Primary Care Comprehensiveness Can Reduce Emergency Department Visits and Hospitalization in People with Hypertension in South Korea
Abstract
1. Introduction
2. Materials and Methods
2.1. Data Source
2.2. Sample Selection Process
2.3. Measurement
2.3.1. Sociodemographic Variables
2.3.2. Self-Rated Health Variable
2.3.3. Charlson Comorbidity Index
2.3.4. Variable of Interest
2.4. Statistical Analysis
3. Results
3.1. Sociodemographic Characteristics of Adults with Essential Hypertension by Types of Physicians as a Usual Source of Care
3.2. Adjusted ORs of Types of Physician as a USC for an Experience of ED Visits Within a Year
3.3. Adjusted ORs of Types of Physician as a USC for an Experience of Hospital Admission within a Year
4. Discussion
5. Conclusions
Author Contributions
Conflicts of Interest
References
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| Disease | Diagnostic Codes Compatible to the ICD-10 Coding in the KHP Data | CCI Score |
|---|---|---|
| Diabetes mellitus | E10–E14 | 1 |
| Myocardial infarct | I21, I22, I25 | 1 |
| Congestive heart failure | I50 | 1 |
| Peripheral vascular disease | I70–I79 | 1 |
| Cerebrovascular disease | I60–I69 | 1 |
| Dementia | F03, G30 | 1 |
| Chronic pulmonary disease | J41, J42, J43, J44, J45, J47, J64 | 1 |
| Rheumatic or connective tissue disease | M30–M36, M06 | 1 |
| Gastric or peptic ulcer | K25, K26 | 1 |
| Mild liver disease | B18, B19, K70–K77 | 1 |
| Hemiplegia or paraplegia | G80, G81, G82 | 2 |
| Moderate or severe renal disease | N17–N19 | 2 |
| Any malignancy, including lymphoma and leukemia, except basal cell cancer of skin | C00–C41, C43, C45–C72, C74, C75, C81–C96 | 2 |
| Metastatic solid tumor | C76–C80 | 6 |
| Acquired immune deficiency syndrome | B20-B24 | 6 |
| Variables | Total | Not Having a Usual Physician | Comprehensive CCPs | Non-Comprehensive CCPs | Hospital Specialists | p | |
|---|---|---|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | n (%) | |||
| Age | 18–49 | 224 (12.1) | 144 (12.7) | 45 (11.4) | 15 (12.9) | 20 (9.6) | 0.370 |
| 50–64 | 756 (37.1) | 457 (36.0) | 155 (36.8) | 52 (44.8) | 92 (39.1) | ||
| 65– | 1647 (50.8) | 1024 (51.3) | 352 (51.9) | 83 (42.3) | 188 (51.3) | ||
| Sex | Male | 1166 (46.8) | 728 (47.2) | 226 (43.5) | 64 (45.0) | 148 (52.0) | 0.201 |
| Female | 1461 (53.2) | 897 (52.8) | 326 (56.5) | 86 (55.0) | 152 (48.0) | ||
| Education (year) | –6 | 1196 (38.9) | 759 (40.3) | 249 (38.1) | 63 (34.9) | 125 (35.0) | 0.132 |
| 7–12 | 1097 (45.0) | 670 (43.9) | 240 (48.4) | 59 (42.5) | 128 (46.4) | ||
| 13– | 334 (16.1) | 196 (15.8) | 63 (13.5) | 28 (22.6) | 47 (18.6) | ||
| Household income (quintile) (missing, 1) | 1st (the lowest) | 765 (24.2) | 460 (23.4) | 199 (29.9) | 32 (18.9) | 74 (21.3) | 0.225 |
| 2nd | 599 (20.9) | 378 (21.1) | 116 (19.6) | 38 (22.3) | 67 (21.7) | ||
| 3rd | 507 (19.7) | 329 (20.4) | 91 (18.1) | 32 (21.6) | 55 (17.6) | ||
| 4th | 410 (17.7) | 242 (17.0) | 86 (18.2) | 25 (17.5) | 57 (20.7) | ||
| 5th (the highest) | 345 (17.5) | 216 (18.1) | 60 (14.2) | 22 (19.7) | 47 (18.7) | ||
| Marital status | Married | 1891 (74.0) | 1175 (74.0) | 389 (72.8) | 109 (77.4) | 218 (74.7) | 0.767 |
