| Literature DB >> 35241997 |
Jette Möller1, Christian Rausch1,2, Lucie Laflamme1, Yajun Liang1.
Abstract
Little is known about the long-term effect of geriatric syndromes on health-care utilization. This study aims to determine the association between geriatric syndromes and health-care utilization during a four-year period among older community dwellers. Based on the Stockholm Public Health Cohort study, a total number of 6700 community dwellers aged ≥65 years were included. From a baseline survey in 2006, geriatric syndromes were defined as having at least one of the following: insomnia, functional decline, urinary incontinence, depressive symptoms and vision impairment. Health-care utilization was identified by linkages at individual level with register data with a four-year follow-up. Cox regression was performed to estimate the associations. Compared to those without geriatric syndromes, participants with any geriatric syndromes had a higher prevalence of frequent hospitalizations, long hospital stays, frequent outpatient visits and polypharmacy in each of the follow-up years. After controlling for covariates, having any geriatric syndromes was associated with higher levels of utilization of inpatient and outpatient care as well as polypharmacy. The association was stable over time, and the fully adjusted hazard ratio (95% confidence interval) remained stable in frequent hospitalizations (from 1.89 [1.31, 2.73] in year 1 to 1.70 [1.23, 2.35] in year 4), long hospital stay (from 1.75 [1.41, 2.16] to 1.49 [1.24, 1.78]), frequent outpatient visits (from 1.40 [1.26, 1.54] to 1.33 [1.22, 1.46]) and polypharmacy (from 1.63 [1.46, 1.83] to 1.53 [1.37, 1.71]). Having any geriatric syndromes is associated with higher levels of health-care utilization among older community dwellers, and the impact of geriatric syndromes is stable over a four-year period. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at. 10.1007/s10433-021-00600-2.Entities:
Keywords: Geriatric syndromes; Inpatient care; Outpatient care; Polypharmacy
Year: 2021 PMID: 35241997 PMCID: PMC8881534 DOI: 10.1007/s10433-021-00600-2
Source DB: PubMed Journal: Eur J Ageing ISSN: 1613-9372
Baseline characteristics of the study population stratified by geriatric syndromes at baseline
| Characteristics | Total | No geriatric syndromes | Any geriatric syndromes | |
|---|---|---|---|---|
| <0.001 | ||||
| Men | 45.3 | 60.3 | 40.7 | |
| Women | 54.7 | 39.7 | 59.3 | |
| <0.001 | ||||
| Married | 56.3 | 62.0 | 54.5 | |
| Unmarried | 6.7 | 7.8 | 6.4 | |
| Divorced | 17.7 | 16.7 | 18.0 | |
| Widowed | 19.3 | 13.5 | 21.1 | |
| 0.001 | ||||
| Yes | 82.4 | 85.2 | 81.5 | |
| No | 17.6 | 14.8 | 18.5 | |
| 6.0 | 1.9 | 7.2 | <0.001 |
Fig. 1Prevalence of health-care utilization by year of follow-up stratified by geriatric syndromes at baseline and by type of utilization. a frequent hospitalizations; b long hospital stay; c frequent outpatient visits; d polypharmacy
Association between geriatric syndromes and annual health-care utilization over time
| Hazard ratio (95% confidence interval)a | ||||
|---|---|---|---|---|
| Follow-up time | Frequent hospitalizations | Long hospital stay | Frequent outpatient visits | Polypharmacy |
| Model 1 | 2.34 (1.63, 3.34) | 2.07 (1.68, 2.54) | 1.51 (1.36, 1.66) | 1.86 (1.66, 2.08) |
| Model 2 | 2.15 (1.50, 3.10) | 1.88 (1.52, 2.31) | 1.43 (1.29, 1.58) | 1.68 (1.50, 1.88) |
| Model 3 | 1.89 (1.31, 2.73) | 1.75 (1.41, 2.16) | 1.40 (1.26, 1.54) | 1.63 (1.46, 1.83) |
| Model 1 | 1.80 (1.30, 2.50) | 1.87 (1.54, 2.27) | 1.58 (1.44, 1.74) | 1.70 (1.53, 1.90) |
| Model 2 | 1.61 (1.15,2.25) | 1.67 (1.37, 2.04) | 1.48 (1.34, 1.64) | 1.54 (1.38, 1.71) |
| Model 3 | 1.49 (1.06, 2.09) | 1.59 (1.30, 1.95) | 1.46 (1.33, 1.62) | 1.52 (1.36, 1.69) |
| Model 1 | 1.83 (1.32, 2.52) | 1.81 (1.51, 2.18) | 1.51 (1.37, 1.66) | 1.66 (1.49, 1.84) |
| Model 2 | 1.59 (1.15, 2.22) | 1.60 (1.32, 1.93) | 1.41 (1.28, 1.55) | 1.51 (1.36, 1.68) |
| Model 3 | 1.50 (1.08, 2.09) | 1.55 (1.28, 1.87) | 1.40 (1.27, 1.54) | 1.49 (1.34, 1.66) |
| Model 1 | 1.95 (1.42, 2.68) | 1.72 (1.44, 2.05) | 1.40 (1.28, 1.53) | 1.69 (1.52, 1.88) |
| Model 2 | 1.76 (1.28, 2.44) | 1.52 (1.27, 1.82) | 1.33 (1.22, 1.46) | 1.54 (1.38, 1.72) |
| Model 3 | 1.70 (1.23, 2.35) | 1.49 (1.24, 1.78) | 1.33 (1.22, 1.46) | 1.53 (1.37, 1.71) |
aModel 1 was a crude model, model 2 was adjusted for age, sex, marital status and birth country, and model 3 was additionally adjusted for multimorbidity at baseline