Heterogeneity in health status and the influence of patient characteristics across patients seeking musculoskeletal orthopaedic care – a cross-sectional study

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Abstract

Background

Health status is an important predictor of patient outcomes. Consequently, identifying patient predictors of health status is essential. In musculoskeletal orthopaedic care, the majority of work examining the association between patient characteristics and health status has been undertaken among hip/knee cohorts. We investigate these associations comparing findings across four musculoskeletal cohorts (hip/knee; foot/ankle; neck/back; elbow/shoulder).

Methods

Patients seeking elective musculoskeletal orthopaedic care were recruited prior to consultation. Questionnaires captured health domain status (bodily pain, physical functioning, and mental and general health) and covariates: demographics; socioeconomic characteristics; and comorbidity. Scores were compared across cohorts. Two path regression analyses were undertaken. First, domain scores were simultaneously examined as dependent variables in the overall sample. Subsequently, the model was assessed stratified by cohort.

Results

1,948 patients: 454 neck/back, 767 hip/knee, 378 shoulder/elbow, 349 foot/ankle. From stratified analyses, significant variability in covariate effects was observed. Worse bodily pain scores were associated with increasing age and female sex among hip/knee, low income among foot/ankle, and overweight/obese for foot/ankle and hip/knee. Worse mental health scores were associated with low income across cohorts except elbow/shoulder, low education within neck/back, and compared to Whites, Blacks had significantly worse scores among foot/ankle, better scores among hip/knee. Worse general health scores were observed for Asians among hip/knee, Blacks among foot/ankle, and South-Asians among elbow/shoulder and neck/back.

Conclusion

The substantial heterogeneity across musculoskeletal cohorts suggests that patient- and cohort-specific approaches to patient counsel and care may be more effective for achieving optimal health and outcomes.

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Most cited references 34

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The widespread use of standardized health surveys is predicated on the largely untested assumption that scales constructed from those surveys will satisfy minimum psychometric requirements across diverse population groups. Data from the Medical Outcomes Study (MOS) were used to evaluate data completeness and quality, test scaling assumptions, and estimate internal-consistency reliability for the eight scales constructed from the MOS SF-36 Health Survey. Analyses were conducted among 3,445 patients and were replicated across 24 subgroups differing in sociodemographic characteristics, diagnosis, and disease severity. For each scale, item-completion rates were high across all groups (88% to 95%), but tended to be somewhat lower among the elderly, those with less than a high school education, and those in poverty. On average, surveys were complete enough to compute scales scores for more than 96% of the sample. Across patient groups, all scales passed tests for item-internal consistency (97% passed) and item-discriminant validity (92% passed). Reliability coefficients ranged from a low of 0.65 to a high of 0.94 across scales (median = 0.85) and varied somewhat across patient subgroups. Floor effects were negligible except for the two role disability scales. Noteworthy ceiling effects were observed for both role disability scales and the social functioning scale. These findings support the use of the SF-36 survey across the diverse populations studied and identify population groups in which use of standardized health status measures may or may not be problematic.

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Predicting the outcome of total knee arthroplasty.

, Stephen E Wright, Jeffrey Katz … (2004)

