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Perceived balance and self‐reported falls: A retrospective cross‐sectional study using the National Health and Aging Trend Study

Abstract

Aims

To examine how perceived balance problems are associated with self-reported falls in the past month after controlling for known correlates of falls among older adults.

Background

Approximately 30% of adults age 65 and older fall each year. Most accidental falls are preventable, and older adults' engagement in fall prevention is imperative. Limited research suggest that older adults do not use the term ‘fall risk’ to describe their risk for falls. Instead, they commonly use the term ‘balance problems’. Yet, commonly used fall risk assessment tools in both primary and acute care do not assess older adults' perceived balance.

Design and Method

The Health Belief Model and the concept of perceived susceptibility served as the theoretical framework. A retrospective, cross-sectional secondary analysis using data from the National Health and Aging Trends Study from year 2015 was conducted. The outcome variable was self-reported falls in the last month.

Results

A subsample of independently living participants (N = 7499) was selected, and 10.3% of the sample reported a fall. Multiple logistic regression analysis revealed that the odds of reporting a fall in the past month was 3.4 times (p < .001) greater for participants who self-reported having a balance problem compared to those who did not. In contrast, fear of falling and perceived memory problems were not uniquely associated with falls. Using a mobility device, reporting pain, poor self-rated health status, depression and anxiety scores were also associated with falling.

Conclusion and Implications

Older adults' perceived balance problem is strongly associated with their fall risk. Perceived balance may be important to discuss with older adults to increase identification of fall risk. Older adults' perceived balance should be included in nursing fall risk assessments and fall prevention interventions. A focus on balance may increase older adults' engagement in fall prevention.

What are the features of high-performing quality improvement collaboratives? A qualitative case study of a state-wide collaboratives programme

Por: McGowan · J. G. · Martin · G. P. · Krapohl · G. L. · Campbell · D. A. · Englesbe · M. J. · Dimick · J. B. · Dixon-Woods · M.
Objectives

Despite their widespread use, the evidence base for the effectiveness of quality improvement collaboratives remains mixed. Lack of clarity about ‘what good looks like’ in collaboratives remains a persistent problem. We aimed to identify the distinctive features of a state-wide collaboratives programme that has demonstrated sustained improvements in quality of care in a range of clinical specialties over a long period.

Design

Qualitative case study involving interviews with purposively sampled participants, observations and analysis of documents.

Setting

The Michigan Collaborative Quality Initiatives programme.

Participants

38 participants, including clinicians and managers from 10 collaboratives, and staff from the University of Michigan and Blue Cross Blue Shield of Michigan.

Results

We identified five features that characterised success in the collaboratives programme: learning from positive deviance; high-quality coordination; high-quality measurement and comparative performance feedback; careful use of motivational levers; and mobilising professional leadership and building community. Rigorous measurement, securing professional leadership and engagement, cultivating a collaborative culture, creating accountability for quality, and relieving participating sites of unnecessary burdens associated with programme participation were all important to high performance.

Conclusions

Our findings offer valuable learning for optimising collaboration-based approaches to improvement in healthcare, with implications for the design, structure and resourcing of quality improvement collaboratives. These findings are likely to be useful to clinicians, managers, policy-makers and health system leaders engaged in multiorganisational approaches to improving quality and safety.

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