| Literature DB >> 19698130 |
Joaquín F Mould-Quevedo1, Carmen García-Peña, Iris Contreras-Hernández, Teresa Juárez-Cedillo, Claudia Espinel-Bermúdez, Gabriela Morales-Cisneros, Sergio Sánchez-García.
Abstract
BACKGROUND: Ageing of Mexican population implies greater demand of hospital services. Nevertheless, the available resources are used inadequately. In this study, the direct medical costs associated with the appropriateness of elderly populations hospital stay are estimated.Entities:
Mesh:
Year: 2009 PMID: 19698130 PMCID: PMC2744673 DOI: 10.1186/1472-6963-9-151
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Appropriate of admission and patient days.
| 724 (100) | 3891 (100) | 5.1 (3.4 – 5.9) | |
| Female | 376 (51.9) | 2118 (54.4) | 5.0 (3.2 – 5.5) |
| Male | 348 (48.1) | 1773 (45.6) | 5.2 (3–5 – 6.1) |
| 60–64 | 87 (12.0) | 446 (11.5) | 5.2 (3.3 – 5.8) |
| 65–69 | 117 (16.2) | 590 (15.2) | 5.6 (3.8 – 6.1) |
| 70–74 | 137 (18.9) | 635 (16.3) | 6.3 (4.6 – 6.9) |
| 75–79 | 137 (18.9) | 719 (18.5) | 7.0 (5.6 – 7.4) |
| 80–84 | 119 (16.4) | 717 (18.4) | 2.4 (1.3 – 3.2) |
| ≥ 85 | 127 (17.5) | 784 (20.1) | 4.5 (2.5 – 5.4) |
| Surgery | 126 (17.4) | 438 (11.3) | 8.4 (6.5 – 9.2) |
| Internal medicine | 598 (82.6) | 3453 (88.7) | 4.7 (4.1 – 5.3) |
| Yes | 713 (98.5) | 3856 (99.1) | 5.0 (4.3 – 6.4) |
| No | 11 (1.5) | 35 (0.9) | 17.1 (6.3 – 23.2) |
| 1–2 | 213 (29.4) | 320 (8.2) | 2.2 (1.4 – 2.8) |
| 3–4 | 200 (27.6) | 687 (17.7) | 5.7 (4.8 – 6.5) |
| 5–6 | 131 (18.1) | 717 (18.4) | 4.0 (3.4 – 4.4) |
| 7–8 | 69 (9.5) | 505 (13.0) | 4.0 (3.2 – 4.7) |
| 9–10 | 33 (4.6) | 313 (8.0) | 4.8 (4.0 – 5.5) |
| ≥ 11 | 78 (10.8) | 1349 (34.7) | 6.5 (6.1 – 6.9) |
| 0 | 125 (17.3) | 488 (12.5) | 5.3 (4.7 – 5.8) |
| 1 | 71 (9.8) | 385 (9.9) | 9.4 (8.1 – 11.3) |
| 2 | 169 (23.3) | 938 (24.1) | 5.1 (4.3 – 5.8) |
| 3 | 174 (24.0) | 992 (25.5) | 3.1 (2.8 – 3.6) |
| ≥4 | 185 (25.6) | 1088 (28.0) | 5.2 (4.9 – 6.3) |
Cost of hospital stay in the studied elderly patient sample
| Female | 1,555.6 | (319.4 – 5,413.1) | 2,528.0 | (665.7 – 5,817.9) | p < 0.001 |
| Male | 1,432.5 | (328.4 – 4,459.5) | 2,132.0 | (470.6 – 6,012.7) | p < 0.001 |
| 60–64 | 1,409.4 | (317.2 – 3,762.7) | 2,183.2 | (1,031.0 – 4,789.2) | p = 0.018 |
| 65–69 | 1,261.6 | (314.3 – 3,105.3) | 3,374.0 | (481.0 – 16,991.7) | p = 0.001 |
| 70–74 | 1,397.5 | (336.6 – 4,234.4) | 1,703.3 | (475.8 – 3,582.2) | p = 0.239 |
| 75–79 | 1,504.2 | (327.5 – 5,658.4) | 2,393.7 | (598.0 – 7,413.3) | p = 0.010 |
| 80–84 | 1,679.5 | (299.8 – 5,665.7) | 2,395.0 | (835.4 – 5,451.9) | p = 0.116 |
| ≥ 85 | 1,696.3 | (394.6 – 4,618.6) | 2,283.6 | (1,002.3 – 3,887.6) | p = 0.062 |
| Surgery | 1,191.8 | (334.3 – 5,059.3) | 1,611.3 | (362.1 – 3,596.7) | p = 0.197 |
| Internal medicine | 1,536.0 | (317.8 – 4,871.3) | 2,456.2 | (655.0 – 6,594.5) | p < 0.001 |
| Yes | 1,497.2 | (323.2 – 4,931.4) | 2,278.0 | (763.6 – 5,942.1) | p < 0.001 |
| No | NA | 2,515.3 | (363.7 – 14,772.5) | NA | |
| 1–2 | 683.0 | (202.4 – 1,623.6) | 365.8 | (355.9 – 375.6) | p = 0.179 |
| 3–4 | 1,016.3 | (512.2 – 1,978.7) | 1,239.5 | (476.1 – 2,855.7) | p = 0.020 |
| 5–6 | 1,548.3 | (835.4 – 2,466.1) | 1,403.0 | (939.8. – 2,169.4) | p = 0.210 |
| 7–8 | 2,019.1 | (1,195.4 – 2,991.3) | 1,867.8 | (1,181.6. – 3,145.1) | p = 0.350 |
| 9–10 | 2,351.6 | (1,546.6 – 3,197.5) | 2,398.4 | (1,554.1 – 3,171.2) | p = 0.813 |
| ≥ 11 | 4,141.7 | (2,055.5 – 7,246.8) | 4,490.7 | (1,935.5 – 14,042.9) | p = 0.562 |
| 0 | 1,486.8 | (320.6 – 4,883.8) | 2,266.0 | (585.1 – 6,778.6) | p = 0.038 |
| 1 | 1,369.7 | (334.3 – 3,002.8) | 2,425.8 | (1,052.4 – 3,605.6) | p < 0.001 |
| 2 | 1,413.8 | (332.2 – 4,115.5) | 1,943.6 | (684.3 – 4,110.3) | p = 0.010 |
| 3 | 1,659.6 | (346.3 – 6,202.7) | 2,900.7 | (576.6 – 12,091.9) | p = 0.005 |
| ≥ 4 | 1,477.1 | (282.4 – 4,272.3) | 2,051.4 | (600.7–5,048.5) | p = 0.106 |
NA = Not Apply
Generalized Least Square model using as dependent variable the transformed logarithm of hospital costs (n = 724)
| Intercept | -135.0 (3.3) | <0.001 |
| Sex | 12.4 (39.5) | 0.712 |
| Age | 4.9 (2.2) | 0.005 |
| Inappropriateness admission | -135.0 (223.1) | 0.075 |
| Patient days | 222.2 (3.7) | <0.001 |
| Comorbidities | 7.7 (14.0) | 0.708 |
| Inappropriateness days | -39.7 (12.8) | 0.001 |
β = Parameter estimate for each variable considered in the GLS model
SD = Standard Deviation