The relief of pain and the restoration of functional activities are the main outcomes of primary total knee arthroplasty for the treatment of osteoarthritis. This paper examines the preoperative predictors of pain and functional outcome at one and two years following total knee arthroplasty. Patients were recruited for a prospective observational study of primary total knee arthroplasty for the treatment of osteoarthritis from centers in the United States, the United Kingdom, and Australia. Research assistants recruited the patients and collected the clinical history and physical examination data preoperatively and at three, twelve, and twenty-four months postoperatively. The Western Ontario and McMaster University Osteoarthritis Index (WOMAC), Short Form-36 (SF-36), and demographic data were obtained by self-administered patient questionnaires. We recruited 860 patients and obtained one-year WOMAC data on 759 patients (88%) and two-year data on 701 (82%). The mean age was seventy years, and 59% of the patients were female. Using hierarchical regression models, we found that the most significant preoperative predictors of worse scores on the pain and function domains of the WOMAC scale and on the physical functioning domain of the SF-36 at one and two years postoperatively were low preoperative scores, a higher number of comorbid conditions, and a low SF-36 mental health score. After adjusting for these predictors, we found that the functional status of the patients from the United Kingdom was significantly worse than that of the patients from the other countries and the difference was clinically important at both the one-year and two-year follow-up examination (p < 0.0005). The mean WOMAC pain scores for the three countries were not significantly different at one year, and, although they were significantly different at two years (p = 0.025), the difference was not clinically important. Patients who have marked functional limitation, severe pain, low mental health score, and other comorbid conditions before total knee arthroplasty are more likely to have a worse outcome at one year and two years postoperatively. After adjusting for these predictors, it was found that patients from the United Kingdom had significantly worse functional outcomes but similar pain relief compared with those from the United States and Australia.

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Osteoarthritis (OA) is a major debilitating disease affecting approximately 27 million persons in the US. Yet, the financial costs to patients and insurers remain poorly understood. The purpose of this study was to quantify by multivariate analyses the relationships between OA and annual health care expenditures borne by patients and insurers. Data from the Medical Expenditure Panel Survey (MEPS) for the years 1996-2005 were used. MEPS is a large, nationally representative US database that includes information on health care expenditures, medical conditions, health insurance status, and sociodemographic characteristics. Individual and nationally aggregated cost estimates are provided. OA was found to contribute substantially to health care expenditures. Among women, OA increased out-of-pocket (OOP) expenditures by $1,379 per annum (2007 dollars) and insurer expenditures by $4,833. Among men, OA increased OOP expenditures by $694 per annum and insurer expenditures by $4,036. Given the high prevalence of OA, the aggregate effects on health care expenditures were very large. OA raised aggregate annual medical care expenditures by $185.5 billion. Of that amount, insurer expenditures were $149.4 billion and OOP expenditures were $36.1 billion. Because of the greater prevalence of OA in women and their more intensive use of health care, total expenditures for this group accounted for $118 billion, or almost two-thirds of the total increase in health care expenditures resulting from OA. The health care cost burden associated with OA is quite large for all groups examined and is disproportionately higher for women. Although insurers bear the brunt of treatment costs for OA, the OOP costs are also substantial.

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Author and article information

Contributors

Anthony V Perruccio

Rajiv Gandhi

Y Raja Rampersaud

Journal

Journal ID (nlm-ta): BMC Musculoskelet Disord

Journal ID (iso-abbrev): BMC Musculoskelet Disord

Title: BMC Musculoskeletal Disorders

Publisher: BioMed Central

ISSN (Electronic): 1471-2474

Publication date Collection: 2013

Publication date (Electronic): 7 March 2013

Volume: 14

Page: 83

Affiliations

[1 ]Division of Orthopaedic Surgery, Toronto Western Hospital, University Health Network, 1st Floor, East Wing, Room 441, Toronto, ON, Canada

[2 ]Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada

[3 ]Toronto Musculoskeletal Centre, University of Toronto, Toronto, ON, Canada

[4 ]Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, ON, Canada

Article

Publisher ID: 1471-2474-14-83

DOI: 10.1186/1471-2474-14-83

PMC ID: 3599249

PubMed ID: 23497192

SO-VID: 2ac58847-2cae-451b-8b4f-e3d68e7dd2d2

License:

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Heterogeneity in health status and the influence of patient characteristics across patients seeking musculoskeletal orthopaedic care – a cross-sectional study

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Abstract

Background

Methods

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Conclusion

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Most cited references 34

The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups.

Predicting the outcome of total knee arthroplasty.

Insurer and out-of-pocket costs of osteoarthritis in the US: evidence from national survey data.

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