Supporting self-management education for arthritis: Evidence from the Arthritis Conditions and Health Effects Survey on the influential role of health care providers

Prevalence of Diagnosed Arthritis - United States, 2019-2021

Arthritis includes approximately 100 conditions that affect the joints and surrounding tissues. It is a leading cause of activity limitations, disability, and chronic pain, and is associated with dispensed opioid prescriptions, substantially contributing to health care costs. Combined 2019-2021 National Health Interview Survey data were analyzed to update national prevalence estimates of self-reported diagnosed arthritis. An estimated 21.2% (18.7% age-standardized) of U.S. adults aged ≥18 years (53.2 million) had diagnosed arthritis during this time frame. Age-standardized arthritis prevalences were higher among women (20.9%) than men (16.3%), among veterans (24.2%) than nonveterans (18.5%), and among non-Hispanic White (20.1%) than among Hispanic or Latino (14.7%) or non-Hispanic Asian adults (10.3%). Adults aged ≥45 years represent 88.3% of all U.S. adults with arthritis. Unadjusted arthritis prevalence was high among adults with chronic obstructive pulmonary disease (COPD) (57.6%), dementia (55.9%), a disability (54.8%), stroke (52.6%), heart disease (51.5%), diabetes (43.1%), or cancer (43.1%). Approximately one half of adults aged ≥65 years with COPD, dementia, stroke, heart disease, diabetes, or cancer also had a diagnosis of arthritis. These prevalence estimates can be used to guide public health policies and activities to increase equitable access to physical activity opportunities within the built environment and other arthritis-appropriate, evidence-based interventions.

Understanding barriers to participation in group chronic disease self-management (CDSM) programs: A scoping review

OBJECTIVE

To identify factors that influence enrollment in and attendance of chronic disease self-management (CDSM) group programs.

METHODS

A scoping review of peer-reviewed publications that reported on factors of enrollment or attendance in group CDSM programs for adults with any type of chronic condition. Screening was completed by two reviewers and data extraction was checked for accuracy. Data were summarized and key themes were identified in collaboration with the study team.

RESULTS

Following screening, 52 of 2774 articles were included. Attendance rates that varied from 10.4-98.5% (mean =72.5%). There is considerable overlap between enrollment and attendance factors. These included Competing Commitments, Logistics, Personal characteristics, Perception of illness/health status, Health service provision, and Group dynamics.

CONCLUSIONS

Varied and individualized factors can facilitate or impede enrollment or attendance in group CDSM programs. Consideration of these factors and tailoring of programs is needed to facilitate patient ability to take part. Participatory co-design is a growing approach to ensure programs meet individual and community needs. More research is needed to identify the specific impact of using codesign on enrollment and attendance in group CDSM programs.

PRACTICE IMPLICATIONS

Including community members and service users in design and implementation may enhance CDSM program access.

Does Healthcare Provider Counseling for Weight Management Behaviors among Hispanic Adults Who Are Overweight/Obese Vary by Acculturation Level?

This cross-sectional study explored differences in the receipt of health care provider (HCP) counseling to control/lose weight and adopt weight-related lifestyle behavior changes among Hispanic respondents according to acculturation level. Differences in reported action regarding HCP counseling were also examined. Data from four National Health and Nutrition Examination Survey (NHANES) cycles (2011-2018) were analyzed, with the analytic sample limited to Hispanic respondents who were overweight/obese. Respondents' acculturation levels were derived from their reported country of origin and the primary language spoken at home. Respondents who reported speaking only Spanish or more Spanish than English at home were classified as primarily speaking Spanish at home. In contrast, those who reported speaking Spanish and English equally, more English than Spanish, or only English were categorized as primarily speaking English at home. Weighted multivariate logistic regression models were utilized to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to determine if differences in acculturation levels existed regarding the likelihood of receiving HCP counseling to (1) control/lose weight, (2) increase exercise/PA, and (3) reduce fat/calorie intake. Similar analyses examined differences in reported action regarding HCP counseling according to acculturation level. The analysis found no significant differences in receiving HCP counseling according to acculturation level. However, non-US-born respondents who primarily spoke Spanish at home were less likely than US-born respondents to report acting to control/lose weight (p = 0.009) or increase exercise/PA (p = 0.048), but were more likely to report having taken action to reduce fat/calorie intake (p = 0.016). This study revealed differences between acting on recommendations of health care professionals according to acculturation level, indicating a need for interventions tailored to acculturation levels.

Self-Management Education Class Attendance and Health Care Provider Counseling for Physical Activity Among Adults with Arthritis - United States, 2019

Arthritis is a highly prevalent and disabling condition among U.S. adults (1); arthritis-attributable functional limitations and severe joint pain affect many aspects of health and quality of life (2). Self-management education (self-management) and physical activity can reduce pain and improve the health status and quality of life of adults with arthritis; however, in 2014, only 11.4% and 61.0% of arthritis patients reported engaging in each, respectively. To assess self-reported self-management class attendance and health care provider physical activity counseling among adults with doctor-diagnosed arthritis, CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data. In 2019, an age-standardized state median of one in six (16.2%) adults with arthritis reported ever attending a self-management class, and 69.3% reported ever receiving health care provider counselling to be physically active. Prevalences of both differed by state and sociodemographic characteristics; decreased with lower educational attainment, joint pain severity, and urbanicity; and were lower in men than in women. Health care providers can play an important role in promoting self-management class attendance and physical activity by counseling arthritis patients about their benefits and referring patients to evidence-based programs (3).

Associations of Arthritis-Attributable Interference with Routine Life Activities: A Modifiable Source of Compromised Quality-of-Life

OBJECTIVE

Arthritis patients experience the impact of disease beyond routinely assessed clinical measures. We characterized arthritis-attributable interference in four important routine life domains: 1) recreation/leisure/hobbies; 2) household chores; 3) errands/shopping; and 4) social activities.

METHODS

Participants were from the Arthritis Conditions Health Effects Survey (2005-2006), a cross-sectional survey of noninstitutionalized US adults 45 years or older with doctor-diagnosed arthritis (n = 1793). We estimated the prevalence of "a lot" of arthritis-attributable interference and quantified the associations between sociodemographic, clinical, and psychological characteristics and "a lot" of arthritis-attributable interference (vs "a little" or "none") in each domain using prevalence ratios (PRs) in multivariable (MV)-adjusted logistic regression models.

RESULTS

An estimated 1 in 5 to 1 in 4 adults with arthritis reported "a lot" of arthritis-attributable interference in recreation/leisure/hobbies (27%), household chores (25%), errands/shopping (22%), and social activities (18%). The highest prevalence of "a lot" of arthritis-attributable interference was for those unable to work/disabled or reporting severe arthritis symptoms (pain, stiffness, fatigue), anxiety, depression, or no/low confidence in ability to manage arthritis, across domains. In MV-adjusted models, those unable to work/disabled, currently seeing a doctor, or reporting fair/poor self-rated health, severe joint pain, anxiety, or no/low confidence in ability to manage arthritis were more likely to report arthritis-attributable interference than their respective counterparts. Magnitudes varied by domain but were consistently strongest for those unable to work/disabled (MV PR range = 1.8-2.5) and with fair/poor health (MV PR range = 1.7-2.7).

CONCLUSION

Many characteristics associated with arthritis-attributable interference in routine life activities are potentially modifiable, suggesting unmet need for use of existing evidence-based interventions that address these characteristics and reduce interferences to improve quality of life.