| Others 1 | 736 (26.0) | 450 (26.0) | 163 (27.2) | 41 (22.6) | 82 (25.3) | ||
| Health coverage (missing, 1) | Employed | 1696 (64.7) | 1055 (65.8) | 362 (65.9) | 94 (58.0) | 185 (60.1) | 0.029 |
| Self-employed | 690 (26.6) | 433 (26.1) | 137 (25.0) | 46 (36.2) | 74 (26.7) | ||
| Medical Aid or others 2 | 240 (8.7) | 136 (8.1) | 53 (9.1) | 10 (5.8) | 41 (13.2) | ||
| Self-rated health (missing, 99) | Good | 687 (28.0) | 443 (29.5) | 150 (29.2) | 31 (22.4) | 63 (21.8) | 0.018 |
| Moderate | 1119 (45.7) | 671 (45.2) | 252 (46.5) | 77 (52.7) | 119 (43.0) | ||
| Poor | 722 (26.3) | 438 (25.4) | 135 (24.3) | 39 (24.9) | 110 (35.2) | ||
| CCI score | 0 | 1445 (57.5) | 937 (59.7) | 320 (61.5) | 91 (63.2) | 97 (35.7) | <0.001 |
| 1 | 763 (28.1) | 449 (27.0) | 168 (28.3) | 43 (25.7) | 103 (34.5) | ||
| 2 or higher | 419 (14.4) | 239 (13.3) | 64 (10.2) | 16 (11.1) | 100 (29.8) | ||
| ED visit, yearly | Yes | 289 (10.6) | 188 (11.1) | 43 (7.1) | 14 (11.5) | 44 (13.9) | 0.033 |
| No | 2338 (89.4) | 1437 (88.9) | 509 (92.9) | 136 (88.5) | 256 (86.1) | ||
| Admission, yearly | Yes | 501 (17.2) | 307 (16.9) | 82 (12.5) | 27 (18.7) | 85 (26.7) | <0.001 |
| No | 2126 (82.8) | 1318 (83.1) | 470 (87.5) | 123 (81.3) | 215 (73.3) | ||
| Total | 2627 (100) | 1625 (100) | 552 (100) | 150 (100) | 300 (100) | ||
| Variables | Model 1 | Model 2 | |||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI | p | OR | 95% CI | p | ||
| Age | 18–49 | 1 | 1 | ||||
| 50–64 | 0.64 | 0.39–1.04 | 0.073 | 0.62 | 0.37–1.02 | 0.057 | |
| 65– | 0.81 | 0.49–1.34 | 0.413 | 0.73 | 0.44–1.23 | 0.242 | |
| Sex | Male | 1 | 1 | ||||
| Female | 0.95 | 0.68–1.32 | 0.749 | 0.92 | 0.66–1.29 | 0.623 | |
| Education (year) | –6 | 1 | 1 | ||||
| 7–12 | 0.92 | 0.64–1.32 | 0.642 | 0.99 | 0.68–1.43 | 0.942 | |
| 13– | 0.92 | 0.54–1.59 | 0.771 | 1.07 | 0.62–1.85 | 0.810 | |
| Household income (quintile) (missing, 1) | 1st (the lowest) | 1 | 1 | ||||
| 2nd | 1.13 | 0.74–1.72 | 0.580 | 1.12 | 0.73–1.72 | 0.600 | |
| 3rd | 0.85 | 0.53–1.39 | 0.523 | 0.92 | 0.56–1.50 | 0.723 | |
| 4th | 1.27 | 0.79–2.06 | 0.326 | 1.36 | 0.83–2.21 | 0.222 | |
| 5th (the highest) | 0.73 | 0.41–1.28 | 0.269 | 0.75 | 0.42–1.33 | 0.328 | |
| Marital status | Married | 1 | 1 | ||||
| Others | 1.32 | 0.93–1.87 | 0.118 | 1.31 | 0.92–1.86 | 0.132 | |
| Health coverage (missing, 1) | Employed | 1 | 1 | ||||
| Self-employed | 0.98 | 0.69–1.37 | 0.890 | 0.97 | 0.69–1.37 | 0.856 | |
| Medical Aid or others 1 | 1.70 | 1.02–2.85 | 0.044 | 1.36 | 0.80–2.31 | 0.261 | |
| Self-rated health (missing, 99) | Poor | 1 | |||||
| Moderate | 0.52 | 0.37–0.73 | < 0.001 | ||||
| Good | 0.40 | 0.27–0.61 | < 0.001 | ||||
| Charlson Comorbidity Index score | 0 | 1 | |||||
| 1 | 0.85 | 0.59–1.21 | 0.362 | ||||
| 2 or higher | 1.48 | 1.00–2.20 | 0.052 | ||||
| Types of physicians as a USC | Not having a usual physician | 1 | 1 | ||||
| CCPs, comprehensive | 0.59 | 0.39–0.89 | 0.013 | 0.61 | 0.40–0.93 | 0.023 | |
| CCPs, non-comprehensive | 1.09 | 0.61–1.95 | 0.780 | 1.08 | 0.60–1.95 | 0.803 | |
| Hospital specialists | 1.26 | 0.83–1.91 | 0.275 | 1.11 | 0.73–1.71 | 0.623 | |
| Hosmer and Lemeshow goodness-of-fit test | p = 0.834 | p = 0.183 | |||||
| Concordance index | C = 0.606 | C = 0.650 | |||||
