Clinimetric Evaluation of the Physical Mobility Scale Supports Clinicians and Researchers in Residential Aged Care

Mobility, functionality and functional mobility: A review and application for canine veterinary patients

Mobility is an essential aspect of a dog's daily life. It is defined as the ability to move freely and easily and deviations from an animals' normal mobility capabilities are often an indicator of disease, injury or pain. When a dog's mobility is compromised, often functionality (ability to perform activities of daily living [ADL]), is also impeded, which can diminish an animal's quality of life. Given this, it is necessary to understand the extent to which conditions impact a dog's physiological ability to move around their environment to carry out ADL, a concept termed functional mobility. In contrast to human medicine, validated measures of canine functional mobility are currently limited. The aim of this review is to summarise the extent to which canine mobility and functionality are associated with various diseases and how mobility and functional mobility are currently assessed within veterinary medicine. Future work should focus on developing a standardised method of assessing functional mobility in dogs, which can contextualise how a wide range of conditions impact a dog's daily life. However, for a true functional mobility assessment to be developed, a greater understanding of what activities dogs do on a daily basis and movements underpinning these activities must first be established.

Evaluating Mobility in Advanced Dementia: A Scoping Review and Feasibility Analysis

BACKGROUND AND OBJECTIVES

Mobility decline is a symptom of advanced dementia that affects function, safety, caregiving, and quality of life. Monitoring mobility status is essential for initiating timely and targeted interventions aimed at preventing excess disability in people with dementia (PWD). The physical, cognitive, and behavioral symptoms of dementia however, present unique challenges for mobility assessment. The goals of this review were to (a) identify and describe measures of mobility used for PWD and (b) assess measures' feasibility for use in people with advanced dementia; a group whose degree of cognitive impairment results in severe functional deficits.

RESEARCH DESIGN AND METHODS

Electronic searches of Medline, Embase, CINAHL, and PsychInfo databases were conducted using keywords related to dementia, mobility, measurement, and validation. Descriptive characteristics were extracted and measures coded for mobility components. Tools were also evaluated for feasibility of use in advanced dementia and those deemed feasible, screened for psychometric strength.

RESULTS

Thirty-eight measures were included and 68% of these tools were performance-based. Elements of mobility evaluated were walking (53% of measures), postural transitions (42%), standing (40%), mobility-related behavioral/psychological symptoms (24%), transfers (10%), bed mobility (5%), and wheeled mobility (3%). 36% of studies included people with advanced dementia. Only 18% of tools received high scores for feasibility.

DISCUSSION AND IMPLICATIONS

Existing measures provide only partial information regarding mobility and few target elements that become relevant as dementia progresses. Most measures are not feasible for people with advanced dementia, and the psychometric evaluation of these measures is limited. Further research is needed to develop a comprehensive, dementia-specific, mobility assessment tool.

Measuring safety climate in acute hospitals: Rasch analysis of the safety attitudes questionnaire

Background

The Safety Attitudes Questionnaire (SAQ) is commonly used to assess staff perception of safety climate within their clinical environment. The psychometric properties of the SAQ have previously been explored with confirmatory factor analysis and found to have some issues with construct validity. This study aimed to extend the psychometric evaluations of the SAQ by using Rasch analysis.

Methods

Assessment of internal construct validity included overall fit to the Rasch model (unidimensionality), response formats, targeting, differential item functioning (DIF) and person-separation index (PSI).

Results

A total of 420 nurses completed the SAQ (response rate 60 %). Data showed overall fit to a Rasch model of expected item functioning for interval scale measurement. The questionnaire demonstrated unidimensionality confirming the appropriateness of summing the items in each domain. Score reliabilities were appropriate (internal consistency PSI 0.6–0.8). However, participants were not using the response options on the SAQ in a consistent manner. All domains demonstrated suboptimal targeting and showed compromised score precision towards higher levels of safety climate (substantial ceiling effects).

Conclusion

There was general support for the reliability of the SAQ as a measure of safety climate although it may not be able to detect small but clinically important changes in safety climate within an organisation. Further refinement of the SAQ is warranted. This may involve changing the response options and including new items to improve the overall targeting of the scale.

Trial registration

This study was registered with the Australian New Zealand Clinical Trials Registry, number ACTRN12611000332921 (21 March 2011).

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-016-1744-4) contains supplementary material, which is available to authorized users.

Cost per fall: a potentially misleading indicator of burden of disease in health and residential care settings

RATIONALE

Little scrutiny has been applied to how 'cost per fall' values have been calculated and applied. This paper presents discourse discussing how the cost of fall statistic could potentially be misleading when applied to inpatient health or residential care settings and provides estimates of the cost of falls and cost of falls per person.

METHOD

Burden of disease was estimated using a decision tree approach. Data informing the decision tree were drawn from a retrospective audit of 545 falls in a residential care facility, a visual observation study of 46 residents from the same facility and a cohort study of 186 residents from nine different facilities in Australia. Acute care and transportation costs were extracted from the retrospective audit using incident reports and care note review. The distribution of falls per person and associations between falls, fractures and change in resident mobility were extracted from the cohort study. The association between resident mobility and the amount of time required to perform toileting, transfer and dressing activities was extracted from the visual observational study.

RESULTS

The minimum 'cost per fall' was estimated to be $AUD 841 and the maximum was $AUD 1024. The 'cost of falls per person' estimate was $AUD 1887 (2008 base year).

CONCLUSIONS

This cost per fall estimate was substantially lower than three previous internationally derived estimates possibly as a consequence of how fall data were collected and modelled in these studies. Cost of falls per person may be a preferable statistic for future use.

Mobility has a non-linear association with falls risk among people in residential aged care: an observational study

QUESTIONS

What is the association between mobility and falls risk for people living in residential aged care? Can the Physical Mobility Scale discriminate between residents at risk of falling and those not at risk?

DESIGN

Prospective longitudinal observational study.

SETTING

Six residential aged care facilities in Australia.

PARTICIPANTS

Eighty-seven high- and low-level care permanent residents.

OUTCOME MEASURES

The primary outcome measure was the number of falls in the six months after the initial mobility assessment. Mobility of all participants was assessed using the Physical Mobility Scale, which includes nine mobility items assessed on a 0-5 scale yielding a total score out of 45.

RESULTS

During the six-month study period, 131 falls were reported. Residents with mild mobility impairment (Physical Mobility Scale total score 28-36) had the highest fall risk (hazard ratio = 1.98, 95% CI 1.30 to 3.03). Residents with fully dependent mobility (Physical Mobility Scale total score 0-9) had the lowest risk for falls (HR=0.05, 95% CI 0.01 to 0.32).

CONCLUSION

Aged care residents with mild mobility impairment are at increased risk of falls and are an appropriate target for falls prevention strategies. Although improving the mobility of residents with moderate to severe mobility impairment may enhance their independence and reduce their burden on staff, paradoxically this may also increase their risk of falls. When these residents improve enough to progress into a higher category of mobility, physiotherapists should be aware that this may increase the risk of falls and should consider instituting appropriate falls prevention strategies.