | 30 (57.7) | 52 (39.1) | 29 (37.7) | 48 (62.3) | 77 (36.5) | |||
| Marital status | 0.071 | 0.386 | 0.101 | |||||||||
| Married | 104 (38.2) | 168 (61.8) | 272 (79.1) | 39 (37.9) | 64 (62.1) | 103 (77.4) | 65 (38.5) | 104 (61.5) | 169 (80.1) | |||
| Others | 36 (50.0) | 36 (50.0) | 72 (20.9) | 14 (46.7) | 16 (53.3) | 30 (22.6) | 22 (52.4) | 20 (47.6) | 42 (19.9) | |||
| Occupation | 0.071 | 0.792 | 0.036 | |||||||||
| Employed | 72 (38.5) | 115 (61.5) | 187 (54.4) | 34 (39.1) | 53 (60.9) | 87 (65.4) | 38 (38.0) | 62 (62.0) | 100 (47.4) | |||
| Unemployed/retired/housewife/man | 55 (40.1) | 82 (59.9) | 137 (39.8) | 14 (38.9) | 22 (61.1) | 36 (27.1) | 41 (40.6) | 60 (59.4) | 101 (47.9) | |||
| Student/other | 13 (65.0) | 7 (35.0) | 20 (5.8) | 5 (50.0) | 5 (50.0) | 10 (7.5) | 8 (80.0) | 2 (20.0) | 10 (4.7) | |||
| Family income* | 0.952 | 0.779 | 0.768 | |||||||||
| ≤ 100 | 16 (40.0) | 24 (60.0) | 40 (11.6) | 6 (37.5) | 10 (62.5) | 16 (12.0) | 10 (41.7) | 14 (58.3) | 24 (11.4) | |||
| 100–200 | 19 (38.0) | 31 (62.0) | 50 (14.5) | 11 (39.3) | 17 (60.7) | 28 (21.1) | 8 (36.4) | 14 (63.6) | 22 (10.4) | |||
| 200–300 | 31 (42.5) | 42 (57.5) | 73 (21.2) | 13 (50.0) | 13 (50.0) | 26 (19.6) | 18 (38.3) | 29 (61.7) | 47 (22.3) | |||
| 300–400 | 32 (43.8) | 41 (56.2) | 73 (21.2) | 7 (31.8) | 15 (68.2) | 22 (16.5) | 25 (49.0) | 26 (51.0) | 51 (24.2) | |||
| ≥ 400 | 42 (38.9) | 66 (61.1) | 108 (31.4) | 16 (39.0) | 25 (61.0) | 41 (30.8) | 26 (38.8) | 41 (61.2) | 67 (31.8) | |||
| Insurance type | 0.141 | 0.545 | 0.164 | |||||||||
| NHI | 56 (36.4) | 98 (63.6) | 154 (44.8) | 23 (37.1) | 39 (62.9) | 62 (46.6) | 33 (35.9) | 59 (64.1) | 92 (43.6) | |||
| Private/Medicaid | 84 (44.2) | 106 (55.8) | 190 (55.2) | 30 (39.8) | 41 (57.7) | 71 (53.4) | 54 (45.4) | 65 (54.6) | 119 (56.4) | |||
| Self-rated health | 0.733 | 0.970 | 0.475 | |||||||||
| Good | 46 (38.7) | 73 (61.3) | 119 (34.6) | 18 (40.9) | 26 (59.1) | 44 (33.1) | 28 (37.3) | 47 (62.7) | 75 (35.5) | |||
| Fair | 74 (42.8) | 99 (57.2) | 173 (50.3) | 28 (38.9) | 44 (61.1) | 72 (54.1) | 46 (45.5) | 55 (54.5) | 101 (47.9) | |||
| Poor | 20 (38.5) | 32 (61.5) | 52 (15.1) | 7 (41.2) | 10 (58.8) | 17 (12.8) | 13 (37.1) | 22 (62.9) | 35 (16.6) | |||
| Chronic disease | 0.860 | 0.749 | 0.942 | |||||||||
| Yes | 57 (40.1) | 83 (41.1) | 142 (41.3) | 25 (38.5) | 40 (61.5) | 65 (48.9) | 32 (41.6) | 45 (58.4) | 77 (36.5) | |||
| No | 83 (59.9) | 119 (58.9) | 202 (58.7) | 28 (41.2) | 40 (58.8) | 68 (51.1) | 55 (41.0) | 79 (59.0) | 134 63.5) | |||
Values are presented as number (%).