| Variables | Model 1 | Model 2 | |||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI | p | OR | 95% CI | p | ||
| Age | 18–49 | 1 | 1 | ||||
| 50–64 | 1.73 | 1.01–2.99 | 0.048 | 1.64 | 0.95–2.83 | 0.078 | |
| 65– | 2.54 | 1.47–4.40 | 0.001 | 2.23 | 1.28–3.89 | 0.005 | |
| Sex | Male | 1 | 1 | ||||
| Female | 0.86 | 0.66–1.13 | 0.277 | 0.84 | 0.64–1.11 | 0.227 | |
| Education (year) | –6 | 1 | 1 | ||||
| 7–12 | 0.88 | 0.66–1.18 | 0.383 | 0.93 | 0.70–1.26 | 0.650 | |
| 13– | 0.55 | 0.34–0.89 | 0.015 | 0.60 | 0.37–0.98 | 0.041 | |
| Household income (quintile) (missing, 1) | 1st (the lowest) | 1 | 1 | ||||
| 2nd | 0.79 | 0.56–1.12 | 0.187 | 0.78 | 0.55–1.10 | 0.153 | |
| 3rd | 0.76 | 0.52–1.11 | 0.157 | 0.79 | 0.54–1.16 | 0.232 | |
| 4th | 0.82 | 0.55–1.23 | 0.335 | 0.85 | 0.57–1.28 | 0.441 | |
| 5th (the highest) | 0.71 | 0.46–1.11 | 0.138 | 0.75 | 0.48–1.17 | 0.203 | |
| Marital status | Married | 1 | 1 | ||||
| Others | 0.98 | 0.73–1.32 | 0.888 | 0.98 | 0.73–1.33 | 0.914 | |
| Health coverage (missing, 1) | Employed | 1 | 1 | ||||
| Self-employed | 0.84 | 0.63–1.11 | 0.221 | 0.81 | 0.60–1.08 | 0.143 | |
| Medical Aid or others 1 | 1.41 | 0.91–2.18 | 0.130 | 1.11 | 0.71–1.75 | 0.640 | |
| Self-rated health (missing, 99) | Poor | 1 | |||||
| Moderate | 0.64 | 0.48–0.84 | 0.001 | ||||
| Good | 0.49 | 0.35–0.68 | < 0.001 | ||||
| Charlson Comorbidity Index score | 0 | 1 | |||||
| 1 | 1.41 | 1.07–1.87 | 0.015 | ||||
| 2 or higher | 1.81 | 1.30–2.53 | < 0.001 | ||||
| Types of physicians as a USC | Not having a usual physician | 1 | 1 | ||||
| CCPs, comprehensive | 0.66 | 0.48–0.92 | 0.015 | 0.69 | 0.49–0.96 | 0.027 | |
| CCPs, non-comprehensive | 1.26 | 0.78–2.05 | 0.342 | 1.28 | 0.79–2.09 | 0.316 | |
| Hospital specialists | 1.80 | 1.29–2.51 | 0.001 | 1.52 | 1.07–2.14 | 0.018 | |
| Hosmer and Lemeshow goodness-of-fit test | p = 0.076 | p = 0.220 | |||||
| Concordance index | C = 0.622 | C = 0.663 | |||||
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Sung, N.-J.; Choi, Y.-J.; Lee, J.-H. Primary Care Comprehensiveness Can Reduce Emergency Department Visits and Hospitalization in People with Hypertension in South Korea. Int. J. Environ. Res. Public Health 2018, 15, 272. https://doi.org/10.3390/ijerph15020272
Sung N-J, Choi Y-J, Lee J-H. Primary Care Comprehensiveness Can Reduce Emergency Department Visits and Hospitalization in People with Hypertension in South Korea. International Journal of Environmental Research and Public Health. 2018; 15(2):272. https://doi.org/10.3390/ijerph15020272
Chicago/Turabian StyleSung, Nak-Jin, Yong-Jun Choi, and Jae-Ho Lee. 2018. "Primary Care Comprehensiveness Can Reduce Emergency Department Visits and Hospitalization in People with Hypertension in South Korea" International Journal of Environmental Research and Public Health 15, no. 2: 272. https://doi.org/10.3390/ijerph15020272
APA StyleSung, N.-J., Choi, Y.-J., & Lee, J.-H. (2018). Primary Care Comprehensiveness Can Reduce Emergency Department Visits and Hospitalization in People with Hypertension in South Korea. International Journal of Environmental Research and Public Health, 15(2), 272. https://doi.org/10.3390/ijerph15020272

