| Literature DB >> 23510505 |
Helen Edwards1, Kathleen Finlayson, Mary Courtney, Nick Graves, Michelle Gibb, Christina Parker.
Abstract
BACKGROUND: Chronic leg ulcers cause long term ill-health for older adults and the condition places a significant burden on health service resources. Although evidence on effective management of the condition is available, a significant evidence-practice gap is known to exist, with many suggested reasons e.g. multiple care providers, costs of care and treatments. This study aimed to identify effective health service pathways of care which facilitated evidence-based management of chronic leg ulcers.Entities:
Mesh:
Year: 2013 PMID: 23510505 PMCID: PMC3599619 DOI: 10.1186/1472-6963-13-86
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Baseline demographic, health and ulcer characteristics
| | | | | | |
| Age, mean ± SD† | 67 ± 13.9 | 64 ± 14.3 | 71 ± 12.2 | 75 ± 16.4 | 67 ± 11.82 |
| Gender: | | | | | |
| female | 32 (46%) | 18 (55%) | 8 (35%) | 3 (50%) | 3 (50%) |
| male | 38 (54%) | 15 (46%) | 15 (65%) | 3 (50%) | 3 (50%) |
| Lived alone | 14 (20%) | 6 (18%) | 5 (22%) | 1 (17%) | 2 (33%) |
| Primary carer | 8 (11%) | 5 (15%) | 3 (13%) | 0 (0%) | 0 (0%) |
| Income: | | | | | |
| age or disability pension | 44 (64%) | 16 (49%) | 18 (82%) | 6 (100%) | 0 (0%) |
| unemployment benefit | 6 (8%) | 3 (9%) | 0 (0%) | 0 (0%) | 0 (0%) |
| employed/self-funded retiree | 19 (28%) | 12 (36%) | 4 (18%) | 0 (0%) | 1 (17%) |
| current smoker | 10 (16%) | 5 (17%) | 4 (19%) | 1 (17%) | 0 (0%) |
| | | | | | |
| Cardiac disease | 24 (34%) | 5 (15%) | 13 (57%) | 3 (50%) | 2 (33%) |
| Hypertension | 45 (64%) | 16 (49%) | 18 (78%) | 3 (50%) | 6 (100%) |
| Osteoarthritis | 30 (43%) | 11 (33%) | 13 (57%) | 2 (33%) | 2 (33%) |
| Rheumatoid disease | 8 (11%) | 3 (9%) | 4 (17%) | 0 (0%) | 1 (17%) |
| Other autoimmune disease | 7 (10%) | 5 (15%) | 1 (4%) | 1 (17%) | 0 (0%) |
| Diabetes | 17 (24%) | 2 (6%) | 8 (35%) | 0 (0%) | 6 (100%) |
| Peripheral arterial disease | 16 (23%) | 5 (16%) | 5 (22%) | 4 (67%) | 2 (33%) |
| Past Deep Vein Thrombosis | 13 (19%) | 9 (27%) | 3 (13%) | 0 (0%) | 1 (17%) |
| Varicose veins | 39 (56%) | 21 (64%) | 15 (65%) | 2 (33%) | 1 (17%) |
| Previous lower limb surgery or trauma | 54 (77%) | 22 (67%) | 21 (91%) | 4 (67%) | 5 (83%) |
| History of previous leg ulcers | 47 (67%) | 24 (73%) | 14 (61%) | 3 (50%) | 5 (83%) |
| Required an aid to mobilise | 15 (21%) | 8 (24%) | 6 (26%) | 0 (0%) | 1 (17%) |
| | | | | | |
| Ulcer area (median, range) | 2.5 cm2 (0.1–45.3) | 2.9 cm2 (0.8–45.3) | 2.5 cm2 (0.8 –39.4) | 2.35 cm2 (0.2–3.8) | 1.9 cm2 (0.1–9.8) |
| Ulcer duration (median, range) | 22 weeks (2–728) | 24 weeks (2–188) | 15 weeks (6–728) | 13 weeks (10–130) | 21 weeks (3–56) |
| PUSH score (mean ± SD†) | 9.8 ± 2.9 | 10.6 ± 2.6 | 9.9 ± 2.6 | 8.2 ± 2.9 | 9 ± 3.5 |
| Lower leg oedema present | 55 (79%) | 28 (85%) | 19 (83%) | 4 (67%) | 3 (50%) |
| Venous eczema | 12 (17%) | 5 (15%) | 5 (22%) | 0 (0%) | 2 (33%) |
| Clinical signs of wound infection | 8 (11%) | 4 (12%) | 2 (9%) | 1 (17%) | 1 (17%) |
*There were two other ulcers which did not fit into the ulcer type categories: one a non-healing wound post-surgery, the other a pressure ulcer on the foot.
†SD = Standard Deviation.
Figure 1Health service providers in the previous 12 months.
Average number of visits by service provider in the 24 weeks prior to and after admission
| General Practitioner | 17 | 1 |
| Community Nurse | 7 | 5 |
| Medical Specialist* | 4 | 0.3 |
| Specialist Wound Clinic** | 0.2 | 9 |
| Allied Health | 0.8 | 1 |
| Total | 29.0 | 16.3 |
* includes vascular, dermatology, rehabilitation, geriatric, hyperbaric or plastic surgeon specialists.
** care provided by either a medical practitioner and nurse, or Nurse Practitioner.
Figure 2Median time to healing by ulcer type.
Quality of life, pain, depression and functional ability measures
| SF-12 PCS1 | 33.5 (10.5) | 34.2 (11.4) | 0.314 | 0.578 |
| SF-12 MCS1 | 46.6 (11.9) | 49.9 (10.8) | 0.289 | 0.595 |
| Pain Severity2 | 50.0 (26.4) | 34.0 (23.3) | 6.08 | 0.017 |
| IADL Scale3 | 2.50 (1.98) | 2.09 (2.02) | 11.42 | 0.002 |
| GDS4 scores >4 | 41.8% | 28.9% | 0.001 |
1SF-12 Physical Component Summary (PCS) and Mental Component Summary (MCS) scores, range 0–100, where 50 = population mean and lower scores indicate poorer health related quality of life.
2MOS Pain Measures [33], Range 0–100, where higher scores indicate higher levels of pain.
3Instrumental Activities of Daily Living Scale [35], range 0 – 7, where 0 = fully independent, and higher scores indicate increased dependence on assistance.
4Geriatric Depression Scale [34]: Range 0–15, scores >4 indicate mild risk of depression, scores >10 indicate high risk.