Consumer engagement critical to success in an Australian research project: reflections from those involved.

This paper describes the people, activities and methods of consumer engagement in a complex research project, and reflects on the influence this had on the research and people involved, and enablers and challenges of engagement. The 2.5-year Integrating and Deriving Evidence Experiences and Preferences (IN-DEEP) study was conducted to develop online consumer summaries of multiple sclerosis (MS) treatment evidence in partnership with a three-member consumer advisory group. Engagement methods included 6-monthly face-to-face meetings and email contact. Advisory group members were active in planning, conduct and dissemination and translational phases of the research. Engaging consumers in this way improved the quality of the research process and outputs by: being more responsive to, and reflective of, the experiences of Australians with MS; expanding the research reach and depth; and improving the researchers' capacity to manage study challenges. Advisory group members found contributing their expertise to MS research satisfying and empowering, whereas researchers gained confidence in the research direction. Managing the unpredictability of MS was a substantive challenge; the key enabler was the 'brokering role' of the researcher based at an MS organisation. Meaningfully engaging consumers with a range of skills, experiences and networks can make important and unforeseen contributions to research success.

Associations between multimorbidity and additional burden for working-age adults with specific forms of musculoskeletal conditions: a cross-sectional study.

BACKGROUND: Multiple health conditions are increasingly a problem for adults with musculoskeletal conditions. However, multimorbidity research has focused primarily on the elderly and those with a limited subset of musculoskeletal disorders. We sought to determine whether associations between multimorbidity and additional burden differ with specific forms of musculoskeletal conditions among working-age adults. METHODS: Data were sourced from a nationally representative Australian survey. Specific musculoskeletal conditions examined were osteoarthritis; inflammatory arthritis; other forms of arthritis or arthropathies; musculoskeletal conditions not elsewhere specified; gout; back pain; soft tissue disorders; or osteoporosis. Multimorbidity was defined as the additional presence of one or more of the Australian National Health Priority Area conditions. Burden was assessed by self-reported measures of: (i) self-rated health (ii) musculoskeletal-related healthcare and medicines utilisation and, (iii) general healthcare utilisation. Associations between multimorbidity and additional health or healthcare utilisation burden among working-age adults (aged 18 - 64 years of age) with specific musculoskeletal conditions were estimated using logistic regression, adjusting for confounders. Interaction terms were fitted to identify whether there were specific musculoskeletal conditions where multimorbidity was more strongly associated with poorer health or greater healthcare utilisation than in the remaining musculoskeletal group. RESULTS: Among working-age adults, for each of the specified musculoskeletal conditions, multimorbidity was associated with similar, increased likelihood of additional self-rated health burden and certain types of healthcare utilisation. While there were differences in the relationships between multimorbidity and burden for each of the specific musculoskeletal conditions, no one specific musculoskeletal condition appeared to be consistently associated with greater additional health burden in the presence of multimorbidity across the majority of self-rated health burden and healthcare use measures. CONCLUSIONS: For working-age people with any musculoskeletal conditions examined here, multimorbidity increases self-reported health and healthcare utilisation burden. As no one musculoskeletal condition appears consistently worse off in the presence of multimorbidity, there is a need to better understand and identify strategies that acknowledge and address the additional burden of concomitant conditions for working-age adults with a range of musculoskeletal conditions.

Cross-sectional examination of musculoskeletal conditions and multimorbidity: influence of different thresholds and definitions on prevalence and association estimates.

BACKGROUND: Multimorbidity and musculoskeletal conditions create substantial burden for people and health systems. Quantifying the extent of co-occurring conditions is hampered by conceptual heterogeneity, imprecision and/or indecision about how multimorbidity is defined. The purpose of this study is to examine the influence of different ways of operationalising multimorbidity on multimorbidity prevalence rates with a focus on working-age adults with musculoskeletal conditions. Weighted population prevalence rates of multimorbidity among working-age Australians were estimated using data from the National Health Survey. Two nominal thresholds (2+ or 3+ co-occurring conditions) and three operational definitions of multimorbidity (survey-, policy- and research-based) were examined. Using logistic regression, we estimated the association between the prevalence of multimorbidity among persons with musculoskeletal conditions compared to persons with non-musculoskeletal conditions for each definition and threshold combination. RESULTS: As few as 7.9% of working-age Australians have 2+ conditions using the research-based definition (95% CI 7.4-8.5%), compared to estimates of 15.3% (95% CI 14.3-16.2%) and 61.5% (95% CI 60.3-62.7%). with the policy- and survey-based definitions, respectively. Depending on definition, with the 3+ threshold multimorbidity prevalence ranged from 2.1% (research) to 41.9% (survey). Among the sub-sample with musculoskeletal conditions, multimorbidity with the 2+ threshold ranged from 20.2 to 92.2%; and with 3+ threshold from 5.9 to 75.4%, again lowest with the research-definition and highest with the survey-definition. When compared to any other condition (i.e. non-musculoskeletal conditions), all musculoskeletal conditions were positively associated with multimorbidity, regardless of definition or threshold. CONCLUSIONS: Depending on definition and threshold, multimorbidity is either rare or endemic in working-age Australians. Irrespective of definition, musculoskeletal conditions are a near-ubiquitous feature of multimorbidity.

Communication Vulnerabilities in Working-age Australians with Musculoskeletal Conditions: A Cross-sectional Analysis.

OBJECTIVE: To estimate the prevalence of communication vulnerability (CV) and its association with various health measures among working-age Australians with musculoskeletal conditions (MSK). The various vulnerability characteristics may lead to inadequate communication between consumers and healthcare professionals. METHODS: Prevalence of CV among 18-64 year olds, with or without MSK, was analyzed using the Australian Bureau of Statistics' National Health Survey 2007-08 data. Associations between CV and measures of health complexity (accumulating multimorbidity and risk factors) and health burden (poorer self-rated health, psychological distress, and pain restricting work) in the MSK population were estimated using logistic regression. Further analyses were conducted for each vulnerability characteristic to determine the degree of association (crude and adjusted) with measures of interest. RESULTS: CV were more prevalent in working-age Australians with MSK (65%) than those without (51%). Adjusted for age and sex among working-age Australians with at least 1 MSK, those with 1 or more CV were more likely to have multimorbidity [adjusted OR (aOR) = 1.8, 95% CI 1.5-2.2], lifestyle risk factors (aOR = 2.1, 95% CI 1.5-2.8), poorer self-rated health (aOR = 3.4, 95% CI 2.7-4.2), greater psychological distress (aOR = 2.9, 95% CI 2.3-3.7), and pain restricting employment (aOR = 1.7, 95% CI 1.4-2.1) compared with those without CV. CONCLUSION: For working-age people, there is an association between MSK and CV. For those with MSK, CV were associated with increased likelihood of health complexity and burden. These findings have policy and clinical relevance. Research is needed to determine whether interventions that address these specific CV characteristics reduce the burden of disease within these populations.