Table 3.
Regression analysis results for the association between type of health insurance and utilization of hypertension-related inpatient services among patients with hypertension
| Hospital admission | Length of stay | Hospitalization costs | |
|---|---|---|---|
| Odds ratio [95% CI] | Factor change a [95% CI] | Factor change a [95% CI] | |
| Type of insurance | |||
| Medical Aid Class Ib | 1.710*** | 1.305*** | 1.412*** |
| [1.632-1.792] | [1.243-1.370] | [1.289-1.545] | |
| Medical Aid Class IIc | 1.413*** | 1.419*** | 1.103 |
| [1.271-1.570] | [1.263-1.594] | [0.907-1.340] | |
| Health Insurance [ref] | - | - | - |
| Age | 1.029*** | 1.014*** | 1.037*** |
| [1.028-1.030] | [1.013-1.016] | [1.035-1.040] | |
| Gender | |||
| Male | 0.999 | 0.992 | 0.893** |
| [0.969-1.030] | [0.959-1.027] | [0.839-0.951] | |
| Female [ref] | - | - | - |
| Total costs for insurance-covered services (all causes) d | 1.013*** | 1.012*** | 1.024*** |
| [1.012-1.014] | [1.011-1.013] | [1.022-1.027] | |
| Total No. outpatient visits (all causes) | 0.981*** | 0.970*** | 0.988* |
| [0.975-0.986] | [0.966-0.974] | [0.978-0.998] | |
| Elixhauser comorbidity index | 1.577*** | 1.074*** | 1.784*** |
| [1.563-1.592] | [1.064-1.084] | [1.749-1.822] | |
| Ownership of institution | |||
| Non-government owned | 1.004 | 0.891 | 1.197* |
| [0.910-1.107] | [0.805-0.986] | [1.013-1.416] | |
| Government owned [ref] | - | - | - |
| Type of institution | |||
| Tertiary hospital | 2.117*** | 0.544*** | 1.240** |
| [2.005-2.235] | [0.505-0.585] | [1.091-1.409] | |
| General hospital | 1.923*** | 0.713*** | 1.065 |
| [1.844-2.006] | [0.670-0.758] | [0.949-1.194] | |
| Hospitale [ref] | 2.240*** | - | - |
| [2.126-2.360] | |||
| Long-term care facility | 5.213*** | 2.919*** | 2. 474*** |
| [4.580-5.933] | [2.583-3.300] | [2.024-3.022] | |
| Public health center | 1.260*** | 0.696*** | 0.880 |
| [1.130-1.406] | [0.616-0.786] | [0.715-1.084] | |
| Clinicf [ref] | - | 0.673*** | 0.549*** |
| [0.636-0.712] | [0.496-0.607] | ||
| Location of institution | |||
| Six major cities | 1.134*** | 1.358*** | 0.992 |
| [1.085-1.185] | [1.293-1.426] | [0.907-1.085] | |
| Nine provinces | 1.248*** | 1.145*** | 1.046 |
| [1.200-1.298] | [1.096-1.196] | [0.968-1.131] | |
| Seoul [ref] | - | - | - |
| c -statistic | 0.778 | ||
| Dispersion parameter | 1.481 | ||
| P -value for LR test g | < 0.0001 | ||
| Vuongstatistic h | 93.73*** |
All inpatient services were hypertension-related, with a primary, secondary, tertiary, or quaternary diagnosis of hypertension; Robust standard errors in parenthesis; All covariates at index-date otherwise specified; aExp (coefficient estimate) = factor change in expected hospitalization costs for a unit increase in a covariate; bBeneficiaries of Medical Aid who are not able to work at all; cBeneficiaries of Medical Aid who are able to work; dInsurance-covered medical costs during the 6-month baseline period in 2006 Korean won (one US dollar approximately equals 1,200 Korean won); eHospital used as a reference for length-of-stay and hospitalization costs variable; fClinic used as a reference for the hospital admission variable; gLikelihood Ratio (LR) test comparing negative binomial model against Poisson model; hComparing zero-inflated negative binomial model against negative binomial model; * p <0.05; ** p <0.001; *** p <0.0001; SE = standard error; 95% CI =95% confidence interval.