- Finch, Caroline, Stephan, Karen, Shee, Anna Wong, Hill, Keith, Haines, Terry, Clemson, Lindy, Day, Lesley
- Authors: Finch, Caroline , Stephan, Karen , Shee, Anna Wong , Hill, Keith , Haines, Terry , Clemson, Lindy , Day, Lesley
- Date: 2015
- Type: Text , Journal article
- Relation: Injury Prevention Vol. 21, no. 4 (2015), p. 254-259
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Relation: http://purl.org/au-research/grants/nhmrc/1058737
- Relation: http://purl.org/au-research/grants/nhmrc/546282
- Full Text: false
- Reviewed:
- Description: Background: There has been limited research investigating the relationship between injurious falls and hospital resource use. The aims of this study were to identify clusters of community-dwelling older people in the general population who are at increased risk of being admitted to hospital following a fall and how those clusters differed in their use of hospital resources. Methods: Analysis of routinely collected hospital admissions data relating to 45 374 fall-related admissions in Victorian community-dwelling older adults aged ≥65 years that occurred during 2008/2009 to 2010/2011. Fall-related admission episodes were identified based on being admitted from a private residence to hospital with a principal diagnosis of injury (International Classification of Diseases (ICD)-10-AM codes S00 to T75) and having a first external cause of a fall (ICD-10-AM codes W00 to W19). A cluster analysis was performed to identify homogeneous groups using demographic details of patients and information on the presence of comorbidities. Hospital length of stay (LOS) was compared across clusters using competing risks regression. Results: Clusters based on area of residence, demographic factors (age, gender, marital status, country of birth) and the presence of comorbidities were identified. Clusters representing hospitalised fallers with comorbidities were associated with longer LOS compared with other cluster groups. Clusters delineated by demographic factors were also associated with increased LOS. Conclusions: All patients with comorbidity, and older women without comorbidities, stay in hospital longer following a fall and hence consume a disproportionate share of hospital resources. These findings have important implications for the targeting of falls prevention interventions for community-dwelling older people. © 2015, BMJ Publishing Group. All right reserved.
A protocol for evidence-based targeting and evaluation of statewide strategies for preventing falls among community-dwelling older people in Victoria, Australia
- Day, Lesley, Finch, Caroline, Hill, Keith, Haines, Terry, Clemson, Lindy, Thomas, Margaret, Thompson, Catherine
- Authors: Day, Lesley , Finch, Caroline , Hill, Keith , Haines, Terry , Clemson, Lindy , Thomas, Margaret , Thompson, Catherine
- Date: 2011
- Type: Text , Journal article
- Relation: Injury Prevention Vol. 17, no. 2 (2011), p. 1-8
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Relation: http://purl.org/au-research/grants/nhmrc/546282
- Full Text:
- Reviewed:
- Description: Background: Falls are a significant threat to the safety, health and independence of older citizens. Despite the now substantial evidence about effective falls prevention interventions, translation into falls reductions has not yet been fully realised. While the hip fracture rate is decreasing, the number and rate of fall-related hospital admissions among older people is increasing. The challenge now is to deliver the most effective interventions efficiently at a population level, and for these interventions to be taken up by older people. Objective: To support the development, and evaluation of, effective falls prevention policy and practice in the state of Victoria, Australia. Methods: The RE-AIM model (Reach, Efficacy, Adoption, Implementation, Maintenance) was used to identify strategies for an effective programme. Research objectives were developed to support the strategies. These include: (1) identification of subgroups of older people most frequently admitted to hospital for falls; (2) examining the acceptability of established falls interventions; (3) identification of factors that encourage and support relevant lifestyle changes; (4) identifying opportunities to incorporate confirmed interventions in existing programmes and services; (5) developing guidelines for sustainability. The research results will subsequently guide strategy details for the falls prevention plan. RE-AIM will provide the framework for the evaluation structure. Outcome measures: Measures to monitor the implementation of the selected interventions will be determined for each intervention, based on the five key factors of the RE-AIM model. The overall effect of the falls prevention plan will be monitored by time series analysis of fall-related hospital admission rates for community-dwelling older people.
- Authors: Day, Lesley , Finch, Caroline , Hill, Keith , Haines, Terry , Clemson, Lindy , Thomas, Margaret , Thompson, Catherine
- Date: 2011
- Type: Text , Journal article
- Relation: Injury Prevention Vol. 17, no. 2 (2011), p. 1-8
- Relation: http://purl.org/au-research/grants/nhmrc/565900
- Relation: http://purl.org/au-research/grants/nhmrc/546282
- Full Text:
- Reviewed:
- Description: Background: Falls are a significant threat to the safety, health and independence of older citizens. Despite the now substantial evidence about effective falls prevention interventions, translation into falls reductions has not yet been fully realised. While the hip fracture rate is decreasing, the number and rate of fall-related hospital admissions among older people is increasing. The challenge now is to deliver the most effective interventions efficiently at a population level, and for these interventions to be taken up by older people. Objective: To support the development, and evaluation of, effective falls prevention policy and practice in the state of Victoria, Australia. Methods: The RE-AIM model (Reach, Efficacy, Adoption, Implementation, Maintenance) was used to identify strategies for an effective programme. Research objectives were developed to support the strategies. These include: (1) identification of subgroups of older people most frequently admitted to hospital for falls; (2) examining the acceptability of established falls interventions; (3) identification of factors that encourage and support relevant lifestyle changes; (4) identifying opportunities to incorporate confirmed interventions in existing programmes and services; (5) developing guidelines for sustainability. The research results will subsequently guide strategy details for the falls prevention plan. RE-AIM will provide the framework for the evaluation structure. Outcome measures: Measures to monitor the implementation of the selected interventions will be determined for each intervention, based on the five key factors of the RE-AIM model. The overall effect of the falls prevention plan will be monitored by time series analysis of fall-related hospital admission rates for community-dwelling older people.
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