| Literature DB >> 36141422 |
Frances Horgan1, Vanda Cummins2, Dawn A Skelton3, Frank Doyle4, Maria O'Sullivan5, Rose Galvin6, Elissa Burton7,8, Jan Sorensen9, Samira Barbara Jabakhanji9, Bex Townley10, Debbie Rooney11, Gill Jackson11, Lisa Murphy11, Lauren Swan5, Mary O'Neill12, Austin Warters13.
Abstract
Background: Care to Move (CTM) provides a series of consistent 'movement prompts' to embed into existing movements of daily living. We explored the feasibility of incorporating CTM approaches in home care settings.Entities:
Keywords: care staff; community-dwelling; feasibility; home care; intervention; older adult; physical activity; training
Mesh:
Year: 2022 PMID: 36141422 PMCID: PMC9517683 DOI: 10.3390/ijerph191811148
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Flow of the participants in the CTM feasibility study (before and after COVID-19 social distancing restrictions).
Participant characteristics at baseline.
| Variable | Variable Description | N(%) out of Total 35 |
|---|---|---|
| Gender | Male | 5 (14.3%) |
| Female | 30 (85.7%) | |
| Marital status | Married | 9 (25.7%) |
| Single | 10 (28.6%) | |
| Widowed | 16 (45.7%) | |
| Living status | Lives alone | 24 (68.6%) |
| Lives with other | 11 (31.4%) | |
| Uses mobility aid | No aid | 12 (34.3%) |
| Stick | 12 (34.3%) | |
| Frame 1 | 10 (28.6%) | |
| Wheelchair | 1 (2.9%) | |
| Rockwood Score | 3 | 1 (2.9%) |
| 4 | 3 (8.6%) | |
| 5 | 12 (34.3%) | |
| 6 | 19 (54.2%) |
1 Frames could be a 2, 3 or 4 wheeled frame, no wheels or a walking rollator.
Descriptive statistics and data loss for secondary outcome measures at Time 1, Time 2 and Time 3.
| Outcome Measure | Time 1 | Time 2 | Time 3 |
|---|---|---|---|
| Baseline | 8 Weeks | 6 Months or Later | |
| Timed Up and Go (secs) $: | |||
| Mean (SD) | 33 (94.3%) | 20 (95.2%) | 11 (84.6%) |
| Median (IQR) | 21.8 (10.8) | 19.1 (9.3) | 22.8 (11.3) |
| Cohens ds | 19.6 (10.9) | 18.8 (11.0) | 18.8 (11.0) |
| _ | −0.26 a | 0.1 | |
| 30 s sit to stand (number) ¶: | |||
| Mean (SD) | 33 (94.3%) | 18 (85.7%) | 12 (92.3%) |
| Median (IQR) | 7.0 (2.7) | 7.8 (3.4) | 8.0 (4.4) |
| Cohens ds | 7.0 (4.0) | 7.0 (5.5) | 7.0 (4.5) |
| - | 0.28 a | 0.31 a | |
| Nottingham Extended ADL (score) ¶: | |||
| Mean (SD) | 35 (100%) | 21 (100%) | 13 (100%) |
| Median (IQR) | 55.8 (13.0) | 52.3 (11.5) | 51.9 (9.3) |
| Cohens ds | 57.0 (19.0) | 57.0 (19.0) | 53.0 (12.0) |
| - | −0.28 a | −0.32 a | |
| ConfBal (score) $: | |||
| Mean (SD) | 35 (100%) | 20 (95.2%) | 13 (100%) |
| Median (IQR) | 21.3 (4.3) | 19.3 (3.7) | 20.2 (3.8) |
| Cohens ds | 21.0 (6.0) | 19.0 (3.3) | 20.0 (5.0) |
| - | −0.49 a | −0.28 a | |
| ABC balance confidence (%) ¶: | 34 (97.1%) | 18 (85.7%) | 12 (92.3%) |
| Mean (SD) | 48.3 (18.5) | 44.9 (13.7) | 41.9 (19.5) |
| Median (IQR) | 45.9 (16.9) | 45.3 (23.0) | 38.8 (30.3) |
| Cohens ds | - | −0.20 a | −0.34 a |
| EQ-5D-5L (%) ¶: | 35 (100%) | 20 (95.2%) | 12 (92.3%) |
| Mean (SD) | 0.549 (0.195) | 0.693 (0.195) | 0.764 (0.143) |
| Median (IQR) | 0.0683 (0.440) | 0.742 (0.201) | 0.778 (0.190) |
| Cohens ds | _ | 0.50 a | 0.74 a |
| EQ-VAS (%) ¶: | 33 (94.3%) | 20 (95.2%) | 13 (100%) |
| Mean (SD) | 62.6 (21.7) | 72.0 (17.8) | 65.8 (23.8) |
| Median (IQR) | 60.0 (30.0) | 75.0 (22.5) | 70.0 (35.0) |
| Cohens ds | - | 0.46 a | 0.14 |
| Exercise Self Efficacy (score) ¶: | 35 (100%) | 16 (76.2%) | 8 (61.5%) |
| Mean (SD) | 18.9 (4.1) | 21.3 (5.3) | 21.8 (6.1) |
| Median (IQR) | 18.0 (5.0) | 19.5 (9.3) | 23.0 (9.8) |
| Cohens ds | - | 0.54 b | 0.63 b |
Key: ¶ higher score is better; $ lower score is better. SD Standard deviation; IQR Interquartile range; Cohens ds effect sizes—a small 0.2–0.5, b medium 0.5–0.8, c large 0.8–1.
Figure 2Logic model for CTM Implementation.
Figure 3Intention and planning over the 6-month timeframe.