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. Author manuscript; available in PMC: 2021 Jul 12.
Published in final edited form as: Bone Joint J. 2021 Jul 1;103-B(7):1317–1324. doi: 10.1302/0301-620X.103B7.BJJ-2020-2349.R1

Table 3. Odds ratios of 30-day recovery by timing of mobilisation among patients surgically treated for non-pathological first hip fracture across subgroups defined by mobility prefracture and dementia.

Mobilisation timing Patients n (%) patients who recovered n (%) Unweighted Odds Ratio (95% CI) Weighted Odds Ratio (95% CI)
Outdoor ambulation (n = 24,492)
mobilised 2 days or more after surgery 3,672 (15.0) 263 (7) 1.00 1.00
mobilised on the day of or day after surgery 20,820 (85.0) 2012 (10) 1.39 (1.21 to 1.58) 1.25 (1.03 to 1.51)*
Indoor ambulation only (n = 8,781)
mobilised 2 days or more after surgery 2,264 (25.8) 1629 (72) 1.00 1.00
mobilised on the day of or day after surgery 6,517 (74.2) 5331 (82) 1.75 (1.57 to 1.96) 1.53 (1.32 to 1.78)*
Without dementia & outdoor ambulation (n= 16,761)
mobilised 2 days or more after surgery 2,375 (14.2) 188 (8) 1.00 1.00
mobilised on the day of or day after surgery 14,386 (85.8) 1371 (10) 1.23 (1.05, 1.44) 1.19 (0.96, 1.47)**
Without dementia & indoor ambulation (n = 3,797)
mobilised 2 days or more after surgery 924 (24.3) 717 (78) 1.00 1.00
mobilised on the day of or day after surgery 2,873 (75.7) 2509 (87) 1.99 (1.65, 2.41) 1.73 (1.35, 2.20)**
With dementia & outdoor ambulation (n = 4,338)
mobilised 2 days or more after surgery 862 (19.9) 45 (5) 1.00 1.00
mobilised on the day of or day after surgery 3,476 (80.1) 316 (9) 1.82 (1.32, 2.50) 1.52 (1.03, 2.23)**
With dementia & indoor ambulation (n = 3,982)
mobilised 2 days or more after surgery 1,077 (27.0) 711 (66) 1.00 1.00
mobilised on the day of or day after surgery 2,905 (73.0) 2207 (76) 1.63 (1.40, 1.90) 1.52 (1.26, 1.84)**

CI = confidence interval,

*

using propensity weighting score that were calculated using a model to predict the mobilisation timing from the confounders variables: age, sex, ethnicity, comorbidities, fracture type, fracture surgery type, surgery timing, fracture year calendar, deprivation, week day of admission, prefracture residence, ASA grade, prefracture ambulation and hospital volume. 12,947 cases with missing data of at lease one of these confounder variables were excluded from the main analysis. In the analysis by prefracture ambulation 9,650 and 3,297 with missing data were excluded from outdoor ambulation group and indoor ambulation group respectively, In the analysis by dementia condition 6,054 and 2,498 with missing data were excluded from the group without dementia and with dementia respectively.

**

using propensity weighting score that were calculated using a model to predict the mobilisation timing from the confounders variables: age, sex, ethnicity, comorbidities, fracture type, fracture surgery type, surgery timing, fracture year calendar, deprivation, week day of admission, prefracture residence, ASA grade, prefracture ambulation and hospital volume. 4,934, 1,120, 1,323, 1,175 cases with missing data of at lease one of these variables were excluded from “without dementia & outdoor ambulation”, “without dementia & indoor ambulation”, with dementia & outdoor ambulation”, with dementia & outdoor ambulation”, subgroups respectively.