Erratum: Institutional and individual factors influencing urinary tract infections and pressure injuries in Korean nursing home residents: A multilevel analysis of National Health Insurance Service Data
Article information
J Korean Gerontol Nurs. 2026;28(1):122-123
1Associate Research Fellow, Health Insurance Research Institute, National Health Insurance Service, Wonju, Korea
2Research Fellow, Health Insurance Research Institute, National Health Insurance Service, Wonju, Korea
Corresponding author: Jung Suk Lee Health Insurance Research Institute, National Health Insurance Service, 32 Geongang-ro, Wonju 26464, Korea TEL: +82-33-736-2816 E-mail:
fjslee@nhis.or.kr
Received 2026 January 13; Accepted 2026 January 13.
J Korean Gerontol Nurs Vol. 27 No. 4, 349-363
https://doi.org/10.17079/jkgn.2025.00185
Some of the values in Table 6 of the published paper have been modified. The OR and 95% CI in the Female row, Model 1 column are replaced from 1.16, 1.12~1.20 to 0.73, 0.69~0.78. The OR and 95% CI in the Intercept row, Model 1 column are replaced from 0.03, 0.39~0.50 to 0.02, 0.01~0.03 (indicated in bold).
The revised is below.
Multivariate Models With Institutional-Level Variables Associated With Pressure Injury
We apologize for any confusion or inconvenience this may have caused and appreciate your understanding.
Article information Continued
© 2026 Korean Gerontological Nursing Society
Table 6.
Multivariate Models With Institutional-Level Variables Associated With Pressure Injury
|
Model 1*
|
Model 2†
|
| OR |
95% CI |
p-value |
OR |
95% CI |
p-value |
| Individual characteristics |
|
|
|
|
|
|
| Female |
0.73 |
0.69~0.78 |
<.001 |
0.73 |
0.69~0.78 |
<.001 |
| Age |
1.00 |
1.00~1.00 |
.55 |
1.01 |
1.00~1.01 |
<.001 |
| Economic eligibility (ref: NBLS) |
|
|
|
|
|
|
| Medical aid |
1.02 |
0.90~1.16 |
.73 |
1.12 |
0.91~1.38 |
.30 |
| Reduced |
0.82 |
0.79~0.86 |
<.001 |
0.71 |
0.66~0.76 |
<.001 |
| General |
0.92 |
0.89~0.95 |
<.001 |
0.89 |
0.84~0.95 |
<.001 |
| LTC approval grade (ref: grade 5)‡
|
|
|
|
|
|
|
| Grade 4 |
1.17 |
1.02~1.36 |
.03 |
1.09 |
0.77~1.53 |
.63 |
| Grade 3 |
1.67 |
1.44~1.92 |
<.001 |
2.05 |
1.47~2.86 |
<.001 |
| Grade 2 |
2.36 |
2.04~2.72 |
<.001 |
4.27 |
3.06~5.97 |
<.001 |
| Grade 1 |
3.02 |
2.61~3.50 |
<.001 |
8.34 |
5.96~11.68 |
<.001 |
| CCI score |
1.09 |
1.07~1.11 |
<.001 |
1.09 |
1.05~1.12 |
<.001 |
| Months of stay |
1.03 |
1.03~1.03 |
<.001 |
1.00 |
0.99~1.00 |
.30 |
| Institutional characteristics |
|
|
|
|
|
|
| Ownership (ref. individual+others) |
|
|
|
|
|
|
| Corporate |
|
|
|
0.85 |
0.78~0.92 |
<.001 |
| Public |
|
|
|
0.80 |
0.67~0.97 |
.02 |
| Location (ref: rural) |
|
|
|
|
|
|
| Mid-sized city |
|
|
|
1.00 |
0.91~1.10 |
.97 |
| Metropolitan city |
|
|
|
1.09 |
0.98~1.21 |
.10 |
| Number of licensed beds (ref: <30 beds) |
|
|
|
|
|
|
| 30~99 beds |
|
|
|
1.04 |
0.96~1.13 |
.31 |
| ≥100 beds |
|
|
|
0.97 |
0.84~1.12 |
.68 |
| Portion of residents with LTC grade 1 or 2 |
|
|
|
0.79 |
0.64~0.98 |
.03 |
| RN staffing (yes) |
|
|
|
1.00 |
0.92~1.09 |
.97 |
| Contracted physician visits |
|
|
|
1.01 |
0.99~1.02 |
.24 |
| Number of affiliated institutions |
|
|
|
1.01 |
0.94~1.09 |
.71 |
| Additional staffing (yes) |
|
|
|
1.06 |
0.99~1.15 |
.10 |
| LTCF evaluation rating (ref: E)§
|
|
|
|
|
|
|
| D |
|
|
|
0.98 |
0.87~1.10 |
.72 |
| C |
|
|
|
0.92 |
0.82~1.03 |
.13 |
| B |
|
|
|
0.86 |
0.77~0.97 |
.02 |
| A |
|
|
|
0.84 |
0.74~0.97 |
.01 |
| LTCF evaluation indicator #35 (Pressure Injury Prevention) |
|
|
|
0.88 |
0.82~0.95 |
<.001 |
| Intercept |
0.02 |
0.01~0.03 |
<.001 |
0.02 |
0.01~0.03 |
<.001 |
| Random effect |
|
|
|
|
|
|
| Institutional level |
0.12 |
0.11~0.13 |
- |
0.40 |
0.36~0.45 |
- |
| ICC (%) |
0.12 |
0.11~0.13 |
- |
0.11 |
0.10~0.12 |
- |
| LR test |
4,600.73 |
|
<.001 |
1,019.67 |
|
<.001 |
| AIC |
55,908.52 |
|
|
55,850.46 |
|
|
| BIC |
56,034.81 |
|
|
56,132.17 |
|
|