RTI = respiratory tract infection, NHI = National Health Insurance.
*Income quintiles adopted from Community Health Survey 2013 (24) for monthly average; unit is 10,000 KRW.
Relationship between perceptions and beliefs of participants with an RTI in the past six months and physician visit
| Characteristics | Physician visit | |||
|---|---|---|---|---|
| Did not visit (n = 140) | Visited (n = 204) | Total (n = 344) | ||
| Symptoms severity | < 0.001 | |||
| Severe | 43 (27.0) | 116 (73.0) | 159 (46.2) | |
| Moderate | 75 (48.1) | 81 (51.9) | 156 (45.3) | |
| Mild | 22 (75.9) | 7 (24.1) | 29 (8.4) | |
| Antibiotic effectiveness | 0.240 | |||
| Cough/runny nose with sputum | 115 (39.4) | 177 (60.6) | 292 (84.9) | |
| Other symptoms | 25 (48.1) | 27 (51.9) | 52 (15.1) | |
| Antibiotic side effects | 0.157 | |||
| Not or a bit of a problem | 74 (44.6) | 92 (55.4) | 166 (48.3) | |
| Moderate or major problem | 66 (37.1) | 112 (62.9) | 178 (51.7) | |
Values are presented as number (%).
RTI = respiratory tract infection.
Logistic regression analyses on visiting a physician for the most recent RTI using the Andersen's model (n = 344)
| Variables | Category | Crude OR (95% CI)* | AOR (95% CI)† |
|---|---|---|---|
| Predisposing factors | |||
| Socio-demographics | |||
| Age, yr | ≤ 24 | 0.54 (0.22–1.34) | 1.03 (0.28–3.26) |
| 25–39 | 1.02 (0.54–1.91) | 1.00 (0.44–1.92) | |
| 40–59 | 1.18 (0.71–1.94) | 1.24 (0.69–2.25) | |
| ≥ 60 | 1.00 | 1.00 | |
| Marital status | Married | 0.62 (0.37–1.04)‡ | 0.97 (0.47–1.97) |
| Others | 1.00 | 1.00 | |
| Occupation | Employed | 2.97 (1.13–7.79) | 2.75 (0.86–9.0.2)‡ |
| Unemployed/retired/houseman/wife | 2.77 (1.04–7.38) | 2.53 (0.73–8.03) | |
| Student/other | 1.00 | 1.00 | |
| Knowledge and attitude | |||
| Common colds are cured more quickly with antibiotics | Incorrect answer | 1.56 (0.99–2.48) | 1.43 (0.85–2.40) |
| Correct answer | 1.00 | 1.00 | |
| Antibiotics side effects | Not or a bit of a problem | 0.73 (0.48–1.13) | 0.73 (0.45–1.17) |
| Moderate or major problem | 1.00 | 1.00 | |
| Expect antibiotic if visit a physician for sore throat | Yes | 1.79 (1.00–3.20) | 2.20 (1.15–4.21)§ |
| No | 1.00 | 1.00 | |
| Enabling factors | |||
| Health insurance type | NHI | 1.39 (0.90–2.14) | 1.78 (1.06–2.90)§ |
| Private/Medicaid | 1.00 | 1.00 | |
| Need factors | |||
| Severity of symptoms | Severe | 8.48 (3.38–21.27) | 9.88 (3.66–25.75)‖ |
| Moderate | 3.39 (1.37–8.40) | 3.53 (1.32–8.87)§ | |
| Mild | 1.00 | 1.00 | |
| Hosmer and Lemeshow test | - | Non-significant ( | |
| Overall prediction, % | - | 69.3 | |
| Nagelkerke pseudo-R2 | - | 0.189 |
RTI = respiratory tract infection, OR = odds ratio, CI = confidence interval, AOR = adjusted odds ratio, NHI = National Health Insurance.
*This column shows ORs for those variables significant at P < 0.2 in crude models; †Adjusted for all significant variables from crude models simultaneously; ‡P < 0.1; §P < 0.05; ‖P < 0.001.
Fig. 3Practices reported by all 547 participants regarding antibiotic use in the past year.
WSCH = Wonju Severance Christian Hospital, CI = confidence interval.